Divulging Personal Information within Learning Analytics Systems

ERIC Educational Resources Information Center

Ifenthaler, Dirk; Schumacher, Clara

2015-01-01

The purpose of this study was to investigate if students are prepared to release any personal data in order to inform learning analytics systems. Besides the well-documented benefits of learning analytics, serious concerns and challenges are associated with the application of these data driven systems. Most notably, empirical evidence regarding…

Discontinuous categories affect information-integration but not rule-based category learning.

PubMed

Maddox, W Todd; Filoteo, J Vincent; Lauritzen, J Scott; Connally, Emily; Hejl, Kelli D

2005-07-01

Three experiments were conducted that provide a direct examination of within-category discontinuity manipulations on the implicit, procedural-based learning and the explicit, hypothesis-testing systems proposed in F. G. Ashby, L. A. Alfonso-Reese, A. U. Turken, and E. M. Waldron's (1998) competition between verbal and implicit systems model. Discontinuous categories adversely affected information-integration but not rule-based category learning. Increasing the magnitude of the discontinuity did not lead to a significant decline in performance. The distance to the bound provides a reasonable description of the generalization profile associated with the hypothesis-testing system, whereas the distance to the bound plus the distance to the trained response region provides a reasonable description of the generalization profile associated with the procedural-based learning system. These results suggest that within-category discontinuity differentially impacts information-integration but not rule-based category learning and provides information regarding the detailed processing characteristics of each category learning system. ((c) 2005 APA, all rights reserved).

Using Games-Based eLearning Technologies in Overcoming Difficulties in Teaching Information Systems

ERIC Educational Resources Information Center

Connolly, Thomas; Stanfield, Mark

2006-01-01

The contributions of this research center on two major areas: delineation of a new model of distance education in which the authors identify three generations of eLearning; and examination of how eLearning and games-based eLearning technologies can be used to enrich the Information Systems (IS) learning experiences of students with different…

Implementing Service-Learning to the Information Systems and Technology Management Program: A Study of an Undergraduate Capstone Course

ERIC Educational Resources Information Center

Wei, Kangning; Siow, Jane; Burley, Diana L.

2007-01-01

Service-learning has been identified as an extremely valuable educational tool and applied to different disciplines and areas, but literature review on service learning has indicated that service-learning is little used in Information Systems education. This paper presents our design and development of a service-learning capstone course for…

Utilizing Learners' Negative Ratings in Semantic Content-Based Recommender System for e-Learning Forum

ERIC Educational Resources Information Center

Albatayneh, Naji Ahmad; Ghauth, Khairil Imran; Chua, Fang-Fang

2018-01-01

Nowadays, most of e-learning systems embody online discussion forums as a medium for collaborative learning that supports knowledge sharing and information exchanging between learners. The exponential growth of the available shared information in e-learning online discussion forums has caused a difficulty for learners in discovering interesting…

Prototyping with Application Generators: Lessons Learned from the Naval Aviation Logistics Command Management Information System Case

DTIC Science & Technology

1992-10-01

Prototyping with Application Generators: Lessons Learned from the Naval Aviation Logistics Command Management Information System Case. This study... management information system to automate manual Naval aviation maintenance tasks-NALCOMIS. With the use of a fourth-generation programming language

A Comparison of the neural correlates that underlie rule-based and information-integration category learning.

PubMed

Carpenter, Kathryn L; Wills, Andy J; Benattayallah, Abdelmalek; Milton, Fraser

2016-10-01

The influential competition between verbal and implicit systems (COVIS) model proposes that category learning is driven by two competing neural systems-an explicit, verbal, system, and a procedural-based, implicit, system. In the current fMRI study, participants learned either a conjunctive, rule-based (RB), category structure that is believed to engage the explicit system, or an information-integration category structure that is thought to preferentially recruit the implicit system. The RB and information-integration category structures were matched for participant error rate, the number of relevant stimulus dimensions, and category separation. Under these conditions, considerable overlap in brain activation, including the prefrontal cortex, basal ganglia, and the hippocampus, was found between the RB and information-integration category structures. Contrary to the predictions of COVIS, the medial temporal lobes and in particular the hippocampus, key regions for explicit memory, were found to be more active in the information-integration condition than in the RB condition. No regions were more activated in RB than information-integration category learning. The implications of these results for theories of category learning are discussed. Hum Brain Mapp 37:3557-3574, 2016. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Designing Connected Learning: Emerging Learning Systems in a Craft Teacher Education Course

ERIC Educational Resources Information Center

Vartiaien, Henrikka; Pöllänen, Sinikka; Liljeström, Anu; Vanninen, Petteri; Enkenberg, Jorma

2016-01-01

This socioculturally informed study aims to apply learning by collaborative designing (LCD) as an instructional model for the creation and studying of new kinds of connected learning systems in teacher education. A case study was organized at the University of Eastern Finland in the context of an information and communication technology (ICT)…

A Critical Analysis of Active Learning and an Alternative Pedagogical Framework for Introductory Information Systems Courses

ERIC Educational Resources Information Center

Drake, John R.

2012-01-01

Active learning has been championed in academic circles as the pedagogical fix to boring lectures typically found in introduction to information systems courses. However, the literature on active learning is mixed. In this paper, we critically examine active learning research and discover a misplaced emphasis leading to paradoxical findings in…

Learning by Doing: Twenty Successful Active Learning Exercises for Information Systems Courses

ERIC Educational Resources Information Center

Mitchell, Alanah; Petter, Stacie; Harris, Albert L.

2017-01-01

Aim/Purpose: This paper provides a review of previously published work related to active learning in information systems (IS) courses. Background: There are a rising number of strategies in higher education that offer promise in regards to getting students' attention and helping them learn, such as flipped classrooms and offering courses online.…

Multi-Modal Traveler Information System - Lessons Learned

DOT National Transportation Integrated Search

1997-05-19

The purpose of this working paper is to provide an information base of lessons learned from activities similar to the design of the Gary Chicago Milwaukee (GCM) Corridor Architecture and the Gateway Traveler Information System (TIS). Many similar act...

Experiential effects on mirror systems and social learning: implications for social intelligence.

PubMed

Reader, Simon M

2014-04-01

Investigations of biases and experiential effects on social learning, social information use, and mirror systems can usefully inform one another. Unconstrained learning is predicted to shape mirror systems when the optimal response to an observed act varies, but constraints may emerge when immediate error-free responses are required and evolutionary or developmental history reliably predicts the optimal response. Given the power of associative learning, such constraints may be rare.

An empirical analysis of executive behaviour with hospital executive information systems in Taiwan.

PubMed

Huang, Wei-Min

2013-01-01

Existing health information systems largely only support the daily operations of a medical centre, and are unable to generate the information required by executives for decision-making. Building on past research concerning information retrieval behaviour and learning through mental models, this study examines the use of information systems by hospital executives in medical centres. It uses a structural equation model to help find ways hospital executives might use information systems more effectively. The results show that computer self-efficacy directly affects the maintenance of mental models, and that system characteristics directly impact learning styles and information retrieval behaviour. Other results include the significant impact of perceived environmental uncertainty on scan searches; information retrieval behaviour and focused searches on mental models and perceived efficiency; scan searches on mental model building; learning styles and model building on perceived efficiency; and finally the impact of mental model maintenance on perceived efficiency and effectiveness.

Designing a Personalized Guide Recommendation System to Mitigate Information Overload in Museum Learning

ERIC Educational Resources Information Center

Huang, Yong-Ming; Liu, Chien-Hung; Lee, Chun-Yi; Huang, Yueh-Min

2012-01-01

Museum learning has received a lot of attention in recent years. Museum learning refers to people's use of museums to acquire knowledge. However, a problem with information overload has caused in engaging in such learning. Information overload signifies that users encounter a mass of information and need to determine whether certain information…

Learning Information Systems: Theoretical Foundations.

ERIC Educational Resources Information Center

Paul, Terrance D.

This paper uses the conceptual framework of cybernetics to understand why learning information systems such as the "Accelerated Reader" work so successfully, and to examine how this simple yet incisive concept can be used to accelerate learning at every level and in all disciplines. The first section, "Basic Concepts,"…

A meta-learning system based on genetic algorithms

NASA Astrophysics Data System (ADS)

Pellerin, Eric; Pigeon, Luc; Delisle, Sylvain

2004-04-01

The design of an efficient machine learning process through self-adaptation is a great challenge. The goal of meta-learning is to build a self-adaptive learning system that is constantly adapting to its specific (and dynamic) environment. To that end, the meta-learning mechanism must improve its bias dynamically by updating the current learning strategy in accordance with its available experiences or meta-knowledge. We suggest using genetic algorithms as the basis of an adaptive system. In this work, we propose a meta-learning system based on a combination of the a priori and a posteriori concepts. A priori refers to input information and knowledge available at the beginning in order to built and evolve one or more sets of parameters by exploiting the context of the system"s information. The self-learning component is based on genetic algorithms and neural Darwinism. A posteriori refers to the implicit knowledge discovered by estimation of the future states of parameters and is also applied to the finding of optimal parameters values. The in-progress research presented here suggests a framework for the discovery of knowledge that can support human experts in their intelligence information assessment tasks. The conclusion presents avenues for further research in genetic algorithms and their capability to learn to learn.

Comparison of Computer-Based Versus Counselor-Based Occupational Information Systems with Disadvantaged Vocational Students

ERIC Educational Resources Information Center

Maola, Joseph; Kane, Gary

1976-01-01

Subjects, who were Occupational Work Experience students, were randomly assigned to individual guidance from either a computerized occupational information system, to a counselor-based information system or to a control group. Results demonstrate a hierarchical learning effect: The computer group learned more than the counseled group, which…

Improving Student Learning: A Strategic Planning Framework for an Integrated Student Information System in Charlotte-Mecklenburg Schools

ERIC Educational Resources Information Center

Ngoma, Sylvester

2010-01-01

There is growing recognition that an electronic Student Information System (SIS) affects student learning. Given the strategic importance of SIS in supporting school administration and enhancing student performance, school districts are increasingly interested in acquiring the most effective and efficient Student Information Systems for their…

Proceedings of the International Conference e-Learning 2014. Multi Conference on Computer Science and Information Systems (Lisbon, Portugal, July 15-19, 2014)

ERIC Educational Resources Information Center

Baptista Nunes, Miguel, Ed.; McPherson, Maggie, Ed.

2014-01-01

These proceedings contain the papers of the International Conference e-Learning 2014, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Lisbon, Portugal July 15-19, 2014). The e-Learning 2014 conference aims to address the…

Voice over Internet Protocol (VoIP) Technology as a Global Learning Tool: Information Systems Success and Control Belief Perspectives

ERIC Educational Resources Information Center

Chen, Charlie C.; Vannoy, Sandra

2013-01-01

Voice over Internet Protocol- (VoIP) enabled online learning service providers struggling with high attrition rates and low customer loyalty issues despite VoIP's high degree of system fit for online global learning applications. Effective solutions to this prevalent problem rely on the understanding of system quality, information quality, and…

Blogs and Social Network Sites as Activity Systems: Exploring Adult Informal Learning Process through Activity Theory Framework

ERIC Educational Resources Information Center

Heo, Gyeong Mi; Lee, Romee

2013-01-01

This paper uses an Activity Theory framework to explore adult user activities and informal learning processes as reflected in their blogs and social network sites (SNS). Using the assumption that a web-based space is an activity system in which learning occurs, typical features of the components were investigated and each activity system then…

Assessing eLearning Systems Success in Nigeria: An Application of the DeLone and McLean Information Systems Success Model

ERIC Educational Resources Information Center

Yakubu, M. Nasiru; Dasuki, Salihu Ibrahim

2018-01-01

Aim/Purpose: This study is based on the DeLone and McLean's Information Systems Success (D&M ISS) model, which was modified to determine the success factors responsible for the acceptance of an e-learning system called Canvas by students of a Nigerian University. Background: The adoption of eLearning has been under studied within the context…

Cost Optimization in E-Learning-Based Education Systems: Implementation and Learning Sequence

ERIC Educational Resources Information Center

Fazlollahtabar, Hamed; Yousefpoor, Narges

2009-01-01

Increasing the effectiveness of e-learning has become one of the most practically and theoretically important issues within both educational engineering and information system fields. The development of information technologies has contributed to growth in online training as an important education method. The online training environment enables…

Automatic Presentation of Sense-Specific Lexical Information in an Intelligent Learning System

ERIC Educational Resources Information Center

Eom, Soojeong

2012-01-01

Learning vocabulary and understanding texts present difficulty for language learners due to, among other things, the high degree of lexical ambiguity. By developing an intelligent tutoring system, this dissertation examines whether automatically providing enriched sense-specific information is effective for vocabulary learning and reading…

Quality evaluation on an e-learning system in continuing professional education of nurses.

PubMed

Lin, I-Chun; Chien, Yu-Mei; Chang, I-Chiu

2006-01-01

Maintaining high quality in Web-based learning is a powerful means of increasing the overall efficiency and effectiveness of distance learning. Many studies have evaluated Web-based learning but seldom evaluate from the information systems (IS) perspective. This study applied the famous IS Success model in measuring the quality of a Web-based learning system using a Web-based questionnaire for data collection. One hundred and fifty four nurses participated in the survey. Based on confirmatory factor analysis, the variables of the research model fit for measuring the quality of a Web-based learning system. As Web-based education continues to grow worldwide, the results of this study may assist the system adopter (hospital executives), the learner (nurses), and the system designers in making reasonable and informed judgments with regard to the quality of Web-based learning system in continuing professional education.

Development of an Adaptive Learning System with Two Sources of Personalization Information

ERIC Educational Resources Information Center

Tseng, J. C. R.; Chu, H. C.; Hwang, G. J.; Tsai, C. C.

2008-01-01

Previous research of adaptive learning mainly focused on improving student learning achievements based only on single-source of personalization information, such as learning style, cognitive style or learning achievement. In this paper, an innovative adaptive learning approach is proposed by basing upon two main sources of personalization…

Proposal of Self-Learning and Recognition System of Facial Expression

NASA Astrophysics Data System (ADS)

Ogawa, Yukihiro; Kato, Kunihito; Yamamoto, Kazuhiko

We describe realization of more complicated function by using the information acquired from some equipped unripe functions. The self-learning and recognition system of the human facial expression, which achieved under the natural relation between human and robot, are proposed. The robot with this system can understand human facial expressions and behave according to their facial expressions after the completion of learning process. The system modelled after the process that a baby learns his/her parents’ facial expressions. Equipping the robot with a camera the system can get face images and equipping the CdS sensors on the robot’s head the robot can get the information of human action. Using the information of these sensors, the robot can get feature of each facial expression. After self-learning is completed, when a person changed his facial expression in front of the robot, the robot operates actions under the relevant facial expression.

An Intelligent System for Determining Learning Style

ERIC Educational Resources Information Center

Ozdemir, Ali; Alaybeyoglu, Aysegul; Mulayim, Naciye; Uysal, Muhammed

2018-01-01

In this study, an intelligent system which determines learning style of the students is developed to increase success in effective and easy learning. The importance of the proposed software system is to determine convenience degree of the student's learning style. Personal information form and Dunn Learning Style Preference Survey are used to…

Engineering Lessons Learned and Systems Engineering Applications

NASA Technical Reports Server (NTRS)

Gill, Paul S.; Garcia, Danny; Vaughan, William W.

2005-01-01

Systems Engineering is fundamental to good engineering, which in turn depends on the integration and application of engineering lessons learned. Thus, good Systems Engineering also depends on systems engineering lessons learned from within the aerospace industry being documented and applied. About ten percent of the engineering lessons learned documented in the NASA Lessons Learned Information System are directly related to Systems Engineering. A key issue associated with lessons learned datasets is the communication and incorporation of this information into engineering processes. As part of the NASA Technical Standards Program activities, engineering lessons learned datasets have been identified from a number of sources. These are being searched and screened for those having a relation to Technical Standards. This paper will address some of these Systems Engineering Lessons Learned and how they are being related to Technical Standards within the NASA Technical Standards Program, including linking to the Agency's Interactive Engineering Discipline Training Courses and the life cycle for a flight vehicle development program.

Extracting laboratory test information from biomedical text

PubMed Central

Kang, Yanna Shen; Kayaalp, Mehmet

2013-01-01

Background: No previous study reported the efficacy of current natural language processing (NLP) methods for extracting laboratory test information from narrative documents. This study investigates the pathology informatics question of how accurately such information can be extracted from text with the current tools and techniques, especially machine learning and symbolic NLP methods. The study data came from a text corpus maintained by the U.S. Food and Drug Administration, containing a rich set of information on laboratory tests and test devices. Methods: The authors developed a symbolic information extraction (SIE) system to extract device and test specific information about four types of laboratory test entities: Specimens, analytes, units of measures and detection limits. They compared the performance of SIE and three prominent machine learning based NLP systems, LingPipe, GATE and BANNER, each implementing a distinct supervised machine learning method, hidden Markov models, support vector machines and conditional random fields, respectively. Results: Machine learning systems recognized laboratory test entities with moderately high recall, but low precision rates. Their recall rates were relatively higher when the number of distinct entity values (e.g., the spectrum of specimens) was very limited or when lexical morphology of the entity was distinctive (as in units of measures), yet SIE outperformed them with statistically significant margins on extracting specimen, analyte and detection limit information in both precision and F-measure. Its high recall performance was statistically significant on analyte information extraction. Conclusions: Despite its shortcomings against machine learning methods, a well-tailored symbolic system may better discern relevancy among a pile of information of the same type and may outperform a machine learning system by tapping into lexically non-local contextual information such as the document structure. PMID:24083058

Web-Based Evaluation System for Learning Management Systems

ERIC Educational Resources Information Center

Momani, Alaa

2010-01-01

E-learning systems have become an issue in recent years. A learning management system (LMS) is an electronic environment helps the educational society to communicate, exchange information, manage, and schedule the learning process. This study has provided a web-based evaluation system that may help the users to choose the convenient system…

An Active, Reflective Learning Cycle for E-Commerce Classes: Learning about E-Commerce by Doing and Teaching

ERIC Educational Resources Information Center

Abrahams, Alan S.; Singh, Tirna

2010-01-01

Active, experiential learning is an important component in information systems education, ensuring that students gain an appreciation for both practical and theoretical information systems concepts. Typically, students in active, experiential classes engage in real world projects for commercial companies or not-for-profit organizations. In the…

An Activity-Based Learning Approach for Key Geographical Information Systems (GIS) Concepts

ERIC Educational Resources Information Center

Srivastava, Sanjeev Kumar; Tait, Cynthia

2012-01-01

This study presents the effect of active learning methods of concepts in geographical information systems where students participated in a series of interlocked learning experiences. These activities spanned several teaching weeks and involved the creation of a hand drawn map that was scanned and geo-referenced with locations' coordinates derived…

Learning Computing Topics in Undergraduate Information Systems Courses: Managing Perceived Difficulty

ERIC Educational Resources Information Center

Wall, Jeffrey D.; Knapp, Janice

2014-01-01

Learning technical computing skills is increasingly important in our technology driven society. However, learning technical skills in information systems (IS) courses can be difficult. More than 20 percent of students in some technical courses may dropout or fail. Unfortunately, little is known about students' perceptions of the difficulty of…

Learning Styles, Online Content Usage and Exam Performance in a Mixed-Format Introductory Computer Information Systems Course

ERIC Educational Resources Information Center

Lang, Guido; O'Connell, Stephen D.

2015-01-01

We investigate the relationship between learning styles, online content usage and exam performance in an undergraduate introductory Computer Information Systems class comprised of both online video tutorials and in-person classes. Our findings suggest that, across students, (1) traditional learning style classification methodologies do not predict…

Integrating a Learning Management System with a Student Assignments Digital Repository. A Case Study

ERIC Educational Resources Information Center

Díaz, Javier; Schiavoni, Alejandra; Osorio, María Alejandra; Amadeo, Ana Paola; Charnelli, María Emilia

2013-01-01

The integration of different platforms and information Systems in the academic environment is highly important and quite a challenge within the field of Information Technology. This integration allows for higher resource availability and improved interaction among intervening actors. In the field of e-Learning, where Learning Management Systems…

Operating Characteristics of the Implicit Learning System Supporting Serial Interception Sequence Learning

ERIC Educational Resources Information Center

Sanchez, Daniel J.; Reber, Paul J.

2012-01-01

The memory system that supports implicit perceptual-motor sequence learning relies on brain regions that operate separately from the explicit, medial temporal lobe memory system. The implicit learning system therefore likely has distinct operating characteristics and information processing constraints. To attempt to identify the limits of the…

Informal Workplace Learning among Nurses: Organisational Learning Conditions and Personal Characteristics That Predict Learning Outcomes

ERIC Educational Resources Information Center

Kyndt, Eva; Vermeire, Eva; Cabus, Shana

2016-01-01

Purpose: This paper aims to examine which organisational learning conditions and individual characteristics predict the learning outcomes nurses achieve through informal learning activities. There is specific relevance for the nursing profession because of the rapidly changing healthcare systems. Design/Methodology/Approach: In total, 203 nurses…

Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects.

PubMed

Aparicio, Fernando; Morales-Botello, María Luz; Rubio, Margarita; Hernando, Asunción; Muñoz, Rafael; López-Fernández, Hugo; Glez-Peña, Daniel; Fdez-Riverola, Florentino; de la Villa, Manuel; Maña, Manuel; Gachet, Diego; Buenaga, Manuel de

2018-04-01

Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emerging disciplines such as 'educational data mining' and 'learning analytics and knowledge' have provided clear examples of the importance of the use of artificial intelligence techniques in education. The main objective of this study was to gather expert opinions regarding the benefits of using complementary methods that are supported by intelligent systems, specifically, by intelligent information access systems, when processing texts written in natural language and the benefits of using these methods as companion tools to the learning activities that are employed by biomedical and health sciences teachers. Eleven teachers of degree courses who belonged to the Faculties of Biomedical Sciences (BS) and Health Sciences (HS) of a Spanish university in Madrid were individually interviewed. These interviews were conducted using a mixed methods questionnaire that included 66 predefined close-ended and open-ended questions. In our study, three intelligent information access systems (i.e., BioAnnote, CLEiM and MedCMap) were successfully used to evaluate the teacher's perceptions regarding the utility of these systems and their different methods in learning activities. All teachers reported using active learning methods in the classroom, most of which were computer programs that were used for initially designing and later executing learning activities. All teachers used case-based learning methods in the classroom, with a specific emphasis on case reports written in Spanish and/or English. In general, few or none of the teachers were familiar with the technical terms related to the technologies used for these activities such as "intelligent systems" or "concept/mental maps". However, they clearly realized the potential applicability of such approaches in both the preparation and the effective use of these activities in the classroom. Specifically, the themes highlighted by a greater number of teachers after analyzing the responses to the open-ended questions were the usefulness of BioAnnote system to provide reliable sources of medical information and the usefulness of the bilingual nature of CLEiM system for learning medical terminology in English. Three intelligent information access systems were successfully used to evaluate the teacher's perceptions regarding the utility of these systems in learning activities. The results of this study showed that integration of reliable sources of information, bilingualism and selective annotation of concepts were the most valued features by the teachers, who also considered the incorporation of these systems into learning activities to be potentially very useful. In addition, in the context of our experimental conditions, our work provides useful insights into the way to appropriately integrate this type of intelligent information access systems into learning activities, revealing key themes to consider when developing such approaches. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Enhancing Teaching and Learning: How Cognitive Research Can Help

ERIC Educational Resources Information Center

Bowman, Margo; Frame, Debra L.; Kennette, Lynne N.

2013-01-01

Pedagogical considerations should be guided by empirical, brain-based research on the human information processing system. People build and organize knowledge into a network-like system that connects related information. As learning occurs, learners expand the network to accommodate new information. Instructional strategies can be used to maximize…

Educational Information Quantization for Improving Content Quality in Learning Management Systems

ERIC Educational Resources Information Center

Rybanov, Alexander Aleksandrovich

2014-01-01

The article offers the educational information quantization method for improving content quality in Learning Management Systems. The paper considers questions concerning analysis of quality of quantized presentation of educational information, based on quantitative text parameters: average frequencies of parts of speech, used in the text; formal…

"Information in Context": Co-Designing Workplace Structures and Systems for Organizational Learning

ERIC Educational Resources Information Center

Somerville, Mary M.; Howard, Zaana

2010-01-01

Introduction: This paper discusses an "information in context" design project at Auraria Library in Denver, Colorado which aims to collaboratively create organizational structures and communication systems with and for library employees. Method: This action research project is founded within shared leadership, informed learning and…

IS Success Model in E-Learning Context Based on Students' Perceptions

ERIC Educational Resources Information Center

Freeze, Ronald D.; Alshare, Khaled A.; Lane, Peggy L.; Wen, H. Joseph

2010-01-01

This study utilized the Information Systems Success (ISS) model in examining e-learning systems success. The study was built on the premise that system quality (SQ) and information quality (IQ) influence system use and user satisfaction, which in turn impact system success. A structural equation model (SEM), using LISREL, was used to test the…

A Community-Based Research Approach to Develop an Educational Web Portal

ERIC Educational Resources Information Center

Preiser-Houy, Lara; Navarrete, Carlos J.

2011-01-01

Service-learning projects are becoming more prevalent in Information Systems education. This study explores the use of community-based research, a special kind of a service-learning strategy, in an Information Systems web development course. The paper presents a case study of a service-learning project to develop an educational web portal for a…

A Paradigm for Student Learning Outcome Assessment in Information Systems Education: Continuous Improvement or Chasing Rainbows?

ERIC Educational Resources Information Center

Saulnier, Bruce

2014-01-01

A paradigm is presented for student learning outcome assessment in information systems education. Successful deployment of the paradigm is illustrated using the author's home institution. The paradigm is consistent with both the scholarship of teaching and learning and the scholarship of assessment. It is concluded that the deployment of the…

Informal learning from error in hospitals: what do we learn, how do we learn and how can informal learning be enhanced? A narrative review.

PubMed

de Feijter, Jeantine M; de Grave, Willem S; Koopmans, Richard P; Scherpbier, Albert J J A

2013-10-01

Learning from error is not just an individual endeavour. Organisations also learn from error. Hospitals provide many learning opportunities, which can be formal or informal. Informal learning from error in hospitals has not been researched in much depth so this narrative review focuses on five learning opportunities: morbidity and mortality conferences, incident reporting systems, patient claims and complaints, chart review and prospective risk analysis. For each of them we describe: (1) what can be learnt, categorised according to the seven CanMEDS competencies; (2) how it is possible to learn from them, analysed against a model of informal and incidental learning; and (3) how this learning can be enhanced. All CanMEDS competencies could be enhanced, but there was a particular focus on the roles of medical expert and manager. Informal learning occurred mostly through reflection and action and was often linked to the learning of others. Most important to enhance informal learning from these learning opportunities was the realisation of a climate of collaboration and trust. Possible new directions for future research on informal learning from error in hospitals might focus on ways to measure informal learning and the balance between formal and informal learning. Finally, 12 recommendations about how hospitals could enhance informal learning within their organisation are given.

Learning in neural networks based on a generalized fluctuation theorem

NASA Astrophysics Data System (ADS)

Hayakawa, Takashi; Aoyagi, Toshio

2015-11-01

Information maximization has been investigated as a possible mechanism of learning governing the self-organization that occurs within the neural systems of animals. Within the general context of models of neural systems bidirectionally interacting with environments, however, the role of information maximization remains to be elucidated. For bidirectionally interacting physical systems, universal laws describing the fluctuation they exhibit and the information they possess have recently been discovered. These laws are termed fluctuation theorems. In the present study, we formulate a theory of learning in neural networks bidirectionally interacting with environments based on the principle of information maximization. Our formulation begins with the introduction of a generalized fluctuation theorem, employing an interpretation appropriate for the present application, which differs from the original thermodynamic interpretation. We analytically and numerically demonstrate that the learning mechanism presented in our theory allows neural networks to efficiently explore their environments and optimally encode information about them.

Learning to navigate the healthcare system in a new country: a qualitative study.

PubMed

Straiton, Melanie L; Myhre, Sonja

2017-12-01

Learning to navigate a healthcare system in a new country is a barrier to health care. Understanding more about the specific navigation challenges immigrants experience may be the first step towards improving health information and thus access to care. This study considers the challenges that Thai and Filipino immigrant women encounter when learning to navigate the Norwegian primary healthcare system and the strategies they use. A qualitative interview study using thematic analysis. Norway. Fifteen Thai and 15 Filipino immigrant women over the age of 18 who had been living in Norway at least one year. The women took time to understand the role of the general practitioner and some were unaware of their right to an interpreter during consultations. In addition to reliance on family members and friends in their social networks, voluntary and cultural organisations provided valuable tips and advice on how to navigate the Norwegian health system. While some women actively engaged in learning more about the system, they noted a lack of information available in multiple languages. Informal sources play an important role in learning about the health care system. Formal information should be available in different languages in order to better empower immigrant women.

The Learning Management System Evolution. CDS Spotlight Report. Research Bulletin

ERIC Educational Resources Information Center

Lang, Leah; Pirani, Judith A.

2014-01-01

This Spotlight focuses on data from the 2013 Core Data Service (CDS) to better understand how higher education institutions approach learning management systems (LMSs). Information provided for this Spotlight was derived from Module 8 of the Core Data Service, which contains several questions regarding information systems and applications.…

The Use of a Mobile Learning Management System at an Online University and Its Effect on Learning Satisfaction and Achievement

ERIC Educational Resources Information Center

Shin, Won Sug; Kang, Minseok

2015-01-01

This study investigates online students' acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning's acceptance, and…

Mobile Guide System Using Problem-Solving Strategy for Museum Learning: A Sequential Learning Behavioural Pattern Analysis

ERIC Educational Resources Information Center

Sung, Y.-T.; Hou, H.-T.; Liu, C.-K.; Chang, K.-E.

2010-01-01

Mobile devices have been increasingly utilized in informal learning because of their high degree of portability; mobile guide systems (or electronic guidebooks) have also been adopted in museum learning, including those that combine learning strategies and the general audio-visual guide systems. To gain a deeper understanding of the features and…

On the Road to Graphicacy: The Learning of Graphical Representation Systems

ERIC Educational Resources Information Center

Postigo, Yolanda; Pozo, Juan Ignacio

2004-01-01

This article examines the learning of different types of graphic information by subjects with different levels of education and knowledge of the content represented. Three levels of graphic information learning were distinguished (explicit, implicit, and conceptual information processing) and two experiments were conducted, looking at graph and…

The Informal Workplace Learning Experiences of Virtual Team Members: A Look at the Role of Collaborative Technologies

ERIC Educational Resources Information Center

Jones, Frankie S.

2007-01-01

This qualitative study explored how collaborative technologies influence the informal learning experiences of virtual team members. Inputs revealed as critical to virtual informal learning were integrated, collaborative technological systems; positive relationships and trust; and organizational support and virtual team management. These inputs…

User observations on information sharing (corporate knowledge and lessons learned)

NASA Technical Reports Server (NTRS)

Montague, Ronald A.; Gregg, Lawrence A.; Martin, Shirley A.; Underwood, Leroy H.; Mcgee, John M.

1993-01-01

The sharing of 'corporate knowledge' and lessons learned in the NASA aerospace community has been identified by Johnson Space Center survey participants as a desirable tool. The concept of the program is based on creating a user friendly information system that will allow engineers, scientists, and managers at all working levels to share their information and experiences with other users irrespective of location or organization. The survey addresses potential end uses for such a system and offers some guidance on the development of subsequent processes to ensure the integrity of the information shared. This system concept will promote sharing of information between NASA centers, between NASA and its contractors, between NASA and other government agencies, and perhaps between NASA and institutions of higher learning.

Battling the challenges of training nurses to use information systems through theory-based training material design.

PubMed

Galani, Malatsi; Yu, Ping; Paas, Fred; Chandler, Paul

2014-01-01

The attempts to train nurses to effectively use information systems have had mixed results. One problem is that training materials are not adequately designed to guide trainees to gradually learn to use a system without experiencing a heavy cognitive load. This is because training design often does not take into consideration a learner's cognitive ability to absorb new information in a short training period. Given the high cost and difficulty of organising training in healthcare organisations, there is an urgent need for information system trainers to be aware of how cognitive overload or information overload affect a trainee's capability to acquire new knowledge and skills, and what instructional techniques can be used to facilitate effective learning. This paper introduces the concept of cognitive load and how it affects nurses when learning to use a new health information system. This is followed by the relevant strategies for instructional design, underpinned by the principles of cognitive load theory, which may be helpful for the development of effective instructional materials and activities for training nurses to use information systems.

Learning about systems-based practice in the informal curriculum: a case study in an academic pediatric continuity clinic.

PubMed

Balmer, Dorene; Ruzek, Sheryl; Ludwig, Stephen; Giardino, Angelo P

2007-01-01

Pediatric residents learn about systems-based practice (SBP) explicitly in the formal curriculum and implicitly in the informal curriculum as they engage in practice alongside physician faculty. Recent studies describe innovative ways to address SBP in the formal curriculum for SBP, but the informal curriculum has not been explored. We examined what, and how, third-year pediatric residents learn about SBP in the informal curriculum at one continuity clinic, and to consider how this learning aligns with the formal curriculum. A case study involving 10 third-year pediatric residents and 10 continuity preceptors was conducted at one continuity clinic, housed in a community-based, pediatric primary care center. Data were derived from 5 months (100 hours) of direct observation in the precepting room at the case clinic, semistructured interviews with residents (before and after observation) and with preceptors (after observation). Interview transcripts and notes from observation were inductively coded and analyzed for major themes. Two themes emerged in the informal curriculum. Residents perceived "our system," the academic health system in which they trained and practiced as separate and distinct from the "real system," the larger, societal context of health care. Residents also understood SBP as a commitment to helping individual patients and families navigate the complexities of "our system," dealing with issues that concerned them. Residents learn important lessons about SBP in the informal curriculum in continuity clinic. These lessons may reinforce some elements of the competency-based formal curriculum for SBP, but challenge others.

Harnessing the Power of Learning Management Systems: An E-Learning Approach for Professional Development.

PubMed

White, Meagan; Shellenbarger, Teresa

E-learning provides an alternative approach to traditional professional development activities. A learning management system may help nursing professional development practitioners deliver content more efficiently and effectively; however, careful consideration is needed during planning and implementation. This article provides essential information in the selection and use of a learning management system for professional development.

Numbers Are Not Enough. Why e-Learning Analytics Failed to Inform an Institutional Strategic Plan

ERIC Educational Resources Information Center

Macfadyen, Leah P.; Dawson, Shane

2012-01-01

Learning analytics offers higher education valuable insights that can inform strategic decision-making regarding resource allocation for educational excellence. Research demonstrates that learning management systems (LMSs) can increase student sense of community, support learning communities and enhance student engagement and success, and LMSs…

Improving the quality of cancer care in America through health information technology.

PubMed

Feeley, Thomas W; Sledge, George W; Levit, Laura; Ganz, Patricia A

2014-01-01

A recent report from the Institute of Medicine titled Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis, identifies improvement in information technology (IT) as essential to improving the quality of cancer care in America. The report calls for implementation of a learning healthcare IT system: a system that supports patient-clinician interactions by providing patients and clinicians with the information and tools necessary to make well informed medical decisions and to support quality measurement and improvement. While some elements needed for a learning healthcare system are already in place for cancer, they are incompletely implemented, have functional deficiencies, and are not integrated in a way that creates a true learning healthcare system. To achieve the goal of a learning cancer care delivery system, clinicians, professional organizations, government, and the IT industry will have to partner, develop, and incentivize participation. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Web Mining: Machine Learning for Web Applications.

ERIC Educational Resources Information Center

Chen, Hsinchun; Chau, Michael

2004-01-01

Presents an overview of machine learning research and reviews methods used for evaluating machine learning systems. Ways that machine-learning algorithms were used in traditional information retrieval systems in the "pre-Web" era are described, and the field of Web mining and how machine learning has been used in different Web mining…

Digital case-based learning system in school.

PubMed

Gu, Peipei; Guo, Jiayang

2017-01-01

With the continuing growth of multi-media learning resources, it is important to offer methods helping learners to explore and acquire relevant learning information effectively. As services that organize multi-media learning materials together to support programming learning, the digital case-based learning system is needed. In order to create a case-oriented e-learning system, this paper concentrates on the digital case study of multi-media resources and learning processes with an integrated framework. An integration of multi-media resources, testing and learning strategies recommendation as the learning unit is proposed in the digital case-based learning framework. The learning mechanism of learning guidance, multi-media materials learning and testing feedback is supported in our project. An improved personalized genetic algorithm which incorporates preference information and usage degree into the crossover and mutation process is proposed to assemble the personalized test sheet for each learner. A learning strategies recommendation solution is proposed to recommend learning strategies for learners to help them to learn. The experiments are conducted to prove that the proposed approaches are capable of constructing personalized sheets and the effectiveness of the framework.

Digital case-based learning system in school

PubMed Central

Gu, Peipei

2017-01-01

With the continuing growth of multi-media learning resources, it is important to offer methods helping learners to explore and acquire relevant learning information effectively. As services that organize multi-media learning materials together to support programming learning, the digital case-based learning system is needed. In order to create a case-oriented e-learning system, this paper concentrates on the digital case study of multi-media resources and learning processes with an integrated framework. An integration of multi-media resources, testing and learning strategies recommendation as the learning unit is proposed in the digital case-based learning framework. The learning mechanism of learning guidance, multi-media materials learning and testing feedback is supported in our project. An improved personalized genetic algorithm which incorporates preference information and usage degree into the crossover and mutation process is proposed to assemble the personalized test sheet for each learner. A learning strategies recommendation solution is proposed to recommend learning strategies for learners to help them to learn. The experiments are conducted to prove that the proposed approaches are capable of constructing personalized sheets and the effectiveness of the framework. PMID:29107965

An Update on the Learning Transfer System

ERIC Educational Resources Information Center

Choi, Myungweon; Ruona, Wendy E. A.

2008-01-01

Learning transfer in organizations is a central issue in HRD. Much of the research of the 1980-1990's informed the development of the learning transfer system inventory (Holton, Bates, & Ruona, 2000). However, it's vitally important to continually enhance our understanding of the learning transfer system. In this paper, we reviewed the new…

The Effect of Teaching Methods and Learning Style on Learning Program Design in Web-Based Education Systems

ERIC Educational Resources Information Center

Hung, Yen-Chu

2012-01-01

The instructional value of web-based education systems has been an important area of research in information systems education. This study investigates the effect of various teaching methods on program design learning for students with specific learning styles in web-based education systems. The study takes first-year Computer Science and…

A broadband multimedia TeleLearning system

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

Wang, Ruiping; Karmouch, A.

1996-12-31

In this paper we discuss a broadband multimedia TeleLearning system under development in the Multimedia Information Research Laboratory at the University of Ottawa. The system aims at providing a seamless environment for TeleLearning using the latest telecommunication and multimedia information processing technology. It basically consists of a media production center, a courseware author site, a courseware database, a courseware user site, and an on-line facilitator site. All these components are distributed over an ATM network and work together to offer a multimedia interactive courseware service. An MHEG-based model is exploited in designing the system architecture to achieve the real-time, interactive,more » and reusable information interchange through heterogeneous platforms. The system architecture, courseware processing strategies, courseware document models are presented.« less

The Domains for the Multi-Criteria Decisions about E-Learning Systems

ERIC Educational Resources Information Center

Uysal, Murat Pasa

2012-01-01

Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their…

Antecedences to Continued Intentions of Adopting E-Learning System in Blended Learning Instruction: A Contingency Framework Based on Models of Information System Success and Task-Technology Fit

ERIC Educational Resources Information Center

Lin, Wen-Shan; Wang, Chun-Hsien

2012-01-01

The objective of this study is to propose a research framework that investigates the relation between perceived fit and system factors that can motivate learners in continuing utilizing an e-learning system in blended learning instruction. As learners have the face-to-face learning opportunity in interacting with lecturers, the study aims at…

A Development of Automatic Audit System for Written Informed Consent using Machine Learning.

PubMed

Yamada, Hitomi; Takemura, Tadamasa; Asai, Takahiro; Okamoto, Kazuya; Kuroda, Tomohiro; Kuwata, Shigeki

2015-01-01

In Japan, most of all the university and advanced hospitals have implemented both electronic order entry systems and electronic charting. In addition, all medical records are subjected to inspector audit for quality assurance. The record of informed consent (IC) is very important as this provides evidence of consent from the patient or patient's family and health care provider. Therefore, we developed an automatic audit system for a hospital information system (HIS) that is able to evaluate IC automatically using machine learning.

Information Technologies and Workplace Learning.

ERIC Educational Resources Information Center

Roth, Gene L.

1995-01-01

Information technologies are important tools for individual, team, and organizational learning. Developments in virtual reality and the Internet, performance support systems that increase the efficiency of individuals and groups, and other innovations have the potential to enhance the relationship between work and learning. (SK)

Evaluating Bayesian Networks' Precision for Detecting Students' Learning Styles

ERIC Educational Resources Information Center

Garcia, Patricio; Amandi, Analia; Schiaffino, Silvia; Campo, Marcelo

2007-01-01

Students are characterized by different learning styles, focusing on different types of information and processing this information in different ways. One of the desirable characteristics of a Web-based education system is that all the students can learn despite their different learning styles. To achieve this goal we have to detect how students…

Learning Objects as Tools for Teaching Information Literacy Online: A Survey of Librarian Usage

ERIC Educational Resources Information Center

Mestre, Lori S.; Baures, Lisa; Niedbala, Mona; Bishop, Corinne; Cantrell, Sarah; Perez, Alice; Silfen, Kate

2011-01-01

Based on information gathered from two discussion sessions moderated by members of the Education and Behavioral Sciences Section's Online Learning Research Committee a survey was conducted to identify how librarians use course/learning management systems and learning objects to deliver instruction. Objectives of the study were to identify the…

Rapid learning: a breakthrough agenda.

PubMed

Etheredge, Lynn M

2014-07-01

A "rapid-learning health system" was proposed in a 2007 thematic issue of Health Affairs. The system was envisioned as one that uses evidence-based medicine to quickly determine the best possible treatments for patients. It does so by drawing on electronic health records and the power of big data to access large volumes of information from a variety of sources at high speed. The foundation for a rapid-learning health system was laid during 2007-13 by workshops, policy papers, large public investments in databases and research programs, and developing learning systems. Challenges now include implementing a new clinical research system with several hundred million patients, modernizing clinical trials and registries, devising and funding research on national priorities, and analyzing genetic and other factors that influence diseases and responses to treatment. Next steps also should aim to improve comparative effectiveness research; build on investments in health information technology to standardize handling of genetic information and support information exchange through apps and software modules; and develop new tools, data, and information for clinical decision support. Further advances will require commitment, leadership, and public-private and global collaboration. Project HOPE—The People-to-People Health Foundation, Inc.

Conceptualizing Debates in Learning and Educational Research: Toward a Complex Systems Conceptual Framework of Learning

ERIC Educational Resources Information Center

Jacobson, Michael J.; Kapur, Manu; Reimann, Peter

2016-01-01

This article proposes a conceptual framework of learning based on perspectives and methodologies being employed in the study of complex physical and social systems to inform educational research. We argue that the contexts in which learning occurs are complex systems with elements or agents at different levels--including neuronal, cognitive,…

From Information Center to Discovery System: Next Step for Libraries?

ERIC Educational Resources Information Center

Marcum, James W.

2001-01-01

Proposes a discovery system model to guide technology integration in academic libraries that fuses organizational learning, systems learning, and knowledge creation techniques with constructivist learning practices to suggest possible future directions for digital libraries. Topics include accessing visual and continuous media; information…

A Comparison of Users' Personal Information Sharing Awareness, Habits, and Practices in Social Networking Sites and E-Learning Systems

ERIC Educational Resources Information Center

Ball, Albert L.

2012-01-01

Although reports of identity theft continue to be widely published, users continue to post an increasing amount of personal information online, especially within social networking sites (SNS) and e-learning systems (ELS). Research has suggested that many users lack awareness of the threats that risky online personal information sharing poses to…

Smart-system of distance learning of visually impaired people based on approaches of artificial intelligence

NASA Astrophysics Data System (ADS)

Samigulina, Galina A.; Shayakhmetova, Assem S.

2016-11-01

Research objective is the creation of intellectual innovative technology and information Smart-system of distance learning for visually impaired people. The organization of the available environment for receiving quality education for visually impaired people, their social adaptation in society are important and topical issues of modern education.The proposed Smart-system of distance learning for visually impaired people can significantly improve the efficiency and quality of education of this category of people. The scientific novelty of proposed Smart-system is using intelligent and statistical methods of processing multi-dimensional data, and taking into account psycho-physiological characteristics of perception and awareness learning information by visually impaired people.

Distributed Practicum Supervision in a Managed Learning Environment (MLE)

ERIC Educational Resources Information Center

Carter, David

2005-01-01

This evaluation-research feasibility study piloted the creation of a technology-mediated managed learning environment (MLE) involving the implementation of one of a new generation of instructionally driven management information systems (IMISs). The system, and supporting information and communications technology (ICT) was employed to support…

Cultural Conflict: School-Community-Curriculum.

ERIC Educational Resources Information Center

Central Consolidated School District No. 22, Shiprock, NM.

This teacher training guide provides information about Navajo cultural beliefs that conflict with learning in the dominant society's educational system. The guide offers rationales for the taboos and recommendations for providing appropriate learning situations, materials, and multicultural learning styles. Section 1 contains information on Navajo…

The reality of virtual learning for nurses in the largest integrated health care system in the nation.

PubMed

Rick, Cathy; Kearns, Martha A; Thompson, Nancy A

2003-01-01

The health care network and hospital system within the Department of Veterans Affairs (VA), the Veterans Health Administration (VHA), provides employment to more than 56,000 nursing personnel and serves as clinical education site to countless other nursing and health professional students. Nurse administrators and educators are posed with the challenge of providing an environment in which each nurse is able to gain needed knowledge, learn new skills, and share and communicate this knowledge with other colleagues. The education of nurses improves the health status of veterans while also realizing individual professional enhancement. Regional and cultural diversity of the system present challenges to education, in both delivery and content. VHA's learning organizations, the Employee Education System and the Office of Special Projects, have maximized new technologies and information systems to provide innovative, virtual education opportunities, capitalizing on the benefits of informal and formal learning, thus moving VHA to the forefront in knowledge sharing and dissemination. The Virtual Learning Center, VA Knowledge Network, Learning Catalog, and VA Learning Online provide VHA's nurses with interactive, desktop virtual learning opportunities.

Suggestions for the Design of E-Learning Environments to Enhance Learner Self-Efficacy

ERIC Educational Resources Information Center

Hodges, Charles B.

2013-01-01

In this paper e-learning is used as an umbrella term for all types of learning involving technology. Graesser et al (2007) note that technologies for learning exist that allow for e-learning systems to be much more than information delivery systems, but "unfortunately, the learning strategies of most students are extremely limited, so the…

Rapid Training of Information Extraction with Local and Global Data Views

DTIC Science & Technology

2012-05-01

relation type extension system based on active learning a relation type extension system based on semi-supervised learning, and a crossdomain...bootstrapping system for domain adaptive named entity extraction. The active learning procedure adopts features extracted at the sentence level as the local

MHEG Based Distance Learning System on Information Superhighway.

ERIC Educational Resources Information Center

Lee, SeiHoon; Yoon, KyungSeob; Wang, ChangJong

As the need for distance education grows, requirements for the development of high-speed network-based real-time distance learning systems increases. MHEG-5 is the fifth part of the MHEG (Multimedia and Hypermedia information coding Experts Group) standard, and it defines a final-form representation for application interchange. This paper…

Developing Adaptable Online Information Literacy Modules for a Learning Management System

ERIC Educational Resources Information Center

Mune, Christina; Goldman, Crystal; Higgins, Silke; Eby, Laurel; Chan, Emily K.; Crotty, Linda

2015-01-01

Higher education institutions increasingly utilize learning management systems (LMS) to teach courses and programs in hybrid or online-only formats. Providing information literacy instruction in these emerging digital environments poses challenges to librarians as the delivery of instruction requires familiarity with navigating an LMS and…

Developing Trainee Teacher Practice with Geographical Information Systems (GIS)

ERIC Educational Resources Information Center

Walshe, Nicola

2017-01-01

There is general agreement that geographical information systems (GIS) have a place within the geography classroom; they offer the potential to support geographical learning, exploring real-world problems through student-centred learning, and developing spatial thinking. Despite this, teachers often avoid engaging with GIS and research suggests…

The One School Roomhouse: An Information and Learning Approach to Curriculum Integration.

ERIC Educational Resources Information Center

McKinney, Earl H., Jr.; Yoos, Charles J., II

1998-01-01

Three undergraduate courses--marketing, strategy, and management information systems--were brought together using a metalanguage of learning common to each domain. The intent was to encourage students to appreciate complexity, take responsibility for learning, work in teams, and communicate effectively. (SK)

Long-term memory: A review and meta-analysis of studies of declarative and procedural memory in specific language impairment

PubMed Central

Lum, Jarrad A. G.; Conti-Ramsden, Gina

2014-01-01

This review examined the status of long-term memory systems in specific language impairment (SLI), in particular declarative memory and aspects of procedural memory. Studies included in the review were identified following a systematic search of the literature and findings combined using meta-analysis. This review showed individuals with SLI are poorer than age matched controls in the learning and retrieval of verbal information from the declarative memory. However, there is evidence to suggest that the problems with declarative learning and memory for verbal information in SLI might be due to difficulties with verbal working memory and language. The learning and retrieval of non-verbal information from declarative memory appears relatively intact. In relation to procedural learning and memory, evidence indicates poor implicit learning of verbal information. Findings pertaining to nonverbal information have been mixed. This review of the literature indicates there are now substantial grounds for suspecting that multiple memory systems may be implicated in the impairment. PMID:24748707

A Genetic Algorithm Approach to Recognise Students' Learning Styles

ERIC Educational Resources Information Center

Yannibelli, Virginia; Godoy, Daniela; Amandi, Analia

2006-01-01

Learning styles encapsulate the preferences of the students, regarding how they learn. By including information about the student learning style, computer-based educational systems are able to adapt a course according to the individual characteristics of the students. In accomplishing this goal, educational systems have been mostly based on the…

Understanding Learner Acceptance of Learning Objects: The Roles of Learning Object Characteristics and Individual Differences

ERIC Educational Resources Information Center

Lau, Siong-Hoe; Woods, Peter C.

2009-01-01

Many organisations and institutions have integrated learning objects into their e-learning systems to make the instructional resources more efficient. Like any other information systems, this trend has made user acceptance of learning objects an increasingly critical issue as a high level of learner satisfaction and acceptance reflects that the…

A Cybernetic Design Methodology for 'Intelligent' Online Learning Support

NASA Astrophysics Data System (ADS)

Quinton, Stephen R.

The World Wide Web (WWW) provides learners and knowledge workers convenient access to vast stores of information, so much that present methods for refinement of a query or search result are inadequate - there is far too much potentially useful material. The problem often encountered is that users usually do not recognise what may be useful until they have progressed some way through the discovery, learning, and knowledge acquisition process. Additional support is needed to structure and identify potentially relevant information, and to provide constructive feedback. In short, support for learning is needed. The learning envisioned here is not simply the capacity to recall facts or to recognise objects. The focus is on learning that results in the construction of knowledge. Although most online learning platforms are efficient at delivering information, most do not provide tools that support learning as envisaged in this chapter. It is conceivable that Web-based learning environments can incorporate software systems that assist learners to form new associations between concepts and synthesise information to create new knowledge. This chapter details the rationale and theory behind a research study that aims to evolve Web-based learning environments into 'intelligent thinking' systems that respond to natural language human input. Rather than functioning simply as a means of delivering information, it is argued that online learning solutions will 1 day interact directly with students to support their conceptual thinking and cognitive development.

A Structural Model for Students' Adoption of Learning Management Systems: An Empirical Investigation in the Higher Education Context

ERIC Educational Resources Information Center

Findik-Coskunçay, Duygu; Alkis, Nurcan; Özkan-Yildirim, Sevgi

2018-01-01

With the recent advances in information technologies, Learning Management Systems have taken on a significant role in providing educational resources. The successful use of these systems in higher education is important for the implementation, management and continuous improvement of e-learning services to increase the quality of learning. This…

Delayed Feedback Disrupts the Procedural-Learning System but Not the Hypothesis-Testing System in Perceptual Category Learning

ERIC Educational Resources Information Center

Maddox, W. Todd; Ing, A. David

2005-01-01

W. T. Maddox, F. G. Ashby, and C. J. Bohil (2003) found that delayed feedback adversely affects information-integration but not rule-based category learning in support of a multiple-systems approach to category learning. However, differences in the number of stimulus dimensions relevant to solving the task and perceptual similarity failed to rule…

Shared Values as Anchors of a Learning Community: A Case Study in Information Systems Design

ERIC Educational Resources Information Center

Giordano, Daniela

2004-01-01

This paper examines the role in both individual and organizational learning of the system of values sustained by a community undertaking a design task. The discussion is based on the results of a longitudinal study of a community of novice information system designers supported by a Web-based shared design memory which allows reuse of design…

Improving Recall Using Database Management Systems: A Learning Strategy.

ERIC Educational Resources Information Center

Jonassen, David H.

1986-01-01

Describes the use of microcomputer database management systems to facilitate the instructional uses of learning strategies relating to information processing skills, especially recall. Two learning strategies, cross-classification matrixing and node acquisition and integration, are highlighted. (Author/LRW)

PERSO: Towards an Adaptive e-Learning System

ERIC Educational Resources Information Center

Chorfi, Henda; Jemni, Mohamed

2004-01-01

In today's information technology society, members are increasingly required to be up to date on new technologies, particularly for computers, regardless of their background social situation. In this context, our aim is to design and develop an adaptive hypermedia e-learning system, called PERSO (PERSOnalizing e-learning system), where learners…

Assessing the Value of E-Learning Systems

ERIC Educational Resources Information Center

Levy, Yair

2006-01-01

"Assessing the Value of E-Learning Systems" provides an extensive literature review pulling theories from the field of information systems, psychology and cognitive sciences, distance and online learning, as well as marketing and decision sciences. This book provides empirical evidence for the power of measuring value in the context of e-learning…

Web-Based Learning Support System

NASA Astrophysics Data System (ADS)

Fan, Lisa

Web-based learning support system offers many benefits over traditional learning environments and has become very popular. The Web is a powerful environment for distributing information and delivering knowledge to an increasingly wide and diverse audience. Typical Web-based learning environments, such as Web-CT, Blackboard, include course content delivery tools, quiz modules, grade reporting systems, assignment submission components, etc. They are powerful integrated learning management systems (LMS) that support a number of activities performed by teachers and students during the learning process [1]. However, students who study a course on the Internet tend to be more heterogeneously distributed than those found in a traditional classroom situation. In order to achieve optimal efficiency in a learning process, an individual learner needs his or her own personalized assistance. For a web-based open and dynamic learning environment, personalized support for learners becomes more important. This chapter demonstrates how to realize personalized learning support in dynamic and heterogeneous learning environments by utilizing Adaptive Web technologies. It focuses on course personalization in terms of contents and teaching materials that is according to each student's needs and capabilities. An example of using Rough Set to analyze student personal information to assist students with effective learning and predict student performance is presented.

Informal Learning in Science Museum: Development and Evaluation of a Mobile Exhibit Label System with iBeacon Technology

ERIC Educational Resources Information Center

Chen, Guang; Xin, Youlong; Chen, Nian-Shing

2017-01-01

Informal science learning has drawn the attention of researchers, educators and museum administrators for a long time. However, the problem of how to better support visitors to be more engaged while visiting exhibits and improve informal science learning performance is still missing. Context-aware technologies have the advantages of fostering…

Recommendation System Based On Association Rules For Distributed E-Learning Management Systems

NASA Astrophysics Data System (ADS)

Mihai, Gabroveanu

2015-09-01

Traditional Learning Management Systems are installed on a single server where learning materials and user data are kept. To increase its performance, the Learning Management System can be installed on multiple servers; learning materials and user data could be distributed across these servers obtaining a Distributed Learning Management System. In this paper is proposed the prototype of a recommendation system based on association rules for Distributed Learning Management System. Information from LMS databases is analyzed using distributed data mining algorithms in order to extract the association rules. Then the extracted rules are used as inference rules to provide personalized recommendations. The quality of provided recommendations is improved because the rules used to make the inferences are more accurate, since these rules aggregate knowledge from all e-Learning systems included in Distributed Learning Management System.

E-learning implementation in superior technical educational system

NASA Astrophysics Data System (ADS)

Musca, Gavril; Mihalache, Andrei; Musca, Elena

2016-11-01

E-learning methods apply to most modern and various domains but also represent a great tool for the mechanical educational system where there are a lot of sustained efforts for its implementation. Using, administrating and maintaining an e-learning system for a certain field of study requires knowledge related to computation system's utilization but also the understanding the working mechanisms behind it that allows the system to be fully customized in order to be perfect fitted to the user's needs and requirements. A Moodle based test is evaluated from several points of views such as coherence clarity, concise content, information synthesis capacity and the presentation mode which makes the difference between clear or fuzzy graphical representations or terms. The authors appreciate that the ability of managing information in real time by the professor is a decisive decision in order to successfully implement an e-learning web platform. Updating information and structuring trainee's activities from thoroughgoing study up to their individual proposals for conceived applications leads to a better understanding and practical knowledge of theory.

On Learning: Metrics Based Systems for Countering Asymmetric Threats

DTIC Science & Technology

2006-05-25

of self- education . While this alone cannot guarantee organizational learning , no organization can learn without a spirit of individual learning ...held views on globalization and the impact of Information Age technology . The emerging environment conceptually links to the learning model as part...On Learning : Metrics Based Systems for Countering Asymmetric Threats A Monograph by MAJ Rafael Lopez U.S. Army School of Advanced Military

Dialectical Learning in Information Systems

ERIC Educational Resources Information Center

Reed, Adam

2008-01-01

The classical dialectical (study partner) learning method of Greek and Hellenistic antiquity remains the traditional learning method of Jewish religious and cultural studies, and enjoys widespread informal use by students in some American universities. The cognitive advantages of dialectical study have led to its adoption as a powerful, general…

Technology in the Learning Sanctuary.

ERIC Educational Resources Information Center

Williams, Robert L.

1990-01-01

Adult residential programs can use educational technology to (1) create information icons that allow the learner to focus on and distill information; (2) remove barriers of time and space and create a measured reality within the learning sanctuary; and (3) develop open learning systems that are interactive and nonlinear. (SK)

Incorporating Learning Analytics in the Classroom

ERIC Educational Resources Information Center

Thille, Candace; Zimmaro, Dawn

2017-01-01

This chapter describes an open learning analytics system focused on learning process measures and designed to engage instructors and students in an evidence-informed decision-making process to improve learning.

Informal learning processes in support of clinical service delivery in a service-oriented community pharmacy.

PubMed

Patterson, Brandon J; Bakken, Brianne K; Doucette, William R; Urmie, Julie M; McDonough, Randal P

The evolving health care system necessitates pharmacy organizations' adjustments by delivering new services and establishing inter-organizational relationships. One approach supporting pharmacy organizations in making changes may be informal learning by technicians, pharmacists, and pharmacy owners. Informal learning is characterized by a four-step cycle including intent to learn, action, feedback, and reflection. This framework helps explain individual and organizational factors that influence learning processes within an organization as well as the individual and organizational outcomes of those learning processes. A case study of an Iowa independent community pharmacy with years of experience in offering patient care services was made. Nine semi-structured interviews with pharmacy personnel revealed initial evidence in support of the informal learning model in practice. Future research could investigate more fully the informal learning model in delivery of patient care services in community pharmacies. Copyright © 2016 Elsevier Inc. All rights reserved.

Transcranial infrared laser stimulation improves rule-based, but not information-integration, category learning in humans.

PubMed

Blanco, Nathaniel J; Saucedo, Celeste L; Gonzalez-Lima, F

2017-03-01

This is the first randomized, controlled study comparing the cognitive effects of transcranial laser stimulation on category learning tasks. Transcranial infrared laser stimulation is a new non-invasive form of brain stimulation that shows promise for wide-ranging experimental and neuropsychological applications. It involves using infrared laser to enhance cerebral oxygenation and energy metabolism through upregulation of the respiratory enzyme cytochrome oxidase, the primary infrared photon acceptor in cells. Previous research found that transcranial infrared laser stimulation aimed at the prefrontal cortex can improve sustained attention, short-term memory, and executive function. In this study, we directly investigated the influence of transcranial infrared laser stimulation on two neurobiologically dissociable systems of category learning: a prefrontal cortex mediated reflective system that learns categories using explicit rules, and a striatally mediated reflexive learning system that forms gradual stimulus-response associations. Participants (n=118) received either active infrared laser to the lateral prefrontal cortex or sham (placebo) stimulation, and then learned one of two category structures-a rule-based structure optimally learned by the reflective system, or an information-integration structure optimally learned by the reflexive system. We found that prefrontal rule-based learning was substantially improved following transcranial infrared laser stimulation as compared to placebo (treatment X block interaction: F(1, 298)=5.117, p=0.024), while information-integration learning did not show significant group differences (treatment X block interaction: F(1, 288)=1.633, p=0.202). These results highlight the exciting potential of transcranial infrared laser stimulation for cognitive enhancement and provide insight into the neurobiological underpinnings of category learning. Copyright © 2017 Elsevier Inc. All rights reserved.

A REVIEW OF EFFORTS TO ORGANIZE INFORMATION ABOUT HUMAN LEARNING, TRANSFER, AND RETENTION.

ERIC Educational Resources Information Center

GINSBERG, ROSE; AND OTHERS

FOURTEEN EFFORTS TO ORGANIZE AVAILABLE INFORMATION ON HUMAN LEARNING, TRANSFER, AND RETENTION ARE SUMMARIZED AND EVALUATED ON SIX CRITERIA--BEHAVIORAL SIGNIFICANCE OF CATEGORIES, SCOPE, OBJECTIVITY AND RELIABILITY OF CATEGORIES, PROGNOSIS FOR THE SYSTEM, LOGICAL STRUCTURE, AND HEURISTIC VALUE OF THE SYSTEM. ATTENTION IS GIVEN TO OTHER SOURCES OF…

Towards Improved Student Experiences in Service Learning in Information Systems Courses

ERIC Educational Resources Information Center

Petkova, Olga

2017-01-01

The paper explores relevant past research on service-learning in Information Systems courses since 2000. One of the conclusions from this is that most of the publications are not founded on specific theoretical models and are mainly about sharing instructor or student experiences. Then several theoretical frameworks from Education and other…

Impact of Hands-On Research Experience on Students' Learning in an Introductory Management Information System Course

ERIC Educational Resources Information Center

Wu, Yun; Sankar, Chetan S.

2013-01-01

Although students in Introductory Information Systems courses are taught new technology concepts, the complexity and constantly changing nature of these technologies makes it challenging to deliver the concepts effectively. Aiming to improve students' learning experiences, this research utilized the five phases of design science methodology to…

Integrating Soft Skill Competencies through Project-Based Learning across the Information Systems Curriculum

ERIC Educational Resources Information Center

Woodward, Belle S.; Sendall, Patricia; Ceccucci, Wendy

2010-01-01

Contemporary Information Systems graduates will be more marketable in the workplace upon graduation if they have combined competencies in both technical and soft skills: interpersonal communication, teamwork, time management, planning and organizational skills. Team and project-based learning can be used to incorporate soft skill competencies with…

The Impact of CMS Quality on the Outcomes of E-Learning Systems in Higher Education: An Empirical Study

ERIC Educational Resources Information Center

Kim, Kihyun; Trimi, Silvana; Park, Hyesung; Rhee, Shanggeun

2012-01-01

Course Management Systems (CMSs) in higher education have emerged as one of the most widely adopted e-learning platforms. This study examines the success of e-learning CMSs based on user satisfaction and benefits. Using DeLone and McLean's information system success model as a theoretical framework, we analyze the success of e-learning CMSs in…

Information Retrieval in Virtual Universities

ERIC Educational Resources Information Center

Puustjärvi, Juha; Pöyry, Päivi

2006-01-01

Information retrieval in the context of virtual universities deals with the representation, organization, and access to learning objects. The representation and organization of learning objects should provide the learner with an easy access to the learning objects. In this article, we give an overview of the ONES system, and analyze the relevance…

Providing a Platform for Parents? Exploring the Nature of Parental Engagement with School Learning Platforms

ERIC Educational Resources Information Center

Selwyn, N.; Banaji, S.; Hadjithoma-Garstka, C.; Clark, W.

2011-01-01

This paper investigates how schools are supporting parents' involvement with their children's education through the use of "Learning Platform" technologies--i.e. the integrated use of virtual learning environments, management information systems, communications, and other information and resource-sharing technologies. Based on in-depth…

Web-Based Learning System for Developing and Assessing Clinical Diagnostic Skills for Dermatology Residency Program

ERIC Educational Resources Information Center

Kuo, Fan-Ray; Chin, Yi-Ying; Lee, Chao-Hsien; Chiu, Yu-Hsien; Hong, Chien-Hu; Lee, Kuang-Lieh; Ho, Wen-Hsien; Lee, Chih-Hung

2016-01-01

Few studies have explored the learning difficulties and misconceptions that students encounter when using information and communication technology for e-learning. To address this issue, this research developed a system for evaluating the learning efficiency of medical students by applying two-tier diagnosis assessment. The effectiveness of the…

Automatic Detection of Learning Styles for an E-Learning System

ERIC Educational Resources Information Center

Ozpolat, Ebru; Akar, Gozde B.

2009-01-01

A desirable characteristic for an e-learning system is to provide the learner the most appropriate information based on his requirements and preferences. This can be achieved by capturing and utilizing the learner model. Learner models can be extracted based on personality factors like learning styles, behavioral factors like user's browsing…

How Teachers Learn: The Roles of Formal, Informal, and Independent Learning

ERIC Educational Resources Information Center

Jones, W. Monty; Dexter, Sara

2014-01-01

A qualitative study of math and science teachers at two middle schools identifies how their system for learning to integrate technology into their teaching goes beyond what school leaders typically consider when planning for teachers' learning. In addition to (a) the district-initiated, or formal, system of professional development (PD) and…

What Affect Student Cognitive Style in the Development of Hypermedia Learning System?

ERIC Educational Resources Information Center

Lee, Catherine Hui Min; Cheng, Yuk Wing; Rai, Shri; Depickere, Arnold

2005-01-01

Recent developments in learning technology such as hypermedia is becoming widespread and offer significant contribution to improve the delivery of learning and teaching materials. A key factor in the development of hypermedia learning system is cognitive style (CS) as it relates to users' information processing habits, representing individual…

NSF Support for Information Science Research.

ERIC Educational Resources Information Center

Brownstein, Charles N.

1986-01-01

Major research opportunities and needs are expected by the National Science Foundation in six areas of information science: models of adaptive information processing, learning, searching, and recognition; knowledge resource systems, particularly intelligent systems; user-system interaction; augmentation of human information processing tasks;…

Lessons Learned From A Study Of Genomics-Based Carrier Screening For Reproductive Decision Making.

PubMed

Wilfond, Benjamin S; Kauffman, Tia L; Jarvik, Gail P; Reiss, Jacob A; Richards, C Sue; McMullen, Carmit; Gilmore, Marian; Himes, Patricia; Kraft, Stephanie A; Porter, Kathryn M; Schneider, Jennifer L; Punj, Sumit; Leo, Michael C; Dickerson, John F; Lynch, Frances L; Clarke, Elizabeth; Rope, Alan F; Lutz, Kevin; Goddard, Katrina A B

2018-05-01

Genomics-based carrier screening is one of many opportunities to use genomic information to inform medical decision making, but clinicians, health care delivery systems, and payers need to determine whether to offer screening and how to do so in an efficient, ethical way. To shed light on this issue, we conducted a study in the period 2014-17 to inform the design of clinical screening programs and guide further health services research. Many of our results have been published elsewhere; this article summarizes the lessons we learned from that study and offers policy insights. Our experience can inform understanding of the potential impact of expanded carrier screening services on health system workflows and workforces-impacts that depend on the details of the screening approach. We found limited patient or health system harms from expanded screening. We also found that some patients valued the information they learned from the process. Future policy discussions should consider the value of offering such expanded carrier screening in health delivery systems with limited resources.

A Dynamic Social Feedback System to Support Learning and Social Interaction in Higher Education

ERIC Educational Resources Information Center

Thoms, Brian

2011-01-01

In this research, we examine the design, construction, and implementation of a dynamic, easy to use, feedback mechanism for social software. The tool was integrated into an existing university's online learning community (OLC). In line with constructivist learning models and practical information systems (IS) design, the feedback system provides…

Collaborative Annotation System Environment (CASE) for Online Learning

ERIC Educational Resources Information Center

Glover, Ian; Hardaker, Glenn; Xu, Zhijie

2004-01-01

This paper outlines the design and development process of an online annotation system and how it is applied to the sphere of collaborative online learning. The architecture and design of the annotation system, illustrated in this paper, have been developed to enrich collaborative learning content through adding a layer of information in online…

Marine Corps Warfighting Laboratory Home

Science.gov Websites

of Learning Information System (MCCOLIS) A collaborative, knowledge management system that contains Concept development * Warfighting Challenge Repository that supports the Campaign of Learning and Future

An overview of game-based learning in building services engineering education

NASA Astrophysics Data System (ADS)

Alanne, Kari

2016-03-01

To ensure proper competence development and short graduation times for engineering students, it is essential that the study motivation is encouraged by new learning methods. In game-based learning, the learner's engagement is increased and learning is made meaningful by applying game-like features such as competition and rewarding through virtual promotions or achievement badges. In this paper, the state of the art of game-based learning in building services engineering education at university level is reviewed and discussed. A systematic literature review indicates that educational games have been reported in the field of related disciplines, such as mechanical and civil engineering. The development of system-level educational games that realistically simulate work life in building services engineering is still in its infancy. Novel rewarding practices and more comprehensive approaches entailing the state-of-the-art information tools such as building information modelling, geographic information systems, building management systems and augmented reality are needed in the future.

Differential impact of relevant and irrelevant dimension primes on rule-based and information-integration category learning.

PubMed

Grimm, Lisa R; Maddox, W Todd

2013-11-01

Research has identified multiple category-learning systems with each being "tuned" for learning categories with different task demands and each governed by different neurobiological systems. Rule-based (RB) classification involves testing verbalizable rules for category membership while information-integration (II) classification requires the implicit learning of stimulus-response mappings. In the first study to directly test rule priming with RB and II category learning, we investigated the influence of the availability of information presented at the beginning of the task. Participants viewed lines that varied in length, orientation, and position on the screen, and were primed to focus on stimulus dimensions that were relevant or irrelevant to the correct classification rule. In Experiment 1, we used an RB category structure, and in Experiment 2, we used an II category structure. Accuracy and model-based analyses suggested that a focus on relevant dimensions improves RB task performance later in learning while a focus on an irrelevant dimension improves II task performance early in learning. © 2013.

Knowledge acquisition and interface design for learning on demand systems

NASA Technical Reports Server (NTRS)

Nelson, Wayne A.

1993-01-01

The rapid changes in our world precipitated by technology have created new problems and new challenges for education and training. A knowledge 'explosion' is occurring as our society moves toward a service oriented economy that relies on information as the major resource. Complex computer systems are beginning to dominate the workplace, causing alarming growth and change in many fields. The rapidly changing nature of the workplace, especially in fields related to information technology, requires that our knowledge be updated constantly. This characteristic of modern society poses seemingly unsolvable instructional problems involving coverage and obsolescence. The sheer amount of information to be learned is rapidly increasing, while at the same time some information becomes obsolete in light of new information. Education, therefore, must become a lifelong process that features learning of new material and skills as needed in relation to the job to be done. Because of the problems cited above, the current model of learning in advance may no longer be feasible in our high-technology world. In many cases, learning in advance is impossible because there are simply too many things to learn. In addition, learning in advance can be time consuming, and often results in decontextualized knowledge that does not readily transfer to the work environment. The large and growing discrepancy between the amount of potentially relevant knowledge available and the amount a person can know and remember makes learning on demand an important alternative to current instructional practices. Learning on demand takes place whenever an individual must learn something new in order to perform a task or make a decision. Learning on demand is a promising approach for addressing the problems of coverage and obsolescence because learning is contextualized and integrated into the task environment rather than being relegated to a separate phase that precedes work. Learning on demand allows learners to see for themselves the usefulness of new knowledge for actual problem situations, thereby increasing the motivation for learning new information. Finally, learning on demand makes new information relevant to the task at hand, leading to more informed decision making, better quality products, and improved performance.

Behavior Intention to Use of Learning Management System among Malaysian Pre-Service Teachers: A Confirmatory Factor Analysis

ERIC Educational Resources Information Center

Baleghi-Zadeh, Sousan; Ayub, Ahmad Fauzi Mohd; Mahmud, Rosnaini; Daud, Shaffe Mohd

2014-01-01

Learning Management system is a type of Information system that many universities invest on to be integrated with their curriculum. Therefore, factors which make students accept or reject Learning Management System is crucial for educational managers of universities. The main purpose of the present study is to modify and validate a measurement…

Iranian undergraduate nursing student perceptions of informal learning: A qualitative research.

PubMed

Seylani, Khatereh; Negarandeh, Reza; Mohammadi, Easa

2012-11-01

Nursing education is both formal and informal. Formal education represents only a small part of all the learning involved; and many students learn more effectively through informal processes. There is little information about nursing student informal education and how it affects their character and practice. This qualitative study explores undergraduate nursing student perceptions of informal learning during nursing studies. Data were gathered through semi-structured interviews with a sample of undergraduate nursing students (n = 14). Strauss and Corbin's constant comparison analysis approach was used for data analysis. The categories that emerged included personal maturity and emotional development, social development, closeness to God, alterations in value systems, and ethical and professional commitment. Findings reveal that nursing education could take advantage of informal learning opportunities to develop students' nontechnical skills and produce more competent students. Implications for nursing education are discussed.

Learning Analytics for Supporting Seamless Language Learning Using E-Book with Ubiquitous Learning System

ERIC Educational Resources Information Center

Mouri, Kousuke; Uosaki, Noriko; Ogata, Hiroaki

2018-01-01

Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at…

Create Learning Systems, Not Silos

ERIC Educational Resources Information Center

Hirsh, Stephanie; Psencik, Kay; Brown, Frederick

2018-01-01

In a learning system, central office personnel assume collective responsibility for schools and go about their work very differently. They are responsible not only for departments and programs, but also for student learning. They demonstrate that responsibility by engaging in data informed conversations about student achievement. Central office…

Model-based learning and the contribution of the orbitofrontal cortex to the model-free world

PubMed Central

McDannald, Michael A.; Takahashi, Yuji K.; Lopatina, Nina; Pietras, Brad W.; Jones, Josh L.; Schoenbaum, Geoffrey

2012-01-01

Learning is proposed to occur when there is a discrepancy between reward prediction and reward receipt. At least two separate systems are thought to exist: one in which predictions are proposed to be based on model-free or cached values; and another in which predictions are model-based. A basic neural circuit for model-free reinforcement learning has already been described. In the model-free circuit the ventral striatum (VS) is thought to supply a common-currency reward prediction to midbrain dopamine neurons that compute prediction errors and drive learning. In a model-based system, predictions can include more information about an expected reward, such as its sensory attributes or current, unique value. This detailed prediction allows for both behavioral flexibility and learning driven by changes in sensory features of rewards alone. Recent evidence from animal learning and human imaging suggests that, in addition to model-free information, the VS also signals model-based information. Further, there is evidence that the orbitofrontal cortex (OFC) signals model-based information. Here we review these data and suggest that the OFC provides model-based information to this traditional model-free circuitry and offer possibilities as to how this interaction might occur. PMID:22487030

Patient source of learning about health technologies and ratings of trust in technologies used in their care

PubMed Central

Montague, Enid

2011-01-01

In order to design effective health technologies and systems, it is important to understand how patients learn and make decisions about health technologies used in their care. The objective of this study was to examine patients' source of learning about technologies used in their care and how the source related to their trust in the technology used. Individual face-to-face and telephone interviews were conducted with 24 patients. Thirteen unique sources of information about technology were identified and three major themes emerged; outside of the work system versus inside the work system, when the health information was provided, and the medium used. Patients used multiple sources outside of the health care work system to learn about technologies that will be used in their care. Results showed a relationship between learning about technologies from web sources and trust in technologies but no relationship between learning about technologies from health care providers and trust in technologies. PMID:20967654

Family Literacy and the New Canadian: Formal, Non-Formal and Informal Learning: The Case of Literacy, Essential Skills and Language Learning in Canada

ERIC Educational Resources Information Center

Eaton, Sarah Elaine

2011-01-01

This paper examines literacy and language learning across the lifespan within the context of immigrants in the Canadian context. It explores the process of improving literacy skills and acquiring second or third language skills through the systems of formal, non-formal and informal learning, as defined by the OECD [Organisation for Economic…

Physics instruction induces changes in neural knowledge representation during successive stages of learning.

PubMed

Mason, Robert A; Just, Marcel Adam

2015-05-01

Incremental instruction on the workings of a set of mechanical systems induced a progression of changes in the neural representations of the systems. The neural representations of four mechanical systems were assessed before, during, and after three phases of incremental instruction (which first provided information about the system components, then provided partial causal information, and finally provided full functional information). In 14 participants, the neural representations of four systems (a bathroom scale, a fire extinguisher, an automobile braking system, and a trumpet) were assessed using three recently developed techniques: (1) machine learning and classification of multi-voxel patterns; (2) localization of consistently responding voxels; and (3) representational similarity analysis (RSA). The neural representations of the systems progressed through four stages, or states, involving spatially and temporally distinct multi-voxel patterns: (1) initially, the representation was primarily visual (occipital cortex); (2) it subsequently included a large parietal component; (3) it eventually became cortically diverse (frontal, parietal, temporal, and medial frontal regions); and (4) at the end, it demonstrated a strong frontal cortex weighting (frontal and motor regions). At each stage of knowledge, it was possible for a classifier to identify which one of four mechanical systems a participant was thinking about, based on their brain activation patterns. The progression of representational states was suggestive of progressive stages of learning: (1) encoding information from the display; (2) mental animation, possibly involving imagining the components moving; (3) generating causal hypotheses associated with mental animation; and finally (4) determining how a person (probably oneself) would interact with the system. This interpretation yields an initial, cortically-grounded, theory of learning of physical systems that potentially can be related to cognitive learning theories by suggesting links between cortical representations, stages of learning, and the understanding of simple systems. Copyright © 2015 Elsevier Inc. All rights reserved.

Developing Collective Learning Extension for Rapidly Evolving Information System Courses

ERIC Educational Resources Information Center

Agarwal, Nitin; Ahmed, Faysal

2017-01-01

Due to rapidly evolving Information System (IS) technologies, instructors find themselves stuck in the constant game of catching up. On the same hand students find their skills obsolete almost as soon as they graduate. As part of IS curriculum and education, we need to emphasize more on teaching the students "how to learn" while keeping…

nStudy: A System for Researching Information Problem Solving

ERIC Educational Resources Information Center

Winne, Philip H.; Nesbit, John C.; Popowich, Fred

2017-01-01

A bottleneck in gathering big data about learning is instrumentation designed to record data about processes students use to learn and information on which those processes operate. The software system nStudy fills this gap. nStudy is an extension to the Chrome web browser plus a server side database for logged trace data plus peripheral modules…

Multimedia Learning System and Its Effect on Self-Efficacy in Database Modeling and Design: An Exploratory Study

ERIC Educational Resources Information Center

Cheung, Waiman; Li, Eldon Y.; Yee, Lester W.

2003-01-01

Metadatabase modeling and design integrate process modeling and data modeling methodologies. Both are core topics in the information technology (IT) curriculum. Learning these topics has been an important pedagogical issue to the core studies for management information systems (MIS) and computer science (CSc) students. Unfortunately, the learning…

Examination of the Nonlinear Dynamic Systems Associated with Science Student Cognition While Engaging in Science Information Processing

ERIC Educational Resources Information Center

Lamb, Richard; Cavagnetto, Andy; Akmal, Tariq

2016-01-01

A critical problem with the examination of learning in education is that there is an underlying assumption that the dynamic systems associated with student information processing can be measured using static linear assessments. This static linear approach does not provide sufficient ability to characterize learning. Much of the modern research…

Understanding the Online Informal Learning of English as a Complex Dynamic System: An Emic Approach

ERIC Educational Resources Information Center

Sockett, Geoffrey

2013-01-01

Research into the online informal learning of English has already shown it to be a widespread phenomenon involving a range of comprehension and production activities such as viewing original version television series, listening to music on demand and social networking with other English users. Dynamic systems theory provides a suitable framework…

Quality Rating and Improvement System (QRIS) Validation Study Designs. CEELO FastFacts

ERIC Educational Resources Information Center

Schilder, D.

2013-01-01

In this "Fast Facts," a state has received Race to the Top Early Learning Challenge funds and is seeking information to inform the design of the Quality Rating and Improvement System (QRIS) validation study. The Center on Enhancing Early Learning Outcomes (CEELO) responds that according to Resnick (2012), validation of a QRIS is an…

Implementing an Enterprise Information System to Reengineer and Streamline Administrative Processes in a Distance Learning Unit

ERIC Educational Resources Information Center

Abdous, M'hammed; He, Wu

2009-01-01

During the past three years, we have developed and implemented an enterprise information system (EIS) to reengineer and facilitate the administrative process for preparing and teaching distance learning courses in a midsized-to-large university (with 23,000 students). The outcome of the implementation has been a streamlined and efficient process…

An Integrated Learning Approach to Teaching an Undergraduate Information Systems Course

ERIC Educational Resources Information Center

Riordan, Robert J.; Hine, Michael J.; Smith, Tim C.

2017-01-01

This paper describes the redesign and implementation of an introductory Information Systems class. The redesign was guided by principles drawn from the experiential and active learning literature. Central to the redesign are two simulated companies: petGRO, a fictional ERP-enabled pet food and accessories e-tailer, and beans4all, a technology…

Effects of Geographic Information System on the Learning of Environmental Education Concepts in Basic Computer-Mediated Classrooms in Nigeria

ERIC Educational Resources Information Center

Adeleke, Ayobami Gideon

2017-01-01

This research paper specifically examined the impact of Geographic Information System (GIS) integration in a learning method and on the performance and retention of Environmental Education (EE) concepts in basic social studies. Non-equivalent experimental research design was employed. 126 pupils in four intact, computer-mediated classrooms were…

Eye Tracking System for Enhanced Learning Experiences

ERIC Educational Resources Information Center

Sungkur, R. K.; Antoaroo, M. A.; Beeharry, A.

2016-01-01

Nowadays, we are living in a world where information is readily available and being able to provide the learner with the best suited situations and environment for his/her learning experiences is of utmost importance. In most learning environments, information is basically available in the form of written text. According to the eye-tracking…

The Intentional Use of Learning Management Systems (LMS) to Improve Outcomes in Studio

ERIC Educational Resources Information Center

MacKenzie, Andrew; Muminovic, Milica; Oerlemans, Karin

2017-01-01

At the University of Canberra, Australia, the design and architecture faculty are trialling a range of approaches to incorporating learning technologies in the first year foundation studio to improve student learning outcomes. For this study researchers collected information on students' access to their assignment information and feedback from the…

Learning and Technology in Alberta (1975 to 2009)

ERIC Educational Resources Information Center

Alberta Education, 2009

2009-01-01

Alberta's education system is a leader in the use of technology in teaching and learning. New information technologies create options for how teachers teach, how students learn, and how classrooms look and operate. This document chronicles the history of computer technology in Alberta from 1975-2009. The information is arranged in a tabulated…

Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on e-Learning (Madeira, Portugal, July 1-4, 2016)

ERIC Educational Resources Information Center

Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.

2016-01-01

These proceedings contain the papers of the International Conference e-Learning 2016, which was organised by the International Association for Development of the Information Society, 1-3 July, 2016. This conference is part of the Multi Conference on Computer Science and Information Systems 2016, 1-4 July. The e-Learning (EL) 2016 conference aims…

Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on e-Learning (Prague, Czech Republic, July 23-26, 2013)

ERIC Educational Resources Information Center

Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.

2013-01-01

These proceedings contain the papers of the International Conference e-Learning 2013, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Prague, Czech Republic, July 23-26, 2013). The e-Learning 2013 conference aims to…

Distributed Learning and Information Dynamics In Networked Autonomous Systems

DTIC Science & Technology

2015-11-20

2009 to June 30, 2015 4. TITLE AND SUBTITLE DISTRIBUTED LEARNING AND INFORMATION DYNAMICS IN NETWORKED AUTONOMOUS SYSTEMS 5a. CONTRACT NUMBER 5b...AUTONOMOUS SYSTEMS AFOSR Grant #FA9550–09–1–0538 PI: Eric Feron (current) Jeff S. Shamma (former) Georgia Institute of Technology Atlanta, GA 30332 1...Control. Design of event-based optimal remote estimation systems : We have proposed two new for- mulations to study the design of optimal remote

A literature review about usability evaluation methods for e-learning platforms.

PubMed

Freire, Luciana Lopes; Arezes, Pedro Miguel; Campos, José Creissac

2012-01-01

The usability analysis of information systems has been the target of several research studies over the past thirty years. These studies have highlighted a great diversity of points of view, including researchers from different scientific areas such as Ergonomics, Computer Science, Design and Education. Within the domain of information ergonomics, the study of tools and methods used for usability evaluation dedicated to E-learning presents evidence that there is a continuous and dynamic evolution of E-learning systems, in many different contexts -academics and corporative. These systems, also known as LMS (Learning Management Systems), can be classified according to their educational goals and their technological features. However, in these systems the usability issues are related with the relationship/interactions between user and system in the user's context. This review is a synthesis of research project about Information Ergonomics and embraces three dimensions, namely the methods, models and frameworks that have been applied to evaluate LMS. The study also includes the main usability criteria and heuristics used. The obtained results show a notorious change in the paradigms of usability, with which it will be possible to discuss about the studies carried out by different researchers that were focused on usability ergonomic principles aimed at E-learning.

Age-related declines of stability in visual perceptual learning.

PubMed

Chang, Li-Hung; Shibata, Kazuhisa; Andersen, George J; Sasaki, Yuka; Watanabe, Takeo

2014-12-15

One of the biggest questions in learning is how a system can resolve the plasticity and stability dilemma. Specifically, the learning system needs to have not only a high capability of learning new items (plasticity) but also a high stability to retain important items or processing in the system by preventing unimportant or irrelevant information from being learned. This dilemma should hold true for visual perceptual learning (VPL), which is defined as a long-term increase in performance on a visual task as a result of visual experience. Although it is well known that aging influences learning, the effect of aging on the stability and plasticity of the visual system is unclear. To address the question, we asked older and younger adults to perform a task while a task-irrelevant feature was merely exposed. We found that older individuals learned the task-irrelevant features that younger individuals did not learn, both the features that were sufficiently strong for younger individuals to suppress and the features that were too weak for younger individuals to learn. At the same time, there was no plasticity reduction in older individuals within the task tested. These results suggest that the older visual system is less stable to unimportant information than the younger visual system. A learning problem with older individuals may be due to a decrease in stability rather than a decrease in plasticity, at least in VPL. Copyright © 2014 Elsevier Ltd. All rights reserved.

Active learning for ontological event extraction incorporating named entity recognition and unknown word handling.

PubMed

Han, Xu; Kim, Jung-jae; Kwoh, Chee Keong

2016-01-01

Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled data, which are required for state-of-the-art supervised learning systems. Active learning is to choose the most informative documents for the supervised learning in order to reduce the amount of required manual annotations. Previous works of active learning, however, focused on the tasks of entity recognition and protein-protein interactions, but not on event extraction tasks for multiple event types. They also did not consider the evidence of event participants, which might be a clue for the presence of events in unlabeled documents. Moreover, the confidence scores of events produced by event extraction systems are not reliable for ranking documents in terms of informativity for supervised learning. We here propose a novel committee-based active learning method that supports multi-event extraction tasks and employs a new statistical method for informativity estimation instead of using the confidence scores from event extraction systems. Our method is based on a committee of two systems as follows: We first employ an event extraction system to filter potential false negatives among unlabeled documents, from which the system does not extract any event. We then develop a statistical method to rank the potential false negatives of unlabeled documents 1) by using a language model that measures the probabilities of the expression of multiple events in documents and 2) by using a named entity recognition system that locates the named entities that can be event arguments (e.g. proteins). The proposed method further deals with unknown words in test data by using word similarity measures. We also apply our active learning method for the task of named entity recognition. We evaluate the proposed method against the BioNLP Shared Tasks datasets, and show that our method can achieve better performance than such previous methods as entropy and Gibbs error based methods and a conventional committee-based method. We also show that the incorporation of named entity recognition into the active learning for event extraction and the unknown word handling further improve the active learning method. In addition, the adaptation of the active learning method into named entity recognition tasks also improves the document selection for manual annotation of named entities.

Attitudes to the Application of a Web-Based Learning System in a Microbiology Course

ERIC Educational Resources Information Center

Masiello, I.; Ramberg, R.; Lonka, K.

2005-01-01

Computer-based systems have great potential for delivering learning material. Here, a Web-based learning management system is employed by a medical university to support undergraduate courses. The objective was to help the university's staff to understand the readiness and attitudes of students to the use of information technology, their…

Privacy Act System of Records: Confidential Business Information Tracking System, EPA-20

EPA Pesticide Factsheets

Learn about the Confidential Business Information Tracking System, including who is covered in the system, the purpose of data collection, routine uses for the system's records, and other security procedures.

Information technology and its role in anaesthesia training and continuing medical education.

PubMed

Chu, Larry F; Erlendson, Matthew J; Sun, John S; Clemenson, Anna M; Martin, Paul; Eng, Reuben L

2012-03-01

Today's educators are faced with substantial challenges in the use of information technology for anaesthesia training and continuing medical education. Millennial learners have uniquely different learning styles than previous generations of students. These preferences distinctly incorporate the use of digital information technologies and social technologies to support learning. To be effective teachers, modern educators must be familiar with these new information technologies and understand how to use them for medical education. Examples of new information technologies include learning management systems, lecture capture, social media (YouTube, Flickr), social networking (Facebook), Web 2.0, multimedia (video learning triggers and point-of-view video) and mobile computing applications. The information technology challenges for educators in the twenty-first century include: (a) understanding how technology shapes the learning preferences of today's anaesthesia residents, (b) distinguishing between the function and properties of new learning technologies and (c) properly using these learning technologies to enhance the anaesthesia curriculum. Copyright © 2012 Elsevier Ltd. All rights reserved.

Motivation alters impression formation and related neural systems

PubMed Central

Zaki, Jamil; Ambady, Nalini

2017-01-01

Abstract Observers frequently form impressions of other people based on complex or conflicting information. Rather than being objective, these impressions are often biased by observers’ motives. For instance, observers often downplay negative information they learn about ingroup members. Here, we characterize the neural systems associated with biased impression formation. Participants learned positive and negative information about ingroup and outgroup social targets. Following this information, participants worsened their impressions of outgroup, but not ingroup, targets. This tendency was associated with a failure to engage neural structures including lateral prefrontal cortex, dorsal anterior cingulate cortex, temporoparietal junction, Insula and Precuneus when processing negative information about ingroup (but not outgroup) targets. To the extent that participants engaged these regions while learning negative information about ingroup members, they exhibited less ingroup bias in their impressions. These data are consistent with a model of ‘effortless bias’, under which perceivers fail to process goal-inconsistent information in order to maintain desired conclusions. PMID:27798250

Information extraction from multi-institutional radiology reports.

PubMed

Hassanpour, Saeed; Langlotz, Curtis P

2016-01-01

The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to the referring physicians and records that information for future clinical and research use. Although efforts to structure some radiology report information through predefined templates are beginning to bear fruit, a large portion of radiology report information is entered in free text. The free text format is a major obstacle for rapid extraction and subsequent use of information by clinicians, researchers, and healthcare information systems. This difficulty is due to the ambiguity and subtlety of natural language, complexity of described images, and variations among different radiologists and healthcare organizations. As a result, radiology reports are used only once by the clinician who ordered the study and rarely are used again for research and data mining. In this work, machine learning techniques and a large multi-institutional radiology report repository are used to extract the semantics of the radiology report and overcome the barriers to the re-use of radiology report information in clinical research and other healthcare applications. We describe a machine learning system to annotate radiology reports and extract report contents according to an information model. This information model covers the majority of clinically significant contents in radiology reports and is applicable to a wide variety of radiology study types. Our automated approach uses discriminative sequence classifiers for named-entity recognition to extract and organize clinically significant terms and phrases consistent with the information model. We evaluated our information extraction system on 150 radiology reports from three major healthcare organizations and compared its results to a commonly used non-machine learning information extraction method. We also evaluated the generalizability of our approach across different organizations by training and testing our system on data from different organizations. Our results show the efficacy of our machine learning approach in extracting the information model's elements (10-fold cross-validation average performance: precision: 87%, recall: 84%, F1 score: 85%) and its superiority and generalizability compared to the common non-machine learning approach (p-value<0.05). Our machine learning information extraction approach provides an effective automatic method to annotate and extract clinically significant information from a large collection of free text radiology reports. This information extraction system can help clinicians better understand the radiology reports and prioritize their review process. In addition, the extracted information can be used by researchers to link radiology reports to information from other data sources such as electronic health records and the patient's genome. Extracted information also can facilitate disease surveillance, real-time clinical decision support for the radiologist, and content-based image retrieval. Copyright © 2015 Elsevier B.V. All rights reserved.

Enterprise Approaches to Information and Learning Technology

ERIC Educational Resources Information Center

Ferrell, Gill

2007-01-01

Like it or not, an institution's IT infrastructure is a matter with which institutional strategic planners must concern themselves. Information systems represent a significant investment, they perform mission-critical functions, and the appropriate use of information and learning technologies can have a critical part to play in delivering against…

Privacy Impact Assessment for the Office of Administrative Services Information System

EPA Pesticide Factsheets

The Office of Administrative Services Information System collects contact information and other Personally Identifiable Information (PII). Learn how this data is collected, used, access to the data, and the purpose of data collection.

Information Infrastructure, Information Environments, and Long-Term Collaboration

NASA Astrophysics Data System (ADS)

Baker, K. S.; Pennington, D. D.

2009-12-01

Information infrastructure that supports collaborative science is a complex system of people, organizational arrangements, and tools that require co-management. Contemporary studies are exploring how to establish and characterize effective collaborative information environments. Collaboration depends on the flow of information across the human and technical system components through mechanisms that create linkages, both conceptual and technical. This transcends the need for requirements solicitation and usability studies, highlighting synergistic interactions between humans and technology that can lead to emergence of group level cognitive properties. We consider the ramifications of placing priority on establishing new metaphors and new types of learning environments located near-to-data-origin for the field sciences. In addition to changes in terms of participant engagement, there are implications in terms of innovative contributions to the design of information systems and data exchange. While data integration occurs in the minds of individual participants, it may be facilitated by collaborative thinking and community infrastructure. Existing learning frameworks - from Maslow’s hierarchy of needs to organizational learning - require modification and extension if effective approaches to decentralized information management and systems design are to emerge. Case studies relating to data integration include ecological community projects: development of cross-disciplinary conceptual maps and of a community unit registry.

Sleep, offline processing, and vocal learning

PubMed Central

Margoliash, Daniel; Schmidt, Marc F

2009-01-01

The study of song learning and the neural song system has provided an important comparative model system for the study of speech and language acquisition. We describe some recent advances in the bird song system, focusing on the role of offline processing including sleep in processing sensory information and in guiding developmental song learning. These observations motivate a new model of the organization and role of the sensory memories in vocal learning. PMID:19906416

Social Intelligence in a Human-Machine Collaboration System

NASA Astrophysics Data System (ADS)

Nakajima, Hiroshi; Morishima, Yasunori; Yamada, Ryota; Brave, Scott; Maldonado, Heidy; Nass, Clifford; Kawaji, Shigeyasu

In this information society of today, it is often argued that it is necessary to create a new way of human-machine interaction. In this paper, an agent with social response capabilities has been developed to achieve this goal. There are two kinds of information that is exchanged by two entities: objective and functional information (e.g., facts, requests, states of matters, etc.) and subjective information (e.g., feelings, sense of relationship, etc.). Traditional interactive systems have been designed to handle the former kind of information. In contrast, in this study social agents handling the latter type of information are presented. The current study focuses on sociality of the agent from the view point of Media Equation theory. This article discusses the definition, importance, and benefits of social intelligence as agent technology and argues that social intelligence has a potential to enhance the user's perception of the system, which in turn can lead to improvements of the system's performance. In order to implement social intelligence in the agent, a mind model has been developed to render affective expressions and personality of the agent. The mind model has been implemented in a human-machine collaborative learning system. One differentiating feature of the collaborative learning system is that it has an agent that performs as a co-learner with which the user interacts during the learning session. The mind model controls the social behaviors of the agent, thus making it possible for the user to have more social interactions with the agent. The experiment with the system suggested that a greater degree of learning was achieved when the students worked with the co-learner agent and that the co-learner agent with the mind model that expressed emotions resulted in a more positive attitude toward the system.

Using Websites Wisely

ERIC Educational Resources Information Center

Coiro, Julie; Fogleman, Jay

2011-01-01

Online resources can deepen student learning--if teachers design the right tasks and learner supports. In this article, the authors look at instructional websites teachers will want to use with their students. They focus on three types of web-based learning environments--(1) informational reading systems; (2) interactive learning systems; and (3)…

Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on e-Learning (Las Palmas de Gran Canaria, Spain, July 21-24, 2015)

ERIC Educational Resources Information Center

Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.

2015-01-01

These proceedings contain the papers of the International Conference e-Learning 2015, which was organised by the International Association for Development of the Information and Society and is part of the Multi Conference on Computer Science and Information Systems (Las Palmas de Gran Canaria, Spain, July 21-24, 2015). The e-Learning 2015…

Can E-Learning System Enhance Learning Culture in the Workplace? A Comparison among Companies in South Korea

ERIC Educational Resources Information Center

Yoo, Sun Joo; Huang, Wenhao David

2016-01-01

How organizations need to act in order to develop their learning capacities has always been a focal interest of research and practice in the workplace. In practice, an e-learning system is often utilized to foster professional development as it is capable of delivering information and knowledge to individuals across organizations. However, the…

The Effect of Feedback Delay and Feedback Type on Perceptual Category Learning: The Limits of Multiple Systems

ERIC Educational Resources Information Center

Dunn, John C.; Newell, Ben R.; Kalish, Michael L.

2012-01-01

Evidence that learning rule-based (RB) and information-integration (II) category structures can be dissociated across different experimental variables has been used to support the view that such learning is supported by multiple learning systems. Across 4 experiments, we examined the effects of 2 variables, the delay between response and feedback…

Learning from Action Evaluation of the Use of Multimedia Case Studies in Management Information Systems Courses

ERIC Educational Resources Information Center

Kawulich, Barbara B.

2011-01-01

This manuscript shares lessons learned from conducting an action evaluation of the use of multimedia case studies in Management Information Systems (MIS) courses. Three undergraduate MIS classes took part in the study. The purpose for using case studies in these classes was to teach students about the role of MIS in business. An action evaluation…

Communication and Research Skills in the Information Systems Curriculum: A Method of Assessment

ERIC Educational Resources Information Center

Lazarony, Paul J.; Driscoll, Donna A.

2010-01-01

Assessment of learning goals has become the norm in business programs in higher education across the country. This paper offers a methodology for the assessment of both communication skills and research skills within a curriculum of the Bachelor of Science in Information Systems Program. Program level learning goals assessed in this paper are: (1)…

Hitting the Target: Target Setting and Information Systems for the Learning and Skills Sector.

ERIC Educational Resources Information Center

Owen, Jane; Alterman, Jeff

The use of target setting in conjunction with good information systems in colleges and work-based learning (WBL) providers can lead to improved service provisions across the sector in the United Kingdom. Target setting must be carried out in a systematic way in which providers must develop target- setting processes with a focus on learner success;…

Preparing Information Systems Graduates for a Complex Society: Aligning IS Curricula with Liberal Education Learning Outcomes

ERIC Educational Resources Information Center

Pratt, Jean A.; Keys, Anthony; Wirkus, Tyrrell

2014-01-01

The purpose of this paper is to encourage Information Systems (IS) faculty to intentionally revise their curriculum to address (and assess) higher-order learning skills which are demanded by industry and society and are representative of a liberal arts based education. We substantiated the need for this proposed curriculum revision by first…

Issues in Integrating Information Technology in Learning and Teaching EFL: The Saudi Experience

ERIC Educational Resources Information Center

Al-Maini, Yousef Hamad

2013-01-01

The Saudi education system is facing a climate of change characterized by an interest in integrating new technology and educational approaches to improve teaching and learning. In this climate, the present paper explores the issues in integrating information technology in learning and teaching English as a foreign language (EFL) in government…

Student Satisfaction Process in Virtual Learning System: Considerations Based in Information and Service Quality from Brazil's Experience

ERIC Educational Resources Information Center

Machado-Da-Silva, Fábio Nazareno; Meirelles, Fernando de Souza; Filenga, Douglas; Filho, Marino Brugnolo

2014-01-01

Distance learning has undergone great changes, especially since the advent of the Internet and communication and information technology. Questions have been asked following the growth of this mode of instructional activity. Researchers have investigated methods to assess the benefits of e-learning from a number of perspectives. This survey…

Enrolment Statistics in Open Learning Systems. Coombe Lodge Working Paper. Information Bank Number 1582.

ERIC Educational Resources Information Center

Latcham, Jack

The development and extension of open learning systems in British institutions of further and higher education has given rise to a need for changes in the methods of recording student progress. Open learning systems' provision of a wide flexibility of pace so that students can extend or compress their periods of study as compared with traditional…

Experiencing Economic Concepts: Formal and Informal Concept Learning.

ERIC Educational Resources Information Center

Armento, Beverly Jeanne

1980-01-01

This article discusses the feasibility of and the skills needed for teaching basic economic concepts such as supply and demand in an informal learning situation, in this case the simulation of an economic system based on barter. (CJ)

A Conceptual Framework for Evolving, Recommender Online Learning Systems

ERIC Educational Resources Information Center

Peiris, K. Dharini Amitha; Gallupe, R. Brent

2012-01-01

A comprehensive conceptual framework is developed and described for evolving recommender-driven online learning systems (ROLS). This framework describes how such systems can support students, course authors, course instructors, systems administrators, and policy makers in developing and using these ROLS. The design science information systems…

A theoretical framework for improving education in geriatric medicine.

PubMed

Boreham, N C

1983-01-01

Alternative concepts of learning include a formal system in which part of the medical curriculum is designated as that for geriatric medicine; a non-formal system including conferences, lectures, broadcasts, available to both medical students and physicians; and thirdly, an informal system in which doctors learn medicine through their experience practising the profession. While the most emphasis in medical schools would seem to be on the formal system it is essential that medical educators (if they wish their students in later life to maintain high levels of self-initiated learning) must use all three strategies. The structure of a system of formal teaching for geriatric medicine is examined. An important objective is attitude change and it is in achieving this that geriatricians must be particularly involved in non-formal and informal systems.

The organization of an autonomous learning system

NASA Technical Reports Server (NTRS)

Kanerva, Pentti

1988-01-01

The organization of systems that learn from experience is examined, human beings and animals being prime examples of such systems. How is their information processing organized. They build an internal model of the world and base their actions on the model. The model is dynamic and predictive, and it includes the systems' own actions and their effects. In modeling such systems, a large pattern of features represents a moment of the system's experience. Some of the features are provided by the system's senses, some control the system's motors, and the rest have no immediate external significance. A sequence of such patterns then represents the system's experience over time. By storing such sequences appropriately in memory, the system builds a world model based on experience. In addition to the essential function of memory, fundamental roles are played by a sensory system that makes raw information about the world suitable for memory storage and by a motor system that affects the world. The relation of sensory and motor systems to the memory is discussed, together with how favorable actions can be learned and unfavorable actions can be avoided. Results in classical learning theory are explained in terms of the model, more advanced forms of learning are discussed, and the relevance of the model to the frame problem of robotics is examined.

Memory and cognitive control circuits in mathematical cognition and learning.

PubMed

Menon, V

2016-01-01

Numerical cognition relies on interactions within and between multiple functional brain systems, including those subserving quantity processing, working memory, declarative memory, and cognitive control. This chapter describes recent advances in our understanding of memory and control circuits in mathematical cognition and learning. The working memory system involves multiple parietal-frontal circuits which create short-term representations that allow manipulation of discrete quantities over several seconds. In contrast, hippocampal-frontal circuits underlying the declarative memory system play an important role in formation of associative memories and binding of new and old information, leading to the formation of long-term memories that allow generalization beyond individual problem attributes. The flow of information across these systems is regulated by flexible cognitive control systems which facilitate the integration and manipulation of quantity and mnemonic information. The implications of recent research for formulating a more comprehensive systems neuroscience view of the neural basis of mathematical learning and knowledge acquisition in both children and adults are discussed. © 2016 Elsevier B.V. All rights reserved.

Memory and cognitive control circuits in mathematical cognition and learning

PubMed Central

Menon, V.

2018-01-01

Numerical cognition relies on interactions within and between multiple functional brain systems, including those subserving quantity processing, working memory, declarative memory, and cognitive control. This chapter describes recent advances in our understanding of memory and control circuits in mathematical cognition and learning. The working memory system involves multiple parietal–frontal circuits which create short-term representations that allow manipulation of discrete quantities over several seconds. In contrast, hippocampal–frontal circuits underlying the declarative memory system play an important role in formation of associative memories and binding of new and old information, leading to the formation of long-term memories that allow generalization beyond individual problem attributes. The flow of information across these systems is regulated by flexible cognitive control systems which facilitate the integration and manipulation of quantity and mnemonic information. The implications of recent research for formulating a more comprehensive systems neuroscience view of the neural basis of mathematical learning and knowledge acquisition in both children and adults are discussed. PMID:27339012

The Role of Fractality in Perceptual Learning: Exploration in Dynamic Touch

ERIC Educational Resources Information Center

Stephen, Damian G.; Arzamarski, Ryan; Michaels, Claire F.

2010-01-01

Perceptual systems must learn to explore and to use the resulting information to hone performance. Optimal performance depends on using information available at many time scales, from the near instantaneous values of variables underlying perception (i.e., detection), to longer term information about appropriate scaling (i.e., calibration), to yet…

A Multi-Agent System for Intelligent Online Education.

ERIC Educational Resources Information Center

O'Riordan, Colm; Griffith, Josephine

1999-01-01

Describes the system architecture of an intelligent Web-based education system that includes user modeling agents, information filtering agents for automatic information gathering, and the multi-agent interaction. Discusses information management; user interaction; support for collaborative peer-peer learning; implementation; testing; and future…

Conjunctive patches subspace learning with side information for collaborative image retrieval.

PubMed

Zhang, Lining; Wang, Lipo; Lin, Weisi

2012-08-01

Content-Based Image Retrieval (CBIR) has attracted substantial attention during the past few years for its potential practical applications to image management. A variety of Relevance Feedback (RF) schemes have been designed to bridge the semantic gap between the low-level visual features and the high-level semantic concepts for an image retrieval task. Various Collaborative Image Retrieval (CIR) schemes aim to utilize the user historical feedback log data with similar and dissimilar pairwise constraints to improve the performance of a CBIR system. However, existing subspace learning approaches with explicit label information cannot be applied for a CIR task, although the subspace learning techniques play a key role in various computer vision tasks, e.g., face recognition and image classification. In this paper, we propose a novel subspace learning framework, i.e., Conjunctive Patches Subspace Learning (CPSL) with side information, for learning an effective semantic subspace by exploiting the user historical feedback log data for a CIR task. The CPSL can effectively integrate the discriminative information of labeled log images, the geometrical information of labeled log images and the weakly similar information of unlabeled images together to learn a reliable subspace. We formally formulate this problem into a constrained optimization problem and then present a new subspace learning technique to exploit the user historical feedback log data. Extensive experiments on both synthetic data sets and a real-world image database demonstrate the effectiveness of the proposed scheme in improving the performance of a CBIR system by exploiting the user historical feedback log data.

Finding accurate frontiers: A knowledge-intensive approach to relational learning

NASA Technical Reports Server (NTRS)

Pazzani, Michael; Brunk, Clifford

1994-01-01

An approach to analytic learning is described that searches for accurate entailments of a Horn Clause domain theory. A hill-climbing search, guided by an information based evaluation function, is performed by applying a set of operators that derive frontiers from domain theories. The analytic learning system is one component of a multi-strategy relational learning system. We compare the accuracy of concepts learned with this analytic strategy to concepts learned with an analytic strategy that operationalizes the domain theory.

The Intelligent Technologies of Electronic Information System

NASA Astrophysics Data System (ADS)

Li, Xianyu

2017-08-01

Based upon the synopsis of system intelligence and information services, this paper puts forward the attributes and the logic structure of information service, sets forth intelligent technology framework of electronic information system, and presents a series of measures, such as optimizing business information flow, advancing data decision capability, improving information fusion precision, strengthening deep learning application and enhancing prognostic and health management, and demonstrates system operation effectiveness. This will benefit the enhancement of system intelligence.

Data That Drive: Closing the Loop in the Learning Hospital System

PubMed Central

Liu, Vincent X.; Morehouse, John W.; Baker, Jennifer M.; Greene, John D.; Kipnis, Patricia; Escobar, Gabriel J.

2017-01-01

The learning healthcare system describes a vision of US healthcare that capitalizes on science, information technology, incentives, and care culture to drive improvements in the quality of health care. The inpatient setting, one of the most costly and impactful domains of healthcare, is an ideal setting in which to use data and information technology to foster continuous learning and quality improvement. The rapid digitization of inpatient medicine offers incredible new opportunities to use data from routine care to generate new discovery and thus close the virtuous cycle of learning. We use an object lesson—sepsis care within the 21 hospitals of the Kaiser Permanente Northern California integrated healthcare delivery system—to offer insight into the critical elements necessary for developing a learning hospital system. We then describe how a hospital-wide data-driven approach to inpatient care can facilitate improvements in the quality of hospital care. PMID:27805797

Data that drive: Closing the loop in the learning hospital system.

PubMed

Liu, Vincent X; Morehouse, John W; Baker, Jennifer M; Greene, John D; Kipnis, Patricia; Escobar, Gabriel J

2016-11-01

The learning healthcare system describes a vision of US healthcare that capitalizes on science, information technology, incentives, and care culture to drive improvements in the quality of health care. The inpatient setting, one of the most costly and impactful domains of healthcare, is an ideal setting in which to use data and information technology to foster continuous learning and quality improvement. The rapid digitization of inpatient medicine offers incredible new opportunities to use data from routine care to generate new discovery and thus close the virtuous cycle of learning. We use an object lesson-sepsis care within the 21 hospitals of the Kaiser Permanente Northern California integrated healthcare delivery system-to offer insight into the critical elements necessary for developing a learning hospital system. We then describe how a hospital-wide data-driven approach to inpatient care can facilitate improvements in the quality of hospital care. Journal of Hospital Medicine 2016;11:S11-S17. © 2016 Society of Hospital Medicine. © 2016 Society of Hospital Medicine.

A Field-Based Learning Experience for Introductory Level GIS Students

ERIC Educational Resources Information Center

Carlson, Tom

2007-01-01

This article describes a pedagogic foundation for introducing a field-based geographic information systems (GIS) experience to the GIS curriculum at the university level and uses a dual evaluation methodology to monitor student learning and satisfaction. Students learned the basics of field-based global position systems (GPS) and GIS data…

Promoting Teachers' Learning and Knowledge Building in a Socio-Technical System

ERIC Educational Resources Information Center

Tammets, Kairit; Pata, Kai; Laanpere, Mart

2013-01-01

The study proposes a way in which the learning and knowledge building (LKB) framework, which is consistent with the knowledge conversion phases proposed by Nonaka and Takeuchi, supports teachers' informal and self-directed workplace learning. An LKB framework in a socio-technical system was developed to support professional development in an…

The Influence of Teacher Perceived Administration of Self-Regulated Learning on Students' Motivation and Information-Processing

ERIC Educational Resources Information Center

Rozendaal, J.S.; Minnaert, A.; Boekaerts, M.

2005-01-01

This study investigates the influence of teacher perceived administration of self-regulated learning on students' motivation and information-processing over time. This was done in the context of the Interactive Learning group System (ILS^(R)): a large-scale innovation program in Dutch vocational schools. A total of 185 students were grouped post…

The Potential of Information: Guidance and Counselling Services for Improving the Access of Adults to Learning Opportunities.

ERIC Educational Resources Information Center

Bertelsen, P. H.

Well-developed information and counseling services not only afford immediate assistance to adult learners, but also generate a significant feedback effect on many other components of the overall system and thus make a considerable contribution to the overall development of adult education. Access to learning and progress in learning should be like…

Information Processing Approaches to Cognitive Development

DTIC Science & Technology

1989-08-04

O’Connor (Eds.), Intelligence and learning . New York: Plenum Press. Deloache, J.S. (1988). The development of representation in young chidren . In H.W...Klahr, D., & Carver, S.M. (1988). Cognitive objectives in a LOGO debugging curriculum: Instruction, Learning , and Transfer. Cognitive Psychology, 20...Production system models of learning and development. Cambridge, MA: MIT Press. TWO KINDS OF INFORMATION PROCESSING APPROACHES TO COGNITIVE DEVELOPMENT

Multimedia And Internetworking Architecture Infrastructure On Interactive E-Learning System

NASA Astrophysics Data System (ADS)

Indah, K. A. T.; Sukarata, G.

2018-01-01

Interactive e-learning is a distance learning method that involves information technology, electronic system or computer as one means of learning system used for teaching and learning process that is implemented without having face to face directly between teacher and student. A strong dependence on emerging technologies greatly influences the way in which the architecture is designed to produce a powerful interactive e-learning network. In this paper analyzed an architecture model where learning can be done interactively, involving many participants (N-way synchronized distance learning) using video conferencing technology. Also used broadband internet network as well as multicast techniques as a troubleshooting method for bandwidth usage can be efficient.

Effectiveness of e-learning in hospitals.

PubMed

Chuo, Yinghsiang; Liu, Chuangchun; Tsai, Chunghung

2015-01-01

Because medical personnel share different work shifts (i.e., three work shifts) and do not have a fixed work schedule, implementing timely, flexible, and quick e-learning methods for their continued education is imperative. Hospitals are currently focusing on developing e-learning. This study aims to explore the key factors that influence the effectiveness of e-learning in medical personnel. This study recruited medical personnel as the study participants and collected sample data by using the questionnaire survey method. This study is based on the information systems success model (IS success model), a significant model in MIS research. This study found that the factors (i.e., information quality, service quality, convenience, and learning climate) influence the e-learning satisfaction and in turn influence effectiveness in medical personnel. This study provided recommendations to medical institutions according to the derived findings, which can be used as a reference when establishing e-learning systems in the future.

Applied information system-based in enhancing students' understanding towards higher order thinking (HOTS)

NASA Astrophysics Data System (ADS)

Hua, Ang Kean; Ping, Owi Wei

2017-05-01

The application of information and communications technology (ICT) had become more important in our daily life, especially in educational field. Teachers are encouraged to use information system-based in teaching Mathematical courses. Higher Order Thinking Skills (HOTS) approach is unable to explain using chalk and talk methods. It needs students to analyze, evaluate, and create by their own natural abilities. The aim of this research study was to evaluate the effectiveness of the application information system-based in enhance the students understanding about HOTS question. Mixed-methods or quantitative and qualitative approach was applied in collecting data, which involve only the standard five students and the teachers in Sabak Bernam, Selangor. Pra-postests was held before and after using information system-based in teaching to evaluate the students' understanding. The result from post-test indicates significant improvement which proves that the use of information system based able to enhance students' understanding about HOTS question and solve it. There were several factor influenced the students such as students' attitude, teachers attraction, school facilities, and computer approach. Teachers play an important role in attracting students to learn. Therefore, the school should provide a conducive learning environment and good facilities for students to learn so that they are able to access more information and always exposed to new knowledge. As conclusion, information system-based are able to enhance students understanding the need of HOTS questions and solve it.

Success Factors for e-Learning in a Developing Country: A Case Study of Serbia

ERIC Educational Resources Information Center

Raspopovic, Miroslava; Jankulovic, Aleksandar; Runic, Jovana; Lucic, Vanja

2014-01-01

In this paper, DeLone and McLean's updated information system model was used to evaluate the success of an e-Learning system and its courses in a transitional country like Serbia. In order to adapt this model to an e-Learning system, suitable success metrics were chosen for each of the evaluation stages. Furthermore, the success metrics for…

Information system analysis of an e-learning system used for dental restorations simulation.

PubMed

Bogdan, Crenguţa M; Popovici, Dorin M

2012-09-01

The goal of using virtual and augmented reality technologies in therapeutic interventions simulation, in the fixed prosthodontics (VirDenT) project, is to increase the quality of the educational process in dental faculties, by assisting students in learning how to prepare teeth for all-ceramic restorations. Its main component is an e-learning virtual reality-based software system that will be used for the developing skills in grinding teeth, needed in all-ceramic restorations. The complexity of the domain problem that the software system dealt with made the analysis of the information system supported by VirDenT necessary. The analysis contains the following activities: identification and classification of the system stakeholders, description of the business processes, formulation of the business rules, and modelling of business objects. During this stage, we constructed the context diagram, the business use case diagram, the activity diagrams and the class diagram of the domain model. These models are useful for the further development of the software system that implements the VirDenT information system. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Experiences with establishing and implementing learning management system and computer-based test system in medical college.

PubMed

Park, Joo Hyun; Son, Ji Young; Kim, Sun

2012-09-01

The purpose of this study was to establish an e-learning system to support learning in medical education and identify solutions for improving the system. A learning management system (LMS) and computer-based test (CBT) system were established to support e-learning for medical students. A survey of 219 first- and second-grade medical students was administered. The questionnaire included 9 forced choice questions about the usability of system and 2 open-ended questions about necessary improvements to the system. The LMS consisted of a class management, class evaluation, and class attendance system. CBT consisted of a test management, item bank, and authoring tool system. The results of the survey showed a high level of satisfaction in all system usability items except for stability. Further, the advantages of the e-learning system were ensuring information accessibility, providing constant feedback, and designing an intuitive interface. Necessary improvements to the system were stability, user control, readability, and diverse device usage. Based on the findings, suggestions for developing an e-learning system to improve usability by medical students and support learning effectively are recommended.

Radiologists' preferences for just-in-time learning.

PubMed

Kahn, Charles E; Ehlers, Kevin C; Wood, Beverly P

2006-09-01

Effective learning can occur at the point of care, when opportunities arise to acquire information and apply it to a clinical problem. To assess interest in point-of-care learning, we conducted a survey to explore radiologists' attitudes and preferences regarding the use of just-in-time learning (JITL) in radiology. Following Institutional Review Board approval, we invited 104 current radiology residents and 86 radiologists in practice to participate in a 12-item Internet-based survey to assess their attitudes toward just-in-time learning. Voluntary participation in the survey was solicited by e-mail; respondents completed the survey on a web-based form. Seventy-nine physicians completed the questionnaire, including 47 radiology residents and 32 radiologists in practice; the overall response rate was 42%. Respondents generally expressed a strong interest for JITL: 96% indicated a willingness to try such a system, and 38% indicated that they definitely would use a JITL system. They expressed a preference for learning interventions of 5-10 min in length. Current and recent radiology trainees have expressed a strong interest in just-in-time learning. The information from this survey should be useful in pursuing the design of learning interventions and systems for delivering just-in-time learning to radiologists.

A Web-Based Learning Support System for Inquiry-Based Learning

NASA Astrophysics Data System (ADS)

Kim, Dong Won; Yao, Jingtao

The emergence of the Internet and Web technology makes it possible to implement the ideals of inquiry-based learning, in which students seek truth, information, or knowledge by questioning. Web-based learning support systems can provide a good framework for inquiry-based learning. This article presents a study on a Web-based learning support system called Online Treasure Hunt. The Web-based learning support system mainly consists of a teaching support subsystem, a learning support subsystem, and a treasure hunt game. The teaching support subsystem allows instructors to design their own inquiry-based learning environments. The learning support subsystem supports students' inquiry activities. The treasure hunt game enables students to investigate new knowledge, develop ideas, and review their findings. Online Treasure Hunt complies with a treasure hunt model. The treasure hunt model formalizes a general treasure hunt game to contain the learning strategies of inquiry-based learning. This Web-based learning support system empowered with the online-learning game and founded on the sound learning strategies furnishes students with the interactive and collaborative student-centered learning environment.

Information Retrieval: A Sequential Learning Process.

ERIC Educational Resources Information Center

Bookstein, Abraham

1983-01-01

Presents decision-theoretic models which intrinsically include retrieval of multiple documents whereby system responds to request by presenting documents to patron in sequence, gathering feedback, and using information to modify future retrievals. Document independence model, set retrieval model, sequential retrieval model, learning model,…

Preserved learning of novel information in amnesia: evidence for multiple memory systems.

PubMed

Gordon, B

1988-06-01

Four of five patients with marked global amnesia, and others with new learning impairments, showed normal processing facilitation for novel stimuli (nonwords) and/or for familiar stimuli (words) on a word/nonword (lexical) decision task. The data are interpreted as a reflection of the learning capabilities of in-line neural processing stages with multiple, distinct, informational codes. These in-line learning processes are separate from the recognition/recall memory impaired by amygdalohippocampal/dosomedial thalamic damage, but probably supplement such memory in some tasks in normal individuals. Preserved learning of novel information seems incompatible with explanations of spared learning in amnesia that are based on the episodic/semantic or memory/habit distinctions, but is consistent with the procedural/declarative hypothesis.

Learning Path Recommendation Based on Modified Variable Length Genetic Algorithm

ERIC Educational Resources Information Center

Dwivedi, Pragya; Kant, Vibhor; Bharadwaj, Kamal K.

2018-01-01

With the rapid advancement of information and communication technologies, e-learning has gained a considerable attention in recent years. Many researchers have attempted to develop various e-learning systems with personalized learning mechanisms for assisting learners so that they can learn more efficiently. In this context, curriculum sequencing…

Patient-Centered Precision Health In A Learning Health Care System: Geisinger's Genomic Medicine Experience.

PubMed

Williams, Marc S; Buchanan, Adam H; Davis, F Daniel; Faucett, W Andrew; Hallquist, Miranda L G; Leader, Joseph B; Martin, Christa L; McCormick, Cara Z; Meyer, Michelle N; Murray, Michael F; Rahm, Alanna K; Schwartz, Marci L B; Sturm, Amy C; Wagner, Jennifer K; Williams, Janet L; Willard, Huntington F; Ledbetter, David H

2018-05-01

Health care delivery is increasingly influenced by the emerging concepts of precision health and the learning health care system. Although not synonymous with precision health, genomics is a key enabler of individualized care. Delivering patient-centered, genomics-informed care based on individual-level data in the current national landscape of health care delivery is a daunting challenge. Problems to overcome include data generation, analysis, storage, and transfer; knowledge management and representation for patients and providers at the point of care; process management; and outcomes definition, collection, and analysis. Development, testing, and implementation of a genomics-informed program requires multidisciplinary collaboration and building the concepts of precision health into a multilevel implementation framework. Using the principles of a learning health care system provides a promising solution. This article describes the implementation of population-based genomic medicine in an integrated learning health care system-a working example of a precision health program.

Neurocontrol and fuzzy logic: Connections and designs

NASA Technical Reports Server (NTRS)

Werbos, Paul J.

1991-01-01

Artificial neural networks (ANNs) and fuzzy logic are complementary technologies. ANNs extract information from systems to be learned or controlled, while fuzzy techniques mainly use verbal information from experts. Ideally, both sources of information should be combined. For example, one can learn rules in a hybrid fashion, and then calibrate them for better whole-system performance. ANNs offer universal approximation theorems, pedagogical advantages, very high-throughput hardware, and links to neurophysiology. Neurocontrol - the use of ANNs to directly control motors or actuators, etc. - uses five generalized designs, related to control theory, which can work on fuzzy logic systems as well as ANNs. These designs can copy what experts do instead of what they say, learn to track trajectories, generalize adaptive control, and maximize performance or minimize cost over time, even in noisy environments. Design tradeoffs and future directions are discussed throughout.

Design of Ontology-Based Sharing Mechanism for Web Services Recommendation Learning Environment

NASA Astrophysics Data System (ADS)

Chen, Hong-Ren

The number of digital learning websites is growing as a result of advances in computer technology and new techniques in web page creation. These sites contain a wide variety of information but may be a source of confusion to learners who fail to find the information they are seeking. This has led to the concept of recommendation services to help learners acquire information and learning resources that suit their requirements. Learning content like this cannot be reused by other digital learning websites. A successful recommendation service that satisfies a certain learner must cooperate with many other digital learning objects so that it can achieve the required relevance. The study proposes using the theory of knowledge construction in ontology to make the sharing and reuse of digital learning resources possible. The learning recommendation system is accompanied by the recommendation of appropriate teaching materials to help learners enhance their learning abilities. A variety of diverse learning components scattered across the Internet can be organized through an ontological process so that learners can use information by storing, sharing, and reusing it.

Motivation alters impression formation and related neural systems.

PubMed

Hughes, Brent L; Zaki, Jamil; Ambady, Nalini

2017-01-01

Observers frequently form impressions of other people based on complex or conflicting information. Rather than being objective, these impressions are often biased by observers' motives. For instance, observers often downplay negative information they learn about ingroup members. Here, we characterize the neural systems associated with biased impression formation. Participants learned positive and negative information about ingroup and outgroup social targets. Following this information, participants worsened their impressions of outgroup, but not ingroup, targets. This tendency was associated with a failure to engage neural structures including lateral prefrontal cortex, dorsal anterior cingulate cortex, temporoparietal junction, Insula and Precuneus when processing negative information about ingroup (but not outgroup) targets. To the extent that participants engaged these regions while learning negative information about ingroup members, they exhibited less ingroup bias in their impressions. These data are consistent with a model of 'effortless bias', under which perceivers fail to process goal-inconsistent information in order to maintain desired conclusions. © The Author (2016). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Educational Knowledge Generation from Administrative Data

ERIC Educational Resources Information Center

Arevalillo-Herraez, Miguel; Moreno-Clari, Paloma; Cerveron-Lleo, Vicente

2011-01-01

Most universities use Information Systems (IS) to perform their daily administrative activities (student enrollment, data files, accountancy, etc.), and an integrated Learning Management System (LMS) to support teaching and learning. However, although a lot of effort has been put into deploying these computerized systems, the data that they…

Systems autonomy

NASA Technical Reports Server (NTRS)

Lum, Henry, Jr.

1988-01-01

Information on systems autonomy is given in viewgraph form. Information is given on space systems integration, intelligent autonomous systems, automated systems for in-flight mission operations, the Systems Autonomy Demonstration Project on the Space Station Thermal Control System, the architecture of an autonomous intelligent system, artificial intelligence research issues, machine learning, and real-time image processing.

Summary of vulnerability related technologies based on machine learning

NASA Astrophysics Data System (ADS)

Zhao, Lei; Chen, Zhihao; Jia, Qiong

2018-04-01

As the scale of information system increases by an order of magnitude, the complexity of system software is getting higher. The vulnerability interaction from design, development and deployment to implementation stages greatly increases the risk of the entire information system being attacked successfully. Considering the limitations and lags of the existing mainstream security vulnerability detection techniques, this paper summarizes the development and current status of related technologies based on the machine learning methods applied to deal with massive and irregular data, and handling security vulnerabilities.

Agricultural Education from a Knowledge Systems Perspective: From Teaching to Facilitating Joint Inquiry and Learning.

ERIC Educational Resources Information Center

Engel, Paul G. H.; van den Bor, Wout

1995-01-01

Application of a knowledge and information systems perspective shows how agricultural innovation can be enhanced through networking. In the Netherlands, a number of alternative systems of inquiry and learning are infused with this perspective: participatory technology development, participatory rural appraisal, soft systems methodology, and rapid…

An integrated system for interactive continuous learning of categorical knowledge

NASA Astrophysics Data System (ADS)

Skočaj, Danijel; Vrečko, Alen; Mahnič, Marko; Janíček, Miroslav; Kruijff, Geert-Jan M.; Hanheide, Marc; Hawes, Nick; Wyatt, Jeremy L.; Keller, Thomas; Zhou, Kai; Zillich, Michael; Kristan, Matej

2016-09-01

This article presents an integrated robot system capable of interactive learning in dialogue with a human. Such a system needs to have several competencies and must be able to process different types of representations. In this article, we describe a collection of mechanisms that enable integration of heterogeneous competencies in a principled way. Central to our design is the creation of beliefs from visual and linguistic information, and the use of these beliefs for planning system behaviour to satisfy internal drives. The system is able to detect gaps in its knowledge and to plan and execute actions that provide information needed to fill these gaps. We propose a hierarchy of mechanisms which are capable of engaging in different kinds of learning interactions, e.g. those initiated by a tutor or by the system itself. We present the theory these mechanisms are build upon and an instantiation of this theory in the form of an integrated robot system. We demonstrate the operation of the system in the case of learning conceptual models of objects and their visual properties.

Learning and the Instructional System

ERIC Educational Resources Information Center

Kozma, Robert B.

1977-01-01

Faculty members can use information about six components of the learning situation to increase student learning. The nature, function, and interrelationships of the following elements are described: instructor, content, medium, student, evaluation, environment, and implementation. (Editor/LBH)

Advancing a Complex Systems Approach to Personalized Learning Communities: Bandwidth, Sightlines, and Teacher Generativity

ERIC Educational Resources Information Center

Hamilton, Eric

2015-01-01

Educational technologies have advanced one of the most important visions of educational reformers, to customize formal and informal learning to individuals. The application of a complex systems framework to the design of learning ecologies suggests that each of a series of ten desirable and malleable features stimulates or propels the other ten,…

Assessing the Attention Levels of Students by Using a Novel Attention Aware System Based on Brainwave Signals

ERIC Educational Resources Information Center

Chen, Chih-Ming; Wang, Jung-Ying; Yu, Chih-Ming

2017-01-01

Rapid progress in information and communication technologies (ICTs) has fueled the popularity of e-learning. However, an e-learning environment is limited in that online instructors cannot monitor immediately whether students remain focus during online autonomous learning. Therefore, this study tries to develop a novel attention aware system (AAS)…

Does (Non-)Meaningful Sensori-Motor Engagement Promote Learning with Animated Physical Systems?

ERIC Educational Resources Information Center

Pouw, Wim T. J. L.; Eielts, Charly; Gog, Tamara; Zwaan, Rolf A.; Paas, Fred

2016-01-01

Previous research indicates that sensori-motor experience with physical systems can have a positive effect on learning. However, it is not clear whether this effect is caused by mere bodily engagement or the intrinsically meaningful information that such interaction affords in performing the learning task. We investigated (N = 74), through the use…

Changing the "Landscape" of Learning: The Future of Blended Learning Provision in Newly Merged South African Higher Education Institutions

ERIC Educational Resources Information Center

Paterson, Andrew

2005-01-01

This article analyses the implications of recent institutional mergers for information systems development and in particular for the provision of blended and collaborative learning in the South African higher education system. The merged institutions are only beginning to address these challenges. The article therefore draws attention to current…

An Autonomous Mobile Agent-Based Distributed Learning Architecture: A Proposal and Analytical Analysis

ERIC Educational Resources Information Center

Ahmed, Iftikhar; Sadeq, Muhammad Jafar

2006-01-01

Current distance learning systems are increasingly packing highly data-intensive contents on servers, resulting in the congestion of network and server resources at peak service times. A distributed learning system based on faded information field (FIF) architecture that employs mobile agents (MAs) has been proposed and simulated in this work. The…

Using a Problem-Based Learning Approach to Teach an Intelligent Systems Course

ERIC Educational Resources Information Center

Cheong, France

2008-01-01

While delivering the Intelligent Systems course, an elective course in the Master of Business Information Technology program at RMIT University, it was felt that there was a learning issue as students' learning seemed to be superficial. This perception was based on the questions students asked in class and the mechanical attitude they adopted…

Intelligent transportation systems for work zones : deployment benefits and lessons learned

DOT National Transportation Integrated Search

2000-12-01

This paper presents what has been learned in four principal areas of arterial management: 1) adaptive control strategies; 2) advanced traveler information systems; 3) automated enforcement; and 4) integration. The levels of deployment, benefits, depl...

A Meta-Analysis of the Relationship between E-Learning and Students' Academic Achievement in Higher Education

ERIC Educational Resources Information Center

Mothibi, Gloria

2015-01-01

E-learning is substantially becoming a popular effective learning approach within greater academic settings due to high use of web systems in learning. E-learning involves utilization of information and communication technology (ICT) to improve and help teaching and learning. The aim of this study was to estimate the relationship between…

Observer-based distributed adaptive iterative learning control for linear multi-agent systems

NASA Astrophysics Data System (ADS)

Li, Jinsha; Liu, Sanyang; Li, Junmin

2017-10-01

This paper investigates the consensus problem for linear multi-agent systems from the viewpoint of two-dimensional systems when the state information of each agent is not available. Observer-based fully distributed adaptive iterative learning protocol is designed in this paper. A local observer is designed for each agent and it is shown that without using any global information about the communication graph, all agents achieve consensus perfectly for all undirected connected communication graph when the number of iterations tends to infinity. The Lyapunov-like energy function is employed to facilitate the learning protocol design and property analysis. Finally, simulation example is given to illustrate the theoretical analysis.

Enhancing Learning Outcomes through Experiential Learning: Using Open-Source Systems to Teach Enterprise Systems and Business Process Management

ERIC Educational Resources Information Center

Jewer, Jennifer; Evermann, Joerg

2015-01-01

Enterprise systems and business process management are the two key information technologies to integrate the functions of a modern business into a coherent and efficient system. While the benefits of these systems are easy to describe, students, especially those without business experience, have difficulty appreciating how these systems are used…

Supporting online learning with games

NASA Astrophysics Data System (ADS)

Yao, JingTao; Kim, DongWon; Herbert, Joseph P.

2007-04-01

This paper presents a study on Web-based learning support systems that is enhanced with two major subsystems: a Web-based learning game and a learning-oriented Web search. The Internet and theWeb may be considered as a first resource for students seeking for information and help. However, much of the information available online is not related to the course contents or is wrong in the worse case. The search subsystem aims to provide students with precise, relative and adaptable documents about certain courses or classes. Therefore, students do not have to spend time to verify the relationship of documents to the class. The learning game subsystem stimulates students to study, enables students to review their studies and to perform self-evaluation through a Web-based learning game such as a treasure hunt game. During the challenge and entertaining learning and evaluation process, it is hoped that students will eventually understand and master the course concepts easily. The goal of developing such a system is to provide students with an efficient and effective learning environment.

Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning.

PubMed

Chalmers, Eric; Contreras, Edgar Bermudez; Robertson, Brandon; Luczak, Artur; Gruber, Aaron

2017-04-17

The reinforcement learning (RL) paradigm allows agents to solve tasks through trial-and-error learning. To be capable of efficient, long-term learning, RL agents should be able to apply knowledge gained in the past to new tasks they may encounter in the future. The ability to predict actions' consequences may facilitate such knowledge transfer. We consider here domains where an RL agent has access to two kinds of information: agent-centric information with constant semantics across tasks, and environment-centric information, which is necessary to solve the task, but with semantics that differ between tasks. For example, in robot navigation, environment-centric information may include the robot's geographic location, while agent-centric information may include sensor readings of various nearby obstacles. We propose that these situations provide an opportunity for a very natural style of knowledge transfer, in which the agent learns to predict actions' environmental consequences using agent-centric information. These predictions contain important information about the affordances and dangers present in a novel environment, and can effectively transfer knowledge from agent-centric to environment-centric learning systems. Using several example problems including spatial navigation and network routing, we show that our knowledge transfer approach can allow faster and lower cost learning than existing alternatives.

The Role of Celestial Compass Information in Cataglyphis Ants during Learning Walks and for Neuroplasticity in the Central Complex and Mushroom Bodies

PubMed Central

Grob, Robin; Fleischmann, Pauline N.; Grübel, Kornelia; Wehner, Rüdiger; Rössler, Wolfgang

2017-01-01

Central place foragers are faced with the challenge to learn the position of their nest entrance in its surroundings, in order to find their way back home every time they go out to search for food. To acquire navigational information at the beginning of their foraging career, Cataglyphis noda performs learning walks during the transition from interior worker to forager. These small loops around the nest entrance are repeatedly interrupted by strikingly accurate back turns during which the ants stop and precisely gaze back to the nest entrance—presumably to learn the landmark panorama of the nest surroundings. However, as at this point the complete navigational toolkit is not yet available, the ants are in need of a reference system for the compass component of the path integrator to align their nest entrance-directed gazes. In order to find this directional reference system, we systematically manipulated the skylight information received by ants during learning walks in their natural habitat, as it has been previously suggested that the celestial compass, as part of the path integrator, might provide such a reference system. High-speed video analyses of distinct learning walk elements revealed that even exclusion from the skylight polarization pattern, UV-light spectrum and the position of the sun did not alter the accuracy of the look back to the nest behavior. We therefore conclude that C. noda uses a different reference system to initially align their gaze directions. However, a comparison of neuroanatomical changes in the central complex and the mushroom bodies before and after learning walks revealed that exposure to UV light together with a naturally changing polarization pattern was essential to induce neuroplasticity in these high-order sensory integration centers of the ant brain. This suggests a crucial role of celestial information, in particular a changing polarization pattern, in initially calibrating the celestial compass system. PMID:29184487

The Role of Celestial Compass Information in Cataglyphis Ants during Learning Walks and for Neuroplasticity in the Central Complex and Mushroom Bodies.

PubMed

Grob, Robin; Fleischmann, Pauline N; Grübel, Kornelia; Wehner, Rüdiger; Rössler, Wolfgang

2017-01-01

Central place foragers are faced with the challenge to learn the position of their nest entrance in its surroundings, in order to find their way back home every time they go out to search for food. To acquire navigational information at the beginning of their foraging career, Cataglyphis noda performs learning walks during the transition from interior worker to forager. These small loops around the nest entrance are repeatedly interrupted by strikingly accurate back turns during which the ants stop and precisely gaze back to the nest entrance-presumably to learn the landmark panorama of the nest surroundings. However, as at this point the complete navigational toolkit is not yet available, the ants are in need of a reference system for the compass component of the path integrator to align their nest entrance-directed gazes. In order to find this directional reference system, we systematically manipulated the skylight information received by ants during learning walks in their natural habitat, as it has been previously suggested that the celestial compass, as part of the path integrator, might provide such a reference system. High-speed video analyses of distinct learning walk elements revealed that even exclusion from the skylight polarization pattern, UV-light spectrum and the position of the sun did not alter the accuracy of the look back to the nest behavior. We therefore conclude that C. noda uses a different reference system to initially align their gaze directions. However, a comparison of neuroanatomical changes in the central complex and the mushroom bodies before and after learning walks revealed that exposure to UV light together with a naturally changing polarization pattern was essential to induce neuroplasticity in these high-order sensory integration centers of the ant brain. This suggests a crucial role of celestial information, in particular a changing polarization pattern, in initially calibrating the celestial compass system.

Accelerating Student Learning of Technology Terms: "The Crossword Puzzle Exercise"

ERIC Educational Resources Information Center

Whisenand, Thomas G.; Dunphy, Steven M.

2010-01-01

The authors suggest using an alternative teaching methodology to impart knowledge regarding information systems phraseology and vocabulary. Specifically, a series of crossword puzzles or scrabbles are used to present information system (IS) terminology to students in an introductory business information systems course. The puzzle terms and answers…

Analytic Hierarchy Process for Personalising Environmental Information

ERIC Educational Resources Information Center

Kabassi, Katerina

2014-01-01

This paper presents how a Geographical Information System (GIS) can be incorporated in an intelligent learning software system for environmental matters. The system is called ALGIS and incorporates the GIS in order to present effectively information about the physical and anthropogenic environment of Greece in a more interactive way. The system…

The Learning Healthcare System and Cardiovascular Care: A Scientific Statement From the American Heart Association.

PubMed

Maddox, Thomas M; Albert, Nancy M; Borden, William B; Curtis, Lesley H; Ferguson, T Bruce; Kao, David P; Marcus, Gregory M; Peterson, Eric D; Redberg, Rita; Rumsfeld, John S; Shah, Nilay D; Tcheng, James E

2017-04-04

The learning healthcare system uses health information technology and the health data infrastructure to apply scientific evidence at the point of clinical care while simultaneously collecting insights from that care to promote innovation in optimal healthcare delivery and to fuel new scientific discovery. To achieve these goals, the learning healthcare system requires systematic redesign of the current healthcare system, focusing on 4 major domains: science and informatics, patient-clinician partnerships, incentives, and development of a continuous learning culture. This scientific statement provides an overview of how these learning healthcare system domains can be realized in cardiovascular disease care. Current cardiovascular disease care innovations in informatics, data uses, patient engagement, continuous learning culture, and incentives are profiled. In addition, recommendations for next steps for the development of a learning healthcare system in cardiovascular care are presented. © 2017 American Heart Association, Inc.

E-Learning System Overview Based on Semantic Web

ERIC Educational Resources Information Center

Alsultanny, Yas A.

2006-01-01

The challenge of the semantic web is the provision of distributed information with well-defined meaning, understandable for different parties. e-Learning is efficient task relevant and just-in-time learning grown from the learning requirements of the new dynamically changing, distributed business world. In this paper we design an e-Learning system…

Learning, memory, and the role of neural network architecture.

PubMed

Hermundstad, Ann M; Brown, Kevin S; Bassett, Danielle S; Carlson, Jean M

2011-06-01

The performance of information processing systems, from artificial neural networks to natural neuronal ensembles, depends heavily on the underlying system architecture. In this study, we compare the performance of parallel and layered network architectures during sequential tasks that require both acquisition and retention of information, thereby identifying tradeoffs between learning and memory processes. During the task of supervised, sequential function approximation, networks produce and adapt representations of external information. Performance is evaluated by statistically analyzing the error in these representations while varying the initial network state, the structure of the external information, and the time given to learn the information. We link performance to complexity in network architecture by characterizing local error landscape curvature. We find that variations in error landscape structure give rise to tradeoffs in performance; these include the ability of the network to maximize accuracy versus minimize inaccuracy and produce specific versus generalizable representations of information. Parallel networks generate smooth error landscapes with deep, narrow minima, enabling them to find highly specific representations given sufficient time. While accurate, however, these representations are difficult to generalize. In contrast, layered networks generate rough error landscapes with a variety of local minima, allowing them to quickly find coarse representations. Although less accurate, these representations are easily adaptable. The presence of measurable performance tradeoffs in both layered and parallel networks has implications for understanding the behavior of a wide variety of natural and artificial learning systems.

Learning Organization Models and Their Application to the U.S. Army

DTIC Science & Technology

2016-06-01

activities from informal to formal. At the informal end resides unanticipated experiences which result in learning either consciously or unconsciously, new...A systems Approach to Quantum Improvement and Global Success. New York: McGraw-Hill. Marsick, V. J., & Watkins, K. E. (1999). Facilitating

The Role of Memory Consolidation in Generalisation of New Linguistic Information

ERIC Educational Resources Information Center

Tamminen, Jakke; Davis, Matthew H.; Merkx, Marjolein; Rastle, Kathleen

2012-01-01

Accounts of memory that postulate complementary learning systems (CLS) have become increasingly influential in the field of language learning. These accounts predict that generalisation of newly learnt linguistic information to untrained contexts requires offline memory consolidation. Such generalisation should not be observed immediately after…

Kees: a Practical Ict Solution for Rural Areas

NASA Astrophysics Data System (ADS)

Dai, Xiaoye; Tabirca, Sabin; Lenihan, Eamon

This paper introduces a practical e-learning system, identified as Knowledge Exchange E-learning System (abbr. KEES), for knowledge distribution in rural areas. Particularly, this paper is about providing a virtual teaching and learning environment for small holders in agriculture in those rural areas. E-learning is increasingly influencing the agricultural education (information and knowledge learning) in all forms and the current e-learning in agricultural education appears in informal and formal methods in many developed countries and some developing areas such as Asian Pacific regions. KEES is a solution to provide education services including other services of information distribution and knowledge sharing to local farmers, local institutes or local collection of farmers. The design of KEES is made to meet the needs of knowledge capacity building, experience sharing, skill upgrading, and information exchanging in agriculture for different conditions in rural areas. The system allows the online lecture/training materials to be distributed simultaneously with all multimedia resources through different file formats across different platforms. The teaching/training content can be contextless and broad, allowing for greater participation by more small holders, commercial farmers, extension workers, agriculturists, educators, and other agriculture-related experts. The relative inconsistency in content gives farmers more localised and useful knowledge. The framework of KEES has been designed to be a three-tier architecture logic workflow, which can configure the progressive approach for KEES to pass on and respond to different requests/communications between the client side and the server.

Model-based learning and the contribution of the orbitofrontal cortex to the model-free world.

PubMed

McDannald, Michael A; Takahashi, Yuji K; Lopatina, Nina; Pietras, Brad W; Jones, Josh L; Schoenbaum, Geoffrey

2012-04-01

Learning is proposed to occur when there is a discrepancy between reward prediction and reward receipt. At least two separate systems are thought to exist: one in which predictions are proposed to be based on model-free or cached values; and another in which predictions are model-based. A basic neural circuit for model-free reinforcement learning has already been described. In the model-free circuit the ventral striatum (VS) is thought to supply a common-currency reward prediction to midbrain dopamine neurons that compute prediction errors and drive learning. In a model-based system, predictions can include more information about an expected reward, such as its sensory attributes or current, unique value. This detailed prediction allows for both behavioral flexibility and learning driven by changes in sensory features of rewards alone. Recent evidence from animal learning and human imaging suggests that, in addition to model-free information, the VS also signals model-based information. Further, there is evidence that the orbitofrontal cortex (OFC) signals model-based information. Here we review these data and suggest that the OFC provides model-based information to this traditional model-free circuitry and offer possibilities as to how this interaction might occur. © 2012 The Authors. European Journal of Neuroscience © 2012 Federation of European Neuroscience Societies and Blackwell Publishing Ltd.

Neural priming in human frontal cortex: multiple forms of learning reduce demands on the prefrontal executive system.

PubMed

Race, Elizabeth A; Shanker, Shanti; Wagner, Anthony D

2009-09-01

Past experience is hypothesized to reduce computational demands in PFC by providing bottom-up predictive information that informs subsequent stimulus-action mapping. The present fMRI study measured cortical activity reductions ("neural priming"/"repetition suppression") during repeated stimulus classification to investigate the mechanisms through which learning from the past decreases demands on the prefrontal executive system. Manipulation of learning at three levels of representation-stimulus, decision, and response-revealed dissociable neural priming effects in distinct frontotemporal regions, supporting a multiprocess model of neural priming. Critically, three distinct patterns of neural priming were identified in lateral frontal cortex, indicating that frontal computational demands are reduced by three forms of learning: (a) cortical tuning of stimulus-specific representations, (b) retrieval of learned stimulus-decision mappings, and (c) retrieval of learned stimulus-response mappings. The topographic distribution of these neural priming effects suggests a rostrocaudal organization of executive function in lateral frontal cortex.

Privacy Act System of Records: Freedom of Information Act Request and Appeal File, EPA-9

EPA Pesticide Factsheets

Learn more about the Freedom of Information Act Request and Appeal File System, including who is covered in the system, the purpose of data collection, routine uses for the system's records, and other security procedures.

Reference frames in allocentric representations are invariant across static and active encoding

PubMed Central

Chan, Edgar; Baumann, Oliver; Bellgrove, Mark A.; Mattingley, Jason B.

2013-01-01

An influential model of spatial memory—the so-called reference systems account—proposes that relationships between objects are biased by salient axes (“frames of reference”) provided by environmental cues, such as the geometry of a room. In this study, we sought to examine the extent to which a salient environmental feature influences the formation of spatial memories when learning occurs via a single, static viewpoint and via active navigation, where information has to be integrated across multiple viewpoints. In our study, participants learned the spatial layout of an object array that was arranged with respect to a prominent environmental feature within a virtual arena. Location memory was tested using judgments of relative direction. Experiment 1A employed a design similar to previous studies whereby learning of object-location information occurred from a single, static viewpoint. Consistent with previous studies, spatial judgments were significantly more accurate when made from an orientation that was aligned, as opposed to misaligned, with the salient environmental feature. In Experiment 1B, a fresh group of participants learned the same object-location information through active exploration, which required integration of spatial information over time from a ground-level perspective. As in Experiment 1A, object-location information was organized around the salient environmental cue. Taken together, the findings suggest that the learning condition (static vs. active) does not affect the reference system employed to encode object-location information. Spatial reference systems appear to be a ubiquitous property of spatial representations, and might serve to reduce the cognitive demands of spatial processing. PMID:24009595

Privacy Impact Assessment for the Contract Payment System

EPA Pesticide Factsheets

The Contract Payment System collects contact information and other Personally Identifiable Information (PII). Learn how this data is collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention.

Learning on the Trail: A Content Analysis of a University Arboretum's Exemplary Interpretive Science Signage System

ERIC Educational Resources Information Center

Wandersee, James H.; Clary, Renee M.

2007-01-01

This is an in-depth content analysis of an exemplary outdoor science signage system. The authors offer useful criteria for assessing the quality of the "opportunity to learn" within science signage systems in informal educational sites. This research may be helpful in the design or improvement of trailside interpretive signage systems.

Novel Web-based Education Platforms for Information Communication utilizing Gamification, Virtual and Immersive Reality

NASA Astrophysics Data System (ADS)

Demir, I.

2015-12-01

Recent developments in internet technologies make it possible to manage and visualize large data on the web. Novel visualization techniques and interactive user interfaces allow users to create realistic environments, and interact with data to gain insight from simulations and environmental observations. This presentation showcase information communication interfaces, games, and virtual and immersive reality applications for supporting teaching and learning of concepts in atmospheric and hydrological sciences. The information communication platforms utilizes latest web technologies and allow accessing and visualizing large scale data on the web. The simulation system is a web-based 3D interactive learning environment for teaching hydrological and atmospheric processes and concepts. The simulation systems provides a visually striking platform with realistic terrain and weather information, and water simulation. The web-based simulation system provides an environment for students to learn about the earth science processes, and effects of development and human activity on the terrain. Users can access the system in three visualization modes including virtual reality, augmented reality, and immersive reality using heads-up display. The system provides various scenarios customized to fit the age and education level of various users.

An Analysis of Online Students' Behaviors on Course Sites and the Effect on Learning Performance: A Case Study of Four LIS Online Classes

ERIC Educational Resources Information Center

Zhang, Xiangmin

2016-01-01

This research investigated the relationship between online students' behaviors in a learning management system and their learning performance, as measured by their final grades. Four online information technology classes in a major U.S. library and information science program were studied. The course sites' log data, as well as the students' final…

Using Eye Tracking to Investigate First Year Students' Digital Proficiency and Their Use of a Learning Management System in an Open Distance Environment

ERIC Educational Resources Information Center

Mabila, Jabulisiwe; Gelderblom, Helene; Ssemugabi, Samuel

2014-01-01

The internet gives individuals access to learning through online technologies. The prolific use of Learning Management Systems (LMSs) in higher education institutions makes Information and Communication Technology (ICT) skills or e-skills very important. ICT skill levels have been positively related to students' effectiveness and efficiency in…

Open Learning Systems in Further Education. Some Aspects of Resource Management. Coombe Lodge Working Paper. Information Bank Number 1611.

ERIC Educational Resources Information Center

Birch, D. W.; Latcham, J.

Open learning systems require the development of learning materials. Potential economies of scale and quality control advantages argue in favor of the central development of materials packages. Instructors would be free to concentrate upon the provision of tutorial and counseling support and laboratory and workshop hands-on experience. Some method…

2000 Worldwide Joint Lessons Learned Conference. Forging a Future Joint Lessons Learned System. (Joint Center for Lessons Learned Special Bulletin. Volume 3, Special Issue 1, January 2001)

DTIC Science & Technology

2001-01-01

Management System (JTIMS) followed, and generated spirited discussion regarding the respective roles of JTIMS and the JLLP. The discussion concluded...waiting for the Director, Joint Staff�s signature and should be in official distribution by January 2001. An update on the Joint Training Information

Web-Based Reading Annotation System with an Attention-Based Self-Regulated Learning Mechanism for Promoting Reading Performance

ERIC Educational Resources Information Center

Chen, Chih-Ming; Huang, Sheng-Hui

2014-01-01

Due to the rapid development of information technology, web-based learning has become a dominant trend. That is, learners can often learn anytime and anywhere without being restricted by time and space. Autonomic learning primarily occurs in web-based learning environments, and self-regulated learning (SRL) is key to autonomic learning…

Scientific Inquiry, Digital Literacy, and Mobile Computing in Informal Learning Environments

ERIC Educational Resources Information Center

Marty, Paul F.; Alemanne, Nicole D.; Mendenhall, Anne; Maurya, Manisha; Southerland, Sherry A.; Sampson, Victor; Douglas, Ian; Kazmer, Michelle M.; Clark, Amanda; Schellinger, Jennifer

2013-01-01

Understanding the connections between scientific inquiry and digital literacy in informal learning environments is essential to furthering students' critical thinking and technology skills. The Habitat Tracker project combines a standards-based curriculum focused on the nature of science with an integrated system of online and mobile computing…

Business Process Elicitation, Modeling, and Reengineering: Teaching and Learning with Simulated Environments

ERIC Educational Resources Information Center

Jeyaraj, Anand

2010-01-01

The design of enterprise information systems requires students to master technical skills for elicitation, modeling, and reengineering business processes as well as soft skills for information gathering and communication. These tacit skills and behaviors cannot be effectively taught students but rather experienced and learned by students. This…

Integrating an Information Literacy Quiz into the Learning Management System

ERIC Educational Resources Information Center

Lowe, M. Sara; Booth, Char; Tagge, Natalie; Stone, Sean

2014-01-01

The Claremont Colleges Library Instruction Services Department developed a quiz that could be integrated into the consortial learning management software to accompany a local online, open-source information literacy tutorial. The quiz is integrated into individual course pages, allowing students to receive a grade for completion and improving…

Combining Instructionist and Constructionist Learning in a Virtual Biotech Lab.

ERIC Educational Resources Information Center

Dawabi, Peter; Wessner, Martin

The background of this paper is an internal research project at the German National Research Center for Information Technology, Integrated Publication and Information Systems Institute, (GMD-IPSI) dealing with software engineering, computer-supported cooperative learning (CSCL) and practical biotech knowledge. The project goal is to develop a…

Efficiently Ranking Hyphotheses in Machine Learning

NASA Technical Reports Server (NTRS)

Chien, Steve

1997-01-01

This paper considers the problem of learning the ranking of a set of alternatives based upon incomplete information (e.g. a limited number of observations). At each decision cycle, the system can output a complete ordering on the hypotheses or decide to gather additional information (e.g. observation) at some cost.

Expanding Learning and Social Interaction through Intelligent Systems Design: Implementing a Reputation and Recommender System for the Claremont Conversation Online

ERIC Educational Resources Information Center

Thoms, Brian

2009-01-01

In this dissertation I examine the design, construction and implementation of an online blog ratings and user recommender system for the Claremont Conversation Online (CCO). In line with constructivist learning models and practical information systems (IS) design, I implemented a blog ratings system (a system that can be extended to allow for…

Machine Learning.

ERIC Educational Resources Information Center

Kirrane, Diane E.

1990-01-01

As scientists seek to develop machines that can "learn," that is, solve problems by imitating the human brain, a gold mine of information on the processes of human learning is being discovered, expert systems are being improved, and human-machine interactions are being enhanced. (SK)

Four Single-Page Learning Models.

ERIC Educational Resources Information Center

Hlynka, Denis

1979-01-01

Identifies four models of single-page learning systems that can streamline lengthy, complex prose: Information Mapping, Focal Press Model, Behavioral Objectives Model, and School Mathematics Model. (CMV)

A presentation system for just-in-time learning in radiology.

PubMed

Kahn, Charles E; Santos, Amadeu; Thao, Cheng; Rock, Jayson J; Nagy, Paul G; Ehlers, Kevin C

2007-03-01

There is growing interest in bringing medical educational materials to the point of care. We sought to develop a system for just-in-time learning in radiology. A database of 34 learning modules was derived from previously published journal articles. Learning objectives were specified for each module, and multiple-choice test items were created. A web-based system-called TEMPO-was developed to allow radiologists to select and view the learning modules. Web services were used to exchange clinical context information between TEMPO and the simulated radiology work station. Preliminary evaluation was conducted using the System Usability Scale (SUS) questionnaire. TEMPO identified learning modules that were relevant to the age, sex, imaging modality, and body part or organ system of the patient being viewed by the radiologist on the simulated clinical work station. Users expressed a high degree of satisfaction with the system's design and user interface. TEMPO enables just-in-time learning in radiology, and can be extended to create a fully functional learning management system for point-of-care learning in radiology.

A review on machine learning principles for multi-view biological data integration.

PubMed

Li, Yifeng; Wu, Fang-Xiang; Ngom, Alioune

2018-03-01

Driven by high-throughput sequencing techniques, modern genomic and clinical studies are in a strong need of integrative machine learning models for better use of vast volumes of heterogeneous information in the deep understanding of biological systems and the development of predictive models. How data from multiple sources (called multi-view data) are incorporated in a learning system is a key step for successful analysis. In this article, we provide a comprehensive review on omics and clinical data integration techniques, from a machine learning perspective, for various analyses such as prediction, clustering, dimension reduction and association. We shall show that Bayesian models are able to use prior information and model measurements with various distributions; tree-based methods can either build a tree with all features or collectively make a final decision based on trees learned from each view; kernel methods fuse the similarity matrices learned from individual views together for a final similarity matrix or learning model; network-based fusion methods are capable of inferring direct and indirect associations in a heterogeneous network; matrix factorization models have potential to learn interactions among features from different views; and a range of deep neural networks can be integrated in multi-modal learning for capturing the complex mechanism of biological systems.

Learning With E-books and Project-based Strategy in a Community Health Nursing Course.

PubMed

Sung, Tien-Wen; Wu, Ting-Ting

2018-03-01

With advances in information technology, "information-assisted instruction" has been gradually introduced to nursing education curricula. Specifically, the integration of an e-book system can effectively enhance nursing students' attention and interest. Most studies on nursing education that incorporated e-books have focused on the advantages of convenience and assistance provided by e-books. Few studies have addressed community health nursing and off-campus practice activities in relation to suitable teaching strategies for learning activities. This study involved designing and planning a multimedia e-book learning system with a project-based learning activity that conforms to the curriculum and practical requirements of a community health nursing course. The purpose was to reduce the gap between theory and practice and realize an effective learning process. For learning evaluations, a final examination analysis with an independent sample t test; a scoring scheme with intrateam, interteam, and expert ratings; and Bloom's taxonomy-based analysis were conducted. The evaluation results indicated that the comprehension and learning abilities of the experimental group using the e-book system with a mobile device were effectively improved. In addition, the exploratory process involved in project-based learning can develop multiple cognitive skills and problem-solving ability, thereby realizing effective learning.

Beyond Effectiveness: A Pragmatic Evaluation Framework for Learning and Continuous Quality Improvement of e-Learning Interventions in Healthcare.

PubMed

Dafalla, Tarig Dafalla Mohamed; Kushniruk, Andre W; Borycki, Elizabeth M

2015-01-01

A pragmatic evaluation framework for evaluating the usability and usefulness of an e-learning intervention for a patient clinical information scheduling system is presented in this paper. The framework was conceptualized based on two different but related concepts (usability and usefulness) and selection of appropriate and valid methods of data collection and analysis that included: (1) Low-Cost Rapid Usability Engineering (LCRUE), (2) Cognitive Task Analysis (CTA), (3) Heuristic Evaluation (HE) criteria for web-based learning, and (4) Software Usability Measurement Inventory (SUMI). The results of the analysis showed some areas where usability that were related to General Interface Usability (GIU), instructional design and content was problematic; some of which might account for the poorly rated aspects of usability when subjectively measured. This paper shows that using a pragmatic framework can be a useful way, not only for measuring the usability and usefulness, but also for providing a practical objective evidences for learning and continuous quality improvement of e-learning systems. The findings should be of interest to educators, developers, designers, researchers, and usability practitioners involved in the development of e-learning systems in healthcare. This framework could be an appropriate method for assessing the usability, usefulness and safety of health information systems both in the laboratory and in the clinical context.

Cognitive Tools for Assessment and Learning in a High Information Flow Environment.

ERIC Educational Resources Information Center

Lajoie, Susanne P.; Azevedo, Roger; Fleiszer, David M.

1998-01-01

Describes the development of a simulation-based intelligent tutoring system for nurses working in a surgical intensive care unit. Highlights include situative learning theories and models of instruction, modeling expertise, complex decision making, linking theories of learning to the design of computer-based learning environments, cognitive task…

Sexual Learning, Sexual Experience, and Healthy Adolescent Sex

ERIC Educational Resources Information Center

Fortenberry, J. Dennis

2014-01-01

This chapter is organized around the question "How do adolescents learn to have healthy sex?" The chapter assumes that sexual learning derives from a broad range of both informal and formal sources that contribute to learning within the context of neurocognitive brain systems that modulate sexual motivations and self-regulation. The…

Caka E-Learning Model

ERIC Educational Resources Information Center

Gorsev, Gonca; Turkmen, Ugur; Askin, Cihat

2017-01-01

In today's world, in order to obtain the information in education, various approaches, methods and devices have been developed. Like many developing countries, e-learning and distance learning (internet based learning) are used today in many areas of education in Turkey. This research aims to contribute to education systems and develop a…

Mobile Learning: Readiness and Perceptions of Teachers of Open Universities of Commonwealth Asia

ERIC Educational Resources Information Center

Miglani, Anshu; Awadhiya, Ashish Kumar

2017-01-01

Integration of "Mobile Learning" (m-learning) in Open and Distance Learning (ODL) systems can play a crucial role in reducing the "Digital Divide" and strengthening "Democratization of Education" by providing quality educational opportunities and access to information quickly at affordable cost in Commonwealth Asian…

Map for Decision Making in Operating Distance Learning System--Research Results.

ERIC Educational Resources Information Center

Offir, Baruch

2000-01-01

Examines decision-making aspects of the introduction of distance learning into university instruction and learning based on experiences in Israel. Discusses the introduction of information technology into the classroom; examines teacher/student interactions; and suggests a model for introducing distance learning that focuses on the role of the…

A Model for Instructors' Adoption of Learning Management Systems: Empirical Validation in Higher Education Context

ERIC Educational Resources Information Center

Findik Coskuncay, Duygu; Ozkan, Sevgi

2013-01-01

Through the rapid expansion of information technologies, Learning Management Systems have become one of the most important innovations for delivering education. However, successful implementation and management of these systems are primarily based on the instructors' adoption. In this context, this study aims to understand behavioral intentions…

Sleep, Off-Line Processing, and Vocal Learning

ERIC Educational Resources Information Center

Margoliash, Daniel; Schmidt, Marc F.

2010-01-01

The study of song learning and the neural song system has provided an important comparative model system for the study of speech and language acquisition. We describe some recent advances in the bird song system, focusing on the role of off-line processing including sleep in processing sensory information and in guiding developmental song…

An Approach for Externalization of Expert Tacit Knowledge Using a Query Management System in an E-Learning Environment

ERIC Educational Resources Information Center

Khan, Abdul Azeez; Khader, Sheik Abdul

2014-01-01

E-learning or electronic learning platforms facilitate delivery of the knowledge spectrum to the learning community through information and communication technologies. The transfer of knowledge takes place from experts to learners, and externalization of the knowledge transfer is significant. In the e-learning environment, the learners seek…

Facing Learning Disabilities in the Adult Years. Understanding Dyslexia, ADHD, Assessment, Intervention, and Research.

ERIC Educational Resources Information Center

Shapiro, Joan; Rich, Rebecca

This text provides information on learning disabilities in adults and offers practical ways to compensate. Chapters address: (1) definitions of learning disability; (2) etiology of learning disabilities; (3) our cognitive or thinking systems; (4) different assessment settings and some of the tests used to diagnose a learning disability; (5)…

Integrating Concept Mapping into Information Systems Education for Meaningful Learning and Assessment

ERIC Educational Resources Information Center

Wei, Wei; Yue, Kwok-Bun

2017-01-01

Concept map (CM) is a theoretically sound yet easy to learn tool and can be effectively used to represent knowledge. Even though many disciplines have adopted CM as a teaching and learning tool to improve learning effectiveness, its application in IS curriculum is sparse. Meaningful learning happens when one iteratively integrates new concepts and…

Privacy Impact Assessment for the Integrated Contracts Management System

EPA Pesticide Factsheets

The Integrated Contracts Management System collects contact information and other Personally Identifiable Information (PII). Learn how this data will be collected in the system, how it will be used, access to the data, and the purpose of data collection.

Privacy Impact Assessment for the Peer Reviewer Panelist Information System

EPA Pesticide Factsheets

This system collects contact and employment information. Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies for this data.

Surprised at All the Entropy: Hippocampal, Caudate and Midbrain Contributions to Learning from Prediction Errors

PubMed Central

Schiffer, Anne-Marike; Ahlheim, Christiane; Wurm, Moritz F.; Schubotz, Ricarda I.

2012-01-01

Influential concepts in neuroscientific research cast the brain a predictive machine that revises its predictions when they are violated by sensory input. This relates to the predictive coding account of perception, but also to learning. Learning from prediction errors has been suggested for take place in the hippocampal memory system as well as in the basal ganglia. The present fMRI study used an action-observation paradigm to investigate the contributions of the hippocampus, caudate nucleus and midbrain dopaminergic system to different types of learning: learning in the absence of prediction errors, learning from prediction errors, and responding to the accumulation of prediction errors in unpredictable stimulus configurations. We conducted analyses of the regions of interests' BOLD response towards these different types of learning, implementing a bootstrapping procedure to correct for false positives. We found both, caudate nucleus and the hippocampus to be activated by perceptual prediction errors. The hippocampal responses seemed to relate to the associative mismatch between a stored representation and current sensory input. Moreover, its response was significantly influenced by the average information, or Shannon entropy of the stimulus material. In accordance with earlier results, the habenula was activated by perceptual prediction errors. Lastly, we found that the substantia nigra was activated by the novelty of sensory input. In sum, we established that the midbrain dopaminergic system, the hippocampus, and the caudate nucleus were to different degrees significantly involved in the three different types of learning: acquisition of new information, learning from prediction errors and responding to unpredictable stimulus developments. We relate learning from perceptual prediction errors to the concept of predictive coding and related information theoretic accounts. PMID:22570715

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

Jamieson, Kevin; Davis, IV, Warren L.

Active learning methods automatically adapt data collection by selecting the most informative samples in order to accelerate machine learning. Because of this, real-world testing and comparing active learning algorithms requires collecting new datasets (adaptively), rather than simply applying algorithms to benchmark datasets, as is the norm in (passive) machine learning research. To facilitate the development, testing and deployment of active learning for real applications, we have built an open-source software system for large-scale active learning research and experimentation. The system, called NEXT, provides a unique platform for realworld, reproducible active learning research. This paper details the challenges of building themore » system and demonstrates its capabilities with several experiments. The results show how experimentation can help expose strengths and weaknesses of active learning algorithms, in sometimes unexpected and enlightening ways.« less

Selecting practice management information systems.

PubMed

Worley, R; Ciotti, V

1997-01-01

Despite enormous advances in information systems, the process by which most medical practices select them has remained virtually unchanged for decades: the request for proposal (RFP). Unfortunately, vendors have learned ways to minimize the value of RFP checklists to where purchasers now learn little about the system functionality. The authors describe a selection methodology that replaces the RFP with scored demos, reviews of vendor user manuals and mathematically structured reference checking. In a recent selection process at a major medical center, these techniques yielded greater user buy-in and favorable contract terms as well.

Remote Sensing Systems Optimization for Geobase Enhancement

DTIC Science & Technology

2003-03-01

through feedback from base users, as well as the researcher’s observations. 3.1 GeoBase and GIS Learning GeoBase and Geographic Information System ...Abstract The U.S. Air Force is in the process of implementing GeoBase, a geographic information system (GIS), throughout its worldwide installations...Geographic Information System (GIS). A GIS is a computer database that contains geo-spatial information . It is the principal tool used to input, view

Autonomous learning based on cost assumptions: theoretical studies and experiments in robot control.

PubMed

Ribeiro, C H; Hemerly, E M

2000-02-01

Autonomous learning techniques are based on experience acquisition. In most realistic applications, experience is time-consuming: it implies sensor reading, actuator control and algorithmic update, constrained by the learning system dynamics. The information crudeness upon which classical learning algorithms operate make such problems too difficult and unrealistic. Nonetheless, additional information for facilitating the learning process ideally should be embedded in such a way that the structural, well-studied characteristics of these fundamental algorithms are maintained. We investigate in this article a more general formulation of the Q-learning method that allows for a spreading of information derived from single updates towards a neighbourhood of the instantly visited state and converges to optimality. We show how this new formulation can be used as a mechanism to safely embed prior knowledge about the structure of the state space, and demonstrate it in a modified implementation of a reinforcement learning algorithm in a real robot navigation task.

What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated.

PubMed

Kumaran, Dharshan; Hassabis, Demis; McClelland, James L

2016-07-01

We update complementary learning systems (CLS) theory, which holds that intelligent agents must possess two learning systems, instantiated in mammalians in neocortex and hippocampus. The first gradually acquires structured knowledge representations while the second quickly learns the specifics of individual experiences. We broaden the role of replay of hippocampal memories in the theory, noting that replay allows goal-dependent weighting of experience statistics. We also address recent challenges to the theory and extend it by showing that recurrent activation of hippocampal traces can support some forms of generalization and that neocortical learning can be rapid for information that is consistent with known structure. Finally, we note the relevance of the theory to the design of artificial intelligent agents, highlighting connections between neuroscience and machine learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

Post-weaning social and cognitive performance of piglets raised pre-weaning either in a complex multi-suckling group housing system or in a conventional system with a crated sow.

PubMed

van Nieuwamerongen, S E; Mendl, M; Held, S; Soede, N M; Bolhuis, J E

2017-09-01

We studied the social and cognitive performance of piglets raised pre-weaning either in a conventional system with a sow in a farrowing crate (FC) or in a multi-suckling (MS) system in which 5 sows and their piglets could interact in a more physically enriched and spacious environment. After weaning at 4 weeks of age, 8 groups of 4 litter-mates per pre-weaning housing treatment were studied under equal and enriched post-weaning housing conditions. From each pen, one pair consisting of a dominant and a submissive pig was selected, based on a feed competition test (FCT) 2 weeks post-weaning. This pair was used in an informed forager test (IFT) which measured aspects of spatial learning and foraging strategies in a competitive context. During individual training, submissive (informed) pigs learned to remember a bait location in a testing arena with 8 buckets (the same bucket was baited in a search visit and a subsequent relocation visit), whereas dominant (non-informed) pigs always found the bait in a random bucket (search visits only). After learning their task, the informed pigs' individual search visit was followed by a pairwise relocation visit in which they were accompanied by the non-informed pig. Effects of pre-weaning housing treatment were not distinctly present regarding the occurrence of aggression in the FCT and the learning performance during individual training in the IFT. During paired visits, informed and non-informed pigs changed their behaviour in response to being tested pairwise instead of individually, but MS and FC pigs showed few distinct behavioural differences.

Deep generative learning for automated EHR diagnosis of traditional Chinese medicine.

PubMed

Liang, Zhaohui; Liu, Jun; Ou, Aihua; Zhang, Honglai; Li, Ziping; Huang, Jimmy Xiangji

2018-05-04

Computer-aided medical decision-making (CAMDM) is the method to utilize massive EMR data as both empirical and evidence support for the decision procedure of healthcare activities. Well-developed information infrastructure, such as hospital information systems and disease surveillance systems, provides abundant data for CAMDM. However, the complexity of EMR data with abstract medical knowledge makes the conventional model incompetent for the analysis. Thus a deep belief networks (DBN) based model is proposed to simulate the information analysis and decision-making procedure in medical practice. The purpose of this paper is to evaluate a deep learning architecture as an effective solution for CAMDM. A two-step model is applied in our study. At the first step, an optimized seven-layer deep belief network (DBN) is applied as an unsupervised learning algorithm to perform model training to acquire feature representation. Then a support vector machine model is adopted to DBN at the second step of the supervised learning. There are two data sets used in the experiments. One is a plain text data set indexed by medical experts. The other is a structured dataset on primary hypertension. The data are randomly divided to generate the training set for the unsupervised learning and the testing set for the supervised learning. The model performance is evaluated by the statistics of mean and variance, the average precision and coverage on the data sets. Two conventional shallow models (support vector machine / SVM and decision tree / DT) are applied as the comparisons to show the superiority of our proposed approach. The deep learning (DBN + SVM) model outperforms simple SVM and DT on two data sets in terms of all the evaluation measures, which confirms our motivation that the deep model is good at capturing the key features with less dependence when the index is built up by manpower. Our study shows the two-step deep learning model achieves high performance for medical information retrieval over the conventional shallow models. It is able to capture the features of both plain text and the highly-structured database of EMR data. The performance of the deep model is superior to the conventional shallow learning models such as SVM and DT. It is an appropriate knowledge-learning model for information retrieval of EMR system. Therefore, deep learning provides a good solution to improve the performance of CAMDM systems. Copyright © 2018. Published by Elsevier B.V.

Medical students' online learning technology needs.

PubMed

Han, Heeyoung; Nelson, Erica; Wetter, Nathan

2014-02-01

This study investigated medical students' online learning technology needs at a medical school. The study aimed to provide evidence-based guidance for technology selection and online learning design in medical education. The authors developed a 120-item survey in collaboration with the New Technology in Medical Education (NTIME) committee at the Southern Illinois University School of Medicine (SIUSOM). Overall, 123 of 290 medical students (42%) at the medical school participated in the survey. The survey focused on five major areas: students' hardware and software use; perception of educational technology (ET) in general; online behaviours; perception of ET use at the school; and demographic information. Students perceived multimedia tools, scheduling tools, communication tools, collaborative authoring tools, learning management systems and electronic health records useful educational technologies for their learning. They did not consider social networking tools useful for their learning, despite their frequent use. Third-year students were less satisfied with current technology integration in the curriculum, information sharing and collaborative learning than other years. Students in clerkships perceived mobile devices as useful for their learning. Students using a mobile device (i.e. a smartphone) go online, text message, visit social networking sites and are online during classes more frequently than non-users. Medical students' ET needs differ between preclinical and clinical years. Technology supporting ubiquitous mobile learning and health information technology (HIT) systems at hospitals and out-patient clinics can be integrated into clerkship curricula. © 2014 John Wiley & Sons Ltd.

Scientific and Technical Information and Transfer for Education (STITE). Research Report No. 1.

ERIC Educational Resources Information Center

Zunde, Pranas

STITE (Scientific and Technical Information Transfer for Education) is basically a system to interface between science information and the science learner. As such STITE acts as a link between STIC (Science and Technology Information Centers) and LIS (Learning Information Systems). After an introduction to the goals and objectives of the ongoing…

75 FR 15692 - Proposed Information Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2010-03-30

..., reporting burden (time and financial resources) is minimized, collection instruments are clearly understood... Performance Reporting System, also referred to as the Learn and Serve Systems and Information Exchange (LASSIE... information is necessary for the proper performance of the functions of the Corporation, including whether the...

Privacy Impact Assessment for the Freedom of Information Act Online

EPA Pesticide Factsheets

This system collects the name and contact information for Freedom of Information Act requestors. Learn how the data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies.

Aircraft Environmental Systems Mechanic. Part 2.

ERIC Educational Resources Information Center

Chanute AFB Technical Training Center, IL.

This packet contains learning modules designed for a self-paced course in aircraft environmental systems mechanics that was developed for the Air Force. Learning modules consist of some or all of the following materials: objectives, instructions, equipment, procedures, information sheets, handouts, workbooks, self-tests with answers, review…

Student Assessment of an Electronic Learning System.

ERIC Educational Resources Information Center

Fissel, Mark Charles

1993-01-01

The Video Information System (VIS) permits the fiber-optic distribution of teaching media from a central resource facility to the classroom. Undergraduate students taking a Western civilization course that used VIS, reported that VIS helped their notetaking, made the textbook more understandable, and encouraged learning. (KS)

Development of an Audit Classification Index (ACI) for Federal E-Learning Systems Security Vulnerabilities

ERIC Educational Resources Information Center

Johnson, Gerald D.

2012-01-01

As U.S federal government agencies have increased the use of the Internet to utilize technologies such as e-learning, U.S. federal government information systems have become more exposed to security vulnerabilities that may contribute to system attacks and system exploitation. U.S. federal government agencies are required to come up with their own…

A Comparison of Learning Management Systems in a School District: Searching for the Ideal Personalized Integrated Educational System (PIES)

ERIC Educational Resources Information Center

Yildirim, Zahide; Reigeluth, Charles M.; Kwon, Seolim; Kageto, Yuichi; Shao, Zihang

2014-01-01

This study explored the use of several learning management systems (LMS), their benefits, and their limitations in relation to the desired characteristics of an ideal Personalized Integrated Educational System (PIES) for the information age. A qualitative research design was used. The participants of the study were teachers, administrators, and…

A Machine Learning System for Analyzing Human Tactics in a Game

NASA Astrophysics Data System (ADS)

Ito, Hirotaka; Tanaka, Toshimitsu; Sugie, Noboru

In order to realize advanced man-machine interfaces, it is desired to develop a system that can infer the mental state of human users and then return appropriate responses. As the first step toward the above goal, we developed a system capable of inferring human tactics in a simple game played between the system and a human. We present a machine learning system that plays a color expectation game. The system infers the tactics of the opponent, and then decides the action based on the result. We employed a modified version of classifier system like XCS in order to design the system. In addition, three methods are proposed in order to accelerate the learning rate. They are a masking method, an iterative method, and tactics templates. The results of computer experiments confirmed that the proposed methods effectively accelerate the machine learning. The masking method and the iterative method are effective to a simple strategy that considers only a part of past information. However, study speed of these methods is not enough for the tactics that refers to a lot of past information. For the case, the tactics template was able to settle the study rapidly when the tactics is identified.

Learning fuzzy information in a hybrid connectionist, symbolic model

NASA Technical Reports Server (NTRS)

Romaniuk, Steve G.; Hall, Lawrence O.

1993-01-01

An instance-based learning system is presented. SC-net is a fuzzy hybrid connectionist, symbolic learning system. It remembers some examples and makes groups of examples into exemplars. All real-valued attributes are represented as fuzzy sets. The network representation and learning method is described. To illustrate this approach to learning in fuzzy domains, an example of segmenting magnetic resonance images of the brain is discussed. Clearly, the boundaries between human tissues are ill-defined or fuzzy. Example fuzzy rules for recognition are generated. Segmentations are presented that provide results that radiologists find useful.

Promoting Higher Order Thinking Skills via IPTEACES e-Learning Framework in the Learning of Information Systems Units

ERIC Educational Resources Information Center

Isaias, Pedro; Issa, Tomayess; Pena, Nuno

2014-01-01

When developing and working with various types of devices from a supercomputer to an iPod Mini, it is essential to consider the issues of Human Computer Interaction (HCI) and Usability. Developers and designers must incorporate HCI, Usability and user satisfaction in their design plans to ensure that systems are easy to learn, effective,…

Accounting for Academic Staff Resources for the Tutorial Support of Open Learning. Coombe Lodge Working Paper. Information Bank Number 1605.

ERIC Educational Resources Information Center

Birch, Derek W.; Latcham, Jack

The problems of resource allocation and management within open learning systems in colleges of further and higher education in Britain are discussed in this paper, with particular focus on the deployment of academic staff. First, the components of open learning systems are outlined; e.g., providing materials for students' private study, grading…

Learning in the Age of Global Information Technology: Development of a Generic Architecture for an Advanced Learning Management System

ERIC Educational Resources Information Center

Watson, Jason; Ahmed, Pervaiz K.

2004-01-01

This paper briefly introduces the trends towards e-learning and amplifies some examples of state of the art systems, pointing out that all of these are, to date, limited by adaptability and shareability of content and that it is necessary for industry to develop and use an inter-operability standard. Uses SCORM specifications to specify the…

Scientific and Technical Information Transfer for Education (STITE). Research Report No. 2.

ERIC Educational Resources Information Center

Zunde, Pranas

STITE (Scientific and Technical Information Transfer for Education) is basically a system to interface between science information and the science learner. As such STITE acts as a link between STIC (Science and Technology Infromation Centers) and LIS (Learning Information Systems). In this second progress report the internal knowledge of STITE is…

The Role of the IT Department in Information System and Organizational Redesign.

PubMed

Stub Petersen, Lone

2015-01-01

This paper is based on a qualitative study of IT organization and clinical practice over a period of 3 years supported by additional data during the last 2 years. This paper argues that redesign is central to understanding and developing both healthcare information systems and organizations. The importance of the IT organization is also stressed throughout this paper as a pertinent partner and power when considering organizational change and learning in hospitals as it can serve both as a barrier and a catalyst of change and flexibility in the organization through information systems management. Therefore it is important to consider and secure appropriate forms for redesign and learning in cooperation with the IT department.

Medical informatics education needs information system practicums in health care settings--experiences and lessons learned from 32 practicums at four universities in two countries.

PubMed

Haux, R; Ammenwerth, E; Häber, A; Hübner-Bloder, G; Knaup-Gregori, P; Lechleitner, G; Leiner, F; Weber, R; Winter, A; Wolff, A C

2006-01-01

To report about the themes and about experiences with practicums in the management of information systems in health care settings (health information management) for medical informatics students. We first summarize the topics of the health information management practicums/projects that the authors organized between 1990 and 2003 for the medical informatics programs at Heidelberg/Heilbronn, Germany, UMIT, Austria, as well as for the informatics program at the University of Leipzig, Germany. Experiences and lessons learned, obtained from the faculty that organized the practicums in the past 14 years, are reported. Thirty (of 32) health information management practicums focused on the analysis of health information systems. These took place inside university medical centers. Although the practicums were time-intensive and required intensively tutoring students with regard to health information management and project management, feedback from the students and graduates was mainly positive. It is clearly recommended that students specializing in medical informatics need to be confronted with real-world problems of health information systems during their studies.

Learn about the Hazardous Waste Electronic Manifest System (e-Manifest)

EPA Pesticide Factsheets

This webpage provides information on EPA's work toward developing a hazardous waste electronic manifest system. Information on the Hazardous Waste Electronic Manifest Establishment Act, progress on the project and frequent questions are available.

Organizational Learning and Power Dynamics: A Study in a Brazilian University

ERIC Educational Resources Information Center

Santos, Jane Lucia Silva; Steil, Andrea Valéria

2015-01-01

Purpose: This paper aims to describe and analyze organizational learning processes and power dynamics during the adoption and use of an information system (IS) at a Brazilian public organization. Design/methodology/approach: A case study was chosen as the research method. Data were gathered from documents and interviews with key informants.…

Intelligent Tutoring System Using Decision Based Learning for Thermodynamic Phase Diagrams

ERIC Educational Resources Information Center

Hagge, Mathew; Amin-Naseri, Mostafa; Jackman, John; Guo, Enruo; Gilbert, Stephen B.; Starns, Gloria; Faidley, Leann

2017-01-01

Students learn when they connect new information to existing understanding or when they modify existing understanding to accept new information. Most current teaching methods focus on trying to get students to solve problems in a manner identical to that of an expert. This study investigates the effectiveness of assessing student understanding…

Appraisal of the Availability and Utilization of Information and Communication Technology in the Higher Education System

ERIC Educational Resources Information Center

Ogbuozobe, J. E.; Okeke, Emeka Paul

2014-01-01

The availability and functionality of Information and Communication Technology (ICT) provides a productive academic platform for both students and staff of institutions of higher learning. ICT use for educational purposes has enhanced teaching and learning through its dynamic, interactive and engaging academic course content. In application, it…

From E-Campus to E-Learning: An Overview of ICT Applications in Chinese Higher Education

ERIC Educational Resources Information Center

Zhao, Guodong; Jiang, Zhongjiao

2010-01-01

Centring on the application of information and communication technology (ICT) in Chinese higher education, this paper discusses the development of e-campus in Chinese universities from three different aspects: campus network infrastructure and various management information systems; three modes of e-learning and its application in higher education…

Student-Teachers' Use of "Google Earth" in Problem-Based Geology Learning

ERIC Educational Resources Information Center

Ratinen, Ilkka; Keinonen, Tuula

2011-01-01

Geographical Information Systems (GIS) are adequate for analyzing complex scientific and spatial phenomena in geography education. "Google Earth" is a geographic information tool for GIS-based learning. It allows students to engage in the lesson, explore the Earth, explain what they identify and evaluate the implications of what they are…

Automated Categorization Scheme for Digital Libraries in Distance Learning: A Pattern Recognition Approach

ERIC Educational Resources Information Center

Gunal, Serkan

2008-01-01

Digital libraries play a crucial role in distance learning. Nowadays, they are one of the fundamental information sources for the students enrolled in this learning system. These libraries contain huge amount of instructional data (text, audio and video) offered by the distance learning program. Organization of the digital libraries is…

Using Taxonomic Indexing Trees to Efficiently Retrieve SCORM-Compliant Documents in e-Learning Grids

ERIC Educational Resources Information Center

Shih, Wen-Chung; Tseng, Shian-Shyong; Yang, Chao-Tung

2008-01-01

With the flourishing development of e-Learning, more and more SCORM-compliant teaching materials are developed by institutes and individuals in different sites. In addition, the e-Learning grid is emerging as an infrastructure to enhance traditional e-Learning systems. Therefore, information retrieval schemes supporting SCORM-compliant documents…

The Forms and Functions of Teaching and Learning Innovations on Blackboard: Substantial or Superficial?

ERIC Educational Resources Information Center

Nkonki, Vuyisile; Ntlabathi, Siyanda

2016-01-01

This study is an Information and Computer Technology evaluation of the Blackboard Learning Management System into teaching and learning at an institution of higher education in South Africa. In view of the institution's objective of developing a context-driven, transformative, and innovative teaching and learning practices involving the…

How Can Organisations Learn: An Information Systems Development Perspective

ERIC Educational Resources Information Center

Baxter, Gavin J.; Connolly, Thomas M.; Stansfield, Mark

2009-01-01

This article sets out to argue that organisations can learn but that they cannot do so in their own right without infrastructural support. This article further examines the notion that individuals in organisations also require the cognitive participation of the organisation itself as a learning entity to learn. The close reliance and affiliation…

Social Software for Life-Long Learning

ERIC Educational Resources Information Center

Klamma, Ralf; Chatti, Mohamed Amine; Duval, Erik; Hummel, Hans; Hvannberg, Ebba Thora; Kravcik, Milos; Law, Effie; Naeve, Ambjorn; Scott, Peter

2007-01-01

Life-long learning is a key issue for our knowledge society. With social software systems new heterogeneous kinds of technology enhanced informal learning are now available to the life-long learner. Learners outside of learning institutions now have access to powerful social communities of experts and peers who are together forging a new web 2.0.…

Support patient search on pathology reports with interactive online learning based data extraction.

PubMed

Zheng, Shuai; Lu, James J; Appin, Christina; Brat, Daniel; Wang, Fusheng

2015-01-01

Structural reporting enables semantic understanding and prompt retrieval of clinical findings about patients. While synoptic pathology reporting provides templates for data entries, information in pathology reports remains primarily in narrative free text form. Extracting data of interest from narrative pathology reports could significantly improve the representation of the information and enable complex structured queries. However, manual extraction is tedious and error-prone, and automated tools are often constructed with a fixed training dataset and not easily adaptable. Our goal is to extract data from pathology reports to support advanced patient search with a highly adaptable semi-automated data extraction system, which can adjust and self-improve by learning from a user's interaction with minimal human effort. We have developed an online machine learning based information extraction system called IDEAL-X. With its graphical user interface, the system's data extraction engine automatically annotates values for users to review upon loading each report text. The system analyzes users' corrections regarding these annotations with online machine learning, and incrementally enhances and refines the learning model as reports are processed. The system also takes advantage of customized controlled vocabularies, which can be adaptively refined during the online learning process to further assist the data extraction. As the accuracy of automatic annotation improves overtime, the effort of human annotation is gradually reduced. After all reports are processed, a built-in query engine can be applied to conveniently define queries based on extracted structured data. We have evaluated the system with a dataset of anatomic pathology reports from 50 patients. Extracted data elements include demographical data, diagnosis, genetic marker, and procedure. The system achieves F-1 scores of around 95% for the majority of tests. Extracting data from pathology reports could enable more accurate knowledge to support biomedical research and clinical diagnosis. IDEAL-X provides a bridge that takes advantage of online machine learning based data extraction and the knowledge from human's feedback. By combining iterative online learning and adaptive controlled vocabularies, IDEAL-X can deliver highly adaptive and accurate data extraction to support patient search.

Organised Governmental Learning: Vocational Education and Training Practices between Peer Review and Peer Learning

ERIC Educational Resources Information Center

Speer, Sandra

2011-01-01

Peer learning has already existed for a long time, as an informal as well as a formal practice between people from the same professional area. However, peer learning systems on the macro level are relatively newer concepts. Policy learning can be fostered by various types of organised activities, ranging from peer review frameworks, which often…

Utilizing E-Learning Systems in the Libyan Universities: Case Study; Tripoli University, Faculty of Engineering

ERIC Educational Resources Information Center

Almansuri, Aisha Ammar; Elmansuri, Rowad Adel

2015-01-01

E-learning in teaching and learning considered as the easy way to use information and communication technology by using of the internet. With the support of E-learning higher education can be delivered anywhere and at any time. Although E-Learning is very importance in Libyan higher education, It's implementation is facing many challenges in the…

What Role Does Knowledge Quality Play in Online Students' Satisfaction, Learning and Loyalty? An Empirical Investigation in an eLearning Context

ERIC Educational Resources Information Center

Waheed, M.; Kaur, K.; Kumar, S.

2016-01-01

Quality knowledge has an impact on online students learning outcomes and loyalty. A framework that delineates the perceived eLearning knowledge quality (KQ) and its relationship with learning outcomes and loyalty is currently absent. Grounded in the KQ and information system success framework--this study presents the indicators of perceived…

Making Information Systems Less Scrugged: Reflecting on the Processes of Change in Teaching and Learning

ERIC Educational Resources Information Center

Houghton, Luke; Ruth, Alison

2010-01-01

Deep and shallow learner approaches are useful for different purposes. Shallow learning can be good where fact memorization is appropriate, learning how to swim or play the guitar for example. Deep learning is much more appropriate when the learning material present involves going beyond simple facts and into what lies below the surface. When…

What have we learned about intelligent transportation systems? Chapter 9, What have we learned about ITS? Final comments

DOT National Transportation Integrated Search

2005-09-30

This document presents the findings of the national evaluation of the 511 telephone traveler information system Model Deployment in Arizona. The United States Department of Transportation (U.S. DOT) National 511 Model Deployment supported a wid...

Semantic Services in e-Learning: An Argumentation Case Study

ERIC Educational Resources Information Center

Moreale, Emanuela; Vargas-Vera, Maria

2004-01-01

This paper outlines an e-Learning services architecture offering semantic-based services to students and tutors, in particular ways to browse and obtain information through web services. Services could include registration, authentication, tutoring systems, smart question answering for students' queries, automated marking systems and a student…

Aircraft Environmental Systems Mechanic. Part 1.

ERIC Educational Resources Information Center

Chanute AFB Technical Training Center, IL.

This packet contains learning modules for a self-paced course in aircraft environmental systems mechanics that was developed for the Air Force. Each learning module consists of some or all of the following: objectives, instructions, equipment, procedures, information sheets, handouts, self-tests with answers, review section, tests, and response…

From Requirements to Code: Issues and Learning in IS Students' Systems Development Projects

ERIC Educational Resources Information Center

Scott, Elsje

2008-01-01

The Computing Curricula (2005) place Information Systems (IS) at the intersection of exact sciences (e.g. General Systems Theory), technology (e.g. Computer Science), and behavioral sciences (e.g. Sociology). This presents particular challenges for teaching and learning, as future IS professionals need to be equipped with a wide range of…

A Reflective Conversation with Joe Renzulli and Sally Reis: About the Renzulli Learning System

ERIC Educational Resources Information Center

Renzulli, Joe; Reis, Sally; Shaughnessy, Michael F

2014-01-01

In this reflective conversation, Dr. Joe Renzulli and Dr. Sally Reis respond to questions about the newly developed Renzulli Learning System. They discuss the system in light of the Schoolwide Enrichment Model (SEM) and provide information regarding its use with curriculum compacting and Renzulli's "Three Ring Conceptualization of…

The Role of Involvement in Learning Management System Success

ERIC Educational Resources Information Center

Klobas, Jane E.; McGill, Tanya J.

2010-01-01

Learning management systems (LMS) have been adopted by the majority of higher education institutions and research that explores the factors that influence the success of LMS is needed. This paper investigates the roles of student and instructor involvement in LMS success, using the DeLone and McLean (2003) model of information systems success as a…

Implementation and Performance Evaluation of Parameter Improvement Mechanisms for Intelligent E-Learning Systems

ERIC Educational Resources Information Center

Huang, Chenn-Jung; Chu, San-Shine; Guan, Chih-Tai

2007-01-01

In recent years, designing useful learning diagnosis systems has become a hot research topic in the literature. In order to help teachers easily analyze students' profiles in intelligent tutoring system, it is essential that students' portfolios can be transformed into some useful information to reflect the extent of students' participation in the…

Predicting the Adoption of E-Learning Management System: A Case of Selected Private Universities in Nigeria

ERIC Educational Resources Information Center

Nicholas-Omoregbe, Olanike Sharon; Azeta, Ambrose Agbon; Chiazor, Idowu Aigbovo; Omoregbe, Nicholas

2017-01-01

Despite the availability of studies on e-learning management system (eLMS) using information system models, its theoretical foundations have not yet captured social constructs that are peculiar to developing countries including Nigeria. This study was undertaken with the aim of investigating factors that could influence eLMS adoption in higher…

Standards Advisor-Advanced Information Technology for Advanced Information Delivery

NASA Technical Reports Server (NTRS)

Hawker, J. Scott

2003-01-01

Developers of space systems must deal with an increasing amount of information in responding to extensive requirements and standards from numerous sources. Accessing these requirements and standards, understanding them, comparing them, negotiating them and responding to them is often an overwhelming task. There are resources to aid the space systems developer, such as lessons learned and best practices. Again, though, accessing, understanding, and using this information is often more difficult than helpful. This results in space systems that: 1. Do not meet all their requirements. 2. Do not incorporate prior engineering experience. 3. Cost more to develop. 4. Take longer to develop. The NASA Technical Standards Program (NTSP) web site at http://standards.nasa.gov has made significant improvements in making standards, lessons learned, and related material available to space systems developers agency-wide. The Standards Advisor was conceived to take the next steps beyond the current product, continuing to apply evolving information technology that continues to improve information delivery to space systems developers. This report describes the features of the Standards Advisor and suggests a technical approach to its development.

The value of prior knowledge in machine learning of complex network systems.

PubMed

Ferranti, Dana; Krane, David; Craft, David

2017-11-15

Our overall goal is to develop machine-learning approaches based on genomics and other relevant accessible information for use in predicting how a patient will respond to a given proposed drug or treatment. Given the complexity of this problem, we begin by developing, testing and analyzing learning methods using data from simulated systems, which allows us access to a known ground truth. We examine the benefits of using prior system knowledge and investigate how learning accuracy depends on various system parameters as well as the amount of training data available. The simulations are based on Boolean networks-directed graphs with 0/1 node states and logical node update rules-which are the simplest computational systems that can mimic the dynamic behavior of cellular systems. Boolean networks can be generated and simulated at scale, have complex yet cyclical dynamics and as such provide a useful framework for developing machine-learning algorithms for modular and hierarchical networks such as biological systems in general and cancer in particular. We demonstrate that utilizing prior knowledge (in the form of network connectivity information), without detailed state equations, greatly increases the power of machine-learning algorithms to predict network steady-state node values ('phenotypes') and perturbation responses ('drug effects'). Links to codes and datasets here: https://gray.mgh.harvard.edu/people-directory/71-david-craft-phd. dcraft@broadinstitute.org. Supplementary data are available at Bioinformatics online. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Public Health Platforms: An Emerging Informatics Approach to Health Professional Learning and Development

PubMed Central

Gray, Kathleen

2016-01-01

Health informatics has a major role to play in optimising the management and use of data, information and knowledge in health systems. As health systems undergo digital transformation, it is important to consider informatics approaches not only to curriculum content but also to the design of learning environments and learning activities for health professional learning and development. An example of such an informatics approach is the use of large-scale, integrated public health platforms on the Internet as part of health professional learning and development. This article describes selected examples of such platforms, with a focus on how they may influence the direction of health professional learning and development. Significance for public health The landscape of healthcare systems, public health systems, health research systems and professional education systems is fragmented, with many gaps and silos. More sophistication in the management of health data, information, and knowledge, based on public health informatics expertise, is needed to tackle key issues of prevention, promotion and policy-making. Platform technologies represent an emerging large-scale, highly integrated informatics approach to public health, combining the technologies of Internet, the web, the cloud, social technologies, remote sensing and/or mobile apps into an online infrastructure that can allow more synergies in work within and across these systems. Health professional curricula need updating so that the health workforce has a deep and critical understanding of the way that platform technologies are becoming the foundation of the health sector. PMID:27190977

Privacy Impact Assessment for the Case Management System for Suspension and Debarment

EPA Pesticide Factsheets

This system collects contact information and other Personally Identifiable Information (PII). Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and the record retention policies.

Privacy Impact Assessment for the Hotline Allegation System for the Office of Inspector General

EPA Pesticide Factsheets

This system collects contact information and other Personally Identifiable Information (PII). Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies.

Virtualization Technologies in Information Systems Education

ERIC Educational Resources Information Center

Lunsford, Dale L.

2009-01-01

Information systems educators must balance the need to protect the stability, availability, and security of computer laboratories with the learning objectives of various courses. In advanced courses where students need to install, configure, and otherwise manipulate application and operating system settings, this is especially problematic as these…

Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on E-Learning (Lisbon, Portugal, July 20-22, 2017)

ERIC Educational Resources Information Center

Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed.; Kommers, Piet, Ed.; Isaias, Pedro, Ed.

2017-01-01

These proceedings contain the papers of the International Conference e-Learning 2017, which was organised by the International Association for Development of the Information Society, 20-22 July, 2017. This conference is part of the Multi Conference on Computer Science and Information Systems 2017, 20-23 July, which had a total of 652 submissions.…

Supervised Learning for Dynamical System Learning.

PubMed

Hefny, Ahmed; Downey, Carlton; Gordon, Geoffrey J

2015-01-01

Recently there has been substantial interest in spectral methods for learning dynamical systems. These methods are popular since they often offer a good tradeoff between computational and statistical efficiency. Unfortunately, they can be difficult to use and extend in practice: e.g., they can make it difficult to incorporate prior information such as sparsity or structure. To address this problem, we present a new view of dynamical system learning: we show how to learn dynamical systems by solving a sequence of ordinary supervised learning problems, thereby allowing users to incorporate prior knowledge via standard techniques such as L 1 regularization. Many existing spectral methods are special cases of this new framework, using linear regression as the supervised learner. We demonstrate the effectiveness of our framework by showing examples where nonlinear regression or lasso let us learn better state representations than plain linear regression does; the correctness of these instances follows directly from our general analysis.

Situated learning theory: adding rate and complexity effects via Kauffman's NK model.

PubMed

Yuan, Yu; McKelvey, Bill

2004-01-01

For many firms, producing information, knowledge, and enhancing learning capability have become the primary basis of competitive advantage. A review of organizational learning theory identifies two approaches: (1) those that treat symbolic information processing as fundamental to learning, and (2) those that view the situated nature of cognition as fundamental. After noting that the former is inadequate because it focuses primarily on behavioral and cognitive aspects of individual learning, this paper argues the importance of studying learning as interactions among people in the context of their environment. It contributes to organizational learning in three ways. First, it argues that situated learning theory is to be preferred over traditional behavioral and cognitive learning theories, because it treats organizations as complex adaptive systems rather than mere information processors. Second, it adds rate and nonlinear learning effects. Third, following model-centered epistemology, it uses an agent-based computational model, in particular a "humanized" version of Kauffman's NK model, to study the situated nature of learning. Using simulation results, we test eight hypotheses extending situated learning theory in new directions. The paper ends with a discussion of possible extensions of the current study to better address key issues in situated learning.

A Dynamic Three-Dimensional Network Visualization Program for Integration into CyberCIEGE and Other Network Visualization Scenarios

DTIC Science & Technology

2007-06-01

information flow involved in network attacks. This kind of information can be invaluable in learning how to best setup and defend computer networks...administrators, and those interested in learning about securing networks a way to conceptualize this complex system of computing. NTAV3D will provide a three...teaching with visual and other components can make learning more effective” (Baxley et al, 2006). A hyperbox (Alpern and Carter, 1991) is

Building a Rapid Learning Health Care System for Oncology: Why CancerLinQ Collects Identifiable Health Information to Achieve Its Vision.

PubMed

Shah, Alaap; Stewart, Andrew K; Kolacevski, Andrej; Michels, Dina; Miller, Robert

2016-03-01

The ever-increasing volume of scientific discoveries, clinical knowledge, novel diagnostic tools, and treatment options juxtaposed with rising costs in health care challenge physicians to identify, prioritize, and use new information rapidly to deliver efficient and high-quality care to a growing and aging patient population. CancerLinQ, a rapid learning health care system in oncology, is an initiative of the American Society of Clinical Oncology and its Institute for Quality that addresses these challenges by collecting information from the electronic health records of large numbers of patients with cancer. CancerLinQ is first and foremost a quality measurement and reporting system through which oncologists can harness the depth and power of their patients' clinical records and other data to assess, monitor, and improve the care they deliver. However, in light of privacy and security concerns with regard to collection, use, and disclosure of patient information, this article addresses the need to collect protected health information as defined under the Health Insurance Portability and Accountability Act of 1996 to drive rapid learning through CancerLinQ. © 2016 by American Society of Clinical Oncology.

Students Learn Systems-Based Care and Facilitate System Change as Stakeholders in a Free Clinic Experience

ERIC Educational Resources Information Center

Colbert, Colleen Y.; Ogden, Paul E.; Lowe, Darla; Moffitt, Michael J.

2010-01-01

Systems-based practice (SBP) is rarely taught or evaluated during medical school, yet is one of the required competencies once students enter residency. We believe Texas A&M College of Medicine students learn about systems issues informally, as they care for patients at a free clinic in Temple, TX. The mandatory free clinic rotation is part of…

Learning Disability: An Educational Adventure. The 1967 Kappa Delta Pi Lecture.

ERIC Educational Resources Information Center

Kephart, Newell C.

Educational implications and symptoms are described for learning disorders, the disruption in the processing of information within the central nervous system caused by brain damage, emotional disturbance, or inadequate presentation of learning experiences. Developmental sequences, developmental progression, and restoration of development are…

An Application of the Patient-Oriented Problem-Solving (POPS) System.

ERIC Educational Resources Information Center

Chiodo, Gary T.; And Others

1991-01-01

The Patient-Oriented Problem-Solving System, a cooperative learning model, was implemented in a second year immunology course at the Oregon Health Sciences University School of Dentistry, to correlate basic and clinical sciences information about Acquired Immune Deficiency Syndrome. Student enthusiasm and learning were substantial. (MSE)

From Answer Garden to Answer Jungle.

ERIC Educational Resources Information Center

Dron, Jon; Mitchell, Richard; Siviter, Phil

1998-01-01

The use of Usenet newsgroups in a computing and information systems classroom at the University of Brighton showed how Internet-based learning systems can encourage rapid evolution so that resources adapt to learners' needs. Although not always used as intended, and including off-topic distractions, newsgroups did accommodate learning styles and…

Professional Development: Teachers Use of GIS to Enhance Student Learning

ERIC Educational Resources Information Center

McClurg, Patricia A.; Buss, Alan

2007-01-01

This article explains a professional development experience of fifth to twelfth grade teachers in using geographic information systems (GIS) and global positioning systems (GPS) technologies to enhance classroom teaching and learning environments. A key challenge faced by the developers was whether teachers would value the technology tools enough…

ESSCOTS for Learning: Transforming Commercial Software into Powerful Educational Tools.

ERIC Educational Resources Information Center

McArthur, David; And Others

1995-01-01

Gives an overview of Educational Support Systems based on commercial off-the-shelf software (ESSCOTS), and discusses the benefits of developing such educational software. Presents results of a study that revealed the learning processes of middle and high school students who used a geographical information system. (JMV)

Addressing Indigenous (ICT) Approaches in South-East Asian Learning Systems

ERIC Educational Resources Information Center

Amato, Silvia

2013-01-01

Purpose: The purpose of this paper is to provide a structural overview about indigenous approaches to learning in South East Asian countries, with a particular reference to education initiatives that have been operating in this region; and especially to investigate information and communication technologies (ICT) systems, in combination with…

Multiple systems for motor skill learning.

PubMed

Clark, Dav; Ivry, Richard B

2010-07-01

Motor learning is a ubiquitous feature of human competence. This review focuses on two particular classes of model tasks for studying skill acquisition. The serial reaction time (SRT) task is used to probe how people learn sequences of actions, while adaptation in the context of visuomotor or force field perturbations serves to illustrate how preexisting movements are recalibrated in novel environments. These tasks highlight important issues regarding the representational changes that occur during the course of motor learning. One important theme is that distinct mechanisms vary in their information processing costs during learning and performance. Fast learning processes may require few trials to produce large changes in performance but impose demands on cognitive resources. Slower processes are limited in their ability to integrate complex information but minimally demanding in terms of attention or processing resources. The representations derived from fast systems may be accessible to conscious processing and provide a relatively greater measure of flexibility, while the representations derived from slower systems are more inflexible and automatic in their behavior. In exploring these issues, we focus on how multiple neural systems may interact and compete during the acquisition and consolidation of new behaviors. Copyright © 2010 John Wiley & Sons, Ltd. This article is categorized under: Psychology > Motor Skill and Performance. Copyright © 2010 John Wiley & Sons, Ltd.

A knowledge representation approach using fuzzy cognitive maps for better navigation support in an adaptive learning system.

PubMed

Chrysafiadi, Konstantina; Virvou, Maria

2013-12-01

In this paper a knowledge representation approach of an adaptive and/or personalized tutoring system is presented. The domain knowledge should be represented in a more realistic way in order to allow the adaptive and/or personalized tutoring system to deliver the learning material to each individual learner dynamically taking into account her/his learning needs and her/his different learning pace. To succeed this, the domain knowledge representation has to depict the possible increase or decrease of the learner's knowledge. Considering that the domain concepts that constitute the learning material are not independent from each other, the knowledge representation approach has to allow the system to recognize either the domain concepts that are already partly or completely known for a learner, or the domain concepts that s/he has forgotten, taking into account the learner's knowledge level of the related concepts. In other words, the system should be informed about the knowledge dependencies that exist among the domain concepts of the learning material, as well as the strength on impact of each domain concept on others. Fuzzy Cognitive Maps (FCMs) seem to be an ideal way for representing graphically this kind of information. The suggested knowledge representation approach has been implemented in an e-learning adaptive system for teaching computer programming. The particular system was used by the students of a postgraduate program in the field of Informatics in the University of Piraeus and was compared with a corresponding system, in which the domain knowledge was represented using the most common used technique of network of concepts. The results of the evaluation were very encouraging.

Time to rethink the neural mechanisms of learning and memory

PubMed Central

Gallistel, Charles R.; Balsam, Peter D

2014-01-01

Most studies in the neurobiology of learning assume that the underlying learning process is a pairing – dependent change in synaptic strength that requires repeated experience of events presented in close temporal contiguity. However, much learning is rapid and does not depend on temporal contiguity which has never been precisely defined. These points are well illustrated by studies showing that temporal relationships between events are rapidly learned-even over long delays- and this knowledge governs the form and timing of behavior. The speed with which anticipatory responses emerge in conditioning paradigms is determined by the information that cues provide about the timing of rewards. The challenge for understanding the neurobiology of learning is to understand the mechanisms in the nervous system that encode information from even a single experience, the nature of the memory mechanisms that can encode quantities such as time, and how the brain can flexibly perform computations based on this information. PMID:24309167

Collecting, Integrating, and Disseminating Patient-Reported Outcomes for Research in a Learning Healthcare System

PubMed Central

Harle, Christopher A.; Lipori, Gloria; Hurley, Robert W.

2016-01-01

Introduction: Advances in health policy, research, and information technology have converged to increase the electronic collection and use of patient-reported outcomes (PROs). Therefore, it is important to share lessons learned in implementing PROs in research information systems. Case Description: The purpose of this case study is to describe a novel information system for electronic PROs and lessons learned in implementing that system to support research in an academic health center. The system incorporates freely available and commercial software and involves clinical and research workflows that support the collection, transformation, and research use of PRO data. The software and processes that comprise the system serve three main functions, (i) collecting electronic PROs in clinical care, (ii) integrating PRO data with non-patient generated clinical data, and (iii) disseminating data to researchers through the institution’s research informatics infrastructure, including the i2b2 (Informatics for Integrating Biology and the Bedside) system. Strategies: Our successful design and implementation was driven by three overarching strategies. First, we selected and implemented multiple interfaced technologies to support PRO collection, management, and research use. Second, we aimed to use standardized approaches to measuring PROs, sending PROs between systems, and disseminating PROs. Finally, we focused on using technologies and processes that aligned with existing clinical research information management strategies within our organization. Conclusion: These experiences and lessons may help future implementers and researchers enhance the scale and sustainable use of systems for research use of PROs. PMID:27563683

Collecting, Integrating, and Disseminating Patient-Reported Outcomes for Research in a Learning Healthcare System.

PubMed

Harle, Christopher A; Lipori, Gloria; Hurley, Robert W

2016-01-01

Advances in health policy, research, and information technology have converged to increase the electronic collection and use of patient-reported outcomes (PROs). Therefore, it is important to share lessons learned in implementing PROs in research information systems. The purpose of this case study is to describe a novel information system for electronic PROs and lessons learned in implementing that system to support research in an academic health center. The system incorporates freely available and commercial software and involves clinical and research workflows that support the collection, transformation, and research use of PRO data. The software and processes that comprise the system serve three main functions, (i) collecting electronic PROs in clinical care, (ii) integrating PRO data with non-patient generated clinical data, and (iii) disseminating data to researchers through the institution's research informatics infrastructure, including the i2b2 (Informatics for Integrating Biology and the Bedside) system. Our successful design and implementation was driven by three overarching strategies. First, we selected and implemented multiple interfaced technologies to support PRO collection, management, and research use. Second, we aimed to use standardized approaches to measuring PROs, sending PROs between systems, and disseminating PROs. Finally, we focused on using technologies and processes that aligned with existing clinical research information management strategies within our organization. These experiences and lessons may help future implementers and researchers enhance the scale and sustainable use of systems for research use of PROs.

Patient Safety Learning Systems: A Systematic Review and Qualitative Synthesis.

PubMed

2017-01-01

A patient safety learning system (sometimes called a critical incident reporting system) refers to structured reporting, collation, and analysis of critical incidents. To inform a provincial working group's recommendations for an Ontario Patient Safety Event Learning System, a systematic review was undertaken to determine design features that would optimize its adoption into the health care system and would inform implementation strategies. The objective of this review was to address two research questions: (a) what are the barriers to and facilitators of successful adoption of a patient safety learning system reported by health professionals and (b) what design components maximize successful adoption and implementation? To answer the first question, we used a published systematic review. To answer the second question, we used scoping study methodology. Common barriers reported in the literature by health care professionals included fear of blame, legal penalties, the perception that incident reporting does not improve patient safety, lack of organizational support, inadequate feedback, lack of knowledge about incident reporting systems, and lack of understanding about what constitutes an error. Common facilitators included a non-accusatory environment, the perception that incident reporting improves safety, clarification of the route of reporting and of how the system uses reports, enhanced feedback, role models (such as managers) using and promoting reporting, legislated protection of those who report, ability to report anonymously, education and training opportunities, and clear guidelines on what to report. Components of a patient safety learning system that increased successful adoption and implementation were emphasis on a blame-free culture that encourages reporting and learning, clear guidelines on how and what to report, making sure the system is user-friendly, organizational development support for data analysis to generate meaningful learning outcomes, and multiple mechanisms to provide feedback through routes to reporters and the wider community (local meetings, email alerts, bulletins, paper contributions, etc.). The design of a patient safety learning system can be optimized by an awareness of the barriers to and facilitators of successful adoption and implementation identified by health care professionals. Evaluation of the effectiveness of a patient safety learning system is needed to refine its design.

The cerebellum: a neural system for the study of reinforcement learning.

PubMed

Swain, Rodney A; Kerr, Abigail L; Thompson, Richard F

2011-01-01

In its strictest application, the term "reinforcement learning" refers to a computational approach to learning in which an agent (often a machine) interacts with a mutable environment to maximize reward through trial and error. The approach borrows essentials from several fields, most notably Computer Science, Behavioral Neuroscience, and Psychology. At the most basic level, a neural system capable of mediating reinforcement learning must be able to acquire sensory information about the external environment and internal milieu (either directly or through connectivities with other brain regions), must be able to select a behavior to be executed, and must be capable of providing evaluative feedback about the success of that behavior. Given that Psychology informs us that reinforcers, both positive and negative, are stimuli or consequences that increase the probability that the immediately antecedent behavior will be repeated and that reinforcer strength or viability is modulated by the organism's past experience with the reinforcer, its affect, and even the state of its muscles (e.g., eyes open or closed); it is the case that any neural system that supports reinforcement learning must also be sensitive to these same considerations. Once learning is established, such a neural system must finally be able to maintain continued response expression and prevent response drift. In this report, we examine both historical and recent evidence that the cerebellum satisfies all of these requirements. While we report evidence from a variety of learning paradigms, the majority of our discussion will focus on classical conditioning of the rabbit eye blink response as an ideal model system for the study of reinforcement and reinforcement learning.

Live, Model, Learn: Experiencing Information Systems Requirements through Simulation

ERIC Educational Resources Information Center

Hartzel, Kathleen S.; Pike, Jacqueline C.

2015-01-01

Information system professionals strive to determine requirements by interviewing clients, observing activities at the client's site, and studying existing system documentation. Still this often leads to vague and inaccurate requirements documentation. When teaching the skills needed to determine requirements, it is important to recreate a…

Data mining technique for a secure electronic payment transaction using MJk-RSA in mobile computing

NASA Astrophysics Data System (ADS)

G. V., Ramesh Babu; Narayana, G.; Sulaiman, A.; Padmavathamma, M.

2012-04-01

Due to the evolution of the Electronic Learning (E-Learning), one can easily get desired information on computer or mobile system connected through Internet. Currently E-Learning materials are easily accessible on the desktop computer system, but in future, most of the information shall also be available on small digital devices like Mobile, PDA, etc. Most of the E-Learning materials are paid and customer has to pay entire amount through credit/debit card system. Therefore, it is very important to study about the security of the credit/debit card numbers. The present paper is an attempt in this direction and a security technique is presented to secure the credit/debit card numbers supplied over the Internet to access the E-Learning materials or any kind of purchase through Internet. A well known method i.e. Data Cube Technique is used to design the security model of the credit/debit card system. The major objective of this paper is to design a practical electronic payment protocol which is the safest and most secured mode of transaction. This technique may reduce fake transactions which are above 20% at the global level.

On-line integration of computer controlled diagnostic devices and medical information systems in undergraduate medical physics education for physicians.

PubMed

Hanus, Josef; Nosek, Tomas; Zahora, Jiri; Bezrouk, Ales; Masin, Vladimir

2013-01-01

We designed and evaluated an innovative computer-aided-learning environment based on the on-line integration of computer controlled medical diagnostic devices and a medical information system for use in the preclinical medical physics education of medical students. Our learning system simulates the actual clinical environment in a hospital or primary care unit. It uses a commercial medical information system for on-line storage and processing of clinical type data acquired during physics laboratory classes. Every student adopts two roles, the role of 'patient' and the role of 'physician'. As a 'physician' the student operates the medical devices to clinically assess 'patient' colleagues and records all results in an electronic 'patient' record. We also introduced an innovative approach to the use of supportive education materials, based on the methods of adaptive e-learning. A survey of student feedback is included and statistically evaluated. The results from the student feedback confirm the positive response of the latter to this novel implementation of medical physics and informatics in preclinical education. This approach not only significantly improves learning of medical physics and informatics skills but has the added advantage that it facilitates students' transition from preclinical to clinical subjects. Copyright © 2011 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

An Inside Look at School Reform: What We Have Learned about Assessing Student Learning in a Nongraded Primary School.

ERIC Educational Resources Information Center

Hall, Tracey E.; Baker, Scott

This paper provides background information on school reform and describes efforts to implement an assessment system for students with disabilities in 12 nongraded primary classrooms. Background information briefly covers the school restructuring movement, the history of nongraded primary education, alternative assessment strategies which focus on…

A University?Wide Vision of Teaching and Learning with Information Technologies

ERIC Educational Resources Information Center

Masi, Anthony C.; Winer, Laura R.

2005-01-01

This paper outlines McGill University's responses to the challenges of teaching and learning with information systems and technologies; it also gives a description of the underlying philosophy that is guiding these actions. The context at McGill is briefly outlined, with a discussion of the importance of planning and the relevance of these issues…

Assessment and Recognition of Non-Formal and Informal Learning: A Lithuanian Case of Novice Consultants' Experience

ERIC Educational Resources Information Center

Burkšaitiene, Nijole

2015-01-01

This article reports the results of the investigation into institutional support provided to adults by 12 novice consultants on assessment and recognition of their non-formal and informal learning in four institutions of higher education (HEIs) in Lithuania. Using the general systems perspective and perception theory, novice consultants'…

Assessing Performance through Informal Techniques. Learning Package No. 10.

ERIC Educational Resources Information Center

Nelson, Carol; Smith, Carl, Comp.

Originally developed for the Department of Defense Schools (DoDDS) system, this learning package on assessing performance through informal techniques is designed for teachers who wish to upgrade or expand their teaching skills on their own. The package includes a comprehensive search of the ERIC database; a lecture giving an overview on the topic;…

Animating Civic Education: Developing a Knowledge Navigation System Using Blogging and Topic Map Technology

ERIC Educational Resources Information Center

Huang, Tien-Chi; Chen, Chia-Chen

2013-01-01

With the advent of Web 2.0 technology, message transmission has become increasingly convenient, and the rising amount of information has become gradually diverse. A question must be asked of this trend, on whether informal learning resources can be integrated into formal learning knowledge. This study attempts to integrate educational blog…

"I'm the Same Teacher": The Attitudes of Science and Computer Literacy Teachers Regarding Integrating ICT in Instruction to Advance Meaningful Learning

ERIC Educational Resources Information Center

Steiner, Dasi; Mendelovitch, Miriam

2017-01-01

The communications revolution reaches all sectors of the population and makes information accessible to all. This development presents complex challenges which require changes in the education system, teaching methods and learning environment. The integration of ICT (Information and Communications Technology) and science teaching requires…

Determining the Effectiveness of Various Delivery Methods in an Information Technology/Information Systems Curriculum

ERIC Educational Resources Information Center

Davis, Gary Alan; Kovacs, Paul J.; Scarpino, John; Turchek, John C.

2010-01-01

The emergence of increasingly sophisticated communication technologies and the media-rich extensions of the World Wide Web have prompted universities to use alternatives to the traditional classroom teaching and learning methods. This demand for alternative delivery methods has led to the development of a wide range of eLearning techniques.…

Designing a Structured and Interactive Learning Environment Based on GIS for Secondary Geography Education

ERIC Educational Resources Information Center

Liu, Suxia; Zhu, Xuan

2008-01-01

Geographic information systems (GIS) are computer-based tools for geographic data analysis and spatial visualization. They have become one of the information and communications technologies for education at all levels. This article reviews the current status of GIS in schools, analyzes the requirements of a GIS-based learning environment from…

Communications Technologies in Open and Distance Learning in Asia: The Experience of the Asian Development Bank.

ERIC Educational Resources Information Center

Sharma, Motilal

In view of financial constraints, large numbers of students to be educated, and rapid changes in information and communication and information technology, open learning (OL) and distance education (DE) systems are being established at an unprecedented rate in almost all developing countries of the Asian and Pacific region. Modern communications,…

System level mechanisms of adaptation, learning, memory formation and evolvability: the role of chaperone and other networks.

PubMed

Gyurko, David M; Soti, Csaba; Stetak, Attila; Csermely, Peter

2014-05-01

During the last decade, network approaches became a powerful tool to describe protein structure and dynamics. Here, we describe first the protein structure networks of molecular chaperones, then characterize chaperone containing sub-networks of interactomes called as chaperone-networks or chaperomes. We review the role of molecular chaperones in short-term adaptation of cellular networks in response to stress, and in long-term adaptation discussing their putative functions in the regulation of evolvability. We provide a general overview of possible network mechanisms of adaptation, learning and memory formation. We propose that changes of network rigidity play a key role in learning and memory formation processes. Flexible network topology provides ' learning-competent' state. Here, networks may have much less modular boundaries than locally rigid, highly modular networks, where the learnt information has already been consolidated in a memory formation process. Since modular boundaries are efficient filters of information, in the 'learning-competent' state information filtering may be much smaller, than after memory formation. This mechanism restricts high information transfer to the 'learning competent' state. After memory formation, modular boundary-induced segregation and information filtering protect the stored information. The flexible networks of young organisms are generally in a 'learning competent' state. On the contrary, locally rigid networks of old organisms have lost their 'learning competent' state, but store and protect their learnt information efficiently. We anticipate that the above mechanism may operate at the level of both protein-protein interaction and neuronal networks.

The role of information and communication technology in developing smart education

NASA Astrophysics Data System (ADS)

Roslina; Zarlis, Muhammad; Mawengkang, Herman; Sembiring, R. W.

2017-09-01

The right to get a proper education for every citizen had been regulated by the government, but not all citizens have the same opportunity. This is due to the other factors in the nation's infrastructure, Frontier, Outermost, and Disadvantaged (3T) which have not beenaccomodatedto access information and communication technology (ICT), and the ideal learning environment in order to pursue knowledge. This condition could be achieved by reforming higher education. Such reforms include the provision of educational services in the form of a flexible learner-oriented, and to change the curriculum with market based.These changes would include the provision of lecturers, professors, and professional teaching force. Another important effort is to update the quality of higher education with resource utilization. This paper proposes a new education business model to realize the Smart Education (SE), with an orientation on the proven skills and competitive.SE is the higher education system to optimize output (outcome) learning with combine individual learning and collaboration techniques based network system, informal practice learning and formal theory. UtilizingICT resources can improve the quality and access to higher education in supporting activities of higher education.This paper shows that ICT resources can support virtual connected with the use of shared resources, such as resource of information, learning resources, computing resources, and human resources.

Effectiveness of Information Processing Strategy Training on Academic Task Performance in Children with Learning Disabilities: A Pilot Study.

PubMed

Juntorn, Sutinun; Sriphetcharawut, Sarinya; Munkhetvit, Peeraya

2017-01-01

Learning disabilities (LD) can be associated with problems in the four stages of information processing used in learning: input, throughput, output, and feedback. These problems affect the child's ability to learn and perform activities in daily life, especially during academic activities. This study is a pilot study aimed at investigating the effectiveness of information processing strategy training using a combination of two approaches that address the ability to apply processing strategies during academic activities in children with LD. The two approaches are the Perceive, Recall, Plan, and Perform (PRPP) System of Intervention, which is a strategy training intervention, and the Four-Quadrant Model (4QM) of Facilitated Learning approach, which is a systematic facilitator technique. Twenty children with LD were assigned to two groups: the experimental group ( n = 10) and the control group ( n = 10). Children in the experimental group received the intervention twice a week for 6 consecutive weeks. Each treatment session took approximately 50 minutes. Children in the control group received traditional intervention twice a week for 6 consecutive weeks. The results indicated that the combination of the PRPP System of Intervention and the 4QM may improve the participants' ability to apply information processing strategies during academic activities.

Predictors of E-Learning Satisfaction in Teaching and Learning for School Teachers: A Literature Review

ERIC Educational Resources Information Center

Cheok, Mei Lick; Wong, Su Luan

2015-01-01

This paper develops a theoretical model of the determinants of e-learning satisfaction in teaching and learning among secondary school teachers. It is based on reviews of past studies on satisfaction in using information technology systems. Three potential groups of determinants of satisfaction among secondary school teachers were identified;…

The Adoption of E-Learning Technology at the Faculty of Distance Learning of Plekhanov Russian University of Economics

ERIC Educational Resources Information Center

Gerasimova, Vera G.; Melamud, Marina R.; Tutaeva, Dinara R.; Romanova, Yuliya D.; Zhenova, Nataliya A.

2018-01-01

The authors review application of information technologies and systems at the Faculty of Distance Learning of Plekhanov Russian University of Economics. General aspects of organizing training in e-learning environment, highlighting the advantages and disadvantages of such approach are also examined. The authors study and analyze a number of…

Effects of the ISIS Recommender System for Navigation Support in Self-Organised Learning Networks

ERIC Educational Resources Information Center

Drachsler, Hendrik; Hummel, Hans; van den Berg, Bert; Eshuis, Jannes; Waterink, Wim; Nadolski, Rob; Berlanga, Adriana; Boers, Nanda; Koper, Rob

2009-01-01

The need to support users of the Internet with the selection of information is becoming more important. Learners in complex, self-organising Learning Networks have similar problems and need guidance to find and select most suitable learning activities, in order to attain their lifelong learning goals in the most efficient way. Several research…

An Evolving Learning Management System for New Educational Environments Using 2.0 Tools

ERIC Educational Resources Information Center

Conde, Miguel Á.; García-Peñalvo, Francisco J.; Rodríguez-Conde, María J.; Alier, Marc; Casany, María J.; Piguillem, Jordi

2014-01-01

The tools used in learning processes are in a continuous state of flux. One of the most significant changes is the application of Information and Communications technologies (ICTs) to educational contexts. This provides new possible ways to carry out learning activities, new learning services, the possibility to use new kinds of contents and…

Exploring Staff Perceptions: Early Childhood Teacher Educators Examine Online Teaching and Learning Challenges and Dilemmas

ERIC Educational Resources Information Center

Davis, Julie; Lennox, Sandra; Walker, Sue; Walsh, Kerryann

2007-01-01

Early Childhood teacher educators at Queensland University of Technology (QUT) have been engaging with online teaching and learning since the mid 1990s. On campus students have lectures and tutorials supported by information and communication technologies via QUT's home grown learning management system, Online Learning and Teaching (OLT). We…

Enabling Problem Based Learning through Web 2.0 Technologies: PBL 2.0

ERIC Educational Resources Information Center

Tambouris, Efthimios; Panopoulou, Eleni; Tarabanis, Konstantinos; Ryberg, Thomas; Buus, Lillian; Peristeras, Vassilios; Lee, Deirdre; Porwol, Lukasz

2012-01-01

Advances in Information and Communications Technology (ICT), particularly the so-called Web 2.0, are affecting all aspects of our life: How we communicate, how we shop, how we socialise, how we learn. Facilitating learning through the use of ICT, also known as eLearning, is a vital part of modern educational systems. Established pedagogical…

Towards Greater Learner Control: Web Supported Project-Based Learning

ERIC Educational Resources Information Center

Guthrie, Cameron

2010-01-01

Project-based learning has been suggested as an appropriate pedagogy to prepare students in information systems for the realities of the business world. Web-based resources have been used to support such pedagogy with mixed results. The paper argues that the design of web-based learning support to cater to different learning styles may give…

The Use of Facebook in an Introductory MIS Course: Social Constructivist Learning Environment

ERIC Educational Resources Information Center

Ractham, Peter; Kaewkitipong, Laddawan; Firpo, Daniel

2012-01-01

The major objective of this article is to evaluate via a Design Science Research Methodology (DSRM) the implementation of a Social Constructivist learning framework for an introductory Management Information System (MIS) course. Facebook was used as a learning artifact to build and foster a learning environment, and a series of features and…

Experience in Education Environment Virtualization within the Automated Information System "Platonus" (Kazakhstan)

ERIC Educational Resources Information Center

Abeldina, Zhaidary; Moldumarova, Zhibek; Abeldina, Rauza; Makysh, Gulmira; Moldumarova, Zhuldyz Ilibaevna

2016-01-01

This work reports on the use of virtual tools as means of learning process activation. A good result can be achieved by combining the classical learning with modern computer technology. By creating a virtual learning environment and using multimedia learning tools one can obtain a significant result while facilitating the development of students'…

Identification of "At Risk" Students Using Learning Analytics: The Ethical Dilemmas of Intervention Strategies in a Higher Education Institution

ERIC Educational Resources Information Center

Lawson, Celeste; Beer, Colin; Rossi, Dolene; Moore, Teresa; Fleming, Julie

2016-01-01

Learning analytics is an emerging field in which sophisticated analytic tools are used to inform and improve learning and teaching. Researchers within a regional university in Australia identified an association between interaction and student success in online courses and subsequently developed a learning analytics system aimed at informing…

KBGIS-2: A knowledge-based geographic information system

NASA Technical Reports Server (NTRS)

Smith, T.; Peuquet, D.; Menon, S.; Agarwal, P.

1986-01-01

The architecture and working of a recently implemented knowledge-based geographic information system (KBGIS-2) that was designed to satisfy several general criteria for the geographic information system are described. The system has four major functions that include query-answering, learning, and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial objects language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multilayered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average case. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. The system is currently performing all its designated tasks successfully, although currently implemented on inadequate hardware. Future reports will detail the performance characteristics of the system, and various new extensions are planned in order to enhance the power of KBGIS-2.

Integrating health sciences library resources into course management systems.

PubMed

Blevins, Amy E; Inman, Megan B

2014-01-01

As distance education and blended learning grows, so does the need for health sciences librarians to become involved with course management systems. This article will provide some information on how to become involved with course management systems and will also provide information on a few of the more popular systems available.

Business Process Reengineering towards an Integrated Learning Management System

ERIC Educational Resources Information Center

Basal, Abdelraheem Mousa

2010-01-01

The task of managing an information technology (IT) system in a school environment poses unique challenges. For example, one of the greatest challenges facing individual schools is the lack of integration among various information systems. The present situation in many schools is that there are many disconnected systems managing many different…

Privacy Impact Assessment for MyWorkplace

EPA Pesticide Factsheets

Users of this system can retrieve names, personal contact information, and hierarchy information about individuals. Learn how the data will be collected in the system, how it will be used, access to the data, and the purpose of data collection.

Privacy Impact Assessment for the Enforcement Action Response System

EPA Pesticide Factsheets

The Enforcement Action Response System collects waste transaction information, and liability determination information. Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies

Privacy Impact Assessment for the Integrated Grants Management System

EPA Pesticide Factsheets

The Integrated Management System collects contact information and other Personally Identifiable Information (PII). Learn how this data is collected, how it will be used, access to the data, the purpose of data collection, and record retention policies.

A Distributed Multi-Agent System for Collaborative Information Management and Learning

NASA Technical Reports Server (NTRS)

Chen, James R.; Wolfe, Shawn R.; Wragg, Stephen D.; Koga, Dennis (Technical Monitor)

2000-01-01

In this paper, we present DIAMS, a system of distributed, collaborative agents to help users access, manage, share and exchange information. A DIAMS personal agent helps its owner find information most relevant to current needs. It provides tools and utilities for users to manage their information repositories with dynamic organization and virtual views. Flexible hierarchical display is integrated with indexed query search-to support effective information access. Automatic indexing methods are employed to support user queries and communication between agents. Contents of a repository are kept in object-oriented storage to facilitate information sharing. Collaboration between users is aided by easy sharing utilities as well as automated information exchange. Matchmaker agents are designed to establish connections between users with similar interests and expertise. DIAMS agents provide needed services for users to share and learn information from one another on the World Wide Web.

Electronic Means of Foreign Language Learning in the System of Higher Education

ERIC Educational Resources Information Center

Frolova, Natalia

2017-01-01

Integration of information communication technologies, enhancing students' motivation and adding to personalized learning, into higher education is challenging but beneficial. It is particularly acute in the field of foreign language learning which requires language competence formation along with knowledge of grammar patterns, vocabulary…

Towards Actionable Learning Analytics Using Dispositions

ERIC Educational Resources Information Center

Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan

2017-01-01

Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…

Intelligent Tutoring Systems by and for the Developing World: A Review of Trends and Approaches for Educational Technology in a Global Context

ERIC Educational Resources Information Center

Nye, Benjamin D.

2015-01-01

As information and communication technology access expands in the developing world, learning technologies have the opportunity to play a growing role to enhance and supplement strained educational systems. Intelligent tutoring systems (ITS) offer strong learning gains, but are a class of technology traditionally designed for most-developed…

Enriching Adaptation in E-Learning Systems through a Situation-Aware Ontology Network

ERIC Educational Resources Information Center

Pernas, Ana Marilza; Diaz, Alicia; Motz, Regina; de Oliveira, Jose Palazzo Moreira

2012-01-01

Purpose: The broader adoption of the internet along with web-based systems has defined a new way of exchanging information. That advance added by the multiplication of mobile devices has required systems to be even more flexible and personalized. Maybe because of that, the traditional teaching-controlled learning style has given up space to a new…

Modelling the Success of Learning Management Systems: Application of Latent Class Segmentation Using FIMIX-PLS

ERIC Educational Resources Information Center

Arenas-Gaitán, Jorge; Rondán-Cataluña, Francisco Javier; Ramírez-Correa, Patricio E.

2018-01-01

There is not a unique attitude towards the implementation of digital technology in educational sceneries. This paper aims to validate an adaptation of the DeLone and McLean information systems success model in the context of a learning management system. Furthermore, this study means to prove (1) the necessity of segmenting students in order to…

The Development and Preliminary Application Ofplant Quarantine Remote Teaching System Inchina

NASA Astrophysics Data System (ADS)

Wu, Zhigang; Li, Zhihong; Yang, Ding; Zhang, Guozhen

With the development of modern information technology, the traditional teaching mode becomes more deficient for the requirement of modern education. Plant Quarantine has been accepted as the common course for the universities of agriculture in China after the entry of WTO. But the teaching resources of this course are not enough especially for most universities with lack base. The characteristic of e-learning is regarded as one way to solve the problem of short teaching resource. PQRTS (Plant Quarantine Remote Teaching System) was designed and developed with JSP (Java Sever Pages), MySQL and Tomcat in this study. The system included many kinds of plant quarantine teaching resources, such as international glossary, regulations and standards, multimedia information of quarantine process and pests, ppt files of teaching, and training exercise. The system prototype implemented the functions of remote learning, querying, management, examination and remote discussion. It could be a tool for teaching, teaching assistance and learning online.

Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in Digital Age (14th, Vilamoura, Algarve, Portugal, October 18-20, 2017)

ERIC Educational Resources Information Center

Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed.

2017-01-01

These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…

A conceptual model for analysing informal learning in online social networks for health professionals.

PubMed

Li, Xin; Gray, Kathleen; Chang, Shanton; Elliott, Kristine; Barnett, Stephen

2014-01-01

Online social networking (OSN) provides a new way for health professionals to communicate, collaborate and share ideas with each other for informal learning on a massive scale. It has important implications for ongoing efforts to support Continuing Professional Development (CPD) in the health professions. However, the challenge of analysing the data generated in OSNs makes it difficult to understand whether and how they are useful for CPD. This paper presents a conceptual model for using mixed methods to study data from OSNs to examine the efficacy of OSN in supporting informal learning of health professionals. It is expected that using this model with the dataset generated in OSNs for informal learning will produce new and important insights into how well this innovation in CPD is serving professionals and the healthcare system.

Symbolic Execution Enhanced System Testing

NASA Technical Reports Server (NTRS)

Davies, Misty D.; Pasareanu, Corina S.; Raman, Vishwanath

2012-01-01

We describe a testing technique that uses information computed by symbolic execution of a program unit to guide the generation of inputs to the system containing the unit, in such a way that the unit's, and hence the system's, coverage is increased. The symbolic execution computes unit constraints at run-time, along program paths obtained by system simulations. We use machine learning techniques treatment learning and function fitting to approximate the system input constraints that will lead to the satisfaction of the unit constraints. Execution of system input predictions either uncovers new code regions in the unit under analysis or provides information that can be used to improve the approximation. We have implemented the technique and we have demonstrated its effectiveness on several examples, including one from the aerospace domain.

Fidelity-Based Ant Colony Algorithm with Q-learning of Quantum System

NASA Astrophysics Data System (ADS)

Liao, Qin; Guo, Ying; Tu, Yifeng; Zhang, Hang

2018-03-01

Quantum ant colony algorithm (ACA) has potential applications in quantum information processing, such as solutions of traveling salesman problem, zero-one knapsack problem, robot route planning problem, and so on. To shorten the search time of the ACA, we suggest the fidelity-based ant colony algorithm (FACA) for the control of quantum system. Motivated by structure of the Q-learning algorithm, we demonstrate the combination of a FACA with the Q-learning algorithm and suggest the design of a fidelity-based ant colony algorithm with the Q-learning to improve the performance of the FACA in a spin-1/2 quantum system. The numeric simulation results show that the FACA with the Q-learning can efficiently avoid trapping into local optimal policies and increase the speed of convergence process of quantum system.

Fidelity-Based Ant Colony Algorithm with Q-learning of Quantum System

NASA Astrophysics Data System (ADS)

Liao, Qin; Guo, Ying; Tu, Yifeng; Zhang, Hang

2017-12-01

Quantum ant colony algorithm (ACA) has potential applications in quantum information processing, such as solutions of traveling salesman problem, zero-one knapsack problem, robot route planning problem, and so on. To shorten the search time of the ACA, we suggest the fidelity-based ant colony algorithm (FACA) for the control of quantum system. Motivated by structure of the Q-learning algorithm, we demonstrate the combination of a FACA with the Q-learning algorithm and suggest the design of a fidelity-based ant colony algorithm with the Q-learning to improve the performance of the FACA in a spin-1/2 quantum system. The numeric simulation results show that the FACA with the Q-learning can efficiently avoid trapping into local optimal policies and increase the speed of convergence process of quantum system.

Perspectives on Advanced Learning Technologies and Learning Networks and Future Aerospace Workforce Environments

NASA Technical Reports Server (NTRS)

Noor, Ahmed K. (Compiler)

2003-01-01

An overview of the advanced learning technologies is given in this presentation along with a brief description of their impact on future aerospace workforce development. The presentation is divided into five parts (see Figure 1). In the first part, a brief historical account of the evolution of learning technologies is given. The second part describes the current learning activities. The third part describes some of the future aerospace systems, as examples of high-tech engineering systems, and lists their enabling technologies. The fourth part focuses on future aerospace research, learning and design environments. The fifth part lists the objectives of the workshop and some of the sources of information on learning technologies and learning networks.

EUNIS '99: Information Technology Shaping European Universities. Proceedings of the International European University Information Systems (5th, Espoo, Finland, June 7-9, 1999).

ERIC Educational Resources Information Center

1999

This document presents the proceedings from the 5th International European University Information Systems (EUNIS) Conference on Information Technology that took place in Helsinki, Finland on June 7-9, 1999. Topics of the conference proceedings were divided into five tracks (A through E): Use of Information Technology in Learning and Teaching;…

A conceptual persistent healthcare quality improvement process for software development management.

PubMed

Lin, Jen-Chiun; Su, Mei-Ju; Cheng, Po-Hsun; Weng, Yung-Chien; Chen, Sao-Jie; Lai, Jin-Shin; Lai, Feipei

2007-01-01

This paper illustrates a sustained conceptual service quality improvement process for the management of software development within a healthcare enterprise. Our proposed process is revised from Niland's healthcare quality information system (HQIS). This process includes functions to survey the satisfaction of system functions, describe the operation bylaws on-line, and provide on-demand training. To achieve these goals, we integrate five information systems in National Taiwan University Hospital, including healthcare information systems, health quality information system, requirement management system, executive information system, and digital learning system, to form a full Deming cycle. A preliminary user satisfaction survey showed that our outpatient information system scored an average of 71.31 in 2006.

Design and Implementation of Campus Application APP Based on Android

NASA Astrophysics Data System (ADS)

dongxu, Zhu; yabin, liu; xian lei, PI; weixiang, Zhou; meng, Huang

2017-07-01

In this paper, "Internet + campus" as the entrance of the Android technology based on the application of campus design and implementation of Application program. Based on GIS(Geographic Information System) spatial database, GIS spatial analysis technology, Java development technology and Android development technology, this system server adopts the Model View Controller architectue to realize the efficient use of campus information and provide real-time information of all kinds of learning and life for campus student at the same time. "Fingertips on the Institute of Disaster Prevention Science and Technology" release for the campus students of all grades of life, learning, entertainment provides a convenient.

Navigation assistance: a trade-off between wayfinding support and configural learning support.

PubMed

Münzer, Stefan; Zimmer, Hubert D; Baus, Jörg

2012-03-01

Current GPS-based mobile navigation assistance systems support wayfinding, but they do not support learning about the spatial configuration of an environment. The present study examined effects of visual presentation modes for navigation assistance on wayfinding accuracy, route learning, and configural learning. Participants (high-school students) visited a university campus for the first time and took a predefined assisted tour. In Experiment 1 (n = 84, 42 females), a presentation mode showing wayfinding information from eye-level was contrasted with presentation modes showing wayfinding information included in views that provided comprehensive configural information. In Experiment 2 (n = 48, 24 females), wayfinding information was included in map fragments. A presentation mode which always showed north on top of the device was compared with a mode which rotated according to the orientation of the user. Wayfinding accuracy (deviations from the route), route learning, and configural learning (direction estimates, sketch maps) were assessed. Results indicated a trade-off between wayfinding and configural learning: Presentation modes providing comprehensive configural information supported the acquisition of configural knowledge at the cost of accurate wayfinding. The route presentation mode supported wayfinding at the cost of configural knowledge acquisition. Both presentation modes based on map fragments supported wayfinding. Individual differences in visual-spatial working memory capacity explained a considerable portion of the variance in wayfinding accuracy, route learning, and configural learning. It is concluded that learning about an unknown environment during assisted navigation is based on the integration of spatial information from multiple sources and can be supported by appropriate visualization. PsycINFO Database Record (c) 2012 APA, all rights reserved.

Web Cast on Arsenic Demonstration Program: Lessons Learned

EPA Science Inventory

Web cast presentation covered 10 Lessons Learned items selected from the Arsenic Demonstration Program with supporting information. The major items discussed include system design and performance items and the cost of the technologies.

The Promise of Education Information Systems: How Technology Can Improve School Management and Success

ERIC Educational Resources Information Center

Levenson, Nathan; Boser, Ulrich

2014-01-01

Many school district strategic plans and education conferences are aggressively embracing technology to improve teaching and learning. Classroom technology typically includes blended learning, personalized learning, online courses for students, and professional development for teachers, among many other things. As districts wrestle with tighter…

Exploring Digital Badges in University Courses: Relationships between Quantity, Engagement, and Performance

ERIC Educational Resources Information Center

Fanfarelli, Joseph R.; McDaniel, Rudy

2017-01-01

Digital badging research is gaining momentum as instructors and administrators consider new models for assessing learning in nontraditional contexts (e.g., informal science learning programs, flexible online courses, adaptive learning systems). While many studies are examining the effectiveness of digital badges for pedagogical functions, such as…

Comprehensive Framework for Evaluating e-Learning Systems: Using BSC Framework

ERIC Educational Resources Information Center

Momeni, Mansor; Jamporazmey, Mona; Mehrafrouz, Mohsen; Bahadori, Fatemeh

2013-01-01

The development of information and communication technology (ICT) is changing the way in which people work, communicate and learn. Recently developing and implementing e-learning solutions have increased dramatically. According to heavily investing in this area, it is essential to evaluate its different aspects and understand measures, which…

The Occupational Versatility Program: Student-Directed Learning in Industrial Arts.

ERIC Educational Resources Information Center

Lavender, John

1978-01-01

Describes the Occupational Versatility program in industrial arts, involving a self-instructional school shop in which the learning system is student-managed, nongraded, upgraded, and team taught. This federally funded learning method has also been successfully applied to home economics and art education. Information sources for the teacher are…

Health Informatics Program Design and Outcomes: Learning from an Early Offering at a Mid-Level University

ERIC Educational Resources Information Center

Parker, Kevin R.; Srinivasan, Sankara Subramanian; Houghton, Robert F.; Kordzadeh, Nima; Bozan, Karoly; Ottaway, Thomas; Davey, Bill

2017-01-01

Curriculum development is particularly challenging in computing-related disciplines as the computing industry changes more quickly than most. As information technology degrees have become relatively pervasive, some institutions that offer information systems degrees have recognized a need to develop specialist studies in information systems. This…

The Effect of Recommendation Systems on Internet-Based Learning for Different Learners: A Data Mining Analysis

ERIC Educational Resources Information Center

Liu, Chen-Chung; Chang, Chia-Jung; Tseng, Jui-Min

2013-01-01

A general challenge facing Internet-based learners is how to identify information objects which are helpful in expanding their understanding of important information in a domain. Recommendation systems may assist learners in identifying potentially helpful information objects. However, the recent literature mainly focuses on the technical…

Take II--Information Literacy: Revolution in Education.

ERIC Educational Resources Information Center

Breivik, Patricia Senn

1999-01-01

Discussion of information literacy focuses on resource-based learning. Considers library instruction versus information literacy; documenting value added; the workforce and information literacy; user-friendly library systems; and educational reform. Information literacy standards, endorsed by the American Association of School Librarians (AASL)…

Diagnosing Breast Cancer with Microwave Technology: remaining challenges and potential solutions with machine learning.

PubMed

Oliveira, Bárbara L; Godinho, Daniela; O'Halloran, Martin; Glavin, Martin; Jones, Edward; Conceição, Raquel C

2018-05-19

Currently, breast cancer often requires invasive biopsies for diagnosis, motivating researchers to design and develop non-invasive and automated diagnosis systems. Recent microwave breast imaging studies have shown how backscattered signals carry relevant information about the shape of a tumour, and tumour shape is often used with current imaging modalities to assess malignancy. This paper presents a comprehensive analysis of microwave breast diagnosis systems which use machine learning to learn characteristics of benign and malignant tumours. The state-of-the-art, the main challenges still to overcome and potential solutions are outlined. Specifically, this work investigates the benefit of signal pre-processing on diagnostic performance, and proposes a new set of extracted features that capture the tumour shape information embedded in a signal. This work also investigates if a relationship exists between the antenna topology in a microwave system and diagnostic performance. Finally, a careful machine learning validation methodology is implemented to guarantee the robustness of the results and the accuracy of performance evaluation.

Evolution and Revolution of Adult Learning: Exposition of Open and Distance Learning in Nigeria

ERIC Educational Resources Information Center

Umezulike, Nneka A.

2015-01-01

The educational system has witnessed a number of laudable programs since inception in both formal and non-formal systems of education programs that were set up to empower adult educational skills, knowledge, decision-making processes.Correspondence education transformed into distance education which--with the advent of information and…

Coordinating Decentralized Learning and Conflict Resolution across Agent Boundaries

ERIC Educational Resources Information Center

Cheng, Shanjun

2012-01-01

It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems because of scalability, partial information accessibility and complex interaction of agents. It is a challenge for agents to learn good policies, when they need to plan and…

Axis: Generating Explanations at Scale with Learnersourcing and Machine Learning

ERIC Educational Resources Information Center

Williams, Joseph Jay; Kim, Juho; Rafferty, Anna; Heffernan, Neil; Maldonado, Samuel; Gajos, Krzysztof Z.; Lasecki, Walter S.; Heffernan, Neil

2016-01-01

While explanations may help people learn by providing information about why an answer is correct, many problems on online platforms lack high-quality explanations. This paper presents AXIS (Adaptive eXplanation Improvement System), a system for obtaining explanations. AXIS asks learners to generate, revise, and evaluate explanations as they solve…

How Do Students Regulate their Learning of Complex Systems with Hypermedia?.

ERIC Educational Resources Information Center

Azevedo, Roger; Seibert, Diane; Guthrie, John T.; Cromley, Jennifer G.; Wang, Huei-yu; Tron, Myriam

This study examined the role of different goal-setting instructional interventions in facilitating students' shift to more sophisticated mental models of the circulatory system as indicated by both performance and process data. Researchers adopted the information processing model of self-regulated learning of P. Winne and colleagues (1998, 2001)…

Using a User-Interactive QA System for Personalized E-Learning

ERIC Educational Resources Information Center

Hu, Dawei; Chen, Wei; Zeng, Qingtian; Hao, Tianyong; Min, Feng; Wenyin, Liu

2008-01-01

A personalized e-learning framework based on a user-interactive question-answering (QA) system is proposed, in which a user-modeling approach is used to capture personal information of students and a personalized answer extraction algorithm is proposed for personalized automatic answering. In our approach, a topic ontology (or concept hierarchy)…

Secondary Teachers' Concerns in Adopting Learning Management Systems: A U.S. Perspective

ERIC Educational Resources Information Center

Lochner, Bianca; Conrad, Rita-Marie; Graham, Edward

2015-01-01

This study examined the concerns of U.S. secondary teachers regarding the adoption of learning management systems (LMSs) utilizing the concerns-based adoption model (CBAM). The stages of concern questionnaire used enabled the strength of teacher concerns to be measured for seven distinct stages of concerns: awareness, informational, personal,…

A Web-Based Tutor for Java™: Evidence of Meaningful Learning

ERIC Educational Resources Information Center

Emurian, Henry H.

2006-01-01

Students in a graduate class and an undergraduate class in Information Systems completed a Web-based programmed instruction tutor that taught a simple Java applet as the first technical training exercise in a computer programming course. The tutor is a competency-based instructional system for individualized distance learning. When a student…

The Design and Development of Identification of Students' Misconceptions in Individualized Learning Environment (iSMILE) System

ERIC Educational Resources Information Center

Bhagat, Kaushal Kumar; Subheesh, N. P.; Bhattacharya, Bani; Chang, Chun-Yen

2017-01-01

With the rapid development of technology, incorporation of Information Communication Technology (ICT) for formative assessment purpose has been increasing over the past decade. This article describes the design and development of identification of students' misconceptions in an individualized learning environment (iSMILE) system that includes…

Creating Hybrid Learning Experiences in Robotics: Implications for Supporting Teaching and Learning

ERIC Educational Resources Information Center

Frerichs, Saundra Wever; Barker, Bradley; Morgan, Kathy; Patent-Nygren, Megan; Rezac, Micaela

2012-01-01

Geospatial and Robotics Technologies for the 21st Century (GEAR-Tech-21), teaches science, technology, engineering and mathematics (STEM) through robotics, global positioning systems (GPS), and geographic information systems (GIS) activities for youth in grades 5-8. Participants use a robotics kit, handheld GPS devices, and GIS technology to…

System for Training Aviation Regulations (STAR): Using Multiple Vantage Points To Learn Complex Information through Scenario-Based Instruction and Multimedia Techniques.

ERIC Educational Resources Information Center

Chandler, Terrell N.

1996-01-01

The System for Training of Aviation Regulations (STAR) provides comprehensive training in understanding and applying Federal aviation regulations. STAR gives multiple vantage points with multimedia presentations and storytelling within four categories of learning environments: overviews, scenarios, challenges, and resources. Discusses the…

The Effects of a Concept Map-Based Information Display in an Electronic Portfolio System on Information Processing and Retention in a Fifth-Grade Science Class Covering the Earth's Atmosphere

ERIC Educational Resources Information Center

Kim, Paul; Olaciregui, Claudia

2008-01-01

An electronic portfolio system, designed to serve as a resource-based learning space, was tested in a fifth-grade science class. The control-group students accessed a traditional folder-based information display in the system and the experimental-group students accessed a concept map-based information display to review a science portfolio. The…

The evolution of educational information systems and nurse faculty roles.

PubMed

Nelson, Ramona; Meyers, Linda; Rizzolo, Mary Anne; Rutar, Pamela; Proto, Marcia B; Newbold, Susan

2006-01-01

Institutions of higher education are purchasing and/or designing sophisticated administrative information systems to manage such functions as the application, admissions, and registration process, grants management, student records, and classroom scheduling. Although faculty also manage large amounts of data, few automated systems have been created to help faculty improve teaching and learning through the management of information related to individual students, the curriculum, educational programs, and program evaluation. This article highlights the potential benefits that comprehensive educational information systems offer nurse faculty.

[Hygiene requirements for the level of intellectual intensivity loads in foreign language learning].

PubMed

Ivashchenko, S N

2013-01-01

The material of this article provides information about the basics of hygiene conditions and nature of intellectual loads of students of secondary schools in the perception of information in a foreign language. Are the most favorable conditions for the successful training of perception and assimilation of information supplied in the course of the learning process in one foreign language or some more different ones? It was found that the process of perception and assimilation of educational information in foreign languages is associated with some degree of mental and emotional stress of students. At the same time, the effectiveness of the learning process depends on the degree of stress. Certain parameters of the psychological and emotional stress students usually have a stimulating effect on their central nervous system. Another level, the psychological and emotional stress of students on the contrary, causes a braking effect of functional activity of the relevant structures of the central nervous system of students and reduces the effectiveness of training.

The influence of subjective norm on intention to use of learning management system among Malaysian higher education students

NASA Astrophysics Data System (ADS)

Baleghi-Zadeh, Sousan; Ayub, Ahmad Fauzi Mohd; Mahmud, Rosnaini; Daud, Shaffe Mohd

2014-12-01

In recent years, the use of learning management system by universities has been increasingly growing. However, the results of several studies have revealed that students do not fully use the information systems. The present study proposes a model which investigates the influence of three constructs of perceived ease of use, perceived usefulness, and subjective norm on behavior intention to use of learning management system. The sample size was 216 Malaysian undergraduate students. The results of the study revealed that the proposed model accounts for 31.1 % variance of behavior intention to use.

[Transposition errors during learning to reproduce a sequence by the right- and the left-hand movements: simulation of positional and movement coding].

PubMed

Liakhovetskiĭ, V A; Bobrova, E V; Skopin, G N

2012-01-01

Transposition errors during the reproduction of a hand movement sequence make it possible to receive important information on the internal representation of this sequence in the motor working memory. Analysis of such errors showed that learning to reproduce sequences of the left-hand movements improves the system of positional coding (coding ofpositions), while learning of the right-hand movements improves the system of vector coding (coding of movements). Learning of the right-hand movements after the left-hand performance involved the system of positional coding "imposed" by the left hand. Learning of the left-hand movements after the right-hand performance activated the system of vector coding. Transposition errors during learning to reproduce movement sequences can be explained by neural network using either vector coding or both vector and positional coding.

Towards a general theory of neural computation based on prediction by single neurons.

PubMed

Fiorillo, Christopher D

2008-10-01

Although there has been tremendous progress in understanding the mechanics of the nervous system, there has not been a general theory of its computational function. Here I present a theory that relates the established biophysical properties of single generic neurons to principles of Bayesian probability theory, reinforcement learning and efficient coding. I suggest that this theory addresses the general computational problem facing the nervous system. Each neuron is proposed to mirror the function of the whole system in learning to predict aspects of the world related to future reward. According to the model, a typical neuron receives current information about the state of the world from a subset of its excitatory synaptic inputs, and prior information from its other inputs. Prior information would be contributed by synaptic inputs representing distinct regions of space, and by different types of non-synaptic, voltage-regulated channels representing distinct periods of the past. The neuron's membrane voltage is proposed to signal the difference between current and prior information ("prediction error" or "surprise"). A neuron would apply a Hebbian plasticity rule to select those excitatory inputs that are the most closely correlated with reward but are the least predictable, since unpredictable inputs provide the neuron with the most "new" information about future reward. To minimize the error in its predictions and to respond only when excitation is "new and surprising," the neuron selects amongst its prior information sources through an anti-Hebbian rule. The unique inputs of a mature neuron would therefore result from learning about spatial and temporal patterns in its local environment, and by extension, the external world. Thus the theory describes how the structure of the mature nervous system could reflect the structure of the external world, and how the complexity and intelligence of the system might develop from a population of undifferentiated neurons, each implementing similar learning algorithms.

Support of an Active Science Project by a Large Information System: Lessons for the EOS Era

NASA Technical Reports Server (NTRS)

Angelici, Gary L.; Skiles, J. W.; Popovici, Lidia Z.

1993-01-01

The ability of large information systems to support the changing data requirements of active science projects is being tested in a NASA collaborative study. This paper briefly profiles both the active science project and the large information system involved in this effort and offers some observations about the effectiveness of the project support. This is followed by lessons that are important for those participating in large information systems that need to support active science projects or that make available the valuable data produced by these projects. We learned in this work that it is difficult for a large information system focused on long term data management to satisfy the requirements of an on-going science project. For example, in order to provide the best service, it is important for all information system staff to keep focused on the needs and constraints of the scientists in the development of appropriate services. If the lessons learned in this and other science support experiences are not applied by those involved with large information systems of the EOS (Earth Observing System) era, then the final data products produced by future science projects may not be robust or of high quality, thereby making the conduct of the project science less efficacious and reducing the value of these unique suites of data for future research.

Diffusion of Innovations Approach to the Evaluation of Learning Management System Usage in an Open Distance Learning Institution

ERIC Educational Resources Information Center

Mkhize, Peter; Mtsweni, Samuel; Buthelezi, Portia

2016-01-01

Academic institutions such as the University of South Africa (Unisa) are using information and communication technology (ICT) in order to conduct their daily primary operations, which are teaching and learning. Unisa is the only distance learning university in South Africa and also in Africa. Unisa currently has the highest number of students on…

Global Higher Education in Need of More and Better Learning Metrics. Why OECD's AHELO Project Might Help to Fill the Gap

ERIC Educational Resources Information Center

Van Damme, Dirk

2015-01-01

In this paper, I argue for more and better learning metrics in higher education, eventually through an international, comparative assessment of students' learning outcomes. Better learning measures may help to improve transparency in the system by addressing the information asymmetry problem. If not addressed adequately, the lack of transparency…

An Assessment of Feedback Procedures and Information Provided to Instructors within Computer Managed Learning Environments--Implications for Instruction and Software Redesign.

ERIC Educational Resources Information Center

Kotesky, Arturo A.

Feedback procedures and information provided to instructors within computer managed learning environments were assessed to determine current usefulness and meaningfulness to users, and to present the design of a different instructor feedback instrument. Kaufman's system model was applied to accomplish the needs assessment phase of the study; and…

Using Systemic and Psychodynamic Psychotherapy with a Couple in a Community Learning Disabilities Context: A Case Study

ERIC Educational Resources Information Center

Barnes, Jennifer Clare; Summers, S. J.

2012-01-01

This paper describes the process of couple therapy with a client who has a mild learning disability and cerebral palsy, and her partner, who also has cerebral palsy (all information has been anonymised and pseudonyms are used throughout). Informed consent was gained from both individuals for the purposes of writing about their case. Therapy…

Intervening in Informal Learning: Activity Theory as Teaching Tool

ERIC Educational Resources Information Center

Carter, Susan L.

2013-01-01

In this article, I argue that a concentrated focus on everyday informal learning about unions is critical not only to re-thinking union education programs, but to the overall project of union renewal. The article offers, by way of example, an inquiry into the grievance system as a routine (and central) union practice and a key site of informal…

A Calendar Savant with Episodic Memory Impairments

PubMed Central

Olson, Ingrid R.; Berryhill, Marian E.; Drowos, David B.; Brown, Lawrence; Chatterjee, Anjan

2010-01-01

Patients with memory disorders have severely restricted learning and memory. For instance, patients with anterograde amnesia can learn motor procedures as well as retaining some restricted ability to learn new words and factual information. However, such learning is inflexible and frequently inaccessible to conscious awareness. Here we present a case of patient AC596, a 25-year old male with severe episodic memory impairments, presumably due to anoxia during a preterm birth. In contrast to his poor episodic memory, he exhibits savant-like memory for calendar information that can be flexibly accessed by day, month, and year cues. He also has the ability to recollect the exact date of a wide range of personal experiences over the past 20 years. The patient appears to supplement his generally poor episodic memory by using memorized calendar information as a retrieval cue for autobiographical events. These findings indicate that islands of preserved memory functioning, such as a highly developed semantic memory system, can exist in individuals with severely impaired episodic memory systems. In this particular case, our patient’s memory for dates far outstripped that of normal individuals and served as a keen retrieval cue, allowing him to access information that was otherwise unavailable. PMID:20104390

A mobile Nursing Information System based on human-computer interaction design for improving quality of nursing.

PubMed

Su, Kuo-Wei; Liu, Cheng-Li

2012-06-01

A conventional Nursing Information System (NIS), which supports the role of nurse in some areas, is typically deployed as an immobile system. However, the traditional information system can't response to patients' conditions in real-time, causing delays on the availability of this information. With the advances of information technology, mobile devices are increasingly being used to extend the human mind's limited capacity to recall and process large numbers of relevant variables and to support information management, general administration, and clinical practice. Unfortunately, there have been few studies about the combination of a well-designed small-screen interface with a personal digital assistant (PDA) in clinical nursing. Some researchers found that user interface design is an important factor in determining the usability and potential use of a mobile system. Therefore, this study proposed a systematic approach to the development of a mobile nursing information system (MNIS) based on Mobile Human-Computer Interaction (M-HCI) for use in clinical nursing. The system combines principles of small-screen interface design with user-specified requirements. In addition, the iconic functions were designed with metaphor concept that will help users learn the system more quickly with less working-memory. An experiment involving learnability testing, thinking aloud and a questionnaire investigation was conducted for evaluating the effect of MNIS on PDA. The results show that the proposed MNIS is good on learning and higher satisfaction on symbol investigation, terminology and system information.

Assessment of Web-Based Authentication Methods in the U.S.: Comparing E-Learning Systems to Internet Healthcare Information Systems

ERIC Educational Resources Information Center

Mattord, Herbert J.

2012-01-01

Organizations continue to rely on password-based authentication methods to control access to many Web-based systems. This research study developed a benchmarking instrument intended to assess authentication methods used in Web-based information systems (IS). It developed an Authentication Method System Index (AMSI) to analyze collected data from…

Vocal learning in elephants: neural bases and adaptive context

PubMed Central

Stoeger, Angela S; Manger, Paul

2014-01-01

In the last decade clear evidence has accumulated that elephants are capable of vocal production learning. Examples of vocal imitation are documented in African (Loxodonta africana) and Asian (Elephas maximus) elephants, but little is known about the function of vocal learning within the natural communication systems of either species. We are also just starting to identify the neural basis of elephant vocalizations. The African elephant diencephalon and brainstem possess specializations related to aspects of neural information processing in the motor system (affecting the timing and learning of trunk movements) and the auditory and vocalization system. Comparative interdisciplinary (from behavioral to neuroanatomical) studies are strongly warranted to increase our understanding of both vocal learning and vocal behavior in elephants. PMID:25062469

Significance of informal (on-the-job) learning and leadership development in health systems: lessons from a district finance team in South Africa

PubMed Central

Choonara, S; Goudge, J; Nxumalo, N; Eyles, J

2017-01-01

Background The district health system (DHS) has a critical role to play in the delivery of primary healthcare (PHC). Effective district management, particularly leadership is considered to be crucial element of the DHS. Internationally, the debate around developing leadership competencies such as motivation or empowerment of staff, managing relationships, being solution driven as well as fostering teamwork are argued to be possible through approaches such as formal and informal training. Despite growing multidisciplinary evidence in fields such as engineering, computer sciences and health sciences there remains little empirical evidence of these approaches, especially the informal approach. Findings are based on a broader doctoral thesis which explored district financial management; although the core focus of this paper draws attention to the significance of informal learning and its practical value in developing leadership competencies. Methods A qualitative case study was conducted in one district in the Gauteng province, South Africa. Purposive and snowballing techniques yielded a sample of 18 participants, primarily based at a district level. Primary data collected through in-depth interviews and observations (participant and non-participant) were analysed using thematic analysis. Findings Results indicate the sorts of complexities, particularly financial management challenges which staff face and draws attention to the use of two informal learning strategies—learning from others (how to communicate, delegate) and fostering team-based learning. Such strategies played a role in developing a cadre of leaders at a district level who displayed essential competencies such as motivating staff, and problem solving. Conclusions It is crucial for health systems, especially those in financially constrained settings to find cost-effective ways to develop leadership competencies such as being solution driven or motivating and empowering staff. This study illustrates that it is possible to develop such competencies through creating and nurturing a learning environment (on-the-job training) which could be incorporated into everyday practice. PMID:28588998

Significance of informal (on-the-job) learning and leadership development in health systems: lessons from a district finance team in South Africa.

PubMed

Choonara, S; Goudge, J; Nxumalo, N; Eyles, J

2017-01-01

The district health system (DHS) has a critical role to play in the delivery of primary healthcare (PHC). Effective district management, particularly leadership is considered to be crucial element of the DHS. Internationally, the debate around developing leadership competencies such as motivation or empowerment of staff, managing relationships, being solution driven as well as fostering teamwork are argued to be possible through approaches such as formal and informal training. Despite growing multidisciplinary evidence in fields such as engineering, computer sciences and health sciences there remains little empirical evidence of these approaches, especially the informal approach. Findings are based on a broader doctoral thesis which explored district financial management; although the core focus of this paper draws attention to the significance of informal learning and its practical value in developing leadership competencies. A qualitative case study was conducted in one district in the Gauteng province, South Africa. Purposive and snowballing techniques yielded a sample of 18 participants, primarily based at a district level. Primary data collected through in-depth interviews and observations (participant and non-participant) were analysed using thematic analysis. Results indicate the sorts of complexities, particularly financial management challenges which staff face and draws attention to the use of two informal learning strategies-learning from others (how to communicate, delegate) and fostering team-based learning. Such strategies played a role in developing a cadre of leaders at a district level who displayed essential competencies such as motivating staff, and problem solving. It is crucial for health systems, especially those in financially constrained settings to find cost-effective ways to develop leadership competencies such as being solution driven or motivating and empowering staff. This study illustrates that it is possible to develop such competencies through creating and nurturing a learning environment (on-the-job training) which could be incorporated into everyday practice.

MAVEN Information Security Governance, Risk Management, and Compliance (GRC): Lessons Learned

NASA Technical Reports Server (NTRS)

Takamura, Eduardo; Gomez-Rosa, Carlos A.; Mangum, Kevin; Wasiak, Fran

2014-01-01

As the first interplanetary mission managed by the NASA Goddard Space Flight Center, the Mars Atmosphere and Volatile EvolutioN (MAVEN) had three IT security goals for its ground system: COMPLIANCE, (IT) RISK REDUCTION, and COST REDUCTION. In a multiorganizational environment in which government, industry and academia work together in support of the ground system and mission operations, information security governance, risk management, and compliance (GRC) becomes a challenge as each component of the ground system has and follows its own set of IT security requirements. These requirements are not necessarily the same or even similar to each other's, making the auditing of the ground system security a challenging feat. A combination of standards-based information security management based on the National Institute of Standards and Technology (NIST) Risk Management Framework (RMF), due diligence by the Mission's leadership, and effective collaboration among all elements of the ground system enabled MAVEN to successfully meet NASA's requirements for IT security, and therefore meet Federal Information Security Management Act (FISMA) mandate on the Agency. Throughout the implementation of GRC on MAVEN during the early stages of the mission development, the Project faced many challenges some of which have been identified in this paper. The purpose of this paper is to document these challenges, and provide a brief analysis of the lessons MAVEN learned. The historical information documented herein, derived from an internal pre-launch lessons learned analysis, can be used by current and future missions and organizations implementing and auditing GRC.

Enhancing Student Learning across Disciplines: A Case Example Using a Systems Analysis and Design Course for MIS and ACS Majors

ERIC Educational Resources Information Center

Surendran, Ken; Ehie, Ike C.; Somarajan, Chellappan

2005-01-01

This paper illustrates an approach used to enhance student learning outcomes in a combined cross-listed Systems Analysis and Design (SA&D) course and examines benefits perceived by students through analysis of assessment and students feedback. The SA&D course is a required course in both the Management Information Systems (MIS) major and the…

Proceedings of the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (11th, Porto, Portugal, October 25-27, 2014)

ERIC Educational Resources Information Center

Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed.

2014-01-01

These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…

Intelligence Virtual Analyst Capability: Governing Concepts and Science and Technology Roadmap

DTIC Science & Technology

2014-12-01

system’s perspective. That is to say : what is the information the user needs to achieve his tasks and objective; and what information does the system need...be able to learn from demonstration, which is to say by looking at examples of how a given task is usually performed. Learning is an important part...address, and phone number. Finally it can also include biometric and genetic information such as face attributes, fingerprints, handwriting , DNA. Time

Solving the Shortage of STEM Personnel in Navy Laboratories: Strategic Plan for Navy Investments in STEM Education Targeted at the Navy After Next

DTIC Science & Technology

2009-06-01

mote interactions among K12 school systems; 2- and 4-year colleges and universities; informal science education organizations; . . . to promote... Science Center Proposal As ‘ informal ’ education centers i.e., Science and Technology Centers provide learn- ing outside the classroom that enhances...and complements ‘formal’ (classroom-based) learning. Informal science education uses visual, auditory, physical interactions, and ac- tivities to

Information-driven self-organization: the dynamical system approach to autonomous robot behavior.

PubMed

Ay, Nihat; Bernigau, Holger; Der, Ralf; Prokopenko, Mikhail

2012-09-01

In recent years, information theory has come into the focus of researchers interested in the sensorimotor dynamics of both robots and living beings. One root for these approaches is the idea that living beings are information processing systems and that the optimization of these processes should be an evolutionary advantage. Apart from these more fundamental questions, there is much interest recently in the question how a robot can be equipped with an internal drive for innovation or curiosity that may serve as a drive for an open-ended, self-determined development of the robot. The success of these approaches depends essentially on the choice of a convenient measure for the information. This article studies in some detail the use of the predictive information (PI), also called excess entropy or effective measure complexity, of the sensorimotor process. The PI of a process quantifies the total information of past experience that can be used for predicting future events. However, the application of information theoretic measures in robotics mostly is restricted to the case of a finite, discrete state-action space. This article aims at applying the PI in the dynamical systems approach to robot control. We study linear systems as a first step and derive exact results for the PI together with explicit learning rules for the parameters of the controller. Interestingly, these learning rules are of Hebbian nature and local in the sense that the synaptic update is given by the product of activities available directly at the pertinent synaptic ports. The general findings are exemplified by a number of case studies. In particular, in a two-dimensional system, designed at mimicking embodied systems with latent oscillatory locomotion patterns, it is shown that maximizing the PI means to recognize and amplify the latent modes of the robotic system. This and many other examples show that the learning rules derived from the maximum PI principle are a versatile tool for the self-organization of behavior in complex robotic systems.

Teaching "with" Rather than "about" Geographic Information Systems

ERIC Educational Resources Information Center

Hammond, Thomas C.; Bodzin, Alec M.

2009-01-01

Both "teaching" and "teaching" with Geographic Information Systems (GIS) are "wicked problems," in the sense that they involve multiple variables that interact with one another. Effective teaching calls for both learning with understanding and transfer. The authors' own experience implementing a geography and…

Privacy Impact Assessment for the Las Vegas Finance Center Local Area Network

EPA Pesticide Factsheets

This system collects contact information and other Personally Identifiable Information (PII). Learn how this data will be collected in the system, how it will be used, access to the data, the purpose of data collection, and record retention policies.

Continuous executive function disruption interferes with application of an information integration categorization strategy.

PubMed

Miles, Sarah J; Matsuki, Kazunaga; Minda, John Paul

2014-07-01

Category learning is often characterized as being supported by two separate learning systems. A verbal system learns rule-defined (RD) categories that can be described using a verbal rule and relies on executive functions (EFs) to learn via hypothesis testing. A nonverbal system learns non-rule-defined (NRD) categories that cannot be described by a verbal rule and uses automatic, procedural learning. The verbal system is dominant in that adults tend to use it during initial learning but may switch to the nonverbal system when the verbal system is unsuccessful. The nonverbal system has traditionally been thought to operate independently of EFs, but recent studies suggest that EFs may play a role in the nonverbal system-specifically, to facilitate the transition away from the verbal system. Accordingly, continuously interfering with EFs during the categorization process, so that EFs are never fully available to facilitate the transition, may be more detrimental to the nonverbal system than is temporary EF interference. Participants learned an NRD or an RD category while EFs were untaxed, taxed temporarily, or taxed continuously. When EFs were continuously taxed during NRD categorization, participants were less likely to use a nonverbal categorization strategy than when EFs were temporarily taxed, suggesting that when EFs were unavailable, the transition to the nonverbal system was hindered. For the verbal system, temporary and continuous interference had similar effects on categorization performance and on strategy use, illustrating that EFs play an important but different role in each of the category-learning systems.

Research on cultivating medical students' self-learning ability using teaching system integrated with learning analysis technology.

PubMed

Luo, Hong; Wu, Cheng; He, Qian; Wang, Shi-Yong; Ma, Xiu-Qiang; Wang, Ri; Li, Bing; He, Jia

2015-01-01

Along with the advancement of information technology and the era of big data education, using learning process data to provide strategic decision-making in cultivating and improving medical students' self-learning ability has become a trend in educational research. Educator Abuwen Toffler said once, the illiterates in the future may not be the people not able to read and write, but not capable to know how to learn. Serving as educational institutions cultivating medical students' learning ability, colleges and universities should not only instruct specific professional knowledge and skills, but also develop medical students' self-learning ability. In this research, we built a teaching system which can help to restore medical students' self-learning processes and analyze their learning outcomes and behaviors. To evaluate the effectiveness of the system in supporting medical students' self-learning, an experiment was conducted in 116 medical students from two grades. The results indicated that problems in self-learning process through this system was consistent with problems raised from traditional classroom teaching. Moreover, the experimental group (using this system) acted better than control group (using traditional classroom teaching) to some extent. Thus, this system can not only help medical students to develop their self-learning ability, but also enhances the ability of teachers to target medical students' questions quickly, improving the efficiency of answering questions in class.

Broadening conceptions of learning in medical education: the message from teamworking.

PubMed

Bleakley, Alan

2006-02-01

There is a mismatch between the broad range of learning theories offered in the wider education literature and a relatively narrow range of theories privileged in the medical education literature. The latter are usually described under the heading of 'adult learning theory'. This paper critically addresses the limitations of the current dominant learning theories informing medical education. An argument is made that such theories, which address how an individual learns, fail to explain how learning occurs in dynamic, complex and unstable systems such as fluid clinical teams. Models of learning that take into account distributed knowing, learning through time as well as space, and the complexity of a learning environment including relationships between persons and artefacts, are more powerful in explaining and predicting how learning occurs in clinical teams. Learning theories may be privileged for ideological reasons, such as medicine's concern with autonomy. Where an increasing amount of medical education occurs in workplace contexts, sociocultural learning theories offer a best-fit exploration and explanation of such learning. We need to continue to develop testable models of learning that inform safe work practice. One type of learning theory will not inform all practice contexts and we need to think about a range of fit-for-purpose theories that are testable in practice. Exciting current developments include dynamicist models of learning drawing on complexity theory.

Healthcare System Information at Language Schools for Newly Arrived Immigrants: A Pertinent Setting in Times of Austerity

ERIC Educational Resources Information Center

Tynell, Lena Lyngholt; Wimmelmann, Camilla Lawaetz; Jervelund, Signe Smith

2017-01-01

Objective: In most European countries, immigrants do not systematically learn about the host countries' healthcare system when arriving. This study investigated how newly arrived immigrants perceived the information they received about the Danish healthcare system. Methods: Immigrants attending a language school in Copenhagen in 2012 received…

An information theoretic approach of designing sparse kernel adaptive filters.

PubMed

Liu, Weifeng; Park, Il; Principe, José C

2009-12-01

This paper discusses an information theoretic approach of designing sparse kernel adaptive filters. To determine useful data to be learned and remove redundant ones, a subjective information measure called surprise is introduced. Surprise captures the amount of information a datum contains which is transferable to a learning system. Based on this concept, we propose a systematic sparsification scheme, which can drastically reduce the time and space complexity without harming the performance of kernel adaptive filters. Nonlinear regression, short term chaotic time-series prediction, and long term time-series forecasting examples are presented.

Medical Devices Transition to Information Systems: Lessons Learned

PubMed Central

Charters, Kathleen G.

2012-01-01

Medical devices designed to network can share data with a Clinical Information System (CIS), making that data available within clinician workflow. Some lessons learned by transitioning anesthesia reporting and monitoring devices (ARMDs) on a local area network (LAN) to integration of anesthesia documentation within a CIS include the following categories: access, contracting, deployment, implementation, planning, security, support, training and workflow integration. Areas identified for improvement include: Vendor requirements for access reconciled with the organizations’ security policies and procedures. Include clauses supporting transition from stand-alone devices to information integrated into clinical workflow in the medical device procurement contract. Resolve deployment and implementation barriers that make the process less efficient and more costly. Include effective field communication and creative alternatives in planning. Build training on the baseline knowledge of trainees. Include effective help desk processes and metrics. Have a process for determining where problems originate when systems share information. PMID:24199054

KBGIS-II: A knowledge-based geographic information system

NASA Technical Reports Server (NTRS)

Smith, Terence; Peuquet, Donna; Menon, Sudhakar; Agarwal, Pankaj

1986-01-01

The architecture and working of a recently implemented Knowledge-Based Geographic Information System (KBGIS-II), designed to satisfy several general criteria for the GIS, is described. The system has four major functions including query-answering, learning and editing. The main query finds constrained locations for spatial objects that are describable in a predicate-calculus based spatial object language. The main search procedures include a family of constraint-satisfaction procedures that use a spatial object knowledge base to search efficiently for complex spatial objects in large, multilayered spatial data bases. These data bases are represented in quadtree form. The search strategy is designed to reduce the computational cost of search in the average case. The learning capabilities of the system include the addition of new locations of complex spatial objects to the knowledge base as queries are answered, and the ability to learn inductively definitions of new spatial objects from examples. The new definitions are added to the knowledge base by the system. The system is performing all its designated tasks successfully. Future reports will relate performance characteristics of the system.

Web-Based Learning Information System for Web 3.0

NASA Astrophysics Data System (ADS)

Rego, Hugo; Moreira, Tiago; García-Peñalvo, Francisco Jose

With the emergence of Web/eLearning 3.0 we have been developing/adjusting AHKME in order to face this great challenge. One of our goals is to allow the instructional designer and teacher to access standardized resources and evaluate the possibility of integration and reuse in eLearning systems, not only content but also the learning strategy. We have also integrated some collaborative tools for the adaptation of resources, as well as the collection of feedback from users to provide feedback to the system. We also provide tools for the instructional designer to create/customize specifications/ontologies to give structure and meaning to resources, manual and automatic search with recommendation of resources and instructional design based on the context, as well as recommendation of adaptations in learning resources. We also consider the concept of mobility and mobile technology applied to eLearning, allowing access by teachers and students to learning resources, regardless of time and space.

Leadership Perspectives on Operationalizing the Learning Health Care System in an Integrated Delivery System.

PubMed

Psek, Wayne; Davis, F Daniel; Gerrity, Gloria; Stametz, Rebecca; Bailey-Davis, Lisa; Henninger, Debra; Sellers, Dorothy; Darer, Jonathan

2016-01-01

Healthcare leaders need operational strategies that support organizational learning for continued improvement and value generation. The learning health system (LHS) model may provide leaders with such strategies; however, little is known about leaders' perspectives on the value and application of system-wide operationalization of the LHS model. The objective of this project was to solicit and analyze senior health system leaders' perspectives on the LHS and learning activities in an integrated delivery system. A series of interviews were conducted with 41 system leaders from a broad range of clinical and administrative areas across an integrated delivery system. Leaders' responses were categorized into themes. Ten major themes emerged from our conversations with leaders. While leaders generally expressed support for the concept of the LHS and enhanced system-wide learning, their concerns and suggestions for operationalization where strongly aligned with their functional area and strategic goals. Our findings suggests that leaders tend to adopt a very pragmatic approach to learning. Leaders expressed a dichotomy between the operational imperative to execute operational objectives efficiently and the need for rigorous evaluation. Alignment of learning activities with system-wide strategic and operational priorities is important to gain leadership support and resources. Practical approaches to addressing opportunities and challenges identified in the themes are discussed. Continuous learning is an ongoing, multi-disciplinary function of a health care delivery system. Findings from this and other research may be used to inform and prioritize system-wide learning objectives and strategies which support reliable, high value care delivery.

The relationship of learning motivation, achievement and satisfaction for nurses learning simple excel VBA information systems programming.

PubMed

Lee, Ying Li; Chien, Tsai Feng; Kuo, Ming Chuan; Chang, Polun

2014-01-01

This study aims to understand the relationship between participating nurses' motivation, achievement and satisfaction before and after they learned to program in Excel Visual Basic for Applications (Excel VBA). We held a workshop to train nurses in developing simple Excel VBA information systems to support their clinical or administrative practices. Before and after the workshop, the participants were evaluated on their knowledge of Excel VBA, and a questionnaire was given to survey their learning motivation and satisfaction. Statistics softwares Winsteps and SPSS were used for data analysis. Results show that the participants are more knowledgeable about VBA as well as more motivated in learning VBA after the workshop. Participants were highly satisfied with the overall arrangement of the workshop and instructors, but didn't have enough confidence in promoting the application of Excel VBA themselves. In addition, we were unable to predict the participants' achievement by their demographic characteristics or pre-test motivation level.

Surgical innovation: the ethical agenda: A systematic review.

PubMed

Broekman, Marike L; Carrière, Michelle E; Bredenoord, Annelien L

2016-06-01

The aim of the present article was to systematically review the ethics of surgical innovation and introduce the components of the learning health care system to guide future research and debate on surgical innovation.Although the call for evidence-based practice in surgery is increasingly high on the agenda, most surgeons feel that the format of the randomized controlled trial is not suitable for surgery. Innovation in surgery has aspects of, but should be distinguished from both research and clinical care and raises its own ethical challenges.To answer the question "What are the main ethical aspects of surgical innovation?", we systematically searched PubMed and Embase. Papers expressing an opinion, point of view, or position were included, that is, normative ethical papers.We included 59 studies discussing ethical aspects of surgical innovation. These studies discussed 4 major themes: oversight, informed consent, learning curve, and vulnerable patient groups. Although all papers addressed the ethical challenges raised by surgical innovation, surgeons hold no uniform view of surgical innovation, and there is no agreement on the distinction between innovation and research. Even though most agree to some sort of oversight, they offer different alternatives ranging from the formation of new surgical innovation committees to establishing national registries. Most agree that informed consent is necessary for innovative procedures and that surgeons should be adequately trained to assure their competence to tackle the learning curve problem. All papers agree that in case of vulnerable patients, alternatives must be found for the informed consent procedure.We suggest that the concept of the learning health care system might provide guidance for thinking about surgical innovation. The underlying rationale of the learning health care system is to improve the quality of health care by embedding research within clinical care. Two aspects of a learning health care system might particularly enrich the necessary future discussion on surgical innovation: integration of research and practice and a moral emphasis on "learning activities." Future research should evaluate whether the learning health care system and its adjacent moral framework provides ethical guidance for evidence-based surgery.

Gaussian Processes for Data-Efficient Learning in Robotics and Control.

PubMed

Deisenroth, Marc Peter; Fox, Dieter; Rasmussen, Carl Edward

2015-02-01

Autonomous learning has been a promising direction in control and robotics for more than a decade since data-driven learning allows to reduce the amount of engineering knowledge, which is otherwise required. However, autonomous reinforcement learning (RL) approaches typically require many interactions with the system to learn controllers, which is a practical limitation in real systems, such as robots, where many interactions can be impractical and time consuming. To address this problem, current learning approaches typically require task-specific knowledge in form of expert demonstrations, realistic simulators, pre-shaped policies, or specific knowledge about the underlying dynamics. In this paper, we follow a different approach and speed up learning by extracting more information from data. In particular, we learn a probabilistic, non-parametric Gaussian process transition model of the system. By explicitly incorporating model uncertainty into long-term planning and controller learning our approach reduces the effects of model errors, a key problem in model-based learning. Compared to state-of-the art RL our model-based policy search method achieves an unprecedented speed of learning. We demonstrate its applicability to autonomous learning in real robot and control tasks.

Selecting a Laboratory Information Management System for Biorepositories in Low- and Middle-Income Countries: The H3Africa Experience and Lessons Learned

PubMed Central

Musinguzi, Henry; Lwanga, Newton; Kezimbira, Dafala; Kigozi, Edgar; Katabazi, Fred Ashaba; Wayengera, Misaki; Joloba, Moses Lutaakome; Abayomi, Emmanuel Akin; Swanepoel, Carmen; Croxton, Talishiea; Ozumba, Petronilla; Thankgod, Anazodo; van Zyl, Lizelle; Mayne, Elizabeth Sarah; Kader, Mukthar; Swartz, Garth

2017-01-01

Biorepositories in Africa need significant infrastructural support to meet International Society for Biological and Environmental Repositories (ISBER) Best Practices to support population-based genomics research. ISBER recommends a biorepository information management system which can manage workflows from biospecimen receipt to distribution. The H3Africa Initiative set out to develop regional African biorepositories where Uganda, Nigeria, and South Africa were successfully awarded grants to develop the state-of-the-art biorepositories. The biorepositories carried out an elaborate process to evaluate and choose a laboratory information management system (LIMS) with the aim of integrating the three geographically distinct sites. In this article, we review the processes, African experience, lessons learned, and make recommendations for choosing a biorepository LIMS in the African context.

3D interactive augmented reality-enhanced digital learning systems for mobile devices

NASA Astrophysics Data System (ADS)

Feng, Kai-Ten; Tseng, Po-Hsuan; Chiu, Pei-Shuan; Yang, Jia-Lin; Chiu, Chun-Jie

2013-03-01

With enhanced processing capability of mobile platforms, augmented reality (AR) has been considered a promising technology for achieving enhanced user experiences (UX). Augmented reality is to impose virtual information, e.g., videos and images, onto a live-view digital display. UX on real-world environment via the display can be e ectively enhanced with the adoption of interactive AR technology. Enhancement on UX can be bene cial for digital learning systems. There are existing research works based on AR targeting for the design of e-learning systems. However, none of these work focuses on providing three-dimensional (3-D) object modeling for en- hanced UX based on interactive AR techniques. In this paper, the 3-D interactive augmented reality-enhanced learning (IARL) systems will be proposed to provide enhanced UX for digital learning. The proposed IARL systems consist of two major components, including the markerless pattern recognition (MPR) for 3-D models and velocity-based object tracking (VOT) algorithms. Realistic implementation of proposed IARL system is conducted on Android-based mobile platforms. UX on digital learning can be greatly improved with the adoption of proposed IARL systems.

Rationale and methodology of a collaborative learning project in congenital cardiac care

PubMed Central

Wolf, Michael J.; Lee, Eva K.; Nicolson, Susan C.; Pearson, Gail D.; Witte, Madolin K.; Huckaby, Jeryl; Gaies, Michael; Shekerdemian, Lara S.; Mahle, William T.

2018-01-01

Background Collaborative learning is a technique through which individuals or teams learn together by capitalizing on one another’s knowledge, skills, resources, experience, and ideas. Clinicians providing congenital cardiac care may benefit from collaborative learning given the complexity of the patient population and team approach to patient care. Rationale and development Industrial system engineers first performed broad-based time-motion and process analyses of congenital cardiac care programs at 5 Pediatric Heart Network core centers. Rotating multidisciplinary team site visits to each center were completed to facilitate deep learning and information exchange. Through monthly conference calls and an in-person meeting, we determined that duration of mechanical ventilation following infant cardiac surgery was one key variation that could impact a number of clinical outcomes. This was underscored by one participating center’s practice of early extubation in the majority of its patients. A consensus clinical practice guideline using collaborative learning was developed and implemented by multidisciplinary teams from the same 5 centers. The 1-year prospective initiative was completed in May 2015, and data analysis is under way. Conclusion Collaborative learning that uses multidisciplinary team site visits and information sharing allows for rapid structured fact-finding and dissemination of expertise among institutions. System modeling and machine learning approaches objectively identify and prioritize focused areas for guideline development. The collaborative learning framework can potentially be applied to other components of congenital cardiac care and provide a complement to randomized clinical trials as a method to rapidly inform and improve the care of children with congenital heart disease. PMID:26995379

Rationale and methodology of a collaborative learning project in congenital cardiac care.

PubMed

Wolf, Michael J; Lee, Eva K; Nicolson, Susan C; Pearson, Gail D; Witte, Madolin K; Huckaby, Jeryl; Gaies, Michael; Shekerdemian, Lara S; Mahle, William T

2016-04-01

Collaborative learning is a technique through which individuals or teams learn together by capitalizing on one another's knowledge, skills, resources, experience, and ideas. Clinicians providing congenital cardiac care may benefit from collaborative learning given the complexity of the patient population and team approach to patient care. Industrial system engineers first performed broad-based time-motion and process analyses of congenital cardiac care programs at 5 Pediatric Heart Network core centers. Rotating multidisciplinary team site visits to each center were completed to facilitate deep learning and information exchange. Through monthly conference calls and an in-person meeting, we determined that duration of mechanical ventilation following infant cardiac surgery was one key variation that could impact a number of clinical outcomes. This was underscored by one participating center's practice of early extubation in the majority of its patients. A consensus clinical practice guideline using collaborative learning was developed and implemented by multidisciplinary teams from the same 5 centers. The 1-year prospective initiative was completed in May 2015, and data analysis is under way. Collaborative learning that uses multidisciplinary team site visits and information sharing allows for rapid structured fact-finding and dissemination of expertise among institutions. System modeling and machine learning approaches objectively identify and prioritize focused areas for guideline development. The collaborative learning framework can potentially be applied to other components of congenital cardiac care and provide a complement to randomized clinical trials as a method to rapidly inform and improve the care of children with congenital heart disease. Copyright © 2016 Elsevier Inc. All rights reserved.

Cognitive Theory within the Framework of an Information Processing Model and Learning Hierarchy: Viable Alternative to the Bloom-Mager System.

ERIC Educational Resources Information Center

Stahl, Robert J.

This review of the current status of the human information processing model presents the Stahl Perceptual Information Processing and Operations Model (SPInPrOM) as a model of how thinking, memory, and the processing of information take place within the individual learner. A related system, the Domain of Cognition, is presented as an alternative to…

The Collective Knowledge of Social Tags: Direct and Indirect Influences on Navigation, Learning, and Information Processing

ERIC Educational Resources Information Center

Cress, Ulrike; Held, Christoph; Kimmerle, Joachim

2013-01-01

Tag clouds generated in social tagging systems can capture the collective knowledge of communities. Using as a basis spreading activation theories, information foraging theory, and the co-evolution model of cognitive and social systems, we present here a model for an "extended information scent," which proposes that both collective and individual…

Student Learning and Performance in Information Systems Courses: The Role of Academic Motivation

ERIC Educational Resources Information Center

Herath, Tejaswini C.

2015-01-01

Despite the need for information technology knowledge in the business world today, enrollments in information systems (IS) courses have been consistently declining. Student performance in lower level IS courses and student assumptions about the level of difficulty of the courses seem to be reasons for lower enrollments. To understand how student…

Towards Networked Knowledge: The Learning Registry, an Infrastructure for Sharing Online Learning Resources

ERIC Educational Resources Information Center

Lee, Ashley; Hobson, Joe; Bienkowski, Marie; Midgley, Steve; Currier, Sarah; Campbell, Lorna M.; Novoselova, Tatiana

2012-01-01

In this article, the authors describe an open-source, open-data digital infrastructure for sharing information about open educational resources (OERs) across disparate systems and platforms. The Learning Registry, which began as a project funded by the U.S. Departments of Education and Defense, currently has an active international community…

Problem-Based Learning in Formal and Informal Learning Environments

ERIC Educational Resources Information Center

Shimic, Goran; Jevremovic, Aleksandar

2012-01-01

Problem-based learning (PBL) is a student-centered instructional strategy in which students solve problems and reflect on their experiences. Different domains need different approaches in the design of PBL systems. Therefore, we present one case study in this article: A Java Programming PBL. The application is developed as an additional module for…

Methods and Case Studies for Teaching and Learning about Failure and Safety.

ERIC Educational Resources Information Center

Bignell, Victor

1999-01-01

Discusses methods for analyzing case studies of failures of technological systems. Describes two distance learning courses that compare standard models of failure and success with the actuality of given scenarios. Provides teaching and learning materials and information sources for application to aspects of design, manufacture, inspection, use,…

Vibrant Student Voices: Exploring Effects of the Use of Clickers in Large College Courses

ERIC Educational Resources Information Center

Hoekstra, Angel

2008-01-01

Teachers have begun using student response systems (SRSs) in an effort to enhance the learning process in higher education courses. Research providing detailed information about how interactive technologies affect students as they learn is crucial for professors who seek to improve teaching quality, attendance rates and student learning. This…

Design, Implementation, and Evaluation of GIS-Based Learning Materials in an Introductory Geoscience Course.

ERIC Educational Resources Information Center

Hall-Wallace, Michelle K.; McAuliffe, Carla M.

2002-01-01

Investigates student learning that occurred with a Geographic Information Systems (GIS) based module on plate tectonics and geologic hazards. Examines factors in the design and implementation of the materials that impacted student learning. Reports positive correlations between student' spatial ability and performance. Includes 17 references.…

Lifting as We Climb: Developing Constellations of Learning within an Informal Online Radio Format

ERIC Educational Resources Information Center

Mistry, Margaret Egan

2012-01-01

This mixed-methods study combines the sociocultural theories of Vygotsky's research on thought and language, Mezirow's Transformational Learning Theory, situated learning theory of Rogoff, Lave, and Wenger, to explore individual and group process and resulting products within an online university radio station system. The study…

Suggestopedia and Soviet Sleep-Learning.

ERIC Educational Resources Information Center

Bancroft, W. Jane

This paper examines the parallels between suggestopedia and Soviet sleep-learning for learning foreign languages. Both systems are based on the idea that the acquisition of information can occur in states below the optimal level of consciousness. Hypnopedia makes use of the period of paradoxical or light sleep that usually occurs just as one is…

Choosing Learning Methods Suitable for Teaching and Learning in Computer Science

ERIC Educational Resources Information Center

Taylor, Estelle; Breed, Marnus; Hauman, Ilette; Homann, Armando

2013-01-01

Our aim is to determine which teaching methods students in Computer Science and Information Systems prefer. There are in total 5 different paradigms (behaviorism, cognitivism, constructivism, design-based and humanism) with 32 models between them. Each model is unique and states different learning methods. Recommendations are made on methods that…

"The Evolution of e-Learning in the Context of 3D Virtual Worlds"

ERIC Educational Resources Information Center

Kotsilieris, Theodore; Dimopoulou, Nikoletta

2013-01-01

Information and Communication Technologies (ICT) offer new approaches towards knowledge acquisition and collaboration through distance learning processes. Web-based Learning Management Systems (LMS) have transformed the way that education is conducted nowadays. At the same time, the adoption of Virtual Worlds in the educational process is of great…

Career Goal-Based E-Learning Recommendation Using Enhanced Collaborative Filtering and PrefixSpan

ERIC Educational Resources Information Center

Ma, Xueying; Ye, Lu

2018-01-01

This article describes how e-learning recommender systems nowadays have applied different kinds of techniques to recommend personalized learning content for users based on their preference, goals, interests and background information. However, the cold-start problem which exists in traditional recommendation algorithms are still left over in…

Lesson Learning at JPL

NASA Technical Reports Server (NTRS)

Oberhettinger, David

2011-01-01

A lessons learned system is a hallmark of a mature engineering organization A formal lessons learned process can help assure that valuable lessons get written and published, that they are well-written, and that the essential information is "infused" into institutional practice. Requires high-level institutional commitment, and everyone's participation in gathering, disseminating, and using the lessons

Categorical Structure among Shared Features in Networks of Early-Learned Nouns

ERIC Educational Resources Information Center

Hills, Thomas T.; Maouene, Mounir; Maouene, Josita; Sheya, Adam; Smith, Linda

2009-01-01

The shared features that characterize the noun categories that young children learn first are a formative basis of the human category system. To investigate the potential categorical information contained in the features of early-learned nouns, we examine the graph-theoretic properties of noun-feature networks. The networks are built from the…

An active role for machine learning in drug development

PubMed Central

Murphy, Robert F.

2014-01-01

Due to the complexity of biological systems, cutting-edge machine-learning methods will be critical for future drug development. In particular, machine-vision methods to extract detailed information from imaging assays and active-learning methods to guide experimentation will be required to overcome the dimensionality problem in drug development. PMID:21587249

Interface Metaphors for Interactive Machine Learning

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

Jasper, Robert J.; Blaha, Leslie M.

To promote more interactive and dynamic machine learn- ing, we revisit the notion of user-interface metaphors. User-interface metaphors provide intuitive constructs for supporting user needs through interface design elements. A user-interface metaphor provides a visual or action pattern that leverages a user’s knowledge of another domain. Metaphors suggest both the visual representations that should be used in a display as well as the interactions that should be afforded to the user. We argue that user-interface metaphors can also offer a method of extracting interaction-based user feedback for use in machine learning. Metaphors offer indirect, context-based information that can be usedmore » in addition to explicit user inputs, such as user-provided labels. Implicit information from user interactions with metaphors can augment explicit user input for active learning paradigms. Or it might be leveraged in systems where explicit user inputs are more challenging to obtain. Each interaction with the metaphor provides an opportunity to gather data and learn. We argue this approach is especially important in streaming applications, where we desire machine learning systems that can adapt to dynamic, changing data.« less

Peer Learning in an Introductory Programming Course.

ERIC Educational Resources Information Center

Lippert, Susan K.; Granger, Mary J.

The role of Information Systems within organizations is constantly changing. Undergraduates concentrating in Information Systems need to acquire the knowledge and skills to compete in this dynamic arena. The undergraduate curriculum must not only address technical knowledge, but also communications and collaborative skills necessary for…

A qualitative content analysis of global health engagements in Peacekeeping and Stability Operations Institute's stability operations lessons learned and information management system.

PubMed

Nang, Roberto N; Monahan, Felicia; Diehl, Glendon B; French, Daniel

2015-04-01

Many institutions collect reports in databases to make important lessons-learned available to their members. The Uniformed Services University of the Health Sciences collaborated with the Peacekeeping and Stability Operations Institute to conduct a descriptive and qualitative analysis of global health engagements (GHEs) contained in the Stability Operations Lessons Learned and Information Management System (SOLLIMS). This study used a summative qualitative content analysis approach involving six steps: (1) a comprehensive search; (2) two-stage reading and screening process to identify first-hand, health-related records; (3) qualitative and quantitative data analysis using MAXQDA, a software program; (4) a word cloud to illustrate word frequencies and interrelationships; (5) coding of individual themes and validation of the coding scheme; and (6) identification of relationships in the data and overarching lessons-learned. The individual codes with the most number of text segments coded included: planning, personnel, interorganizational coordination, communication/information sharing, and resources/supplies. When compared to the Department of Defense's (DoD's) evolving GHE principles and capabilities, the SOLLIMS coding scheme appeared to align well with the list of GHE capabilities developed by the Department of Defense Global Health Working Group. The results of this study will inform practitioners of global health and encourage additional qualitative analysis of other lessons-learned databases. Reprint & Copyright © 2015 Association of Military Surgeons of the U.S.

Web-Based Personalised System of Instruction: An Effective Approach for Diverse Cohorts with Virtual Learning Environments?

ERIC Educational Resources Information Center

Rae, Andrew; Samuels, Peter

2011-01-01

The Personalised System of Instruction is a form of mastery learning which, though it has been proven to be educationally effective, has never seriously challenged the dominant lecture-tutorial teaching method in higher education and has largely fallen into disuse. An information and communications technology assisted version of the Personalised…

Aging Affects Acquisition and Reversal of Reward-Based Associative Learning

ERIC Educational Resources Information Center

Weiler, Julia A.; Bellebaum, Christian; Daum, Irene

2008-01-01

Reward-based associative learning is mediated by a distributed network of brain regions that are dependent on the dopaminergic system. Age-related changes in key regions of this system, the striatum and the prefrontal cortex, may adversely affect the ability to use reward information for the guidance of behavior. The present study investigated the…

Game-Based Experiential Learning in Online Management Information Systems Classes Using Intel's IT Manager 3

ERIC Educational Resources Information Center

Bliemel, Michael; Ali-Hassan, Hossam

2014-01-01

For several years, we used Intel's flash-based game "IT Manager 3: Unseen Forces" as an experiential learning tool, where students had to act as a manager making real-time prioritization decisions about repairing computer problems, training and upgrading systems with better technologies as well as managing increasing numbers of technical…

The Current Ecosystem of Learning Management Systems in Higher Education: Student, Faculty, and IT Perspectives

ERIC Educational Resources Information Center

Dahlstrom, Eden; Brooks, D. Christopher; Bichsel, Jacqueline

2014-01-01

This study explores faculty and student perspectives on learning management systems (LMSs) in the context of current institutional investments. In 2013, nearly 800 institutions participated in the EDUCAUSE Core Data Service (CDS) survey, sharing their current information technology practices and metrics across all IT service domains. In 2014, more…

Knowledge Based Artificial Augmentation Intelligence Technology: Next Step in Academic Instructional Tools for Distance Learning

ERIC Educational Resources Information Center

Crowe, Dale; LaPierre, Martin; Kebritchi, Mansureh

2017-01-01

With augmented intelligence/knowledge based system (KBS) it is now possible to develop distance learning applications to support both curriculum and administrative tasks. Instructional designers and information technology (IT) professionals are now moving from the programmable systems era that started in the 1950s to the cognitive computing era.…

Researching Instructional Use and the Technology Acceptation of Learning Management Systems by Secondary School Teachers

ERIC Educational Resources Information Center

De Smet, Cindy; Bourgonjon, Jeroen; De Wever, Bram; Schellens, Tammy; Valcke, Martin

2012-01-01

The aim of this large-scale study was to understand the technology acceptation of learning management systems (LMS) by secondary school teachers and to investigate the instructional use of LMS, distinguishing between informational use and communicational use. The predictive model further includes: perceived usefulness, perceived ease of use,…

Machine learning techniques for fault isolation and sensor placement

NASA Technical Reports Server (NTRS)

Carnes, James R.; Fisher, Douglas H.

1993-01-01

Fault isolation and sensor placement are vital for monitoring and diagnosis. A sensor conveys information about a system's state that guides troubleshooting if problems arise. We are using machine learning methods to uncover behavioral patterns over snapshots of system simulations that will aid fault isolation and sensor placement, with an eye towards minimality, fault coverage, and noise tolerance.

In Respect to the Cognitive Load Theory: Adjusting Instructional Guidance with Student Expertise.

PubMed

Schilling, Jim

2017-01-01

The amount of guidance supplied by educators to students in allied health programs is a factor in student learning. According to the cognitive load theory of learning, without adequate instructional support, novice learners will be overwhelmed and unable to store information, while unnecessary guidance supplied to advanced students will cause extraneous cognitive load on the working memory system. Adjusting instructional guidance for students according to their level of expertise to minimize extraneous cognitive load and optimize working memory storage capacity will enhance learning effectiveness. Novice students presented with complex subject matter require significant guidance during the initial stages, using strategies such as worked examples. As students comprehend information, instructional guidance needs to gradually fade to avoid elevated extraneous cognitive load from the expertise reversal effect. An instructional strategy that utilizes a systemic (fixed) or adjustable (adaptive) tapering of guidance to students in allied health programs depending on their expertise will optimize learning capability.

Multi-Modal Traveler Information System - Information Clearinghouse Final Network

DOT National Transportation Integrated Search

1997-07-23

This Working Paper will summarize the lessons learned from the initial implementation of the Information Clearinghouse and outline the proposed configuration and functional capabilities of the Final Network. In addition, all new users added since Mar...

Gender difference towards information and communication technology awareness in Indian universities.

PubMed

Verma, Chaman; Dahiya, Sanjay

2016-01-01

Nowadays, information and communication technology is major backbone of Indian education system. To support E-learning in Universities, information and communication technology (ICT) plays a momentous job. Several experts discussed about ICT awareness among students, teachers, and research scholars to take it into their learning and teaching methodology. Many of Universities either government or private are supporting the utilization of various ICT tools in teaching and learning practice. There is wide need to determine educator's behaviour towards ICT adoption to promote and enhance their learning skills. Students and faculty must confess that ICT awareness is key rod to access the technological services. This paper focuses on ICT awareness among students and faculty residing in Indian Universities. The concerned paper is describing the attitude of students and faculty towards ICT awareness in relation to their gender using statistical tools. More than nine hundred samples have been gathered from six Indian universities. The findings of this paper will help to Indian Universities administration to get aware about current scenario of ICT involvement in education system therein.

Evaluation of health information systems research in information systems research: A meta-analysis.

PubMed

Haried, Peter; Claybaugh, Craig; Dai, Hua

2017-04-01

Given the importance of the health-care industry and the promise of health information systems, researchers are encouraged to build on the shoulders of giants as the saying goes. The health information systems field has a unique opportunity to learn from and extend the work that has already been done by the highly correlated information systems field. As a result, this research article presents a past, present and future meta-analysis of health information systems research in information systems journals over the 2000-2015 time period. Our analysis reviewed 126 articles on a variety of topics related to health information systems research published in the "Senior Scholars" list of the top eight ranked information systems academic journals. Across the selected information systems academic journals, our findings compare research methodologies applied, health information systems topic areas investigated and research trends. Interesting results emerge in the range and evolution of health information systems research and opportunities for health information systems researchers and practitioners to consider moving forward.