Automated Intelligibility Assessment of Pathological Speech Using Phonological Features

NASA Astrophysics Data System (ADS)

Middag, Catherine; Martens, Jean-Pierre; Van Nuffelen, Gwen; De Bodt, Marc

2009-12-01

It is commonly acknowledged that word or phoneme intelligibility is an important criterion in the assessment of the communication efficiency of a pathological speaker. People have therefore put a lot of effort in the design of perceptual intelligibility rating tests. These tests usually have the drawback that they employ unnatural speech material (e.g., nonsense words) and that they cannot fully exclude errors due to listener bias. Therefore, there is a growing interest in the application of objective automatic speech recognition technology to automate the intelligibility assessment. Current research is headed towards the design of automated methods which can be shown to produce ratings that correspond well with those emerging from a well-designed and well-performed perceptual test. In this paper, a novel methodology that is built on previous work (Middag et al., 2008) is presented. It utilizes phonological features, automatic speech alignment based on acoustic models that were trained on normal speech, context-dependent speaker feature extraction, and intelligibility prediction based on a small model that can be trained on pathological speech samples. The experimental evaluation of the new system reveals that the root mean squared error of the discrepancies between perceived and computed intelligibilities can be as low as 8 on a scale of 0 to 100.

Advanced training systems

NASA Technical Reports Server (NTRS)

Savely, Robert T.; Loftin, R. Bowen

1990-01-01

Training is a major endeavor in all modern societies. Common training methods include training manuals, formal classes, procedural computer programs, simulations, and on-the-job training. NASA's training approach has focussed primarily on on-the-job training in a simulation environment for both crew and ground based personnel. NASA must explore new approaches to training for the 1990's and beyond. Specific autonomous training systems are described which are based on artificial intelligence technology for use by NASA astronauts, flight controllers, and ground based support personnel that show an alternative to current training systems. In addition to these specific systems, the evolution of a general architecture for autonomous intelligent training systems that integrates many of the features of traditional training programs with artificial intelligence techniques is presented. These Intelligent Computer Aided Training (ICAT) systems would provide much of the same experience that could be gained from the best on-the-job training.

Microcomputer Intelligence for Technical Training (MITT): The evolution of an intelligent tutoring system

NASA Technical Reports Server (NTRS)

Norton, Jeffrey E.; Wiederholt, Bradley J.; Johnson, William B.

1990-01-01

Microcomputer Intelligence for Technical Training (MITT) uses Intelligent Tutoring System (OTS) technology to deliver diagnostic training in a variety of complex technical domains. Over the past six years, MITT technology has been used to develop training systems for nuclear power plant diesel generator diagnosis, Space Shuttle fuel cell diagnosis, and message processing diagnosis for the Minuteman missile. Presented here is an overview of the MITT system, describing the evolution of the MITT software and the benefits of using the MITT system.

STEM-based science learning implementation to identify student’s personal intelligences profiles

NASA Astrophysics Data System (ADS)

Wiguna, B. J. P. K.; Suwarma, I. R.; Liliawati, W.

2018-05-01

Science and technology are rapidly developing needs to be balanced with the human resources that have the qualified ability. Not only cognitive ability, but also have the soft skills that support 21st century skills. Science, Technology, Engineering, and Mathematics (STEM) Education is a solution to improve the quality of learning and prepare students may be able to trained 21st century skills. This study aims to analyse the implementation of STEM-based science learning on Newton’s law of motion by identifying the personal intelligences profile junior high school students. The method used in this research is pre experiment with the design of the study one group pre-test post-test. Samples in this study were 26 junior high school students taken using Convenience Sampling. Students personal intelligences profile after learning STEM-based science uses two instruments, self-assessment and peer assessment. Intrapersonal intelligence profile based self-assessment and peer assessment are respectively 69.38; and 64.08. As for interpersonal intelligence for self-assessment instrument is 73 and the peer assessment is 60.23.

A Potential Spatial Working Memory Training Task to Improve Both Episodic Memory and Fluid Intelligence

PubMed Central

Rudebeck, Sarah R.; Bor, Daniel; Ormond, Angharad; O’Reilly, Jill X.; Lee, Andy C. H.

2012-01-01

One current challenge in cognitive training is to create a training regime that benefits multiple cognitive domains, including episodic memory, without relying on a large battery of tasks, which can be time-consuming and difficult to learn. By giving careful consideration to the neural correlates underlying episodic and working memory, we devised a computerized working memory training task in which neurologically healthy participants were required to monitor and detect repetitions in two streams of spatial information (spatial location and scene identity) presented simultaneously (i.e. a dual n-back paradigm). Participants’ episodic memory abilities were assessed before and after training using two object and scene recognition memory tasks incorporating memory confidence judgments. Furthermore, to determine the generalizability of the effects of training, we also assessed fluid intelligence using a matrix reasoning task. By examining the difference between pre- and post-training performance (i.e. gain scores), we found that the trainers, compared to non-trainers, exhibited a significant improvement in fluid intelligence after 20 days. Interestingly, pre-training fluid intelligence performance, but not training task improvement, was a significant predictor of post-training fluid intelligence improvement, with lower pre-training fluid intelligence associated with greater post-training gain. Crucially, trainers who improved the most on the training task also showed an improvement in recognition memory as captured by d-prime scores and estimates of recollection and familiarity memory. Training task improvement was a significant predictor of gains in recognition and familiarity memory performance, with greater training improvement leading to more marked gains. In contrast, lower pre-training recollection memory scores, and not training task improvement, led to greater recollection memory performance after training. Our findings demonstrate that practice on a single working memory task can potentially improve aspects of both episodic memory and fluid intelligence, and that an extensive training regime with multiple tasks may not be necessary. PMID:23209740

A potential spatial working memory training task to improve both episodic memory and fluid intelligence.

PubMed

Rudebeck, Sarah R; Bor, Daniel; Ormond, Angharad; O'Reilly, Jill X; Lee, Andy C H

2012-01-01

One current challenge in cognitive training is to create a training regime that benefits multiple cognitive domains, including episodic memory, without relying on a large battery of tasks, which can be time-consuming and difficult to learn. By giving careful consideration to the neural correlates underlying episodic and working memory, we devised a computerized working memory training task in which neurologically healthy participants were required to monitor and detect repetitions in two streams of spatial information (spatial location and scene identity) presented simultaneously (i.e. a dual n-back paradigm). Participants' episodic memory abilities were assessed before and after training using two object and scene recognition memory tasks incorporating memory confidence judgments. Furthermore, to determine the generalizability of the effects of training, we also assessed fluid intelligence using a matrix reasoning task. By examining the difference between pre- and post-training performance (i.e. gain scores), we found that the trainers, compared to non-trainers, exhibited a significant improvement in fluid intelligence after 20 days. Interestingly, pre-training fluid intelligence performance, but not training task improvement, was a significant predictor of post-training fluid intelligence improvement, with lower pre-training fluid intelligence associated with greater post-training gain. Crucially, trainers who improved the most on the training task also showed an improvement in recognition memory as captured by d-prime scores and estimates of recollection and familiarity memory. Training task improvement was a significant predictor of gains in recognition and familiarity memory performance, with greater training improvement leading to more marked gains. In contrast, lower pre-training recollection memory scores, and not training task improvement, led to greater recollection memory performance after training. Our findings demonstrate that practice on a single working memory task can potentially improve aspects of both episodic memory and fluid intelligence, and that an extensive training regime with multiple tasks may not be necessary.

Effects of intelligibility on working memory demand for speech perception.

PubMed

Francis, Alexander L; Nusbaum, Howard C

2009-08-01

Understanding low-intelligibility speech is effortful. In three experiments, we examined the effects of intelligibility on working memory (WM) demands imposed by perception of synthetic speech. In all three experiments, a primary speeded word recognition task was paired with a secondary WM-load task designed to vary the availability of WM capacity during speech perception. Speech intelligibility was varied either by training listeners to use available acoustic cues in a more diagnostic manner (as in Experiment 1) or by providing listeners with more informative acoustic cues (i.e., better speech quality, as in Experiments 2 and 3). In the first experiment, training significantly improved intelligibility and recognition speed; increasing WM load significantly slowed recognition. A significant interaction between training and load indicated that the benefit of training on recognition speed was observed only under low memory load. In subsequent experiments, listeners received no training; intelligibility was manipulated by changing synthesizers. Improving intelligibility without training improved recognition accuracy, and increasing memory load still decreased it, but more intelligible speech did not produce more efficient use of available WM capacity. This suggests that perceptual learning modifies the way available capacity is used, perhaps by increasing the use of more phonetically informative features and/or by decreasing use of less informative ones.

Artificial Intelligence Applications to High-Technology Training.

ERIC Educational Resources Information Center

Dede, Christopher

1987-01-01

Discusses the use of artificial intelligence to improve occupational instruction in complex subjects with high performance goals, such as those required for high-technology jobs. Highlights include intelligent computer assisted instruction, examples in space technology training, intelligent simulation environments, and the need for adult training…

The TENOR Architecture for Advanced Distributed Learning and Intelligent Training

DTIC Science & Technology

2002-01-01

called TENOR, for Training Education Network on Request. There have been a number of recent learning systems developed that leverage off Internet...AG2-14256 AIAA 2002-1054 The TENOR Architecture for Advanced Distributed Learning and Intelligent Training C. Tibaudo, J. Kristl and J. Schroeder...COVERED 4. TITLE AND SUBTITLE The TENOR Architecture for Advanced Distributed Learning and Intelligent Training 5a. CONTRACT NUMBER F33615-00-M

NASA/ARC proposed training in intelligent control

NASA Technical Reports Server (NTRS)

Berenji, Hamid R.

1990-01-01

Viewgraphs on NASA Ames Research Center proposed training in intelligent control was presented. Topics covered include: fuzzy logic control; neural networks in control; artificial intelligence in control; hybrid approaches; hands on experience; and fuzzy controllers.

Working memory training in healthy young adults: Support for the null from a randomized comparison to active and passive control groups.

PubMed

Clark, Cameron M; Lawlor-Savage, Linette; Goghari, Vina M

2017-01-01

Training of working memory as a method of increasing working memory capacity and fluid intelligence has received much attention in recent years. This burgeoning field remains highly controversial with empirically-backed disagreements at all levels of evidence, including individual studies, systematic reviews, and even meta-analyses. The current study investigated the effect of a randomized six week online working memory intervention on untrained cognitive abilities in a community-recruited sample of healthy young adults, in relation to both a processing speed training active control condition, as well as a no-contact control condition. Results of traditional null hypothesis significance testing, as well as Bayesian factor analyses, revealed support for the null hypothesis across all cognitive tests administered before and after training. Importantly, all three groups were similar at pre-training for a variety of individual variables purported to moderate transfer of training to fluid intelligence, including personality traits, motivation to train, and expectations of cognitive improvement from training. Because these results are consistent with experimental trials of equal or greater methodological rigor, we suggest that future research re-focus on: 1) other promising interventions known to increase memory performance in healthy young adults, and; 2) examining sub-populations or alternative populations in which working memory training may be efficacious.

The Development of an Officer Training School Board Score Prediction Method Using a Multi-Board Approach

DTIC Science & Technology

1991-03-01

forms: ". ..application blanks, biographical inventories , interviews, work sample tests, and intelligence, aptitude, and personality tests" (1:11...the grouping method, 3) the task method, and 4) the knowledge , skills, abilities (KSA) method. The point method of measuring training/experience assigns... knowledge , skills, abilities, and other characteristics which relate specifically to each job element (3:131). Interview. According to N. Schmitt

Working Memory Training Does Not Improve Intelligence in Healthy Young Adults

ERIC Educational Resources Information Center

Chooi, Weng-Tink; Thompson, Lee A.

2012-01-01

Jaeggi and her colleagues claimed that they were able to improve fluid intelligence by training working memory. Subjects who trained their working memory on a dual n-back task for a period of time showed significant improvements in working memory span tasks and fluid intelligence tests such as the Raven's Progressive Matrices and the Bochumer…

Intelligent computer-aided training and tutoring

NASA Technical Reports Server (NTRS)

Loftin, R. Bowen; Savely, Robert T.

1991-01-01

Specific autonomous training systems based on artificial intelligence technology for use by NASA astronauts, flight controllers, and ground-based support personnel that demonstrate an alternative to current training systems are described. In addition to these specific systems, the evolution of a general architecture for autonomous intelligent training systems that integrates many of the features of traditional training programs with artificial intelligence techniques is presented. These Intelligent Computer-Aided Training (ICAT) systems would provide, for the trainee, much of the same experience that could be gained from the best on-the-job training. By integrating domain expertise with a knowledge of appropriate training methods, an ICAT session should duplicate, as closely as possible, the trainee undergoing on-the-job training in the task environment, benefitting from the full attention of a task expert who is also an expert trainer. Thus, the philosophy of the ICAT system is to emulate the behavior of an experienced individual devoting his full time and attention to the training of a novice - proposing challenging training scenarios, monitoring and evaluating the actions of the trainee, providing meaningful comments in response to trainee errors, responding to trainee requests for information, giving hints (if appropriate), and remembering the strengths and weaknesses displayed by the trainee so that appropriate future exercises can be designed.

Proceedings of the 1993 Conference on Intelligent Computer-Aided Training and Virtual Environment Technology

NASA Technical Reports Server (NTRS)

Hyde, Patricia R.; Loftin, R. Bowen

1993-01-01

The volume 2 proceedings from the 1993 Conference on Intelligent Computer-Aided Training and Virtual Environment Technology are presented. Topics discussed include intelligent computer assisted training (ICAT) systems architectures, ICAT educational and medical applications, virtual environment (VE) training and assessment, human factors engineering and VE, ICAT theory and natural language processing, ICAT military applications, VE engineering applications, ICAT knowledge acquisition processes and applications, and ICAT aerospace applications.

Implicit theories and ability emotional intelligence

PubMed Central

Cabello, Rosario; Fernández-Berrocal, Pablo

2015-01-01

Previous research has shown that people differ in their implicit theories about the essential characteristics of intelligence and emotions. Some people believe these characteristics to be predetermined and immutable (entity theorists), whereas others believe that these characteristics can be changed through learning and behavior training (incremental theorists). The present study provides evidence that in healthy adults (N = 688), implicit beliefs about emotions and emotional intelligence (EI) may influence performance on the ability-based Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). Adults in our sample with incremental theories about emotions and EI scored higher on the MSCEIT than entity theorists, with implicit theories about EI showing a stronger relationship to scores than theories about emotions. Although our participants perceived both emotion and EI as malleable, they viewed emotions as more malleable than EI. Women and young adults in general were more likely to be incremental theorists than men and older adults. Furthermore, we found that emotion and EI theories mediated the relationship of gender and age with ability EI. Our findings suggest that people’s implicit theories about EI may influence their emotional abilities, which may have important consequences for personal and professional EI training. PMID:26052309

ORGANIZING, TRAINING, AND RETAINING INTELLIGENCE PROFESSIONALS FOR CYBER OPERATIONS

DTIC Science & Technology

2016-02-13

in Education,” Preventing School Failure 57(3), (2013): 162-170. Wall , Andru, “Demystifying the Title 10-Title 50 Debate,” Harvard Law School...AIR WAR COLLEGE AIR UNIVERSITY ORGANIZING, TRAINING, AND RETAINING INTELLIGENCE PROFESSIONALS FOR CYBER OPERATIONS by Melissa A...to adequately organize, train and retain cyber expertise. This is especially true within Air Force intelligence, a critical component of the

The effects of emotional intelligence training on the job performance of Australian aged care workers.

PubMed

Karimi, Leila; Leggat, Sandra G; Bartram, Timothy; Rada, Jiri

2018-05-09

Emotional intelligence (EI) training is popular among human resource practitioners, but there is limited evidence of the impact of such training on health care workers. In the current article, we examine the effects of EI training on quality of resident care and worker well-being and psychological empowerment in an Australian aged care facility. We use Bar-On's (1997) conceptualization of EI. We used a quasiexperimental design in 2014-2015 with experimental (training) and control (nontraining) groups of 60 participants in each group in two geographically separate facilities. Our final poststudy sample size was 27 participants for the training group and 17 participants for the control group. Over a 6-month period, we examined whether staff improved their well-being, psychological empowerment, and job performance measured as enhanced quality of care (self-rated and client-rated) by applying skills in EI. The results showed significant improvement among workers in the training group for EI scores, quality of care, general well-being, and psychological empowerment. There were no significant differences for the control group. Through examining the impact of EI training on staff and residents of an aged care facility, we demonstrate the benefits of EI training for higher quality of care delivery. This study demonstrates the practical process through which EI training can improve the work experiences of aged care workers, as well as the quality of care for residents.

Artificial Intelligence Applications to Learning and Training. Occasional Paper--InTER/2/88.

ERIC Educational Resources Information Center

Cumming, Geoff

This report summarizes and interprets the discussions at a seminar on artificial intelligence (AI) training domains and knowledge representations which was sponsored by the United Kingdom Training Commission. The following broad areas are addressed: (1) the context, process, and diversity of requirements of training and training needs; (2)…

Exploiting Artificial Intelligence To Enhance Training: A Short- and Medium-Term Perspective.

ERIC Educational Resources Information Center

Cumming, Geoff

This paper is an introductory discussion of industrial training, artificial intelligence (AI), and AI applications in training, prepared in the context of the United Kingdom Training Commission (TC) program. Following an outline of the activities and aims of the program, individual sections describe perspectives on: (1) training needs, including…

Facial Recognition Training: Improving Intelligence Collection by Soldiers

DTIC Science & Technology

2008-01-01

Facial Recognition Training: Improving Intelligence Collection by Soldiers By: 2LT Michael Mitchell, MI, ALARNG “In combat, you don’t rise to...technology, but on patrol a Soldier cannot use a device as quickly as simply looking at the subject. Why is Facial Recognition Difficult? Soldiers...00-2008 to 00-00-2008 4. TITLE AND SUBTITLE Facial Recognition Training: Improving Intelligence Collection by Soldiers 5a. CONTRACT NUMBER 5b

Multidimensional Aptitude Battery-Second Edition Intelligence Testing of Remotely Piloted Aircraft Training Candidates Compared with Manned Airframe Training Candidates

DTIC Science & Technology

2015-03-01

assessing the general intelligence and neuropsychological aptitudes of USAF RPA pilot training candidates. Chappelle et al. obtained comprehensive...computer-based intelligence testing (Multidimensional Aptitude Battery-Second Edition [MAB-II]) and neuropsychological screening (MicroCog) on USAF MQ-1... schizophrenia , attention deficit hyperactivity disorder, and autism spectrum disorders) and not on very high functioning populations such as aviators

Working memory training in healthy young adults: Support for the null from a randomized comparison to active and passive control groups

PubMed Central

Lawlor-Savage, Linette; Goghari, Vina M.

2017-01-01

Training of working memory as a method of increasing working memory capacity and fluid intelligence has received much attention in recent years. This burgeoning field remains highly controversial with empirically-backed disagreements at all levels of evidence, including individual studies, systematic reviews, and even meta-analyses. The current study investigated the effect of a randomized six week online working memory intervention on untrained cognitive abilities in a community-recruited sample of healthy young adults, in relation to both a processing speed training active control condition, as well as a no-contact control condition. Results of traditional null hypothesis significance testing, as well as Bayesian factor analyses, revealed support for the null hypothesis across all cognitive tests administered before and after training. Importantly, all three groups were similar at pre-training for a variety of individual variables purported to moderate transfer of training to fluid intelligence, including personality traits, motivation to train, and expectations of cognitive improvement from training. Because these results are consistent with experimental trials of equal or greater methodological rigor, we suggest that future research re-focus on: 1) other promising interventions known to increase memory performance in healthy young adults, and; 2) examining sub-populations or alternative populations in which working memory training may be efficacious. PMID:28558000

Command History for 1990

DTIC Science & Technology

1991-05-01

Marine Corps Tiaining Systems (CBESS) memorization training Inteligence Center, Dam Neck Threat memorization training Commander Tactical Wings, Atlantic...News Shipbuilding Technical training AEGIS Training Center, Dare Artificial Intelligence (Al) Tools Computerized firm-end analysis tools NETSCPAC...Technology Department and provides computational and electronic mail support for research in areas of artificial intelligence, computer-assisted instruction

Predictors of effective leadership in industry - should engineering education focus on traditional intelligence, personality, or emotional intelligence?

NASA Astrophysics Data System (ADS)

Lappalainen, Pia

2015-03-01

Despite the changing global and industrial conditions requiring new approaches to leadership, management training as part of higher engineering education still remains understudied. The subsequent gap in engineering education calls for research on today's leader requirements and pedagogy supporting the inclusion of management competence in higher engineering education. Previous organisation and management studies have, on a general level, established the importance of managerial qualities for industrial performance, but the nature and make-up of these qualifications has not been adequately analysed. To fill the related research gap, the present work embarked on a quantitative empirical effort to identify predictors of successful leadership in engineering. In particular, this study investigated relationships between perceived leader performance and three dimensions of managerial capability: (1) mathematical-logical intelligence, (2) personality, and (3) socio-emotional intelligence. This work complemented previous research by resorting to both self-reports and other-reports: the results acquired from the managerial sample were compared to subordinate perceptions as measured through an emotive intelligence other-report and a general managerial competence multi-source appraisal. The sample comprised 80 superiors and 354 subordinates operating in seven organisations in engineering industries. The results from the quantitative measurements signalled the strongest correlation for socio-emotional intelligence and certain personality dimensions with successful leadership. Mathematical-logical intelligence demonstrated no correlation with subordinate perceptions of good leadership. These findings lay the foundation for the incorporation of socio-emotive skills into higher engineering education.

Effects of Lexical and Somatosensory Feedback on Long-Term Improvements in Intelligibility of Dysarthric Speech

ERIC Educational Resources Information Center

Borrie, Stephanie A.; Schäfer, Martina C. M.

2017-01-01

Purpose: Intelligibility improvements immediately following perceptual training with dysarthric speech using lexical feedback are comparable to those observed when training uses somatosensory feedback (Borrie & Schäfer, 2015). In this study, we investigated if these lexical and somatosensory guided improvements in listener intelligibility of…

Intelligent Augmented Reality Training for Motherboard Assembly

ERIC Educational Resources Information Center

Westerfield, Giles; Mitrovic, Antonija; Billinghurst, Mark

2015-01-01

We investigate the combination of Augmented Reality (AR) with Intelligent Tutoring Systems (ITS) to assist with training for manual assembly tasks. Our approach combines AR graphics with adaptive guidance from the ITS to provide a more effective learning experience. We have developed a modular software framework for intelligent AR training…

28 CFR 16.96 - Exemption of Federal Bureau of Investigation Systems-limited access.

Code of Federal Regulations, 2010 CFR

2010-07-01

...) would limit the ability of trained investigators and intelligence analysts to exercise their judgment in reporting on investigations and impede the development of criminal intelligence necessary for effective law... subsection (e)(5) would limit the ability of trained investigators and intelligence analysts to exercise...

Teaching the Teachers: Emotional Intelligence Training for Teachers

ERIC Educational Resources Information Center

Hen, Meirav; Sharabi-Nov, Adi

2014-01-01

A growing body of research in recent years has supported the value of emotional intelligence in both effective teaching and student achievement. This paper presents a pre-post, quasi-experimental design study conducted to evaluate the contributions of a 56-h "Emotional Intelligence" training model. The model has been developed and…

Video-Games: Do They Require General Intelligence?

ERIC Educational Resources Information Center

Quiroga, M. A.; Herranz, M.; Gomez-Abad, M.; Kebir, M.; Ruiz, J.; Colom, Roberto

2009-01-01

Here we test if playing video-games require intelligence. Twenty-seven university undergraduate students were trained on three games from Big Brain Academy (Wii): Calculus, Backward Memory and Train. Participants did not have any previous experience with these games. General intelligence was measured by five ability tests before the training…

Investigating the Improvement of Decoding Abilities and Working Memory in Children with Incremental or Entity Personal Conceptions of Intelligence: Two Case Reports

PubMed Central

Alesi, Marianna; Rappo, Gaetano; Pepi, Annamaria

2016-01-01

One of the most significant current discussions has led to the hypothesis that domain-specific training programs alone are not enough to improve reading achievement or working memory abilities. Incremental or Entity personal conceptions of intelligence may be assumed to be an important prognostic factor to overcome domain-specific deficits. Specifically, incremental students tend to be more oriented toward change and autonomy and are able to adopt more efficacious strategies. This study aims at examining the effect of personal conceptions of intelligence to strengthen the efficacy of a multidimensional intervention program in order to improve decoding abilities and working memory. Participants included two children (M age = 10 years) with developmental dyslexia and different conceptions of intelligence. The children were tested on a whole battery of reading and spelling tests commonly used in the assessment of reading disabilities in Italy. Afterwards, they were given a multimedia test to measure motivational factors such as conceptions of intelligence and achievement goals. The children took part in the T.I.R.D. Multimedia Training for the Rehabilitation of Dyslexia (Rappo and Pepi, 2010) reinforced by specific units to improve verbal working memory for 3 months. This training consisted of specific tasks to rehabilitate both visual and phonological strategies (sound blending, word segmentation, alliteration test and rhyme test, letter recognition, digraph recognition, trigraph recognition, and word recognition as samples of visual tasks) and verbal working memory (rapid words and non-words recognition). Posttest evaluations showed that the child holding the incremental theory of intelligence improved more than the child holding a static representation. On the whole this study highlights the importance of treatment programs in which both specificity of deficits and motivational factors are both taken into account. There is a need to plan multifaceted intervention programs based on a transverse approach, considering both cognitive and motivational factors. PMID:26779069

The effect of relational training on intelligence quotient: a case study.

PubMed

Vizcaíno-Torres, Rosa M; Ruiz, Francisco J; Luciano, Carmen; López-López, Juan C; Barbero-Rubio, Adrián; Gil, Enriquel

2015-01-01

Relational training protocols based on Relational Frame Theory (RFT) are showing promising results in increasing intelligence quotient. This case study aimed at analyzing the effect of a training protocol in fluency and flexibility in relational responding on intelligence quotient with a 4-year-old child. The child’s cognitive and psychomotor development was evaluated before and after the implementation of the training protocol using the McCarthy’s Aptitudes and Psychomotricity Scale (MSCA). The training protocol consisted of a multiple-exemplar-training (MET) in relational framing in accordance with COORDINATION (Phases 1 and 2), OPPOSITION (Phase 3 and 4), and COMPARISON (Phases 5 and 6). The MET protocol was implemented in approximately 12 hours throughout five and one half months. The training was effective in establishing relational responding in OPPOSITION and COMPARISON frames as well as in promoting fluency and flexibility in all the three types of trained relations. After this training, the child showed an increase above 1.5 SD in the General Cognitive Index of the MSCA (from 106 to 131). This case study adds further empirical evidence of the potential of RFT training to improve cognitive abilities and intelligence.

Survey of Intelligent Computer-Aided Training

NASA Technical Reports Server (NTRS)

Loftin, R. B.; Savely, Robert T.

1992-01-01

Intelligent Computer-Aided Training (ICAT) systems integrate artificial intelligence and simulation technologies to deliver training for complex, procedural tasks in a distributed, workstation-based environment. Such systems embody both the knowledge of how to perform a task and how to train someone to perform that task. This paper briefly reviews the antecedents of ICAT systems and describes the approach to their creation developed at the NASA Lyndon B. Johnson Space Center. In addition to the general ICAT architecture, specific ICAT applications that have been or are currently under development are discussed. ICAT systems can offer effective solutions to a number of training problems of interest to the aerospace community.

The Impact of Critical Thinking Strategies on Curriculum and Instruction for USAF Operations Intelligence

ERIC Educational Resources Information Center

Baker, Jason R.

2017-01-01

The goals of the present action research study were to understand intelligence analysts' perceptions of weapon systems visual recognition ("vis-recce") training and to determine the impact of a Critical Thinking Training (CTT) Seminar and Formative Assessments on unit-level intelligence analysts' "vis-recce" performance at a…

Representing System Behaviors and Expert Behaviors for Intelligent Tutoring. Technical Report No. 108.

ERIC Educational Resources Information Center

Towne, Douglas M.; And Others

Simulation-based software tools that can infer system behaviors from a deep model of the system have the potential for automatically building the semantic representations required to support intelligent tutoring in fault diagnosis. The Intelligent Maintenance Training System (IMTS) is such a resource, designed for use in training troubleshooting…

Intelligent tutoring systems for space applications

NASA Technical Reports Server (NTRS)

Luckhardt-Redfield, Carol A.

1990-01-01

Artificial Intelligence has been used in many space applications. Intelligent tutoring systems (ITSs) have only recently been developed for assisting training of space operations and skills. An ITS at Southwest Research Institute is described as an example of an ITS application for space operations, specifically, training console operations at mission control. A distinction is made between critical skills and knowledge versus routine skills. Other ITSs for space are also discussed and future training requirements and potential ITS solutions are described.

Methamphetamine

MedlinePlus

... OPERATIONS Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip DRUG INFO Drug Fact Sheets ... Operations Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip Drug Info Drug Fact Sheets ...

Narcotics

MedlinePlus

... OPERATIONS Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip DRUG INFO Drug Fact Sheets ... Operations Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip Drug Info Drug Fact Sheets ...

Hydrocodone

MedlinePlus

... OPERATIONS Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip DRUG INFO Drug Fact Sheets ... Operations Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip Drug Info Drug Fact Sheets ...

The Effects of Taekwondo Training on Brain Connectivity and Body Intelligence.

PubMed

Kim, Young Jae; Cha, Eun Joo; Kim, Sun Mi; Kang, Kyung Doo; Han, Doug Hyun

2015-07-01

Many studies have reported that Taekwondo training could improve body perception, control and brain activity, as assessed with an electroencephalogram. This study aimed to assess body intelligence and brain connectivity in children with Taekwondo training as compared to children without Taekwondo training. Fifteen children with Taekwondo training (TKD) and 13 age- and sex-matched children who had no previous experience of Taekwondo training (controls) were recruited. Body intelligence, clinical characteristics and brain connectivity in all children were assessed with the Body Intelligence Scale (BIS), self-report, and resting state functional magnetic resonance imaging. The mean BIS score in the TKD group was higher than that in the control group. The TKD group showed increased low-frequency fluctuations in the right frontal precentral gyrus and the right parietal precuneus, compared to the control group. The TKD group showed positive cerebellum vermis (lobe VII) seed to the right frontal, left frontal, and left parietal lobe. The control group showed positive cerebellum seed to the left frontal, parietal, and occipital cortex. Relative to the control group, the TKD group showed increased functional connectivity from cerebellum seed to the right inferior frontal gyrus. To the best of our knowledge, this is the first study to assess the effect of Taekwondo training on brain connectivity in children. Taekwondo training improved body intelligence and brain connectivity from the cerebellum to the parietal and frontal cortex.

Battle Command Staff Training

DTIC Science & Technology

1992-12-01

warfare ? • How does one develop training exercises to exploit this medium? • What are some of the implications for institutional training? The DARPA...IDT Inactive Duty Training JEW IIntelligencel•ectronic Warfare I FOR Intelligent Forces IPB Intelligence Preparation of the Battlefield JAAT Joint Air... Chemical xiI NFA No Fire Area NGB Nationhl Guard Bureau NTC National Training Center OAC Officers Advanced Cours- OC Observer/Controllcr OCI Observer

Heroin Photos

MedlinePlus

... OPERATIONS Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip DRUG INFO Drug Fact Sheets ... Operations Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip Drug Info Drug Fact Sheets ...

The effectiveness of staff training focused on increasing emotional intelligence and improving interaction between support staff and clients.

PubMed

Zijlmans, L J M; Embregts, P J C M; Gerits, L; Bosman, A M T; Derksen, J J L

2015-07-01

Recent research addressed the relationship between staff behaviour and challenging behaviour of individuals with an intellectual disability (ID). Consequently, research on interventions aimed at staff is warranted. The present study focused on the effectiveness of a staff training aimed at emotional intelligence and interactions between staff and clients. The effects of the training on emotional intelligence, coping style and emotions of support staff were investigated. Participants were 214 support staff working within residential settings for individuals with ID and challenging behaviour. The experimental group consisted of 76 staff members, 138 staff members participated in two different control groups. A pre-test, post-test, follow-up control group design was used. Effectiveness was assessed using questionnaires addressing emotional intelligence, coping and emotions. Emotional intelligence of the experimental group changed significantly more than that of the two control groups. The experimental group showed an increase in task-oriented coping, whereas one control group did not. The results with regard to emotions were mixed. Follow-up data revealed that effects within the experimental group were still present four months after the training ended. A staff training aimed at emotional intelligence and staff-client interactions is effective in improving emotional intelligence and coping styles of support staff. However, the need for more research aiming at the relationship between staff characteristics, organisational factors and their mediating role in the effectiveness of staff training is emphasised. © 2014 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.

Working memory training may increase working memory capacity but not fluid intelligence.

PubMed

Harrison, Tyler L; Shipstead, Zach; Hicks, Kenny L; Hambrick, David Z; Redick, Thomas S; Engle, Randall W

2013-12-01

Working memory is a critical element of complex cognition, particularly under conditions of distraction and interference. Measures of working memory capacity correlate positively with many measures of real-world cognition, including fluid intelligence. There have been numerous attempts to use training procedures to increase working memory capacity and thereby performance on the real-world tasks that rely on working memory capacity. In the study reported here, we demonstrated that training on complex working memory span tasks leads to improvement on similar tasks with different materials but that such training does not generalize to measures of fluid intelligence.

Neural computing thermal comfort index PMV for the indoor environment intelligent control system

NASA Astrophysics Data System (ADS)

Liu, Chang; Chen, Yifei

2013-03-01

Providing indoor thermal comfort and saving energy are two main goals of indoor environmental control system. An intelligent comfort control system by combining the intelligent control and minimum power control strategies for the indoor environment is presented in this paper. In the system, for realizing the comfort control, the predicted mean vote (PMV) is designed as the control goal, and with chastening formulas of PMV, it is controlled to optimize for improving indoor comfort lever by considering six comfort related variables. On the other hand, a RBF neural network based on genetic algorithm is designed to calculate PMV for better performance and overcoming the nonlinear feature of the PMV calculation better. The formulas given in the paper are presented for calculating the expected output values basing on the input samples, and the RBF network model is trained depending on input samples and the expected output values. The simulation result is proved that the design of the intelligent calculation method is valid. Moreover, this method has a lot of advancements such as high precision, fast dynamic response and good system performance are reached, it can be used in practice with requested calculating error.

Training emotional intelligence improves both emotional intelligence and depressive symptoms in inpatients with borderline personality disorder and depression.

PubMed

Jahangard, Leila; Haghighi, Mohammad; Bajoghli, Hafez; Ahmadpanah, Mohammad; Ghaleiha, Ali; Zarrabian, Mohammad Kazem; Brand, Serge

2012-09-01

Borderline personality disorder (BPD) is defined as a pervasive pattern of instability in emotion, mood and interpersonal relationships, with a comorbidity between PBD and depressive disorders (DD). A key competence for successful management of interpersonal relationships is emotional intelligence (EI). Given the low EI of patients suffering from BPD, the present study aimed at investigating the effect on both emotional intelligence and depression of training emotional intelligence in patients with BPD and DD. A total of 30 inpatients with BPD and DD (53% females; mean age 24.20 years) took part in the study. Patients were randomly assigned either to the treatment or to the control group. Pre- and post-testing 4 weeks later involved experts' rating of depressive disorder and self-reported EI. The treatment group received 12 sessions of training in components of emotional intelligence. Relative to the control group, EI increased significantly in the treatment group over time. Depressive symptoms decreased significantly over time in both groups, though improvement was greater in the treatment than the control group. For inpatients suffering from BPD and DD, regular skill training in EI can be successfully implemented and leads to improvements both in EI and depression. Results suggest an additive effect of EI training on both EI and depressive symptoms.

The Impact of Counsellor Training on Emotional Intelligence

ERIC Educational Resources Information Center

Pearson, Anne; Weinberg, Ashley

2017-01-01

This study evaluated the impact of counsellor training on emotional intelligence (EI) in 45 undergraduates and 58 postgraduates. Significant improvements were recorded by students on completion of both programmes, suggesting that these were attributable to training which enhanced intra- and interpersonal aspects of emotional functioning. As a…

Development and Application of a Multi-Modal Task Analysis to Support Intelligent Tutoring of Complex Skills

ERIC Educational Resources Information Center

Skinner, Anna; Diller, David; Kumar, Rohit; Cannon-Bowers, Jan; Smith, Roger; Tanaka, Alyssa; Julian, Danielle; Perez, Ray

2018-01-01

Background: Contemporary work in the design and development of intelligent training systems employs task analysis (TA) methods for gathering knowledge that is subsequently encoded into task models. These task models form the basis of intelligent interpretation of student performance within education and training systems. Also referred to as expert…

Methamphetamine Lab Incidents, 2004-2014

MedlinePlus

... OPERATIONS Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip DRUG INFO Drug Fact Sheets ... Operations Diversion Control Programs Most Wanted Fugitives Training Intelligence Submit a Tip Drug Info Drug Fact Sheets ...

Developing Meaningfulness at Work through Emotional Intelligence Training

ERIC Educational Resources Information Center

Thory, Kathryn

2016-01-01

To date, there remains a significant gap in the human resource development (HRD) literature in understanding how training and development contributes to meaningful work. In addition, little is known about how individuals proactively make their work more meaningful. This article shows how emotional intelligence (EI) training promotes learning about…

Working Memory Training: Improving Intelligence--Changing Brain Activity

ERIC Educational Resources Information Center

Jausovec, Norbert; Jausovec, Ksenija

2012-01-01

The main objectives of the study were: to investigate whether training on working memory (WM) could improve fluid intelligence, and to investigate the effects WM training had on neuroelectric (electroencephalography--EEG) and hemodynamic (near-infrared spectroscopy--NIRS) patterns of brain activity. In a parallel group experimental design,…

Emotional Intelligence: Pedagogical Considerations for Skills-Based Learning in Business Communication Courses

ERIC Educational Resources Information Center

Sigmar, Lucia; Hynes, Geraldine E.; Cooper, Tab

2010-01-01

This study investigates the effect of Emotional Intelligence (EQ) training on student satisfaction with the collaborative writing process and product. Business communication students at an AACSB-accredited state university worked collaboratively on writing assignments in pre-and post-EQ-training sessions. Pre-and post-training surveys measured…

Emotional Intelligence Training: A Case of Caveat Emptor

ERIC Educational Resources Information Center

Clarke, Nicholas

2006-01-01

Training programs purporting to develop emotional intelligence (EI) are widely available, yet to date few empirical studies have appeared in the literature providing support that training results in demonstrable changes to EI, and more significantly whether these changes can then be traced to more positive individual or organizational outcomes.…

On the Effects of Training Inductive Reasoning: How Far Does It Transfer and How Long Do the Effects Persist?

ERIC Educational Resources Information Center

Tomic, Welko; Klauer, Karl Josef

1996-01-01

Reports on two training experiments in which it was expected that training in inductive reasoning would transfer to intelligence tests measuring inductive reasoning and on mathematics performance. Shows that transfer on intelligence tests as well as on mathematics performance was linearly dependent on the amount of prior training. (DSK)

Intelligent diagnosis of short hydraulic signal based on improved EEMD and SVM with few low-dimensional training samples

NASA Astrophysics Data System (ADS)

Zhang, Meijun; Tang, Jian; Zhang, Xiaoming; Zhang, Jiaojiao

2016-03-01

The high accurate classification ability of an intelligent diagnosis method often needs a large amount of training samples with high-dimensional eigenvectors, however the characteristics of the signal need to be extracted accurately. Although the existing EMD(empirical mode decomposition) and EEMD(ensemble empirical mode decomposition) are suitable for processing non-stationary and non-linear signals, but when a short signal, such as a hydraulic impact signal, is concerned, their decomposition accuracy become very poor. An improve EEMD is proposed specifically for short hydraulic impact signals. The improvements of this new EEMD are mainly reflected in four aspects, including self-adaptive de-noising based on EEMD, signal extension based on SVM(support vector machine), extreme center fitting based on cubic spline interpolation, and pseudo component exclusion based on cross-correlation analysis. After the energy eigenvector is extracted from the result of the improved EEMD, the fault pattern recognition based on SVM with small amount of low-dimensional training samples is studied. At last, the diagnosis ability of improved EEMD+SVM method is compared with the EEMD+SVM and EMD+SVM methods, and its diagnosis accuracy is distinctly higher than the other two methods no matter the dimension of the eigenvectors are low or high. The improved EEMD is very propitious for the decomposition of short signal, such as hydraulic impact signal, and its combination with SVM has high ability for the diagnosis of hydraulic impact faults.

Baseline estimation in flame's spectra by using neural networks and robust statistics

NASA Astrophysics Data System (ADS)

Garces, Hugo; Arias, Luis; Rojas, Alejandro

2014-09-01

This work presents a baseline estimation method in flame spectra based on artificial intelligence structure as a neural network, combining robust statistics with multivariate analysis to automatically discriminate measured wavelengths belonging to continuous feature for model adaptation, surpassing restriction of measuring target baseline for training. The main contributions of this paper are: to analyze a flame spectra database computing Jolliffe statistics from Principal Components Analysis detecting wavelengths not correlated with most of the measured data corresponding to baseline; to systematically determine the optimal number of neurons in hidden layers based on Akaike's Final Prediction Error; to estimate baseline in full wavelength range sampling measured spectra; and to train an artificial intelligence structure as a Neural Network which allows to generalize the relation between measured and baseline spectra. The main application of our research is to compute total radiation with baseline information, allowing to diagnose combustion process state for optimization in early stages.

Artificial Intelligence and Its Potential as an Aid to Vocational Training and Education.

ERIC Educational Resources Information Center

Aleksander, I.; And Others

This document contains a series of papers which attempt to de-mystify the subject of artificial intelligence and to show how some countries in the European Community (EC) are approaching the promotion of development and application of artificial intelligence systems that can be used as an aid in vocational training programs, as well as to…

Framework for Intelligent Teaching and Training Systems -- A Study of Systems

ERIC Educational Resources Information Center

Graf von Malotky, Nikolaj Troels; Martens, Alke

2016-01-01

Intelligent Tutoring System are state of the art in eLearning since the late 1980s. The earliest system have been developed in teams of psychologists and computer scientists, with the goal to investigate learning processes and, later on with the goal to intelligently support teaching and training with computers. Over the years, the eLearning hype…

The effect of deliberate play on tactical performance in basketball.

PubMed

Greco, Pablo; Memmert, Daniel; Morales, Juan C P

2010-06-01

This field-based study analyzed effects of a deliberate-play training program in basketball on tactical game intelligence and tactical creativity. 22 youth basketball players, ages 10 to 12 years, completed basketball training in one of two equal-sized groups. The deliberate-play training program contained unstructured game forms in basketball. The placebo group played in traditional structured basketball game forms. Tactical intelligence and creativity was assessed before and after an 18-lesson intervention. Analysis showed significant training improvement only for the deliberate-play group. In addition, this outperformance of the placebo group was not only observed for tactical creativity but also for tactical intelligence.

Improving fluid intelligence with training on working memory.

PubMed

Jaeggi, Susanne M; Buschkuehl, Martin; Jonides, John; Perrig, Walter J

2008-05-13

Fluid intelligence (Gf) refers to the ability to reason and to solve new problems independently of previously acquired knowledge. Gf is critical for a wide variety of cognitive tasks, and it is considered one of the most important factors in learning. Moreover, Gf is closely related to professional and educational success, especially in complex and demanding environments. Although performance on tests of Gf can be improved through direct practice on the tests themselves, there is no evidence that training on any other regimen yields increased Gf in adults. Furthermore, there is a long history of research into cognitive training showing that, although performance on trained tasks can increase dramatically, transfer of this learning to other tasks remains poor. Here, we present evidence for transfer from training on a demanding working memory task to measures of Gf. This transfer results even though the trained task is entirely different from the intelligence test itself. Furthermore, we demonstrate that the extent of gain in intelligence critically depends on the amount of training: the more training, the more improvement in Gf. That is, the training effect is dosage-dependent. Thus, in contrast to many previous studies, we conclude that it is possible to improve Gf without practicing the testing tasks themselves, opening a wide range of applications.

Improving fluid intelligence with training on working memory

PubMed Central

Jaeggi, Susanne M.; Buschkuehl, Martin; Jonides, John; Perrig, Walter J.

2008-01-01

Fluid intelligence (Gf) refers to the ability to reason and to solve new problems independently of previously acquired knowledge. Gf is critical for a wide variety of cognitive tasks, and it is considered one of the most important factors in learning. Moreover, Gf is closely related to professional and educational success, especially in complex and demanding environments. Although performance on tests of Gf can be improved through direct practice on the tests themselves, there is no evidence that training on any other regimen yields increased Gf in adults. Furthermore, there is a long history of research into cognitive training showing that, although performance on trained tasks can increase dramatically, transfer of this learning to other tasks remains poor. Here, we present evidence for transfer from training on a demanding working memory task to measures of Gf. This transfer results even though the trained task is entirely different from the intelligence test itself. Furthermore, we demonstrate that the extent of gain in intelligence critically depends on the amount of training: the more training, the more improvement in Gf. That is, the training effect is dosage-dependent. Thus, in contrast to many previous studies, we conclude that it is possible to improve Gf without practicing the testing tasks themselves, opening a wide range of applications. PMID:18443283

Word Processor Training on Intelligent Videodisc.

ERIC Educational Resources Information Center

Yampolsky, Michael

1983-01-01

Presents an overview of the Wang Word Processing Intelligent Learning Program on interactive videodisc, which is used at Eastman Kodak to train hundreds of word processing operators. Operation of the program is discussed in detail. (MBR)

An intelligent tutoring system for the investigation of high performance skill acquisition

NASA Technical Reports Server (NTRS)

Fink, Pamela K.; Herren, L. Tandy; Regian, J. Wesley

1991-01-01

The issue of training high performance skills is of increasing concern. These skills include tasks such as driving a car, playing the piano, and flying an aircraft. Traditionally, the training of high performance skills has been accomplished through the use of expensive, high-fidelity, 3-D simulators, and/or on-the-job training using the actual equipment. Such an approach to training is quite expensive. The design, implementation, and deployment of an intelligent tutoring system developed for the purpose of studying the effectiveness of skill acquisition using lower-cost, lower-physical-fidelity, 2-D simulation. Preliminary experimental results are quite encouraging, indicating that intelligent tutoring systems are a cost-effective means of training high performance skills.

Training Strategies for the Twenty-First Century: Using Recent Research on Learning To Enhance Training.

ERIC Educational Resources Information Center

Dwyer, Brian M.

2002-01-01

Discusses a new training model that takes into account the diversity of learners and the emotional, physical and social environmental conditions essential for lifelong learning. Considers how the brain learns and functions, brain-based learning, multiple intelligence, and emotional intelligence as well as personal reflection. (LRW)

Competitive Intelligence.

ERIC Educational Resources Information Center

Bergeron, Pierrette; Hiller, Christine A.

2002-01-01

Reviews the evolution of competitive intelligence since 1994, including terminology and definitions and analytical techniques. Addresses the issue of ethics; explores how information technology supports the competitive intelligence process; and discusses education and training opportunities for competitive intelligence, including core competencies…

What Artificial Intelligence Is Doing for Training.

ERIC Educational Resources Information Center

Kirrane, Peter R.; Kirrane, Diane E.

1989-01-01

Discusses the three areas of research and application of artificial intelligence: (1) robotics, (2) natural language processing, and (3) knowledge-based or expert systems. Focuses on what expert systems can do, especially in the area of training. (JOW)

General purpose architecture for intelligent computer-aided training

NASA Technical Reports Server (NTRS)

Loftin, R. Bowen (Inventor); Wang, Lui (Inventor); Baffes, Paul T. (Inventor); Hua, Grace C. (Inventor)

1994-01-01

An intelligent computer-aided training system having a general modular architecture is provided for use in a wide variety of training tasks and environments. It is comprised of a user interface which permits the trainee to access the same information available in the task environment and serves as a means for the trainee to assert actions to the system; a domain expert which is sufficiently intelligent to use the same information available to the trainee and carry out the task assigned to the trainee; a training session manager for examining the assertions made by the domain expert and by the trainee for evaluating such trainee assertions and providing guidance to the trainee which are appropriate to his acquired skill level; a trainee model which contains a history of the trainee interactions with the system together with summary evaluative data; an intelligent training scenario generator for designing increasingly complex training exercises based on the current skill level contained in the trainee model and on any weaknesses or deficiencies that the trainee has exhibited in previous interactions; and a blackboard that provides a common fact base for communication between the other components of the system. Preferably, the domain expert contains a list of 'mal-rules' which typifies errors that are usually made by novice trainees. Also preferably, the training session manager comprises an intelligent error detection means and an intelligent error handling means. The present invention utilizes a rule-based language having a control structure whereby a specific message passing protocol is utilized with respect to tasks which are procedural or step-by-step in structure. The rules can be activated by the trainee in any order to reach the solution by any valid or correct path.

A general-purpose development environment for intelligent computer-aided training systems

NASA Technical Reports Server (NTRS)

Savely, Robert T.

1990-01-01

Space station training will be a major task, requiring the creation of large numbers of simulation-based training systems for crew, flight controllers, and ground-based support personnel. Given the long duration of space station missions and the large number of activities supported by the space station, the extension of space shuttle training methods to space station training may prove to be impractical. The application of artificial intelligence technology to simulation training can provide the ability to deliver individualized training to large numbers of personnel in a distributed workstation environment. The principal objective of this project is the creation of a software development environment which can be used to build intelligent training systems for procedural tasks associated with the operation of the space station. Current NASA Johnson Space Center projects and joint projects with other NASA operational centers will result in specific training systems for existing space shuttle crew, ground support personnel, and flight controller tasks. Concurrently with the creation of these systems, a general-purpose development environment for intelligent computer-aided training systems will be built. Such an environment would permit the rapid production, delivery, and evolution of training systems for space station crew, flight controllers, and other support personnel. The widespread use of such systems will serve to preserve task and training expertise, support the training of many personnel in a distributed manner, and ensure the uniformity and verifiability of training experiences. As a result, significant reductions in training costs can be realized while safety and the probability of mission success can be enhanced.

An intelligent training system for space shuttle flight controllers

NASA Technical Reports Server (NTRS)

Loftin, R. Bowen; Wang, Lui; Baffes, Paul; Hua, Grace

1988-01-01

An autonomous intelligent training system which integrates expert system technology with training/teaching methodologies is described. The system was designed to train Mission Control Center (MCC) Flight Dynamics Officers (FDOs) to deploy a certain type of satellite from the Space Shuttle. The Payload-assist module Deploys/Intelligent Computer-Aided Training (PD/ICAT) system consists of five components: a user interface, a domain expert, a training session manager, a trainee model, and a training scenario generator. The interface provides the trainee with information of the characteristics of the current training session and with on-line help. The domain expert (DeplEx for Deploy Expert) contains the rules and procedural knowledge needed by the FDO to carry out the satellite deploy. The DeplEx also contains mal-rules which permit the identification and diagnosis of common errors made by the trainee. The training session manager (TSM) examines the actions of the trainee and compares them with the actions of DeplEx in order to determine appropriate responses. A trainee model is developed for each individual using the system. The model includes a history of the trainee's interactions with the training system and provides evaluative data on the trainee's current skill level. A training scenario generator (TSG) designs appropriate training exercises for each trainee based on the trainee model and the training goals. All of the expert system components of PD/ICAT communicate via a common blackboard. The PD/ICAT is currently being tested. Ultimately, this project will serve as a vehicle for developing a general architecture for intelligent training systems together with a software environment for creating such systems.

An intelligent training system for space shuttle flight controllers

NASA Technical Reports Server (NTRS)

Loftin, R. Bowen; Wang, Lui; Baffles, Paul; Hua, Grace

1988-01-01

An autonomous intelligent training system which integrates expert system technology with training/teaching methodologies is described. The system was designed to train Mission Control Center (MCC) Flight Dynamics Officers (FDOs) to deploy a certain type of satellite from the Space Shuttle. The Payload-assist module Deploys/Intelligent Computer-Aided Training (PD/ICAT) system consists of five components: a user interface, a domain expert, a training session manager, a trainee model, and a training scenario generator. The interface provides the trainee with information of the characteristics of the current training session and with on-line help. The domain expert (Dep1Ex for Deploy Expert) contains the rules and procedural knowledge needed by the FDO to carry out the satellite deploy. The Dep1Ex also contains mal-rules which permit the identification and diagnosis of common errors made by the trainee. The training session manager (TSM) examines the actions of the trainee and compares them with the actions of Dep1Ex in order to determine appropriate responses. A trainee model is developed for each individual using the system. The model includes a history of the trainee's interactions with the training system and provides evaluative data on the trainee's current skill level. A training scenario generator (TSG) designs appropriate training exercises for each trainee based on the trainee model and the training goals. All of the expert system components of PD/ICAT communicate via a common blackboard. The PD/ICAT is currently being tested. Ultimately, this project will serve as a vehicle for developing a general architecture for intelligent training systems together with a software environment for creating such systems.

Developing an Emotional Intelligence Program Training and Study Its Effectiveness on Emotional Intelligence of Adolescents with Emotional and Behavioral Problems That Living in Single Parent Families

ERIC Educational Resources Information Center

Motamedi, Farzaneh; Ghobari-Bonab, Bagher; Beh-pajooh, Ahmad; Yekta, Mohsen Shokoohi; Afrooz, Gholam Ali

2017-01-01

Development of children and adolescents' personality is strongly affected by their parents, and absence of one of them has an undesirable effect on their development, and makes them vulnerable to later psychological disorders and behavioral problems. The purpose of this study was to develop an emotional intelligence training program and to…

Effects of cross-language voice training on speech perception: Whose familiar voices are more intelligible?

PubMed Central

Levi, Susannah V.; Winters, Stephen J.; Pisoni, David B.

2011-01-01

Previous research has shown that familiarity with a talker’s voice can improve linguistic processing (herein, “Familiar Talker Advantage”), but this benefit is constrained by the context in which the talker’s voice is familiar. The current study examined how familiarity affects intelligibility by manipulating the type of talker information available to listeners. One group of listeners learned to identify bilingual talkers’ voices from English words, where they learned language-specific talker information. A second group of listeners learned the same talkers from German words, and thus only learned language-independent talker information. After voice training, both groups of listeners completed a word recognition task with English words produced by both familiar and unfamiliar talkers. Results revealed that English-trained listeners perceived more phonemes correct for familiar than unfamiliar talkers, while German-trained listeners did not show improved intelligibility for familiar talkers. The absence of a processing advantage in speech intelligibility for the German-trained listeners demonstrates limitations on the Familiar Talker Advantage, which crucially depends on the language context in which the talkers’ voices were learned; knowledge of how a talker produces linguistically relevant contrasts in a particular language is necessary to increase speech intelligibility for words produced by familiar talkers. PMID:22225059

Text Classification for Intelligent Portfolio Management

DTIC Science & Technology

2002-05-01

years including nearest neighbor classification [15], naive Bayes with EM (Ex- pectation Maximization) [11] [13], Winnow with active learning [10... Active Learning and Expectation Maximization (EM). In particular, active learning is used to actively select documents for labeling, then EM assigns...generalization with active learning . Machine Learning, 15(2):201–221, 1994. [3] I. Dagan and P. Engelson. Committee-based sampling for training

Role of test motivation in intelligence testing.

PubMed

Duckworth, Angela Lee; Quinn, Patrick D; Lynam, Donald R; Loeber, Rolf; Stouthamer-Loeber, Magda

2011-05-10

Intelligence tests are widely assumed to measure maximal intellectual performance, and predictive associations between intelligence quotient (IQ) scores and later-life outcomes are typically interpreted as unbiased estimates of the effect of intellectual ability on academic, professional, and social life outcomes. The current investigation critically examines these assumptions and finds evidence against both. First, we examined whether motivation is less than maximal on intelligence tests administered in the context of low-stakes research situations. Specifically, we completed a meta-analysis of random-assignment experiments testing the effects of material incentives on intelligence-test performance on a collective 2,008 participants. Incentives increased IQ scores by an average of 0.64 SD, with larger effects for individuals with lower baseline IQ scores. Second, we tested whether individual differences in motivation during IQ testing can spuriously inflate the predictive validity of intelligence for life outcomes. Trained observers rated test motivation among 251 adolescent boys completing intelligence tests using a 15-min "thin-slice" video sample. IQ score predicted life outcomes, including academic performance in adolescence and criminal convictions, employment, and years of education in early adulthood. After adjusting for the influence of test motivation, however, the predictive validity of intelligence for life outcomes was significantly diminished, particularly for nonacademic outcomes. Collectively, our findings suggest that, under low-stakes research conditions, some individuals try harder than others, and, in this context, test motivation can act as a third-variable confound that inflates estimates of the predictive validity of intelligence for life outcomes.

Role of test motivation in intelligence testing

PubMed Central

Duckworth, Angela Lee; Quinn, Patrick D.; Lynam, Donald R.; Loeber, Rolf; Stouthamer-Loeber, Magda

2011-01-01

Intelligence tests are widely assumed to measure maximal intellectual performance, and predictive associations between intelligence quotient (IQ) scores and later-life outcomes are typically interpreted as unbiased estimates of the effect of intellectual ability on academic, professional, and social life outcomes. The current investigation critically examines these assumptions and finds evidence against both. First, we examined whether motivation is less than maximal on intelligence tests administered in the context of low-stakes research situations. Specifically, we completed a meta-analysis of random-assignment experiments testing the effects of material incentives on intelligence-test performance on a collective 2,008 participants. Incentives increased IQ scores by an average of 0.64 SD, with larger effects for individuals with lower baseline IQ scores. Second, we tested whether individual differences in motivation during IQ testing can spuriously inflate the predictive validity of intelligence for life outcomes. Trained observers rated test motivation among 251 adolescent boys completing intelligence tests using a 15-min “thin-slice” video sample. IQ score predicted life outcomes, including academic performance in adolescence and criminal convictions, employment, and years of education in early adulthood. After adjusting for the influence of test motivation, however, the predictive validity of intelligence for life outcomes was significantly diminished, particularly for nonacademic outcomes. Collectively, our findings suggest that, under low-stakes research conditions, some individuals try harder than others, and, in this context, test motivation can act as a third-variable confound that inflates estimates of the predictive validity of intelligence for life outcomes. PMID:21518867

INTERIOR OF TARGET INTELLIGENCE ROOM. view TO WEST. Plattsburgh ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

INTERIOR OF TARGET INTELLIGENCE ROOM. view TO WEST. - Plattsburgh Air Force Base, Target Intelligence Training Building-Combat Center, Off Connecticut Road, east of Idaho Avenue, Plattsburgh, Clinton County, NY

Defense Intelligence: Foreign Area/Language Needs and Academe.

ERIC Educational Resources Information Center

SRI International, Menlo Park, CA.

The Department of Defense's (DOD) need for foreign language/area expertise was assessed, along with opportunities for the academic community to supplement government training. In addition to interviewing intelligence managers, questionnaires were administered to defense analysts to determine their background, training, and use of external…

Can Intelligence Be Taught? Fastback 29.

ERIC Educational Resources Information Center

Sexton, Thomas G.; Poling, Donald R.

This booklet cites evidence indicating that intelligence can be trained, given a physiologically normal student and an intensely persistant tutor. Methodologies for increasing mental efficiency have in common the principle of coordination of physical and mental processes, whether achieved by simple relaxation training, brain polarization, or…

The use of emotional intelligence capabilities in clinical reasoning and decision-making: A qualitative, exploratory study.

PubMed

Hutchinson, Marie; Hurley, John; Kozlowski, Desirée; Whitehair, Leeann

2018-02-01

To explore clinical nurses' experiences of using emotional intelligence capabilities during clinical reasoning and decision-making. There has been little research exploring whether, or how, nurses employ emotional intelligence (EI) in clinical reasoning and decision-making. Qualitative phase of a larger mixed-methods study. Semistructured qualitative interviews with a purposive sample of registered nurses (n = 12) following EI training and coaching. Constructivist thematic analysis was employed to analyse the narrative transcripts. Three themes emerged: the sensibility to engage EI capabilities in clinical contexts, motivation to actively engage with emotions in clinical decision-making and incorporating emotional and technical perspectives in decision-making. Continuing to separate cognition and emotion in research, theorising and scholarship on clinical reasoning is counterproductive. Understanding more about nurses' use of EI has the potential to improve the calibre of decisions, and the safety and quality of care delivered. © 2017 John Wiley & Sons Ltd.

Intelligent Virtual Station (IVS)

NASA Technical Reports Server (NTRS)

2002-01-01

The Intelligent Virtual Station (IVS) is enabling the integration of design, training, and operations capabilities into an intelligent virtual station for the International Space Station (ISS). A viewgraph of the IVS Remote Server is presented.

Work-family conflict and job satisfaction: emotional intelligence as a moderator.

PubMed

Gao, Yongdong; Shi, Junqi; Niu, Qikun; Wang, Lei

2013-08-01

The negative impact of work-family conflict (WFC) on employees' well-being and job-related outcomes has attracted much research attention recently. A major gap in the literature is which factors could potentially buffer its negative effect on employees. The present study examined the moderating effect of emotional intelligence on the relationship between WFC and job satisfaction in a sample of 212 Chinese high school teachers. On the basis of conservation of resource theory, we hypothesized that emotional intelligence would weaken the negative effect of family-to-work and work-to-family interference on job satisfaction. Results suggested that WFC (work-to-family interference and family-to-work interference) was negatively related to job satisfaction and that emotional intelligence weakened the effect of WFC on job satisfaction. These findings provide implications for theories on WFC and emotional intelligence, such as conservation of resource theory. The current study also provides a test of these theories in Chinese culture to support the generalizability of theories developed in previous research. Practical implications for reducing the negative influence of WFC on employees' job satisfaction are also provided, such as the potential value of emotional intelligence for the training and development of employees in teaching professions. Copyright © 2012 John Wiley & Sons, Ltd.

Using Intelligent Simulation to Enhance Human Performance in Aircraft Maintenance

NASA Technical Reports Server (NTRS)

Johnson, William B.; Norton, Jeffrey E.

1992-01-01

Human factors research and development investigates the capabilities and limitations of the human within a system. Of the many variables affecting human performance in the aviation maintenance system, training is among the most important. The advent of advanced technology hardware and software has created intelligent training simulations. This paper describes one advanced technology training system under development for the Federal Aviation Administration.

Effects of Emotional Intelligence and Locus of Control Training on the Psychological Well-Being of Adolescents with Visual Impairments in Nigeria

ERIC Educational Resources Information Center

Eniola, M. S.; Ajobiewe, Abthonia Ifeoma

2013-01-01

This current study, investigated the relative effectiveness of Emotional Intelligence Training (EIT) and Locus of Control Training (LCT) on the psychological well-being of adolescent with visual impairment. The pretest-posttest control group experimental design with a 3x2x2 factorial matrix was used. The participants were 120 adolescents with…

Dual N-Back Working Memory Training in Healthy Adults: A Randomized Comparison to Processing Speed Training

PubMed Central

Lawlor-Savage, Linette; Goghari, Vina M.

2016-01-01

Enhancing cognitive ability is an attractive concept, particularly for middle-aged adults interested in maintaining cognitive functioning and preventing age-related declines. Computerized working memory training has been investigated as a safe method of cognitive enhancement in younger and older adults, although few studies have considered the potential impact of working memory training on middle-aged adults. This study investigated dual n-back working memory training in healthy adults aged 30–60. Fifty-seven adults completed measures of working memory, processing speed, and fluid intelligence before and after a 5-week web-based dual n-back or active control (processing speed) training program. Results: Repeated measures multivariate analysis of variance failed to identify improvements across the three cognitive composites, working memory, processing speed, and fluid intelligence, after training. Follow-up Bayesian analyses supported null findings for training effects for each individual composite. Findings suggest that dual n-back working memory training may not benefit working memory or fluid intelligence in healthy adults. Further investigation is necessary to clarify if other forms of working memory training may be beneficial, and what factors impact training-related benefits, should they occur, in this population. PMID:27043141

DETAIL OF DOORWAY INTO COMBAT INTELLIGENCE ROOM. view TO WEST. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

DETAIL OF DOORWAY INTO COMBAT INTELLIGENCE ROOM. view TO WEST. - Plattsburgh Air Force Base, Target Intelligence Training Building-Combat Center, Off Connecticut Road, east of Idaho Avenue, Plattsburgh, Clinton County, NY

Intelligent tutoring systems research in the training systems division: Space applications

NASA Technical Reports Server (NTRS)

Regian, J. Wesley

1988-01-01

Computer-Aided Instruction (CAI) is a mature technology used to teach students in a wide variety of domains. The introduction of Artificial Intelligence (AI) technology of the field of CAI has prompted research and development efforts in an area known as Intelligent Computer-Aided Instruction (ICAI). In some cases, ICAI has been touted as a revolutionary alternative to traditional CAI. With the advent of powerful, inexpensive school computers, ICAI is emerging as a potential rival to CAI. In contrast to this, one may conceive of Computer-Based Training (CBT) systems as lying along a continuum which runs from CAI to ICAI. Although the key difference between the two is intelligence, there is not commonly accepted definition of what constitutes an intelligent instructional system.

Role of Emotional Intelligence in Conflict Management Strategies of Nurses.

PubMed

Başoğul, Ceyda; Özgür, Gönül

2016-09-01

This study analyzes the emotional intelligence levels and conflict management strategies of nurses and the association between them. This cross-sectional, descriptive study was conducted with 277 nurses in a stratified random sample from a university hospital in Turkey. The data were collected from nurses who gave their informed consent to participate using a personal information form, the Rahim Organizational Conflict Inventory-II and Bar-On's Emotional Quotient Inventory (EQ-I). Data were assessed by descriptive statistics, t tests, and Pearson correlation analyses, using SPSS software. The levels of the nurses' strategies were as follows: avoiding (M = 2.98), dominating (M = 2.76), and obliging (M = 2.71) were medium; compromising (M = 1.99) and integration (M = 1.96) were low. The levels of the emotional intelligence of nurses (mean = 2.75) were medium on a 5-point scale. Integration (r = .168), obliging (r = .25), dominating (r = .18), and compromising (r = .33), which are conflict management strategies, were positively correlated with scores of emotional intelligence, and avoiding (r = -.25) was negatively correlated with scores of emotional intelligence (p < .05). The study determined that nurses' emotional intelligence affects conflict management strategies. To use effective strategies in conflict management, nurses must develop emotional intelligence. Training programs on conflict management and emotional intelligence are needed to improve effective conflict management in healthcare facilities. Copyright © 2016. Published by Elsevier B.V.

Intelligent Computerized Training System

NASA Technical Reports Server (NTRS)

Wang, Lui; Baffes, Paul; Loftin, R. Bowen; Hua, Grace C.

1991-01-01

Intelligent computer-aided training system gives trainees same experience gained from best on-the-job training. Automated system designed to emulate behavior of experienced teacher devoting full time and attention to training novice. Proposes challenging training scenarios, monitors and evaluates trainee's actions, makes meaningful comments in response to errors, reponds to requests for information, gives hints when appropriate, and remembers strengths and weaknesses so it designs suitable exercises. Used to train flight-dynamics officers in deploying satellites from Space Shuttle. Adapted to training for variety of tasks and situations, simply by modifying one or at most two of its five modules. Helps to ensure continuous supply of trained specialists despite scarcity of experienced and skilled human trainers.

Learning Emotional Intelligence: Training & Assessment

ERIC Educational Resources Information Center

Shults, Allison

2015-01-01

This core assessment provides an overview and training of the use of Emotional Intelligence (EI) in the workplace. It includes a needs analysis for a local Chamber of Commerce, and outlines the importance of improving their organizational communication with the improvement of their EI. Behavioral objectives related to the skills needed are…

Deploying swarm intelligence in medical imaging identifying metastasis, micro-calcifications and brain image segmentation.

PubMed

al-Rifaie, Mohammad Majid; Aber, Ahmed; Hemanth, Duraiswamy Jude

2015-12-01

This study proposes an umbrella deployment of swarm intelligence algorithm, such as stochastic diffusion search for medical imaging applications. After summarising the results of some previous works which shows how the algorithm assists in the identification of metastasis in bone scans and microcalcifications on mammographs, for the first time, the use of the algorithm in assessing the CT images of the aorta is demonstrated along with its performance in detecting the nasogastric tube in chest X-ray. The swarm intelligence algorithm presented in this study is adapted to address these particular tasks and its functionality is investigated by running the swarms on sample CT images and X-rays whose status have been determined by senior radiologists. In addition, a hybrid swarm intelligence-learning vector quantisation (LVQ) approach is proposed in the context of magnetic resonance (MR) brain image segmentation. The particle swarm optimisation is used to train the LVQ which eliminates the iteration-dependent nature of LVQ. The proposed methodology is used to detect the tumour regions in the abnormal MR brain images.

“Chickens Are a Lot Smarter than I Originally Thought”: Changes in Student Attitudes to Chickens Following a Chicken Training Class

PubMed Central

Hazel, Susan J.; O’Dwyer, Lisel; Ryan, Terry

2015-01-01

Simple Summary Our attitudes to animals are linked to our beliefs about their cognitive abilities, such as intelligence and capacity to experience emotional states. In this study, undergraduate students were surveyed on their attitudes to chickens pre- and post- a practical class in which they learnt to clicker train chickens. Students were more likely to agree that chickens are intelligent and easy to teach tricks to, and that chickens feel emotions such as boredom, frustration and happiness, following the practical class. Similar workshops may be an effective method to improve animal training skills, and promote more positive attitudes to specific animal species. Abstract A practical class using clicker training of chickens to apply knowledge of how animals learn and practice skills in animal training was added to an undergraduate course. Since attitudes to animals are related to their perceived intelligence, surveys of student attitudes were completed pre- and post- the practical class, to determine if (1) the practical class changed students’ attitudes to chickens and their ability to experience affective states, and (2) any changes were related to previous contact with chickens, training experience or gender. In the post- versus pre-surveys, students agreed more that chickens are easy to teach tricks to, are intelligent, and have individual personalities and disagreed more that they are difficult to train and are slow learners. Following the class, they were more likely to believe chickens experience boredom, frustration and happiness. Females rated the intelligence and ability to experience affective states in chickens more highly than males, although there were shifts in attitude in both genders. This study demonstrated shifts in attitudes following a practical class teaching clicker training in chickens. Similar practical classes may provide an effective method of teaching animal training skills and promoting more positive attitudes to animals. PMID:26479388

Do We Really Become Smarter When Our Fluid-Intelligence Test Scores Improve?

PubMed

Hayes, Taylor R; Petrov, Alexander A; Sederberg, Per B

2015-01-01

Recent reports of training-induced gains on fluid intelligence tests have fueled an explosion of interest in cognitive training-now a billion-dollar industry. The interpretation of these results is questionable because score gains can be dominated by factors that play marginal roles in the scores themselves, and because intelligence gain is not the only possible explanation for the observed control-adjusted far transfer across tasks. Here we present novel evidence that the test score gains used to measure the efficacy of cognitive training may reflect strategy refinement instead of intelligence gains. A novel scanpath analysis of eye movement data from 35 participants solving Raven's Advanced Progressive Matrices on two separate sessions indicated that one-third of the variance of score gains could be attributed to test-taking strategy alone, as revealed by characteristic changes in eye-fixation patterns. When the strategic contaminant was partialled out, the residual score gains were no longer significant. These results are compatible with established theories of skill acquisition suggesting that procedural knowledge tacitly acquired during training can later be utilized at posttest. Our novel method and result both underline a reason to be wary of purported intelligence gains, but also provide a way forward for testing for them in the future.

[Control of intelligent car based on electroencephalogram and neurofeedback].

PubMed

Li, Song; Xiong, Xin; Fu, Yunfa

2018-02-01

To improve the performance of brain-controlled intelligent car based on motor imagery (MI), a method based on neurofeedback (NF) with electroencephalogram (EEG) for controlling intelligent car is proposed. A mental strategy of MI in which the energy column diagram of EEG features related to the mental activity is presented to subjects with visual feedback in real time to train them to quickly master the skills of MI and regulate their EEG activity, and combination of multi-features fusion of MI and multi-classifiers decision were used to control the intelligent car online. The average, maximum and minimum accuracy of identifying instructions achieved by the trained group (trained by the designed feedback system before the experiment) were 85.71%, 90.47% and 76.19%, respectively and the corresponding accuracy achieved by the control group (untrained) were 73.32%, 80.95% and 66.67%, respectively. For the trained group, the average, longest and shortest time consuming were 92 s, 101 s, and 85 s, respectively, while for the control group the corresponding time were 115.7 s, 120 s, and 110 s, respectively. According to the results described above, it is expected that this study may provide a new idea for the follow-up development of brain-controlled intelligent robot by the neurofeedback with EEG related to MI.

A general architecture for intelligent training systems

NASA Technical Reports Server (NTRS)

Loftin, R. Bowen

1987-01-01

A preliminary design of a general architecture for autonomous intelligent training systems was developed. The architecture integrates expert system technology with teaching/training methodologies to permit the production of systems suitable for use by NASA, other government agencies, industry, and academia in the training of personnel for the performance of complex, mission-critical tasks. The proposed architecture consists of five elements: a user interface, a domain expert, a training session manager, a trainee model, and a training scenario generator. The design of this architecture was guided and its efficacy tested through the development of a system for use by Mission Control Center Flight Dynamics Officers in training to perform Payload-Assist Module Deploys from the orbiter.

Automatic detection of mycobacterium tuberculosis using artificial intelligence

PubMed Central

Xiong, Yan; Ba, Xiaojun; Hou, Ao; Zhang, Kaiwen; Chen, Longsen

2018-01-01

Background Tuberculosis (TB) is a global issue that seriously endangers public health. Pathology is one of the most important means for diagnosing TB in clinical practice. To confirm TB as the diagnosis, finding specially stained TB bacilli under a microscope is critical. Because of the very small size and number of bacilli, it is a time-consuming and strenuous work even for experienced pathologists, and this strenuosity often leads to low detection rate and false diagnoses. We investigated the clinical efficacy of an artificial intelligence (AI)-assisted detection method for acid-fast stained TB bacillus. Methods We built a convolutional neural networks (CNN) model, named tuberculosis AI (TB-AI), specifically to recognize TB bacillus. The training set contains 45 samples, including 30 positive cases and 15 negative cases, where bacilli are labeled by human pathologists. Upon training the neural network model, 201 samples (108 positive cases and 93 negative cases) were collected as test set and used to examine TB-AI. We compared the diagnosis of TB-AI to the ground truth result provided by human pathologists, analyzed inconsistencies between AI and human, and adjusted the protocol accordingly. Trained TB-AI were run on the test data twice. Results Examined against the double confirmed diagnosis by pathologists both via microscopes and digital slides, TB-AI achieved 97.94% sensitivity and 83.65% specificity. Conclusions TB-AI can be a promising support system to detect stained TB bacilli and help make clinical decisions. It holds the potential to relieve the heavy workload of pathologists and decrease chances of missed diagnosis. Samples labeled as positive by TB-AI must be confirmed by pathologists, and those labeled as negative should be reviewed to make sure that the digital slides are qualified. PMID:29707349

Automatic detection of mycobacterium tuberculosis using artificial intelligence.

PubMed

Xiong, Yan; Ba, Xiaojun; Hou, Ao; Zhang, Kaiwen; Chen, Longsen; Li, Ting

2018-03-01

Tuberculosis (TB) is a global issue that seriously endangers public health. Pathology is one of the most important means for diagnosing TB in clinical practice. To confirm TB as the diagnosis, finding specially stained TB bacilli under a microscope is critical. Because of the very small size and number of bacilli, it is a time-consuming and strenuous work even for experienced pathologists, and this strenuosity often leads to low detection rate and false diagnoses. We investigated the clinical efficacy of an artificial intelligence (AI)-assisted detection method for acid-fast stained TB bacillus. We built a convolutional neural networks (CNN) model, named tuberculosis AI (TB-AI), specifically to recognize TB bacillus. The training set contains 45 samples, including 30 positive cases and 15 negative cases, where bacilli are labeled by human pathologists. Upon training the neural network model, 201 samples (108 positive cases and 93 negative cases) were collected as test set and used to examine TB-AI. We compared the diagnosis of TB-AI to the ground truth result provided by human pathologists, analyzed inconsistencies between AI and human, and adjusted the protocol accordingly. Trained TB-AI were run on the test data twice. Examined against the double confirmed diagnosis by pathologists both via microscopes and digital slides, TB-AI achieved 97.94% sensitivity and 83.65% specificity. TB-AI can be a promising support system to detect stained TB bacilli and help make clinical decisions. It holds the potential to relieve the heavy workload of pathologists and decrease chances of missed diagnosis. Samples labeled as positive by TB-AI must be confirmed by pathologists, and those labeled as negative should be reviewed to make sure that the digital slides are qualified.

AI in Computer-Based Training

ERIC Educational Resources Information Center

Camstra, Bert

2008-01-01

In this paper, intelligent approaches to CBT are put into several perspectives in an attempt to elucidate the concepts and give them a more realistic (and not only glamorous) footing. The role of expert systems in training is explored and possible routes towards intelligent CBT are outlined. [This paper was first published in "Interactive Learning…

Small Knowledge-Based Systems in Education and Training: Something New Under the Sun.

ERIC Educational Resources Information Center

Wilson, Brent G.; Welsh, Jack R.

1986-01-01

Discusses artificial intelligence, robotics, natural language processing, and expert or knowledge-based systems research; examines two large expert systems, MYCIN and XCON; and reviews the resources required to build large expert systems and affordable smaller systems (intelligent job aids) for training. Expert system vendors and products are…

Using Appreciative Intelligence for Ice-Breaking: A New Design

ERIC Educational Resources Information Center

Verma, Neena; Pathak, Anil Anand

2011-01-01

Purpose: The purpose of this paper is to highlight the importance of applying appreciative intelligence and appreciative inquiry concepts to design a possibly new model of ice-breaking, which is strengths-based and very often used in any training in general and team building training in particular. Design/methodology/approach: The design has…

Previous International Experience, Cross-Cultural Training, and Expatriates' Cross-Cultural Adjustment: Effects of Cultural Intelligence and Goal Orientation

ERIC Educational Resources Information Center

Koo Moon, Hyoung; Kwon Choi, Byoung; Shik Jung, Jae

2012-01-01

Although various antecedents of expatriates' cross-cultural adjustment have been addressed, previous international experience, predeparture cross-cultural training, and cultural intelligence (CQ) have been most frequently examined. However, there are few attempts that explore the effects of these antecedents simultaneously or consider the possible…

The Effectiveness of Staff Training Focused on Increasing Emotional Intelligence and Improving Interaction between Support Staff and Clients

ERIC Educational Resources Information Center

Zijlmans, L. J. M.; Embregts, P. J. C. M.; Gerits, L.; Bosman, A. M. T.; Derksen, J. J. L.

2015-01-01

Background: Recent research addressed the relationship between staff behaviour and challenging behaviour of individuals with an intellectual disability (ID). Consequently, research on interventions aimed at staff is warranted. The present study focused on the effectiveness of a staff training aimed at emotional intelligence and interactions…

The relationship between emotional intelligence, previous caring experience and mindfulness in student nurses and midwives: a cross sectional analysis.

PubMed

Snowden, Austyn; Stenhouse, Rosie; Young, Jenny; Carver, Hannah; Carver, Fiona; Brown, Norrie

2015-01-01

Emotional Intelligence (EI), previous caring experience and mindfulness training may have a positive impact on nurse education. More evidence is needed to support the use of these variables in nurse recruitment and retention. To explore the relationship between EI, gender, age, programme of study, previous caring experience and mindfulness training. Cross sectional element of longitudinal study. 938year one nursing, midwifery and computing students at two Scottish Higher Education Institutes (HEIs) who entered their programme in September 2013. Participants completed a measure of 'trait' EI: Trait Emotional Intelligence Questionnaire Short Form (TEIQue-SF); and 'ability' EI: Schutte's et al. (1998) Emotional Intelligence Scale (SEIS). Demographics, previous caring experience and previous training in mindfulness were recorded. Relationships between variables were tested using non-parametric tests. Emotional intelligence increased with age on both measures of EI [TEIQ-SF H(5)=15.157 p=0.001; SEIS H(5)=11.388, p=0.044]. Females (n=786) scored higher than males (n=149) on both measures [TEIQ-SF, U=44,931, z=-4.509, p<.001; SEIS, U=44,744, z=-5.563, p<.001]. Nursing students scored higher that computing students [TEIQ-SF H(5)=46,496, p<.001; SEIS H(5)=33.309, p<0.001. There were no statistically significant differences in TEIQ-SF scores between those who had previous mindfulness training (n=50) and those who had not (n=857) [U=22,980, z=0.864, p = 0.388]. However, median SEIS was statistically significantly different according to mindfulness training [U=25,115.5, z=2.05, p=.039]. Neither measure demonstrated statistically significantly differences between those with (n=492) and without (n=479) previous caring experience, [TEIQ-SF, U=112, 102, z=0.938, p=.348; SEIS, U=115,194.5, z=1.863, p=0.063]. Previous caring experience was not associated with higher emotional intelligence. Mindfulness training was associated with higher 'ability' emotional intelligence. Implications for recruitment, retention and further research are explored. Copyright © 2014. Published by Elsevier Ltd.

MITT writer and MITT writer advanced development: Developing authoring and training systems for complex technical domains

NASA Technical Reports Server (NTRS)

Wiederholt, Bradley J.; Browning, Elica J.; Norton, Jeffrey E.; Johnson, William B.

1991-01-01

MITT Writer is a software system for developing computer based training for complex technical domains. A training system produced by MITT Writer allows a student to learn and practice troubleshooting and diagnostic skills. The MITT (Microcomputer Intelligence for Technical Training) architecture is a reasonable approach to simulation based diagnostic training. MITT delivers training on available computing equipment, delivers challenging training and simulation scenarios, and has economical development and maintenance costs. A 15 month effort was undertaken in which the MITT Writer system was developed. A workshop was also conducted to train instructors in how to use MITT Writer. Earlier versions were used to develop an Intelligent Tutoring System for troubleshooting the Minuteman Missile Message Processing System.

Neurological Basis and Potential Modification of Emotional Intelligence through Affective/Behavioral Training

DTIC Science & Technology

2014-12-01

December 2014 TYPE OF REPORT: Final PREPARED FOR: U.S. Army Medical Research and Material Command Fort Detrick, Maryland...9. SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S) U.S. Army Medical Research and Materiel Command...healthy adults (31 men), ranging in age from 18-50 years, were also queried about their practice of medication . The sample included 28 individuals who

Prediction of lithium response in first-episode mania using the LITHium Intelligent Agent (LITHIA): Pilot data and proof-of-concept.

PubMed

Fleck, David E; Ernest, Nicholas; Adler, Caleb M; Cohen, Kelly; Eliassen, James C; Norris, Matthew; Komoroski, Richard A; Chu, Wen-Jang; Welge, Jeffrey A; Blom, Thomas J; DelBello, Melissa P; Strakowski, Stephen M

2017-06-01

Individualized treatment for bipolar disorder based on neuroimaging treatment targets remains elusive. To address this shortcoming, we developed a linguistic machine learning system based on a cascading genetic fuzzy tree (GFT) design called the LITHium Intelligent Agent (LITHIA). Using multiple objectively defined functional magnetic resonance imaging (fMRI) and proton magnetic resonance spectroscopy ( 1 H-MRS) inputs, we tested whether LITHIA could accurately predict the lithium response in participants with first-episode bipolar mania. We identified 20 subjects with first-episode bipolar mania who received an adequate trial of lithium over 8 weeks and both fMRI and 1 H-MRS scans at baseline pre-treatment. We trained LITHIA using 18 1 H-MRS and 90 fMRI inputs over four training runs to classify treatment response and predict symptom reductions. Each training run contained a randomly selected 80% of the total sample and was followed by a 20% validation run. Over a different randomly selected distribution of the sample, we then compared LITHIA to eight common classification methods. LITHIA demonstrated nearly perfect classification accuracy and was able to predict post-treatment symptom reductions at 8 weeks with at least 88% accuracy in training and 80% accuracy in validation. Moreover, LITHIA exceeded the predictive capacity of the eight comparator methods and showed little tendency towards overfitting. The results provided proof-of-concept that a novel GFT is capable of providing control to a multidimensional bioinformatics problem-namely, prediction of the lithium response-in a pilot data set. Future work on this, and similar machine learning systems, could help assign psychiatric treatments more efficiently, thereby optimizing outcomes and limiting unnecessary treatment. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Theories of intelligence in children with reading disabilities: a training proposal.

PubMed

Pepi, Annamaria; Alesi, Marianna; Geraci, Maria

2004-12-01

A recent trend in the study of reading difficulties promotes multidimensional intervention, focusing on the reciprocal influences exerted by cognitive and emotional-motivational variables. This study evaluated improvements in reading performance as a function of metacognitive training in 36 children (M age = 8.7 yr.) with different representations of intelligence. Posttest evaluations show significantly more improvement in reading comprehension in children with an incremental theory of intelligence. These results indicate the importance of treatment programmes that take into account both the specificity of deficits and factors relating to the domain of motivation.

Weaving Emotional Intelligence into a Home Visiting Model

ERIC Educational Resources Information Center

Enson, Beth; Imberger, Jaci

2017-01-01

This article details the impact of Emotional Intelligence (EI) training on the 10-year evolution of the Taos First Steps Home Visiting program. While EI has become standard fare in corporate training and practice, it is less well known in the world of early childhood services. This article highlights interviews with key personnel, both in-house…

The association between intelligence and lifespan is mostly genetic.

PubMed

Arden, Rosalind; Luciano, Michelle; Deary, Ian J; Reynolds, Chandra A; Pedersen, Nancy L; Plassman, Brenda L; McGue, Matt; Christensen, Kaare; Visscher, Peter M

2016-02-01

Several studies in the new field of cognitive epidemiology have shown that higher intelligence predicts longer lifespan. This positive correlation might arise from socioeconomic status influencing both intelligence and health; intelligence leading to better health behaviours; and/or some shared genetic factors influencing both intelligence and health. Distinguishing among these hypotheses is crucial for medicine and public health, but can only be accomplished by studying a genetically informative sample. We analysed data from three genetically informative samples containing information on intelligence and mortality: Sample 1, 377 pairs of male veterans from the NAS-NRC US World War II Twin Registry; Sample 2, 246 pairs of twins from the Swedish Twin Registry; and Sample 3, 784 pairs of twins from the Danish Twin Registry. The age at which intelligence was measured differed between the samples. We used three methods of genetic analysis to examine the relationship between intelligence and lifespan: we calculated the proportion of the more intelligent twins who outlived their co-twin; we regressed within-twin-pair lifespan differences on within-twin-pair intelligence differences; and we used the resulting regression coefficients to model the additive genetic covariance. We conducted a meta-analysis of the regression coefficients across the three samples. The combined (and all three individual samples) showed a small positive phenotypic correlation between intelligence and lifespan. In the combined sample observed r = .12 (95% confidence interval .06 to .18). The additive genetic covariance model supported a genetic relationship between intelligence and lifespan. In the combined sample the genetic contribution to the covariance was 95%; in the US study, 84%; in the Swedish study, 86%, and in the Danish study, 85%. The finding of common genetic effects between lifespan and intelligence has important implications for public health, and for those interested in the genetics of intelligence, lifespan or inequalities in health outcomes including lifespan. © The Author 2015; Published by Oxford University Press on behalf of the International Epidemiological Association.

The association between intelligence and lifespan is mostly genetic

PubMed Central

Arden, Rosalind; Deary, Ian J; Reynolds, Chandra A; Pedersen, Nancy L; Plassman, Brenda L; McGue, Matt; Christensen, Kaare; Visscher, Peter M

2016-01-01

Abstract Background: Several studies in the new field of cognitive epidemiology have shown that higher intelligence predicts longer lifespan. This positive correlation might arise from socioeconomic status influencing both intelligence and health; intelligence leading to better health behaviours; and/or some shared genetic factors influencing both intelligence and health. Distinguishing among these hypotheses is crucial for medicine and public health, but can only be accomplished by studying a genetically informative sample. Methods: We analysed data from three genetically informative samples containing information on intelligence and mortality: Sample 1, 377 pairs of male veterans from the NAS-NRC US World War II Twin Registry; Sample 2, 246 pairs of twins from the Swedish Twin Registry; and Sample 3, 784 pairs of twins from the Danish Twin Registry. The age at which intelligence was measured differed between the samples. We used three methods of genetic analysis to examine the relationship between intelligence and lifespan: we calculated the proportion of the more intelligent twins who outlived their co-twin; we regressed within-twin-pair lifespan differences on within-twin-pair intelligence differences; and we used the resulting regression coefficients to model the additive genetic covariance. We conducted a meta-analysis of the regression coefficients across the three samples. Results: The combined (and all three individual samples) showed a small positive phenotypic correlation between intelligence and lifespan. In the combined sample observed r  = .12 (95% confidence interval .06 to .18). The additive genetic covariance model supported a genetic relationship between intelligence and lifespan. In the combined sample the genetic contribution to the covariance was 95%; in the US study, 84%; in the Swedish study, 86%, and in the Danish study, 85%. Conclusions: The finding of common genetic effects between lifespan and intelligence has important implications for public health, and for those interested in the genetics of intelligence, lifespan or inequalities in health outcomes including lifespan. PMID:26213105

Emotional intelligence in the workplace: exploring its effects on occupational stress and health outcomes in human service workers.

PubMed

Ogińska-Bulik, Nina

2005-01-01

Emotional intelligence, an essential factor responsible for determining success in life and psychological well-being, seems to play an important role in shaping the interaction between individuals and their work environment. The purpose of the study was to explore the relationship between emotional intelligence and perceived stress in the workplace and health-related consequences in human service workers. A sample of 330 participants (42.4% of men and 57.6% of women), representing various human service professions (physicians, nurses, teachers, probation officers and managers) was eligible for the study. The mean age of the participants was 38.4 years (SD = 8.45), and the employment period was 8.3 years (SD = 6.13). Three methods were used in the study: The Emotional Intelligence Questionnaire--INTE with Polish modification, the Subjective Work Evaluation Questionnaire developed in Poland, and the General Health Questionnaire (GHQ-28) with Polish modification. The results confirmed an essential, but not very strong, role of emotional intelligence in perceiving occupational stress and preventing employees of human services from negative health outcomes. The ability to effectively deal with emotions and emotional information in the workplace assists employees in coping with occupational stress therefore, it should be developed in stress managing trainings.

Intelligent-based Structural Damage Detection Model

NASA Astrophysics Data System (ADS)

Lee, Eric Wai Ming; Yu, Kin Fung

2010-05-01

This paper presents the application of a novel Artificial Neural Network (ANN) model for the diagnosis of structural damage. The ANN model, denoted as the GRNNFA, is a hybrid model combining the General Regression Neural Network Model (GRNN) and the Fuzzy ART (FA) model. It not only retains the important features of the GRNN and FA models (i.e. fast and stable network training and incremental growth of network structure) but also facilitates the removal of the noise embedded in the training samples. Structural damage alters the stiffness distribution of the structure and so as to change the natural frequencies and mode shapes of the system. The measured modal parameter changes due to a particular damage are treated as patterns for that damage. The proposed GRNNFA model was trained to learn those patterns in order to detect the possible damage location of the structure. Simulated data is employed to verify and illustrate the procedures of the proposed ANN-based damage diagnosis methodology. The results of this study have demonstrated the feasibility of applying the GRNNFA model to structural damage diagnosis even when the training samples were noise contaminated.

The U.S. Intelligence Community: Dilemmas of Management and Law.

DTIC Science & Technology

1980-06-01

power, it must share the limelight with money: who gets a piece of the half-trillion dollar federal budget, and how they spend it, is a primary activity...tasking of sys- tems whose primary mission is support to operating forces; train personnel for intelligence duties; provide an intelligence reserve; or are...mission, organization, and 4 fuctions of the Intelligence Community. And considering that the ultimate function of the Intelligence Community, as a service

Selling points: What cognitive abilities are tapped by casual video games?

PubMed Central

Baniqued, Pauline L.; Lee, Hyunkyu; Voss, Michelle W.; Basak, Chandramallika; Cosman, Joshua D.; DeSouza, Shanna; Severson, Joan; Salthouse, Timothy A.; Kramer, Arthur F.

2013-01-01

The idea that video games or computer-based applications can improve cognitive function has led to a proliferation of programs claiming to “train the brain.” However, there is often little scientific basis in the development of commercial training programs, and many research-based programs yield inconsistent or weak results. In this study, we sought to better understand the nature of cognitive abilities tapped by casual video games and thus reflect on their potential as a training tool. A moderately large sample of participants (n=209) played 20 web-based casual games and performed a battery of cognitive tasks. We used cognitive task analysis and multivariate statistical techniques to characterize the relationships between performance metrics. We validated the cognitive abilities measured in the task battery, examined a task analysis-based categorization of the casual games, and then characterized the relationship between game and task performance. We found that games categorized to tap working memory and reasoning were robustly related to performance on working memory and fluid intelligence tasks, with fluid intelligence best predicting scores on working memory and reasoning games. We discuss these results in the context of overlap in cognitive processes engaged by the cognitive tasks and casual games, and within the context of assessing near and far transfer. While this is not a training study, these findings provide a methodology to assess the validity of using certain games as training and assessment devices for specific cognitive abilities, and shed light on the mixed transfer results in the computer-based training literature. Moreover, the results can inform design of a more theoretically-driven and methodologically-sound cognitive training program. PMID:23246789

Selling points: What cognitive abilities are tapped by casual video games?

PubMed

Baniqued, Pauline L; Lee, Hyunkyu; Voss, Michelle W; Basak, Chandramallika; Cosman, Joshua D; Desouza, Shanna; Severson, Joan; Salthouse, Timothy A; Kramer, Arthur F

2013-01-01

The idea that video games or computer-based applications can improve cognitive function has led to a proliferation of programs claiming to "train the brain." However, there is often little scientific basis in the development of commercial training programs, and many research-based programs yield inconsistent or weak results. In this study, we sought to better understand the nature of cognitive abilities tapped by casual video games and thus reflect on their potential as a training tool. A moderately large sample of participants (n=209) played 20 web-based casual games and performed a battery of cognitive tasks. We used cognitive task analysis and multivariate statistical techniques to characterize the relationships between performance metrics. We validated the cognitive abilities measured in the task battery, examined a task analysis-based categorization of the casual games, and then characterized the relationship between game and task performance. We found that games categorized to tap working memory and reasoning were robustly related to performance on working memory and fluid intelligence tasks, with fluid intelligence best predicting scores on working memory and reasoning games. We discuss these results in the context of overlap in cognitive processes engaged by the cognitive tasks and casual games, and within the context of assessing near and far transfer. While this is not a training study, these findings provide a methodology to assess the validity of using certain games as training and assessment devices for specific cognitive abilities, and shed light on the mixed transfer results in the computer-based training literature. Moreover, the results can inform design of a more theoretically-driven and methodologically-sound cognitive training program. Copyright © 2012 Elsevier B.V. All rights reserved.

Prediction of pork loin quality using online computer vision system and artificial intelligence model.

PubMed

Sun, Xin; Young, Jennifer; Liu, Jeng-Hung; Newman, David

2018-06-01

The objective of this project was to develop a computer vision system (CVS) for objective measurement of pork loin under industry speed requirement. Color images of pork loin samples were acquired using a CVS. Subjective color and marbling scores were determined according to the National Pork Board standards by a trained evaluator. Instrument color measurement and crude fat percentage were used as control measurements. Image features (18 color features; 1 marbling feature; 88 texture features) were extracted from whole pork loin color images. Artificial intelligence prediction model (support vector machine) was established for pork color and marbling quality grades. The results showed that CVS with support vector machine modeling reached the highest prediction accuracy of 92.5% for measured pork color score and 75.0% for measured pork marbling score. This research shows that the proposed artificial intelligence prediction model with CVS can provide an effective tool for predicting color and marbling in the pork industry at online speeds. Copyright © 2018 Elsevier Ltd. All rights reserved.

"Chickens Are a Lot Smarter than I Originally Thought": Changes in Student Attitudes to Chickens Following a Chicken Training Class.

PubMed

Hazel, Susan J; O'Dwyer, Lisel; Ryan, Terry

2015-08-21

A practical class using clicker training of chickens to apply knowledge of how animals learn and practice skills in animal training was added to an undergraduate course. Since attitudes to animals are related to their perceived intelligence, surveys of student attitudes were completed pre- and post- the practical class, to determine if (1) the practical class changed students' attitudes to chickens and their ability to experience affective states, and (2) any changes were related to previous contact with chickens, training experience or gender. In the post- versus pre-surveys, students agreed more that chickens are easy to teach tricks to, are intelligent, and have individual personalities and disagreed more that they are difficult to train and are slow learners. Following the class, they were more likely to believe chickens experience boredom, frustration and happiness. Females rated the intelligence and ability to experience affective states in chickens more highly than males, although there were shifts in attitude in both genders. This study demonstrated shifts in attitudes following a practical class teaching clicker training in chickens. Similar practical classes may provide an effective method of teaching animal training skills and promoting more positive attitudes to animals.

Emotional intelligence skills for maintaining social networks in healthcare organizations.

PubMed

Freshman, Brenda; Rubino, Louis

2004-01-01

For healthcare organizations to survive in these increasingly challenging times, leadership and management must face mounting interpersonal concerns. The authors present the boundaries of internal and external social networks with respect to leadership and managerial functions: Social networks within the organization are stretched by reductions in available resources and structural ambiguity, whereas external social networks are stressed by interorganizational competitive pressures. The authors present the development of emotional intelligence skills in employees as a strategic training objective that can strengthen the internal and external social networks of healthcare organizations. The authors delineate the unique functions of leadership and management with respect to the application of emotional intelligence skills and discuss training and future research implications for emotional intelligence skill sets and social networks.

Cognitive Task Analysis and Intelligent Computer-Based Training Systems: Lessons Learned from Coached Practice Environments in Air Force Avionics.

ERIC Educational Resources Information Center

Katz, Sandra N.; Hall, Ellen; Lesgold, Alan

This paper describes some results of a collaborative effort between the University of Pittsburgh and the Air Force to develop advanced troubleshooting training for F-15 maintenance technicians. The focus is on the cognitive task methodology used in the development of three intelligent tutoring systems to inform their instructional content and…

Design and Effectiveness of Intelligent Tutors for Operators of Complex Dynamic Systems: A Tutor Implementation for Satellite System Operators.

ERIC Educational Resources Information Center

Mitchell, Christine M.; Govindaraj, T.

1990-01-01

Discusses the use of intelligent tutoring systems as opposed to traditional on-the-job training for training operators of complex dynamic systems and describes the computer architecture for a system for operators of a NASA (National Aeronautics and Space Administration) satellite control system. An experimental evaluation with college students is…

Artificial Intelligence: An Analysis of the Technology for Training. Training and Development Research Center Project Number Fourteen.

ERIC Educational Resources Information Center

Sayre, Scott Alan

The ultimate goal of the science of artificial intelligence (AI) is to establish programs that will use algorithmic computer techniques to imitate the heuristic thought processes of humans. Most AI programs, especially expert systems, organize their knowledge into three specific areas: data storage, a rule set, and a control structure. Limitations…

Altering the Mission Statement: The Training of Firefighters as Intelligence Gatherers

DTIC Science & Technology

2008-09-01

estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington headquarters Services ...distribution is unlimited 12b. DISTRIBUTION CODE A 13. ABSTRACT (maximum 200 words) The fire service is one of the...safety of our communities. 15. NUMBER OF PAGES 71 14. SUBJECT TERMS Fire Service , first responders, intelligence, firefighter training, awareness

Next generation emotional intelligence (Abstract)

Treesearch

Jim Saveland

2012-01-01

Emotional intelligence has been a hot topic in leadership training since Dan Goleman published his book on the subject in 1995. Emotional intelligence competencies are typically focused on recognition and regulation of emotions in one's self and social situations, yielding four categories: self-awareness, self-management, social awareness and relationship...

Next generation Emotional Intelligence

Treesearch

J. Saveland

2012-01-01

Emotional Intelligence has been a hot topic in leadership training since Dan Goleman published his book on the subject in 1995. Emotional intelligence competencies are typically focused on recognition and regulation of emotions in one's self and social situations, yielding four categories: self-awareness, self-management, social awareness and relationship...

Automatic intelligibility classification of sentence-level pathological speech

PubMed Central

Kim, Jangwon; Kumar, Naveen; Tsiartas, Andreas; Li, Ming; Narayanan, Shrikanth S.

2014-01-01

Pathological speech usually refers to the condition of speech distortion resulting from atypicalities in voice and/or in the articulatory mechanisms owing to disease, illness or other physical or biological insult to the production system. Although automatic evaluation of speech intelligibility and quality could come in handy in these scenarios to assist experts in diagnosis and treatment design, the many sources and types of variability often make it a very challenging computational processing problem. In this work we propose novel sentence-level features to capture abnormal variation in the prosodic, voice quality and pronunciation aspects in pathological speech. In addition, we propose a post-classification posterior smoothing scheme which refines the posterior of a test sample based on the posteriors of other test samples. Finally, we perform feature-level fusions and subsystem decision fusion for arriving at a final intelligibility decision. The performances are tested on two pathological speech datasets, the NKI CCRT Speech Corpus (advanced head and neck cancer) and the TORGO database (cerebral palsy or amyotrophic lateral sclerosis), by evaluating classification accuracy without overlapping subjects’ data among training and test partitions. Results show that the feature sets of each of the voice quality subsystem, prosodic subsystem, and pronunciation subsystem, offer significant discriminating power for binary intelligibility classification. We observe that the proposed posterior smoothing in the acoustic space can further reduce classification errors. The smoothed posterior score fusion of subsystems shows the best classification performance (73.5% for unweighted, and 72.8% for weighted, average recalls of the binary classes). PMID:25414544

Creatures in the Classroom: Preservice Teacher Beliefs About Fantastic Beasts, Magic, Extraterrestrials, Evolution and Creationism

NASA Astrophysics Data System (ADS)

Losh, Susan Carol; Nzekwe, Brandon

2011-05-01

Faculty have long expressed concern about pseudoscience belief among students. Most US research on such beliefs examines evolution-creation issues among liberal arts students, the general public, and occasionally science educators. Because of their future influence on youth, we examined basic science knowledge and several pseudoscience beliefs among 540 female and 123 male upperclass preservice teachers, comparing them with representative samples of comparably educated American adults. Future teachers resembled national adults on basic science knowledge. Their scores on evolution; creationism; intelligent design; fantastic beasts; magic; and extraterrestrials indices depended on the topic. Exempting science education, preservice teachers rejected evolution, accepting Biblical creation and intelligent design accounts. Sizable minorities "awaited more evidence" about fantastic beasts, magic, or extraterrestrials. Although gender, disciplinary major, grade point average, science knowledge, and two religiosity measures related to beliefs about evolution-creation, these factors were generally unassociated with the other indices. The findings suggest more training is needed for preservice educators in the critical evaluation of material evidence. We also discuss the judicious use of pseudoscience beliefs in such training.

Train Your Brain.

ERIC Educational Resources Information Center

Salopek, Jennifer J.

1998-01-01

In an interview, Daniel Goleman, author of "Working with Emotional Intelligence," explains how emotional intelligence outweighs cognitive ability and technical skills as a contributor to success in the workplace. (Author/JOW)

Proceedings of the 1993 Conference on Intelligent Computer-Aided Training and Virtual Environment Technology, Volume 1

NASA Technical Reports Server (NTRS)

Hyde, Patricia R.; Loftin, R. Bowen

1993-01-01

These proceedings are organized in the same manner as the conference's contributed sessions, with the papers grouped by topic area. These areas are as follows: VE (virtual environment) training for Space Flight, Virtual Environment Hardware, Knowledge Aquisition for ICAT (Intelligent Computer-Aided Training) & VE, Multimedia in ICAT Systems, VE in Training & Education (1 & 2), Virtual Environment Software (1 & 2), Models in ICAT systems, ICAT Commercial Applications, ICAT Architectures & Authoring Systems, ICAT Education & Medical Applications, Assessing VE for Training, VE & Human Systems (1 & 2), ICAT Theory & Natural Language, ICAT Applications in the Military, VE Applications in Engineering, Knowledge Acquisition for ICAT, and ICAT Applications in Aerospace.

Review on the Traction System Sensor Technology of a Rail Transit Train.

PubMed

Feng, Jianghua; Xu, Junfeng; Liao, Wu; Liu, Yong

2017-06-11

The development of high-speed intelligent rail transit has increased the number of sensors applied on trains. These play an important role in train state control and monitoring. These sensors generally work in a severe environment, so the key problem for sensor data acquisition is to ensure data accuracy and reliability. In this paper, we follow the sequence of sensor signal flow, present sensor signal sensing technology, sensor data acquisition, and processing technology, as well as sensor fault diagnosis technology based on the voltage, current, speed, and temperature sensors which are commonly used in train traction systems. Finally, intelligent sensors and future research directions of rail transit train sensors are discussed.

Review on the Traction System Sensor Technology of a Rail Transit Train

PubMed Central

Feng, Jianghua; Xu, Junfeng; Liao, Wu; Liu, Yong

2017-01-01

The development of high-speed intelligent rail transit has increased the number of sensors applied on trains. These play an important role in train state control and monitoring. These sensors generally work in a severe environment, so the key problem for sensor data acquisition is to ensure data accuracy and reliability. In this paper, we follow the sequence of sensor signal flow, present sensor signal sensing technology, sensor data acquisition, and processing technology, as well as sensor fault diagnosis technology based on the voltage, current, speed, and temperature sensors which are commonly used in train traction systems. Finally, intelligent sensors and future research directions of rail transit train sensors are discussed. PMID:28604615

Training effectiveness of an intelligent tutoring system for a propulsion console trainer

NASA Technical Reports Server (NTRS)

Johnson, Debra Steele

1990-01-01

A formative evaluation was conducted on an Intelligent Tutoring System (ITS) developed for tasks performed on the Propulsion Console. The ITS, which was developed primarily as a research tool, provides training on use of the Manual Select Keyboard (MSK). Three subjects completed three phases of training using the ITS: declarative, speed, and automaticity training. Data were collected on several performance dimensions, including training time, number of trials performed in each training phase, and number of errors. Information was also collected regarding the user interface and content of training. Suggestions for refining the ITS are discussed. Further, future potential uses and limitations of the ITS are discussed. The results provide an initial demonstration of the effectiveness of the Propulsion Console ITS and indicate the potential benefits of this form of training tool for related tasks.

Applications of intelligent computer-aided training

NASA Technical Reports Server (NTRS)

Loftin, R. B.; Savely, Robert T.

1991-01-01

Intelligent computer-aided training (ICAT) systems simulate the behavior of an experienced instructor observing a trainee, responding to help requests, diagnosing and remedying trainee errors, and proposing challenging new training scenarios. This paper presents a generic ICAT architecture that supports the efficient development of ICAT systems for varied tasks. In addition, details of ICAT projects, built with this architecture, that deliver specific training for Space Shuttle crew members, ground support personnel, and flight controllers are presented. Concurrently with the creation of specific ICAT applications, a general-purpose software development environment for ICAT systems is being built. The widespread use of such systems for both ground-based and on-orbit training will serve to preserve task and training expertise, support the training of large numbers of personnel in a distributed manner, and ensure the uniformity and verifiability of training experiences.

Thinking and Writing: Cognitive Science and Intelligence Analysis

DTIC Science & Technology

2010-02-01

well as books and monographs addressing historical, operational, doctrinal, and theoretical aspects of the intelligence profession. It also...Intelligence published an updated version of Heuer’s articles in a book , Psychology of Intelligence Analysis, in 1999. Since reprinted by CIA and available...commercially, the book is now a staple in many analytic training courses. conclusion. This and other examples, he says, il- lustrate how the things

An Experiential Approach to Cultural Intelligence Education

ERIC Educational Resources Information Center

MacNab, Brent R.

2012-01-01

Cultural intelligence (CQ) represents a promising advancement in the area of cross-cultural training and management. Experiential approaches for CQ development have been proposed as highly effective; however, there is a lack of CQ-specific approaches in the management literature. This work overviews the concept of cultural intelligence and its…

IQ Test Controversy: Past, Present, and Future Trends.

ERIC Educational Resources Information Center

Alford, David W.

The controversies surrounding the use of intelligence quotient (IQ) tests with children are summarized. This article discusses what intelligence is and how intelligence is measured. It also examines factors which can affect measurement, including examiner training or bias, examinee age, misinterpretation of test scores, and poor tests. The…

Emotional intelligence as a crucial component to medical education.

PubMed

Johnson, Debbi R

2015-12-06

The primary focus of this review was to discover what is already known about Emotional Intelligence (EI) and the role it plays within social relationships, as well as its importance in the fields of health care and health care education. This article analyzes the importance of EI in the field of health care and recommends various ways that this important skill can be built into medical programs. Information was gathered using various database searches including EBSCOHOST, Academic Search Premier and ERIC. The search was conducted in English language journals from the last ten years. Descriptors include: Emotional Intelligence, medical students and communication skills, graduate medical education, Emotional Intelligence and graduate medical education, Emotional Intelligence training programs, program evaluation and development. Results of the study show a direct correlation between medical education and emotional intelligence competencies, which makes the field of medical education an ideal one in which to integrate further EI training. The definition of EI as an ability-based skill allows for training in specific competencies that can be directly applied to a specialized field. When EI is conceptualized as an ability that can be taught, learned, and changed, it may be used to address the specific aspects of the clinician-patient relationship that are not working well. For this reason, teaching EI should be a priority in the field of medical education in order to better facilitate this relationship in the future.

Working memory training in older adults: Bayesian evidence supporting the absence of transfer.

PubMed

Guye, Sabrina; von Bastian, Claudia C

2017-12-01

The question of whether working memory training leads to generalized improvements in untrained cognitive abilities is a longstanding and heatedly debated one. Previous research provides mostly ambiguous evidence regarding the presence or absence of transfer effects in older adults. Thus, to draw decisive conclusions regarding the effectiveness of working memory training interventions, methodologically sound studies with larger sample sizes are needed. In this study, we investigated whether or not a computer-based working memory training intervention induced near and far transfer in a large sample of 142 healthy older adults (65 to 80 years). Therefore, we randomly assigned participants to either the experimental group, which completed 25 sessions of adaptive, process-based working memory training, or to the active, adaptive visual search control group. Bayesian linear mixed-effects models were used to estimate performance improvements on the level of abilities, using multiple indicator tasks for near (working memory) and far transfer (fluid intelligence, shifting, and inhibition). Our data provided consistent evidence supporting the absence of near transfer to untrained working memory tasks and the absence of far transfer effects to all of the assessed abilities. Our results suggest that working memory training is not an effective way to improve general cognitive functioning in old age. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Usage of the back-propagation method for alphabet recognition

NASA Astrophysics Data System (ADS)

Shaila Sree, R. N.; Eswaran, Kumar; Sundararajan, N.

1999-03-01

Artificial Neural Networks play a pivotal role in the branch of Artificial Intelligence. They can be trained efficiently for a variety of tasks using different methods, of which the Back Propagation method is one among them. The paper studies the choosing of various design parameters of a neural network for the Back Propagation method. The study shows that when these parameters are properly assigned, the training task of the net is greatly simplified. The character recognition problem has been chosen as a test case for this study. A sample space of different handwritten characters of the English alphabet was gathered. A Neural net is finally designed taking many the design aspects into consideration and trained for different styles of writing. Experimental results are reported and discussed. It has been found that an appropriate choice of the design parameters of the neural net for the Back Propagation method reduces the training time and improves the performance of the net.

Individual Differences in Military Training Environments: Four Areas of Research

DTIC Science & Technology

1987-01-30

training setting. Such factors as ability, skills, experience, intelligence , interests, personal characteristics (e.g., age) and motivation interact...recruits than were Intelligence scores; fast learners retained more and relearned more quickly than slow learners. This suggests that if the goal is to...and Development Center. Gottfredson , G.D., Holland, J.L. and Ogawa, D.K. (1982). Dictionary of Holland occupational codes. Palo Alto, CA: Consulting

Student Science Training Program in Mathematics, Physics and Computer Science. Final Report to the National Science Foundation. Artificial Intelligence Memo No. 393.

ERIC Educational Resources Information Center

Abelson, Harold; diSessa, Andy

During the summer of 1976, the MIT Artificial Intelligence Laboratory sponsored a Student Science Training Program in Mathematics, Physics, and Computer Science for high ability secondary school students. This report describes, in some detail, the style of the program, the curriculum and the projects the students under-took. It is hoped that this…

A Preliminary Investigation into Cognitive Aptitudes Predictive of Overall MQ-1 Predator Pilot Qualification Training Performance

DTIC Science & Technology

2015-11-06

Predator pilot vacancies. The purpose of this study was to evaluate computer-based intelligence and neuropsychological testing on training...high-risk, high-demand occupation. 15. SUBJECT TERMS Remotely piloted aircraft, RPA, neuropsychological screening, intelligence testing , computer...based testing , Predator, MQ-1 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT SAR 18. NUMBER OF PAGES 20 19a. NAME OF

Toward Augmented Radiologists: Changes in Radiology Education in the Era of Machine Learning and Artificial Intelligence.

PubMed

Tajmir, Shahein H; Alkasab, Tarik K

2018-06-01

Radiology practice will be altered by the coming of artificial intelligence, and the process of learning in radiology will be similarly affected. In the short term, radiologists will need to understand the first wave of artificially intelligent tools, how they can help them improve their practice, and be able to effectively supervise their use. Radiology training programs will need to develop curricula to help trainees acquire the knowledge to carry out this new supervisory duty of radiologists. In the longer term, artificially intelligent software assistants could have a transformative effect on the training of residents and fellows, and offer new opportunities to bring learning into the ongoing practice of attending radiologists. Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Leadership training to improve nurse retention.

PubMed

Wallis, Allan; Kennedy, Kathy I

2013-05-01

This paper discusses findings from an evaluation of a training programme designed to promote collaborative, team-based approaches to improve nurse retention within health care organizations. A year-long leadership training programme was designed and implemented to develop effective teams that could address retention challenges in a diverse set of organizations in Colorado ranging from public, private to non-profit. An evaluation, based on a combination of participant observation, group interviews, and the use of standardized tests measuring individual emotional intelligence and team dynamics was conducted to assess the effectiveness of the training programme. What role do the emotional intelligence of individual members and organizational culture play in team effectiveness? Out of five teams participating in the training programme, two performed exceptionally well, one experienced moderate success and two encountered significant problems. Team dynamics were significantly affected by the emotional intelligence of key members holding supervisory positions and by the existing culture and structure of the participating organizations. Team approaches to retention hold promise but require careful development and are most likely to work where organizations have a collaborative problem-solving environment. © 2012 Blackwell Publishing Ltd.

The role of individual differences in cognitive training and transfer.

PubMed

Jaeggi, Susanne M; Buschkuehl, Martin; Shah, Priti; Jonides, John

2014-04-01

Working memory (WM) training has recently become a topic of intense interest and controversy. Although several recent studies have reported near- and far-transfer effects as a result of training WM-related skills, others have failed to show far transfer, suggesting that generalization effects are elusive. Also, many of the earlier intervention attempts have been criticized on methodological grounds. The present study resolves some of the methodological limitations of previous studies and also considers individual differences as potential explanations for the differing transfer effects across studies. We recruited intrinsically motivated participants and assessed their need for cognition (NFC; Cacioppo & Petty Journal of Personality and Social Psychology 42:116-131, 1982) and their implicit theories of intelligence (Dweck, 1999) prior to training. We assessed the efficacy of two WM interventions by comparing participants' improvements on a battery of fluid intelligence tests against those of an active control group. We observed that transfer to a composite measure of fluid reasoning resulted from both WM interventions. In addition, we uncovered factors that contributed to training success, including motivation, need for cognition, preexisting ability, and implicit theories about intelligence.

Comparison of the Effectiveness of Interactive Didactic Lecture Versus Online Simulation-Based CME Programs Directed at Improving the Diagnostic Capabilities of Primary Care Practitioners.

PubMed

McFadden, Pam; Crim, Andrew

2016-01-01

Diagnostic errors in primary care contribute to increased morbidity and mortality, and billions in costs each year. Improvements in the way practicing physicians are taught so as to optimally perform differential diagnosis can increase patient safety and lower the costs of care. This study represents a comparison of the effectiveness of two approaches to CME training directed at improving the primary care practitioner's diagnostic capabilities against seven common and important causes of joint pain. Using a convenience sampling methodology, one group of primary care practitioners was trained by a traditional live, expert-led, multimedia-based training activity supplemented with interactive practice opportunities and feedback (control group). The second group was trained online with a multimedia-based training activity supplemented with interactive practice opportunities and feedback delivered by an artificial intelligence-driven simulation/tutor (treatment group). Before their respective instructional intervention, there were no significant differences in the diagnostic performance of the two groups against a battery of case vignettes presenting with joint pain. Using the same battery of case vignettes to assess postintervention diagnostic performance, there was a slight but not statistically significant improvement in the control group's diagnostic accuracy (P = .13). The treatment group, however, demonstrated a significant improvement in accuracy (P < .02; Cohen d, effect size = 0.79). These data indicate that within the context of a CME activity, a significant improvement in diagnostic accuracy can be achieved by the use of a web-delivered, multimedia-based instructional activity supplemented by practice opportunities and feedback delivered by an artificial intelligence-driven simulation/tutor.

Use of artificial intelligence to identify cardiovascular compromise in a model of hemorrhagic shock.

PubMed

Glass, Todd F; Knapp, Jason; Amburn, Philip; Clay, Bruce A; Kabrisky, Matt; Rogers, Steven K; Garcia, Victor F

2004-02-01

To determine whether a prototype artificial intelligence system can identify volume of hemorrhage in a porcine model of controlled hemorrhagic shock. Prospective in vivo animal model of hemorrhagic shock. Research foundation animal surgical suite; computer laboratories of collaborating industry partner. Nineteen, juvenile, 25- to 35-kg, male and female swine. Anesthetized animals were instrumented for arterial and systemic venous pressure monitoring and blood sampling, and a splenectomy was performed. Following a 1-hr stabilization period, animals were hemorrhaged in aliquots to 10, 20, 30, 35, 40, 45, and 50% of total blood volume with a 10-min recovery between each aliquot. Data were downloaded directly from a commercial monitoring system into a proprietary PC-based software package for analysis. Arterial and venous blood gas values, glucose, and cardiac output were collected at specified intervals. Electrocardiogram, electroencephalogram, mixed venous oxygen saturation, temperature (core and blood), mean arterial pressure, pulmonary artery pressure, central venous pressure, pulse oximetry, and end-tidal CO(2) were continuously monitored and downloaded. Seventeen of 19 animals (89%) died as a direct result of hemorrhage. Stored data streams were analyzed by the prototype artificial intelligence system. For this project, the artificial intelligence system identified and compared three electrocardiographic features (R-R interval, QRS amplitude, and R-S interval) from each of nine unknown samples of the QRS complex. We found that the artificial intelligence system, trained on only three electrocardiographic features, identified hemorrhage volume with an average accuracy of 91% (95% confidence interval, 84-96%). These experiments demonstrate that an artificial intelligence system, based solely on the analysis of QRS amplitude, R-R interval, and R-S interval of an electrocardiogram, is able to accurately identify hemorrhage volume in a porcine model of lethal hemorrhagic shock. We suggest that this technology may represent a noninvasive means of assessing the physiologic state during and immediately following hemorrhage. Point of care application of this technology may improve outcomes with earlier diagnosis and better titration of therapy of shock.

Naval Computer-Based Instruction: Cost, Implementation and Effectiveness Issues.

DTIC Science & Technology

1988-03-01

logical follow on to MITIPAC and are an attempt to use some artificial intelligence (AI) techniques with computer-based training. A good intelligent ...principles of steam plant operation and maintenance. Steamer was written in LISP on a LISP machine in an attempt to use artificial intelligence . "What... Artificial Intelligence and Speech Technology", Electronic Learning, September 1987. Montague, William. E., code 5, Navy Personnel Research and

The development of expertise using an intelligent computer-aided training system

NASA Technical Reports Server (NTRS)

Johnson, Debra Steele

1991-01-01

An initial examination was conducted of an Intelligent Tutoring System (ITS) developed for use in industry. The ITS, developed by NASA, simulated a satellite deployment task. More specifically, the PD (Payload Assist Module Deployment)/ICAT (Intelligent Computer Aided Training) System simulated a nominal Payload Assist Module (PAM) deployment. The development of expertise on this task was examined using three Flight Dynamics Officer (FDO) candidates who has no previous experience with this task. The results indicated that performance improved rapidly until Trial 5, followed by more gradual improvements through Trial 12. The performance dimensions measured included performance speed, actions completed, errors, help required, and display fields checked. Suggestions for further refining the software and for deciding when to expose trainees to more difficult task scenarios are discussed. Further, the results provide an initial demonstration of the effectiveness of the PD/ICAT system in training the nominal PAM deployment task and indicate the potential benefits of using ITS's for training other FDO tasks.

Playing with the Multiple Intelligences: How Play Helps Them Grow

ERIC Educational Resources Information Center

Eberle, Scott G.

2011-01-01

Howard Gardner first posited a list of "multiple intelligences" as a liberating alternative to the assumptions underlying traditional IQ testing in his widely read study "Frames of Mind" (1983). Play has appeared only in passing in Gardner's thinking about intelligence, however, even though play instructs and trains the verbal, interpersonal,…

Prerequisites for Emotional Intelligence Formation in Second Language Learning and Career Choice

ERIC Educational Resources Information Center

Baklashova, Tatiana A.; Galishnikova, Elena M.; Khafizova, Liliya A.

2016-01-01

The relevance of the topic is due to the enhancing role of emotional intelligence in second language learning. The article aims to substantiate that emotional intelligence (EI) strengthens training quality of future professionals, gives it an emotional color, and thereby increases a variety of intellectual skills. The leading methodical approaches…

Training Engineers for the Ambient Intelligence Challenge

ERIC Educational Resources Information Center

Corno, Fulvio; De Russis, Luigi

2017-01-01

The increasing complexity of the new breed of distributed intelligent systems, such as the Internet of Things, which require a diversity of languages and protocols, can only be tamed with design and programming best practices. Interest is also growing for including the human factor, as advocated by the "ambient intelligence" (AmI)…

Provision of Training for the IT Industry: The ELEVATE Project

NASA Astrophysics Data System (ADS)

Paraskakis, Iraklis; Konstantinidis, Andreas; Bouras, Thanassis; Perakis, Kostas; Pantelopoulos, Stelios; Hatziapostolou, Thanos

This paper will present ELEVATE that aims to deliver an innovative training, educational and certification environment integrating the application software to be taught with the training procedure. ELEVATE aspires to address the training needs of software development SMEs and the solution proposed is based on three basic notions: to provide competence training that is tailored to the needs of the individual trainee, to allow the trainee to carry out authentic activities as well as problem based learning that draws from real life scenarios and finally to allow for the assessment and certification of the skills and competences acquired. In order to achieve the desired results the ELEVATE architecture utilises an Interactive Interoperability Layer, an Intelligent Personalization Trainer as well as the Training, Evaluation & Certification component. As an end product, the ELEVATE project The ELEVATE pedagogical model is based on blended learning, the e-Training component (an intelligent system that provides tailored training) and Learning 2.0.

A conceptual model for worksite intelligent physical exercise training--IPET--intervention for decreasing life style health risk indicators among employees: a randomized controlled trial.

PubMed

Sjøgaard, Gisela; Justesen, Just Bendix; Murray, Mike; Dalager, Tina; Søgaard, Karen

2014-06-26

Health promotion at the work site in terms of physical activity has proven positive effects but optimization of relevant exercise training protocols and implementation for high adherence are still scanty. The aim of this paper is to present a study protocol with a conceptual model for planning the optimal individually tailored physical exercise training for each worker based on individual health check, existing guidelines and state of the art sports science training recommendations in the broad categories of cardiorespiratory fitness, muscle strength in specific body parts, and functional training including balance training. The hypotheses of this research are that individually tailored worksite-based intelligent physical exercise training, IPET, among workers with inactive job categories will: 1) Improve cardiorespiratory fitness and/or individual health risk indicators, 2) Improve muscle strength and decrease musculoskeletal disorders, 3) Succeed in regular adherence to worksite and leisure physical activity training, and 3) Reduce sickness absence and productivity losses (presenteeism) in office workers. The present RCT study enrolled almost 400 employees with sedentary jobs in the private as well as public sectors. The training interventions last 2 years with measures at baseline as well as one and two years follow-up. If proven effective, the intelligent physical exercise training scheduled as well as the information for its practical implementation can provide meaningful scientifically based information for public health policy. ClinicalTrials.gov, number: NCT01366950.

A conceptual model for worksite intelligent physical exercise training - IPET - intervention for decreasing life style health risk indicators among employees: a randomized controlled trial

PubMed Central

2014-01-01

Background Health promotion at the work site in terms of physical activity has proven positive effects but optimization of relevant exercise training protocols and implementation for high adherence are still scanty. Methods/Design The aim of this paper is to present a study protocol with a conceptual model for planning the optimal individually tailored physical exercise training for each worker based on individual health check, existing guidelines and state of the art sports science training recommendations in the broad categories of cardiorespiratory fitness, muscle strength in specific body parts, and functional training including balance training. The hypotheses of this research are that individually tailored worksite-based intelligent physical exercise training, IPET, among workers with inactive job categories will: 1) Improve cardiorespiratory fitness and/or individual health risk indicators, 2) Improve muscle strength and decrease musculoskeletal disorders, 3) Succeed in regular adherence to worksite and leisure physical activity training, and 3) Reduce sickness absence and productivity losses (presenteeism) in office workers. The present RCT study enrolled almost 400 employees with sedentary jobs in the private as well as public sectors. The training interventions last 2 years with measures at baseline as well as one and two years follow-up. Discussion If proven effective, the intelligent physical exercise training scheduled as well as the information for its practical implementation can provide meaningful scientifically based information for public health policy. Trial Registration ClinicalTrials.gov, number: NCT01366950. PMID:24964869

Artificial intelligence in sports on the example of weight training.

PubMed

Novatchkov, Hristo; Baca, Arnold

2013-01-01

The overall goal of the present study was to illustrate the potential of artificial intelligence (AI) techniques in sports on the example of weight training. The research focused in particular on the implementation of pattern recognition methods for the evaluation of performed exercises on training machines. The data acquisition was carried out using way and cable force sensors attached to various weight machines, thereby enabling the measurement of essential displacement and force determinants during training. On the basis of the gathered data, it was consequently possible to deduce other significant characteristics like time periods or movement velocities. These parameters were applied for the development of intelligent methods adapted from conventional machine learning concepts, allowing an automatic assessment of the exercise technique and providing individuals with appropriate feedback. In practice, the implementation of such techniques could be crucial for the investigation of the quality of the execution, the assistance of athletes but also coaches, the training optimization and for prevention purposes. For the current study, the data was based on measurements from 15 rather inexperienced participants, performing 3-5 sets of 10-12 repetitions on a leg press machine. The initially preprocessed data was used for the extraction of significant features, on which supervised modeling methods were applied. Professional trainers were involved in the assessment and classification processes by analyzing the video recorded executions. The so far obtained modeling results showed good performance and prediction outcomes, indicating the feasibility and potency of AI techniques in assessing performances on weight training equipment automatically and providing sportsmen with prompt advice. Key pointsArtificial intelligence is a promising field for sport-related analysis.Implementations integrating pattern recognition techniques enable the automatic evaluation of data measurements.Artificial neural networks applied for the analysis of weight training data show good performance and high classification rates.

Artificial Intelligence in Sports on the Example of Weight Training

PubMed Central

Novatchkov, Hristo; Baca, Arnold

2013-01-01

The overall goal of the present study was to illustrate the potential of artificial intelligence (AI) techniques in sports on the example of weight training. The research focused in particular on the implementation of pattern recognition methods for the evaluation of performed exercises on training machines. The data acquisition was carried out using way and cable force sensors attached to various weight machines, thereby enabling the measurement of essential displacement and force determinants during training. On the basis of the gathered data, it was consequently possible to deduce other significant characteristics like time periods or movement velocities. These parameters were applied for the development of intelligent methods adapted from conventional machine learning concepts, allowing an automatic assessment of the exercise technique and providing individuals with appropriate feedback. In practice, the implementation of such techniques could be crucial for the investigation of the quality of the execution, the assistance of athletes but also coaches, the training optimization and for prevention purposes. For the current study, the data was based on measurements from 15 rather inexperienced participants, performing 3-5 sets of 10-12 repetitions on a leg press machine. The initially preprocessed data was used for the extraction of significant features, on which supervised modeling methods were applied. Professional trainers were involved in the assessment and classification processes by analyzing the video recorded executions. The so far obtained modeling results showed good performance and prediction outcomes, indicating the feasibility and potency of AI techniques in assessing performances on weight training equipment automatically and providing sportsmen with prompt advice. Key points Artificial intelligence is a promising field for sport-related analysis. Implementations integrating pattern recognition techniques enable the automatic evaluation of data measurements. Artificial neural networks applied for the analysis of weight training data show good performance and high classification rates. PMID:24149722

Do We Really Become Smarter When Our Fluid-Intelligence Test Scores Improve?

PubMed Central

Hayes, Taylor R.; Petrov, Alexander A.; Sederberg, Per B.

2014-01-01

Recent reports of training-induced gains on fluid intelligence tests have fueled an explosion of interest in cognitive training—now a billion-dollar industry. The interpretation of these results is questionable because score gains can be dominated by factors that play marginal roles in the scores themselves, and because intelligence gain is not the only possible explanation for the observed control-adjusted far transfer across tasks. Here we present novel evidence that the test score gains used to measure the efficacy of cognitive training may reflect strategy refinement instead of intelligence gains. A novel scanpath analysis of eye movement data from 35 participants solving Raven’s Advanced Progressive Matrices on two separate sessions indicated that one-third of the variance of score gains could be attributed to test-taking strategy alone, as revealed by characteristic changes in eye-fixation patterns. When the strategic contaminant was partialled out, the residual score gains were no longer significant. These results are compatible with established theories of skill acquisition suggesting that procedural knowledge tacitly acquired during training can later be utilized at posttest. Our novel method and result both underline a reason to be wary of purported intelligence gains, but also provide a way forward for testing for them in the future. PMID:25395695

Artificial Intelligence: An Analysis of Potential Applications to Training, Performance Measurement, and Job Performance Aiding. Interim Report for Period September 1982-July 1983.

ERIC Educational Resources Information Center

Richardson, J. Jeffrey

This paper is part of an Air Force planning effort to develop a research, development, and applications program for the use of artificial intelligence (AI) technology in three target areas: training, performance measurement, and job performance aiding. The paper is organized in five sections that (1) introduce the reader to AI and those subfields…

Relationship between the Short-Term Visual Memory and IQ in the Right-and Left-Handed Subjects Trained in Different Educational Programs: I-General Assessment

ERIC Educational Resources Information Center

Yilmaz, Yavuz; Yetkin, Yalçin

2014-01-01

The relationship between mean intelligence quotient (IQ), hand preferences and visual memory (VM) were investigated on (N = 612) males and females students trained in different educational programs in viewpoint of laterality. IQ was assessed by cattle's culture Fair intelligence test-A (CCFIT-A). The laterality of the one side of the body was…

Understanding the Impact of Intelligent Tutoring Agents on Real-Time Training Simulations

DTIC Science & Technology

2011-01-01

environments has increased. Intelligent Tutoring Systems (ITS) technology may include reactive or proactive simulation agents that monitor and... environments . These reactive agents monitor the trainee’s progress and provide hints or other feedback only when there is sufficient variance from... agents have a higher computational cost in that they need to sense and understand more about the trainee, environment and training context, but are

Irregular Conflict and the Wicked Problem Dilemma: Strategies of Imperfection

DTIC Science & Technology

2011-06-01

behavioral concepts will enhance the pros- pects of achieving “good enough” resolutions. The elements of such an approach are set forth below. Goal...strategic communications.5 The manual assumes competency in, among other areas, the ability to collect useful intelligence, the ability to train host...including the difficulty of useful intelligence collection, the history of multiple ineffective training efforts, and the com- petition for what are

Intelligent control of a planning system for astronaut training.

PubMed

Ortiz, J; Chen, G

1999-07-01

This work intends to design, analyze and solve, from the systems control perspective, a complex, dynamic, and multiconstrained planning system for generating training plans for crew members of the NASA-led International Space Station. Various intelligent planning systems have been developed within the framework of artificial intelligence. These planning systems generally lack a rigorous mathematical formalism to allow a reliable and flexible methodology for their design, modeling, and performance analysis in a dynamical, time-critical, and multiconstrained environment. Formulating the planning problem in the domain of discrete-event systems under a unified framework such that it can be modeled, designed, and analyzed as a control system will provide a self-contained theory for such planning systems. This will also provide a means to certify various planning systems for operations in the dynamical and complex environments in space. The work presented here completes the design, development, and analysis of an intricate, large-scale, and representative mathematical formulation for intelligent control of a real planning system for Space Station crew training. This planning system has been tested and used at NASA-Johnson Space Center.

Training + Technology: The Future Is Now.

ERIC Educational Resources Information Center

Heathman, Dena J.; Kleiner, Brian H.

1991-01-01

New applications of computer-assisted training being developed include telecommunications, artificial intelligence, soft skills training, and performance support systems. Barriers to acceptance are development time, costs, and lack of human contact. (SK)

A preliminary investigation to explore the cognitive resources of physicians experiencing difficulty in training.

PubMed

Patterson, Fiona; Cousans, Fran; Coyne, Iain; Jones, Jo; Macleod, Sheona; Zibarras, Lara

2017-05-15

Treating patients is complex, and research shows that there are differences in cognitive resources between physicians who experience difficulties, and those who do not. It is possible that differences in some cognitive resources could explain the difficulties faced by some physicians. In this study, we explore differences in cognitive resources between different groups of physicians (that is, between native (UK) physicians and International Medical Graduates (IMG); those who continue with training versus those who were subsequently removed from the training programme); and also between physicians experiencing difficulties compared with the general population. A secondary evaluation was conducted on an anonymised dataset provided by the East Midlands Professional Support Unit (PSU). One hundred and twenty one postgraduate trainee physicians took part in an Educational Psychology assessment through PSU. Referrals to the PSU were mainly on the basis of problems with exam progression and difficulties in communication skills, organisation and confidence. Cognitive resources were assessed using the Wechsler Adult Intelligence Scale (WAIS-IV). Physicians were categorised into three PSU outcomes: 'Continued in training', 'Removed from training' and 'Active' (currently accessing the PSU). Using a one-sample Z test, we compared the referred physician sample to a UK general population sample on the WAIS-IV and found the referred sample significantly higher in Verbal Comprehension (VCI; z = 8.78) and significantly lower in Working Memory (WMI; z = -4.59). In addition, the native sample were significantly higher in Verbal Comprehension than the UK general population sample (VCI; native physicians: z = 9.95, p < .001, d = 1.25), whilst there was a lesser effect for the difference between the IMG sample and the UK general population (z = 2.13, p = .03, d = 0.29). Findings also showed a significant difference in VCI scores between those physicians who were 'Removed from training' and those who 'Continued in training'. Our results suggest it is important to understand the cognitive resources of physicians to provide a more focussed explanation of those who experience difficulties in training. This will help to implement more targeted interventions to help physicians develop compensatory strategies.

Support vector machines-based fault diagnosis for turbo-pump rotor

NASA Astrophysics Data System (ADS)

Yuan, Sheng-Fa; Chu, Fu-Lei

2006-05-01

Most artificial intelligence methods used in fault diagnosis are based on empirical risk minimisation principle and have poor generalisation when fault samples are few. Support vector machines (SVM) is a new general machine-learning tool based on structural risk minimisation principle that exhibits good generalisation even when fault samples are few. Fault diagnosis based on SVM is discussed. Since basic SVM is originally designed for two-class classification, while most of fault diagnosis problems are multi-class cases, a new multi-class classification of SVM named 'one to others' algorithm is presented to solve the multi-class recognition problems. It is a binary tree classifier composed of several two-class classifiers organised by fault priority, which is simple, and has little repeated training amount, and the rate of training and recognition is expedited. The effectiveness of the method is verified by the application to the fault diagnosis for turbo pump rotor.

New insights into olivo-cerebellar circuits for learning from a small training sample.

PubMed

Tokuda, Isao T; Hoang, Huu; Kawato, Mitsuo

2017-10-01

Artificial intelligence such as deep neural networks exhibited remarkable performance in simulated video games and 'Go'. In contrast, most humanoid robots in the DARPA Robotics Challenge fell down to ground. The dramatic contrast in performance is mainly due to differences in the amount of training data, which is huge and small, respectively. Animals are not allowed with millions of the failed trials, which lead to injury and death. Humans fall only several thousand times before they balance and walk. We hypothesize that a unique closed-loop neural circuit formed by the Purkinje cells, the cerebellar deep nucleus and the inferior olive in and around the cerebellum and the highest density of gap junctions, which regulate synchronous activities of the inferior olive nucleus, are computational machinery for learning from a small sample. We discuss recent experimental and computational advances associated with this hypothesis. Copyright © 2017 Elsevier Ltd. All rights reserved.

Artificial intelligence: Learning to see and act

NASA Astrophysics Data System (ADS)

Schölkopf, Bernhard

2015-02-01

An artificial-intelligence system uses machine learning from massive training sets to teach itself to play 49 classic computer games, demonstrating that it can adapt to a variety of tasks. See Letter p.529

Emotional intelligence as a crucial component to medical education

PubMed Central

2015-01-01

Objectives The primary focus of this review was to discover what is already known about Emotional Intelligence (EI) and the role it plays within social relationships, as well as its importance in the fields of health care and health care education. This article analyzes the importance of EI in the field of health care and recommends various ways that this important skill can be built into medical programs. Methods Information was gathered using various database searches including EBSCOHOST, Academic Search Premier and ERIC. The search was conducted in English language journals from the last ten years. Descriptors include: Emotional Intelligence, medical students and communication skills, graduate medical education, Emotional Intelligence and graduate medical education, Emotional Intelligence training programs, program evaluation and development. Results Results of the study show a direct correlation between medical education and emotional intelligence competencies, which makes the field of medical education an ideal one in which to integrate further EI training. Conclusions The definition of EI as an ability-based skill allows for training in specific competencies that can be directly applied to a specialized field. When EI is conceptualized as an ability that can be taught, learned, and changed, it may be used to address the specific aspects of the clinician–patient relationship that are not working well. For this reason, teaching EI should be a priority in the field of medical education in order to better facilitate this relationship in the future. PMID:26638080

Relationship between emotional intelligence and organizational citizenship behavior.

PubMed

Turnipseed, David L; Vandewaa, Elizabeth A

2012-06-01

This study evaluated hypothesized positive linkages between organizational citizenship behavior and the emotional intelligence dimensions of perception, using emotion, understanding emotion, and management of emotion, involving two samples. Sample 1 comprised 334 employed college students, 52% male, with a mean age of 23.4 yr., who worked an average of 29.6 hr. per week. Sample 2 comprised 72 professors, 81% female, with a mean age of 47 yr. Measures were the Emotional Intelligence Scale and the Organizational Citizenship Behavior Scale. Results of hierarchical multiple regressions indicated a positive link between organizational citizenship behavior and emotional intelligence. There were differences between the samples. In Sample 1, each of the emotional intelligence dimensions were positively linked to citizenship behavior: using and managing emotion were the greatest contributors. In Sample 2, managing emotion was the only contributor. Emotional intelligence had the strongest relationship with citizenship behavior directed at individuals.

Joint Dictionary Learning-Based Non-Negative Matrix Factorization for Voice Conversion to Improve Speech Intelligibility After Oral Surgery.

PubMed

Fu, Szu-Wei; Li, Pei-Chun; Lai, Ying-Hui; Yang, Cheng-Chien; Hsieh, Li-Chun; Tsao, Yu

2017-11-01

Objective: This paper focuses on machine learning based voice conversion (VC) techniques for improving the speech intelligibility of surgical patients who have had parts of their articulators removed. Because of the removal of parts of the articulator, a patient's speech may be distorted and difficult to understand. To overcome this problem, VC methods can be applied to convert the distorted speech such that it is clear and more intelligible. To design an effective VC method, two key points must be considered: 1) the amount of training data may be limited (because speaking for a long time is usually difficult for postoperative patients); 2) rapid conversion is desirable (for better communication). Methods: We propose a novel joint dictionary learning based non-negative matrix factorization (JD-NMF) algorithm. Compared to conventional VC techniques, JD-NMF can perform VC efficiently and effectively with only a small amount of training data. Results: The experimental results demonstrate that the proposed JD-NMF method not only achieves notably higher short-time objective intelligibility (STOI) scores (a standardized objective intelligibility evaluation metric) than those obtained using the original unconverted speech but is also significantly more efficient and effective than a conventional exemplar-based NMF VC method. Conclusion: The proposed JD-NMF method may outperform the state-of-the-art exemplar-based NMF VC method in terms of STOI scores under the desired scenario. Significance: We confirmed the advantages of the proposed joint training criterion for the NMF-based VC. Moreover, we verified that the proposed JD-NMF can effectively improve the speech intelligibility scores of oral surgery patients. Objective: This paper focuses on machine learning based voice conversion (VC) techniques for improving the speech intelligibility of surgical patients who have had parts of their articulators removed. Because of the removal of parts of the articulator, a patient's speech may be distorted and difficult to understand. To overcome this problem, VC methods can be applied to convert the distorted speech such that it is clear and more intelligible. To design an effective VC method, two key points must be considered: 1) the amount of training data may be limited (because speaking for a long time is usually difficult for postoperative patients); 2) rapid conversion is desirable (for better communication). Methods: We propose a novel joint dictionary learning based non-negative matrix factorization (JD-NMF) algorithm. Compared to conventional VC techniques, JD-NMF can perform VC efficiently and effectively with only a small amount of training data. Results: The experimental results demonstrate that the proposed JD-NMF method not only achieves notably higher short-time objective intelligibility (STOI) scores (a standardized objective intelligibility evaluation metric) than those obtained using the original unconverted speech but is also significantly more efficient and effective than a conventional exemplar-based NMF VC method. Conclusion: The proposed JD-NMF method may outperform the state-of-the-art exemplar-based NMF VC method in terms of STOI scores under the desired scenario. Significance: We confirmed the advantages of the proposed joint training criterion for the NMF-based VC. Moreover, we verified that the proposed JD-NMF can effectively improve the speech intelligibility scores of oral surgery patients.

Working memory training in older adults: evidence of transfer and maintenance effects.

PubMed

Borella, Erika; Carretti, Barbara; Riboldi, Francesco; De Beni, Rossana

2010-12-01

Few studies have examined working memory (WM) training-related gains and their transfer and maintenance effects in older adults. This present research investigates the efficacy of a verbal WM training program in adults aged 65-75 years, considering specific training gains on a verbal WM (criterion) task as well as transfer effects on measures of visuospatial WM, short-term memory, inhibition, processing speed, and fluid intelligence. Maintenance of training benefits was evaluated at 8-month follow-up. Trained older adults showed higher performance than did controls on the criterion task and maintained this benefit after 8 months. Substantial general transfer effects were found for the trained group, but not for the control one. Transfer maintenance gains were found at follow-up, but only for fluid intelligence and processing speed tasks. The results are discussed in terms of cognitive plasticity in older adults. (c) 2010 APA, all rights reserved).

The Training Services Agency

ERIC Educational Resources Information Center

Holland, Geoffrey

1974-01-01

In a paper presented at the BACIE (British Association for Commercial and Industrial Education) national conference, the Training Services Agency director of planning and intelligence considers the agency's three major responsibilities: corrdinating the statutory industrial training boards, promoting training in other sectors, and administering…

Developing a Cognitive Model of Expert Performance for Ship Navigation Maneuvers in an Intelligent Tutoring System

DTIC Science & Technology

2010-03-01

nature of ship navigation and the requirements for the intelligent tutor presented unique challenges for development. This paper describes how the...the context of improving training. 1. Project Overview The Conning Officer Virtual Environment (COVE) is a ship-handling simulation system used...Corporation, 2009), is used to provide students with ship-handling training without the cost or risk to equipment of at-sea exercises. One downside

[Inductive reasoning and intelligence test performance--analysis of the manner of the effect of 2 thought training methods for children].

PubMed

Hager, W; Hasselhorn, M; Hübner, S

1995-10-01

For his training programs of inductive reasoning Klauer postulates a transfer effect to inductive thinking as well as to (performance in tests of) intelligence. As evidence for these claims, however, he uses the same data. That means the same tests are used to prove enhancement of inductive thinking and to prove transfer to performance in tests of intelligence. Moreover, Klauer's claim to train inductive thinking is criticized since better performances in at least some of the tests he administers can result due to enhancements in the area of visual perception. Finally, we ask what kind of effects the programs result in: Are they mere coaching effects or do the programs result in better performance due to enhanced competencies? The empirical evidence suggest that positive effects on inductive thinking do not last as long as perceptual competencies that are necessarily fostered when visual material is presented to children.

Contributions of Work-Related Stress and Emotional Intelligence to Teacher Engagement: Additive and Interactive Effects.

PubMed

Mérida-López, Sergio; Extremera, Natalio; Rey, Lourdes

2017-09-29

This study examined the additive and interactive effects of role stress and emotional intelligence for predicting engagement among 288 teachers. Emotional intelligence and engagement were positively associated. Role ambiguity and role conflict showed negative associations with vigor and dedication scores. The interaction of role ambiguity and emotional intelligence was significant in explaining engagement dimensions. Similar results were found considering overall teacher engagement. Emotional intelligence boosted engagement when the levels of role ambiguity were higher. Our findings suggest the need for future research examining the impact of job hindrances on the links between emotional intelligence and teachers' occupational well-being indicators. Finally, the implications for emotional intelligence training in education are discussed.

Asynchronous sampling of speech with some vocoder experimental results

NASA Technical Reports Server (NTRS)

Babcock, M. L.

1972-01-01

The method of asynchronously sampling speech is based upon the derivatives of the acoustical speech signal. The following results are apparent from experiments to date: (1) It is possible to represent speech by a string of pulses of uniform amplitude, where the only information contained in the string is the spacing of the pulses in time; (2) the string of pulses may be produced in a simple analog manner; (3) the first derivative of the original speech waveform is the most important for the encoding process; (4) the resulting pulse train can be utilized to control an acoustical signal production system to regenerate the intelligence of the original speech.

Disentangling the effects of working memory, language, parental education, and non-verbal intelligence on children’s mathematical abilities

PubMed Central

Pina, Violeta; Fuentes, Luis J.; Castillo, Alejandro; Diamantopoulou, Sofia

2014-01-01

It is assumed that children’s performance in mathematical abilities is influenced by several factors such as working memory (WM), verbal ability, intelligence, and socioeconomic status. The present study explored the contribution of those factors to mathematical performance taking a componential view of both WM and mathematics. We explored the existing relationship between different WM components (verbal and spatial) with tasks that make differential recruitment of the central executive, and simple and complex mathematical skills in a sample of 102 children in grades 4–6. The main findings point to a relationship between the verbal WM component and complex word arithmetic problems, whereas language and non-verbal intelligence were associated with knowledge of quantitative concepts and arithmetic ability. The spatial WM component was associated with the subtest Series, whereas the verbal component was with the subtest Concepts. The results also suggest a positive relationship between parental educational level and children’s performance on Quantitative Concepts. These findings suggest that specific cognitive skills might be trained in order to improve different aspects of mathematical ability. PMID:24847306

Predictors and correlations of emotional intelligence among medical students at King Abdulaziz University, Jeddah

PubMed Central

Ibrahim, Nahla Khamis; Algethmi, Wafaa Ali; Binshihon, Safia Mohammad; Almahyawi, Rawan Aesh; Alahmadi, Razan Faisal; Baabdullah, Maha Yousef

2017-01-01

Objectives: To determine the predictors of Emotional Intelligence (EI), and its relationship with academic performance, leadership capacity, self-efficacy and the perceived stress between medical students at King Abdulaziz University, Jeddah, Saudi Arabia. Methods: A cross-sectional study was done among 540 students selected through a multi-stage stratified random sampling method during 2015/2016. A standardized, confidential data collection sheet was used. It included Schutte Self-Report Emotional Intelligence (SSREI) scale, Authentic Leadership questionnaire, General Self-Efficacy Scale and the short version of Perceived Stress Scale (PSS-4). Both descriptive and inferential statistics were done, and a multiple linear regression model was constructed. Results: The predictors of high EI were gender (female), increasing age, and being non-smoker. EI was positively associated with better academic performance, leadership capacity and self-efficacy. It was negatively correlated to perceived-stress. Conclusion: Female gender, age, non-smoking were the predictors of high EI. Conduction of holistic training programs on EI, leadership and self-efficacy are recommended. More smoking control programs and stress management courses are required. PMID:29142542

Secondary Traumatic Stress and Burnout Among Refugee Resettlement Workers: The Role of Coping and Emotional Intelligence.

PubMed

Akinsulure-Smith, Adeyinka M; Espinosa, Adriana; Chu, Tracy; Hallock, Ryan

2018-04-01

To promote a better understanding of the impact of refugee resettlement work on refugee resettlement workers, this study examined the prevalence rates of deleterious mental health and occupational outcomes, such as secondary traumatic stress and burnout, among a sample of 210 refugee resettlement workers at six refugee resettlement agencies in the United States. The study also explored coping mechanisms used by service providers to manage work-related stress and the influence of such strategies and emotional intelligence on secondary traumatic stress and burnout. Our findings show that certain coping strategies, including self-distraction, humor, venting, substance use, behavioral disengagement, and self-blame, were strongly related to deleterious outcomes, βs = .18 to .38, ps = .023 to < .001. Emotional intelligence was a negative correlate for all outcomes, βs = -.25 to -.30, ps < .001, above and beyond the effects of trauma, coping styles, job, and demographic characteristics. These findings have potential implications for clinical training and organizational policy regarding refugee mental health. Copyright © 2018 International Society for Traumatic Stress Studies.

Development of the Russian matrix sentence test.

PubMed

Warzybok, Anna; Zokoll, Melanie; Wardenga, Nina; Ozimek, Edward; Boboshko, Maria; Kollmeier, Birger

2015-01-01

To develop the Russian matrix sentence test for speech intelligibility measurements in noise. Test development included recordings, optimization of speech material, and evaluation to investigate the equivalency of the test lists and training. For each of the 500 test items, the speech intelligibility function, speech reception threshold (SRT: signal-to-noise ratio, SNR, that provides 50% speech intelligibility), and slope was obtained. The speech material was homogenized by applying level corrections. In evaluation measurements, speech intelligibility was measured at two fixed SNRs to compare list-specific intelligibility functions. To investigate the training effect and establish reference data, speech intelligibility was measured adaptively. Overall, 77 normal-hearing native Russian listeners. The optimization procedure decreased the spread in SRTs across words from 2.8 to 0.6 dB. Evaluation measurements confirmed that the 16 test lists were equivalent, with a mean SRT of -9.5 ± 0.2 dB and a slope of 13.8 ± 1.6%/dB. The reference SRT, -8.8 ± 0.8 dB for the open-set and -9.4 ± 0.8 dB for the closed-set format, increased slightly for noise levels above 75 dB SPL. The Russian matrix sentence test is suitable for accurate and reliable speech intelligibility measurements in noise.

Toward an embedded training tool for Deep Space Network operations

NASA Technical Reports Server (NTRS)

Hill, Randall W., Jr.; Sturdevant, Kathryn F.; Johnson, W. L.

1993-01-01

There are three issues to consider when building an embedded training system for a task domain involving the operation of complex equipment: (1) how skill is acquired in the task domain; (2) how the training system should be designed to assist in the acquisition of the skill, and more specifically, how an intelligent tutor could aid in learning; and (3) whether it is feasible to incorporate the resulting training system into the operational environment. This paper describes how these issues have been addressed in a prototype training system that was developed for operations in NASA's Deep Space Network (DSN). The first two issues were addressed by building an executable cognitive model of problem solving and skill acquisition of the task domain and then using the model to design an intelligent tutor. The cognitive model was developed in Soar for the DSN's Link Monitor and Control (LMC) system; it led to several insights about learning in the task domain that were used to design an intelligent tutor called REACT that implements a method called 'impasse-driven tutoring'. REACT is one component of the LMC training system, which also includes a communications link simulator and a graphical user interface. A pilot study of the LMC training system indicates that REACT shows promise as an effective way for helping operators to quickly acquire expert skills.

An Emotional ANN (EANN) approach to modeling rainfall-runoff process

NASA Astrophysics Data System (ADS)

Nourani, Vahid

2017-01-01

This paper presents the first hydrological implementation of Emotional Artificial Neural Network (EANN), as a new generation of Artificial Intelligence-based models for daily rainfall-runoff (r-r) modeling of the watersheds. Inspired by neurophysiological form of brain, in addition to conventional weights and bias, an EANN includes simulated emotional parameters aimed at improving the network learning process. EANN trained by a modified version of back-propagation (BP) algorithm was applied to single and multi-step-ahead runoff forecasting of two watersheds with two distinct climatic conditions. Also to evaluate the ability of EANN trained by smaller training data set, three data division strategies with different number of training samples were considered for the training purpose. The overall comparison of the obtained results of the r-r modeling indicates that the EANN could outperform the conventional feed forward neural network (FFNN) model up to 13% and 34% in terms of training and verification efficiency criteria, respectively. The superiority of EANN over classic ANN is due to its ability to recognize and distinguish dry (rainless days) and wet (rainy days) situations using hormonal parameters of the artificial emotional system.

Tuberculosis control, and the where and why of artificial intelligence

PubMed Central

Falzon, Dennis; Thomas, Bruce V.; Temesgen, Zelalem; Sadasivan, Lal; Raviglione, Mario

2017-01-01

Countries aiming to reduce their tuberculosis (TB) burden by 2035 to the levels envisaged by the World Health Organization End TB Strategy need to innovate, with approaches such as digital health (electronic and mobile health) in support of patient care, surveillance, programme management, training and communication. Alongside the large-scale roll-out required for such interventions to make a significant impact, products must stay abreast of advancing technology over time. The integration of artificial intelligence into new software promises to make processes more effective and efficient, endowing them with a potential hitherto unimaginable. Users can benefit from artificial intelligence-enabled pattern recognition software for tasks ranging from reading radiographs to adverse event monitoring, sifting through vast datasets to personalise a patient's care plan or to customise training materials. Many experts forecast the imminent transformation of the delivery of healthcare services. We discuss how artificial intelligence and machine learning could revolutionise the management of TB. PMID:28656130

Classification of intelligence quotient via brainwave sub-band power ratio features and artificial neural network.

PubMed

Jahidin, A H; Megat Ali, M S A; Taib, M N; Tahir, N Md; Yassin, I M; Lias, S

2014-04-01

This paper elaborates on the novel intelligence assessment method using the brainwave sub-band power ratio features. The study focuses only on the left hemisphere brainwave in its relaxed state. Distinct intelligence quotient groups have been established earlier from the score of the Raven Progressive Matrices. Sub-band power ratios are calculated from energy spectral density of theta, alpha and beta frequency bands. Synthetic data have been generated to increase dataset from 50 to 120. The features are used as input to the artificial neural network. Subsequently, the brain behaviour model has been developed using an artificial neural network that is trained with optimized learning rate, momentum constant and hidden nodes. Findings indicate that the distinct intelligence quotient groups can be classified from the brainwave sub-band power ratios with 100% training and 88.89% testing accuracies. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Tuberculosis control, and the where and why of artificial intelligence.

PubMed

Doshi, Riddhi; Falzon, Dennis; Thomas, Bruce V; Temesgen, Zelalem; Sadasivan, Lal; Migliori, Giovanni Battista; Raviglione, Mario

2017-04-01

Countries aiming to reduce their tuberculosis (TB) burden by 2035 to the levels envisaged by the World Health Organization End TB Strategy need to innovate, with approaches such as digital health (electronic and mobile health) in support of patient care, surveillance, programme management, training and communication. Alongside the large-scale roll-out required for such interventions to make a significant impact, products must stay abreast of advancing technology over time. The integration of artificial intelligence into new software promises to make processes more effective and efficient, endowing them with a potential hitherto unimaginable. Users can benefit from artificial intelligence-enabled pattern recognition software for tasks ranging from reading radiographs to adverse event monitoring, sifting through vast datasets to personalise a patient's care plan or to customise training materials. Many experts forecast the imminent transformation of the delivery of healthcare services. We discuss how artificial intelligence and machine learning could revolutionise the management of TB.

Fire Play: ICCARUS--Intelligent Command and Control, Acquisition and Review Using Simulation

ERIC Educational Resources Information Center

Powell, James; Wright, Theo; Newland, Paul; Creed, Chris; Logan, Brian

2008-01-01

Is it possible to educate a fire officer to deal intelligently with the command and control of a major fire event he will never have experienced? The authors of this paper believe there is, and present here just one solution to this training challenge. It involves the development of an intelligent simulation based upon computer managed interactive…

Emotional Intelligence: A Quantitative Study of the Relationship among Academic Success Factors and Emotional Intelligence

ERIC Educational Resources Information Center

Iannucci, Brian A.

2013-01-01

Researchers have found a correlation between emotional intelligence (EI) and success in the workplace. As a result, many companies have invested a large amount of resources into EI testing during their hiring process. In the United States, corporations are spending over $33 billion on hiring, training, and development. In addition to the increase…

Transforming the Conflict in Afghanistan

DTIC Science & Technology

2011-09-01

Company Level Intelligence Cells, Civil Affairs teams, Economic and Political Intelligence Cells, SOICs , and other niche organizations should be...Intelligence Cells, SOICs , and other niche organizations should be harvested to inform VSCC training and other preparatory efforts. Technology should be...central government in Kabul has been most successful in controlling the country through provincial elites of various sorts who organized local men into

Emotional intelligence in sport and exercise: A systematic review.

PubMed

Laborde, S; Dosseville, F; Allen, M S

2016-08-01

This review targets emotional intelligence (EI) in sport and physical activity. We systematically review the available literature and offer a sound theoretical integration of differing EI perspectives (the tripartite model of EI) before considering applied practice in the form of EI training. Our review identified 36 studies assessing EI in an athletic or physical activity context. EI has most often been conceptualized as a trait. In the context of sport performance, we found that EI relates to emotions, physiological stress responses, successful psychological skill usage, and more successful athletic performance. In the context of physical activity, we found that trait EI relates to physical activity levels and positive attitudes toward physical activity. There was a shortage of research into the EI of coaches, officials, and spectators, non-adult samples, and longitudinal and experimental methods. The tripartite model proposes that EI operates on three levels - knowledge, ability, and trait - and predicts an interplay between the different levels of EI. We present this framework as a promising alternative to trait and ability EI conceptualizations that can guide applied research and professional practice. Further research into EI training, measurement validation and cultural diversity is recommended. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Prediction of the Wall Factor of Arbitrary Particle Settling through Various Fluid Media in a Cylindrical Tube Using Artificial Intelligence

PubMed Central

Li, Mingzhong; Xue, Jianquan; Li, Yanchao; Tang, Shukai

2014-01-01

Considering the influence of particle shape and the rheological properties of fluid, two artificial intelligence methods (Artificial Neural Network and Support Vector Machine) were used to predict the wall factor which is widely introduced to deduce the net hydrodynamic drag force of confining boundaries on settling particles. 513 data points were culled from the experimental data of previous studies, which were divided into training set and test set. Particles with various shapes were divided into three kinds: sphere, cylinder, and rectangular prism; feature parameters of each kind of particle were extracted; prediction models of sphere and cylinder using artificial neural network were established. Due to the little number of rectangular prism sample, support vector machine was used to predict the wall factor, which is more suitable for addressing the problem of small samples. The characteristic dimension was presented to describe the shape and size of the diverse particles and a comprehensive prediction model of particles with arbitrary shapes was established to cover all types of conditions. Comparisons were conducted between the predicted values and the experimental results. PMID:24772024

Prediction of the wall factor of arbitrary particle settling through various fluid media in a cylindrical tube using artificial intelligence.

PubMed

Li, Mingzhong; Zhang, Guodong; Xue, Jianquan; Li, Yanchao; Tang, Shukai

2014-01-01

Considering the influence of particle shape and the rheological properties of fluid, two artificial intelligence methods (Artificial Neural Network and Support Vector Machine) were used to predict the wall factor which is widely introduced to deduce the net hydrodynamic drag force of confining boundaries on settling particles. 513 data points were culled from the experimental data of previous studies, which were divided into training set and test set. Particles with various shapes were divided into three kinds: sphere, cylinder, and rectangular prism; feature parameters of each kind of particle were extracted; prediction models of sphere and cylinder using artificial neural network were established. Due to the little number of rectangular prism sample, support vector machine was used to predict the wall factor, which is more suitable for addressing the problem of small samples. The characteristic dimension was presented to describe the shape and size of the diverse particles and a comprehensive prediction model of particles with arbitrary shapes was established to cover all types of conditions. Comparisons were conducted between the predicted values and the experimental results.

The Effect of Spiritual Intelligence Training on Job Satisfaction of Psychiatric Nurses.

PubMed

Heydari, Abbas; Meshkinyazd, Ali; Soudmand, Parvaneh

2017-04-01

Objective: Nurses are the most important staff in the health care system, thus, their job satisfaction is important in nursing management. The present study aimed at determining the impact of teaching spiritual intelligence on the job satisfaction of psychiatric nurses. Method: The participants were divided into 2 groups by random allocation. Data were collected in 3 stages of before intervention, 4 weeks, and 8 weeks post intervention using Brayfield & Rother Job Satisfaction Questionnaire. Results: The results of this study revealed that the mean score of job satisfaction in the experimental group was 65.5±9.9 in the pre intervention stage, which increased to 69.8±6.3 one month after the intervention and to 72.5±8.9 in 2 months after the intervention, and it was significantly more than that of the control group. Conclusion: The job satisfaction rate of the control group decreased admirably in both 1 month and 2 months after the intervention stage. Thus, spiritual intelligence training is an effective method to increase job satisfaction, and it is suggested that managers consider spiritual intelligence training to increase job satisfaction in nurses.

Integrated Intelligent training and job aiding for combustion turbine engines

NASA Technical Reports Server (NTRS)

Mckeithan, Clifford M., Jr.; Quentin, George H.

1993-01-01

This paper describes an ongoing program to augment such an expert system gas turbine startup advisor, known as the EPRI SA VANT System, by including an intelligent training package. It will give a brief background on the SA VANT development and an overview of its evolution into a full-blown Gas Turbine Information System (GTIS) for rapid access of on-line documentation, diagnostics, and training. In particular, the paper will address: (1) the conversion of the knowledge base used by the SA VANT startup advisor so that it can be used for both training and job aiding; and (2) the hypertext-oriented user manuals being incorporated into the system for rapidly accessing on-line documentation at the job site.

Contributions of Work-Related Stress and Emotional Intelligence to Teacher Engagement: Additive and Interactive Effects

PubMed Central

2017-01-01

This study examined the additive and interactive effects of role stress and emotional intelligence for predicting engagement among 288 teachers. Emotional intelligence and engagement were positively associated. Role ambiguity and role conflict showed negative associations with vigor and dedication scores. The interaction of role ambiguity and emotional intelligence was significant in explaining engagement dimensions. Similar results were found considering overall teacher engagement. Emotional intelligence boosted engagement when the levels of role ambiguity were higher. Our findings suggest the need for future research examining the impact of job hindrances on the links between emotional intelligence and teachers’ occupational well-being indicators. Finally, the implications for emotional intelligence training in education are discussed. PMID:28961218

Urban transportation : challenges to widespread deployment of intelligent transportation systems : report to Congressional committees

DOT National Transportation Integrated Search

The federal government can take programmatic and financial actions to : promote the deployment of intelligent transportation systems. The : programmatic actions include providing technical assistance and training : to state and local officials, disse...

Children with autism show specific handwriting impairments

PubMed Central

Fuentes, Christina T.; Mostofsky, Stewart H.; Bastian, Amy J.

2009-01-01

Background: Handwriting skills, which are crucial for success in school, communication, and building children’s self-esteem, have been observed to be poor in individuals with autism. Little information exists on the handwriting of children with autism, without delineation of specific features that can contribute to impairments. As a result, the specific aspects of handwriting in which individuals with autism demonstrate difficulty remain unknown. Methods: A case-control study of handwriting samples from children with and without autism spectrum disorders (ASD) was performed using the Minnesota Handwriting Assessment. Samples were scored on an individual letter basis in 5 categories: legibility, form, alignment, size, and spacing. Subjects were also tested on the Wechsler Intelligence Scale for Children–IV and the Physical and Neurological Examination for Subtle (Motor) Signs. Results: We found that children with ASD do indeed show overall worse performance on a handwriting task than do age- and intelligence-matched controls. More specifically, children with ASD show worse quality of forming letters but do not show differences in their ability to correctly size, align, and space their letters. Within the ASD group, motor skills were significantly predictive of handwriting performance, whereas age, gender, IQ, and visuospatial abilities were not. Conclusions: We addressed how different elements of handwriting contribute to impairments observed in children with autism. Our results suggest that training targeting letter formation, in combination with general training of fine motor control, may be the best direction for improving handwriting performance in children with autism. GLOSSARY ADI-R = Autism Diagnostic Interview–Revised; ADOS-G = Autism Diagnostic Observation Schedule–Generic; ASD = autism spectrum disorders; DICA-IV = Diagnostic Interview for Children and Adolescents, 4th edition; DSM-IV = Diagnostic and Statistical Manual of Mental Disorders, 4th edition; FSIQ = full-scale IQ; PANESS = Physical and Neurological Examination for Subtle (Motor) Signs; PRI = Perceptual Reasoning Indices; WISC-IV = Wechsler Intelligence Scale for Children–IV. PMID:19901244

Audiomotor Perceptual Training Enhances Speech Intelligibility in Background Noise.

PubMed

Whitton, Jonathon P; Hancock, Kenneth E; Shannon, Jeffrey M; Polley, Daniel B

2017-11-06

Sensory and motor skills can be improved with training, but learning is often restricted to practice stimuli. As an exception, training on closed-loop (CL) sensorimotor interfaces, such as action video games and musical instruments, can impart a broad spectrum of perceptual benefits. Here we ask whether computerized CL auditory training can enhance speech understanding in levels of background noise that approximate a crowded restaurant. Elderly hearing-impaired subjects trained for 8 weeks on a CL game that, like a musical instrument, challenged them to monitor subtle deviations between predicted and actual auditory feedback as they moved their fingertip through a virtual soundscape. We performed our study as a randomized, double-blind, placebo-controlled trial by training other subjects in an auditory working-memory (WM) task. Subjects in both groups improved at their respective auditory tasks and reported comparable expectations for improved speech processing, thereby controlling for placebo effects. Whereas speech intelligibility was unchanged after WM training, subjects in the CL training group could correctly identify 25% more words in spoken sentences or digit sequences presented in high levels of background noise. Numerically, CL audiomotor training provided more than three times the benefit of our subjects' hearing aids for speech processing in noisy listening conditions. Gains in speech intelligibility could be predicted from gameplay accuracy and baseline inhibitory control. However, benefits did not persist in the absence of continuing practice. These studies employ stringent clinical standards to demonstrate that perceptual learning on a computerized audio game can transfer to "real-world" communication challenges. Copyright © 2017 Elsevier Ltd. All rights reserved.

Cogadh na Saoirse: British Intelligence Operations During the Anglo-Irish War (1916-1921)

DTIC Science & Technology

2010-05-21

managed secret service operations. In late 1919, the Irish government transferred responsibility for the secret service to BSS central headquarters...brothers. Intelligence overall suffered greatly as there was no office responsible for information management and analysis or collection guidance to the...trained soldiers able to manage HUMINT sources. Consequently, they often conducted intelligence gathering or source meetings on their own, and in

Does U.S. Army Humint Doctrine Achieve Its Objectives? What Have Iraq and Afghanistan Taught Us?

DTIC Science & Technology

2013-03-01

OSINT Open Source Intelligence PIR Priority Intelligence Requirements PLDC Primary Leadership Development Course PME Professional Military...Exploitation (DOCEX/DOMEX) Analysis, Open Source Intelligence ( OSINT ), Military Source Operations and Interrogations.8 The Army employs HUMINT in a...analysis, and OSINT , although important, are traditionally thought of as less critical than Interrogations or Source Operations. While training does

32 CFR 813.3 - Responsibilities.

Code of Federal Regulations, 2011 CFR

2011-07-01

..., bomb damage assessment, collateral intelligence, training, historical, public affairs, and other needs. (3) Sets combat training standards and develops programs for all Air Force COMCAM personnel (includes both formal classroom and field readiness training). (4) Coordinates and meets COMCAM needs in war...

DoD Civilian Training: Source, Content, Frequency and Cost

DTIC Science & Technology

1994-03-01

Intelligence School Charleston, SC, and the Fire School will move to Fort Huachuca, AZ, from portion of the Naval Technical Training Fort Devens , MA...Recruiting & Retention School 2 10 Fort Bliss, TX Air Defense Artillery 2 I 11 Fort Devens , MA Army Intelligence School 4 12 Fort Eustis, VA Aviation...17457 4385 Gigllng Road- 8th Floor , Fort Ord, CA 93941-5800 94 6 8 07A’ The Assistant Secretary of Defense for Personnel and Readiness issued a tasker

POINTER: Portable Intelligent Trainer for External Robotics

NASA Technical Reports Server (NTRS)

Kuiper, Hilbert; Rikken, Patrick J.

1994-01-01

Intelligent tutoring systems (ITS's) play an increasing role in training and education of people with different levels of skill and knowledge. As compared to conventional computer based training (CBT) an ITS provides more tailored instruction by trying to mimic the teaching behavior of a human instructor as much as possible and is therefore much more flexible. This paper starts with an introduction to ITS's, followed by the description of an ITS for training of an (astronaut) operator in monitoring and controlling robotic arm procedures. The robotic arm will be used for exchange of equipment between a space station and a space plane involving critical and accurate movements of the robotic arm. The ITS for this application, called Pointer, is developed by TNO Physics and Electronics Laboratory and is based upon an existing ITS that includes procedural training. Pointer has been developed on a workstation whereas the target platform was a portable computer. Therefore, a lot of attention had to be paid to scaling effects and keeping up with user friendliness of the much smaller user interface. Although the learning domain was the control of a robotic arm, it is clear that use of intelligent training technologies on a portable computer has many other applications (payload operations, operation control rooms, etc.). Training can occur at any time and place in an attractive and cost effective way.

Comparing the Effect of Thinking Maps Training Package Developed by the Thinking Maps Method on the Reading Performance of Dyslexic Students.

PubMed

Faramarzi, Salar; Moradi, Mohammadreza; Abedi, Ahmad

2018-06-01

The present study aimed to develop the thinking maps training package and compare its training effect with the thinking maps method on the reading performance of second and fifth grade of elementary school male dyslexic students. For this mixed method exploratory study, from among the above mentioned grades' students in Isfahan, 90 students who met the inclusion criteria were selected by multistage sampling and randomly assigned into six experimental and control groups. The data were collected by reading and dyslexia test and Wechsler Intelligence Scale for Children-fourth edition. The results of covariance analysis indicated a significant difference between the reading performance of the experimental (thinking maps training package and thinking maps method groups) and control groups ([Formula: see text]). Moreover, there were significant differences between the thinking maps training package group and thinking maps method group in some of the subtests ([Formula: see text]). It can be concluded that thinking maps training package and the thinking maps method exert a positive influence on the reading performance of dyslexic students; therefore, thinking maps can be used as an effective training and treatment method.

A simultaneous examination of two forms of working memory training: Evidence for near transfer only.

PubMed

Minear, Meredith; Brasher, Faith; Guerrero, Claudia Brandt; Brasher, Mandy; Moore, Andrew; Sukeena, Joshua

2016-10-01

The efficacy of working-memory training is a topic of considerable debate, with some studies showing transfer to measures such as fluid intelligence while others have not. We report the results of a study designed to examine two forms of working-memory training, one using a spatial n-back and the other a verbal complex span. Thirty-one undergraduates completed 4 weeks of n-back training and 32 completed 4 weeks of verbal complex span training. We also included two active control groups. One group trained on a non-adaptive version of n-back and the other trained on a real-time strategy video game. All participants completed pre- and post-training measures of a large battery of transfer tasks used to create composite measures of short-term and working memory in both verbal and visuo-spatial domains as well as verbal reasoning and fluid intelligence. We only found clear evidence for near transfer from the spatial n-back training to new forms of n-back, and this was the case for both adaptive and non-adaptive n-back.

The development of expertise on an intelligent tutoring system

NASA Technical Reports Server (NTRS)

Johnson, Debra Steele

1989-01-01

An initial examination was conducted of an Intelligent Tutoring System (ITS) developed for use in industry. The ITS, developed by NASA, simulated a satellite deployment task. More specifically, the PD (Payload Assist Module Deployment)/ICAT (Intelligent Computer Aided Training) System simulated a nominal Payload Assist Module (PAM) deployment. The development of expertise on this task was examined using three Flight Dynamics Officer (FDO) candidates who had no previous experience with this task. The results indicated that performance improved rapidly until Trial 5, followed by more gradual improvements through Trial 12. The performance dimensions measured included performance speed, actions completed, errors, help required, and display fields checked. Suggestions for further refining the software and for deciding when to expose trainees to more difficult task scenarios are discussed. Further, the results provide an initial demonstration of the effectiveness of the PD/ICAT system in training the nominal PAM deployment task and indicate the potential benefits of using ITS's for training other FDO tasks.

An intelligent simulation training system

NASA Technical Reports Server (NTRS)

Biegel, John E.

1990-01-01

The Department of Industrial Engineering at the University of Central Florida, Embry-Riddle Aeronautical University and General Electric (SCSD) have been funded by the State of Florida to build an Intelligent Simulation Training System. The objective was and is to make the system generic except for the domain expertise. Researchers accomplished this objective in their prototype. The system is modularized and therefore it is easy to make any corrections, expansions or adaptations. The funding by the state of Florida has exceeded $3 million over the past three years and through the 1990 fiscal year. UCF has expended in excess of 15 work years on the project. The project effort has been broken into three major tasks. General Electric provides the simulation. Embry-Riddle Aeronautical University provides the domain expertise. The University of Central Florida has constructed the generic part of the system which is comprised of several modules that perform the tutoring, evaluation, communication, status, etc. The generic parts of the Intelligent Simulation Training Systems (ISTS) are described.

Validity of transactional analysis and emotional intelligence in training nursing students

PubMed Central

WHITLEY-HUNTER, BRANDI L

2014-01-01

Introduction: Emotional intelligence (EI) is considered a critical component of a nurse’s characteristic trait which is known as a significant predictor of a person’s job performance and life success. Transactional Analysis (TA) plays a fundamental role in nurse-patient communication and managing emotions during difficult dialect with patients. The aim of this review is to discuss the framework of EI and TA, and how the combined theories can be utilized to further educate nurses and enhance the patient’s experience. Exploring the idea of combining EI, TA, and other theories and adding these addendums to the nursing curriculum may advance the empathy and communication skills of nursing students. Methods: The method used in this review is a literature search using databases, such as Medline, EBSCO, and Google Scholar, etc. to form a critical discussion of this area. Key words such as emotional intelligence, transactional analysis, nursing curriculum, and relating theoretical models were used to identify applicable documents. Four studies involving EI and TA were sampled. A combination of data collection tools, such as lecture series and intervention programs, were used to authenticate the results. Other instruments used were ego state questionnaires, empathy, and five point Likert scales. No study design or type of literature was excluded in healthcare to substantiate the application of EI and TA into the nursing curriculum. Results: Sixteen nurses attended a six-week psycho-education program using communication and empathy scales, and patient satisfaction surveys to improve their empathetic and communication skills. The result of the mean communication score (177.8±20) increased to (198.8±15) after training (p=0.001). The empathy score increased from 25.7±7 to 32.6±6 (p=0.001). The overall result reflects that training can improve emergency nurse’s communication and empathy skills. Conclusion: The data suggests there are under-researched theories with futuristic topics that have value to the nursing community. Suitable evaluation of these theories is vital to nursing education. Implementation and training for nursing students and existing nurses may help shift the culture of medical education ahead by creating a more educated and empathetic work environment. PMID:25512937

Intelligent Instructional Systems in Military Training.

ERIC Educational Resources Information Center

Fletcher, J.D.; Zdybel, Frank

Intelligent instructional systems can be distinguished from more conventional approaches by the automation of instructional interaction and choice of strategy. This approach promises to reduce the costs of instructional materials preparation and to increase the adaptability and individualization of the instruction delivered. Tutorial simulation…

Computational intelligence and neuromorphic computing potential for cybersecurity applications

NASA Astrophysics Data System (ADS)

Pino, Robinson E.; Shevenell, Michael J.; Cam, Hasan; Mouallem, Pierre; Shumaker, Justin L.; Edwards, Arthur H.

2013-05-01

In today's highly mobile, networked, and interconnected internet world, the flow and volume of information is overwhelming and continuously increasing. Therefore, it is believed that the next frontier in technological evolution and development will rely in our ability to develop intelligent systems that can help us process, analyze, and make-sense of information autonomously just as a well-trained and educated human expert. In computational intelligence, neuromorphic computing promises to allow for the development of computing systems able to imitate natural neurobiological processes and form the foundation for intelligent system architectures.

Intelligent computer aided training systems in the real world: Making the technology accessible to the educational mainstream

NASA Technical Reports Server (NTRS)

Kovarik, Madeline

1993-01-01

Intelligent computer aided training systems hold great promise for the application of this technology to mainstream education and training. Yet, this technology, which holds such a vast potential impact for the future of education and training, has had little impact beyond the enclaves of government research labs. This is largely due to the inaccessibility of the technology to those individuals in whose hands it can have the greatest impact, teachers and educators. Simply throwing technology at an educator and expecting them to use it as an effective tool is not the answer. This paper provides a background into the use of technology as a training tool. MindLink, developed by HyperTech Systems, provides trainers with a powerful rule-based tool that can be integrated directly into a Windows application. By embedding expert systems technology it becomes more accessible and easier to master.

iBEST: intelligent Balance assessment and Stability Training system using smartphone.

PubMed

Wai, Aung Aung Phyo; Duc, Pham Duy; Syin, Chan; Zhang, Haihong

2014-01-01

Patients with postural instability could lead to falls and injuries while walking due to balance disorders. So those patients need regular balance training and evaluation to improve and examine balance deficiencies. But many do not notice such balance issues; resulting lack of timely preventive measures. This shows the needs of affordable and accessible solution for balance training and assessment. So iBEST (intelligent Balance assessment and Stability Training) is proposed enabling to train and assess balance conveniently anywhere anytime. Moreover, therapists can remotely evaluate and manage their recovery progress. These benefits can be realized leveraging sensors from smartphone, cloud-based data analytics and web applications. iBEST employs sensorised automated balance assessment in digitizing Berg Balance Scale (BBS) clinical risk assessment tool. The initial feasibility study showed average accuracy of 90.22% using smartphone in classifying the specified BBS test items.

Digital intelligent booster for DCC miniature train networks

NASA Astrophysics Data System (ADS)

Ursu, M. P.; Condruz, D. A.

2017-08-01

Modern miniature trains are now driven by means of the DCC (Digital Command and Control) system, which allows the human operator or a personal computer to launch commands to each individual train or even to control different features of the same train. The digital command station encodes these commands and sends them to the trains by means of electrical pulses via the rails of the railway network. Due to the development of the miniature railway network, it may happen that the power requirement of the increasing number of digital locomotives, carriages and accessories exceeds the nominal output power of the digital command station. This digital intelligent booster relieves the digital command station from powering the entire railway network all by itself, and it automatically handles the multiple powered sections of the network. This electronic device is also able to detect and process short-circuits and overload conditions, without the intervention of the digital command station.

Patient positioning using artificial intelligence neural networks, trained magnetic field sensors and magnetic implants.

PubMed

Lennernäs, B; Edgren, M; Nilsson, S

1999-01-01

The purpose of this study was to evaluate the precision of a sensor and to ascertain the maximum distance between the sensor and the magnet, in a magnetic positioning system for external beam radiotherapy using a trained artificial intelligence neural network for position determination. Magnetic positioning for radiotherapy, previously described by Lennernäs and Nilsson, is a functional technique, but it is time consuming. The sensors are large and the distance between the sensor and the magnetic implant is limited to short distances. This paper presents a new technique for positioning, using an artificial intelligence neural network, which was trained to position the magnetic implant with at least 0.5 mm resolution in X and Y dimensions. The possibility of using the system for determination in the Z dimension, that is the distance between the magnet and the sensor, was also investigated. After training, this system positioned the magnet with a mean error of maximum 0.15 mm in all dimensions and up to 13 mm from the sensor. Of 400 test positions, 8 determinations had an error larger than 0.5 mm, maximum 0.55 mm. A position was determined in approximately 0.01 s.

Teachers' Emotional Intelligence: The Impact of Training

ERIC Educational Resources Information Center

Dolev, Nina; Leshem, Shosh

2016-01-01

A growing number of studies have suggested that teachers' personal competencies, and more specifically Emotional Intelligence (EI), are particularly important for teacher effectiveness. Recently, there has also been a growing recognition of the importance of social-emotional competencies to students' learning and academic achievement. However,…

Intelligence Studies

ERIC Educational Resources Information Center

Monaghan, Peter

2009-01-01

To make an academic study of matters inherently secret and potentially explosive seems a tall task. But a growing number of scholars are drawn to understanding spycraft. The interdisciplinary field of intelligence studies is mushrooming, as scholars trained in history, international studies, and political science examine such subjects as the…

Teachers and artificial intelligence. The Logo connection.

PubMed

Merbler, J B

1990-12-01

This article describes a three-phase program for training special education teachers to teach Logo and artificial intelligence. Logo is derived from the LISP computer language and is relatively simple to learn and use, and it is argued that these factors make it an ideal tool for classroom experimentation in basic artificial intelligence concepts. The program trains teachers to develop simple demonstrations of artificial intelligence using Logo. The material that the teachers learn to teach is suitable as an advanced level topic for intermediate- through secondary-level students enrolled in computer competency or similar courses. The material emphasizes problem-solving and thinking skills using a nonverbal expressive medium (Logo), thus it is deemed especially appropriate for hearing-impaired children. It is also sufficiently challenging for academically talented children, whether hearing or deaf. Although the notion of teachers as programmers is controversial, Logo is relatively easy to learn, has direct implications for education, and has been found to be an excellent tool for empowerment-for both teachers and children.

An intelligent tutoring system for space shuttle diagnosis

NASA Technical Reports Server (NTRS)

Johnson, William B.; Norton, Jeffrey E.; Duncan, Phillip C.

1988-01-01

An Intelligent Tutoring System (ITS) transcends conventional computer-based instruction. An ITS is capable of monitoring and understanding student performance thereby providing feedback, explanation, and remediation. This is accomplished by including models of the student, the instructor, and the expert technician or operator in the domain of interest. The space shuttle fuel cell is the technical domain for the project described below. One system, Microcomputer Intelligence for Technical Training (MITT), demonstrates that ITS's can be developed and delivered, with a reasonable amount of effort and in a short period of time, on a microcomputer. The MITT system capitalizes on the diagnostic training approach called Framework for Aiding the Understanding of Logical Troubleshooting (FAULT) (Johnson, 1987). The system's embedded procedural expert was developed with NASA's C-Language Integrated Production (CLIP) expert system shell (Cubert, 1987).

Electropalatography in home training of retracted articulation in a Swedish child with cleft palate: effect on articulation pattern and speech.

PubMed

Lohmander, Anette; Henriksson, Cecilia; Havstam, Christina

2010-12-01

The aim was to evaluate the effectiveness of electropalatography (EPG) in home training of persistent articulation errors in an 11-year-old Swedish girl born with isolated cleft palate. The /t/ and /s/ sounds were trained in a single subject design across behaviours during an eight month period using a portable training unit (PTU). Both EPG analysis and perceptual analysis showed an improvement in the production of /t/ and /s/ in words and sentences after therapy. Analysis of tongue-contact patterns showed that the participant had more normal articulatory patterns of /t/ and /s/ after just 2 months (after approximately 8 hours of training) respectively. No statistically significant transfer by means of intelligibility in connected speech was found. The present results show that EPG home training can be a sufficient method for treating persistent speech disorders associated with cleft palate. Methods for transfer from function (articulation) to activity (intelligibility) need to be explored.

Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach

NASA Astrophysics Data System (ADS)

Li, Tongwen; Shen, Huanfeng; Yuan, Qiangqiang; Zhang, Xuechen; Zhang, Liangpei

2017-12-01

Fusing satellite observations and station measurements to estimate ground-level PM2.5 is promising for monitoring PM2.5 pollution. A geo-intelligent approach, which incorporates geographical correlation into an intelligent deep learning architecture, is developed to estimate PM2.5. Specifically, it considers geographical distance and spatiotemporally correlated PM2.5 in a deep belief network (denoted as Geoi-DBN). Geoi-DBN can capture the essential features associated with PM2.5 from latent factors. It was trained and tested with data from China in 2015. The results show that Geoi-DBN performs significantly better than the traditional neural network. The out-of-sample cross-validation R2 increases from 0.42 to 0.88, and RMSE decreases from 29.96 to 13.03 μg/m3. On the basis of the derived PM2.5 distribution, it is predicted that over 80% of the Chinese population live in areas with an annual mean PM2.5 of greater than 35 μg/m3. This study provides a new perspective for air pollution monitoring in large geographic regions.

Investigation of a Neural Network Implementation of a TCP Packet Anomaly Detection System

DTIC Science & Technology

2004-05-01

reconnatre les nouvelles variantes d’attaque. Les réseaux de neurones artificiels (ANN) ont les capacités d’apprendre à partir de schémas et de...Computational Intelligence Techniques in Intrusion Detection Systems. In IASTED International Conference on Neural Networks and Computational Intelligence , pp...Neural Network Training: Overfitting May be Harder than Expected. In Proceedings of the Fourteenth National Conference on Artificial Intelligence , AAAI-97

CASTE (Course Assembly System and Tutorial Environment) and CVI: (Combat Vehicle Identification) A First Application of an Intelligent Tutorial System to Combat Vehicle Identification.

DTIC Science & Technology

1984-09-01

based training systems and hence to realize an embedded trainer that is both intelligent and effective . The o(Continued) DO,; FOAM AM 71 1ឹ...Performance Effectiveness and Simulation Approved for public releate; dlitribution unlimited iii &a3laAfc*ia £&&etaL* ■’—’,£-«.■£./■.,’-f...oriented approaches to computer-based training systems and hence realise an embedded trainer that is both intelli- gent and effective . To this end

Emotional Intelligence and Simulation.

PubMed

McKinley, Sophia K; Phitayakorn, Roy

2015-08-01

Emotional intelligence (EI) is an established concept in the business literature with evidence that it is an important factor in determining career achievement. There is increasing interest in the role that EI has in medical training, but it is still a nascent field. This article reviews the EI literature most relevant to surgical training and proposes that simulation offers many benefits to the development of EI. Although there are many unanswered questions, it is expected that future research will demonstrate the effectiveness of using simulation to develop EI within surgery. Copyright © 2015 Elsevier Inc. All rights reserved.

Intelligent Diagnostic Assistant for Complicated Skin Diseases through C5's Algorithm.

PubMed

Jeddi, Fatemeh Rangraz; Arabfard, Masoud; Kermany, Zahra Arab

2017-09-01

Intelligent Diagnostic Assistant can be used for complicated diagnosis of skin diseases, which are among the most common causes of disability. The aim of this study was to design and implement a computerized intelligent diagnostic assistant for complicated skin diseases through C5's Algorithm. An applied-developmental study was done in 2015. Knowledge base was developed based on interviews with dermatologists through questionnaires and checklists. Knowledge representation was obtained from the train data in the database using Excel Microsoft Office. Clementine Software and C5's Algorithms were applied to draw the decision tree. Analysis of test accuracy was performed based on rules extracted using inference chains. The rules extracted from the decision tree were entered into the CLIPS programming environment and the intelligent diagnostic assistant was designed then. The rules were defined using forward chaining inference technique and were entered into Clips programming environment as RULE. The accuracy and error rates obtained in the training phase from the decision tree were 99.56% and 0.44%, respectively. The accuracy of the decision tree was 98% and the error was 2% in the test phase. Intelligent diagnostic assistant can be used as a reliable system with high accuracy, sensitivity, specificity, and agreement.

Intelligent Prediction of Fan Rotation Stall in Power Plants Based on Pressure Sensor Data Measured In-Situ

PubMed Central

Xu, Xiaogang; Wang, Songling; Liu, Jinlian; Liu, Xinyu

2014-01-01

Blower and exhaust fans consume over 30% of electricity in a thermal power plant, and faults of these fans due to rotation stalls are one of the most frequent reasons for power plant outage failures. To accurately predict the occurrence of fan rotation stalls, we propose a support vector regression machine (SVRM) model that predicts the fan internal pressures during operation, leaving ample time for rotation stall detection. We train the SVRM model using experimental data samples, and perform pressure data prediction using the trained SVRM model. To prove the feasibility of using the SVRM model for rotation stall prediction, we further process the predicted pressure data via wavelet-transform-based stall detection. By comparison of the detection results from the predicted and measured pressure data, we demonstrate that the SVRM model can accurately predict the fan pressure and guarantee reliable stall detection with a time advance of up to 0.0625 s. This superior pressure data prediction capability leaves significant time for effective control and prevention of fan rotation stall faults. This model has great potential for use in intelligent fan systems with stall prevention capability, which will ensure safe operation and improve the energy efficiency of power plants. PMID:24854057

Application of adaptive boosting to EP-derived multilayer feed-forward neural networks (MLFN) to improve benign/malignant breast cancer classification

NASA Astrophysics Data System (ADS)

Land, Walker H., Jr.; Masters, Timothy D.; Lo, Joseph Y.; McKee, Dan

2001-07-01

A new neural network technology was developed for improving the benign/malignant diagnosis of breast cancer using mammogram findings. A new paradigm, Adaptive Boosting (AB), uses a markedly different theory in solutioning Computational Intelligence (CI) problems. AB, a new machine learning paradigm, focuses on finding weak learning algorithm(s) that initially need to provide slightly better than random performance (i.e., approximately 55%) when processing a mammogram training set. Then, by successive development of additional architectures (using the mammogram training set), the adaptive boosting process improves the performance of the basic Evolutionary Programming derived neural network architectures. The results of these several EP-derived hybrid architectures are then intelligently combined and tested using a similar validation mammogram data set. Optimization focused on improving specificity and positive predictive value at very high sensitivities, where an analysis of the performance of the hybrid would be most meaningful. Using the DUKE mammogram database of 500 biopsy proven samples, on average this hybrid was able to achieve (under statistical 5-fold cross-validation) a specificity of 48.3% and a positive predictive value (PPV) of 51.8% while maintaining 100% sensitivity. At 97% sensitivity, a specificity of 56.6% and a PPV of 55.8% were obtained.

Narrative Balance Management in an Intelligent Biosafety Training Application for Improving User Performance

ERIC Educational Resources Information Center

Alvarez, Nahum; Sanchez-Ruiz, Antonio; Cavazza, Marc; Shigematsu, Mika; Prendinger, Helmut

2015-01-01

The use of three-dimensional virtual environments in training applications supports the simulation of complex scenarios and realistic object behaviour. While these environments have the potential to provide an advanced training experience to students, it is difficult to design and manage a training session in real time due to the number of…

No Evidence of Intelligence Improvement after Working Memory Training: A Randomized, Placebo-Controlled Study

ERIC Educational Resources Information Center

Redick, Thomas S.; Shipstead, Zach; Harrison, Tyler L.; Hicks, Kenny L.; Fried, David E.; Hambrick, David Z.; Kane, Michael J.; Engle, Randall W.

2013-01-01

Numerous recent studies seem to provide evidence for the general intellectual benefits of working memory training. In reviews of the training literature, Shipstead, Redick, and Engle (2010, 2012) argued that the field should treat recent results with a critical eye. Many published working memory training studies suffer from design limitations…

Characteristics of an ITS that evolves from tutor to operator's assistant. [intelligent tutoring system

NASA Technical Reports Server (NTRS)

Chu, R. W.; Mitchell, C. M.; Govindaraj, T.

1989-01-01

This paper discusses the motivation and goals of a research project which addresses the problems and issues of operator training in complex engineering sytems. The research proposes a tutor/aid paradigm for the design of an intelligent tutoring system (ITS) that evolves from a tutor to an operator's assistant for supervisory control of complex dynamic systems. Characteristics of an intelligent tutoring/aiding system are identified with respect to the representation of domain knowledge, the tutor's pedagogical structure, and the student knowledge representation. The research represents a first step in the design of an intelligent complex dynamic systems.

How to Teach Emotional Intelligence Skills in IT Project Management

ERIC Educational Resources Information Center

Connolly, Amy J.; Reinicke, Bryan

2017-01-01

High emotional intelligence ("EQ") is considered one of the greatest strengths of an alpha project manager, yet undergraduate project management students are not directly trained in EQ soft skills such as communication, politics and teamwork. This article describes examples of active learning exercises implemented in an undergraduate IT…

Successful Graduate Students: The Roles of Personality Traits and Emotional Intelligence

ERIC Educational Resources Information Center

Grehan, Patrick M.; Flanagan, Rosemary; Malgady, Robert G.

2011-01-01

Given the complex role of school psychologists, it is in the interest of stakeholders to identify characteristics related to student success in graduate training, which is suggestive of their effectiveness as practitioners. This study explores the relationship of personality traits and Emotional Intelligence (EI) to graduate students' performance…

Associations of Early Developmental Milestones with Adult Intelligence

ERIC Educational Resources Information Center

Flensborg-Madsen, Trine; Mortensen, Erik L.

2018-01-01

The study investigated whether age at attainment of 20 developmental milestones within the areas of language, walking, eating, dressing, social interaction, and toilet training was associated with adult intelligence. Mothers of 821 children of the Copenhagen Perinatal Cohort recorded 20 developmental milestones at a 3-year examination, and all…

Emotional Intelligence and Medical Professionalism

ERIC Educational Resources Information Center

Zayapragassarazan, Z.; Kumar, Santosh

2011-01-01

Studies have shown that IQ alone does not contribute to the professional success of medical professionals. Professionals who are trained to be clinically competent, but have inadequate social skills for practice have proved to be less successful in their profession. Emotional intelligence (EI), which has already proved to be a key attribute for…

Reel Leadership II: Getting Emotional at the Movies

ERIC Educational Resources Information Center

Graham, T. Scott; Ackermann, J. Cooper; Maxwell, Kristi K.

2004-01-01

Emotional intelligence (EI) is emerging as an area of interest in leadership development. Recent research stresses how valuable strong EI skills are to the success of the person, team, organization, and society. Unlike IQ, emotional intelligence skills can be improved with focused training, coaching, and lifespan experiences. Effectively used,…

Computer Assisted Instructional Design for Computer-Based Instruction. Final Report. Working Papers.

ERIC Educational Resources Information Center

Russell, Daniel M.; Pirolli, Peter

Recent advances in artificial intelligence and the cognitive sciences have made it possible to develop successful intelligent computer-aided instructional systems for technical and scientific training. In addition, computer-aided design (CAD) environments that support the rapid development of such computer-based instruction have also been recently…

Developing an Intelligent Computer-Aided Trainer

NASA Technical Reports Server (NTRS)

Hua, Grace

1990-01-01

The Payload-assist module Deploys/Intelligent Computer-Aided Training (PD/ICAT) system was developed as a prototype for intelligent tutoring systems with the intention of seeing PD/ICAT evolve and produce a general ICAT architecture and development environment that can be adapted by a wide variety of training tasks. The proposed architecture is composed of a user interface, a domain expert, a training session manager, a trainee model and a training scenario generator. The PD/ICAT prototype was developed in the LISP environment. Although it has been well received by its peers and users, it could not be delivered toe its end users for practical use because of specific hardware and software constraints. To facilitate delivery of PD/ICAT to its users and to prepare for a more widely accepted development and delivery environment for future ICAT applications, we have ported this training system to a UNIX workstation and adopted use of a conventional language, C, and a C-based rule-based language, CLIPS. A rapid conversion of the PD/ICAT expert system to CLIPS was possible because the knowledge was basically represented as a forward chaining rule base. The resulting CLIPS rule base has been tested successfully in other ICATs as well. Therefore, the porting effort has proven to be a positive step toward our ultimate goal of building a general purpose ICAT development environment.

Artificial Intelligence: An Analysis of Potential Applications to Training, Performance Measurement, and Job Performance Aiding.

DTIC Science & Technology

1983-09-01

AD-Ali33 592 ARTIFICIAL INTELLIGENCE: AN ANALYSIS OF POTENTIAL 1/1 APPLICATIONS TO TRAININ..(U) DENVER RESEARCH INST CO JRICHARDSON SEP 83 AFHRL-TP...83-28 b ’ 3 - 4. TITLE (aied Suhkie) 5. TYPE OF REPORT & PERIOD COVERED ARTIFICIAL INTEL11GENCE: AN ANALYSIS OF Interim POTENTIAL APPLICATIONS TO...8217 sde if neceseamy end ides*f by black naumber) artificial intelligence military research * computer-aided diagnosis performance tests computer

Prediction of Marital Satisfaction Based on Emotional Intelligence in Postmenopausal Women.

PubMed

Heidari, Mohammad; Shahbazi, Sara; Ghafourifard, Mansour; Ali Sheikhi, Rahim

2017-12-01

This study was coperinducted with the aim of prediction of marital satisfaction based on emotional intelligence for postmenopausal women. This cross-sectional study was the descriptive-correlation and with a sample size of 134 people to predict marital satisfaction based on emotional intelligence for postmenopausal women was conducted in the Borujen city. The subjects were selected by convenience sampling. Data collection tools included an emotional intelligence questionnaire (Bar-on) and Enrich marital satisfaction questionnaire. The results of this study showed a significant positive relationship between marital satisfaction and emotional intelligence ( P < 0.05, r = 0.25). Also, regression analysis showed that emotional intelligence ( β = 0.31) can predict positively and significantly marital satisfaction. Due to the positive relationship between emotional intelligence and marital satisfaction, adequacy of emotional intelligence is improved as important structural in marital satisfaction. So it seems that can with measuring emotional intelligence in reinforced marital satisfaction during menopause, done appropriate action.

Training and Personnel Systems Technology R and D Program Description FY 93

DTIC Science & Technology

1992-07-24

instructional strategies provide the best training in ICAT applications, and (c) demonstration of microcomputer authoring techniques for rapid development...learning strategies for language training, (b) develop a behavioral taxonomy to evaluate Military Intelligence (MI) performance and to characterize the...training requirements for collective tasks. In FY93, plans are to: (a) develop training strategies for sustaining command and control skills, and (b

Does Wechsler Intelligence Scale administration and scoring proficiency improve during assessment training?

PubMed

Platt, Tyson L; Zachar, Peter; Ray, Glen E; Lobello, Steven G; Underhill, Andrea T

2007-04-01

Studies have found that Wechsler scale administration and scoring proficiency is not easily attained during graduate training. These findings may be related to methodological issues. Using a single-group repeated measures design, this study documents statistically significant, though modest, error reduction on the WAIS-III and WISC-III during a graduate course in assessment. The study design does not permit the isolation of training factors related to error reduction, or assessment of whether error reduction is a function of mere practice. However, the results do indicate that previous study findings of no or inconsistent improvement in scoring proficiency may have been the result of methodological factors. Implications for teaching individual intelligence testing and further research are discussed.

Can Interactive Working Memory Training Improve Learning?

ERIC Educational Resources Information Center

Alloway, Tracy

2012-01-01

Background: Working memory is linked to learning outcomes and there is emerging evidence that training working memory can yield gains in working memory and fluid intelligence. Aims: The aim of the present study was to investigate whether interactive working memory training would transfer to acquired cognitive skills, such as vocabulary and…

Adaptive Technologies for Training and Education

ERIC Educational Resources Information Center

Durlach, Paula J., Ed; Lesgold, Alan M., Ed.

2012-01-01

This edited volume provides an overview of the latest advancements in adaptive training technology. Intelligent tutoring has been deployed for well-defined and relatively static educational domains such as algebra and geometry. However, this adaptive approach to computer-based training has yet to come into wider usage for domains that are less…

The Application of Artificial Intelligence Principles to Teaching and Training

ERIC Educational Resources Information Center

Shaw, Keith

2008-01-01

This paper compares and contrasts the use of AI principles in industrial training with more normal computer-based training (CBT) approaches. A number of applications of CBT are illustrated (for example simulations, tutorial presentations, fault diagnosis, management games, industrial relations exercises) and compared with an alternative approach…

Emotional Intelligence and Cognitive Moral Development in Undergraduate Business Students

ERIC Educational Resources Information Center

McBride, Elizabeth A.

2010-01-01

This study examines relationships between emotional intelligence (EI) and cognitive moral development (CMD) in undergraduate business students. The ability model of emotional intelligence was used in this study, which evaluated possible relationships between EI and CMD in a sample of 82 undergraduate business students. The sample population was…

Intelligent Motion and Interaction Within Virtual Environments

NASA Technical Reports Server (NTRS)

Ellis, Stephen R. (Editor); Slater, Mel (Editor); Alexander, Thomas (Editor)

2007-01-01

What makes virtual actors and objects in virtual environments seem real? How can the illusion of their reality be supported? What sorts of training or user-interface applications benefit from realistic user-environment interactions? These are some of the central questions that designers of virtual environments face. To be sure simulation realism is not necessarily the major, or even a required goal, of a virtual environment intended to communicate specific information. But for some applications in entertainment, marketing, or aspects of vehicle simulation training, realism is essential. The following chapters will examine how a sense of truly interacting with dynamic, intelligent agents may arise in users of virtual environments. These chapters are based on presentations at the London conference on Intelligent Motion and Interaction within a Virtual Environments which was held at University College, London, U.K., 15-17 September 2003.

Working memory training and transfer in older adults: effects of age, baseline performance, and training gains.

PubMed

Zinke, Katharina; Zeintl, Melanie; Rose, Nathan S; Putzmann, Julia; Pydde, Andrea; Kliegel, Matthias

2014-01-01

Recent studies suggest that working memory training may benefit older adults; however, findings regarding training and transfer effects are mixed. The current study aimed to investigate the effects of a process-based training intervention in a diverse sample of older adults and explored possible moderators of training and transfer effects. For that purpose, 80 older adults (65-95 years) were assigned either to a training group that worked on visuospatial, verbal, and executive working memory tasks for 9 sessions over 3 weeks or to a control group. Performance on trained and transfer tasks was assessed in all participants before and after the training period, as well as at a 9-month follow-up. Analyses revealed significant training effects in all 3 training tasks in trained participants relative to controls, as well as near transfer to a verbal working memory task and far transfer to a fluid intelligence task. Encouragingly, all training effects and the transfer effect to verbal working memory were stable at the 9-month follow-up session. Further analyses revealed that training gains were predicted by baseline performance in training tasks and (to a lesser degree) by age. Gains in transfer tasks were predicted by age and by the amount of improvement in the trained tasks. These findings suggest that cognitive plasticity is preserved over a large range of old age and that even a rather short training regime can lead to (partly specific) training and transfer effects. However, baseline performance, age, and training gains moderate the amount of plasticity. PsycINFO Database Record (c) 2014 APA, all rights reserved.

A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence.

PubMed

Hill, W D; Marioni, R E; Maghzian, O; Ritchie, S J; Hagenaars, S P; McIntosh, A M; Gale, C R; Davies, G; Deary, I J

2018-01-11

Intelligence, or general cognitive function, is phenotypically and genetically correlated with many traits, including a wide range of physical, and mental health variables. Education is strongly genetically correlated with intelligence (r g  = 0.70). We used these findings as foundations for our use of a novel approach-multi-trait analysis of genome-wide association studies (MTAG; Turley et al. 2017)-to combine two large genome-wide association studies (GWASs) of education and intelligence, increasing statistical power and resulting in the largest GWAS of intelligence yet reported. Our study had four goals: first, to facilitate the discovery of new genetic loci associated with intelligence; second, to add to our understanding of the biology of intelligence differences; third, to examine whether combining genetically correlated traits in this way produces results consistent with the primary phenotype of intelligence; and, finally, to test how well this new meta-analytic data sample on intelligence predicts phenotypic intelligence in an independent sample. By combining datasets using MTAG, our functional sample size increased from 199,242 participants to 248,482. We found 187 independent loci associated with intelligence, implicating 538 genes, using both SNP-based and gene-based GWAS. We found evidence that neurogenesis and myelination-as well as genes expressed in the synapse, and those involved in the regulation of the nervous system-may explain some of the biological differences in intelligence. The results of our combined analysis demonstrated the same pattern of genetic correlations as those from previous GWASs of intelligence, providing support for the meta-analysis of these genetically-related phenotypes.

A longitudinal study of emotional intelligence in graduate nurse anesthesia students

PubMed Central

Collins, Shawn; Andrejco, Kristin

2015-01-01

Objective: Emotional intelligence (EI) is an important component not only for success in the nurse anesthesia (NA) profession, but as a NA student as well. Using the ability-based EI model, the purpose of this was to examine the difference in EI between the first semester and last semester of NA training programs. Methods: First semester NA students completed the online Mayer-Salovey-Caruso Emotional Intelligence Test V2.0 EI instrument, and then the same students repeated the instrument in their last (7th) semester. Results: There was a statistically significant correlation between overall EI and long-term overall EI (P = 0.000), reasoning area and long-term reasoning area (P = 0.035), experiencing area (P = 0.000) and long-term experiencing area, perceiving branch and long-term perceiving branch (P = 0.000), using and long-term using branch (P = 0.000), and the managing branch and long-term managing branch (P = 0.026). The correlation between the understanding branch and the long-term understanding branch was not statistically significant (P < 0.157). The paired sample t-test demonstrated no statistically significant change (n = 34) in overall EI, the two areas scores, or the four-branch scores between the first semester and the last semester of a NA training program. Conclusions: This longitudinal study shows the lack of EI change in NA students over time. Thus, no change in EI occurs as a result of transitioning through a NA program based on the accrediting body's standardized curriculum, but the results helped the researcher provide useful data to inform future research on the use of EI measures as predictors of NA program success. PMID:27981095

MACH 3: Past and future approaches to intelligent tutoring

NASA Technical Reports Server (NTRS)

Acchione-Noel, Sylvia; Psotka, Joseph

1993-01-01

In 1986, the U.S. Army Research Institute created an intelligent tutoring system as a proof-of-concept for artificial intelligence applications in Army training. The Maintenance Aid Computer HAWK Intelligent Institutional Instructor (MACH 3) taught student mechanics to maintain and troubleshoot the AN/MPQ-57 High Power Illuminator Radar (HPIR) of the HAWK Air Defense Missile System. In 1989, TRADOC Analysis Command compared the effectiveness of MACH 3 to traditional paper-based troubleshooting drills. For the study, all students received lecture and hands-on training as usual. However, during troubleshooting drills, students traced faults using either MACH 3 or the traditional paper-based method. Class records showed that the MACH 3 group completed significantly more troubleshooting tasks and progressed through tasks of greater difficulty than the paper-based group. Upon completion of training, students took written, practical, and oral essay tests. Mean test scores showed that students performed similarly regardless of the drill method used. However, significantly different standard deviations showed that the MACH 3 group performed more consistently than the paper-based group. Furthermore, significantly different time measures showed that the MACH 3 group reached faster troubleshooting solutions on the actual radar transmitter than the paper-based group. We will present the study results and discuss how updating the design of the MACH 3 can include desktop computing in a virtual environment.

Unsupervised Learning —A Novel Clustering Method for Rolling Bearing Faults Identification

NASA Astrophysics Data System (ADS)

Kai, Li; Bo, Luo; Tao, Ma; Xuefeng, Yang; Guangming, Wang

2017-12-01

To promptly process the massive fault data and automatically provide accurate diagnosis results, numerous studies have been conducted on intelligent fault diagnosis of rolling bearing. Among these studies, such as artificial neural networks, support vector machines, decision trees and other supervised learning methods are used commonly. These methods can detect the failure of rolling bearing effectively, but to achieve better detection results, it often requires a lot of training samples. Based on above, a novel clustering method is proposed in this paper. This novel method is able to find the correct number of clusters automatically the effectiveness of the proposed method is validated using datasets from rolling element bearings. The diagnosis results show that the proposed method can accurately detect the fault types of small samples. Meanwhile, the diagnosis results are also relative high accuracy even for massive samples.

Research into the interaction between high performance and cognitive skills in an intelligent tutoring system

NASA Technical Reports Server (NTRS)

Fink, Pamela K.

1991-01-01

Two intelligent tutoring systems were developed. These tutoring systems are being used to study the effectiveness of intelligent tutoring systems in training high performance tasks and the interrelationship of high performance and cognitive tasks. The two tutoring systems, referred to as the Console Operations Tutors, were built using the same basic approach to the design of an intelligent tutoring system. This design approach allowed researchers to more rapidly implement the cognitively based tutor, the OMS Leak Detect Tutor, by using the foundation of code generated in the development of the high performance based tutor, the Manual Select Keyboard (MSK). It is believed that the approach can be further generalized to develop a generic intelligent tutoring system implementation tool.

Tutoring electronic troubleshooting in a simulated maintenance work environment

NASA Technical Reports Server (NTRS)

Gott, Sherrie P.

1987-01-01

A series of intelligent tutoring systems, or intelligent maintenance simulators, is being developed based on expert and novice problem solving data. A graded series of authentic troubleshooting problems provides the curriculum, and adaptive instructional treatments foster active learning in trainees who engage in extensive fault isolation practice and thus in conditionalizing what they know. A proof of concept training study involving human tutoring was conducted as a precursor to the computer tutors to assess this integrated, problem based approach to task analysis and instruction. Statistically significant improvements in apprentice technicians' troubleshooting efficiency were achieved after approximately six hours of training.

Training the Body: The Potential of AIED to Support Personalized Motor Skills Learning

ERIC Educational Resources Information Center

Santos, Olga C.

2016-01-01

This paper argues that the research field of Artificial Intelligence in Education (AIED) can benefit from integrating recent technological advances (e.g., wearable devices, big data processing, 3D modelling, 3D printing, ambient intelligence) and design methodologies, such as TORMES, when developing systems that address the psychomotor learning…

Study of Emotional Intelligence Patterns with Teachers Working in Public Education

ERIC Educational Resources Information Center

Balázs, László

2015-01-01

The data necessary for the empirical research presented it this study were provided by 572 people, from altogether 26 schools. The schools included 18 primary schools, 7 secondary training institutions and 1 primary and secondary school. The major question of the study related to the pedagogues' emotional intelligence, more precisely if the…

Intelligent transportation systems Professional Capacity Building Program : ITS training & education needs assessment baseline : a review and synthesis of thirteen prior studies, field interviews, and a summary assessment of ITS needs

DOT National Transportation Integrated Search

1997-12-01

Successful deployment, operation, and management of Intelligent Transportation Systems (ITS) requires a new breed of transportation professionals, according to research, extensive outreach, and information gathered to date. The U.S. DOT has responded...

Using an Intelligent Tutor and Math Fluency Training to Improve Math Performance

ERIC Educational Resources Information Center

Arroyo, Ivon; Royer, James M.; Woolf, Beverly P.

2011-01-01

This article integrates research in intelligent tutors with psychology studies of memory and math fluency (the speed to retrieve or calculate answers to basic math operations). It describes the impact of computer software designed to improve either strategic behavior or math fluency. Both competencies are key to improved performance and both…

Predictive Factors in Conflict: Assessing the Likelihood of a Preemptive Strike by Israel on Iran Using a Computer Model

DTIC Science & Technology

2013-03-01

Proliferation Treaty OSINT Open Source Intelligence SAFF Safing, Arming, Fuzing, Firing SIAM Situational Influence Assessment Module SME Subject...expertise. One of the analysts can also be trained to tweak CAST logic as needed. In this initial build, only open-source intelligence ( OSINT ) will

Predictors of Effective Leadership in Industry--Should Engineering Education Focus on Traditional Intelligence, Personality, or Emotional Intelligence?

ERIC Educational Resources Information Center

Lappalainen, Pia

2015-01-01

Despite the changing global and industrial conditions requiring new approaches to leadership, management training as part of higher engineering education still remains understudied. The subsequent gap in engineering education calls for research on today's leader requirements and pedagogy supporting the inclusion of management competence in higher…

Honing Emotional Intelligence with Game-Based Crucible Experiences

ERIC Educational Resources Information Center

Raybourn, Elaine M.

2011-01-01

The focus of the present paper is the design of multi-player role-playing game instances as crucible experiences for the exploration of one's emotional intelligence. Subsequent sections describe the design of game-based, intercultural crucible experiences and how this design was employed for training with members of the United States Marine Corps…

Assessing the applied benefits of perceptual training: Lessons from studies of training working-memory.

PubMed

Jacoby, Nori; Ahissar, Merav

2015-01-01

In the 1980s to 1990s, studies of perceptual learning focused on the specificity of training to basic visual attributes such as retinal position and orientation. These studies were considered scientifically innovative since they suggested the existence of plasticity in the early stimulus-specific sensory cortex. Twenty years later, perceptual training has gradually shifted to potential applications, and research tends to be devoted to showing transfer. In this paper we analyze two key methodological issues related to the interpretation of transfer. The first has to do with the absence of a control group or the sole use of a test-retest group in traditional perceptual training studies. The second deals with claims of transfer based on the correlation between improvement on the trained and transfer tasks. We analyze examples from the general intelligence literature dealing with the impact on general intelligence of training on a working memory task. The re-analyses show that the reports of a significantly larger transfer of the trained group over the test-retest group fail to replicate when transfer is compared to an actively trained group. Furthermore, the correlations reported in this literature between gains on the trained and transfer tasks can be replicated even when no transfer is assumed.

Intelligent systems for human resources.

PubMed

Kline, K B

1988-11-01

An intelligent system contains knowledge about some domain; it has sophisticated decision-making processes and the ability to explain its actions. The most important aspect of an intelligent system is its ability to effectively interact with humans to teach or assist complex information processing. Two intelligent systems are Intelligent Tutoring Systems (ITs) and Expert Systems. The ITSs provide instruction to a student similar to a human tutor. The ITSs capture individual performance and tutor deficiencies. These systems consist of an expert module, which contains the knowledge or material to be taught; the student module, which contains a representation of the knowledge the student knows and does not know about the domain; and the instructional or teaching module, which selects specific knowledge to teach, the instructional strategy, and provides assistance to the student to tutor deficiencies. Expert systems contain an expert's knowledge about some domain and perform specialized tasks or aid a novice in the performance of certain tasks. The most important part of an expert system is the knowledge base. This knowledge base contains all the specialized and technical knowledge an expert possesses. For an expert system to interact effectively with humans, it must have the ability to explain its actions. Use of intelligent systems can have a profound effect on human resources. The ITSs can provide better training by tutoring on an individual basis, and the expert systems can make better use of human resources through job aiding and performing complex tasks. With increasing training requirements and "doing more with less," intelligent systems can have a positive effect on human resources.

Systematic construction and control of stereo nerve vision network in intelligent manufacturing

NASA Astrophysics Data System (ADS)

Liu, Hua; Wang, Helong; Guo, Chunjie; Ding, Quanxin; Zhou, Liwei

2017-10-01

A system method of constructing stereo vision by using neural network is proposed, and the operation and control mechanism in actual operation are proposed. This method makes effective use of the neural network in learning and memory function, by after training with samples. Moreover, the neural network can learn the nonlinear relationship in the stereoscopic vision system and the internal and external orientation elements. These considerations are Worthy of attention, which includes limited constraints, the scientific of critical group, the operating speed and the operability in technical aspects. The results support our theoretical forecast.

Intelligibility of clear speech: effect of instruction.

PubMed

Lam, Jennifer; Tjaden, Kris

2013-10-01

The authors investigated how clear speech instructions influence sentence intelligibility. Twelve speakers produced sentences in habitual, clear, hearing impaired, and overenunciate conditions. Stimuli were amplitude normalized and mixed with multitalker babble for orthographic transcription by 40 listeners. The main analysis investigated percentage-correct intelligibility scores as a function of the 4 conditions and speaker sex. Additional analyses included listener response variability, individual speaker trends, and an alternate intelligibility measure: proportion of content words correct. Relative to the habitual condition, the overenunciate condition was associated with the greatest intelligibility benefit, followed by the hearing impaired and clear conditions. Ten speakers followed this trend. The results indicated different patterns of clear speech benefit for male and female speakers. Greater listener variability was observed for speakers with inherently low habitual intelligibility compared to speakers with inherently high habitual intelligibility. Stable proportions of content words were observed across conditions. Clear speech instructions affected the magnitude of the intelligibility benefit. The instruction to overenunciate may be most effective in clear speech training programs. The findings may help explain the range of clear speech intelligibility benefit previously reported. Listener variability analyses suggested the importance of obtaining multiple listener judgments of intelligibility, especially for speakers with inherently low habitual intelligibility.

Perceptual Learning of Interrupted Speech

PubMed Central

Benard, Michel Ruben; Başkent, Deniz

2013-01-01

The intelligibility of periodically interrupted speech improves once the silent gaps are filled with noise bursts. This improvement has been attributed to phonemic restoration, a top-down repair mechanism that helps intelligibility of degraded speech in daily life. Two hypotheses were investigated using perceptual learning of interrupted speech. If different cognitive processes played a role in restoring interrupted speech with and without filler noise, the two forms of speech would be learned at different rates and with different perceived mental effort. If the restoration benefit were an artificial outcome of using the ecologically invalid stimulus of speech with silent gaps, this benefit would diminish with training. Two groups of normal-hearing listeners were trained, one with interrupted sentences with the filler noise, and the other without. Feedback was provided with the auditory playback of the unprocessed and processed sentences, as well as the visual display of the sentence text. Training increased the overall performance significantly, however restoration benefit did not diminish. The increase in intelligibility and the decrease in perceived mental effort were relatively similar between the groups, implying similar cognitive mechanisms for the restoration of the two types of interruptions. Training effects were generalizable, as both groups improved their performance also with the other form of speech than that they were trained with, and retainable. Due to null results and relatively small number of participants (10 per group), further research is needed to more confidently draw conclusions. Nevertheless, training with interrupted speech seems to be effective, stimulating participants to more actively and efficiently use the top-down restoration. This finding further implies the potential of this training approach as a rehabilitative tool for hearing-impaired/elderly populations. PMID:23469266

Metacognitive Prompt Overdose: Positive and Negative Effects of Prompts in iSTART

ERIC Educational Resources Information Center

McCarthy, Kathryn S.; Johnson, Amy M.; Likens, Aaron D.; Martin, Zachary; McNamara, Danielle S.

2017-01-01

Interactive Strategy Training for Active Reading and Thinking (iSTART) is an intelligent tutoring system that supports reading comprehension through self-explanation (SE) training. This study tested how two metacognitive features, presented in a 2 x 2 design, affected students' SE scores during training. The "performance notification"…

A Relational Frame Training Intervention to Raise Intelligence Quotients: A Pilot Study

ERIC Educational Resources Information Center

Cassidy, Sarah; Roche, Bryan; Hayes, Steven C.

2011-01-01

The current research consisted of 2 studies designed to test the effectiveness of automated multiple-exemplar relational training in raising children's general intellectual skills. In Study 1, 4 participants were exposed to multiple exemplar training in stimulus equivalence and the relational frames of SAME, OPPOSITE, MORE THAN, and LESS THAN…

Improving fluid intelligence with training on working memory: a meta-analysis.

PubMed

Au, Jacky; Sheehan, Ellen; Tsai, Nancy; Duncan, Greg J; Buschkuehl, Martin; Jaeggi, Susanne M

2015-04-01

Working memory (WM), the ability to store and manipulate information for short periods of time, is an important predictor of scholastic aptitude and a critical bottleneck underlying higher-order cognitive processes, including controlled attention and reasoning. Recent interventions targeting WM have suggested plasticity of the WM system by demonstrating improvements in both trained and untrained WM tasks. However, evidence on transfer of improved WM into more general cognitive domains such as fluid intelligence (Gf) has been more equivocal. Therefore, we conducted a meta-analysis focusing on one specific training program, n-back. We searched PubMed and Google Scholar for all n-back training studies with Gf outcome measures, a control group, and healthy participants between 18 and 50 years of age. In total, we included 20 studies in our analyses that met our criteria and found a small but significant positive effect of n-back training on improving Gf. Several factors that moderate this transfer are identified and discussed. We conclude that short-term cognitive training on the order of weeks can result in beneficial effects in important cognitive functions as measured by laboratory tests.

Gray matter responsiveness to adaptive working memory training: a surface-based morphometry study

PubMed Central

Román, Francisco J.; Lewis, Lindsay B.; Chen, Chi-Hua; Karama, Sherif; Burgaleta, Miguel; Martínez, Kenia; Lepage, Claude; Jaeggi, Susanne M.; Evans, Alan C.; Kremen, William S.

2016-01-01

Here we analyze gray matter indices before and after completing a challenging adaptive cognitive training program based on the n-back task. The considered gray matter indices were cortical thickness (CT) and cortical surface area (CSA). Twenty-eight young women (age range 17–22 years) completed 24 training sessions over the course of 3 months (12 weeks, 24 sessions), showing expected performance improvements. CT and CSA values for the training group were compared with those of a matched control group. Statistical analyses were computed using a ROI framework defined by brain areas distinguished by their genetic underpinning. The interaction between group and time was analyzed. Middle temporal, ventral frontal, inferior parietal cortices, and pars opercularis were the regions where the training group showed conservation of gray matter with respect to the control group. These regions support working memory, resistance to interference, and inhibition. Furthermore, an interaction with baseline intelligence differences showed that the expected decreasing trend at the biological level for individuals showing relatively low intelligence levels at baseline was attenuated by the completed training. PMID:26701168

A comparison of text and technology based training tools to improve cognitive skills in older adults.

PubMed

Power, Kevin; Kirwan, Grainne; Palmer, Marion

2011-01-01

Research has indicated that use of cognitive skills training tools can produce positive benefits with older adults. However, little research has compared the efficacy of technology-based interventions and more traditional, text-based interventions which are also available. This study aimed to investigate cognitive skills improvements experienced by 40 older adults using cognitive skills training tools. A Solomon 4 group design was employed to determine which intervention demonstrated the greatest improvement. Participants were asked to use the interventions for 5-10 minutes per day, over a period of 60 days. Pre and post-tests consisted of measures of numerical ability, self-reported memory and intelligence. Following training, older adults indicated significant improvements on numerical ability and intelligence regardless of intervention type. No improvement in selfreported memory was observed. This research provides a critical appraisal of brain training tools and can help point the way for future improvements in the area. Brain training improvements could lead to improved quality of life, and perhaps, have financial and independent living ramifications for older adults.

Socioeconomic Status (SES) and Children's Intelligence (IQ): In a UK-Representative Sample SES Moderates the Environmental, Not Genetic, Effect on IQ

PubMed Central

Hanscombe, Ken B.; Trzaskowski, Maciej; Haworth, Claire M. A.; Davis, Oliver S. P.; Dale, Philip S.; Plomin, Robert

2012-01-01

Background The environment can moderate the effect of genes - a phenomenon called gene-environment (GxE) interaction. Several studies have found that socioeconomic status (SES) modifies the heritability of children's intelligence. Among low-SES families, genetic factors have been reported to explain less of the variance in intelligence; the reverse is found for high-SES families. The evidence however is inconsistent. Other studies have reported an effect in the opposite direction (higher heritability in lower SES), or no moderation of the genetic effect on intelligence. Methods Using 8716 twin pairs from the Twins Early Development Study (TEDS), we attempted to replicate the reported moderating effect of SES on children's intelligence at ages 2, 3, 4, 7, 9, 10, 12 and 14: i.e., lower heritability in lower-SES families. We used a twin model that allowed for a main effect of SES on intelligence, as well as a moderating effect of SES on the genetic and environmental components of intelligence. Results We found greater variance in intelligence in low-SES families, but minimal evidence of GxE interaction across the eight ages. A power calculation indicated that a sample size of about 5000 twin pairs is required to detect moderation of the genetic component of intelligence as small as 0.25, with about 80% power - a difference of 11% to 53% in heritability, in low- (−2 standard deviations, SD) and high-SES (+2 SD) families. With samples at each age of about this size, the present study found no moderation of the genetic effect on intelligence. However, we found the greater variance in low-SES families is due to moderation of the environmental effect – an environment-environment interaction. Conclusions In a UK-representative sample, the genetic effect on intelligence is similar in low- and high-SES families. Children's shared experiences appear to explain the greater variation in intelligence in lower SES. PMID:22312423

Cognitive-motor dual-task ability of athletes with and without intellectual impairment.

PubMed

Van Biesen, Debbie; Jacobs, Lore; McCulloch, Katina; Janssens, Luc; Vanlandewijck, Yves C

2018-03-01

Cognition is important in many sports, for example, making split-second-decisions under pressure, or memorising complex movement sequences. The dual-task (DT) paradigm is an ecologically valid approach for the assessment of cognitive function in conjunction with motor demands. This study aimed to determine the impact of impaired intelligence on DT performance. The motor task required balancing on one leg on a beam, and the cognitive task was a multiple-object-tracking (MOT) task assessing dynamic visual-search capacity. The sample included 206 well-trained athletes with and without intellectual impairment (II), matched for sport, age and training volume (140 males, 66 females, M age = 23.2 ± 4.1 years, M training experience = 12.3 ± 5.7 years). In the single-task condition, II-athletes showed reduced balance control (F = 55.9, P < .001, η 2  = .23) and reduced MOT (F = 86.3, P < .001, η 2  = .32) compared to the control group. A mixed-model ANCOVA revealed significant differences in DT performance for the balance and the MOT task between both groups. The DT costs were significantly larger for the II-athletes (-8.28% versus -1.34% for MOT and -33.13% versus -12.89% for balance). The assessment of MOT in a DT paradigm provided insight in how impaired intelligence constrains the ability of II-athletes to successfully perform at the highest levels in the complex and dynamical sport-environment.

A Common Cockpit Training System

DTIC Science & Technology

2005-01-01

a learning environment where students can practice ASW via free - play simulated tactical situations while receiving feedback and instruction customized...Mission Display and includes free play simulation capability to maximize training. This intelligent tutoring system (ITS) will observe the operator’s

Factors Predicting the Use of Technology: Findings From the Center for Research and Education on Aging and Technology Enhancement (CREATE)

PubMed Central

Czaja, Sara J.; Charness, Neil; Fisk, Arthur D.; Hertzog, Christopher; Nair, Sankaran N.; Rogers, Wendy A.; Sharit, Joseph

2006-01-01

The successful adoption of technology is becoming increasingly important to functional independence. The present article reports findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE) on the use of technology among community-dwelling adults. The sample included 1,204 individuals ranging in age from 18–91 years. All participants completed a battery that included measures of demographic characteristics, self-rated health, experience with technology, attitudes toward computers, and component cognitive abilities. Findings indicate that the older adults were less likely than younger adults to use technology in general, computers, and the World Wide Web. The results also indicate that computer anxiety, fluid intelligence, and crystallized intelligence were important predictors of the use of technology. The relationship between age and adoption of technology was mediated by cognitive abilities, computer self-efficacy, and computer anxiety. These findings are discussed in terms of training strategies to promote technology adoption. PMID:16768579

Intelligent computer-aided training authoring environment

NASA Technical Reports Server (NTRS)

Way, Robert D.

1994-01-01

Although there has been much research into intelligent tutoring systems (ITS), there are few authoring systems available that support ITS metaphors. Instructional developers are generally obliged to use tools designed for creating on-line books. We are currently developing an authoring environment derived from NASA's research on intelligent computer-aided training (ICAT). The ICAT metaphor, currently in use at NASA has proven effective in disciplines from satellite deployment to high school physics. This technique provides a personal trainer (PT) who instructs the student using a simulated work environment (SWE). The PT acts as a tutor, providing individualized instruction and assistance to each student. Teaching in an SWE allows the student to learn tasks by doing them, rather than by reading about them. This authoring environment will expedite ICAT development by providing a tool set that guides the trainer modeling process. Additionally, this environment provides a vehicle for distributing NASA's ICAT technology to the private sector.

Fluid intelligence and psychiatric disorders in a population representative sample of US adolescents

PubMed Central

Keyes, Katherine M.; Platt, Jonathan; Kaufman, Alan S.; McLaughlin, Katie A.

2017-01-01

Importance Despite long-standing interest in the association of psychiatric disorders with intelligence, few population-based studies of psychiatric disorders have assessed intelligence. Objectives To investigate the association of fluid intelligence with past-year and lifetime psychiatric disorders, disorder age-of-onset, and disorder severity in a nationally-representative sample of U.S. adolescents. Design Dual-frame national sample of adolescents ascertained from schools and households from the National Comorbidity Survey Replication-Adolescent Supplement, collected 2001–2004. Setting Face-to-face household interviews with adolescents and questionnaires from parents. Participants The sample included 10,073 adolescents with valid data on fluid intelligence. Exposures DSM-IV mental disorders were assessed with the World Health Organization Composite International Diagnostic Interview, and included a broad range of fear, distress, behavior, substance use and other disorders. Disorder severity was measured with the Sheehan Disability Scale. Main Outcomes Fluid intelligence quotient (IQ) measured with Kaufman Brief Intelligence Test, normed within the sample by six-month age groups. Results Lower mean IQ was observed among adolescents with past-year bipolar disorder (predicted Mean [M]=94.2, p<0.01), attention-deficit/hyperactivity disorder (M=96.3, p<0.01), oppositional defiant disorder (M=97.3, p<0.01), conduct disorder (M=97.1, p=0.02) substance disorders (M=96.5–97.6, p=0.02 to <0.01) and specific phobia (M=97.1, p<0.01) after adjustment for a wide range of potential confounders. Intelligence was not associated with post-traumatic stress disorder, eating disorders, and anxiety disorders other than specific phobia, and was positively associated with major depression. Associations of fluid intelligence with lifetime disorders that had remitted were attenuated compared to past-year disorders, with the exception of separation anxiety disorder. Across disorders, higher disorder severity was associated with lower fluid intelligence. Conclusions Numerous psychiatric disorders are associated with reductions in fluid intelligence; associations are generally small in magnitude. Stronger associations of current than past disorders with intelligence suggest that active symptoms of psychopathology interfere with cognitive functioning, although longitudinal studies are needed to determine the extent to which changes in fluid intelligence precede or follow the onset of psychiatric disorders. Early identification and treatment of children with mental disorders in school settings is critical to promote academic achievement and long-term success. PMID:28030746

Reciprocal Effects between Fluid and Crystallized Intelligence and Their Dependence on Parents' Socioeconomic Status and Education

ERIC Educational Resources Information Center

Rindermann, Heiner; Flores-Mendoza, Carmen; Mansur-Alves, Marcela

2010-01-01

The investment theory of Cattell supposes an influence of fluid on crystallized intelligence. The development of fluid intelligence largely depends on biological factors, of crystallized intelligence on fluid intelligence and environmental stimulation. To test this theory two contrasting samples representing a broad ability range were chosen, a…

The Level and Nature of Autistic Intelligence

PubMed Central

Dawson, Michelle; Soulières, Isabelle; Ann Gernsbacher, Morton; Mottron, Laurent

2015-01-01

Autistics are presumed to be characterized by cognitive impairment, and their cognitive strengths (e.g., in Block Design performance) are frequently interpreted as low-level by-products of high-level deficits, not as direct manifestations of intelligence. Recent attempts to identify the neuroanatomical and neurofunctional signature of autism have been positioned on this universal, but untested, assumption. We therefore assessed a broad sample of 38 autistic children on the preeminent test of fluid intelligence, Raven’s Progressive Matrices. Their scores were, on average, 30 percentile points, and in some cases more than 70 percentile points, higher than their scores on the Wechsler scales of intelligence. Typically developing control children showed no such discrepancy, and a similar contrast was observed when a sample of autistic adults was compared with a sample of nonautistic adults. We conclude that intelligence has been underestimated in autistics. PMID:17680932

Tentative Guidelines for the Development of an Ability-Based Emotional Intelligence Intervention Program for Gifted Students

ERIC Educational Resources Information Center

Zeidner, Moshe

2017-01-01

This paper presents a number of general principles and guidelines for the development of an emotional intelligence training program designed to foster emotional abilities in gifted students. The presented guidelines underscore the need for EI theory-driven program planning geared to the needs of gifted students; integrating activities into routine…

Modeling Expert Behavior in Support of an Adaptive Psychomotor Training Environment: A Marksmanship Use Case

ERIC Educational Resources Information Center

Goldberg, Benjamin; Amburn, Charles; Ragusa, Charlie; Chen, Dar-Wei

2018-01-01

The U.S. Army is interested in extending the application of intelligent tutoring systems (ITS) beyond cognitive problem spaces and into psychomotor skill domains. In this paper, we present a methodology and validation procedure for creating expert model representations in the domain of rifle marksmanship. GIFT (Generalized Intelligent Framework…

Developing the Alphabetic Principle to Aid Text-Based Augmentative and Alternative Communication Use by Adults With Low Speech Intelligibility and Intellectual Disabilities.

PubMed

Schmidt-Naylor, Anna C; Saunders, Kathryn J; Brady, Nancy C

2017-05-17

We explored alphabet supplementation as an augmentative and alternative communication strategy for adults with minimal literacy. Study 1's goal was to teach onset-letter selection with spoken words and assess generalization to untaught words, demonstrating the alphabetic principle. Study 2 incorporated alphabet supplementation within a naming task and then assessed effects on speech intelligibility. Three men with intellectual disabilities (ID) and low speech intelligibility participated. Study 1 used a multiple-probe design, across three 20-word sets, to show that our computer-based training improved onset-letter selection. We also probed generalization to untrained words. Study 2 taught onset-letter selection for 30 new words chosen for functionality. Five listeners transcribed speech samples of the 30 words in 2 conditions: speech only and speech with alphabet supplementation. Across studies 1 and 2, participants demonstrated onset-letter selection for at least 90 words. Study 1 showed evidence of the alphabetic principle for some but not all word sets. In study 2, participants readily used alphabet supplementation, enabling listeners to understand twice as many words. This is the first demonstration of alphabet supplementation in individuals with ID and minimal literacy. The large number of words learned holds promise both for improving communication and providing a foundation for improved literacy.

Motion Controllers for Learners to Manipulate and Interact with 3D Objects for Mental Rotation Training

ERIC Educational Resources Information Center

Yeh, Shih-Ching; Wang, Jin-Liang; Wang, Chin-Yeh; Lin, Po-Han; Chen, Gwo-Dong; Rizzo, Albert

2014-01-01

Mental rotation is an important spatial processing ability and an important element in intelligence tests. However, the majority of past attempts at training mental rotation have used paper-and-pencil tests or digital images. This study proposes an innovative mental rotation training approach using magnetic motion controllers to allow learners to…

Do the Effects of Working Memory Training Depend on Baseline Ability Level?

ERIC Educational Resources Information Center

Foster, Jeffrey L.; Harrison, Tyler L.; Hicks, Kenny L.; Draheim, Christopher; Redick, Thomas S.; Engle, Randall W.

2017-01-01

There is a debate about the ability to improve cognitive abilities such as fluid intelligence through training on tasks of working memory capacity. The question addressed in the research presented here is who benefits the most from training: people with low cognitive ability or people with high cognitive ability? Subjects with high and low working…

Working Memory Training in Typically Developing Children: A Meta-Analysis of the Available Evidence

ERIC Educational Resources Information Center

Sala, Giovanni; Gobet, Fernand

2017-01-01

The putative effectiveness of working memory (WM) training at enhancing cognitive and academic skills is still ardently debated. Several researchers have claimed that WM training fosters not only skills such as visuospatial WM and short-term memory (STM), but also abilities outside the domain of WM, such as fluid intelligence and mathematics.…

The 2009 DOD Cost Research Workshop: Acquisition Reform

DTIC Science & Technology

2010-02-01

2 ACEIT Enhancement, Help-Desk/Training, Consulting DASA-CE–3 Command, Control, Communications, Computers, Intelligence, Surveillance, and...Management Information System (OSMIS) online interactive relational database DASA-CE–2 Title: ACEIT Enhancement, Help-Desk/Training, Consulting Summary...support and training for the Automated Cost estimator Integrated Tools ( ACEIT ) software suite. ACEIT is the Army standard suite of analytical tools for

Construct Validity of the Wechsler Abbreviated Scale of Intelligence and Wide Range Intelligence Test: Convergent and Structural Validity

ERIC Educational Resources Information Center

Canivez, Gary L.; Konold, Timothy R.; Collins, Jason M.; Wilson, Greg

2009-01-01

The Wechsler Abbreviated Scale of Intelligence (WASI; Psychological Corporation, 1999) and the Wide Range Intelligence Test (WRIT; Glutting, Adams, & Sheslow, 2000) are two well-normed brief measures of general intelligence with subtests purportedly assessing verbal-crystallized abilities and nonverbal-fluid-visual abilities. With a sample of…

The moderating role of personality traits on emotional intelligence and conflict management styles.

PubMed

Ann, Bao-Yi; Yang, Chun-Chi

2012-06-01

In a sample of 442 part-time MBA and undergraduate students, the relationships between emotional intelligence and the integrating style and between emotional intelligence and the dominating style of conflict management were moderated by extraversion. In addition, agreeableness moderated the relationships between emotional intelligence and compromising style and between emotional intelligence and dominating style.

Intelligence and Personality as Predictors of Divergent Thinking: The Role of General, Fluid and Crystallised Intelligence

ERIC Educational Resources Information Center

Batey, Mark; Chamorro-Premuzic, Tomas; Furnham, Adrian

2009-01-01

Two studies examined the relationships between measures of intelligence, personality and divergent thinking (DT) in student samples. Study one investigated the incremental validity of measures of IQ and fluid intelligence with the Big Five Personality Inventory with regards to DT. Significant relationships of DT to fluid intelligence, Extraversion…

The Impact of Emotional Intelligence on Conditions of Trust among Leaders at the Kentucky Department for Public Health

PubMed Central

Knight, Jennifer Redmond; Bush, Heather M.; Mase, William A.; Riddell, Martha Cornwell; Liu, Meng; Holsinger, James W.

2015-01-01

There has been limited leadership research on emotional intelligence and trust in governmental public health settings. The purpose of this study was to identify and seek to understand the relationship between trust and elements of emotional intelligence, including stress management, at the Kentucky Department for Public Health (KDPH). The KDPH serves as Kentucky’s state governmental health department. KDPH is led by a Commissioner and composed of seven primary divisions and 25 branches within those divisions. The study was a non-randomized cross-sectional study utilizing electronic surveys that evaluated conditions of trust among staff members and emotional intelligence among supervisors. Pearson correlation coefficients and corresponding p-values are presented to provide the association between emotional intelligence scales and the conditions of trust. Significant positive correlations were observed between supervisors’ stress management and the staff members’ trust or perception of supervisors’ loyalty (r = 0.6, p = 0.01), integrity (r = 0.5, p = 0.03), receptivity (r = 0.6, p = 0.02), promise fulfillment (r = 0.6, p = 0.02), and availability (r = 0.5, p = 0.07). This research lays the foundation for emotional intelligence and trust research and leadership training in other governmental public health settings, such as local, other state, national, or international organizations. This original research provides metrics to assess the public health workforce with attention to organizational management and leadership constructs. The survey tools could be used in other governmental public health settings in order to develop tailored training opportunities related to emotional intelligence and trust organizations. PMID:25821778

Genetic Fuzzy Trees for Intelligent Control of Unmanned Combat Aerial Vehicles

NASA Astrophysics Data System (ADS)

Ernest, Nicholas D.

Fuzzy Logic Control is a powerful tool that has found great success in a variety of applications. This technique relies less on complex mathematics and more "expert knowledge" of a system to bring about high-performance, resilient, and efficient control through linguistic classification of inputs and outputs and if-then rules. Genetic Fuzzy Systems (GFSs) remove the need of this expert knowledge and instead rely on a Genetic Algorithm (GA) and have similarly found great success. However, the combination of these methods suffer severely from scalability; the number of rules required to control the system increases exponentially with the number of states the inputs and outputs can take. Therefor GFSs have thus far not been applicable to complex, artificial intelligence type problems. The novel Genetic Fuzzy Tree (GFT) method breaks down complex problems hierarchically, makes sub-decisions when possible, and thus greatly reduces the burden on the GA. This development significantly changes the field of possible applications for GFSs. Within this study, this is demonstrated through applying this technique to a difficult air combat problem. Looking forward to an autonomous Unmanned Combat Aerial Vehicle (UCAV) in the 2030 time-frame, it becomes apparent that the mission, flight, and ground controls will utilize the emerging paradigm of Intelligent Systems (IS); namely, the ability to learn, adapt, exhibit robustness in uncertain situations, make sense of the data collected in real-time and extrapolate when faced with scenarios significantly different from those used in training. LETHA (Learning Enhanced Tactical Handling Algorithm) was created to develop intelligent controllers for these advanced unmanned craft as the first GFT. A simulation space referred to as HADES (Hoplological Autonomous Defend and Engage Simulation) was created in which LETHA can train the UCAVs. Equipped with advanced sensors, a limited supply of Self-Defense Missiles (SDMs), and a recharging Laser Weapon System (LWS), these UCAVs can navigate a mission space, counter enemy threats, cope with losses in communications, and destroy mission-critical targets. Monte Carlo simulations of the resulting controllers were tested in mission scenarios that are distinct from the training scenarios to determine the training effectiveness in new environments and the presence of deep learning. Despite an incredibly large solution space, LETHA has demonstrated remarkable effectiveness in training intelligent controllers for the UCAV squadron and shown robustness to drastically changing states, uncertainty, and limited information while maintaining extreme levels of computational efficiency.

Intelligent hypertext manual development for the Space Shuttle hazardous gas detection system

NASA Technical Reports Server (NTRS)

Lo, Ching F.; Hoyt, W. Andes

1989-01-01

This research is designed to utilize artificial intelligence (AI) technology to increase the efficiency of personnel involved with monitoring the space shuttle hazardous gas detection systems at the Marshall Space Flight Center. The objective is to create a computerized service manual in the form of a hypertext and expert system which stores experts' knowledge and experience. The resulting Intelligent Manual will assist the user in interpreting data timely, in identifying possible faults, in locating the applicable documentation efficiently, in training inexperienced personnel effectively, and updating the manual frequently as required.

Cultivating Mind Fitness through Mindfulness Training: Applied Neuroscience

ERIC Educational Resources Information Center

Heydenfeldt, Jo Ann; Herkenhoff, Linda; Coe, Mary

2011-01-01

Mindfulness reduces distress, promotes optimal health, improves attentional control, mental agility, emotional intelligence, and situational awareness. Stress management and cognitive performance in Marines who spent more hours practicing Mindfulness Based Mind Fitness Training were superior to those soldiers who practiced fewer hours. Students…

Building professional capacity in ITS : guidelines for designing an individualized training and education plan

DOT National Transportation Integrated Search

1999-04-01

This document presents a guide for educating and training transportation professionals on skills for Intelligent Transportation Systems (ITS). It identifies twenty ideal roles that professionals play in ITS and ITS competencies A curriculum is then p...

Building professional capacity in ITS : an assessment of ITS training and education needs : the CVO perspective

DOT National Transportation Integrated Search

1999-08-01

This report focuses on assessing the training and education needs of transportation professionals involved in Intelligent Transportation Systems/Commercial Vehicle Operations (ITS/CVO). After an introduction to the program, the author defines the pro...

Cooperative learning model with high order thinking skills questions: an understanding on geometry

NASA Astrophysics Data System (ADS)

Sari, P. P.; Budiyono; Slamet, I.

2018-05-01

Geometry, a branch of mathematics, has an important role in mathematics learning. This research aims to find out the effect of learning model, emotional intelligence, and the interaction between learning model and emotional intelligence toward students’ mathematics achievement. This research is quasi-experimental research with 2 × 3 factorial design. The sample in this research included 179 Senior High School students on 11th grade in Sukoharjo Regency, Central Java, Indonesia in academic year of 2016/2017. The sample was taken by using stratified cluster random sampling. The results showed that: the student are taught by Thinking Aloud Pairs Problem-Solving using HOTs questions provides better mathematics learning achievement than Make A Match using HOTs questions. High emotional intelligence students have better mathematics learning achievement than moderate and low emotional intelligence students, and moderate emotional intelligence students have better mathematics learning achievement than low emotional intelligence students. There is an interaction between learning model and emotional intelligence, and these affect mathematics learning achievement. We conclude that appropriate learning model can support learning activities become more meaningful and facilitate students to understand material. For further research, we suggest to explore the contribution of other aspects in cooperative learning modification to mathematics achievement.

The relationship of certified flight instructors' emotional intelligence levels on flight student advancement

NASA Astrophysics Data System (ADS)

Hokeness, Mark Merrill

Aviation researchers estimate airline companies will require nearly 500,000 pilots in the next 20 years. The role of a Certified Flight Instructor (CFI) is to move student pilots to professional pilots with training typically conducted in one-on-one student and instructor sessions. The knowledge of aviation, professionalism as a teacher, and the CFI’s interpersonal skills can directly affect the successes and advancement of a student pilot. A new and emerging assessment of people skills is known as emotional intelligence (EI). The EI of the CFI can and will affect a flight students’ learning experiences. With knowledge of emotional intelligence and its effect on flight training, student pilot dropouts from aviation may be reduced, thus helping to ensure an adequate supply of pilots. Without pilots, the growth of the commercial aviation industry will be restricted. This mixed method research study established the correlation between a CFI’s measured EI levels and the advancement of flight students. The elements contributing to a CFI’s EI level were not found to be teaching or flight-related experiences, suggesting other life factors are drawn upon by the CFI and are reflected in their emotional intelligence levels presented to flight students. Students respond positively to CFIs with higher levels of emotional intelligence. Awareness of EI skills by both the CFI and flight student contribute to flight student successes and advancement.

Predicting Correctness of Problem Solving from Low-Level Log Data in Intelligent Tutoring Systems

ERIC Educational Resources Information Center

Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Hord, Casey

2009-01-01

This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…

First CLIPS Conference Proceedings, volume 1

NASA Technical Reports Server (NTRS)

1990-01-01

The first Conference of C Language Production Systems (CLIPS) hosted by the NASA-Lyndon B. Johnson Space Center in August 1990 is presented. Articles included engineering applications, intelligent tutors and training, intelligent software engineering, automated knowledge acquisition, network applications, verification and validation, enhancements to CLIPS, space shuttle quality control/diagnosis applications, space shuttle and real-time applications, and medical, biological, and agricultural applications.

Measuring Learning Potential: An Alternative to the Traditional Intelligence Test. Studies in Learning Potential, Volume 3, Number 39.

ERIC Educational Resources Information Center

Budoff, Milton

Proposed is the assessment of learning potential through a test-train-retest paradigm in addition to the traditional intelligence test with mentally handicapped or disadvantaged children. Discussed is a rationale for the approach which posits that poor and/or nonwhite children do not have equal access to school-preparatory experiences though they…

Social and Emotional Dynamics of College Students with Musical Intelligence and Musical Training: A Multiple Case Study

ERIC Educational Resources Information Center

Pelayo, Jose Maria G., III; Galang, Edgar

2013-01-01

Music has been in its formal existence for so many years now and it has also been utilized to enhance, relax and help man's meditation. This study focused on how music can or may influence an individual. The researchers investigated and described the influence of Howard Gardner's theory on Multiple Intelligence (specifically, musical…

Emerging CAE technologies and their role in Future Ambient Intelligence Environments

NASA Astrophysics Data System (ADS)

Noor, Ahmed K.

2011-03-01

Dramatic improvements are on the horizon in Computer Aided Engineering (CAE) and various simulation technologies. The improvements are due, in part, to the developments in a number of leading-edge technologies and their synergistic combinations/convergence. The technologies include ubiquitous, cloud, and petascale computing; ultra high-bandwidth networks, pervasive wireless communication; knowledge based engineering; networked immersive virtual environments and virtual worlds; novel human-computer interfaces; and powerful game engines and facilities. This paper describes the frontiers and emerging simulation technologies, and their role in the future virtual product creation and learning/training environments. The environments will be ambient intelligence environments, incorporating a synergistic combination of novel agent-supported visual simulations (with cognitive learning and understanding abilities); immersive 3D virtual world facilities; development chain management systems and facilities (incorporating a synergistic combination of intelligent engineering and management tools); nontraditional methods; intelligent, multimodal and human-like interfaces; and mobile wireless devices. The Virtual product creation environment will significantly enhance the productivity and will stimulate creativity and innovation in future global virtual collaborative enterprises. The facilities in the learning/training environment will provide timely, engaging, personalized/collaborative and tailored visual learning.

Reverse engineering the human: artificial intelligence and acting theory

NASA Astrophysics Data System (ADS)

Soto-Morettini, Donna

2017-01-01

In two separate papers, Artificial Intelligence (AI)/Robotics researcher Guy Hoffman takes as a starting point that actors have been in the business of reverse engineering human behaviour for centuries. In this paper, I follow the similar trajectories of AI and acting theory (AT), looking at three primary questions, in the hope of framing a response to Hoffman's papers: (1) How are the problems of training a human to simulate a fictional human both similar to and different from training a machine to simulate a human? (2) How are the larger questions of AI design and architecture similar to the larger questions that still remain within the area of AT? (3) Is there anything in the work of AI design that might advance the work of acting theorists and practitioners? The paper explores the use of "swarm intelligence" in recent models of both AT and AI, and considers the issues of embodied cognition, and the kinds of intelligence that enhances or inhibits imaginative immersion for the actor, and concludes with a consideration of the ontological questions raised by the trend towards intersubjective, dynamic systems of generative thought in both AT and AI.

Motorcycle Start-stop System based on Intelligent Biometric Voice Recognition

NASA Astrophysics Data System (ADS)

Winda, A.; E Byan, W. R.; Sofyan; Armansyah; Zariantin, D. L.; Josep, B. G.

2017-03-01

Current mechanical key in the motorcycle is prone to bulgary, being stolen or misplaced. Intelligent biometric voice recognition as means to replace this mechanism is proposed as an alternative. The proposed system will decide whether the voice is belong to the user or not and the word utter by the user is ‘On’ or ‘Off’. The decision voice will be sent to Arduino in order to start or stop the engine. The recorded voice is processed in order to get some features which later be used as input to the proposed system. The Mel-Frequency Ceptral Coefficient (MFCC) is adopted as a feature extraction technique. The extracted feature is the used as input to the SVM-based identifier. Experimental results confirm the effectiveness of the proposed intelligent voice recognition and word recognition system. It show that the proposed method produces a good training and testing accuracy, 99.31% and 99.43%, respectively. Moreover, the proposed system shows the performance of false rejection rate (FRR) and false acceptance rate (FAR) accuracy of 0.18% and 17.58%, respectively. In the intelligent word recognition shows that the training and testing accuracy are 100% and 96.3%, respectively.

Moisture Damage Modeling in Lime and Chemically Modified Asphalt at Nanolevel Using Ensemble Computational Intelligence

PubMed Central

2018-01-01

This paper measures the adhesion/cohesion force among asphalt molecules at nanoscale level using an Atomic Force Microscopy (AFM) and models the moisture damage by applying state-of-the-art Computational Intelligence (CI) techniques (e.g., artificial neural network (ANN), support vector regression (SVR), and an Adaptive Neuro Fuzzy Inference System (ANFIS)). Various combinations of lime and chemicals as well as dry and wet environments are used to produce different asphalt samples. The parameters that were varied to generate different asphalt samples and measure the corresponding adhesion/cohesion forces are percentage of antistripping agents (e.g., Lime and Unichem), AFM tips K values, and AFM tip types. The CI methods are trained to model the adhesion/cohesion forces given the variation in values of the above parameters. To achieve enhanced performance, the statistical methods such as average, weighted average, and regression of the outputs generated by the CI techniques are used. The experimental results show that, of the three individual CI methods, ANN can model moisture damage to lime- and chemically modified asphalt better than the other two CI techniques for both wet and dry conditions. Moreover, the ensemble of CI along with statistical measurement provides better accuracy than any of the individual CI techniques. PMID:29849551

No evidence for true training and transfer effects after inhibitory control training in young healthy adults.

PubMed

Enge, Sören; Behnke, Alexander; Fleischhauer, Monika; Küttler, Lena; Kliegel, Matthias; Strobel, Alexander

2014-07-01

Recent studies reported that training of working memory may improve performance in the trained function and beyond. Other executive functions, however, have been rarely or not yet systematically examined. The aim of this study was to test the effectiveness of inhibitory control (IC) training to produce true training-related function improvements in a sample of 122 healthy adults using a randomized, double-blind pretest/posttest/follow-up design. Two groups performed either adaptive (training group) or nonadaptive (active control) versions of go/no-go and stop-signal tasks for 3 weeks. Training gains as well as near-transfer to an untrained Stroop task and far-transfer to psychometric fluid intelligence were explored. Although the adaptive group could substantially improve overall IC task performance after training, no differences to the active control group occurred, neither at posttest nor at follow-up testing. A large decrease in response latency from pre- to posttest (and from pretest to 4 months' follow-up testing) was found when the training group was compared to the passive control group, which, however, does not sufficiently control for possible confounds. Thus, no conclusive evidence was found that this performance increase mirrors a true increase in IC function. The fact that training improvement was mainly related to response latency may indicate that individuals were more focused on performance gains in the prepotent go trials but less on the stop trials to meet the requirements of the tasks as well as possible. The challenges for response inhibition training studies are extensively discussed. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Instructional Technologies in the Workforce: Case Studies from the Nuclear Industry.

ERIC Educational Resources Information Center

Widen, William C.; Roth, Gene L.

1992-01-01

Describes six types of instructional technology used in the nuclear industry: Study Pacs, computerized test banks, computer-based training, interactive videodisc, artificial intelligence, and full-scope simulation. Each description presents the need, training device, outcomes, and limitations or constraints on use. (SK)

Building professional capacity in ITS : documentation and analysis of training and education needs in support of ITS deployment

DOT National Transportation Integrated Search

1999-04-01

This report summarizes a comprehensive effort conducted in the summer of 1998 to more systematically investigate the intelligent transportation systems (ITS) training and education needs of transportation professionals. A team of analysts conducted a...

An evaluation of training effectiveness of an intelligent tutoring system

NASA Technical Reports Server (NTRS)

Johnson, Debra Steele; Pieper, Kalen F.; Culbert, Chris

1992-01-01

The study evaluated the training effectiveness of an intelligent tutoring system (ITS) for the Remote Manipulator System (RMS). The study examined how well individuals learn the training content and skills from the RMS ITS and to what extent the content and skills learned using the ITS transfer to RMS task performance in the SES, a high fidelity simulator. Three astronauts completed 8 2-hour ITS sessions addressing movement in three coordinate systems, grapple, ungrapple, berth, and unberth procedures, and singularities and reach limits. Their performance was also observed in an SES training session. Performance data were collected using multiple measures: ITS task performance, transfer performance on the SES, a conceptual knowledge test, an opinion survey completed by astronauts, and comments and observations from astronauts and trainers. Results indicated the RMS ITS to be moderately effective and provided evidence of the efficacy of ITS's, in general. Comments and suggestions are provided relating to how the ITS could be improved and to enable decision makers to judge the effectiveness of the RMS ITS.

An Experimental Design of a Foundational Framework for the Application of Affective Computing to Soaring Flight Simulation and Training

ERIC Educational Resources Information Center

Moon, Shannon

2017-01-01

In the absence of tools for intelligent tutoring systems for soaring flight simulation training, this study evaluated a framework foundation to measure pilot performance, affect, and physiological response to training in real-time. Volunteers were asked to perform a series of flight tasks selected from Federal Aviation Administration Practical…

Constructing Virtual Training Demonstrations

DTIC Science & Technology

2008-12-01

virtual environments have been shown to be effective for training, and distributed game -based architectures contribute an added benefit of wide...investigation of how a demonstration authoring toolset can be constructed from existing virtual training environments using 3-D multiplayer gaming ...intelligent agents project to create AI middleware for simulations and videogames . The result was SimBionic®, which enables users to graphically author

The Anti-RFI Design of Intelligent Electric Energy Meters with UHF RFID

NASA Astrophysics Data System (ADS)

Chen, Xiangqun; Huang, Rui; Shen, Liman; chen, Hao; Xiong, Dezhi; Xiao, Xiangqi; Liu, Mouhai; Xu, Renheng

2018-03-01

In order to solve the existing artificial meter reading watt-hour meter industry is still slow and inventory of common problems, using the uhf radio frequency identification (RFID) technology and intelligent watt-hour meter depth fusion, which has a one-time read multiple tags, identification distance, high transmission rate, high reliability, etc, while retaining the original asset management functions, in order to ensure the uhf RFID and minimum impact on the operation of the intelligent watt-hour meter, proposed to improve the stability of the electric meter system while working at the same time, this paper designs the uhf RFID intelligent watt-hour meter radio frequency interference resistance, put forward to improve intelligent watt-hour meter electromagnetic compatibility design train of thought, and introduced its power and the hardware circuit design of printed circuit board, etc.

Psychological Gender and Emotional Intelligence in Youth Female Soccer Players.

PubMed

Rutkowska, Katarzyna; Bergier, Józef

2015-09-29

Many sports (for instance soccer) are stereotypically perceived as a male activity. Even so, more and more women decide to become competitive athletes. Since the theory of sport requires comprehensive explanations and the practice of sport needs clear guidelines, interdisciplinary studies into the nature of sport, including its psychological aspects, are necessary. Analysing the psychological profile of female soccer players, particularly those who are about to become professional athletes, can provide many interesting insights into the specific character of female youth sport and show where improvements can be made in athletic training programmes (especially in mental training). It is therefore important to study psychological gender that determines social behaviours and to analyse female athletes' emotional intelligence. Emotional intelligence is defined as a set of emotional competencies that determine the effectiveness of human behaviours. Psychological gender and emotional intelligence have a significant effect on human adaptability and the efficiency of psychosocial functioning. This research was undertaken with the dual purpose of identifying the psychological gender and emotional intelligence of female soccer players. It involved 54 secondary-school girls, some of whom attended a sports class and others played on the Polish national team. The following tools were used to carry out the research: the Gender Assessment Inventory (IPP [This and the other acronyms derive from the Polish language]-developed by Kuczyńska) and the Emotional Intelligence Questionnaire (INTE; created by Jaworowska and Matczak). As shown by the analysis of the results, most female soccer players in the study were androgynous and the level of their emotional intelligence was significantly higher than in other participants. This also seems to point to their significantly greater adaptability. At the same time, the level of emotional intelligence in many players was average or low, which seems insufficient and calls for adequate intervention measures to be taken.

Psychological Gender and Emotional Intelligence in Youth Female Soccer Players

PubMed Central

Rutkowska, Katarzyna; Bergier, Józef

2015-01-01

Many sports (for instance soccer) are stereotypically perceived as a male activity. Even so, more and more women decide to become competitive athletes. Since the theory of sport requires comprehensive explanations and the practice of sport needs clear guidelines, interdisciplinary studies into the nature of sport, including its psychological aspects, are necessary. Analysing the psychological profile of female soccer players, particularly those who are about to become professional athletes, can provide many interesting insights into the specific character of female youth sport and show where improvements can be made in athletic training programmes (especially in mental training). It is therefore important to study psychological gender that determines social behaviours and to analyse female athletes’ emotional intelligence. Emotional intelligence is defined as a set of emotional competencies that determine the effectiveness of human behaviours. Psychological gender and emotional intelligence have a significant effect on human adaptability and the efficiency of psychosocial functioning. This research was undertaken with the dual purpose of identifying the psychological gender and emotional intelligence of female soccer players. It involved 54 secondary-school girls, some of whom attended a sports class and others played on the Polish national team. The following tools were used to carry out the research: the Gender Assessment Inventory (IPP [This and the other acronyms derive from the Polish language]-developed by Kuczyńska) and the Emotional Intelligence Questionnaire (INTE; created by Jaworowska and Matczak). As shown by the analysis of the results, most female soccer players in the study were androgynous and the level of their emotional intelligence was significantly higher than in other participants. This also seems to point to their significantly greater adaptability. At the same time, the level of emotional intelligence in many players was average or low, which seems insufficient and calls for adequate intervention measures to be taken. PMID:26673062

Childhood intelligence is heritable, highly polygenic and associated with FNBP1L

PubMed Central

Benyamin, B; Pourcain, BSt; Davis, OS; Davies, G; Hansell, NK; Brion, M-JA; Kirkpatrick, RM; Cents, RAM; Franić, S; Miller, MB; Haworth, CMA; Meaburn, E; Price, TS; Evans, DM; Timpson, N; Kemp, J; Ring, S; McArdle, W; Medland, SE; Yang, J; Harris, SE; Liewald, DC; Scheet, P; Xiao, X; Hudziak, JJ; de Geus, EJC; Jaddoe, VWV; Starr, JM; Verhulst, FC; Pennell, C; Tiemeier, H; Iacono, WG; Palmer, LJ; Montgomery, GW; Martin, NG; Boomsma, DI; Posthuma, D; McGue, M; Wright, MJ; Smith, G Davey; Deary, IJ; Plomin, R; Visscher, PM

2014-01-01

Intelligence in childhood, as measured by psychometric cognitive tests, is a strong predictor of many important life outcomes, including educational attainment, income, health and lifespan. Results from twin, family and adoption studies are consistent with general intelligence being highly heritable and genetically stable throughout the life course. No robustly associated genetic loci or variants for childhood intelligence have been reported. Here, we report the first genome-wide association study (GWAS) on childhood intelligence (age range 6–18 years) from 17 989 individuals in six discovery and three replication samples. Although no individual single-nucleotide polymorphisms (SNPs) were detected with genome-wide significance, we show that the aggregate effects of common SNPs explain 22–46% of phenotypic variation in childhood intelligence in the three largest cohorts (P = 3.9 × 10−15, 0.014 and 0.028). FNBP1L, previously reported to be the most significantly associated gene for adult intelligence, was also significantly associated with childhood intelligence (P = 0.003). Polygenic prediction analyses resulted in a significant correlation between predictor and outcome in all replication cohorts. The proportion of childhood intelligence explained by the predictor reached 1.2% (P = 6 × 10−5), 3.5% (P = 10−3) and 0.5% (P = 6 × 10−5) in three independent validation cohorts. Given the sample sizes, these genetic prediction results are consistent with expectations if the genetic architecture of childhood intelligence is like that of body mass index or height. Our study provides molecular support for the heritability and polygenic nature of childhood intelligence. Larger sample sizes will be required to detect individual variants with genome-wide significance. PMID:23358156

Intelligence and neuroticism in relation to depression and psychological distress: Evidence from two large population cohorts.

PubMed

Navrady, L B; Ritchie, S J; Chan, S W Y; Kerr, D M; Adams, M J; Hawkins, E H; Porteous, D; Deary, I J; Gale, C R; Batty, G D; McIntosh, A M

2017-06-01

Neuroticism is a risk factor for selected mental and physical illnesses and is inversely associated with intelligence. Intelligence appears to interact with neuroticism and mitigate its detrimental effects on physical health and mortality. However, the inter-relationships of neuroticism and intelligence for major depressive disorder (MDD) and psychological distress has not been well examined. Associations and interactions between neuroticism and general intelligence (g) on MDD, self-reported depression, and psychological distress were examined in two population-based cohorts: Generation Scotland: Scottish Family Health Study (GS:SFHS, n=19,200) and UK Biobank (n=90,529). The Eysenck Personality Scale Short Form-Revised measured neuroticism and g was extracted from multiple cognitive ability tests in each cohort. Family structure was adjusted for in GS:SFHS. Neuroticism was strongly associated with increased risk for depression and higher psychological distress in both samples. Although intelligence conferred no consistent independent effects on depression, it did increase the risk for depression across samples once neuroticism was adjusted for. Results suggest that higher intelligence may ameliorate the association between neuroticism and self-reported depression although no significant interaction was found for clinical MDD. Intelligence was inversely associated with psychological distress across cohorts. A small interaction was found across samples such that lower psychological distress associates with higher intelligence and lower neuroticism, although effect sizes were small. From two large cohort studies, our findings suggest intelligence acts a protective factor in mitigating the effects of neuroticism on psychological distress. Intelligence does not confer protection against diagnosis of depression in those high in neuroticism. Copyright © 2017 The Authors. Published by Elsevier Masson SAS.. All rights reserved.

Attention and Working Memory as Predictors of Intelligence

ERIC Educational Resources Information Center

Schweizer, Karl; Moosbrugger, Helfried

2004-01-01

The paper reports on an investigation of attention and working memory as sources of intelligence. The investigation was concentrated on the relatedness of attention and working memory as predictors of intelligence and on the structure underlying the prediction. In a sample of 120 participants, intelligence was assessed by the Advanced Progressive…

An Assessment of the Methods Used to Determine Resource Requirements for Enlisted Initial Entry Training.

DTIC Science & Technology

1980-05-01

policy and force structure to insure currency with changes which occur too late to be considered in the PIA process. The Active Army requirements plus...Army Trainees) Outputs Inputs General Skill Training 60,632 70,220 General Intelligence Skill Training 1,406 1,496 Crypto /SIGNINT Related Skill...Skill Training: Manpower = 352 + .234 W - CRYPTO /SIGINT Skill Training: Manpower = 486 + .237 W o Air Force (HQ USAF and ATC formula): A Instructors A

Natural Language Processing for Joint Fire Observer Training

DTIC Science & Technology

2010-11-01

training system. However, many of the tasks an operator performs are routine and can be automated. The Intelligent Operator Training Assistant ( IOTA ) is...whole JFETS training session might be handled by the IOTA . In other cases, where the soldier departs from pre-defined parameters, the human operator...is able to take over control of the session from the IOTA until the soldier is back within the established parameters. We enable this flexibility

Relationship between Emotional Intelligence and Mental Health in School Counselors (Relación entre Inteligencia Emocional y salud mental en Orientadores Educativos)

ERIC Educational Resources Information Center

Cejudo, Javier

2016-01-01

Introduction: The purpose of the present research is aimed at studying the relationship between emotional intelligence as an ability and emotional intelligence as a trait and mental health of a sample of school counsellors. Method: The sample has been made up of 203 school counsellors. The instruments used have been: Mayer-Salovey-Caruso Emotional…

Threshold Theory Tested in an Organizational Setting: The Relation between Perceived Innovativeness and Intelligence in a Large Sample of Leaders

ERIC Educational Resources Information Center

Christensen, Bo T.; Hartmann, Peter V. W.; Rasmussen, Thomas Hedegaard

2017-01-01

A large sample of leaders (N = 4257) was used to test the link between leader innovativeness and intelligence. The threshold theory of the link between creativity and intelligence assumes that below a certain IQ level (approximately IQ 120), there is some correlation between IQ and creative potential, but above this cutoff point, there is no…

Heartless and cunning? Intelligence in adolescents with antisocial behavior and psychopathic traits.

PubMed

Allen, Jennifer L; Briskman, Jacqueline; Humayun, Sajid; Dadds, Mark R; Scott, Stephen

2013-12-30

Clinical theory predicts that individuals high in psychopathic traits possess average or above average intelligence; however findings in adult and child samples have been mixed. The present study aimed to investigate (1) the relationship between verbal and nonverbal intelligence and the three dimensions of psychopathy (callous-unemotional (CU) traits, narcissism, impulsivity); and (2) whether these dimensions moderate the association between verbal and nonverbal intelligence and the severity of antisocial behavior. Participants were 361 adolescents aged 9-18 years (68% boys) and their parents, drawn from four samples with different levels of risk for antisocial behavior. Families were disadvantaged and 25% were from an ethnic minority. Verbal intelligence was unrelated to parent-reported CU traits, narcissism or impulsivity after controlling for gender, sociodemographic disadvantage, sample, antisocial behavior and hyperactivity. Narcissism, but not CU traits or impulsivity, was significantly related to lower nonverbal IQ. None of the three psychopathic trait dimensions moderated the relationship between verbal or nonverbal IQ and antisocial behavior. CU traits, narcissism, hyperactivity and inclusion in the very high or high risk samples were significantly related to more severe antisocial behavior. Results contradict the widely held view that psychopathic traits are associated with better than average verbal or nonverbal intelligence. Crown Copyright © 2013 Published by Elsevier Ireland Ltd. All rights reserved.

A Novel Artificial Intelligence System for Endotracheal Intubation.

PubMed

Carlson, Jestin N; Das, Samarjit; De la Torre, Fernando; Frisch, Adam; Guyette, Francis X; Hodgins, Jessica K; Yealy, Donald M

2016-01-01

Adequate visualization of the glottic opening is a key factor to successful endotracheal intubation (ETI); however, few objective tools exist to help guide providers' ETI attempts toward the glottic opening in real-time. Machine learning/artificial intelligence has helped to automate the detection of other visual structures but its utility with ETI is unknown. We sought to test the accuracy of various computer algorithms in identifying the glottic opening, creating a tool that could aid successful intubation. We collected a convenience sample of providers who each performed ETI 10 times on a mannequin using a video laryngoscope (C-MAC, Karl Storz Corp, Tuttlingen, Germany). We recorded each attempt and reviewed one-second time intervals for the presence or absence of the glottic opening. Four different machine learning/artificial intelligence algorithms analyzed each attempt and time point: k-nearest neighbor (KNN), support vector machine (SVM), decision trees, and neural networks (NN). We used half of the videos to train the algorithms and the second half to test the accuracy, sensitivity, and specificity of each algorithm. We enrolled seven providers, three Emergency Medicine attendings, and four paramedic students. From the 70 total recorded laryngoscopic video attempts, we created 2,465 time intervals. The algorithms had the following sensitivity and specificity for detecting the glottic opening: KNN (70%, 90%), SVM (70%, 90%), decision trees (68%, 80%), and NN (72%, 78%). Initial efforts at computer algorithms using artificial intelligence are able to identify the glottic opening with over 80% accuracy. With further refinements, video laryngoscopy has the potential to provide real-time, direction feedback to the provider to help guide successful ETI.

SAFARI: An Environment for Creating Tutoring Systems in Industrial Training.

ERIC Educational Resources Information Center

Gecsei, J.; Frasson, C.

Safari is a cooperative project involving four Quebec universities, two industrial partners (Virtual Prototypes, Inc., providing the VAPS software package, and Novasys, Inc., a consulting firm specializing in artificial intelligence and training), and government. VAPS (Virtual Applications Prototyping System) is a commercial interface-building and…

Assessment in School Psychology Training and Practice.

ERIC Educational Resources Information Center

Wilson, Marilyn S.; Reschly, Daniel J.

1996-01-01

Examines the empirical analysis of assessment instruments currently used by school psychologists. Wechsler Intelligence Scales, Bender-Gestalt, and Draw-A-Person are the instruments most often used by the 251 practitioners surveyed. Data found a strong relationship between training and practice. Discusses the effectiveness of current measures used…

Using artificial intelligence to predict the risk for posterior capsule opacification after phacoemulsification.

PubMed

Mohammadi, Seyed-Farzad; Sabbaghi, Mostafa; Z-Mehrjardi, Hadi; Hashemi, Hassan; Alizadeh, Somayeh; Majdi, Mercede; Taee, Farough

2012-03-01

To apply artificial intelligence models to predict the occurrence of posterior capsule opacification (PCO) after phacoemulsification. Farabi Eye Hospital, Tehran, Iran. Clinical-based cross-sectional study. The posterior capsule status of eyes operated on for age-related cataract and the need for laser capsulotomy were determined. After a literature review, data polishing, and expert consultation, 10 input variables were selected. The QUEST algorithm was used to develop a decision tree. Three back-propagation artificial neural networks were constructed with 4, 20, and 40 neurons in 2 hidden layers and trained with the same transfer functions (log-sigmoid and linear transfer) and training protocol with randomly selected eyes. They were then tested on the remaining eyes and the networks compared for their performance. Performance indices were used to compare resultant models with the results of logistic regression analysis. The models were trained using 282 randomly selected eyes and then tested using 70 eyes. Laser capsulotomy for clinically significant PCO was indicated or had been performed 2 years postoperatively in 40 eyes. A sample decision tree was produced with accuracy of 50% (likelihood ratio 0.8). The best artificial neural network, which showed 87% accuracy and a positive likelihood ratio of 8, was achieved with 40 neurons. The area under the receiver-operating-characteristic curve was 0.71. In comparison, logistic regression reached accuracy of 80%; however, the likelihood ratio was not measurable because the sensitivity was zero. A prototype artificial neural network was developed that predicted posterior capsule status (requiring capsulotomy) with reasonable accuracy. No author has a financial or proprietary interest in any material or method mentioned. Copyright © 2012 ASCRS and ESCRS. Published by Elsevier Inc. All rights reserved.

Experimental But Not Sex Differences of a Mental Rotation Training Program on Adolescents

PubMed Central

Rodán, Antonio; Contreras, María José; Elosúa, M. Rosa; Gimeno, Patricia

2016-01-01

Given the importance of visuospatial processing in areas related to the STEM (Science, Technology, Engineering, and Mathematics) disciplines, where there is still a considerable gap in the area of sex differences, the interest in the effects of visuospatial skills training continues to grow. Therefore, we have evaluated the visuospatial improvement of adolescents after performing a computerized mental rotation training program, as well as the relationship of this visuospatial ability with other cognitive, emotional factors and those factors based on the experience with videogames. The study, which was performed on students aged 14 and 15 years old, showed a significant improvement in this visuospatial skill for a training group (n = 21) compared to a control group (n = 24). Furthermore, no significant sex differences were obtained for spatial ability or for any of the other tasks evaluated, either before or after training. Regarding the relationship between skills, a significant correlation between experience with video games and spatial ability was found, as well as between mathematical reasoning and intelligence and with spatial ability in the initial phase for the total sample. These findings are discussed from a cognitive point of view and within the current sociocultural context, where the equal use of new technologies could help reduce the visuospatial gap between sexes. PMID:27462290

Experimental But Not Sex Differences of a Mental Rotation Training Program on Adolescents.

PubMed

Rodán, Antonio; Contreras, María José; Elosúa, M Rosa; Gimeno, Patricia

2016-01-01

Given the importance of visuospatial processing in areas related to the STEM (Science, Technology, Engineering, and Mathematics) disciplines, where there is still a considerable gap in the area of sex differences, the interest in the effects of visuospatial skills training continues to grow. Therefore, we have evaluated the visuospatial improvement of adolescents after performing a computerized mental rotation training program, as well as the relationship of this visuospatial ability with other cognitive, emotional factors and those factors based on the experience with videogames. The study, which was performed on students aged 14 and 15 years old, showed a significant improvement in this visuospatial skill for a training group (n = 21) compared to a control group (n = 24). Furthermore, no significant sex differences were obtained for spatial ability or for any of the other tasks evaluated, either before or after training. Regarding the relationship between skills, a significant correlation between experience with video games and spatial ability was found, as well as between mathematical reasoning and intelligence and with spatial ability in the initial phase for the total sample. These findings are discussed from a cognitive point of view and within the current sociocultural context, where the equal use of new technologies could help reduce the visuospatial gap between sexes.

Predictors of performance improvements within a cognitive remediation program for schizophrenia.

PubMed

Scheu, Florian; Aghotor, Julia; Pfueller, Ute; Moritz, Steffen; Bohn, Francesca; Weisbrod, Matthias; Roesch-Ely, Daniela

2013-10-30

Cognitive impairment is regarded a core feature of schizophrenia and is associated with low psychosocial functioning. There is rich evidence that cognitive remediation can improve cognitive functions in patients with schizophrenia. However, little is known about what predicts individual remediation success. Some studies suggest that baseline cognitive impairment might be a limiting factor for training response. Aim of the current study was to further examine the role of cognitive and symptom variables as predictors of remediation success. We studied a total sample of 32 patients with schizophrenia and schizoaffective disorder who were engaged in a computer-based cognitive training program (CogPack). A pre-training test battery provided cognitive measures of selective attention, executive functioning, processing speed, verbal memory, and verbal intelligence along with measures for positive and negative symptoms. Training response was defined as improvement on training tasks. Correlation analyses revealed no significant relationship between any of the baseline cognitive or symptom measures and improvement rates. However, better baseline cognition was associated with a higher percentage of tasks with initial ceiling effects. We conclude that not carefully tailoring task difficulty to patients' cognitive abilities constitutes a much more severe threat to cognitive remediation success than cognitive impairment itself. © 2013 Elsevier Ireland Ltd. All rights reserved.

Negligible Sex Differences in General Intelligence.

ERIC Educational Resources Information Center

Colom, Roberto; Juan-Espinosa, Manuel; Abad, Francisco; Garcia, Luis F.

2000-01-01

Studied sex differences in general intelligence in 10,475 adults taking cognitive test batteries. Results suggest a negligible difference in general intelligence, a finding consistent with findings from quite different test batteries and subject samples. (SLD)

Intelligent fault diagnosis of rolling bearings using an improved deep recurrent neural network

NASA Astrophysics Data System (ADS)

Jiang, Hongkai; Li, Xingqiu; Shao, Haidong; Zhao, Ke

2018-06-01

Traditional intelligent fault diagnosis methods for rolling bearings heavily depend on manual feature extraction and feature selection. For this purpose, an intelligent deep learning method, named the improved deep recurrent neural network (DRNN), is proposed in this paper. Firstly, frequency spectrum sequences are used as inputs to reduce the input size and ensure good robustness. Secondly, DRNN is constructed by the stacks of the recurrent hidden layer to automatically extract the features from the input spectrum sequences. Thirdly, an adaptive learning rate is adopted to improve the training performance of the constructed DRNN. The proposed method is verified with experimental rolling bearing data, and the results confirm that the proposed method is more effective than traditional intelligent fault diagnosis methods.

Lies and coercion: why psychiatrists should not participate in police and intelligence interrogations.

PubMed

Janofsky, Jeffrey S

2006-01-01

Police interrogators routinely use deceptive techniques to obtain confessions from criminal suspects. The United States Executive Branch has attempted to justify coercive interrogation techniques in which physical or mental pain and suffering may be used during intelligence interrogations of persons labeled unlawful combatants. It may be appropriate for law enforcement, military, or intelligence personnel who are not physicians to use such techniques. However, forensic psychiatry ethical practice requires honesty, striving for objectivity, and respect for persons. Deceptive and coercive interrogation techniques violate these moral values. When a psychiatrist directly uses, works with others who use, or trains others to use deceptive or coercive techniques to obtain information in police, military, or intelligence interrogations, the psychiatrist breaches basic principles of ethics.

Training the intelligent eye: understanding illustrations in early modern astronomy texts.

PubMed

Crowther, Kathleen M; Barker, Peter

2013-09-01

Throughout the early modern period, the most widely read astronomical textbooks were Johannes de Sacrobosco's De sphaera and the Theorica planetarum, ultimately in the new form introduced by Georg Peurbach. This essay argues that the images in these texts were intended to develop an "intelligent eye." Students were trained to transform representations of specific heavenly phenomena into moving mental images of the structure of the cosmos. Only by learning the techniques of mental visualization and manipulation could the student "see" in the mind's eye the structure and motions of the cosmos. While anyone could look up at the heavens, only those who had acquired the intelligent eye could comprehend the divinely created order of the universe. Further, the essay demonstrates that the visual program of the Sphaera and Theorica texts played a significant and hitherto unrecognized role in later scientific work. Copernicus, Galileo, and Kepler all utilized the same types of images in their own texts to explicate their ideas about the cosmos.

CBT Pilot Program Instructional Guide. Basic Drafting Skills Curriculum Delivered through CAD Workstations and Artificial Intelligence Software.

ERIC Educational Resources Information Center

Smith, Richard J.; Sauer, Mardelle A.

This guide is intended to assist teachers in using computer-aided design (CAD) workstations and artificial intelligence software to teach basic drafting skills. The guide outlines a 7-unit shell program that may also be used as a generic authoring system capable of supporting computer-based training (CBT) in other subject areas. The first section…

Developing Tomorrows Space War Fighter: The Argument for Contracting Out Satellite Operations

DTIC Science & Technology

2015-12-01

intelligence agencies to operate in a de- nied or degraded space environment through focused education, training, and exercises and through new doctrine...Integrated Defending space will be a team effort that will involve contributions of the intelligence community, commercial partners, and allied...Operations We will build a more diverse and balanced workforce among military, civilian, and contractor components. These professionals must be educated

Music and Dyslexia: The Therapeutic Use of Instrument (Piano) Training with a Child with Dyslexia (A Case Study)

ERIC Educational Resources Information Center

Eren, Bilgehan

2017-01-01

Dyslexia is defined as a difficulty in learning at an expected level according to age, intelligence and education that is given, even though the intelligence level of the individual is normal or above normal. Individuals with dyslexia have difficulties in many developmental areas that can be considered in the scope of music therapy. Interventions…

Centers of Stability Analysis - The Missing Framework in Joint Intelligence Preparation of the Operational Environment Doctrine

DTIC Science & Technology

2011-05-04

UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION REPORT NUMBER...13 The general considerations for shaping operations are to organize and train forces, rehearse for future actions, maintaining operational area...threat. In reality, however, a prudent intelligence organization will begin to develop these products as indications develop that the shaping

Multiple Intelligences Profiles of Junior Secondary School Students in Indonesia

ERIC Educational Resources Information Center

Emmiyati, Nuri; Rasyid, Muhammad Amin; Rahman, M. Asfah; Arsyad, Azhar; Dirawan, Gufran Darma

2014-01-01

This study aimed to investigate the Multiple Intelligences profiles of the students at junior secondary school in Makassar. The Multiple Intelligences Inventory was used to identify the dominant intelligence among the students. The sample of this research was 302 junior secondary schools students in Makassar Indonesia who willing to participated…

Emotional Intelligence, Self-Efficacy, and Coping among Chinese Prospective and In-Service Teachers in Hong Kong

ERIC Educational Resources Information Center

Chan, David W.

2008-01-01

Emotional intelligence (intrapersonal and interpersonal) and general teacher self-efficacy were assessed to represent personal resources facilitating active and passive coping in a sample of 273 Chinese prospective and in-service teachers in Hong Kong. Intrapersonal emotional intelligence and interpersonal emotional intelligence were found to…

Exploring emotional intelligence in a Caribbean medical school.

PubMed

Sa, B; Baboolal, N; Williams, S; Ramsewak, S

2014-03-01

To explore the emotional intelligence (EI) in medical students in a Caribbean medical school and investigate its association with gender, age, year of study and ethnicity. A cross-sectional design using convenient sampling of 304 years two to five undergraduate medical students at the School of Medicine, the University of the West Indies (UWI), St Augustine campus, was conducted. The Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT-V2.0) was administered to test four branches of EI: perceiving emotions, facilitating thought, understanding emotions and managing emotions. Data were analysed using SPSS version 19. T-test, analysis of variance (ANOVA) and r (product moment correlation) were calculated to establish the effects of selected variables (gender, age, year of study and ethnicity) on total and sub-scales EI scores and tested against 0.05 and 0.01 significance levels. The total mean score for EI fell within the average according to MSCEIT standards. Gender analysis showed significantly higher scores for males and for younger age groups (< 25 years). Year of study and ethnicity did not yield any significant effect. These findings of higher EI scores in males and younger students are unusual, given the well-publicized stereotype of the Caribbean male and the perception that advancing age brings maturity and emotional stability. It would be valuable to widen this study by including other UWI campuses and offshore medical schools in the Caribbean. This preliminary study examined a sample of medical students from a well-established Caribbean medical school. Since EI is considered to be important in the assessment and training of medical undergraduates, consideration should be given to introducing interventions aimed at increasing EI.

Exploring Emotional Intelligence in a Caribbean Medical School

PubMed Central

Sa, B; Baboolal, N; Williams, S; Ramsewak, S

2014-01-01

Objective: To explore the emotional intelligence (EI) in medical students in a Caribbean medical school and investigate its association with gender, age, year of study and ethnicity. Design and Methods: A cross-sectional design using convenient sampling of 304 years two to five undergraduate medical students at the School of Medicine, The University of the West Indies (UWI), St Augustine campus, was conducted. The Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT-V2.0) was administered to test four branches of EI: perceiving emotions, facilitating thought, understanding emotions and managing emotions. Data were analysed using SPSS version 19. T-test, analysis of variance (ANOVA) and r (product moment correlation) were calculated to establish the effects of selected variables (gender, age, year of study and ethnicity) on total and sub-scales EI scores and tested against 0.05 and 0.01 significance levels. Results: The total mean score for EI fell within the average according to MSCEIT standards. Gender analysis showed significantly higher scores for males and for younger age groups (< 25 years). Year of study and ethnicity did not yield any significant effect. Conclusions: These findings of higher EI scores in males and younger students are unusual, given the well-publicized stereotype of the Caribbean male and the perception that advancing age brings maturity and emotional stability. It would be valuable to widen this study by including other UWI campuses and offshore medical schools in the Caribbean. This preliminary study examined a sample of medical students from a well-established Caribbean medical school. Since EI is considered to be important in the assessment and training of medical undergraduates, consideration should be given to introducing interventions aimed at increasing EI. PMID:25303251

Working memory - not processing speed - mediates fluid intelligence deficits associated with attention deficit/hyperactivity disorder symptoms.

PubMed

Brydges, Christopher R; Ozolnieks, Krista L; Roberts, Gareth

2017-09-01

Attention deficit/hyperactivity disorder (ADHD) is a psychological condition characterized by inattention and hyperactivity. Cognitive deficits are commonly observed in ADHD patients, including impaired working memory, processing speed, and fluid intelligence, the three of which are theorized to be closely associated with one another. In this study, we aimed to determine if decreased fluid intelligence was associated with ADHD, and was mediated by deficits in working memory and processing speed. This study tested 142 young adults from the general population on a range of working memory, processing speed, and fluid intelligence tasks, and an ADHD self-report symptoms questionnaire. Results showed that total and hyperactive ADHD symptoms correlated significantly and negatively with fluid intelligence, but this association was fully mediated by working memory. However, inattentive symptoms were not associated with fluid intelligence. Additionally, processing speed was not associated with ADHD symptoms at all, and was not uniquely predictive of fluid intelligence. The results provide implications for working memory training programs for ADHD patients, and highlight potential differences between the neuropsychological profiles of ADHD subtypes. © 2015 The British Psychological Society.

Using a computer-based simulation with an artificial intelligence component and discovery learning to formulate training needs for a new technology

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hillis, D.R.

A computer-based simulation with an artificial intelligence component and discovery learning was investigated as a method to formulate training needs for new or unfamiliar technologies. Specifically, the study examined if this simulation method would provide for the recognition of applications and knowledge/skills which would be the basis for establishing training needs. The study also examined the effect of field-dependence/independence on recognition of applications and knowledge/skills. A pretest-posttest control group experimental design involving fifty-eight college students from an industrial technology program was used. The study concluded that the simulation was effective in developing recognition of applications and the knowledge/skills for amore » new or unfamiliar technology. And, the simulation's effectiveness for providing this recognition was not limited by an individual's field-dependence/independence.« less

Arthur C. Graesser: Award for Distinguished Contributions of Applications of Psychology to Education and Training.

PubMed

2011-11-01

Presents Arthur C. Graesser as the 2011 winner of the American Psychological Association Award for Distinguished Contributions of Applications of Psychology to Education and Training. "As a multifaceted psychologist, cognitive engineer of useful education and training technologies, and mentor of new talent for the world of applied and translational cognitive science, Arthur C. Graesser is the perfect role model, showing how a strong scholar and intellect can shape both research and practice. His work is a mix of top-tier scholarship in psychology, education, intelligent systems, and computational linguistics. He combines cognitive science excellence with bold use of psychological knowledge and intelligent systems to design new generations of learning opportunities and to help lay the foundation for a translational science of learning." (PsycINFO Database Record (c) 2011 APA, all rights reserved). 2011 APA, all rights reserved

Structural Equation Analysis of the Wechsler Adult Intelligence Scale-Revised in a Normal Elderly Sample.

ERIC Educational Resources Information Center

Burton, D. Bradley; And Others

1994-01-01

A maximum-likelihood confirmatory factor analysis was performed by applying LISREL VII to the Wechsler Adult Intelligence Scale-Revised results of a normal elderly sample of 225 adults. Results indicate that a three-factor model fits best across all sample combinations. A mild gender effect is discussed. (SLD)

DOD Training: Many DOD Linguists Do Not Meet Minimum Proficiency Standards. Report to the Chairman, Committee on Appropriations, U.S. Senate.

ERIC Educational Resources Information Center

General Accounting Office, Washington, DC. National Security and International Affairs Div.

The report, from the General Accounting Office to the chairman of the Senate's committee on appropriations, responds to a request for review of Department of Defense (DOD) training of linguists engaged in intelligence-related activities. It summarizes its examination of: (1) the language and technical training provided to DOD linguistics; and (2)…

Evaluation of a Short-Term Computer-Assisted Training Programme for the Remediation of Attentional Deficits after Brain Injury: A Preliminary Study.

ERIC Educational Resources Information Center

Gauggel, S.; Niemann, T.

1996-01-01

This study evaluated a computer-assisted training program used by four patients (ages 40 to 53) who had attentional deficits caused by cerebrovascular accident and closed head injury. Patients demonstrated improvements in training tasks, attention, and visual memory, but no improvements in two verbal memory tests and a general intelligence test.…

Sex and Training Differences in Mental Rotation: A Behavioral and Neurophysiological Comparison of Gifted Achievers, Gifted Underachievers and Average Intelligent Achievers

ERIC Educational Resources Information Center

Bergner, Sabine; Neubauer, Aljoscha C.

2011-01-01

A male advantage in spatial abilities is assumed to underlie their superior performance in complex mathematical problems. In this study we investigated whether sex differences in mental rotation (MR) tasks are related to female underachievement and whether training effects of a MR training can be generalized across achievers and underachievers.…

Just What Do We Mean by "Investment"?

ERIC Educational Resources Information Center

Carr, Clay

1989-01-01

Discusses the need to develop ways of measuring the cost effectiveness of investment in employee training. Examples of employees with various training needs and their possible impact on the organization are presented, the replacement of humans with machine intelligence is discussed, and the application of performance technology is suggested. (LRW)

Bus Training Handbook.

ERIC Educational Resources Information Center

Dorny, Audrea; Cole, ChiKay

This manual presents guidelines for teaching students with disabilities necessary skills for safe and independent travel on public buses. Six guidelines for teachers include: (1) participate in bus training; (2) use wise and intelligent judgment; (3) utilize the bus checklist; (4) know and teach bus rules; (5) know bus routes; and (6) know bus…

Application of Adaptive Decision Aiding Systems to Computer-Assisted Instruction. Final Report, January-December 1974.

ERIC Educational Resources Information Center

May, Donald M.; And Others

The minicomputer-based Computerized Diagnostic and Decision Training (CDDT) system described combines the principles of artificial intelligence, decision theory, and adaptive computer assisted instruction for training in electronic troubleshooting. The system incorporates an adaptive computer program which learns the student's diagnostic and…

On Training Generalized Thinking.

ERIC Educational Resources Information Center

Kahn, James V.

A two-phased training study attempted (1) to accelerate the rate at which a total of 8 severely and profoundly retarded children (mean age 57 months) developed the Piagetian concept of object permanence and (2) to demonstrate generalization of the higher performance on object permanence scale to other scales of sensorimotor intelligence and to the…

An Intelligent Simulator for Telerobotics Training

ERIC Educational Resources Information Center

Belghith, K.; Nkambou, R.; Kabanza, F.; Hartman, L.

2012-01-01

Roman Tutor is a tutoring system that uses sophisticated domain knowledge to monitor the progress of students and advise them while they are learning how to operate a space telerobotic system. It is intended to help train operators of the Space Station Remote Manipulator System (SSRMS) including astronauts, operators involved in ground-based…

Comparing the Effects of Derived Relational Training and Computer Coding on Intellectual Potential in School-Age Children

ERIC Educational Resources Information Center

Hayes, Jennifer; Stewart, Ian

2016-01-01

Background: Previous research found that pre-teenage ability to derive arbitrary "same," "opposite," "more," and "less" relations correlated with measured intelligence quotient (IQ) and that training this "derived relational responding" (DRR) skill produced substantial IQ rises. Aims: This study…

Music Exposure and the Development of Spatial Intelligence in Children.

ERIC Educational Resources Information Center

Rauscher, Frances H.

1999-01-01

Presents research on the effects of music instruction on spatial-temporal reasoning in children. Summarizes past studies that tested whether music training transfers to spatial-temporal task performance. A work-in-progress focuses on whether music training can improve economically-disadvantaged preschoolers' abstract reasoning and why…

StairStepper: An Adaptive Remedial iSTART Module

ERIC Educational Resources Information Center

Perret, Cecile A.; Johnson, Amy M.; McCarthy, Kathryn S.; Guerrero, Tricia A.; Dai, Jianmin; McNamara, Danielle S.

2017-01-01

This paper introduces StairStepper, a new addition to Interactive Strategy Training for Active Reading and Thinking (iSTART), an intelligent tutoring system (ITS) that provides adaptive self-explanation training and practice. Whereas iSTART focuses on improving comprehension at levels geared toward answering challenging questions associated with…

When nurse emotional intelligence matters: How transformational leadership influences intent to stay.

PubMed

Wang, Lin; Tao, Hong; Bowers, Barbara J; Brown, Roger; Zhang, Yaqing

2018-05-01

The purpose of this study was to examine the role of staff nurse emotional intelligence between transformational leadership and nurse intent to stay. Nurse intent to stay and transformational leadership are widely recognized as vital components of nurse retention. Staff nurse emotional intelligence that has been confirmed improvable has been recently recognized in the nursing literature as correlated with retention. Yet, the nature of the relationships among these three variables is not known. Cross-sectional data for 535 Chinese nurses were analysed using Structural Equation Modelling. Transformational leadership and staff nurse emotional intelligence were significant predictors of nurse intent to stay, accounting for 34.3% of the variance in nurse intent to stay. Staff nurse emotional intelligence partially mediates the relationship between transformational leadership and nurse intent to stay. The findings of the study emphasized the importance of transformational leadership in enhancing nurse emotional intelligence and to provide a deeper understanding of the mediating role of emotional intelligence in the relationship between nurse manager's transformational leadership and nurse's intent to stay. Nurse leaders should develop training programmes to improve nursing manager transformational leadership and staff nurse emotional intelligence in the workplace. © 2018 John Wiley & Sons Ltd.

Reliable gains? Evidence for substantially underpowered designs in studies of working memory training transfer to fluid intelligence.

PubMed

Bogg, Tim; Lasecki, Leanne

2014-01-01

In recent years, cognitive scientists and commercial interests (e.g., Fit Brains, Lumosity) have focused research attention and financial resources on cognitive tasks, especially working memory tasks, to explore and exploit possible transfer effects to general cognitive abilities, such as fluid intelligence. The increased research attention has produced mixed findings, as well as contention about the disposition of the evidence base. To address this contention, Au et al. (2014) recently conducted a meta-analysis of extant controlled experimental studies of n-back task training transfer effects on measures of fluid intelligence in healthy adults; the results of which showed a small training transfer effect. Using several approaches, the current review evaluated and re-analyzed the meta-analytic data for the presence of two different forms of small-study effects: (1) publication bias in the presence of low power and; (2) low power in the absence of publication bias. The results of these approaches showed no evidence of selection bias in the working memory training literature, but did show evidence of small-study effects related to low power in the absence of publication bias. While the effect size estimate identified by Au et al. (2014) provided the most precise estimate to date, it should be interpreted in the context of a uniformly low-powered base of evidence. The present work concludes with a brief set of considerations for assessing the adequacy of a body of research findings for the application of meta-analytic techniques.

Mediational role of parenting styles in emotional intelligence of parents and aggression among adolescents.

PubMed

Batool, Syeda Shahida; Bond, Rod

2015-06-01

The present study was designed to examine the relationship between parents' emotional intelligence and adolescents' aggression, through the mediation of parenting styles. Two hundred and twenty five undergraduate students (113 boys & 112 girls; age 17-18 years), from four universities in Pakistan, participated with their parents. The Parenting Styles and Dimensions Questionnaire (Robinson, Mandleco, Olsen, & Hart, 1995), and the Scale of Emotional Intelligence (Batool & Khalid, 2011) were completed by parents. The Aggression Questionnaire (Buss & Perry, 1992) was completed by their adolescent offspring. Mediational path analysis supported our hypothesised model. Results indicate that emotional intelligence of parents indirectly links to aggression among offspring, through parenting styles. It was concluded that emotional intelligence training will help parents to improve their parenting styles, and it will lower the risk of aggression in their children. © 2014 International Union of Psychological Science.

Development of an intelligent surgical training system for Thoracentesis.

PubMed

Nakawala, Hirenkumar; Ferrigno, Giancarlo; De Momi, Elena

2018-01-01

Surgical training improves patient care, helps to reduce surgical risks, increases surgeon's confidence, and thus enhances overall patient safety. Current surgical training systems are more focused on developing technical skills, e.g. dexterity, of the surgeons while lacking the aspects of context-awareness and intra-operative real-time guidance. Context-aware intelligent training systems interpret the current surgical situation and help surgeons to train on surgical tasks. As a prototypical scenario, we chose Thoracentesis procedure in this work. We designed the context-aware software framework using the surgical process model encompassing ontology and production rules, based on the procedure descriptions obtained through textbooks and interviews, and ontology-based and marker-based object recognition, where the system tracked and recognised surgical instruments and materials in surgeon's hands and recognised surgical instruments on the surgical stand. The ontology was validated using annotated surgical videos, where the system identified "Anaesthesia" and "Aspiration" phase with 100% relative frequency and "Penetration" phase with 65% relative frequency. The system tracked surgical swab and 50mL syringe with approximately 88.23% and 100% accuracy in surgeon's hands and recognised surgical instruments with approximately 90% accuracy on the surgical stand. Surgical workflow training with the proposed system showed equivalent results as the traditional mentor-based training regime, thus this work is a step forward a new tool for context awareness and decision-making during surgical training. Copyright © 2017 Elsevier B.V. All rights reserved.

Speech intelligibility in complex acoustic environments in young children

NASA Astrophysics Data System (ADS)

Litovsky, Ruth

2003-04-01

While the auditory system undergoes tremendous maturation during the first few years of life, it has become clear that in complex scenarios when multiple sounds occur and when echoes are present, children's performance is significantly worse than their adult counterparts. The ability of children (3-7 years of age) to understand speech in a simulated multi-talker environment and to benefit from spatial separation of the target and competing sounds was investigated. In these studies, competing sources vary in number, location, and content (speech, modulated or unmodulated speech-shaped noise and time-reversed speech). The acoustic spaces were also varied in size and amount of reverberation. Finally, children with chronic otitis media who received binaural training were tested pre- and post-training on a subset of conditions. Results indicated the following. (1) Children experienced significantly more masking than adults, even in the simplest conditions tested. (2) When the target and competing sounds were spatially separated speech intelligibility improved, but the amount varied with age, type of competing sound, and number of competitors. (3) In a large reverberant classroom there was no benefit of spatial separation. (4) Binaural training improved speech intelligibility performance in children with otitis media. Future work includes similar studies in children with unilateral and bilateral cochlear implants. [Work supported by NIDCD, DRF, and NOHR.

Age-related changes to spectral voice characteristics affect judgments of prosodic, segmental, and talker attributes for child and adult speech.

PubMed

Dilley, Laura C; Wieland, Elizabeth A; Gamache, Jessica L; McAuley, J Devin; Redford, Melissa A

2013-02-01

As children mature, changes in voice spectral characteristics co-vary with changes in speech, language, and behavior. In this study, spectral characteristics were manipulated to alter the perceived ages of talkers' voices while leaving critical acoustic-prosodic correlates intact, to determine whether perceived age differences were associated with differences in judgments of prosodic, segmental, and talker attributes. Speech was modified by lowering formants and fundamental frequency, for 5-year-old children's utterances, or raising them, for adult caregivers' utterances. Next, participants differing in awareness of the manipulation (Experiment 1A) or amount of speech-language training (Experiment 1B) made judgments of prosodic, segmental, and talker attributes. Experiment 2 investigated the effects of spectral modification on intelligibility. Finally, in Experiment 3, trained analysts used formal prosody coding to assess prosodic characteristics of spectrally modified and unmodified speech. Differences in perceived age were associated with differences in ratings of speech rate, fluency, intelligibility, likeability, anxiety, cognitive impairment, and speech-language disorder/delay; effects of training and awareness of the manipulation on ratings were limited. There were no significant effects of the manipulation on intelligibility or formally coded prosody judgments. Age-related voice characteristics can greatly affect judgments of speech and talker characteristics, raising cautionary notes for developmental research and clinical work.

Comparison of learning preferences of Turkish children who had been applied cochlear implantation in Turkey and Germany according to theory of multiple intelligence.

PubMed

Sahli, Sanem; Laszig, Roland; Aschendorff, Antje; Kroeger, Stefanie; Wesarg, Thomas; Belgin, Erol

2011-12-01

The aim of the study is to determinate the using dominant multiple intelligence types and compare the learning preferences of Turkish cochlear implanted children aged four to ten in Turkey and Germany according to Theory of multiple intelligence. The study has been conducted on a total of 80 children and four groups in Freiburg/Germany and Ankara/Turkey. The applications have been done in University of Freiburg, Cochlear Implant Center in Germany, and University of Hacettepe, ENT Department, Audiology and Speech Pathology Section in Turkey. In this study, the data have been collected by means of General Information Form and Cochlear Implant Information Form applied to parents. To determine the dominant multiple intelligence types of children, the TIMI (Teele Inventory of Multiple Intelligences) which was developed by Sue Teele have been used. The study results exposed that there was not a statistically significant difference on dominant intelligence areas and averages of scores of multiple intelligence types in control groups (p>0.05). Although, the dominant intelligence areas were different (except for first dominant intelligence) in cochlear implanted children in Turkey and Germany, there was not a statistically significant difference on averages of scores of dominant multiple intelligence types. Every hearing impaired child who started training, should be evaluated in terms of multiple intelligence areas and identified strengths and weaknesses. Multiple intelligence activities should be used in their educational programs. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Age differences and interindividual variation in cognition in community-dwelling elderly.

PubMed

Christensen, H; Mackinnon, A; Jorm, A F; Henderson, A S; Scott, L R; Korten, A E

1994-09-01

The cognitive test performance of 897 community-dwelling elderly Ss, aged 70 years and over, was examined for age trends and interindividual variation. Data were subjected to factor analysis, and 3 factors emerged (Crystallized Intelligence, Fluid Intelligence, and Memory). Over the age span sampled, Crystallized Intelligence, Fluid Intelligence, and Memory all decreased with the decrease being greatest for Fluid Intelligence and least for Crystallized Intelligence. Interindividual variation increased for Fluid Intelligence and Memory, but not for Crystallized Intelligence. These findings give support to the view that crystallized intelligence is lower in the very old and that there is a greater degree of variability in test performance with advancing age.

Developing the Alphabetic Principle to Aid Text-Based Augmentative and Alternative Communication Use by Adults With Low Speech Intelligibility and Intellectual Disabilities

PubMed Central

Schmidt-Naylor, Anna C.; Brady, Nancy C.

2017-01-01

Purpose We explored alphabet supplementation as an augmentative and alternative communication strategy for adults with minimal literacy. Study 1's goal was to teach onset-letter selection with spoken words and assess generalization to untaught words, demonstrating the alphabetic principle. Study 2 incorporated alphabet supplementation within a naming task and then assessed effects on speech intelligibility. Method Three men with intellectual disabilities (ID) and low speech intelligibility participated. Study 1 used a multiple-probe design, across three 20-word sets, to show that our computer-based training improved onset-letter selection. We also probed generalization to untrained words. Study 2 taught onset-letter selection for 30 new words chosen for functionality. Five listeners transcribed speech samples of the 30 words in 2 conditions: speech only and speech with alphabet supplementation. Results Across studies 1 and 2, participants demonstrated onset-letter selection for at least 90 words. Study 1 showed evidence of the alphabetic principle for some but not all word sets. In study 2, participants readily used alphabet supplementation, enabling listeners to understand twice as many words. Conclusions This is the first demonstration of alphabet supplementation in individuals with ID and minimal literacy. The large number of words learned holds promise both for improving communication and providing a foundation for improved literacy. PMID:28474087

Effects of Parental Education Level on Fluid Intelligence of Philippine Public School Students

ERIC Educational Resources Information Center

Vista, Alvin D.; Grantham, Tarek C.

2010-01-01

This study examines the effect of parental education levels (PELs) on the fluid intelligence of Filipino public school students. The data were drawn from a normative study of a nonverbal intelligence test involving more than 2,700 students sampled across the country. As expected, PELs have a significant impact on fluid intelligence as measured…

Research on the transfer learning of the vehicle logo recognition

NASA Astrophysics Data System (ADS)

Zhao, Wei

2017-08-01

The Convolutional Neural Network of Deep Learning has been a huge success in the field of image intelligent transportation system can effectively solve the traffic safety, congestion, vehicle management and other problems of traffic in the city. Vehicle identification is a vital part of intelligent transportation, and the effective information in vehicles is of great significance to vehicle identification. With the traffic system on the vehicle identification technology requirements are getting higher and higher, the vehicle as an important type of vehicle information, because it should not be removed, difficult to change and other features for vehicle identification provides an important method. The current vehicle identification recognition (VLR) is mostly used to extract the characteristics of the method of classification, which for complex classification of its generalization ability to be some constraints, if the use of depth learning technology, you need a lot of training samples. In this paper, the method of convolution neural network based on transfer learning can solve this problem effectively, and it has important practical application value in the task of vehicle mark recognition.

Subcortical intelligence: caudate volume predicts IQ in healthy adults.

PubMed

Grazioplene, Rachael G; G Ryman, Sephira; Gray, Jeremy R; Rustichini, Aldo; Jung, Rex E; DeYoung, Colin G

2015-04-01

This study examined the association between size of the caudate nuclei and intelligence. Based on the central role of the caudate in learning, as well as neuroimaging studies linking greater caudate volume to better attentional function, verbal ability, and dopamine receptor availability, we hypothesized the existence of a positive association between intelligence and caudate volume in three large independent samples of healthy adults (total N = 517). Regression of IQ onto bilateral caudate volume controlling for age, sex, and total brain volume indicated a significant positive correlation between caudate volume and intelligence, with a comparable magnitude of effect across each of the three samples. No other subcortical structures were independently associated with IQ, suggesting a specific biological link between caudate morphology and intelligence. © 2014 Wiley Periodicals, Inc.

Do Intelligence and Sustained Attention Interact in Predicting Academic Achievement?

ERIC Educational Resources Information Center

Steinmayr, Ricarda; Ziegler, Mattias; Trauble, Birgit

2010-01-01

Research in clinical samples suggests that the relationship between intelligence and academic achievement might be moderated by sustained attention. The present study aimed to explore whether this interaction could be observed in a non-clinical sample. We investigated a sample of 11th and 12th grade students (N = 231). An overall performance score…

How to Train an Army of Intelligence Analysts

DTIC Science & Technology

2005-09-01

united during one moment in time by: the mutual need to empower indigenous security forces amidst crisis , the need to establish or improve a bilateral...will demonstrate the difference between the execution of a short- term, short- sighted commitment in a country engulfed in crisis and the use of...key terrain and the conduits of transnational and transcultural issues. Likewise, intelligence professionals in current and future nation building

Students in a Teacher College of Education Develop Educational Programs and Activities Related to Intelligent Use of the Web: Cultivating New Knowledge

ERIC Educational Resources Information Center

Wadmany, Rivka; Zeichner, Orit; Melamed, Orly

2014-01-01

Students in a teacher training college in Israel have developed and taught curricula on the intelligent use of the Web. The educational programs were based on activities thematically related to the world of digital citizenship, such as the rights of the child and the Internet, identity theft, copyrights, freedom of expression and its limitations,…

The ZOG Technology Demonstration Project: A System Evaluation of USS CARL VINSON (CVN 70)

DTIC Science & Technology

1984-12-01

part of a larger project involving development of a wide range of computer technologies, including artifcial intelligence and a long-range computer...shipboard manage- ment, aircraft management, expert systems, menu selection, man- machine interface, artificial intelligence , automation; shipboard It AWM...functions, planning, evaluation, training, hierarchical data bases The objective of this project was to conduct an evaluation of ZOG, a general purpose

Operational Alignment in Predator Training Research

DTIC Science & Technology

2014-04-21

to the SO and, down the road, the Mission Intelligence Coordinator ( MIC ). 2. X-Plane 9 is COTS software and serves as the aeronautical simulation...uses to communicate with ground forces, command and control (C2) elements, and the Mission Intelligence Coordinator ( MIC ), among others. 10. LNCS...because key events can be scripted and initiated as appropriate, while distractor events like a villager walking around a market can be controlled by

Methods and means of diagnostics of oncological diseases on the basis of pattern recognition: intelligent morphological systems - problems and solutions

NASA Astrophysics Data System (ADS)

Nikitaev, V. G.

2017-01-01

The development of methods of pattern recognition in modern intelligent systems of clinical cancer diagnosis are discussed. The histological (morphological) diagnosis - primary diagnosis for medical setting with cancer are investigated. There are proposed: interactive methods of recognition and structure of intellectual morphological complexes based on expert training-diagnostic and telemedicine systems. The proposed approach successfully implemented in clinical practice.

Enlisted Personnel Allocation System

DTIC Science & Technology

1989-03-01

hierarchy is further subdivided into two characteristic groupings: intelligence qualifications and physical qualifications. 41 I I 7 -, S- ie p if- i - LL...weighted as 30% of the applicant’s Intelligence Qualifications score). As shown in Figure 6, a step function generates a score based on the...34 There is no aritificial time window imposed on any MOS. Any open training date within the full DEP horizon may be recommended by the optimization

Using Objective Structured Teaching Encounters (OSTEs) to prepare chief residents to be emotionally intelligent leaders.

PubMed

Cerrone, Sara Ann; Adelman, Patti; Akbar, Salaahuddin; Yacht, Andrew C; Fornari, Alice

2017-01-01

Chief Residents must lead, manage and mentor a diverse and often large group of residents, however there is a lack of formal leadership training throughout graduate medical education. Development of a 3-part Chief Resident (CR) Program focused on leading, managing and mentoring. Each participant completes an Emotional Intelligence (EI) Inventory prior to the day-long event. Participants receive their EI scores at the beginning of the program, which features interactive sessions on leadership, management, and feedback skills. The program then reinforces the application of their new knowledge about EI through a four station OSTE (Observed Structured Teaching Encounter). CRs practice feedback and coaching skills in a simulated environment where they need to provide the context of formative feedback to a standardized resident. The aggregated mean pre-session EI score for all participants was 76.9 (an ideal score is >85). An independent-samples t-test compared the CRs' leadership and feedback performance on their first and second OSTE performance within a single afternoon session. There was a significant difference between the first OSTE performance (M = 47.92, SD = 7.8) and the second OSTE performance (M = 51.22, SD = 6.9); t (68) = 1.99, p = 0.006. These results suggest that participating in multiple OSTEs positively reinforces the core interpersonal and communication skills discussed in the didactic and practiced in the interactive portions of the program. The low mean pre-session EI score achieved by our participants supports the idea that CRs enter their new roles with a level of EI that can be enhanced. CRs had an overall positive reaction to EI and its application to the core skills addressed in the program, highlighting the fact that similar programs could be used to train early career physicians to be more skilled and comfortable with leading, managing and mentoring. CR: Chief resident; EI: Emotional intelligence; GME: Graduate medical education; OSTE: Objective structured teaching encounter.

Sparse Forward-Backward for Fast Training of Conditional Random Fields

DTIC Science & Technology

2006-01-01

knowledge- based systems. Proceedings of the 6th Conference on Uncertainty in Artifcial Intelligence , 1990. Appears to be unavailable. [4] Michael I...response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and...task, the NetTalk text-to-speech data set [5], we can now train a conditional random field (CRF) in about 6 hours for which training previously

Emotional intelligence and criminal behavior.

PubMed

Megreya, Ahmed M

2015-01-01

A large body of research links criminality to cognitive intelligence and personality traits. This study examined the link between emotional intelligence (EI) and criminal behavior. One hundred Egyptian adult male offenders who have been sentenced for theft, drug dealing or murder and 100 nonoffenders were administered the Bar-On Emotional Quotient Inventory (EQ-i). The offenders had lower levels of EI than the nonoffenders. In addition, EI varied as a function of the types of offenses. Namely, it decreased in magnitude with crime severity (lowest for murder, higher for drug dealing, and highest for theft). These results converged with the direct/ indirect aggression theory suggesting that indirect aggression requires more social intelligence than physical aggression. Forensic intervention programs should therefore include EI training, especially when violence is involved. © 2014 American Academy of Forensic Sciences.

Artificial intelligence - New tools for aerospace project managers

NASA Technical Reports Server (NTRS)

Moja, D. C.

1985-01-01

Artificial Intelligence (AI) is currently being used for business-oriented, money-making applications, such as medical diagnosis, computer system configuration, and geological exploration. The present paper has the objective to assess new AI tools and techniques which will be available to assist aerospace managers in the accomplishment of their tasks. A study conducted by Brown and Cheeseman (1983) indicates that AI will be employed in all traditional management areas, taking into account goal setting, decision making, policy formulation, evaluation, planning, budgeting, auditing, personnel management, training, legal affairs, and procurement. Artificial intelligence/expert systems are discussed, giving attention to the three primary areas concerned with intelligent robots, natural language interfaces, and expert systems. Aspects of information retrieval are also considered along with the decision support system, and expert systems for project planning and scheduling.

[Artificial intelligence--the knowledge base applied to nephrology].

PubMed

Sancipriano, G P

2005-01-01

The idea that efficacy efficiency, and quality in medicine could not be reached without sorting the huge knowledge of medical and nursing science is very common. Engineers and computer scientists have developed medical software with great prospects for success, but currently these software applications are not so useful in clinical practice. The medical doctor and the trained nurse live the 'information age' in many daily activities, but the main benefits are not so widespread in working activities. Artificial intelligence and, particularly, export systems charm health staff because of their potential. The first part of this paper summarizes the characteristics of 'weak artificial intelligence' and of expert systems important in clinical practice. The second part discusses medical doctors' requirements and the current nephrologic knowledge bases available for artificial intelligence development.

Deep learning for media analysis in defense scenariosan evaluation of an open source framework for object detection in intelligence related image sets

DTIC Science & Technology

2017-06-01

Training time statistics from Jones’ thesis. . . . . . . . . . . . . . 15 Table 2.2 Evaluation runtime statistics from Camp’s thesis for a single image. 17...Table 2.3 Training and evaluation runtime statistics from Sharpe’s thesis. . . 19 Table 2.4 Sharpe’s screenshot detector results for combinations of...training resources available and time required for each algorithm Jones [15] tested. Table 2.1. Training time statistics from Jones’ [15] thesis. Algorithm

Factor analysis of Wechsler Adult Intelligence Scale-Revised in developmentally disabled persons.

PubMed

Di Nuovo, Santo F; Buono, Serafino

2006-12-01

The results of previous studies on the factorial structure of Wechsler Intelligence Scales are somewhat inconsistent across normal and pathological samples. To study specific clinical groups, such as developmentally disabled persons, it is useful to examine the factor structure in appropriate samples. A factor analysis was carried out using the principal component method and the Varimax orthogonal rotation on the Wechsler Adult Intelligence Scale (WAIS-R) in a sample of 203 developmentally disabled persons, with a mean age of 25 years 4 months. Developmental disability ranged from mild to moderate. Partially contrasting with previous studies on normal samples, results found a two-factor solution. Wechsler's traditional Verbal and Performance scales seems to be more appropriate for this sample than the alternative three-factor solution.

Neural Networks for the Beginner.

ERIC Educational Resources Information Center

Snyder, Robin M.

Motivated by the brain, neural networks are a right-brained approach to artificial intelligence that is used to recognize patterns based on previous training. In practice, one would not program an expert system to recognize a pattern and one would not train a neural network to make decisions from rules; but one could combine the best features of…

Training Emotional and Social Competences in Higher Education: The Seminar Methodology

ERIC Educational Resources Information Center

Oberst, Ursula; Gallifa, Josep; Farriols, Nuria; Vilaregut, Anna

2009-01-01

This article discusses the importance of emotional and social competences in higher education and presents a training model. In 1991, Ramon Llull University of Barcelona (Spain) created the Seminar methodology to tackle these challenges. A general model derived from the Emotional Intelligence concept and the general principles of this methodology…

Analysis of Security Contractors in Deployed Environments

DTIC Science & Technology

2006-12-01

35 2. Proper Training and Education .......................................................36 3. Improve Overall Contract Visibility...like to acknowledge the work of P. W. Singer , author of the book titled “Corporate Warriors,” whose dedicated research and thorough analysis on the...skills, including combat operations, strategic planning, intelligence, risk assessment, operational support, training , and technical skills.”3 CPFF

A Pan-European Survey Leading to the Development of WITS.

ERIC Educational Resources Information Center

Mullins, Roisin; Duan, Yanqing; Hamblin, David

2001-01-01

Describes a study of the training needs of small- and medium-sized enterprises in relation to the Internet, electronic commerce, and electronic data interchange in the United Kingdom, Poland, Slovak Republic, Germany, and Portugal. Discusses the development of a Web-based intelligent training system (WITS) as a result of the study. (Author/LRW)

TRAINING METHODS FOR OLDER WORKERS. EMPLOYMENT OF OLDER WORKERS, 2.

ERIC Educational Resources Information Center

BELBIN, R.M.

A SURVEY WAS PRESENTED OF SCIENTIFIC KNOWLEDGE ON AGE CHANGES IN HUMAN CAPACITIES, ESPECIALLY IN LEARNING ABILITY AND ADAPTABILITY, AND DESCRIBED VARIOUS METHODS USED TO TRAIN WORKERS OVER 40. THE ROLE OF MEMORY, MOTIVATION, RIGIDITY, AND INTELLIGENCE IN DETERMINING THE LEARNING EFFICIENCY OF MATURE ADULTS WAS ASSESSED, ALSO DIFFICULTIES CAUSED BY…

New Training Technologies. Studies on Technical and Vocational Education 2.

ERIC Educational Resources Information Center

Herremans, Albert

This book is the second in a series aiming to promote international exchange of ideas, experiences, and studies relating to technical and vocational education. Information provided is designed to help educators and trainers plan for an intelligent use of new training technologies (NTTs) to improve the access to basic and advanced lifelong learning…

Representing System Behaviors and Expert Behaviors for Intelligent Tutoring

DTIC Science & Technology

1987-02-09

Learned .................................. 44 . Future Directions ................................... 47 Sum m ary...and training environments to assist the instructor in meeting the students’ learning needs. The first application of the IMTS will be in training...identifies and resolves learning deficiencies and minimizes unproductive practice time. Another decision made early in the planning phase was to place

Using Emotional Intelligence in Training Crisis Managers: The Pandora Approach

ERIC Educational Resources Information Center

Mackinnon, Lachian; Bacon, Liz; Cortellessa, Gabriella; Cesta, Amedeo

2013-01-01

Multi-agency crisis management represents one of the most complex of real-world situations, requiring rapid negotiation and decision-making under extreme pressure. However, the training offered to strategic planners, called Gold Commanders, does not place them under any such pressure. It takes the form of paper-based, table-top exercises, or…

Government-Sponsored Research and Development Efforts in the Area of Intelligent Tutoring Systems. Summary Report.

DTIC Science & Technology

1995-02-01

modeling a personal trainer MASA training through development and .-chnology ICAT applications, VR-training applications, and technology transfer to...Scholas- tic Aptitude Tests, the average score of ITS-tutored students was 410, compared with an average of 380 for non-ITS users [Anderson et al. 1994

An Intelligent Tutoring System (ITS) for Operating Training of ROCSAT TT&C Groung Station

NASA Astrophysics Data System (ADS)

Shr, Arthur M. D.; Miau, Jiun Jih

2000-07-01

ROCS AT-1 is the first small satellite developed by the Republic of China and is a lowearth orbit experimental satellite. The goal of ROCSAT-1 is to carry out scientific research missions. To successfully accomplish ROCSAT missions, the ROCSAT Mission Operations Team (RMOT) is formed to handle the daily operation and maintenance activities. These activities are onerous and complex. Hence, RMOT is concerned with future personnel training. In this paper, we propose an Intelligent Tutoring System (ITS) which is capable of integrating the training courses into a software program. ITS uses a great amount of information to present a subject for a user to learn. In the process of teaching, an ITS is capable of presenting the course materials in a structured format to the user and to judge if the user has mastered the subject or not. ITS is the tool to integrate the RMOT training courses and to develop a multi-function computer-assisted instruction (CAI) system. It can not only provide a practical method for users recurrently, but also make self-teaching easily.

Perceptual learning for speech in noise after application of binary time-frequency masks

PubMed Central

Ahmadi, Mahnaz; Gross, Vauna L.; Sinex, Donal G.

2013-01-01

Ideal time-frequency (TF) masks can reject noise and improve the recognition of speech-noise mixtures. An ideal TF mask is constructed with prior knowledge of the target speech signal. The intelligibility of a processed speech-noise mixture depends upon the threshold criterion used to define the TF mask. The study reported here assessed the effect of training on the recognition of speech in noise after processing by ideal TF masks that did not restore perfect speech intelligibility. Two groups of listeners with normal hearing listened to speech-noise mixtures processed by TF masks calculated with different threshold criteria. For each group, a threshold criterion that initially produced word recognition scores between 0.56–0.69 was chosen for training. Listeners practiced with one set of TF-masked sentences until their word recognition performance approached asymptote. Perceptual learning was quantified by comparing word-recognition scores in the first and last training sessions. Word recognition scores improved with practice for all listeners with the greatest improvement observed for the same materials used in training. PMID:23464038

28 CFR 65.70 - Definitions.

Code of Federal Regulations, 2011 CFR

2011-07-01

... enforcement of laws associated with scheduled public events, including political convention and sports events... Act to mean funds, equipment, training, intelligence information, and personnel. (c) Federal law...

Seeing the forest for the trees: prevalence of low scores on the Wechsler Intelligence Scale for Children, fourth edition (WISC-IV).

PubMed

Brooks, Brian L

2010-09-01

Low scores across a battery of tests are common in healthy people and vary by demographic characteristics. The purpose of the present article was to present the base rates of low scores for the Wechsler Intelligence Scale for Children, fourth edition (WISC-IV; D. Wechsler, 2003). Participants included 2,200 children and adolescents between 6 and 16 years of age from the WISC-IV U.S. standardization sample. Measures considered in the base rates analyses included the 10 core subtests and the 4 index scores. Analyses were conducted for the entire standardization sample as well as stratified by different classifications of intelligence and different years of parental education. In the total sample, it is uncommon to have 6 or more subtest scores or 2 or more Index scores

World of intelligence defense object detection-machine learning (artificial intelligence)

NASA Astrophysics Data System (ADS)

Gupta, Anitya; Kumar, Akhilesh; Bhushan, Vinayak

2018-04-01

This paper proposes a Quick Locale based Convolutional System strategy (Quick R-CNN) for question recognition. Quick R-CNN expands on past work to effectively characterize ob-ject recommendations utilizing profound convolutional systems. Com-pared to past work, Quick R-CNN utilizes a few in-novations to enhance preparing and testing speed while likewise expanding identification precision. Quick R-CNN trains the profound VGG16 arrange 9 quicker than R-CNN, is 213 speedier at test-time, and accomplishes a higher Guide on PASCAL VOC 2012. Contrasted with SPPnet, Quick R-CNN trains VGG16 3 quicker, tests 10 speedier, and is more exact. Quick R-CNN is actualized in Python and C++ (utilizing Caffe) and is accessible under the open-source MIT Permit.

Intelligence Differentiation in Adult Samples.

ERIC Educational Resources Information Center

Abad, Francisco J.; Colom, Robert; Juan-Espinosa, Manuel; Garcia, Luis F.

2003-01-01

Results for 3,340 participants taking a battery of cognitive tests and an analysis of the Spanish standardization of the Wechsler Adult Intelligence Scale-III support the differentiation of intelligence across the range of ability, with WAIS-III results more supportive of the differentiation theory. (SLD)

Swarm intelligence metaheuristics for enhanced data analysis and optimization.

PubMed

Hanrahan, Grady

2011-09-21

The swarm intelligence (SI) computing paradigm has proven itself as a comprehensive means of solving complicated analytical chemistry problems by emulating biologically-inspired processes. As global optimum search metaheuristics, associated algorithms have been widely used in training neural networks, function optimization, prediction and classification, and in a variety of process-based analytical applications. The goal of this review is to provide readers with critical insight into the utility of swarm intelligence tools as methods for solving complex chemical problems. Consideration will be given to algorithm development, ease of implementation and model performance, detailing subsequent influences on a number of application areas in the analytical, bioanalytical and detection sciences.

Comparisons of IQ in Children With and Without Cochlear Implants: Longitudinal Findings and Associations With Language.

PubMed

Cejas, Ivette; Mitchell, Christine M; Hoffman, Michael; Quittner, Alexandra L

2018-04-05

To make longitudinal comparisons of intelligence quotient (IQ) in children with cochlear implants (CIs) and typical hearing peers from early in development to the school-age period. Children with additional comorbidities and CIs were also evaluated. To estimate the impact of socioeconomic status and oral language on school-age cognitive performance. This longitudinal study evaluated nonverbal IQ in a multicenter, national sample of 147 children with CIs and 75 typically hearing peers. IQ was evaluated at baseline, prior to cochlear implantation, using the Bayley Scales of Infant and Toddler Development and the Leiter International Performance Scale. School-age IQ was assessed using the Wechsler Intelligence Scales for Children. For the current study, only the Perceptual Reasoning and Processing Speed indices were administered. Oral language was evaluated using the Comprehensive Assessment of Spoken Language. Children in the CI group scored within the normal range of intelligence at both time points. However, children with additional comorbidities scored significantly worse on the Processing Speed, but not the Perceptual Reasoning Index. Maternal education and language were significantly related to school-age IQ in both groups. Importantly, language was the strongest predictor of intellectual functioning in both children with CIs and normal hearing. These results suggest that children using cochlear implants perform similarly to hearing peers on measures of intelligence, but those with severe comorbidities are at-risk for cognitive deficits. Despite the strong link between socioeconomic status and intelligence, this association was no longer significant once spoken language performance was accounted for. These results reveal the important contributions that early intervention programs, which emphasize language and parent training, contribute to cognitive functioning in school-age children with CIs. For families from economically disadvantaged backgrounds, who are at-risk for suboptimal outcomes, these early intervention programs are critical to improve overall functioning.

Criterion-related validity of the Test of Children's Speech sentence intelligibility measure for children with cerebral palsy and dysarthria.

PubMed

Hodge, Megan; Gotzke, Carrie Lynne

2014-08-01

To evaluate the criterion-related validity of the TOCS+ sentence measure (TOCS+, Hodge, Daniels & Gotzke, 2009 ) for children with dysarthria and CP by comparing intelligibility and rate scores obtained concurrently from the TOCS+ and from a conversational sample. Twenty children (3 to 10 years old) diagnosed with spastic cerebral palsy (CP) participated. Nineteen children also had a confirmed diagnosis of dysarthria. Children's intelligibility and speaking rate scores obtained from the TOCS+, which uses imitation of sets of randomly selected items ranging from 2-7 words (80 words in total) and from a contiguous 100-word conversational speech were compared. Mean intelligibility scores were 46.5% (SD = 26.4%) and 50.9% (SD = 19.1%) and mean rates in words per minute (WPM) were 90.2 (SD = 22.3) and 94.1 (SD = 25.6), respectively, for the TOCS+ and conversational samples. No significant differences were found between the two conditions for intelligibility or rate scores. Strong correlations were found between the TOCS+ and conversational samples for intelligibility (r = 0.86; p < 0.001) and WPM (r = 0.77; p < 0.001), supporting the criterion validity of the TOCS+ sentence task as a time efficient procedure for measuring intelligibility and rate in children with CP, with and without confirmed dysarthria. The results support the criterion validity of the TOCS+ sentence task as a time efficient procedure for measuring intelligibility and rate in children with CP, with and without confirmed dysarthria. Children varied in their relative performance on the two speaking tasks, reflecting the complexity of factors that influence intelligibility and rate scores.

Improved RMR Rock Mass Classification Using Artificial Intelligence Algorithms

NASA Astrophysics Data System (ADS)

Gholami, Raoof; Rasouli, Vamegh; Alimoradi, Andisheh

2013-09-01

Rock mass classification systems such as rock mass rating (RMR) are very reliable means to provide information about the quality of rocks surrounding a structure as well as to propose suitable support systems for unstable regions. Many correlations have been proposed to relate measured quantities such as wave velocity to rock mass classification systems to limit the associated time and cost of conducting the sampling and mechanical tests conventionally used to calculate RMR values. However, these empirical correlations have been found to be unreliable, as they usually overestimate or underestimate the RMR value. The aim of this paper is to compare the results of RMR classification obtained from the use of empirical correlations versus machine-learning methodologies based on artificial intelligence algorithms. The proposed methods were verified based on two case studies located in northern Iran. Relevance vector regression (RVR) and support vector regression (SVR), as two robust machine-learning methodologies, were used to predict the RMR for tunnel host rocks. RMR values already obtained by sampling and site investigation at one tunnel were taken into account as the output of the artificial networks during training and testing phases. The results reveal that use of empirical correlations overestimates the predicted RMR values. RVR and SVR, however, showed more reliable results, and are therefore suggested for use in RMR classification for design purposes of rock structures.

Emotional Intelligence Components in Alcohol Dependent and Mentally Healthy Individuals

PubMed Central

Mohagheghi, Arash; Amiri, Shahrokh; Mousavi Rizi, Seyedreza; Safikhanlou, Salman

2015-01-01

Objective. Emotional intelligence might play an important role in the onset and persistence of different psychopathologies. This study investigated the relationship between emotional intelligence and alcohol dependence. Methods. In this case-control study, participants included alcohol dependent individuals and mentally healthy inpatients. Each group consisted of 40 individuals (male/female: 1). The diagnosis was based on the criteria of the DSM-IV-TR using the Structured Clinical Interview for DSM-IV (SCID-IV). All the participants completed Bar-On emotional intelligence test. Results. 20 males and 20 females were included in each group. Mean age of alcohol dependent participants and controls was 31.28 ± 7.82 and 34.93 ± 9.83 years in that order. The analyses showed that the alcohol dependent individuals had a significant difference compared with the control group and received lower scores in empathy, responsibility, impulse control, self-esteem, optimism, emotional consciousness, stress tolerance, autonomy, problem-solving, and total score of emotional intelligence components. Conclusion. Patients with alcohol dependence have deficits in components of emotional intelligence. Identifying and targeted training of the individuals with lower scores in components of emotional intelligence may be effective in prevention of alcohol dependence. PMID:25893214

Emotional intelligence components in alcohol dependent and mentally healthy individuals.

PubMed

Mohagheghi, Arash; Amiri, Shahrokh; Mousavi Rizi, Seyedreza; Safikhanlou, Salman

2015-01-01

Emotional intelligence might play an important role in the onset and persistence of different psychopathologies. This study investigated the relationship between emotional intelligence and alcohol dependence. In this case-control study, participants included alcohol dependent individuals and mentally healthy inpatients. Each group consisted of 40 individuals (male/female: 1). The diagnosis was based on the criteria of the DSM-IV-TR using the Structured Clinical Interview for DSM-IV (SCID-IV). All the participants completed Bar-On emotional intelligence test. 20 males and 20 females were included in each group. Mean age of alcohol dependent participants and controls was 31.28±7.82 and 34.93±9.83 years in that order. The analyses showed that the alcohol dependent individuals had a significant difference compared with the control group and received lower scores in empathy, responsibility, impulse control, self-esteem, optimism, emotional consciousness, stress tolerance, autonomy, problem-solving, and total score of emotional intelligence components. Patients with alcohol dependence have deficits in components of emotional intelligence. Identifying and targeted training of the individuals with lower scores in components of emotional intelligence may be effective in prevention of alcohol dependence.

Perceived emotional intelligence in nursing: psychometric properties of the Trait Meta-Mood Scale.

PubMed

Aradilla-Herrero, Amor; Tomás-Sábado, Joaquín; Gómez-Benito, Juana

2014-04-01

To examine the psychometric properties of the Trait Meta-Mood Scale in the nursing context and to determine the relationships between emotional intelligence, self-esteem, alexithymia and death anxiety. The Trait Meta-Mood Scale is one of the most widely used self-report measures for assessing perceived emotional intelligence. However, in the nursing context, no extensive analysis has been conducted to examine its psychometric properties. Cross-sectional and observational study. A total of 1417 subjects participated in the study (1208 nursing students and 209 hospital nurses). The Trait Meta-Mood Scale, the Toronto Alexithymia Scale, the Rosenberg Self-Esteem Scale and the Death Anxiety Inventory were all applied to half of the sample (n = 707). A confirmatory factor analysis was carried out, and statistical analyses examined the internal consistency and test-retest reliability of the Trait Meta-Mood Scale, as well as its relationship with relevant variables. Confirmatory factor analysis confirmed the three dimensions of the original scale (Attention, Clarity and Repair). The instrument showed adequate internal consistency and temporal stability. Correlational results indicated that nurses with high scores on emotional Attention experience more death anxiety, report greater difficulties identifying feelings and have less self-esteem. By contrast, nurses with high levels of emotional Clarity and Repair showed less death anxiety and higher levels of self-esteem. The Trait Meta-Mood Scale is an effective, valid and reliable tool for measuring perceived emotional intelligence in the nursing context. Training programmes should seek to promote emotional abilities among nurses. Use of the Trait Meta-Mood Scale in the nursing context would provide information about nurses' perceived abilities to interpret and manage emotions when interacting with patients. © 2013 John Wiley & Sons Ltd.

Current Issues in Research on Intelligence. ERIC/AE Digest.

ERIC Educational Resources Information Center

Yekovich, Frank R.

Intelligence has been defined and studied under a number of different rubrics. Three individuals serve as a representative sample of the educational and psychological researchers associated with cognitive psychology who have made significant contributions to current understandings of intelligence. Robert Sternberg's theory contains subcategories…

Selection of Naval Academy Graduates for Nuclear Training

DTIC Science & Technology

2006-06-01

4), 1019-1027. Gottfredson , L. S. (1997). Why g Matters: The Complexity of Everyday Life. Intelligence , 24(1), 79-132. Henderson, W. D. (2004...COGNITIVE ABILITY (G) General Cognitive Ability (g) “can be said to be the most powerful single predictor of overall job performance ( Gottfredson , 1997, p...83). But what is g? Often equated with intelligence quotient (IQ), g is a construct which measures an individual’s general aptitude. Perhaps it

Rehabilitation device with variable resistance and intelligent control

PubMed Central

Dong, Shufang; Lu, Ke-Qian; Sun, J.Q.; Rudolph, Katherine

2008-01-01

Resistance exercise has been widely reported to have positive rehabilitation effects for patients with neuromuscular and orthopaedic conditions. This paper presents an optimal design of magneto-rheological fluid dampers for variable resistance exercise device in the form of a knee brace. An intelligent supervisory control for regulating the resistive force or torque of the knee brace has also been studied. The device provides both isometric and isokinetic strength training for the knee. PMID:15694609

Proceedings of the Air Force Forum for Intelligent Tutoring Systems

DTIC Science & Technology

1989-04-01

interface help the students find facts? I recently developed an expert system that is used at the JFK Airport to help workers assign incoming planes to...of their errors and to make comparisons with optimal solution paths. Chapters 2, and 5 BIP, BIP II: Basic Instructional Program BIP applied knowledge...OFFICE SYMBOL 7a NAME OF MONITORING ORGANIZATION Center for Applied Artificial (If applicable) Training Systems Division Intelligence 1 6. ADDRESS (City

An Evaluation of the Generalized Intelligent Framework for Tutoring (GIFT) from an Author’s Perspective

DTIC Science & Technology

2014-12-01

group instruction as effective as one - to- one tutoring. Educational Researcher. 1984;13(6):4–16. Carbonell. AI in CAI: an artificial intelligence...an official Department of the Army position unless so designated by other authorized documents. Citation of manufacturer’s or trade names does...public release; distribution is unlimited. 13. SUPPLEMENTARY NOTES 14. ABSTRACT Current US Army standards for training and education are group

Executive Thinking and Decision Skills: A Characterization and Implications for Training

DTIC Science & Technology

1990-10-01

operates, and to find ways to foster this development. Marvin Minsky (1986) has drawn an analogy between the mind and a bureaucratic organization...frames (cf. Anderson, 1980; Minsky , 1975). Similar to scripts, frames are expectancy-driven organizers of knowledge. Scripts focus more on goal and plan...be called intelligent. The key to intelligence, maintains Minsky , is in how these interactions are organized. One of Minsky’s key theoretical tenets

Simulation-Based Learning: Workshops for Researchers and Educators in the Western United States, and the Pacific Rim

DTIC Science & Technology

2007-03-01

Artificial Intelligence Walter Greenleaf, Greenleaf Medical Applications in Rehabilitation Medicine Workshop 4: 12/14-5/07 SUMMIT/TATRC...Applications in Medicine; 1-day Long Beach, CA – MMVR 118 people 1/25/05 2 MEDICAL-SURGICAL TRAINING WITH VIDEOGAMES ; ½-day Portland, OR...for Modeling Virtual Patients Parvati Dev " Intelligent " characters in Virtual World Lou Halamek, Stanford Debriefing- After Action Review

The Importance of Artificial Intelligence for Naval Intelligence Training Simulations

DTIC Science & Technology

2006-09-01

experimental investigation described later. B. SYSTEM ARCHITECTURE The game-based simulator was created using NetBeans , which is an open source integrated...development environment (IDE) written entirely in Java using the NetBeans Platform. NetBeans is based upon the Java language which contains the...involved within the simulation are conducted in a GUI built within the NetBeans IDE. The opening display allows the user to setup the simulation

The relationship between spiritual intelligence and personality traits among Jordanian university students

PubMed Central

Mahasneh, Ahmad M; Shammout, Nizar A; Alkhazaleh, Ziad M; Al-Alwan, Ahmed F; Abu-Eita, Jawhara D

2015-01-01

This study was aimed at identifying the level of spiritual intelligence and its correlation with personality traits among a group of Jordanian undergraduate students. A purposive sample of 716 male and female students was chosen from different faculties at the Hashemite University. Two questionnaires on spiritual intelligence and personality traits were distributed to members of the sample during the academic year 2013–2014. Results illustrated a medium level of spiritual intelligence in students, and indicated a positive and statistically significant relationship between spiritual intelligence dimensions (critical existential thinking, personal meaning production, transcendental awareness, and conscious state expansion) and personality traits (neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness), but no significant correlation between personal meaning production and transcendental awareness dimensions and neuroticism personality traits. Finally, regression analysis results indicate that critical existential thinking is the first predictor dimension of spiritual intelligence in terms of neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness. In the light of the results of this study, many recommendations were written by the researchers. PMID:25834470

Predicting athletic success motivation using mental skin and emotional intelligence and its components in male athletes.

PubMed

Kajbafnezhad, H; Ahadi, H; Heidarie, A; Askari, P; Enayati, M

2012-10-01

The aim of this study was to predict athletic success motivation by mental skills, emotional intelligence and its components. The research sample consisted of 153 male athletes who were selected through random multistage sampling. The subjects completed the Mental Skills Questionnaire, Bar-On Emotional Intelligence questionnaire and the perception of sport success questionnaire. Data were analyzed using Pearson correlation coefficient and multiple regressions. Regression analysis shows that between the two variables of mental skill and emotional intelligence, mental skill is the best predictor for athletic success motivation and has a better ability to predict the success rate of the participants. Regression analysis results showed that among all the components of emotional intelligence, self-respect had a significantly higher ability to predict athletic success motivation. The use of psychological skills and emotional intelligence as an mediating and regulating factor and organizer cause leads to improved performance and can not only can to help athletes in making suitable and effective decisions for reaching a desired goal.

The influence of sprint interval training on body composition, physical and metabolic fitness in adolescents and young adults with intellectual disability: a randomized controlled trial.

PubMed

Boer, Pieter-Henk; Meeus, Mira; Terblanche, Elmarie; Rombaut, Lies; Wandele, Inge De; Hermans, Linda; Gysel, Tineke; Ruige, Johannes; Calders, Patrick

2014-03-01

In this study we evaluated the effect of sprint interval training on metabolic and physical fitness in adolescents and young adults with intellectual disabilities when compared with continuous aerobic training and no training (control). Fifty-four persons with intellectual disabilities (age: 17 (3.0), body mass index: 27.7 (3.7), intelligence quotient: 59 (8.6)) were matched based on age, gender and intelligence quotient between sprint interval training (n = 17), continuous aerobic training (n = 15) and control (n = 14). Sprint interval training was composed of three blocks of 10 minutes at ventilatory threshold (blocks 1 and 3: 10 sprint bouts of 15 seconds, followed by 45 seconds relative rest; block 2: continuous training) twice a week for 15 weeks. Continuous aerobic training was composed of three blocks of 10 minutes continuous training. After eight weeks, intensity was increased to 110% of ventilatory threshold. The control group did not participate in supervised exercise training. Before and after the training period, body composition, physical and metabolic fitness were evaluated. Sprint interval training showed a significant positive evolution for waist circumference, fat%, systolic blood pressure, lipid profile, fasting insulin, homeostasis model assessment of insulin resistance, peak VO2, peak Watt, ventilatory threshold, 6-minute walk distance and muscle fatigue resistance when compared with no training (P < 0.01). The sprint interval training group demonstrated significant improvements for fat%, systolic blood pressure, low-density lipoprotein, fasting insulin, peak VO2 and peak power and ventilatory threshold (P < 0.01) when compared with continuous aerobic training. In this study we could observe that sprint interval training has stronger beneficial effects on body composition, physical fitness and metabolic fitness compared with control. Compared with continuous aerobic training, sprint interval training seems to result in better outcome.

Investigating the effect of emotional intelligence education on baccalaureate nursing students' emotional intelligence scores.

PubMed

Orak, Roohangiz Jamshidi; Farahani, Mansoureh Ashghali; Kelishami, Fatemeh Ghofrani; Seyedfatemi, Naima; Banihashemi, Sara; Havaei, Farinaz

2016-09-01

Nursing students, particularly at the time of entering clinical education, experience a great deal of stress and emotion typically related to their educational and clinical competence. Emotional intelligence is known to be one of the required skills to effectively cope with such feelings. The aim of this study was to investigate the effect of training on first-year nursing students' levels of emotional intelligence. This was a quasi-experiment study in which 69 first-year nursing students affiliated with Tehran University of Medical Sciences were assigned to either the control or the experimental groups. The study intervention included of an emotional intelligence educational program offered in eight two-hour sessions for eight subsequent weeks. In total, 66 students completed the study. The study groups did not differ significantly in terms of emotional intelligence scores before and after educational program. Although the educational program did not have an effect on students' emotional intelligence scores, this study finding can be explained. Limited time for exercising the acquired knowledge and skills may explain the non-significant findings. Moreover, our participants were exclusively first-year students who had no clinical experience and hence, might have felt no real need to learn emotional intelligence skills. Copyright © 2016 Elsevier Ltd. All rights reserved.

Working Memory, Reasoning, and Task Switching Training: Transfer Effects, Limitations, and Great Expectations?

PubMed Central

Baniqued, Pauline L.; Ward, Nathan; Geyer, Alexandra; Kramer, Arthur F.

2015-01-01

Although some studies have shown that cognitive training can produce improvements to untrained cognitive domains (far transfer), many others fail to show these effects, especially when it comes to improving fluid intelligence. The current study was designed to overcome several limitations of previous training studies by incorporating training expectancy assessments, an active control group, and “Mind Frontiers,” a video game-based mobile program comprised of six adaptive, cognitively demanding training tasks that have been found to lead to increased scores in fluid intelligence (Gf) tests. We hypothesize that such integrated training may lead to broad improvements in cognitive abilities by targeting aspects of working memory, executive function, reasoning, and problem solving. Ninety participants completed 20 hour-and-a-half long training sessions over four to five weeks, 45 of whom played Mind Frontiers and 45 of whom completed visual search and change detection tasks (active control). After training, the Mind Frontiers group improved in working memory n-back tests, a composite measure of perceptual speed, and a composite measure of reaction time in reasoning tests. No training-related improvements were found in reasoning accuracy or other working memory tests, nor in composite measures of episodic memory, selective attention, divided attention, and multi-tasking. Perceived self-improvement in the tested abilities did not differ between groups. A general expectancy difference in problem-solving was observed between groups, but this perceived benefit did not correlate with training-related improvement. In summary, although these findings provide modest evidence regarding the efficacy of an integrated cognitive training program, more research is needed to determine the utility of Mind Frontiers as a cognitive training tool. PMID:26555341

Teaching Emotional Intelligence: A Control Group Study of a Brief Educational Intervention for Emergency Medicine Residents

PubMed Central

Gorgas, Diane L.; Greenberger, Sarah; Bahner, David P.; Way, David P.

2015-01-01

Introduction Emotional Intelligence (EI) is defined as an ability to perceive another’s emotional state combined with an ability to modify one’s own. Physicians with this ability are at a distinct advantage, both in fostering teams and in making sound decisions. Studies have shown that higher physician EI’s are associated with lower incidence of burn-out, longer careers, more positive patient-physician interactions, increased empathy, and improved communication skills. We explored the potential for EI to be learned as a skill (as opposed to being an innate ability) through a brief educational intervention with emergency medicine (EM) residents. Methods This study was conducted at a large urban EM residency program. Residents were randomized to either EI intervention or control groups. The intervention was a two-hour session focused on improving the skill of social perspective taking (SPT), a skill related to social awareness. Due to time limitations, we used a 10-item sample of the Hay 360 Emotional Competence Inventory to measure EI at three time points for the training group: before (pre) and after (post) training, and at six-months post training (follow up); and at two time points for the control group: pre- and follow up. The preliminary analysis was a four-way analysis of variance with one repeated measure: Group x Gender x Program Year over Time. We also completed post-hoc tests. Results Thirty-three EM residents participated in the study (33 of 36, 92%), 19 in the EI intervention group and 14 in the control group. We found a significant interaction effect between Group and Time (p≤0.05). Post-hoc tests revealed a significant increase in EI scores from Time 1 to 3 for the EI intervention group (62.6% to 74.2%), but no statistical change was observed for the controls (66.8% to 66.1%, p=0.77). We observed no main effects involving gender or level of training. Conclusion Our brief EI training showed a delayed but statistically significant positive impact on EM residents six months after the intervention involving SPT. One possible explanation for this finding is that residents required time to process and apply the EI skills training in order for us to detect measurable change. More rigorous measurement will be needed in future studies to aid in the interpretation of our findings. PMID:26594287

Variety Wins: Soccer-Playing Robots and Infant Walking.

PubMed

Ossmy, Ori; Hoch, Justine E; MacAlpine, Patrick; Hasan, Shohan; Stone, Peter; Adolph, Karen E

2018-01-01

Although both infancy and artificial intelligence (AI) researchers are interested in developing systems that produce adaptive, functional behavior, the two disciplines rarely capitalize on their complementary expertise. Here, we used soccer-playing robots to test a central question about the development of infant walking. During natural activity, infants' locomotor paths are immensely varied. They walk along curved, multi-directional paths with frequent starts and stops. Is the variability observed in spontaneous infant walking a "feature" or a "bug?" In other words, is variability beneficial for functional walking performance? To address this question, we trained soccer-playing robots on walking paths generated by infants during free play and tested them in simulated games of "RoboCup." In Tournament 1, we compared the functional performance of a simulated robot soccer team trained on infants' natural paths with teams trained on less varied, geometric paths-straight lines, circles, and squares. Across 1,000 head-to-head simulated soccer matches, the infant-trained team consistently beat all teams trained with less varied walking paths. In Tournament 2, we compared teams trained on different clusters of infant walking paths. The team trained with the most varied combination of path shape, step direction, number of steps, and number of starts and stops outperformed teams trained with less varied paths. This evidence indicates that variety is a crucial feature supporting functional walking performance. More generally, we propose that robotics provides a fruitful avenue for testing hypotheses about infant development; reciprocally, observations of infant behavior may inform research on artificial intelligence.

The expert surgical assistant. An intelligent virtual environment with multimodal input.

PubMed

Billinghurst, M; Savage, J; Oppenheimer, P; Edmond, C

1996-01-01

Virtual Reality has made computer interfaces more intuitive but not more intelligent. This paper shows how an expert system can be coupled with multimodal input in a virtual environment to provide an intelligent simulation tool or surgical assistant. This is accomplished in three steps. First, voice and gestural input is interpreted and represented in a common semantic form. Second, a rule-based expert system is used to infer context and user actions from this semantic representation. Finally, the inferred user actions are matched against steps in a surgical procedure to monitor the user's progress and provide automatic feedback. In addition, the system can respond immediately to multimodal commands for navigational assistance and/or identification of critical anatomical structures. To show how these methods are used we present a prototype sinus surgery interface. The approach described here may easily be extended to a wide variety of medical and non-medical training applications by making simple changes to the expert system database and virtual environment models. Successful implementation of an expert system in both simulated and real surgery has enormous potential for the surgeon both in training and clinical practice.

Software for Training in Pre-College Mathematics

NASA Technical Reports Server (NTRS)

Shelton, Robert O.; Moebes, Travis A.; VanAlstine, Scot

2003-01-01

The Intelligent Math Tutor (IMT) is a computer program for training students in pre-college and college-level mathematics courses, including fundamentals, intermediate algebra, college algebra, and trigonometry. The IMT can be executed on a server computer for access by students via the Internet; alternatively, it can be executed on students computers equipped with compact- disk/read-only-memory (CD-ROM) drives. The IMT provides interactive exercises, assessment, tracking, and an on-line graphing calculator with algebraic-manipulation capabilities. The IMT provides an innovative combination of content, delivery mechanism, and artificial intelligence. Careful organization and presentation of the content make it possible to provide intelligent feedback to the student based on performance on exercises and tests. The tracking and feedback mechanisms are implemented within the capabilities of a commercial off-the-shelf development software tool and are written in the Unified Modeling Language to maximize reuse and minimize development cost. The graphical calculator is a standard feature of most college and pre-college algebra and trigonometry courses. Placing this functionality in a Java applet decreases the cost, provides greater capabilities, and provides an opportunity to integrate the calculator with the lessons.

Antecedents of Emotional Intelligence: An Empirical Study

ERIC Educational Resources Information Center

Barbuto, John E., Jr.; Story, Joana S.

2010-01-01

This study examined the relationships between emotional intelligence, locus of control, and mental boundaries. Three hundred and eighty-two county employees were sampled using a cross-sectional survey design. The results indicated internal locus of control and thin mental boundaries are positively related to emotional intelligence. A hierarchical…

Intelligence and Physical Attractiveness

ERIC Educational Resources Information Center

Kanazawa, Satoshi

2011-01-01

This brief research note aims to estimate the magnitude of the association between general intelligence and physical attractiveness with large nationally representative samples from two nations. In the United Kingdom, attractive children are more intelligent by 12.4 IQ points (r=0.381), whereas in the United States, the correlation between…

Quality of Life and Emotional Intelligence in a Sample of Kuwait University Students

ERIC Educational Resources Information Center

Al-Huwailah, Amthal

2017-01-01

The purpose of the study is to describe of the nature of the relationship between quality of Life and Emotional Intelligence in a sample of Kuwait University students, as well as to identify the differences between males and females in the variables of the study, The study sample consists of 400 students from the University of Kuwait, (200) males…

Nursing students' post-traumatic growth, emotional intelligence and psychological resilience.

PubMed

Li, Y; Cao, F; Cao, D; Liu, J

2015-06-01

Nursing students in the present sample who have experienced childhood adversity have a certain level of post-traumatic growth. If introduced into nursing curricula, emotional intelligence interventions may increase emotional coping resources and enhance social skills for nurses, which may benefit their long-term occupational health. As researchers consider personal resilience a strategy for responding to workplace adversity in nurses, resilience building should be incorporated into nursing education. This is a preliminary study that may guide future investigations of the curvilinear relationship rather than linear relationship between post-traumatic growth and positive factors in the special sample of nursing students. Resilience, emotional intelligence and post-traumatic growth may benefit nursing students' careers and personal well-being in clinical work. Developing both their emotional intelligence and resilience may assist their individual post-traumatic growth and enhance their ability to cope with clinical stress. To investigate the relationships among post-traumatic growth, emotional intelligence and psychological resilience in vocational school nursing students who have experienced childhood adversities, a cross-sectional research design with anonymous questionnaires was conducted and self-report data were analysed. The Childhood Adversities Checklist (Chinese version), Posttraumatic Growth Inventory, Emotional Intelligence Scale and the 10-item Connor-Davidson Resilience Scale were used. Survey data were collected from 202 Chinese vocational school nursing students during 2011. Post-traumatic growth was associated with emotional intelligence and psychological resilience. Results indicated a curvilinear relationship between emotional intelligence and post-traumatic growth, and between psychological resilience and post-traumatic growth. Moderate-level emotional intelligence and psychological resilience were most associated with the greatest levels of growth. The results imply that moderate resilience and emotional intelligence can help nursing students cope with adversity in their future clinical work. This study first provided preliminary data suggesting the curvilinear relationship rather than linear relationship between post-traumatic growth and positive factors in the sample of nursing students. © 2014 John Wiley & Sons Ltd.

Structural plasticity of the social brain: Differential change after socio-affective and cognitive mental training.

PubMed

Valk, Sofie L; Bernhardt, Boris C; Trautwein, Fynn-Mathis; Böckler, Anne; Kanske, Philipp; Guizard, Nicolas; Collins, D Louis; Singer, Tania

2017-10-01

Although neuroscientific research has revealed experience-dependent brain changes across the life span in sensory, motor, and cognitive domains, plasticity relating to social capacities remains largely unknown. To investigate whether the targeted mental training of different cognitive and social skills can induce specific changes in brain morphology, we collected longitudinal magnetic resonance imaging (MRI) data throughout a 9-month mental training intervention from a large sample of adults between 20 and 55 years of age. By means of various daily mental exercises and weekly instructed group sessions, training protocols specifically addressed three functional domains: (i) mindfulness-based attention and interoception, (ii) socio-affective skills (compassion, dealing with difficult emotions, and prosocial motivation), and (iii) socio-cognitive skills (cognitive perspective-taking on self and others and metacognition). MRI-based cortical thickness analyses, contrasting the different training modules against each other, indicated spatially diverging changes in cortical morphology. Training of present-moment focused attention mostly led to increases in cortical thickness in prefrontal regions, socio-affective training induced plasticity in frontoinsular regions, and socio-cognitive training included change in inferior frontal and lateral temporal cortices. Module-specific structural brain changes correlated with training-induced behavioral improvements in the same individuals in domain-specific measures of attention, compassion, and cognitive perspective-taking, respectively, and overlapped with task-relevant functional networks. Our longitudinal findings indicate structural plasticity in well-known socio-affective and socio-cognitive brain networks in healthy adults based on targeted short daily mental practices. These findings could promote the development of evidence-based mental training interventions in clinical, educational, and corporate settings aimed at cultivating social intelligence, prosocial motivation, and cooperation.

Structural plasticity of the social brain: Differential change after socio-affective and cognitive mental training

PubMed Central

Valk, Sofie L.; Bernhardt, Boris C.; Trautwein, Fynn-Mathis; Böckler, Anne; Kanske, Philipp; Guizard, Nicolas; Collins, D. Louis; Singer, Tania

2017-01-01

Although neuroscientific research has revealed experience-dependent brain changes across the life span in sensory, motor, and cognitive domains, plasticity relating to social capacities remains largely unknown. To investigate whether the targeted mental training of different cognitive and social skills can induce specific changes in brain morphology, we collected longitudinal magnetic resonance imaging (MRI) data throughout a 9-month mental training intervention from a large sample of adults between 20 and 55 years of age. By means of various daily mental exercises and weekly instructed group sessions, training protocols specifically addressed three functional domains: (i) mindfulness-based attention and interoception, (ii) socio-affective skills (compassion, dealing with difficult emotions, and prosocial motivation), and (iii) socio-cognitive skills (cognitive perspective-taking on self and others and metacognition). MRI-based cortical thickness analyses, contrasting the different training modules against each other, indicated spatially diverging changes in cortical morphology. Training of present-moment focused attention mostly led to increases in cortical thickness in prefrontal regions, socio-affective training induced plasticity in frontoinsular regions, and socio-cognitive training included change in inferior frontal and lateral temporal cortices. Module-specific structural brain changes correlated with training-induced behavioral improvements in the same individuals in domain-specific measures of attention, compassion, and cognitive perspective-taking, respectively, and overlapped with task-relevant functional networks. Our longitudinal findings indicate structural plasticity in well-known socio-affective and socio-cognitive brain networks in healthy adults based on targeted short daily mental practices. These findings could promote the development of evidence-based mental training interventions in clinical, educational, and corporate settings aimed at cultivating social intelligence, prosocial motivation, and cooperation. PMID:28983507

Age-related changes to spectral voice characteristics affect judgments of prosodic, segmental, and talker attributes for child and adult speech

PubMed Central

Dilley, Laura C.; Wieland, Elizabeth A.; Gamache, Jessica L.; McAuley, J. Devin; Redford, Melissa A.

2013-01-01

Purpose As children mature, changes in voice spectral characteristics covary with changes in speech, language, and behavior. Spectral characteristics were manipulated to alter the perceived ages of talkers’ voices while leaving critical acoustic-prosodic correlates intact, to determine whether perceived age differences were associated with differences in judgments of prosodic, segmental, and talker attributes. Method Speech was modified by lowering formants and fundamental frequency, for 5-year-old children’s utterances, or raising them, for adult caregivers’ utterances. Next, participants differing in awareness of the manipulation (Exp. 1a) or amount of speech-language training (Exp. 1b) made judgments of prosodic, segmental, and talker attributes. Exp. 2 investigated the effects of spectral modification on intelligibility. Finally, in Exp. 3 trained analysts used formal prosody coding to assess prosodic characteristics of spectrally-modified and unmodified speech. Results Differences in perceived age were associated with differences in ratings of speech rate, fluency, intelligibility, likeability, anxiety, cognitive impairment, and speech-language disorder/delay; effects of training and awareness of the manipulation on ratings were limited. There were no significant effects of the manipulation on intelligibility or formally coded prosody judgments. Conclusions Age-related voice characteristics can greatly affect judgments of speech and talker characteristics, raising cautionary notes for developmental research and clinical work. PMID:23275414

An integrated knowledge system for wind tunnel testing - Project Engineers' Intelligent Assistant

NASA Technical Reports Server (NTRS)

Lo, Ching F.; Shi, George Z.; Hoyt, W. A.; Steinle, Frank W., Jr.

1993-01-01

The Project Engineers' Intelligent Assistant (PEIA) is an integrated knowledge system developed using artificial intelligence technology, including hypertext, expert systems, and dynamic user interfaces. This system integrates documents, engineering codes, databases, and knowledge from domain experts into an enriched hypermedia environment and was designed to assist project engineers in planning and conducting wind tunnel tests. PEIA is a modular system which consists of an intelligent user-interface, seven modules and an integrated tool facility. Hypermedia technology is discussed and the seven PEIA modules are described. System maintenance and updating is very easy due to the modular structure and the integrated tool facility provides user access to commercial software shells for documentation, reporting, or database updating. PEIA is expected to provide project engineers with technical information, increase efficiency and productivity, and provide a realistic tool for personnel training.

Effectiveness of a Computerised Working Memory Training in Adolescents with Mild to Borderline Intellectual Disabilities

ERIC Educational Resources Information Center

Van der Molen, M. J.; Van Luit, J. E. H.; Van der Molen, M. W.; Klugkist, I.; Jongmans, M. J.

2010-01-01

Background: The goal of this study is to evaluate the effectiveness of a computerised working memory (WM) training on memory, response inhibition, fluid intelligence, scholastic abilities and the recall of stories in adolescents with mild to borderline intellectual disabilities attending special education. Method: A total of 95 adolescents with…

MACBETH: Development of a Training Game for the Mitigation of Cognitive Bias

ERIC Educational Resources Information Center

Dunbar, Norah E.; Wilson, Scott N.; Adame, Bradley J.; Elizondo, Javier; Jensen, Matthew L.; Miller, Claude H.; Kauffman, Abigail Allums; Seltsam, Toby; Bessarabova, Elena; Vincent, Cindy; Straub, Sara K.; Ralston, Ryan; Dulawan, Christopher L.; Ramirez, Dennis; Squire, Kurt; Valacich, Joseph S.; Burgoon, Judee K.

2013-01-01

This paper describes the process of rapid iterative prototyping used by a research team developing a training video game for the Sirius program funded by the Intelligence Advanced Research Projects Activity (IARPA). Described are three stages of development, including a paper prototype, and builds for alpha and beta testing. Game development is…

Labor Training in Today's Schools: Realities and Needs

ERIC Educational Resources Information Center

Vasil'ev, I. A.

2015-01-01

These days labor training of the rising generation has been made more difficult by the fact that a certain contingent of that generation lack a solid motivation to work. There is a shortage of systematic and intelligent promotion of skilled blue-collar professions. On the basis of an analysis of a sociological field survey the author looks at the…

Cognitive Training for Children: Effects on Inductive Reasoning, Deductive Reasoning, and Mathematics Achievement in an Australian School Setting

ERIC Educational Resources Information Center

Barkl, Sophie; Porter, Amy; Ginns, Paul

2012-01-01

Inductive reasoning is a core cognitive process of fluid intelligence, predicting a variety of educational outcomes. The Cognitive Training for Children (CTC) program is an educational intervention designed to develop children's inductive reasoning skills, with previous investigations finding substantial effects of the program on both inductive…

Development and Evaluation of an Adaptive Computerized Training System (ACTS). R&D Report 78-1.

ERIC Educational Resources Information Center

Knerr, Bruce W.; Nawrocki, Leon H.

This report describes the development of a computer based system designed to train electronic troubleshooting procedures. The ACTS uses artificial intelligence techniques to develop models of student and expert troubleshooting behavior as they solve a series of troubleshooting problems on the system. Comparisons of the student and expert models…

Emotional Education: A Case on the Perceptions of Secondary School Teachers' Emotional Intelligence Leadership Training

ERIC Educational Resources Information Center

Onipede, Vanessa Yvonne Stuart

2013-01-01

In the last ten years, education reform in this country has led to keen emphasis on student achievement at every level. Since then, many research studies have been dedicated to closing the student achievement gap through the examination of teacher training & development. Research has also incited awareness in the value of "emotional…

Flexible Learning for the Information Economy: A Framework for National Collaboration in Vocational Education and Training, 2000-2004.

ERIC Educational Resources Information Center

2000

Vocational education and training (VET) has a fundamental role to play in enabling Australia's successful transition to the information economy. Competitive advantage can be supported by intelligent competition and creative collaboration. Governments have played the fundamental role in building a coordinated VET system in Australia and in helping…

MOVING LEFT OF BOOM: LEVERAGING TITLE 32 NATIONAL GUARDSMEN TO SHARE CYBER THREAT INTELLIGENCE WITH STATE AUTHORITIES

DTIC Science & Technology

2016-06-01

mission, one weekend per month in training periods called Regularly Scheduled Drills ( RSD ) and 15 days per year, called Annual Training (AT).16 There...however during RSDs or AT military technicians convert to military members the same as drill status guardsmen. Similar to an AGR, the role of a

Leonardo da Vinci, One Year on...a Different Look at Vocational Training in Europe.

ERIC Educational Resources Information Center

Le Magazine, 1996

1996-01-01

Discusses the success of the Leonardo da Vinci program, a European laboratory of innovation in vocational training, a priority focus of investment in human resources and intelligence, and a way to mobilize innovative forces beyond national boundaries. Trends identified by the program focus on new information and communication technologies. (JOW)

That's Using Your Brain!

ERIC Educational Resources Information Center

Visser, Dana R.

1996-01-01

Discusses new adult learning theories, including those of Roger Sperry (left brain/right brain), Paul McLean (triune brain), and Howard Gardner (multiple intelligences). Relates adult learning theory to training. (JOW)

The Effect of Intelligent Physical Exercise Training on Sickness Presenteeism and Absenteeism Among Office Workers.

PubMed

Justesen, Just Bendix; Søgaard, Karen; Dalager, Tina; Christensen, Jeanette Reffstrup; Sjøgaard, Gisela

2017-10-01

The aim of this study was to investigate the effect of individually tailored intelligent physical exercise training (IPET) on presenteeism and absenteeism among office workers. In a 1-year randomized controlled trial (RCT), employees were allocated to a training group TG (N = 193) or control group CG (N = 194). TG received 1-hour high-intensity IPET once a week within working hours, and was recommended to perform 30 minutes of moderate-intensity physical activity (PA) 6 days a week during leisure-time. An intention-to-treat analysis showed no effect on absenteeism, but a significant 4% increase in workability and 9% increase in general health in TG compared with CG. A per-protocol analysis [adherence of ≥70% (N = 89)] in addition showed a significant 6% increase in productivity and a 29% reduction in absenteeism compared with CG. IPET combined with recommendations of leisure-time PA significantly improved presenteeism and decreased absenteeism if following the protocol.

Multilayer Perceptron for Robust Nonlinear Interval Regression Analysis Using Genetic Algorithms

PubMed Central

2014-01-01

On the basis of fuzzy regression, computational models in intelligence such as neural networks have the capability to be applied to nonlinear interval regression analysis for dealing with uncertain and imprecise data. When training data are not contaminated by outliers, computational models perform well by including almost all given training data in the data interval. Nevertheless, since training data are often corrupted by outliers, robust learning algorithms employed to resist outliers for interval regression analysis have been an interesting area of research. Several approaches involving computational intelligence are effective for resisting outliers, but the required parameters for these approaches are related to whether the collected data contain outliers or not. Since it seems difficult to prespecify the degree of contamination beforehand, this paper uses multilayer perceptron to construct the robust nonlinear interval regression model using the genetic algorithm. Outliers beyond or beneath the data interval will impose slight effect on the determination of data interval. Simulation results demonstrate that the proposed method performs well for contaminated datasets. PMID:25110755

Multilayer perceptron for robust nonlinear interval regression analysis using genetic algorithms.

PubMed

Hu, Yi-Chung

2014-01-01

On the basis of fuzzy regression, computational models in intelligence such as neural networks have the capability to be applied to nonlinear interval regression analysis for dealing with uncertain and imprecise data. When training data are not contaminated by outliers, computational models perform well by including almost all given training data in the data interval. Nevertheless, since training data are often corrupted by outliers, robust learning algorithms employed to resist outliers for interval regression analysis have been an interesting area of research. Several approaches involving computational intelligence are effective for resisting outliers, but the required parameters for these approaches are related to whether the collected data contain outliers or not. Since it seems difficult to prespecify the degree of contamination beforehand, this paper uses multilayer perceptron to construct the robust nonlinear interval regression model using the genetic algorithm. Outliers beyond or beneath the data interval will impose slight effect on the determination of data interval. Simulation results demonstrate that the proposed method performs well for contaminated datasets.

Rapid and accurate intraoperative pathological diagnosis by artificial intelligence with deep learning technology.

PubMed

Zhang, Jing; Song, Yanlin; Xia, Fan; Zhu, Chenjing; Zhang, Yingying; Song, Wenpeng; Xu, Jianguo; Ma, Xuelei

2017-09-01

Frozen section is widely used for intraoperative pathological diagnosis (IOPD), which is essential for intraoperative decision making. However, frozen section suffers from some drawbacks, such as time consuming and high misdiagnosis rate. Recently, artificial intelligence (AI) with deep learning technology has shown bright future in medicine. We hypothesize that AI with deep learning technology could help IOPD, with a computer trained by a dataset of intraoperative lesion images. Evidences supporting our hypothesis included the successful use of AI with deep learning technology in diagnosing skin cancer, and the developed method of deep-learning algorithm. Large size of the training dataset is critical to increase the diagnostic accuracy. The performance of the trained machine could be tested by new images before clinical use. Real-time diagnosis, easy to use and potential high accuracy were the advantages of AI for IOPD. In sum, AI with deep learning technology is a promising method to help rapid and accurate IOPD. Copyright © 2017 Elsevier Ltd. All rights reserved.

Effect of promoting self-esteem by participatory learning process on emotional intelligence among early adolescents.

PubMed

Munsawaengsub, Chokchai; Yimklib, Somkid; Nanthamongkolchai, Sutham; Apinanthavech, Suporn

2009-12-01

To study the effect of promoting self-esteem by participatory learning program on emotional intelligence among early adolescents. The quasi-experimental study was conducted in grade 9 students from two schools in Bangbuathong district, Nonthaburi province. Each experimental and comparative group consisted of 34 students with the lowest score of emotional intelligence. The instruments were questionnaires, Program to Develop Emotional Intelligence and Handbook of Emotional Intelligence Development. The experimental group attended 8 participatory learning activities in 4 weeks to Develop Emotional Intelligence while the comparative group received the handbook for self study. Assessment the effectiveness of program was done by pre-test and post-test immediately and 4 weeks apart concerning the emotional intelligence. Implementation and evaluation was done during May 24-August 12, 2005. Data were analyzed by frequency, percentage, mean, standard deviation, Chi-square, independent sample t-test and paired sample t-test. Before program implementation, both groups had no statistical difference in mean score of emotional intelligence. After intervention, the experimental group had higher mean score of emotional intelligence both immediately and 4 weeks later with statistical significant (p = 0.001 and < 0.001). At 4 weeks after experiment, the mean score in experimental group was higher than the mean score at immediate after experiment with statistical significance (p < 0.001). The program to promote self-esteem by participatory learning process could enhance the emotional intelligence in early-adolescent. This program could be modified and implemented for early adolescent in the community.

On the nature and nurture of intelligence and specific cognitive abilities: the more heritable, the more culture dependent.

PubMed

Kan, Kees-Jan; Wicherts, Jelte M; Dolan, Conor V; van der Maas, Han L J

2013-12-01

To further knowledge concerning the nature and nurture of intelligence, we scrutinized how heritability coefficients vary across specific cognitive abilities both theoretically and empirically. Data from 23 twin studies (combined N = 7,852) showed that (a) in adult samples, culture-loaded subtests tend to demonstrate greater heritability coefficients than do culture-reduced subtests; and (b) in samples of both adults and children, a subtest's proportion of variance shared with general intelligence is a function of its cultural load. These findings require an explanation because they do not follow from mainstream theories of intelligence. The findings are consistent with our hypothesis that heritability coefficients differ across cognitive abilities as a result of differences in the contribution of genotype-environment covariance. The counterintuitive finding that the most heritable abilities are the most culture-dependent abilities sheds a new light on the long-standing nature-nurture debate of intelligence.

Mathematical Intelligence and Mathematical Creativity: A Causal Relationship

ERIC Educational Resources Information Center

Tyagi, Tarun Kumar

2017-01-01

This study investigated the causal relationship between mathematical creativity and mathematical intelligence. Four hundred thirty-nine 8th-grade students, age ranged from 11 to 14 years, were included in the sample of this study by random cluster technique on which mathematical creativity and Hindi adaptation of mathematical intelligence test…

Intelligence and Interpersonal Sensitivity: A Meta-Analysis

ERIC Educational Resources Information Center

Murphy, Nora A.; Hall, Judith A.

2011-01-01

A meta-analytic review investigated the association between general intelligence and interpersonal sensitivity. The review involved 38 independent samples with 2988 total participants. There was a highly significant small-to-medium effect for intelligence measures to be correlated with decoding accuracy (r=0.19, p less than 0.001). Significant…

The Relationship between the Emotional Intelligence of Secondary Public School Principals and School Performance

ERIC Educational Resources Information Center

Ashworth, Stephanie R.

2013-01-01

The study examined the relationship between secondary public school principals' emotional intelligence and school performance. The correlational study employed an explanatory sequential mixed methods model. The non-probability sample consisted of 105 secondary public school principals in Texas. The emotional intelligence characteristics of the…

Time is on my side: time, general mental ability, human capital, and extrinsic career success.

PubMed

Judge, Timothy A; Klinger, Ryan L; Simon, Lauren S

2010-01-01

The present study linked general mental ability (GMA) to extrinsic career success using a multilevel framework that included time and 3 possible time-based mediators of the GMA-career success relationship. Results, based on a large national sample, revealed that over a 28-year period, GMA affected growth in 2 indicators of extrinsic career success (income and occupational prestige), such that the careers of high-GMA individuals ascended more steeply over time than those of low-GMA individuals. Part of the reason high-GMA individuals had steeper growth in extrinsic success over time was because they attained more education, completed more job training, and gravitated toward more complex jobs. GMA also moderated the degree to which within-individual variation in the mediating variables affected within-individual variation in extrinsic career success over time: Education, training, and job complexity were much more likely to translate into career success for more intelligent individuals. Copyright 2009 APA, all rights reserved.

The Predictive Validity of Four Intelligence Tests for School Grades: A Small Sample Longitudinal Study

PubMed Central

Gygi, Jasmin T.; Hagmann-von Arx, Priska; Schweizer, Florine; Grob, Alexander

2017-01-01

Intelligence is considered the strongest single predictor of scholastic achievement. However, little is known regarding the predictive validity of well-established intelligence tests for school grades. We analyzed the predictive validity of four widely used intelligence tests in German-speaking countries: The Intelligence and Development Scales (IDS), the Reynolds Intellectual Assessment Scales (RIAS), the Snijders-Oomen Nonverbal Intelligence Test (SON-R 6-40), and the Wechsler Intelligence Scale for Children (WISC-IV), which were individually administered to 103 children (Mage = 9.17 years) enrolled in regular school. School grades were collected longitudinally after 3 years (averaged school grades, mathematics, and language) and were available for 54 children (Mage = 11.77 years). All four tests significantly predicted averaged school grades. Furthermore, the IDS and the RIAS predicted both mathematics and language, while the SON-R 6-40 predicted mathematics. The WISC-IV showed no significant association with longitudinal scholastic achievement when mathematics and language were analyzed separately. The results revealed the predictive validity of currently used intelligence tests for longitudinal scholastic achievement in German-speaking countries and support their use in psychological practice, in particular for predicting averaged school grades. However, this conclusion has to be considered as preliminary due to the small sample of children observed. PMID:28348543

Development and Assessment of a Novel Training Package for Basic Maneuvering Tasks on a Flight Simulator Using Self Instruction Methods and Above Real Time Training (ARTT)

NASA Technical Reports Server (NTRS)

Ali, Syed Firasat; Khan, M. Javed; Rossi, Marcia J.; Heath, Bruce e.; Crane, Peter; Ward, Marcus; Crier, Tomyka; Knighten, Tremaine; Culpepper, Christi

2007-01-01

One result of the relatively recent advances in computing technology has been the decreasing cost of computers and increasing computational power. This has allowed high fidelity airplane simulations to be run on personal computers (PC). Thus, simulators are now used routinely by pilots to substitute real flight hours for simulated flight hours for training for an aircraft type rating thereby reducing the cost of flight training. However, FAA regulations require that such substitution training must be supervised by Certified Flight Instructors (CFI). If the CFI presence could be reduced or eliminated for certain tasks this would mean a further cost savings to the pilot. This would require that the flight simulator have a certain level of 'intelligence' in order to provide feedback on pilot performance similar to that of a CFI. The 'intelligent' flight simulator would have at least the capability to use data gathered from the flight to create a measure for the performance of the student pilot. Also, to fully utilize the advances in computational power, the simulator would be capable of interacting with the student pilot using the best possible training interventions. This thesis reports on the two studies conducted at Tuskegee University investigating the effects of interventions on the learning of two flight maneuvers on a flight simulator and the robustness and accuracy of calculated performance indices as compared to CFI evaluations of performance. The intent of these studies is to take a step in the direction of creating an 'intelligent' flight simulator. The first study deals with the comparisons of novice pilot performance trained at different levels of above real-time to execute a level S-turn. The second study examined the effect of out-of-the-window (OTW) visual cues in the form of hoops on the performance of novice pilots learning to fly a landing approach on the flight simulator. The reliability/robustness of the computed performance metrics was assessed by comparing them with the evaluations of the landing approach maneuver by a number of CFIs.

Generalization of Figure-Ground Segmentation from Binocular to Monocular Vision in an Embodied Biological Brain Model

DTIC Science & Technology

2011-08-01

Intelligence (AGI). For example, it promises to unlock vast sets of training data , such as Google Images, which have previously been inaccessible to...development of this skill holds great promise for e orts, like Emer, that aim to create an Artifcial General Intelligence (AGI). For example, it promises to...instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send

Empirical Demonstration of Isoperformance Methodology Preparatory of an Interactive Expert Computerized Decision Aid

DTIC Science & Technology

1988-11-01

after modest amounts of 7 practi.ce. Moreover, the advant.ages of display aiding (e.g., Smith & Kennedy, 1976) or artificial intelligence may be largely...team performance in tanks is largely a function of the intelligence of the tank commmander (Wallace, 1932). In summary, individual differences such as...versus small CRT screen), and training on a videogame task which simulated a remotely piloted vehicle. This study was successful as an isoperformance

Shake, Rattle and Roles: Lessons from Experimental Earthquake Engineering for Incorporating Remote Users in Large-Scale E-Science Experiments

DTIC Science & Technology

2007-01-01

Mechanical Turk: Artificial Artificial Intelligence . Retrieved May 15, 2006 from http://www.mturk.com/ mturk/welcome Atkins, D. E., Droegemeier, K. K...Turk (Amazon, 2006) site goes beyond volunteers and pays people to do Human Intelligence Tasks, those that are difficult for computers but relatively...geographically distributed scientific collaboration, and the use of videogame technology for training. Address: U.S. Army Research Institute, 2511 Jefferson

The Quest for Contact: NASA's Search for Extraterrestrial Intelligence

NASA Technical Reports Server (NTRS)

1992-01-01

This video details the history and current efforts of NASA's Search for Extraterrestrial Intelligence program. The video explains the use of radiotelescopes to monitor electromagnetic frequencies reaching the Earth, and the analysis of this data for patterns or signals that have no natural origin. The video presents an overview of Frank Drake's 1960 'Ozma' experiment, the current META experiment, and planned efforts incorporating an international Deep Space Network of radiotelescopes that will be trained on over 800 stars.

Emotional intelligence in orthopedic surgery residents.

PubMed

Chan, Kevin; Petrisor, Brad; Bhandari, Mohit

2014-04-01

Emotional intelligence (EI) is the ability to understand and manage emotions in oneself and others. It was originally popularized in the business literature as a key attribute for success that was distinct from cognitive intelligence. Increasing focus is being placed on EI in medicine to improve clinical and academic performance. Despite the proposed benefits, to our knowledge, there have been no previous studies on the role of EI in orthopedic surgery. We evaluated baseline data on EI in a cohort of orthopedic surgery residents. We asked all orthopedic surgery residents at a single institution to complete an electronic version of the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). We used completed questionnaires to calculate total EI scores and 4 branch scores. Data were analyzed according to a priori cutoff values to determine the proportion of residents who were considered competent on the test. Data were also analyzed for possible associations with age, sex, race and level of training. Thirty-nine residents (100%) completed the MSCEIT. The mean total EI score was 86 (maximum score 145). Only 4 (10%) respondents demonstrated competence in EI. Junior residents (p = 0.026), Caucasian residents (p = 0.009) and those younger than 30 years (p = 0.008) had significantly higher EI scores. Our findings suggest that orthopedic residents score low on EI based on the MSCEIT. Optimizing resident competency in noncognitive skills may be enhanced by dedicated EI education, training and testing.

Aspects of intelligent electronic device based switchgear control training model application

NASA Astrophysics Data System (ADS)

Bogdanov, Dimitar; Popov, Ivaylo

2018-02-01

The design of the protection and control equipment for electrical power sector application was object of extensive advance in the last several decades. The modern technologies offer a wide range of multifunctional flexible applications, making the protection and control of facilities more sophisticated. In the same time, the advance of technology imposes the necessity of simulators, training models and tutorial laboratory equipment to be used for adequate training of students and field specialists

Adding an Intelligent Tutoring System to an Existing Training Simulation

DTIC Science & Technology

2006-01-01

to apply information in a job should be the goal of training. Also, conventional IMI is not able to meaningfully incorporate use of free - play simulators...incorporating desktop free - play simulators into computer-based training since the software can stand in for a human tutor in all the roles. Existing IMI...2. ITS can integrate free - play simulators and IMI BC2010 ITS DESCRIPTION Overview Figure 3 illustrates the interaction between BC2010, ITS

Identifying emotional intelligence skills of Turkish clinical nurses according to sociodemographic and professional variables.

PubMed

Kahraman, Nilgün; Hiçdurmaz, Duygu

2016-04-01

This study aimed to identify the emotional intelligence skills of Turkish clinical nurses according to sociodemographic and professional variables. Emotional intelligence is "the ability of a person to comprehend self-emotions, to show empathy towards the feelings of others, and to control self-emotions in a way that enriches life." Nurses with a higher emotional intelligence level offer more efficient and professional care, and they accomplish more in their social and professional lives. We designed a descriptive cross-sectional study. The Introductory Information Form and the Bar-On emotional intelligence Inventory were used to collect data between 20th June and 20th August 2012. The study was conducted with 312 nurses from 37 hospitals located within the borders of the metropolitan municipality in Ankara. There were no significant differences between emotional intelligence scores of the nurses according to demographic variables such as age, gender, marital status, having children. Thus, sociodemographic factors did not appear to be key factors, but some professional variables did. Higher total emotional intelligence scores were observed in those who had 10 years or longer experience, who found oneself successful in professional life, who stated that emotional intelligence is an improvable skill and who previously received self-improvement training. Interpersonal skills were higher in those with a graduate degree and in nurses working in polyclinics and paediatric units. These findings indicate which groups require improvement in emotional intelligence skills and which skills need improvement. Additionally, these results provide knowledge and create awareness about emotional intelligence skills of nurses and the distribution of these skills according to sociodemographic and professional variables. Implementation of emotional intelligence improvement programmes targeting the determined clinical nursing groups by nursing administrations can help the increase in emotional intelligence. © 2016 John Wiley & Sons Ltd.

Developing leadership competencies among medical trainees: five-year experience at the Cleveland Clinic with a chief residents' training course.

PubMed

Farver, Carol F; Smalling, Susan; Stoller, James K

2016-10-01

Challenges in healthcare demand great leadership. In response, leadership training programs have been developed within academic medical centers, business schools, and healthcare organizations; however, we are unaware of any well-developed programs for physicians-in-training. To address this gap, we developed a two-day leadership development course for chief residents (CRs) at the Cleveland Clinic, framed around the concept of emotional intelligence. This paper describes our five-year experience with the CRs leadership program. Since inception, 105 CRs took the course; 81 (77%) completed before-and-after evaluations. Participants indicated that they had relatively little prior knowledge of the concepts that were presented and that the workshop greatly enhanced their familiarity with leadership competencies. Qualitative analysis of open-ended responses indicated that attendees valued the training, especially in conflict resolution and teamwork, and indicated specific action plans for applying these skills. Furthermore, the workshop spurred some participants to express plans to learn more about leadership competencies. This study extends prior experience in offering an emotional intelligence-based leadership workshop for CRs. Though the program is novel, further research is needed to more fully understand the impact of leadership training for CRs and for the institutions and patients they serve. © The Royal Australian and New Zealand College of Psychiatrists 2016.

Effects of the Spock Videogame on Improving Emotional Intelligence in Adolescents

ERIC Educational Resources Information Center

Cejudo, Javier; Latorre, Sebastián

2015-01-01

Introduction: The aim of the present research is to experimentally assess the effects of a videogame program ("Spock") for improving emotional intelligence (EI) as an ability among a sample of adolescents. Method: The sample was made up of 92 adolescents, aged 17 to 19, who were currently studying the second year of…

An "intelligent" approach based on side-by-side cascade-correlation neural networks for estimating thermophysical properties from photothermal responses

NASA Astrophysics Data System (ADS)

Grieu, Stéphane; Faugeroux, Olivier; Traoré, Adama; Claudet, Bernard; Bodnar, Jean-Luc

2015-01-01

In the present paper, an artificial-intelligence-based approach dealing with the estimation of thermophysical properties is designed and evaluated. This new and "intelligent" approach makes use of photothermal responses obtained when subjecting materials to a light flux. So, the main objective of the present work was to estimate simultaneously both the thermal diffusivity and conductivity of materials, from front-face or rear-face photothermal responses to pseudo random binary signals. To this end, we used side-by-side feedforward neural networks trained with the cascade-correlation algorithm. In addition, computation time was a key point to consider. That is why the developed algorithms are computationally tractable.

Self- and other-estimates of multiple abilities in Britain and Turkey: a cross-cultural comparison of subjective ratings of intelligence.

PubMed

Furnham, Adrian; Arteche, Adriane; Chamorro-Premuzic, Tomas; Keser, Askin; Swami, Viren

2009-12-01

This study is part of a programmatic research effort into the determinants of self-assessed abilities. It examined cross-cultural differences in beliefs about intelligence and self- and other-estimated intelligence in two countries at extreme ends of the European continent. In all, 172 British and 272 Turkish students completed a three-part questionnaire where they estimated their parents', partners' and own multiple intelligences (Gardner (10) and Sternberg (3)). They also completed a measure of the 'big five' personality scales and rated six questions about intelligence. The British sample had more experience with IQ tests than the Turks. The majority of participants in both groups did not believe in sex differences in intelligence but did think there were race differences. They also believed that intelligence was primarily inherited. Participants rated their social and emotional intelligence highly (around one standard deviation above the norm). Results suggested that there were more cultural than sex differences in all the ratings, with various interactions mainly due to the British sample differentiating more between the sexes than the Turks. Males rated their overall, verbal, logical, spatial, creative and practical intelligence higher than females. Turks rated their musical, body-kinesthetic, interpersonal and intrapersonal intelligence as well as existential, naturalistic, emotional, creative, and practical intelligence higher than the British. There was evidence of participants rating their fathers' intelligence on most factors higher than their mothers'. Factor analysis of the ten Gardner intelligences yield two clear factors: cognitive and social intelligence. The first factor was impacted by sex but not culture; it was the other way round for the second factor. Regressions showed that five factors predicted overall estimates: sex (male), age (older), test experience (has done tests), extraversion (strong) and openness (strong). Results are discussed in terms of the growing literature in the field.

Emotional intelligence among nursing students: Findings from a cross-sectional study.

PubMed

Štiglic, Gregor; Cilar, Leona; Novak, Žiga; Vrbnjak, Dominika; Stenhouse, Rosie; Snowden, Austyn; Pajnkihar, Majda

2018-07-01

Emotional intelligence in nursing is of global interest. International studies identify that emotional intelligence influences nurses' work and relationships with patients. It is associated with compassion and care. Nursing students scored higher on measures of emotional intelligence compared to students of other study programmes. The level of emotional intelligence increases with age and tends to be higher in women. This study aims to measure the differences in emotional intelligence between nursing students with previous caring experience and those without; to examine the effects of gender on emotional intelligence scores; and to test whether nursing students score higher than engineering colleagues on emotional intelligence measures. A cross-sectional descriptive study design was used. The study included 113 nursing and 104 engineering students at the beginning of their first year of study at a university in Slovenia. Emotional intelligence was measured using the Trait Emotional Intelligence Questionnaire (TEIQue) and Schutte Self Report Emotional Intelligence Test (SSEIT). Shapiro-Wilk's test of normality was used to test the sample distribution, while the differences in mean values were tested using Student t-test of independent samples. Emotional intelligence was higher in nursing students (n = 113) than engineering students (n = 104) in both measures [TEIQue t = 3.972; p < 0.001; SSEIT t = 8.288; p < 0.001]. Although nursing female students achieved higher emotional intelligence scores than male students on both measures, the difference was not statistically significant [TEIQue t = -0.839; p = 0.403; SSEIT t = -1.159; p = 0.249]. EI scores in nursing students with previous caring experience were not higher compared to students without such experience for any measure [TEIQue t = -1.633; p = 0.105; SSEIT t = -0.595; p = 0.553]. Emotional intelligence was higher in nursing than engineering students, and slightly higher in women than men. It was not associated with previous caring experience. Copyright © 2018 Elsevier Ltd. All rights reserved.

Human-simulated intelligent control of train braking response of bridge with MRB

NASA Astrophysics Data System (ADS)

Li, Rui; Zhou, Hongli; Wu, Yueyuan; Wang, Xiaojie

2016-04-01

The urgent train braking could bring structural response menace to the bridge under passive control. Based on the analysis of breaking dynamics of a train-bridge vibration system, a magnetorheological elastomeric bearing (MRB) whose mechanical parameters are adjustable is designed, tested and modeled. A finite element method (FEM) is carried out to model and optimize a full scale vibration isolation system for railway bridge based on MRB. According to the model above, we also consider the effect of different braking stop positions on the vibration isolation system and classify the bridge longitudinal vibration characteristics into several cases. Because the train-bridge vibration isolation system has multiple vibration states and strongly coupling with nonlinear characteristics, a human-simulated intelligent control (HSIC) algorithm for isolating the bridge vibration under the impact of train braking is proposed, in which the peak shear force of pier top, the displacement of beam and the acceleration of beam are chosen as control goals. The simulation of longitudinal vibration control system under the condition of train braking is achieved by MATLAB. The results indicate that different braking stop positions significantly affect the vibration isolation system and the structural response is the most drastic when the train stops at the third cross-span. With the proposed HSIC smart isolation system, the displacement of bridge beam and peak shear force of pier top is reduced by 53.8% and 34.4%, respectively. Moreover, the acceleration of bridge beam is effectively controlled within limited range.

Gratitude mediates the effect of emotional intelligence on subjective well-being: A structural equation modeling analysis.

PubMed

Geng, Yuan

2016-11-01

This study investigated the relationship among emotional intelligence, gratitude, and subjective well-being in a sample of university students. A total of 365 undergraduates completed the emotional intelligence scale, the gratitude questionnaire, and the subjective well-being measures. The results of the structural equation model showed that emotional intelligence is positively associated with gratitude and subjective well-being, that gratitude is positively associated with subjective well-being, and that gratitude partially mediates the positive relationship between emotional intelligence and subjective well-being. Bootstrap test results also revealed that emotional intelligence has a significant indirect effect on subjective well-being through gratitude.

Efficacy of Individual Computer-Based Auditory Training for People with Hearing Loss: A Systematic Review of the Evidence

PubMed Central

Henshaw, Helen; Ferguson, Melanie A.

2013-01-01

Background Auditory training involves active listening to auditory stimuli and aims to improve performance in auditory tasks. As such, auditory training is a potential intervention for the management of people with hearing loss. Objective This systematic review (PROSPERO 2011: CRD42011001406) evaluated the published evidence-base for the efficacy of individual computer-based auditory training to improve speech intelligibility, cognition and communication abilities in adults with hearing loss, with or without hearing aids or cochlear implants. Methods A systematic search of eight databases and key journals identified 229 articles published since 1996, 13 of which met the inclusion criteria. Data were independently extracted and reviewed by the two authors. Study quality was assessed using ten pre-defined scientific and intervention-specific measures. Results Auditory training resulted in improved performance for trained tasks in 9/10 articles that reported on-task outcomes. Although significant generalisation of learning was shown to untrained measures of speech intelligibility (11/13 articles), cognition (1/1 articles) and self-reported hearing abilities (1/2 articles), improvements were small and not robust. Where reported, compliance with computer-based auditory training was high, and retention of learning was shown at post-training follow-ups. Published evidence was of very-low to moderate study quality. Conclusions Our findings demonstrate that published evidence for the efficacy of individual computer-based auditory training for adults with hearing loss is not robust and therefore cannot be reliably used to guide intervention at this time. We identify a need for high-quality evidence to further examine the efficacy of computer-based auditory training for people with hearing loss. PMID:23675431

The link between callosal thickness and intelligence in healthy children and adolescents.

PubMed

Luders, Eileen; Thompson, Paul M; Narr, Katherine L; Zamanyan, Alen; Chou, Yi-Yu; Gutman, Boris; Dinov, Ivo D; Toga, Arthur W

2011-02-01

The link between brain structure and intelligence is a well-investigated topic, but existing analyses have mainly focused on adult samples. Studies in healthy children and adolescents are rare, and normative data specifically addressing the association between corpus callosum morphology and intellectual abilities are quite limited. To advance this field of research, we mapped the correlations between standardized intelligence measures and callosal thickness based on high-resolution magnetic resonance imaging (MRI) data. Our large and well-matched sample included 200 normally developing subjects (100 males, 100 females) ranging from 6 to 17 years of age. Although the strongest correlations were negative and confined to the splenium, the strength and the direction of intelligence-callosal thickness associations varied considerably. While significant correlations in females were mainly positive, significant correlations in males were exclusively negative. However, only the negative correlations in the overall sample (i.e., males and females combined) remained significant when controlling for multiple comparisons. The observed negative correlations between callosal thickness and intelligence in children and adolescents contrast with the positive correlations typically reported in adult samples. However, negative correlations are in line with reports from other pediatric studies relating cognitive measures to other brain attributes such as cortical thickness, gray matter volume, and gray matter density. Altogether, these findings suggest that relationships between callosal morphology and cognition are highly dynamic during brain maturation. Sex effects on links between callosal thickness and intelligence during childhood and adolescence are present but appear rather weak in general. Copyright © 2010 Elsevier Inc. All rights reserved.

The link between callosal thickness and intelligence in healthy children and adolescents

PubMed Central

Luders, Eileen; Thompson, Paul M.; Narr, Katherine L.; Zamanyan, Alen; Chou, Yi-Yu; Gutman, Boris; Dinov, Ivo D.; Toga, Arthur W.

2010-01-01

The link between brain structure and intelligence is a well-investigated topic, but existing analyses have mainly focused on adult samples. Studies in healthy children and adolescents are rare, and normative data specifically addressing the association between corpus callosum morphology and intellectual abilities is quite limited. To advance this field of research, we mapped the correlations between standardized intelligence measures and callosal thickness based on high-resolution magnetic resonance imaging (MRI) data. Our large and well-matched sample included 200 normally developing subjects (100 males, 100 females) ranging from 6 to 17 years of age. Although the strongest correlations were negative and confined to the splenium, the strength and the direction of intelligence-callosal thickness associations varied considerably with respect to age and sex. While significant correlations in females were mainly positive, significant correlations in males were exclusively negative. However, only the negative correlations in the overall sample (i.e., males and females combined) remained significant when controlling for multiple comparisons. The observed negative correlations between callosal thickness and intelligence in children and adolescents contrast with the positive correlations typically reported in adult samples. However, negative correlations are in line with reports from other pediatric studies relating cognitive measures to other brain attributes such as cortical thickness, gray matter volume, and gray matter density. Altogether, these findings suggest that relationships between callosal morphology and cognition are highly dynamic during brain maturation. Sex effects on links between callosal thickness and intelligence during childhood and adolescence are present but appear rather weak in general. PMID:20932920

Working Memory and Fluid Intelligence in Young Children

ERIC Educational Resources Information Center

Engel de Abreu, Pascale M. J.; Conway, Andrew R. A.; Gathercole, Susan E.

2010-01-01

The present study investigates how working memory and fluid intelligence are related in young children and how these links develop over time. The major aim is to determine which aspect of the working memory system--short-term storage or cognitive control--drives the relationship with fluid intelligence. A sample of 119 children was followed from…

Self-Assessed Intelligence: Inter-Ethnic, Rural-Urban, and Sex Differences in Malaysia

ERIC Educational Resources Information Center

Swami, Viren; Furnham, Adrian

2010-01-01

The present study examined inter-ethnic, rural-urban, and sex differences in self-assessed intelligence (SAI) in a Malaysian general population sample. In total, 633 individuals varying in rural or urban location, ethnicity (Malay, Kadazan, and Bajau), and sex (women versus men) provided their self-assessed overall intelligence and ten multiple…

Teachers' Implicit Theories of Intelligence: Influences from Different Disciplines and Scientific Theories

ERIC Educational Resources Information Center

Jonsson, Anna-Carin; Beach, Dennis; Korp, Helena; Erlandson, Peter

2012-01-01

A sample of 226 Swedish high school teachers from various knowledge domains completed self-report measures of intelligence regarding implicit theories and scientific theories of intelligence. A mixed ANOVA showed that teachers from language, social science and practical disciplines had a significant preference for an incremental theory of…

Intelligence and Metacognition as Predictors of Foreign Language Achievement: A Structural Equation Modeling Approach

ERIC Educational Resources Information Center

Pishghadam, Reza; Khajavy, Gholam Hassan

2013-01-01

This study examined the role of metacognition and intelligence in foreign language achievement on a sample of 143 Iranian English as a Foreign Language (EFL) learners. Participants completed Raven's Advanced Progressive Matrices as a measure of intelligence, and Metacognitive Awareness Inventory as a measure of metacognition. Learners' scores at…

The Emotional Intelligence of Leaders as Antecedent to Leader-Member Exchanges: A Field Study

ERIC Educational Resources Information Center

Barbuto, John E., Jr.; Bugenhagen, Marilyn J.

2009-01-01

Eighty elected leaders and 388 followers were sampled to test the relationships between leaders' emotional intelligence and the quality of leader-member exchange. Results of the field study found a significant relationship between leaders' emotional intelligence (total) and leader-member exchange quality. Specific subscales of emotional…

Variability and Diagnostic Accuracy of Speech Intelligibility Scores in Children

ERIC Educational Resources Information Center

Hustad, Katherine C.; Oakes, Ashley; Allison, Kristen

2015-01-01

Purpose: We examined variability of speech intelligibility scores and how well intelligibility scores predicted group membership among 5-year-old children with speech motor impairment (SMI) secondary to cerebral palsy and an age-matched group of typically developing (TD) children. Method: Speech samples varying in length from 1-4 words were…

Utility of the Stanford-Binet Intelligence Scales, Fifth Edition, with Ethnically Diverse Preschoolers

ERIC Educational Resources Information Center

Dale, Brittany A.; Finch, Maria HernÁndez; Mcintosh, David E.; Rothlisberg, Barbara A.; Finch, W. Holmes

2014-01-01

Current research on the use of revisions of intelligence measures with ethnically diverse populations and younger children is limited. The present study investigated the utility of the Stanford-Binet Intelligence Scales, Fifth Edition (SB5), with an ethnically diverse preschool sample. African American and Caucasian preschoolers, matched on age,…

Cross-Cultural Bias Analysis of Cattell Culture-Fair Intelligence Test.

ERIC Educational Resources Information Center

Nenty, H. Johnson

The Cattell Culture Fair Intelligence Test (CCFIT) was administered to a large sample of American, Nigerian, and Indian adolescents, and item data were examined for cultural bias. The CCFIT was designed to measure fluid intelligence, which is not influenced by cultural differences. Four different item analysis techniques were used to determine…

Gender Differences in the Relationship between Emotional Intelligence and Right Hemisphere Lateralization for Facial Processing

ERIC Educational Resources Information Center

Castro-Schilo, Laura; Kee, Daniel W.

2010-01-01

The present study examined relationships between emotional intelligence, measured by the Mayer-Salovey-Caruso Emotional Intelligence Test, and right hemisphere dominance for a free vision chimeric face test. A sample of 122 ethnically diverse college students participated and completed online versions of the forenamed tests. A hierarchical…

Domain-specific knowledge as the "dark matter" of adult intelligence: Gf/Gc, personality and interest correlates.

PubMed

Ackerman, P L

2000-03-01

An enduring controversy in intelligence theory and assessment, the argument that middle-aged adults are, on average, less intelligent than young adults, is addressed in this study. A sample of 228 educated adults between ages 21 and 62 years was given an array of tests that focused on a broad assessment of intelligence-as-knowledge, traditional estimates of fluid intelligence (Gf) and crystallized intelligence (Gc), personality, and interests. The results indicate that middle-aged adults are more knowledgeable in many domains, compared with younger adults. A coherent pattern of ability, personality, and interest relations is found. The results are consistent with a developmental perspective of intelligence that includes both traditional ability and non-ability determinants of intelligence during adulthood. A reassessment of the nature of intelligence in adulthood is provided, in the context of a lifelong learning and investment model, called PPIK, for intelligence-as-Process, Personality, Interests, and intelligence-as-Knowledge (Ackerman, 1996).

An Empirical Evaluation of Sonar Courseware Developed with Intelligent Tutoring Software (InTrain[TM]) at Naval Submarine School.

ERIC Educational Resources Information Center

Birchard, Marcy; Dye, Charles; Gordon, John

With limits on both personnel and time available to conduct effective instruction, the decision is being made increasingly to enhance instructor-led courses with Computer-Based Training (CBT). The effectiveness of this conversion is often unknown and in many cases empirical evaluations are never conducted. This paper describes and discusses the…

The Relationship between N-Back Performance and Matrix Reasoning--Implications for Training and Transfer

ERIC Educational Resources Information Center

Jaeggi, Susanne M.; Studer-Luethi, Barbara; Buschkuehl, Martin; Su, Yi-Fen; Jonides, John; Perrig, Walter J.

2010-01-01

We have previously demonstrated that training on a dual n-back task results in improvements in fluid intelligence ("Gf") as measured by matrix reasoning tasks. Here, we explored the underlying mechanisms of this transfer effect in two studies, and we evaluated the transfer potential of a single n-back task. In the first study, we demonstrated that…

Structure, Content, and Process in Teacher Training: The Relevance of Copernicus, Gardner, and Dewey.

ERIC Educational Resources Information Center

Soares, Louise M.

1998-01-01

Argues that a unique combination of (1) the Copernican Plan for block scheduling; (2) the application of Howard Gardner's theory of multiple intelligences; and (3) John Dewey's basic ideas about process create a teacher training program in which mastery is an achievable goal. Describes each component and illustrates how each has worked in one…

Motivation to Participate in Workplace Training within the Intelligence Community and Beyond: A Study of Contributing Factors

ERIC Educational Resources Information Center

Stanard, Stephanie Vernice Overton

2013-01-01

Organizations can incur extensive costs to fund training typically available to employees free of charge. However, some employees do not participate. The body of research reviewed in adult education focused on relevant studies and models of contributing factors for participation in academia, the workplace, and the community. No studies were found…

Coping with Logical Fallacies: A Developmental Training Program for Learning to Reason

ERIC Educational Resources Information Center

Christoforides, Michael; Spanoudis, George; Demetriou, Andreas

2016-01-01

This study trained children to master logical fallacies and examined how learning is related to processing efficiency and fluid intelligence (gf). A total of one hundred and eighty 8- and 11-year-old children living in Cyprus were allocated to a control, a limited (LI), and a full instruction (FI) group. The LI group learned the notion of logical…