Capturing readiness to learn and collaboration as explored with an interprofessional simulation scenario: A mixed-methods research study.

PubMed

Rossler, Kelly L; Kimble, Laura P

2016-01-01

Didactic lecture does not lend itself to teaching interprofessional collaboration. High-fidelity human patient simulation with a focus on clinical situations/scenarios is highly conducive to interprofessional education. Consequently, a need for research supporting the incorporation of interprofessional education with high-fidelity patient simulation based technology exists. The purpose of this study was to explore readiness for interprofessional learning and collaboration among pre-licensure health professions students participating in an interprofessional education human patient simulation experience. Using a mixed methods convergent parallel design, a sample of 53 pre-licensure health professions students enrolled in nursing, respiratory therapy, health administration, and physical therapy programs within a college of health professions participated in high-fidelity human patient simulation experiences. Perceptions of interprofessional learning and collaboration were measured with the revised Readiness for Interprofessional Learning Scale (RIPLS) and the Health Professional Collaboration Scale (HPCS). Focus groups were conducted during the simulation post-briefing to obtain qualitative data. Statistical analysis included non-parametric, inferential statistics. Qualitative data were analyzed using a phenomenological approach. Pre- and post-RIPLS demonstrated pre-licensure health professions students reported significantly more positive attitudes about readiness for interprofessional learning post-simulation in the areas of team work and collaboration, negative professional identity, and positive professional identity. Post-simulation HPCS revealed pre-licensure nursing and health administration groups reported greater health collaboration during simulation than physical therapy students. Qualitative analysis yielded three themes: "exposure to experiential learning," "acquisition of interactional relationships," and "presence of chronology in role preparation." Quantitative and qualitative data converged around the finding that physical therapy students had less positive perceptions of the experience because they viewed physical therapy practice as occurring one-on-one rather than in groups. Findings support that pre-licensure students are ready to engage in interprofessional education through exposure to an experiential format such as high-fidelity human patient simulation. Copyright © 2015 Elsevier Ltd. All rights reserved.

RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests

ERIC Educational Resources Information Center

Khosravi, Hassan; Kitto, Kirsty; Cooper, Kendra

2017-01-01

Various forms of Peer-Learning Environments are increasingly being used in post-secondary education, often to help build repositories of student generated learning objects. However, large classes can result in an extensive repository, which can make it more challenging for students to search for suitable objects that both reflect their interests…

The positive impact of interprofessional education: a controlled trial to evaluate a programme for health professional students.

PubMed

Darlow, Ben; Coleman, Karen; McKinlay, Eileen; Donovan, Sarah; Beckingsale, Louise; Gray, Ben; Neser, Hazel; Perry, Meredith; Stanley, James; Pullon, Sue

2015-06-04

Collaborative interprofessional practice is an important means of providing effective care to people with complex health problems. Interprofessional education (IPE) is assumed to enhance interprofessional practice despite challenges to demonstrate its efficacy. This study evaluated whether an IPE programme changed students' attitudes to interprofessional teams and interprofessional learning, students' self-reported effectiveness as a team member, and students' perceived ability to manage long-term conditions. A prospective controlled trial evaluated an eleven-hour IPE programme focused on long-term conditions' management. Pre-registration students from the disciplines of dietetics (n = 9), medicine (n = 36), physiotherapy (n = 12), and radiation therapy (n = 26) were allocated to either an intervention group (n = 41) who received the IPE program or a control group (n = 42) who continued with their usual discipline specific curriculum. Outcome measures were the Attitudes Toward Health Care Teams Scale (ATHCTS), Readiness for Interprofessional Learning Scale (RIPLS), the Team Skills Scale (TSS), and the Long-Term Condition Management Scale (LTCMS). Analysis of covariance compared mean post-intervention scale scores adjusted for baseline scores. Mean post-intervention attitude scores (all on a five-point scale) were significantly higher in the intervention group than the control group for all scales. The mean difference for the ATHCTS was 0.17 (95 %CI 0.05 to 0.30; p = 0.006), for the RIPLS was 0.30 (95 %CI 0.16 to 0.43; p < 0.001), for the TSS was 0.71 (95 %CI 0.49 to 0.92; p < 0.001), and for the LTCMS was 0.75 (95 %CI 0.56 to 0.94; p < 0.001). The mean effect of the intervention was similar for students from the two larger disciplinary sub-groups of medicine and radiation therapy. An eleven-hour IPE programme resulted in improved attitudes towards interprofessional teams and interprofessional learning, as well as self-reported ability to function within an interprofessional team, and self-reported confidence, knowledge, and ability to manage people with long-term conditions. These findings indicate that a brief intervention such as this can have immediate positive effects and contribute to the development of health professionals who are ready to collaborate with others to improve patient outcomes.

Examining the influence of professional identity formation on the attitudes of students towards interprofessional collaboration.

PubMed

Stull, Cynthia L; Blue, Christine M

2016-01-01

An expectation of introductory interprofessional education (IPE) is improvement in attitudes towards other professions. However, the theory surrounding professional identity formation suggests this expectation may be premature. The objective of this study was to quantify first-year health professional students' attitudes towards their own and other professions and to investigate the relationship between strength of professional identity and attitudes towards other professions and interprofessional learning. Using a pre/post-test design, researchers administered the Readiness for Interprofessional Learning Scale (RIPLS) and the Interdisciplinary Education Perception Scale (IEPS) to 864 first-year healthcare students in the Academic Health Center (AHC) at the University of Minnesota. The findings showed a decline in student attitudes towards their own and other professions. Additionally, a positive correlation between a weakened professional identity and readiness for interprofessional learning was demonstrated. This study found that an introductory IPE course did not positively affect student attitudes towards other professions, or strengthen professional identity or readiness for interprofessional learning. Analysis of the findings support the successive stages of professional identity formation.

The development of clinical reasoning and interprofessional behaviors: service-learning at a student-run free clinic.

PubMed

Seif, Gretchen; Coker-Bolt, Patty; Kraft, Sara; Gonsalves, Wanda; Simpson, Kit; Johnson, Emily

2014-11-01

This article examines the benefits of a student run free clinic (SRFC) as a service learning experience for students in medicine, pharmacy, occupational therapy, physical therapy and physician assistant programs. We hypothesized that students who participate in an interprofessional service learning course and volunteer at a SRFC would demonstrate significant increases in perceptions and attitudes for working in interprofessional health care teams and clinical reasoning skills compared to students who did not participate. Three assessments were administered to an experimental and control group of pre-clinical students from medical, occupational therapy, physical therapy, pharmacy and physician assistant programs before and after participation in an interprofessional service-learning course and volunteering at the SRFC. The tools were the Interdisciplinary Education Perception Scale (IEPS), Readiness for Interprofessional Learning Scale (RIPLS) and the Self-Assessment of Clinical Reflection and Reasoning (SACRR). Students who completed the course had improvements in interprofessional perceptions and attitudes (p = 0.03) and perceptions of clinical reasoning skills when compared to the control group (p = 0.002). This study is novel as it examined students' perceptions of interprofessional attitudes and clinical reasoning following participation in an interprofessional service-learning course and participation in a SRFC.

River Platform for Monitoring Erosion (RIPLE) in mountainous rivers

NASA Astrophysics Data System (ADS)

Michielin, Yoann; Nord, Guillaume; Esteves, Michel; Geay, Thomas; Hauet, Alexandre

2017-04-01

The RIPLE platform has been developed to allow a continuous monitoring at high temporal frequency ( 10 min) of water and solid fluxes in mountainous rivers. The scientific context of this development is defined as follows: (i) the simultaneous measurements of water discharge, bedload, suspension load and river bed topography contribute to the establishment of comprehensive mass balance at the catchment scale; (ii) measurements of the physical properties of fine sediments (size, shape, composition) provide information on the spatial origin of sediments within the catchment, the conditions for erosion and sedimentation processes within the river and the potential to transport other substances such as nutrients, metals, microorganisms. For the design of the platform, priority has been given to non-intrusive instruments due to their robustness. The basic prototype of the platform integrates the following instruments: water level and surface velocity radars, turbidimeters, conductivity probe, hydrophone, cameras, automatic water sampler and depth sounder. Other instruments are progressively integrated, such as the SCAF (system characterizing the sediment's settling velocity), an acoustic Doppler profiler and a spectrophotometer. A wireless telecommunication has been set up to allow remote interactions with the platform and data transmission. The RIPLE platform has been designed to facilitate its use and maintenance: user interface allowing data monitoring and remote configuration, sending alerts (SMS, mail) according to programmed conditions, flexibility of on-site installation and energy autonomy allowing to easily move the platform from one site to another site. In September 2016, the RIPLE platform was installed on a bridge across the Romanche river at Bourg d'Oisans (45.1159 °N, 6.0135 °E) for a testing period. After a presentation of the architecture of the platform, the first results derived from in situ measurements are discussed: the intercomparison of surface velocity measurements (velocity radar versus Large Scale Particle Image Velocimetry), the direct estimation of water discharge using the surface velocity and water level measurements and the comparison with the historical stage-discharge rating curve, the intercomparison of turbidity measurements and the calibration of the turbidity-SSC (suspended sediment concentration) relationships, the investigation of periods with bedload transport and the characterization of the corresponding hydraulic conditions. The next steps in the exploitation of the results of the RIPLE platform are finally addressed.

Decline in medical students' attitudes to interprofessional learning and patient-centredness.

PubMed

Hudson, Judith N; Lethbridge, Alistair; Vella, Susan; Caputi, Peter

2016-05-01

Interprofessional learning (IPL) is valuable in preparing health care students to work collaboratively in teams, with patients' needs at the core. Patient-centredness is the impetus for communication and collaboration in health care. Debate continues on when it is best to develop positive student attitudes towards these aspects of care. Should IPL commence early before attitudes to patients, professional stereotypes and identity are formed, or later for advanced learners with greater experience of their roles and responsibility in health care? This study explores graduate-entry medical students' attitudes to IPL and patient-centred care, on programme entry and after an early interdisciplinary clinical experience (ICE). An extended version of the Readiness for Interprofessional Learning Scale (RIPLS) was administered to four cohorts of medical students (n = 279) on entry and after the 3-week placement. This 26-item RIPLS comprised four subscales: team work and collaboration; professional identity; roles and responsibilities; and patient-centredness. The impact of the placement on students' attitudes was assessed by using repeated measures analysis of variance to compare pre- and post-ICE subscale scores. There were significant main effects of time (pre- versus post-ICE) for the subscales of teamwork and collaboration, professional identity and patient-centredness, but not for roles and responsibilities. Scores for teamwork and collaboration, professional identity and patient-centredness were all lower post-ICE. The students' less positive attitudes to teamwork and collaboration and professional identity may be due to the experience itself, or because it reinforced negative beliefs about the value of learning from non-medical health professionals. Perhaps the students' idealised view of their future role as a doctor was challenged by the experience, or they had an underdeveloped professional identity. Limited student experience of patients having an active role in their own health care may explain the decrease in attitudes to patient-centredness. A longitudinal qualitative study will explore these results. © 2016 John Wiley & Sons Ltd.

A cross-sectional study of paramedics' readiness for interprofessional learning and cooperation: results from five universities.

PubMed

Williams, Brett; Boyle, Malcolm; Brightwell, Richard; McCall, Michael; McMullen, Paula; Munro, Graham; O'Meara, Peter; Webb, Vanessa

2013-11-01

Healthcare systems are evolving to feature the promotion of interprofessional practice more prominently. The development of successful and functional interprofessional practice is best achieved through interprofessional learning. Given that most paramedic programmes take an isolative uni-professional educational approach to their healthcare undergraduate courses, serious questions must be raised as to whether students are being adequately prepared for the interprofessional healthcare workplace. The objective of this study was to assess the attitudes of paramedic students towards interprofessional learning across five Australian universities. Using a convenience sample of paramedic student attitudes towards interprofessional learning and cooperation were measured using two standardised self-reporting instruments: Readiness for Interprofessional Learning Scale (RIPLS) and Interdisciplinary Education Perception Scale (IEPS). Students' readiness for interprofessional learning did not appear to be significantly influenced by their gender nor the type of paramedic degree they were undertaking. As students progressed through their degrees their appreciation for collaborative teamwork and their understanding of paramedic identity grew, however this appeared to negatively affect their willingness to engage in interprofessional learning with other healthcare students. The tertiary institute attended also appeared to influence students' preparedness and attitudes to shared learning. This study has found no compelling evidence that students' readiness for interprofessional learning is significantly affected by either their gender or the type of degree undertaken. By contrast it was seen that the tertiary institutions involved in this study produced students at different levels of preparedness for IPL and cooperation. Copyright © 2012 Elsevier Ltd. All rights reserved.

Readiness for interprofessional learning: a cross-faculty comparison between architecture and occupational therapy students.

PubMed

Larkin, Helen; Hitch, Danielle; Watchorn, Valerie; Ang, Susan; Stagnitti, Karen

2013-09-01

Health and wellbeing includes a need for built environments to accommodate and be inclusive of the broadest range of people and a corresponding need to ensure graduates are ready to engage in this field of interprofessional and inter-industry practise. All too often, interprofessional education in higher education is neglected with a tendency towards educational silos, particularly at a cross-faculty level. This paper reports on an initiative that embedded universal design practice education into the curricula of first year architecture and third year occupational therapy students and evaluated the impact on students' readiness for interprofessional learning. The Readiness for Interprofessional Learning Scale (RIPLS) was given to students at the beginning and end of the semester during which students participated in a variety of online and face-to-face curriculum initiatives. Results showed that at the beginning of semester, occupational therapy students were significantly more positive about interprofessional learning than their architecture counterparts. Post-results showed that this trend continued but that occupational therapy students became less positive on some items after the interprofessional learning experience. This study provides insights into the interprofessional learning experiences of a group of students who have not previously been studied within the available literature.

Understanding students' readiness for interprofessional learning in an Asian context: a mixed-methods study.

PubMed

Lestari, Endang; Stalmeijer, Renée E; Widyandana, Doni; Scherpbier, Albert

2016-07-15

Healthcare is generally provided by various health professionals acting together. Unfortunately, poor communication and collaboration within such healthcare teams often prevent its members from actively engaging in collaborative decision-making. Interprofessional education (IPE) which prepares health professionals for their collaborative role in the healthcare system may partially address this problem. This study aimed to investigate: 1) students' readiness for IPE in an Asian context, 2) the most important factors influencing students' perceptions of IPE, 3) the reasons underlying such perceptions, and 4) the factors mitigating or promoting their sense of readiness. To identify students' perceptions of IPE, we administered the Readiness for Interprofessional Learning Scale (RIPLS) to 398 in approximately 470 students from a range of health professions (medicine, nursing, midwifery and dentistry). The questionnaire included factors that could potentially influence readiness for IPE as found in the literature (GPA, etc.). To enhance our understanding of the responses to the RIPLS and to explore the reasons underlying them, we conducted 4 mono-professional focus group discussions (FGDs). We ran a statistical analysis on the quantitative data, while performing a thematic content analysis of the qualitative data using ATLAS.ti (version 7). Medical students seemed to be the most prepared for IPE. Students' perceptions of IPE were conditioned by the study programme they took, their GPA, intrinsic motivation and engagement in the student council connoting experience of working with students from different programmes. Focus groups further revealed that: 1) early exposure to clinical practice triggered both positive and negative perceptions of IPE and of its importance to learning communication and leadership skills, 2) medical students caused insecurity and disengagement in other students, 3) medical students felt pressured to be leaders, and 4) there was a need to clarify and understand each other's profession and the boundaries of one's own profession. Students were generally favourable to IPE, appreciating the opportunity it offered them to hone their interprofessional leadership, collaboration and communication skills and to learn to address the problem of role blurring. Hence, we judge the Asian context ready to implement IPE, allowing health professions students in Asian countries to reap its benefits. The present study revealed several important reasons underlying students' positive and negative perceptions of IPE implementation which may be addressed during the interprofessional learning process.

A four-year, systems-wide intervention promoting interprofessional collaboration

PubMed Central

2012-01-01

Background A four-year action research study was conducted across the Australian Capital Territory health system to strengthen interprofessional collaboration (IPC) though multiple intervention activities. Methods We developed 272 substantial IPC intervention activities involving 2,407 face-to-face encounters with health system personnel. Staff attitudes toward IPC were surveyed yearly using Heinemann et al's Attitudes toward Health Care Teams and Parsell and Bligh's Readiness for Interprofessional Learning scales (RIPLS). At study's end staff assessed whether project goals were achieved. Results Of the improvement projects, 76 exhibited progress, and 57 made considerable gains in IPC. Educational workshops and feedback sessions were well received and stimulated interprofessional activities. Over time staff scores on Heinemann's Quality of Interprofessional Care subscale did not change significantly and scores on the Doctor Centrality subscale increased, contrary to predictions. Scores on the RIPLS subscales of Teamwork & Collaboration and Professional Identity did not alter. On average for the assessment items 33% of staff agreed that goals had been achieved, 10% disagreed, and 57% checked neutral. There was most agreement that the study had resulted in increased sharing of knowledge between professions and improved quality of patient care, and least agreement that between-professional rivalries had lessened and communication and trust between professions improved. Conclusions Our longitudinal interventional study of IPC involving multiple activities supporting increased IPC achieved many project-specific goals. However, improvements in attitudes over time were not demonstrated and neutral assessments predominated, highlighting the difficulties faced by studies targeting change at the systems level and over extended periods. PMID:22520869

RIPL - Reference Input Parameter Library for Calculation of Nuclear Reactions and Nuclear Data Evaluations

NASA Astrophysics Data System (ADS)

Capote, R.; Herman, M.; Obložinský, P.; Young, P. G.; Goriely, S.; Belgya, T.; Ignatyuk, A. V.; Koning, A. J.; Hilaire, S.; Plujko, V. A.; Avrigeanu, M.; Bersillon, O.; Chadwick, M. B.; Fukahori, T.; Ge, Zhigang; Han, Yinlu; Kailas, S.; Kopecky, J.; Maslov, V. M.; Reffo, G.; Sin, M.; Soukhovitskii, E. Sh.; Talou, P.

2009-12-01

We describe the physics and data included in the Reference Input Parameter Library, which is devoted to input parameters needed in calculations of nuclear reactions and nuclear data evaluations. Advanced modelling codes require substantial numerical input, therefore the International Atomic Energy Agency (IAEA) has worked extensively since 1993 on a library of validated nuclear-model input parameters, referred to as the Reference Input Parameter Library (RIPL). A final RIPL coordinated research project (RIPL-3) was brought to a successful conclusion in December 2008, after 15 years of challenging work carried out through three consecutive IAEA projects. The RIPL-3 library was released in January 2009, and is available on the Web through http://www-nds.iaea.org/RIPL-3/. This work and the resulting database are extremely important to theoreticians involved in the development and use of nuclear reaction modelling (ALICE, EMPIRE, GNASH, UNF, TALYS) both for theoretical research and nuclear data evaluations. The numerical data and computer codes included in RIPL-3 are arranged in seven segments: MASSES contains ground-state properties of nuclei for about 9000 nuclei, including three theoretical predictions of masses and the evaluated experimental masses of Audi et al. (2003). DISCRETE LEVELS contains 117 datasets (one for each element) with all known level schemes, electromagnetic and γ-ray decay probabilities available from ENSDF in October 2007. NEUTRON RESONANCES contains average resonance parameters prepared on the basis of the evaluations performed by Ignatyuk and Mughabghab. OPTICAL MODEL contains 495 sets of phenomenological optical model parameters defined in a wide energy range. When there are insufficient experimental data, the evaluator has to resort to either global parameterizations or microscopic approaches. Radial density distributions to be used as input for microscopic calculations are stored in the MASSES segment. LEVEL DENSITIES contains phenomenological parameterizations based on the modified Fermi gas and superfluid models and microscopic calculations which are based on a realistic microscopic single-particle level scheme. Partial level densities formulae are also recommended. All tabulated total level densities are consistent with both the recommended average neutron resonance parameters and discrete levels. GAMMA contains parameters that quantify giant resonances, experimental gamma-ray strength functions and methods for calculating gamma emission in statistical model codes. The experimental GDR parameters are represented by Lorentzian fits to the photo-absorption cross sections for 102 nuclides ranging from 51V to 239Pu. FISSION includes global prescriptions for fission barriers and nuclear level densities at fission saddle points based on microscopic HFB calculations constrained by experimental fission cross sections.

RIPL - Reference Input Parameter Library for Calculation of Nuclear Reactions and Nuclear Data Evaluations

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

Capote, R.; Herman, M.; Oblozinsky, P.

We describe the physics and data included in the Reference Input Parameter Library, which is devoted to input parameters needed in calculations of nuclear reactions and nuclear data evaluations. Advanced modelling codes require substantial numerical input, therefore the International Atomic Energy Agency (IAEA) has worked extensively since 1993 on a library of validated nuclear-model input parameters, referred to as the Reference Input Parameter Library (RIPL). A final RIPL coordinated research project (RIPL-3) was brought to a successful conclusion in December 2008, after 15 years of challenging work carried out through three consecutive IAEA projects. The RIPL-3 library was released inmore » January 2009, and is available on the Web through (http://www-nds.iaea.org/RIPL-3/). This work and the resulting database are extremely important to theoreticians involved in the development and use of nuclear reaction modelling (ALICE, EMPIRE, GNASH, UNF, TALYS) both for theoretical research and nuclear data evaluations. The numerical data and computer codes included in RIPL-3 are arranged in seven segments: MASSES contains ground-state properties of nuclei for about 9000 nuclei, including three theoretical predictions of masses and the evaluated experimental masses of Audi et al. (2003). DISCRETE LEVELS contains 117 datasets (one for each element) with all known level schemes, electromagnetic and {gamma}-ray decay probabilities available from ENSDF in October 2007. NEUTRON RESONANCES contains average resonance parameters prepared on the basis of the evaluations performed by Ignatyuk and Mughabghab. OPTICAL MODEL contains 495 sets of phenomenological optical model parameters defined in a wide energy range. When there are insufficient experimental data, the evaluator has to resort to either global parameterizations or microscopic approaches. Radial density distributions to be used as input for microscopic calculations are stored in the MASSES segment. LEVEL DENSITIES contains phenomenological parameterizations based on the modified Fermi gas and superfluid models and microscopic calculations which are based on a realistic microscopic single-particle level scheme. Partial level densities formulae are also recommended. All tabulated total level densities are consistent with both the recommended average neutron resonance parameters and discrete levels. GAMMA contains parameters that quantify giant resonances, experimental gamma-ray strength functions and methods for calculating gamma emission in statistical model codes. The experimental GDR parameters are represented by Lorentzian fits to the photo-absorption cross sections for 102 nuclides ranging from {sup 51}V to {sup 239}Pu. FISSION includes global prescriptions for fission barriers and nuclear level densities at fission saddle points based on microscopic HFB calculations constrained by experimental fission cross sections.« less

RIPL-Reference Input Parameter Library for Calculation of Nuclear Reactions and Nuclear Data Evaluations

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

Capote, R.; Herman, M.; Capote,R.

We describe the physics and data included in the Reference Input Parameter Library, which is devoted to input parameters needed in calculations of nuclear reactions and nuclear data evaluations. Advanced modelling codes require substantial numerical input, therefore the International Atomic Energy Agency (IAEA) has worked extensively since 1993 on a library of validated nuclear-model input parameters, referred to as the Reference Input Parameter Library (RIPL). A final RIPL coordinated research project (RIPL-3) was brought to a successful conclusion in December 2008, after 15 years of challenging work carried out through three consecutive IAEA projects. The RIPL-3 library was released inmore » January 2009, and is available on the Web through http://www-nds.iaea.org/RIPL-3/. This work and the resulting database are extremely important to theoreticians involved in the development and use of nuclear reaction modelling (ALICE, EMPIRE, GNASH, UNF, TALYS) both for theoretical research and nuclear data evaluations. The numerical data and computer codes included in RIPL-3 are arranged in seven segments: MASSES contains ground-state properties of nuclei for about 9000 nuclei, including three theoretical predictions of masses and the evaluated experimental masses of Audi et al. (2003). DISCRETE LEVELS contains 117 datasets (one for each element) with all known level schemes, electromagnetic and {gamma}-ray decay probabilities available from ENSDF in October 2007. NEUTRON RESONANCES contains average resonance parameters prepared on the basis of the evaluations performed by Ignatyuk and Mughabghab. OPTICAL MODEL contains 495 sets of phenomenological optical model parameters defined in a wide energy range. When there are insufficient experimental data, the evaluator has to resort to either global parameterizations or microscopic approaches. Radial density distributions to be used as input for microscopic calculations are stored in the MASSES segment. LEVEL DENSITIES contains phenomenological parameterizations based on the modified Fermi gas and superfluid models and microscopic calculations which are based on a realistic microscopic single-particle level scheme. Partial level densities formulae are also recommended. All tabulated total level densities are consistent with both the recommended average neutron resonance parameters and discrete levels. GAMMA contains parameters that quantify giant resonances, experimental gamma-ray strength functions and methods for calculating gamma emission in statistical model codes. The experimental GDR parameters are represented by Lorentzian fits to the photo-absorption cross sections for 102 nuclides ranging from {sup 51}V to {sup 239}Pu. FISSION includes global prescriptions for fission barriers and nuclear level densities at fission saddle points based on microscopic HFB calculations constrained by experimental fission cross sections.« less

Working together: Using a unique approach to evaluate an interactive and clinic-based longitudinal interprofessional education experience with 13 professions.

PubMed

Thompson, Britta M; Bratzler, Dale W; Fisher, Mark J; Torres, Amie; Faculty, Epic; Sparks, Rhonda A

2016-11-01

Interprofessional education (IPE) involving an interactive and longitudinal clinic experience at an inner-city charitable clinic from September to May 2013/2014 was evaluated. Pre-, mid-, and post-intervention data were collected from students in 13 different professions including medicine (medical and physician assistant), dentistry (dental and dental hygiene), nursing (undergraduate and clinical nurse specialist), public health, pharmacy, physical therapy, occupational therapy, nutritional sciences, speech and language pathology, and social work. To evaluate their interprofessional attitudes, students completed the TeamSTEPPS Teamwork Attitudes Questionnaire (T-TAQ) and Readiness for Interprofessional Learning Scale (RIPLS). They also completed a unique measure, healthcare professionals circles diagrams (HPCDs), that indicated student conceptualisation of a healthcare team caring for a complex patient, along with perception of their team's progress towards meeting patient goals. Results from the T-TAQ and RIPLS scores indicated small but significant increases from pre- to post-intervention (p = 0.005 and 0.012, respectively). Analysis of the HPCDs revealed significant increases in students' perceptions of the types of interprofessional team members, relationships, and communication between professions to provide medical care to patients (p < 0.01). Most HPCDs included pharmacists, nurses, and physicians as part of the care team at all time points. Students significantly increased their inclusion of dentistry, public health, social work, and physician assistants as members of the healthcare team from pre- to post-intervention. Implications of our data indicated the importance of IPE interventions that include not only classroom-based sessions, but actual patient care experiences within interprofessional teams. It also reinforced the importance of new and unique methods to assess IPE.

Attitudes of the first cohort of student groups trained together at the University of Portsmouth Dental Academy towards dental interprofessional education.

PubMed

Colonio Salazar, F B; Andiappan, M; Radford, D R; Gallagher, J E

2017-05-01

This study explored, and compared, the attitudes of student groups trained at the University of Portsmouth Dental Academy (UPDA) in 2010/2011 towards dental interprofessional education (IPE). The study population consisted of fifth-year student dentists (n = 80) from King's College London Dental Institute, second- and third-year dental hygiene and therapy (n = 38) and first-year dental nursing (n = 14) students from UPDA. A 19-item, validated and dentally modified questionnaire, 'Readiness for Inter-Professional Learning Scale (RIPLS)', was administered. RIPLS contains three subscales: teamwork and collaboration, professional identity and roles and responsibilities. Mean (x¯) and standard deviation (SD) of the scores were calculated, following reversal of negative items. All the analyses were carried out using SPSS version 20 and STATA version 11. An overall response rate of 71% (n = 94) was achieved. In reference to teamwork and collaboration, all groups strongly indicated that IPE can contribute to learning teamwork skills (x¯ = 24.98, SD = 3.5) and improving relationships with team members (x¯ = 12.93, SD = 1.63); however, the scores did not differ between the groups (P = 0.09 and P = 0.16, respectively). Concerning professional identity, student dentists had significantly higher preference for a discipline-based approach (P = 0.002); were more likely to agree that 'it is not necessary for undergraduate dental and dental care professional students to learn together' (P = 0.01); and perceived that 'clinical problem-solving skills can only be learnt effectively with other students from their own discipline' (P = 0.02) than dental hygiene and therapy students. In relation to roles and responsibilities, participants demonstrated a strong sense of their own professional role. Student dentists reported that they had 'to gain more knowledge and skills' than dental hygiene and therapy (P = 0.01) and dental nursing (P = 0.01) students. Dental hygiene and therapy students were less likely than student dentists to agree that 'the role of dental nurses and hygienists was to mainly provide support for dentists' (P = 0.001). The findings suggest that IPE was perceived as beneficial in relation to teamwork; however, the study raises issues regarding professional identity and roles. Educators should consider differing perceptions of professional roles and identities when planning and delivering interprofessional programmes. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

How do self-interest and other-need interact in the brain to determine altruistic behavior?

PubMed

Hu, Jie; Li, Yue; Yin, Yunlu; Blue, Philip R; Yu, Hongbo; Zhou, Xiaolin

2017-08-15

Altruistic behavior, i.e., promoting the welfare of others at a cost to oneself, is subserved by the integration of various social, affective, and economic factors represented in extensive brain regions. However, it is unclear how different regions interact to process/integrate information regarding the helper's interest and recipient's need when deciding whether to behave altruistically. Here we combined an interactive game with functional Magnetic Resonance Imaging (fMRI) and transcranial direct current stimulation (tDCS) to characterize the neural network underlying the processing/integration of self-interest and other-need. At the behavioral level, high self-risk decreased helping behavior and high other-need increased helping behavior. At the neural level, activity in medial prefrontal cortex (MPFC) and right dorsolateral prefrontal cortex (rDLPFC) were positively associated with self-risk levels, and activity in right inferior parietal lobe (rIPL) and rDLPFC were negatively associated with other-need levels. Dynamic causal modeling further suggested that both MPFC and rIPL were extrinsically connected to rDLPFC; high self-risk enhanced the effective connectivity from MPFC to rDLPFC, and the modulatory effect of other-need on the connectivity from rIPL to rDLPFC positively correlated with the modulatory effect of other-need on individuals' helping rate. Two tDCS experiments provided causal evidence that rDLPFC affects both self-interest and other-need concerns, and rIPL selectively affects the other-need concerns. These findings suggest a crucial role of the MPFC-IPL-DLPFC network during altruistic decision-making, with rDLPFC as a central node for integrating and modulating motives regarding self-interest and other-need. Copyright © 2017. Published by Elsevier Inc.

Misattribution of movement agency following right parietal TMS.

PubMed

Preston, Catherine; Newport, Roger

2008-03-01

Single pulse transcranial magnetic stimulation (TMS) was used to disrupt the right inferior parietal lobe (rIPL) whilst neurologically intact participants made self/other judgments about whole arm reaching movements. Visual feedback of a physically coincident virtual hand was perturbed or left unperturbed (randomly) while TMS was delivered to either the rIPL or the vertex (blocked). Visual feedback of the virtual hand was veridical until the hand became occluded by a virtual bar approximately half way through the movement. TMS was delivered on 50% of trials at random during occlusion of the hand. The position of the virtual hand relative to the real hand was also perturbed during occlusion of the virtual hand on 50% of trials at random. At the end of the reach participants were required to make a verbal judgment as to whether the movement they had seen was self (unperturbed) or other (perturbed). The results revealed that when TMS was applied over rIPL, participants were more likely to misattribute agency to the computer, making more other responses for both perturbed and unperturbed trials. These findings highlight the role of a parietal neural comparator as a low-level mechanism in the experience of agency.

The readiness of postgraduate health sciences students for interprofessional education in iran.

PubMed

Vafadar, Zohreh; Vanaki, Zohreh; Ebadi, Abbas

2015-01-01

Interprofessional education has been recognized as an effective educational approach towards enabling students to provide comprehensive and safe team care for promotion of health outcomes of patients. This study was conducted in order to assess the readiness of postgraduate health science students for interprofessional education/learning, as well as identify barriers to the implementation of such an approach in Iran from the students' point of view. This was a cross-sectional and descriptive-analytical study conducted in 2013 on 500 postgraduate students in three main professional groups: medical, nursing and other allied health professions across a number of Iranian Universities using the convenience sampling method. Quantitative Data were collected through self-administering the Readiness for InterProfessional Learning Scale (RIPLS) questionnaire with acceptable internal consistency (? = 0.86). The data were analyzed by SPSS18. Qualitative data were gathered by an open-ended questionnaire and analyzed by qualitative content analysis method. The mean score of the students' readiness (M=80, SD=8.6) was higher than the average score on the Scale (47.5). In comparison between groups, there was no statistically significant difference between groups in their readiness (p>0.05). Also four main categories were identified as barriers to implementation of interprofessional education from the students' point of view; the categories were an inordinately profession-oriented, individualistic culture, style of management and weak evidence. An acceptable degree of readiness and a generally favorable attitude among students towards interprofessional education show that there are appropriate attitudinal and motivational backgrounds for implementation of interprofessional education, but it is necessary to remove the barriers by long-term strategic planning and advancing of interprofessional education in order to address health challenges.

The Readiness of Postgraduate Health Sciences Students for Interprofessional Education in Iran

PubMed Central

Vafadar, Zohreh; Vanaki, Zohreh; Ebadi, Abbas

2015-01-01

Aim: Interprofessional education has been recognized as an effective educational approach towards enabling students to provide comprehensive and safe team care for promotion of health outcomes of patients. This study was conducted in order to assess the readiness of postgraduate health science students for interprofessional education/learning, as well as identify barriers to the implementation of such an approach in Iran from the students’ point of view. Methods: This was a cross–sectional and descriptive-analytical study conducted in 2013 on 500 postgraduate students in three main professional groups: medical, nursing and other allied health professions across a number of Iranian Universities using the convenience sampling method. Quantitative Data were collected through self-administering the Readiness for InterProfessional Learning Scale (RIPLS) questionnaire with acceptable internal consistency (α = 0.86). The data were analyzed by SPSS18. Qualitative data were gathered by an open–ended questionnaire and analyzed by qualitative content analysis method. Results: The mean score of the students’ readiness (M=80, SD=8.6) was higher than the average score on the Scale (47.5). In comparison between groups, there was no statistically significant difference between groups in their readiness (p>0.05). Also four main categories were identified as barriers to implementation of interprofessional education from the students’ point of view; the categories were an inordinately profession-oriented, individualistic culture, style of management and weak evidence. Conclusion: An acceptable degree of readiness and a generally favorable attitude among students towards interprofessional education show that there are appropriate attitudinal and motivational backgrounds for implementation of interprofessional education, but it is necessary to remove the barriers by long-term strategic planning and advancing of interprofessional education in order to address health challenges. PMID:25946930

A critical appraisal of instruments to measure outcomes of interprofessional education.

PubMed

Oates, Matthew; Davidson, Megan

2015-04-01

Interprofessional education (IPE) is believed to prepare health professional graduates for successful collaborative practice. A range of instruments have been developed to measure the outcomes of IPE. An understanding of the psychometric properties of these instruments is important if they are to be used to measure the effectiveness of IPE. This review set out to identify instruments available to measure outcomes of IPE and collaborative practice in pre-qualification health professional students and to critically appraise the psychometric properties of validity, responsiveness and reliability against contemporary standards for instrument design. Instruments were selected from a pool of extant instruments and subjected to critical appraisal to determine whether they satisfied inclusion criteria. The qualitative and psychometric attributes of the included instruments were appraised using a checklist developed for this review. Nine instruments were critically appraised, including the widely adopted Readiness for Interprofessional Learning Scale (RIPLS) and the Interdisciplinary Education Perception Scale (IEPS). Validity evidence for instruments was predominantly based on test content and internal structure. Ceiling effects and lack of scale width contribute to the inability of some instruments to detect change in variables of interest. Limited reliability data were reported for two instruments. Scale development and scoring protocols were generally reported by instrument developers, but the inconsistent application of scoring protocols for some instruments was apparent. A number of instruments have been developed to measure outcomes of IPE in pre-qualification health professional students. Based on reported validity evidence and reliability data, the psychometric integrity of these instruments is limited. The theoretical test construction paradigm on which instruments have been developed may be contributing to the failure of some instruments to detect change in variables of interest following an IPE intervention. These limitations should be considered in any future research on instrument design. © 2015 John Wiley & Sons Ltd.

Enhanced Production of a Recombinant Multidomain Thermostable GH9 Processive Endo-1,4-β-Glucanase (CenC) from Ruminiclostridium thermocellum in a Mesophilic Host Through Various Cultivation and Induction Strategies.

PubMed

Haq, Ikram Ul; Akram, Fatima

2017-09-01

Commonly, unintentional induction and inadvertently preparing medium for engineered Escherichia coli BL21 CodonPlus (DE3)-RIPL, give poor or variable yields of heterologous proteins. Therefore, to enhance the activity and production of an industrially relevant recombinant processive endo-1,4-β-glucanase (CenC) propagated in Escherichia coli BL21 CodonPlus(DE3)-RIPL through various cultivation and induction strategies. Investigation of various growth media and induction parameters revealed that high-cell-density and optimal CenC expression were obtained in ZYBM9 medium induced either with 0.5 mM IPTG/150 mM lactose, after 6 h induction at 37 °C; and before induction, bacterial cells were given heat shock (42 °C) for 1 h when culture density (OD 600nm ) reached at 0.6. Intracellular enzyme activity was enhanced by 6.67 and 3.20-fold in ZYBM9 and 3×ZYBM9 medium, respectively, under optimal conditions. Using YNG auto-induction medium, activity was 2.5-fold increased after 10 h incubation at 37 °C. Approximately similar results were obtained by transferring the optimized process at the bioreactor level. Results showed that the effective process strategy is essential to enhance recombinant bacterial cell mass and enzyme production from small to large-scale. To the best of our knowledge, this is the first ever report on enhanced production of thermostable processive endo-1,4-β-glucanase cloned from Ruminiclostridium thermocellum, which is a suitable candidate for industrial applications. Graphical Abstract Flow Chart Summary of Enhanced Production of a Recombinant Multidomain Thermostable GH9 Processive Endo-1,4-β-glucanase from Ruminiclostridium thermocellum.

Dissecting through barriers: A follow-up study on the long-term effects of interprofessional education in a dissection course with healthcare professional students.

PubMed

Zheng, Yu Hang Eric; Palombella, Andrew; Salfi, Jenn; Wainman, Bruce

2018-04-16

Several studies have shown significant improvements in the attitudes and perceptions of healthcare professional students toward interprofessional education (IPE) immediately following intervention with IPE courses. However, there remains little evidence on the lasting effects of IPE courses and the long-term influences of these IPE experiences are poorly documented. The purpose of this study is to assess the long-term effects of an intensive, ten-week interprofessional gross anatomy dissection course at McMaster University. Attitudes and perceptions of past participants towards interprofessional learning were evaluated, now that they have started working with other healthcare professionals outside of the IPE course setting. Thirty-four past participants who have clinical experience working in interprofessional settings or are currently working in the healthcare field completed a follow-up questionnaire consisting of a modified Readiness for Interprofessional Learning Scale (RIPLS) and open-ended questions. Quantitative analysis revealed a significant decrease in their attitude towards teamwork and collaboration and respect for other health professions, but a significant improvement in their understanding of roles and responsibilities compared to their results immediately after the IPE intervention. Qualitative analysis of open-ended questions revealed several themes such as developing interprofessional competencies, developing relationships, and remembering the strengths of the IPE dissection course. The results of this study indicate that the IPE experience in anatomy was highly valued by the students and that past participants maintain a clear understanding of their scope of practice, but the reality of clinical practice may have eroded gains made in the program. Anat Sci Educ. © 2018 American Association of Anatomists. © 2018 American Association of Anatomists.

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

Sin, M.; Capote, R.; Herman, M. W.

Comprehensive calculations of cross sections for neutron-induced reactions on 232–237U targets are performed in this paper in the 10 keV–30 MeV incident energy range with the code EMPIRE–3.2 Malta. The advanced modelling and consistent calculation scheme are aimed at improving our knowledge of the neutron scattering and emission cross sections, and to assess the consistency of available evaluated libraries for light uranium isotopes. The reaction model considers a dispersive optical potential (RIPL 2408) that couples from five (even targets) to nine (odd targets) levels of the ground-state rotational band, and a triple-humped fission barrier with absorption in the wells describedmore » within the optical model for fission. A modified Lorentzian model (MLO) of the radiative strength function and Enhanced Generalized Superfluid Model nuclear level densities are used in Hauser-Feschbach calculations of the compound-nuclear decay that include width fluctuation corrections. The starting values for the model parameters are retrieved from RIPL. Excellent agreement with available experimental data for neutron emission and fission is achieved, giving confidence that the quantities for which there is no experimental information are also accurately predicted. Finally, deficiencies in existing evaluated libraries are highlighted.« less

Interprofessional training for final year healthcare students: a mixed methods evaluation of the impact on ward staff and students of a two-week placement and of factors affecting sustainability.

PubMed

McGettigan, Patricia; McKendree, Jean

2015-10-26

Multiple care failings in hospitals have led to calls for increased interprofessional training in medical education to improve multi-disciplinary teamwork. Providing practical interprofessional training has many challenges and remains uncommon in medical schools in the UK. Unlike most previous research, this evaluation of an interprofessional training placement takes a multi-faceted approach focusing not only on the impact on students, but also on clinical staff delivering the training and on outcomes for patients. We used mixed methods to examine the impact of a two-week interprofessional training placement undertaken on a medical rehabilitation ward by three cohorts of final year medical, nursing and therapy students. We determined the effects on staff, ward functioning and participating students. Impact on staff was evaluated using the Questionnaire for Psychological and Social factors at work (QPSNordic) and focus groups. Ward functioning was inferred from standard measures of care including length of stay, complaints, and adverse events. Impact on students was evaluated using the Readiness for Interprofessional Learning Survey (RIPLS) among all students plus a placement survey among medical students. Between 2007 and 2010, 362 medical students and 26 nursing and therapy students completed placements working alongside the ward staff to deliver patient care. Staff identified benefits including skills recognition and expertise sharing. Ward functioning was stable. Students showed significant improvements in the RIPLS measures of Teamwork, Professional Identity and Patient-Centred Care. Despite small numbers of students from other professions, medical students' rated the placement highly. Increasing student numbers and budgetary constraints led to the cessation of the placement after three years. Interprofessional training placements can be delivered in a clinical setting without detriment to care and with benefits for all participants. While financial support is a necessity, it appears that having students from multiple professions is not critical for a valuable training experience; staff from different professions and students from a single profession can work successfully together. Difficulty in aligning the schedules of different student professions is commonly cited as a barrier to interprofessional training. Our experience challenges this and should encourage provision of authentic interprofessional training experience.

Modelling Neutron-induced Reactions on 232–237U from 10 keV up to 30 MeV

DOE PAGES

Sin, M.; Capote, R.; Herman, M. W.; ...

2017-01-17

Comprehensive calculations of cross sections for neutron-induced reactions on 232–237U targets are performed in this paper in the 10 keV–30 MeV incident energy range with the code EMPIRE–3.2 Malta. The advanced modelling and consistent calculation scheme are aimed at improving our knowledge of the neutron scattering and emission cross sections, and to assess the consistency of available evaluated libraries for light uranium isotopes. The reaction model considers a dispersive optical potential (RIPL 2408) that couples from five (even targets) to nine (odd targets) levels of the ground-state rotational band, and a triple-humped fission barrier with absorption in the wells describedmore » within the optical model for fission. A modified Lorentzian model (MLO) of the radiative strength function and Enhanced Generalized Superfluid Model nuclear level densities are used in Hauser-Feschbach calculations of the compound-nuclear decay that include width fluctuation corrections. The starting values for the model parameters are retrieved from RIPL. Excellent agreement with available experimental data for neutron emission and fission is achieved, giving confidence that the quantities for which there is no experimental information are also accurately predicted. Finally, deficiencies in existing evaluated libraries are highlighted.« less

The signature of undetected change: an exploratory electrotomographic investigation of gradual change blindness.

PubMed

Kiat, John E; Dodd, Michael D; Belli, Robert F; Cheadle, Jacob E

2018-05-01

Neuroimaging-based investigations of change blindness, a phenomenon in which seemingly obvious changes in visual scenes fail to be detected, have significantly advanced our understanding of visual awareness. The vast majority of prior investigations, however, utilize paradigms involving visual disruptions (e.g., intervening blank screens, saccadic movements, "mudsplashes"), making it difficult to isolate neural responses toward visual changes cleanly. To address this issue in this present study, high-density EEG data (256 channel) were collected from 25 participants using a paradigm in which visual changes were progressively introduced into detailed real-world scenes without the use of visual disruption. Oscillatory activity associated with undetected changes was contrasted with activity linked to their absence using standardized low-resolution brain electromagnetic tomography (sLORETA). Although an insufficient number of detections were present to allow for analysis of actual change detection, increased beta-2 activity in the right inferior parietal lobule (rIPL), a region repeatedly associated with change blindness in disruption paradigms, followed by increased theta activity in the right superior temporal gyrus (rSTG) was noted in undetected visual change responses relative to the absence of change. We propose the rIPL beta-2 activity to be associated with orienting attention toward visual changes, with the subsequent rise in rSTG theta activity being potentially linked with updating preconscious perceptual memory representations. NEW & NOTEWORTHY This study represents the first neuroimaging-based investigation of gradual change blindness, a visual phenomenon that has significant potential to shed light on the processes underlying visual detection and conscious perception. The use of gradual change materials is reflective of real-world visual phenomena and allows for cleaner isolation of signals associated with the neural registration of change relative to the use of abrupt change transients.

Study of Photon Emission with the Fission Event Generator FREYA

NASA Astrophysics Data System (ADS)

Vogt, Ramona; Randrup, Jorgen

2017-09-01

The event-by-event fission model FREYA is employed to study photon observables. The model has been expanded beyond the simple statistical photon emission reported previously to include the discrete RIPL-3 lines. We update these prior results and discuss the sensitivity of the results to the FREYA input parameters sensitive to photon observables. The work of R.V. was performed under the auspices of the U.S. DOE by LLNL Contract DE-AC52-07NA27344, that of J.R. by LBNL Contract DE-AC02-05CH11231. The authors thank NNSA Defense Nuclear Nonproliferation R&D for support.

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

Verbeke, J. M.; Randrup, J.; Vogt, R.

The purpose of this paper is to present the main differences between FREYA versions 1.0 and 2.0.2. FREYA (Fission Reaction Event Yield Algorithm) is a fission event generator which models complete fission events. As such, it automatically includes fluctuations as well as correlations between observables, resulting from conservation of energy and momentum. The main differences between the two versions are: additional fissionable isotopes, angular momentum conservation, Giant Dipole Resonance form factor for the statistical emission of photons, improved treatment of fission photon emission using RIPL database, and dependence on the incident neutron direction. FREYA 2.0.2 has been integrated into themore » LLNL Fission Library 2.0.2, which has itself been integrated into MCNP6.2, TRIPOLI-4.10, and can be called from Geant4.10.« less

Fission Reaction Event Yield Algorithm FREYA 2.0.2

DOE PAGES

Verbeke, J. M.; Randrup, J.; Vogt, R.

2017-09-01

The purpose of this paper is to present the main differences between FREYA versions 1.0 and 2.0.2. FREYA (Fission Reaction Event Yield Algorithm) is a fission event generator which models complete fission events. As such, it automatically includes fluctuations as well as correlations between observables, resulting from conservation of energy and momentum. The main differences between the two versions are: additional fissionable isotopes, angular momentum conservation, Giant Dipole Resonance form factor for the statistical emission of photons, improved treatment of fission photon emission using RIPL database, and dependence on the incident neutron direction. FREYA 2.0.2 has been integrated into themore » LLNL Fission Library 2.0.2, which has itself been integrated into MCNP6.2, TRIPOLI-4.10, and can be called from Geant4.10.« less

Structure for Storing Properties of Particles (PoP)

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

Patel, N. R.; Mattoon, C. M.; Beck, B. R.

2014-06-01

Some evaluated nuclear databases are critical for applications such as nuclear energy, nuclear medicine, homeland security, and stockpile stewardship. Particle masses, nuclear excitation levels, and other “Properties of Particles” are essential for making evaluated nuclear databases. Currently, these properties are obtained from various databases that are stored in outdated formats. Moreover, the “Properties of Particles” (PoP) structure is being designed that will allow storing all information for one or more particles in a single place, so that each evaluation, simulation, model calculation, etc. can link to the same data. Information provided in PoP will include properties of nuclei, gammas andmore » electrons (along with other particles such as pions, as evaluations extend to higher energies). Presently, PoP includes masses from the Atomic Mass Evaluation version 2003 (AME2003), and level schemes and gamma decays from the Reference Input Parameter Library (RIPL-3). The data are stored in a hierarchical structure. An example of how PoP stores nuclear masses and energy levels will be presented here.« less

Structure for Storing Properties of Particles (PoP)

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

Patel, N.R., E-mail: infinidhi@llnl.gov; Mattoon, C.M.; Beck, B.R.

2014-06-15

Evaluated nuclear databases are critical for applications such as nuclear energy, nuclear medicine, homeland security, and stockpile stewardship. Particle masses, nuclear excitation levels, and other “Properties of Particles” are essential for making evaluated nuclear databases. Currently, these properties are obtained from various databases that are stored in outdated formats. A “Properties of Particles” (PoP) structure is being designed that will allow storing all information for one or more particles in a single place, so that each evaluation, simulation, model calculation, etc. can link to the same data. Information provided in PoP will include properties of nuclei, gammas and electrons (alongmore » with other particles such as pions, as evaluations extend to higher energies). Presently, PoP includes masses from the Atomic Mass Evaluation version 2003 (AME2003), and level schemes and gamma decays from the Reference Input Parameter Library (RIPL-3). The data are stored in a hierarchical structure. An example of how PoP stores nuclear masses and energy levels will be presented here.« less

Unsupervised Transfer Learning via Multi-Scale Convolutional Sparse Coding for Biomedical Applications

PubMed Central

Chang, Hang; Han, Ju; Zhong, Cheng; Snijders, Antoine M.; Mao, Jian-Hua

2017-01-01

The capabilities of (I) learning transferable knowledge across domains; and (II) fine-tuning the pre-learned base knowledge towards tasks with considerably smaller data scale are extremely important. Many of the existing transfer learning techniques are supervised approaches, among which deep learning has the demonstrated power of learning domain transferrable knowledge with large scale network trained on massive amounts of labeled data. However, in many biomedical tasks, both the data and the corresponding label can be very limited, where the unsupervised transfer learning capability is urgently needed. In this paper, we proposed a novel multi-scale convolutional sparse coding (MSCSC) method, that (I) automatically learns filter banks at different scales in a joint fashion with enforced scale-specificity of learned patterns; and (II) provides an unsupervised solution for learning transferable base knowledge and fine-tuning it towards target tasks. Extensive experimental evaluation of MSCSC demonstrates the effectiveness of the proposed MSCSC in both regular and transfer learning tasks in various biomedical domains. PMID:28129148

Active Learning: The Importance of Developing a Comprehensive Measure

ERIC Educational Resources Information Center

Carr, Rodney; Palmer, Stuart; Hagel, Pauline

2015-01-01

This article reports on an investigation into the validity of a widely used scale for measuring the extent to which higher education students employ active learning strategies. The scale is the active learning scale in the Australasian Survey of Student Engagement. This scale is based on the Active and Collaborative Learning scale of the National…

Large-scale Labeled Datasets to Fuel Earth Science Deep Learning Applications

NASA Astrophysics Data System (ADS)

Maskey, M.; Ramachandran, R.; Miller, J.

2017-12-01

Deep learning has revolutionized computer vision and natural language processing with various algorithms scaled using high-performance computing. However, generic large-scale labeled datasets such as the ImageNet are the fuel that drives the impressive accuracy of deep learning results. Large-scale labeled datasets already exist in domains such as medical science, but creating them in the Earth science domain is a challenge. While there are ways to apply deep learning using limited labeled datasets, there is a need in the Earth sciences for creating large-scale labeled datasets for benchmarking and scaling deep learning applications. At the NASA Marshall Space Flight Center, we are using deep learning for a variety of Earth science applications where we have encountered the need for large-scale labeled datasets. We will discuss our approaches for creating such datasets and why these datasets are just as valuable as deep learning algorithms. We will also describe successful usage of these large-scale labeled datasets with our deep learning based applications.

An Integrated Scale for Measuring an Organizational Learning System

ERIC Educational Resources Information Center

Jyothibabu, C.; Farooq, Ayesha; Pradhan, Bibhuti Bhusan

2010-01-01

Purpose: The purpose of this paper is to develop an integrated measurement scale for an organizational learning system by capturing the learning enablers, learning results and performance outcome in an organization. Design/methodology/approach: A new measurement scale was developed by integrating and modifying two existing scales, identified…

Investigating Learning through Work: Learning Environment Scale & User Guide to the Provider. Support Document

ERIC Educational Resources Information Center

Hawke, Geof; Chappell, Clive

2008-01-01

This Support Document was produced by the authors based on their research for the report, "Investigating Learning through Work: The Development of the 'Provider Learning Environment Scale'" (ED503392). It provides readers with a complete copy of the "Provider Learning Environment Scale" (version 2.0); and an accompanying user…

Development and examination of the psychometric properties of the Learning Experience Scale in nursing.

PubMed

Takase, Miyuki; Imai, Takiko; Uemura, Chizuru

2016-06-01

This paper examines the psychometric properties of the Learning Experience Scale. A survey method was used to collect data from a total of 502 nurses. Data were analyzed by factor analysis and the known-groups technique to examine the construct validity of the scale. In addition, internal consistency was evaluated by Cronbach's alpha, and stability was examined by test-retest correlation. Factor analysis showed that the Learning Experience Scale consisted of five factors: learning from practice, others, training, feedback, and reflection. The scale also had the power to discriminate between nurses with high and low levels of nursing competence. The internal consistency and the stability of the scale were also acceptable. The Learning Experience Scale is a valid and reliable instrument, and helps organizations to effectively design learning interventions for nurses. © 2015 Wiley Publishing Asia Pty Ltd.

A SCALE-UP Mock-Up: Comparison of Student Learning Gains in High- and Low-Tech Active-Learning Environments

ERIC Educational Resources Information Center

Soneral, Paula A. G.; Wyse, Sara A.

2017-01-01

Student-centered learning environments with upside-down pedagogies (SCALE-UP) are widely implemented at institutions across the country, and learning gains from these classrooms have been well documented. This study investigates the specific design feature(s) of the SCALE-UP classroom most conducive to teaching and learning. Using pilot survey…

The Learning Loss Scale as an Assessment Tool: An Empirical Examination of Convergent Validity with Performative Measures

ERIC Educational Resources Information Center

Hooker, John; Denker, Katherine

2014-01-01

Higher education has placed an increasingly greater value on assessment. The Learning Loss Scale may be an appropriate tool to assess learning across disciplines. In this paper, we review the culture of assessment, conceptualizations of cognitive learning, the Learning Loss Scale, and a theoretical explanation, and then we test this measure to…

Measuring strategies for learning regulation in medical education: scale reliability and dimensionality in a Swedish sample.

PubMed

Edelbring, Samuel

2012-08-15

The degree of learners' self-regulated learning and dependence on external regulation influence learning processes in higher education. These regulation strategies are commonly measured by questionnaires developed in other settings than in which they are being used, thereby requiring renewed validation. The aim of this study was to psychometrically evaluate the learning regulation strategy scales from the Inventory of Learning Styles with Swedish medical students (N = 206). The regulation scales were evaluated regarding their reliability, scale dimensionality and interrelations. The primary evaluation focused on dimensionality and was performed with Mokken scale analysis. To assist future scale refinement, additional item analysis, such as item-to-scale correlations, was performed. Scale scores in the Swedish sample displayed good reliability in relation to published results: Cronbach's alpha: 0.82, 0.72, and 0.65 for self-regulation, external regulation and lack of regulation scales respectively. The dimensionalities in scales were adequate for self-regulation and its subscales, whereas external regulation and lack of regulation displayed less unidimensionality. The established theoretical scales were largely replicated in the exploratory analysis. The item analysis identified two items that contributed little to their respective scales. The results indicate that these scales have an adequate capacity for detecting the three theoretically proposed learning regulation strategies in the medical education sample. Further construct validity should be sought by interpreting scale scores in relation to specific learning activities. Using established scales for measuring students' regulation strategies enables a broad empirical base for increasing knowledge on regulation strategies in relation to different disciplinary settings and contributes to theoretical development.

Factors affecting metacognition of undergraduate nursing students in a blended learning environment.

PubMed

Hsu, Li-Ling; Hsieh, Suh-Ing

2014-06-01

This paper is a report of a study to examine the influence of demographic, learning involvement and learning performance variables on metacognition of undergraduate nursing students in a blended learning environment. A cross-sectional, correlational survey design was adopted. Ninety-nine students invited to participate in the study were enrolled in a professional nursing ethics course at a public nursing college. The blended learning intervention is basically an assimilation of classroom learning and online learning. Simple linear regression showed significant associations between frequency of online dialogues, the Case Analysis Attitude Scale scores, the Case Analysis Self Evaluation Scale scores, the Blended Learning Satisfaction Scale scores, and Metacognition Scale scores. Multiple linear regression indicated that frequency of online dialogues, the Case Analysis Self Evaluation Scale and the Blended Learning Satisfaction Scale were significant independent predictors of metacognition. Overall, the model accounted for almost half of the variance in metacognition. The blended learning module developed in this study proved successful in the end as a catalyst for the exercising of metacognitive abilities by the sample of nursing students. Learners are able to develop metacognitive ability in comprehension, argumentation, reasoning and various forms of higher order thinking through the blended learning process. © 2013 Wiley Publishing Asia Pty Ltd.

Millions Learning: Scaling up Quality Education in Developing Countries

ERIC Educational Resources Information Center

Robinson, Jenny Perlman; Winthrop, Rebecca

2016-01-01

"Millions Learning: Scaling up Quality Education in Developing Countries" tells the story of where and how quality education has scaled in low- and middle-income countries. The story emerges from wide-ranging research on scaling and learning, including 14 in-depth case studies from around the globe. Ultimately, "Millions…

Effects of a blended learning module on self-reported learning performances in baccalaureate nursing students.

PubMed

Hsu, Li-Ling; Hsieh, Suh-Ing

2011-11-01

This article is a report of a quasi-experimental study of the effects of blended modules on nursing students' learning of ethics course content. There is yet to be an empirically supported mix of strategies on which a working blended learning model can be built for nursing education. This was a two-group pretest and post-test quasi-experimental study in 2008 involving a total of 233 students. Two of the five clusters were designated the experimental group to experience a blended learning model, and the rest were designated the control group to be given classroom lectures only. The Case Analysis Attitude Scale, Case Analysis Self-Evaluation Scale, Blended Learning Satisfaction Scale, and Metacognition Scale were used in pretests and post-tests for the students to rate their own performance. In this study, the experimental group did not register significantly higher mean scores on the Case Analysis Attitude Scale at post-test and higher mean ranks on the Case Analysis Self-Evaluation Scale, the Blended Learning Satisfaction Scale, and the Metacognition Scale at post-test than the control group. Moreover, the experimental group registered significant progress in the mean ranks on the Case Analysis Self-Evaluation Scale and the Metacognition Scale from pretest to post-test. No between-subjects effects of four scales at post-test were found. Newly developed course modules, be it blended learning or a combination of traditional and innovative components, should be tested repeatedly for effectiveness and popularity for the purpose of facilitating the ultimate creation of a most effective course module for nursing education. © 2011 Blackwell Publishing Ltd.

Development and validation of the Simulation Learning Effectiveness Scale for nursing students.

PubMed

Pai, Hsiang-Chu

2016-11-01

To develop and validate the Simulation Learning Effectiveness Scale, which is based on Bandura's social cognitive theory. A simulation programme is a significant teaching strategy for nursing students. Nevertheless, there are few evidence-based instruments that validate the effectiveness of simulation learning in Taiwan. This is a quantitative descriptive design. In Study 1, a nonprobability convenience sample of 151 student nurses completed the Simulation Learning Effectiveness Scale. Exploratory factor analysis was used to examine the factor structure of the instrument. In Study 2, which involved 365 student nurses, confirmatory factor analysis and structural equation modelling were used to analyse the construct validity of the Simulation Learning Effectiveness Scale. In Study 1, exploratory factor analysis yielded three components: self-regulation, self-efficacy and self-motivation. The three factors explained 29·09, 27·74 and 19·32% of the variance, respectively. The final 12-item instrument with the three factors explained 76·15% of variance. Cronbach's alpha was 0·94. In Study 2, confirmatory factor analysis identified a second-order factor termed Simulation Learning Effectiveness Scale. Goodness-of-fit indices showed an acceptable fit overall with the full model (χ 2 /df (51) = 3·54, comparative fit index = 0·96, Tucker-Lewis index = 0·95 and standardised root-mean-square residual = 0·035). In addition, teacher's competence was found to encourage learning, and self-reflection and insight were significantly and positively associated with Simulation Learning Effectiveness Scale. Teacher's competence in encouraging learning also was significantly and positively associated with self-reflection and insight. Overall, theses variable explained 21·9% of the variance in the student's learning effectiveness. The Simulation Learning Effectiveness Scale is a reliable and valid means to assess simulation learning effectiveness for nursing students. The Simulation Learning Effectiveness Scale can be used to examine nursing students' learning effectiveness and serve as a basis to improve student's learning efficiency through simulation programmes. Future implementation research that focuses on the relationship between learning effectiveness and nursing competence in nursing students is recommended. © 2016 John Wiley & Sons Ltd.

Perceptions of Learning Effectiveness in M-Learning: Scale Development and Student Awareness

ERIC Educational Resources Information Center

Chang, Wen-Hui; Liu, Yuan-Chen; Huang, Tzu-Hua

2017-01-01

The purpose of this study is to develop a multi-dimensional scale to measure students' awareness of key competencies for M-learning and to test its reliability and validity. The Key Competencies of Mobile Learning Scale (KCMLS) was determined via confirmatory factor analysis to have four dimensions: team collaboration, creative thinking, critical…

Goal-oriented robot navigation learning using a multi-scale space representation.

PubMed

Llofriu, M; Tejera, G; Contreras, M; Pelc, T; Fellous, J M; Weitzenfeld, A

2015-12-01

There has been extensive research in recent years on the multi-scale nature of hippocampal place cells and entorhinal grid cells encoding which led to many speculations on their role in spatial cognition. In this paper we focus on the multi-scale nature of place cells and how they contribute to faster learning during goal-oriented navigation when compared to a spatial cognition system composed of single scale place cells. The task consists of a circular arena with a fixed goal location, in which a robot is trained to find the shortest path to the goal after a number of learning trials. Synaptic connections are modified using a reinforcement learning paradigm adapted to the place cells multi-scale architecture. The model is evaluated in both simulation and physical robots. We find that larger scale and combined multi-scale representations favor goal-oriented navigation task learning. Copyright © 2015 Elsevier Ltd. All rights reserved.

Multidimensionality of Teachers' Graded Responses for Preschoolers' Stylistic Learning Behavior: The Learning-to-Learn Scales

ERIC Educational Resources Information Center

McDermott, Paul A.; Fantuzzo, John W.; Warley, Heather P.; Waterman, Clare; Angelo, Lauren E.; Gadsden, Vivian L.; Sekino, Yumiko

2011-01-01

Assessment of preschool learning behavior has become very popular as a mechanism to inform cognitive development and promote successful interventions. The most widely used measures offer sound predictions but distinguish only a few types of stylistic learning and lack sensitive growth detection. The Learning-to-Learn Scales was designed to…

[Relationship between self-directed learning with learning styles and strategies in medical students].

PubMed

Márquez U, Carolina; Fasce H, Eduardo; Pérez V, Cristhian; Ortega B, Javiera; Parra P, Paula; Ortiz M, Liliana; Matus B, Olga; Ibáñez G, Pilar

2014-11-01

Self-directed learning (SDL) skills are particularly important in medical education, considering that physicians should be able to regulate their own learning experiences. To evaluate the relationship between learning styles and strategies and self-directed learning in medical students. One hundred ninety nine first year medical students (120 males) participated in the study. Preparation for Independent Learning (EPAI) scale was used to assess self-direction. Schmeck learning strategies scale and Honey and Alonso (CHAEA) scales were used to evaluate learning styles and strategies. Theoretical learning style and deep processing learning strategy had positive correlations with self-direct learning. Medical students with theoretical styles and low retention of facts are those with greater ability to self-direct their learning. Further studies are required to determine the relationship between learning styles and strategies with SDL in medical students. The acquired knowledge will allow the adjustment of teaching strategies to encourage SDL.

Reliability and Validity Study of the Mobile Learning Adoption Scale Developed Based on the Diffusion of Innovations Theory

ERIC Educational Resources Information Center

Celik, Ismail; Sahin, Ismail; Aydin, Mustafa

2014-01-01

In this study, a mobile learning adoption scale (MLAS) was developed on the basis of Rogers' (2003) Diffusion of Innovations Theory. The scale that was developed consists of four sections. These sections are as follows: Stages in the innovation-decision process, Types of m-learning decision, Innovativeness level and attributes of m-learning. There…

Reliability and Validity Study of the Mobile Learning Adoption Scale Developed Based on the Diffusion of Innovations Theory

ERIC Educational Resources Information Center

Celik, Ismail; Sahin, Ismail; Aydin, Mustafa

2014-01-01

In this study, a mobile learning adoption scale (MLAS) was developed on the basis of Rogers' (2003) Diffusion of Innovations Theory. The scale that was developed consists of four sections. These sections are as follows: Stages in the innovation-decision process, Types of m-learning decision, Innovativeness level and attributes of m-learning.…

Validation of an instrument to measure students' motivation and self-regulation towards technology learning

NASA Astrophysics Data System (ADS)

Liou, Pey-Yan; Kuo, Pei-Jung

2014-05-01

Background:Few studies have examined students' attitudinal perceptions of technology. There is no appropriate instrument to measure senior high school students' motivation and self-regulation toward technology learning among the current existing instruments in the field of technology education. Purpose:The present study is to validate an instrument for assessing senior high school students' motivation and self-regulation towards technology learning. Sample:A total of 1822 Taiwanese senior high school students (1020 males and 802 females) responded to the newly developed instrument. Design and method:The Motivation and Self-regulation towards Technology Learning (MSRTL) instrument was developed based on the previous instruments measuring students' motivation and self-regulation towards science learning. Exploratory and confirmatory factor analyses were utilized to investigate the structure of the items. Cronbach's alpha was applied for measuring the internal consistency of each scale. Furthermore, multivariate analysis of variance was used to examine gender differences. Results:Seven scales, including 'Technology learning self-efficacy,' 'Technology learning value,' 'Technology active learning strategies,' 'Technology learning environment stimulation,' 'Technology learning goal-orientation,' 'Technology learning self-regulation-triggering,' and 'Technology learning self-regulation-implementing' were confirmed for the MSRTL instrument. Moreover, the results also showed that male and female students did not present the same degree of preference in all of the scales. Conclusions:The MSRTL instrument composed of seven scales corresponding to 39 items was shown to be valid based on validity and reliability analyses. While male students tended to express more positive and active performance in the motivation scales, no gender differences were found in the self-regulation scales.

The Development of an Objective Scale to Measure a Transpersonal Orientation to Learning.

ERIC Educational Resources Information Center

Shapiro, Stewart B.; Fitzgerald, Louise F.

1989-01-01

A 40-item Likert scale, Transpersonal Orientation to Learning, was developed to investigate transpersonal (spiritual or mystical) orientation. The scale was validated via administration to 166 graduate students in education to determine their beliefs about the development of spiritual potential in learning environments. Satisfactory reliability…

Some Thoughts on "Using Learning Progressions to Design Vertical Scales That Support Coherent Inferences about Student Growth"

ERIC Educational Resources Information Center

Kingston, Neal M.; Broaddus, Angela; Lao, Hongling

2015-01-01

Briggs and Peck (2015) have written a thought-provoking article on the use of learning progressions in the design of vertical scales that support inferences about student growth. Organized learning models, including learning trajectories, learning progressions, and learning maps have been the subject of research for many years, but more recently…

The Validation of the Active Learning in Health Professions Scale

ERIC Educational Resources Information Center

Kammer, Rebecca; Schreiner, Laurie; Kim, Young K.; Denial, Aurora

2015-01-01

There is a need for an assessment tool for evaluating the effectiveness of active learning strategies such as problem-based learning in promoting deep learning and clinical reasoning skills within the dual environments of didactic and clinical settings in health professions education. The Active Learning in Health Professions Scale (ALPHS)…

Development of a Scale to Measure Lifelong Learning

ERIC Educational Resources Information Center

Kirby, John R.; Knapper, Christopher; Lamon, Patrick; Egnatoff, William J.

2010-01-01

Primary objective: to develop a scale to measure students' disposition to engage in lifelong learning. Research design, methods and procedures: using items that reflected the components of lifelong learning, we constructed a 14-item scale that was completed by 309 university and vocational college students, who also completed a measure of deep and…

The Development and Validation of the Online Learning Climate Scale (OLCS)

ERIC Educational Resources Information Center

Kaufmann, Renee; Sellnow, Deanna D.; Frisby, Brandi N.

2016-01-01

With the increasing popularity of online learning in higher education comes a need to examine students' perceptions about classroom climate in these environments. This two-part study proposes the online learning climate scale (OLCS) for doing so. Informed by both instructional communication and education, the scale consists of several variables…

The Learning Behaviors Scale: National Standardization in Trinidad and Tobago

ERIC Educational Resources Information Center

Chao, Jessica L.; McDermott, Paul A.; Watkins, Marley W.; Drogalis, Anna Rhoad; Worrell, Frank C.; Hall, Tracey E.

2018-01-01

This study reports on the national standardization and validation of the Learning Behaviors Scale (LBS) for use in Trinidad and Tobago. The LBS is a teacher rating scale centering on observable behaviors relevant to identifying childhood approaches to classroom learning. Teachers observed a stratified sample of 900 students across the islands'…

Setting Learning Analytics in Context: Overcoming the Barriers to Large-Scale Adoption

ERIC Educational Resources Information Center

Ferguson, Rebecca; Macfadyen, Leah P.; Clow, Doug; Tynan, Belinda; Alexander, Shirley; Dawson, Shane

2014-01-01

A core goal for most learning analytic projects is to move from small-scale research towards broader institutional implementation, but this introduces a new set of challenges because institutions are stable systems, resistant to change. To avoid failure and maximize success, implementation of learning analytics at scale requires explicit and…

Taking Teacher Learning to Scale: Sharing Knowledge and Spreading Ideas across Geographies

ERIC Educational Resources Information Center

Klein, Emily J.; Jaffe-Walter, Reva; Riordan, Megan

2016-01-01

This research reports data from case studies of three intermediary organizations facing the challenge of scaling up teacher learning. The turn of the century launched scaling-up efforts of all three intermediaries, growing from intimate groups, where founding teachers and staff were key supports for teacher learning, to large multistate…

Measuring Self-Regulation in Self-Paced Open and Distance Learning Environments

ERIC Educational Resources Information Center

Kocdar, Serpil; Karadeniz, Abdulkadir; Bozkurt, Aras; Buyuk, Koksal

2018-01-01

Previous studies have described many scales for measuring self-regulation; however, no scale has been developed specifically for self-paced open and distance learning environments. Therefore, the aim of this study is to develop a scale for determining the self-regulated learning skills of distance learners in selfpaced open and distance learning…

Large-Scale Linear Optimization through Machine Learning: From Theory to Practical System Design and Implementation

DTIC Science & Technology

2016-08-10

AFRL-AFOSR-JP-TR-2016-0073 Large-scale Linear Optimization through Machine Learning: From Theory to Practical System Design and Implementation ...2016 4.  TITLE AND SUBTITLE Large-scale Linear Optimization through Machine Learning: From Theory to Practical System Design and Implementation 5a...performances on various machine learning tasks and it naturally lends itself to fast parallel implementations . Despite this, very little work has been

Does the Room Matter? Active Learning in Traditional and Enhanced Lecture Spaces

PubMed Central

Stoltzfus, Jon R.; Libarkin, Julie

2016-01-01

SCALE-UP–type classrooms, originating with the Student-Centered Active Learning Environment with Upside-down Pedagogies project, are designed to facilitate active learning by maximizing opportunities for interactions between students and embedding technology in the classroom. Positive impacts when active learning replaces lecture are well documented, both in traditional lecture halls and SCALE-UP–type classrooms. However, few studies have carefully analyzed student outcomes when comparable active learning–based instruction takes place in a traditional lecture hall and a SCALE-UP–type classroom. Using a quasi-experimental design, we compared student perceptions and performance between sections of a nonmajors biology course, one taught in a traditional lecture hall and one taught in a SCALE-UP–type classroom. Instruction in both sections followed a flipped model that relied heavily on cooperative learning and was as identical as possible given the infrastructure differences between classrooms. Results showed that students in both sections thought that SCALE-UP infrastructure would enhance performance. However, measures of actual student performance showed no difference between the two sections. We conclude that, while SCALE-UP–type classrooms may facilitate implementation of active learning, it is the active learning and not the SCALE-UP infrastructure that enhances student performance. As a consequence, we suggest that institutions can modify existing classrooms to enhance student engagement without incorporating expensive technology. PMID:27909018

A SCALE-UP Mock-Up: Comparison of Student Learning Gains in High- and Low-Tech Active-Learning Environments

PubMed Central

Soneral, Paula A. G.; Wyse, Sara A.

2017-01-01

Student-centered learning environments with upside-down pedagogies (SCALE-UP) are widely implemented at institutions across the country, and learning gains from these classrooms have been well documented. This study investigates the specific design feature(s) of the SCALE-UP classroom most conducive to teaching and learning. Using pilot survey data from instructors and students to prioritize the most salient SCALE-UP classroom features, we created a low-tech “Mock-up” version of this classroom and tested the impact of these features on student learning, attitudes, and satisfaction using a quasi-­experimental setup. The same instructor taught two sections of an introductory biology course in the SCALE-UP and Mock-up rooms. Although students in both sections were equivalent in terms of gender, grade point average, incoming ACT, and drop/fail/withdraw rate, the Mock-up classroom enrolled significantly more freshmen. Controlling for class standing, multiple regression modeling revealed no significant differences in exam, in-class, preclass, and Introduction to Molecular and Cellular Biology Concept Inventory scores between the SCALE-UP and Mock-up classrooms. Thematic analysis of student comments highlighted that collaboration and whiteboards enhanced the learning experience, but technology was not important. Student satisfaction and attitudes were comparable. These results suggest that the benefits of a SCALE-UP experience can be achieved at lower cost without technology features. PMID:28213582

Challenges in Modeling and Measuring Learning Trajectories

ERIC Educational Resources Information Center

Confrey, Jere; Jones, R. Seth; Gianopulos, Garron

2015-01-01

Briggs and Peck make a compelling case for creating new, more intuitive measures of learning, based on creating vertical scales using learning trajectories (LT) in place of "domain sampling." We believe that the importance of creating measurement scales that coordinate recognizable landmarks in learning trajectories with interval scales…

Competitive Processes in Cross-Situational Word Learning

PubMed Central

Yurovsky, Daniel; Yu, Chen; Smith, Linda B.

2013-01-01

Cross-situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. But the information that learners pick up from these regularities is dependent on their learning mechanism. This paper investigates the role of one type of mechanism in statistical word learning: competition. Competitive mechanisms would allow learners to find the signal in noisy input, and would help to explain the speed with which learners succeed in statistical learning tasks. Because cross-situational word learning provides information at multiple scales – both within and across trials/situations –learners could implement competition at either or both of these scales. A series of four experiments demonstrate that cross-situational learning involves competition at both levels of scale, and that these mechanisms interact to support rapid learning. The impact of both of these mechanisms is then considered from the perspective of a process-level understanding of cross-situational learning. PMID:23607610

Competitive processes in cross-situational word learning.

PubMed

Yurovsky, Daniel; Yu, Chen; Smith, Linda B

2013-07-01

Cross-situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. However, the information that learners pick up from these regularities is dependent on their learning mechanism. This article investigates the role of one type of mechanism in statistical word learning: competition. Competitive mechanisms would allow learners to find the signal in noisy input and would help to explain the speed with which learners succeed in statistical learning tasks. Because cross-situational word learning provides information at multiple scales-both within and across trials/situations-learners could implement competition at either or both of these scales. A series of four experiments demonstrate that cross-situational learning involves competition at both levels of scale, and that these mechanisms interact to support rapid learning. The impact of both of these mechanisms is considered from the perspective of a process-level understanding of cross-situational learning. Copyright © 2013 Cognitive Science Society, Inc.

Economies of Scale and Scope in E-Learning

ERIC Educational Resources Information Center

Morris, David

2008-01-01

Economies of scale are often cited in the higher education literature as being one of the drivers for the deployment of e-learning. They are variously used to support the notions that higher education is becoming more global, that national policy towards e-learning should promote scale efficiencies, that larger institutions will be better able to…

A Study of Developing an Attitude Scale towards Authentic Learning Environments and Evaluation

ERIC Educational Resources Information Center

Çetinkaya, Murat

2018-01-01

The aim of the research is to improve a valid and reliable attributing scale which identifies authentic learning environments and evaluation attributes of the science teacher candidates. The study has been designed on the base of validity and reliability of the scale developed to evaluate the authentic learning environments. The research group is…

Effort-Reward Imbalance for Learning Is Associated with Fatigue in School Children

ERIC Educational Resources Information Center

Fukuda, Sanae; Yamano, Emi; Joudoi, Takako; Mizuno, Kei; Tanaka, Masaaki; Kawatani, Junko; Takano, Miyuki; Tomoda, Akemi; Imai-Matsumura, Kyoko; Miike, Teruhisa; Watanabe, Yasuyoshi

2010-01-01

We examined relationships among fatigue, sleep quality, and effort-reward imbalance for learning in school children. We developed an effort-reward for learning scale in school students and examined its reliability and validity. Self-administered surveys, including the effort reward for leaning scale and fatigue scale, were completed by 1,023…

An Operational Definition of Learning Disabilities (Cognitive Domain) Using WISC Full Scale IQ and Peabody Individual Achievement Test Scores

ERIC Educational Resources Information Center

Brenton, Beatrice White; Gilmore, Doug

1976-01-01

An operational index of discrepancy to assist in identifying learning disabilities was derived using the Full Scale IQ, Wechsler Intelligence Scale for Children, and relevant subtest scores on the Peabody Individual Achievement Test. Considerable caution should be exercised when classifying children, especially females, as learning disabled.…

Social Emotional Learning Skills and Educational Stress

ERIC Educational Resources Information Center

Çelik, Ismail

2013-01-01

The basic aim of this research is to examine the predicting role of social emotional learning skills in educational stress. The participants were 238 adolescents at high school. In this study, the Social Emotional Learning Skills Scale and the Educational Stress Scale were used. The relationships between social emotional learning skills and…

Development and testing of the CALDs and CLES+T scales for international nursing students' clinical learning environments.

PubMed

Mikkonen, Kristina; Elo, Satu; Miettunen, Jouko; Saarikoski, Mikko; Kääriäinen, Maria

2017-08-01

The purpose of this study was to develop and test the psychometric properties of the new Cultural and Linguistic Diversity scale, which is designed to be used with the newly validated Clinical Learning Environment, Supervision and Nurse Teacher scale for assessing international nursing students' clinical learning environments. In various developed countries, clinical placements are known to present challenges in the professional development of international nursing students. A cross-sectional survey. Data were collected from eight Finnish universities of applied sciences offering nursing degree courses taught in English during 2015-2016. All the relevant students (N = 664) were invited and 50% chose to participate. Of the total data submitted by the participants, 28% were used for scale validation. The construct validity of the two scales was tested by exploratory factor analysis, while their validity with respect to convergence and discriminability was assessed using Spearman's correlation. Construct validation of the Clinical Learning Environment, Supervision and Nurse Teacher scale yielded an eight-factor model with 34 items, while validation of the Cultural and Linguistic Diversity scale yielded a five-factor model with 21 items. A new scale was developed to improve evidence-based mentorship of international nursing students in clinical learning environments. The instrument will be useful to educators seeking to identify factors that affect the learning of international students. © 2017 John Wiley & Sons Ltd.

Learning Across Time Scales: Science, Policy, Management, and Communication

NASA Astrophysics Data System (ADS)

Stewart, M. M.

2002-05-01

This presentation will draw together common themes raised in the session and discuss lessons learned across time scales and their implications for managers and policy makers concerned with both climate change and variability. Session themes will be examined in the context of the upcoming World Summit on Sustainable Development (WSSD) and considered as opportunities for linking climate change policy discussions with lessons learned from the study of adaptation on seasonal to interannual time scales. The presentation will raise questions about future research directions, discuss recommendations for promoting learning across time scales, and explore options for better communicating the links between climate change and variability.

Active Learning of Classification Models with Likert-Scale Feedback.

PubMed

Xue, Yanbing; Hauskrecht, Milos

2017-01-01

Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for building the classification models in practice and for applying them to a variety of classification tasks. In this paper, we develop a new active learning framework that combines two strategies to reduce the annotation effort. First, it relies on label uncertainty information obtained from the human in terms of the Likert-scale feedback. Second, it uses active learning to annotate examples with the greatest expected change. We propose a Bayesian approach to calculate the expectation and an incremental SVM solver to reduce the time complexity of the solvers. We show the combination of our active learning strategy and the Likert-scale feedback can learn classification models more rapidly and with a smaller number of labeled instances than methods that rely on either Likert-scale labels or active learning alone.

Active Learning of Classification Models with Likert-Scale Feedback

PubMed Central

Xue, Yanbing; Hauskrecht, Milos

2017-01-01

Annotation of classification data by humans can be a time-consuming and tedious process. Finding ways of reducing the annotation effort is critical for building the classification models in practice and for applying them to a variety of classification tasks. In this paper, we develop a new active learning framework that combines two strategies to reduce the annotation effort. First, it relies on label uncertainty information obtained from the human in terms of the Likert-scale feedback. Second, it uses active learning to annotate examples with the greatest expected change. We propose a Bayesian approach to calculate the expectation and an incremental SVM solver to reduce the time complexity of the solvers. We show the combination of our active learning strategy and the Likert-scale feedback can learn classification models more rapidly and with a smaller number of labeled instances than methods that rely on either Likert-scale labels or active learning alone. PMID:28979827

Emotional Presence in Online Learning Scale: A Scale Development Study

ERIC Educational Resources Information Center

Sarsar, Firat; Kisla, Tarik

2016-01-01

Although emotions are not a new topic in learning environments, the emerging technologies have changed not only the type of learning environments but also the perspectives of emotions in learning environments. This study designed to develop a survey to assist online instructors to understand students' emotional statement in online learning…

A Teacher-Friendly Instrument in Identifying Learning Styles in the Classroom.

ERIC Educational Resources Information Center

Pitts, Joseph I.

This report describes a reliability and validity study on a learning styles instrument that was developed based on the Dunn, Dunn, & Price model. That model included 104 Likert five-point scale items for investigating 24 scales grouped into five categories considered likely to affect learning. The Learning Style Preference Inventory (LSPI)…

M-Learning: A Psychometric Study of the Mobile Learning Perception Scale and the Relationships between Teachers' Perceptions and School Level

ERIC Educational Resources Information Center

Roche, Allyn J.

2013-01-01

The purpose of this research was to evaluate the psychometric properties of Uzunboylu and Ozdamli (2011) Mobile Learning Perception Scale (MLPS) in order to determine whether it was an acceptable instrument to measure U.S. teachers' perception of mobile learning (m-learning) in the classroom. A second purpose was to determine if relationships…

Proposing an Educational Scaling-and-Diffusion Model for Inquiry-Based Learning Designs

ERIC Educational Resources Information Center

Hung, David; Lee, Shu-Shing

2015-01-01

Education cannot adopt the linear model of scaling used by the medical sciences. "Gold standards" cannot be replicated without considering process-in-learning, diversity, and student-variedness in classrooms. This article proposes a nuanced model of educational scaling-and-diffusion, describing the scaling (top-down supports) and…

Teachers' Concepts of Spatial Scale: An international comparison

NASA Astrophysics Data System (ADS)

Jones, M. Gail; Paechter, Manuela; Yen, Chiung-Fen; Gardner, Grant; Taylor, Amy; Tretter, Thomas

2013-09-01

Metric scale is an important concept taught as part of science curricula across different countries. This study explored metric and relative (body-length) scale concepts of inservice (N = 92) and preservice (N = 134) teachers from Austria, and Taiwan, and their concepts were compared with those of teachers from the USA. Participants completed three assessments: the Scale Anchoring Objects (SAO), Scale of Objects Questionnaire (SOQ), and a subsample of participants were interviewed with the Learning Scale Interview. A Rasch analysis was conducted with the SAO and SOQ and results showed that the Rasch model held for these assessments, indicating that there is an underlying common dimension to understanding scale. Further analyses showed that accuracy of knowledge of scale measured by the SAO and SOQ was not related to professional experience. There were significant differences in teachers' accuracy of scale concepts by nationality. This was true for both metric and body-length SAO assessments. Post hoc comparisons showed that the Austrian and Taiwanese participants were significantly more accurate than the US sample on the SAO and SOQ. The Austrian participants scored significantly higher than the US and the Taiwanese participants. The results of the interviews showed that the Taiwanese experienced teacher participants were more likely to report learning size and scale through in-school experiences than the Austrian or the US participants. US teachers reported learning size and scale most often through participating in hobbies and sports, Taiwanese teachers reported learning scale through sports and reading, and Austrian teachers most often noted that they learned about scale through travel.

A Preliminary Analysis of the Theoretical Parameters of Organizaational Learning.

DTIC Science & Technology

1995-09-01

PARAMETERS OF ORGANIZATIONAL LEARNING THESIS Presented to the Faculty of the Graduate School of Logistics and Acquisition Management of the Air...Organizational Learning Parameters in the Knowledge Acquisition Category 2~™ 2-3. Organizational Learning Parameters in the Information Distribution Category...Learning Refined Scale 4-94 4-145. Composition of Refined Scale 4 Knowledge Flow 4-95 4-146. Cronbach’s Alpha Statistics for the Complete Knowledge Flow

Does the Room Matter? Active Learning in Traditional and Enhanced Lecture Spaces.

PubMed

Stoltzfus, Jon R; Libarkin, Julie

2016-01-01

SCALE-UP-type classrooms, originating with the Student-Centered Active Learning Environment with Upside-down Pedagogies project, are designed to facilitate active learning by maximizing opportunities for interactions between students and embedding technology in the classroom. Positive impacts when active learning replaces lecture are well documented, both in traditional lecture halls and SCALE-UP-type classrooms. However, few studies have carefully analyzed student outcomes when comparable active learning-based instruction takes place in a traditional lecture hall and a SCALE-UP-type classroom. Using a quasi-experimental design, we compared student perceptions and performance between sections of a nonmajors biology course, one taught in a traditional lecture hall and one taught in a SCALE-UP-type classroom. Instruction in both sections followed a flipped model that relied heavily on cooperative learning and was as identical as possible given the infrastructure differences between classrooms. Results showed that students in both sections thought that SCALE-UP infrastructure would enhance performance. However, measures of actual student performance showed no difference between the two sections. We conclude that, while SCALE-UP-type classrooms may facilitate implementation of active learning, it is the active learning and not the SCALE-UP infrastructure that enhances student performance. As a consequence, we suggest that institutions can modify existing classrooms to enhance student engagement without incorporating expensive technology. © 2016 J. R. Stoltzfus and J. Libarkin. CBE—Life Sciences Education © 2016 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

A Web-Based Educational Setting Supporting Individualized Learning, Collaborative Learning and Assessment

ERIC Educational Resources Information Center

Gogoulou, Agoritsa; Gouli, Evangelia; Grigoriadou, Maria; Samarakou, Maria; Chinou, Dionisia

2007-01-01

In this paper, we present a web-based educational setting, referred to as SCALE (Supporting Collaboration and Adaptation in a Learning Environment), which aims to serve learning and assessment. SCALE enables learners to (i) work on individual and collaborative activities proposed by the environment with respect to learners' knowledge level, (ii)…

How Leaders Learn to Be Successful during Large-Scale Organizational Change

ERIC Educational Resources Information Center

Rey, Donna S.

2009-01-01

The purpose of this study was to understand the strategies leaders used to learn new roles during large-scale organizational change and to understand what organizations can do to support the learning process. This was accomplished by exploring the experience of 15 school principals who learned to lead in the midst of two complex organizational…

Understanding Participation in E-Learning in Organizations: A Large-Scale Empirical Study of Employees

ERIC Educational Resources Information Center

Garavan, Thomas N.; Carbery, Ronan; O'Malley, Grace; O'Donnell, David

2010-01-01

Much remains unknown in the increasingly important field of e-learning in organizations. Drawing on a large-scale survey of employees (N = 557) who had opportunities to participate in voluntary e-learning activities, the factors influencing participation in e-learning are explored in this empirical paper. It is hypothesized that key variables…

Attitudes toward and approaches to learning first-year university mathematics.

PubMed

Alkhateeb, Haitham M; Hammoudi, Lakhdar

2006-08-01

This study examined the relationship for 180 undergraduate students enrolled in a first-year university calculus course between attitudes toward mathematics and approaches to learning mathematics using the Mathematics Attitude Scale and the Approaches to Learning Mathematics Questionnaire, respectively. Regression analyses indicated that scores for the Mathematics Attitude Scale were negatively related to scores for the Surface Approach and accounted for 10.4% of the variance and scores for the Mathematics Attitude Scale were positively related to scores for the Deep Approach to learning mathematics and accounted for 31.7% of the variance.

Multi-scale learning based segmentation of glands in digital colonrectal pathology images.

PubMed

Gao, Yi; Liu, William; Arjun, Shipra; Zhu, Liangjia; Ratner, Vadim; Kurc, Tahsin; Saltz, Joel; Tannenbaum, Allen

2016-02-01

Digital histopathological images provide detailed spatial information of the tissue at micrometer resolution. Among the available contents in the pathology images, meso-scale information, such as the gland morphology, texture, and distribution, are useful diagnostic features. In this work, focusing on the colon-rectal cancer tissue samples, we propose a multi-scale learning based segmentation scheme for the glands in the colon-rectal digital pathology slides. The algorithm learns the gland and non-gland textures from a set of training images in various scales through a sparse dictionary representation. After the learning step, the dictionaries are used collectively to perform the classification and segmentation for the new image.

Multi-scale learning based segmentation of glands in digital colonrectal pathology images

NASA Astrophysics Data System (ADS)

Gao, Yi; Liu, William; Arjun, Shipra; Zhu, Liangjia; Ratner, Vadim; Kurc, Tahsin; Saltz, Joel; Tannenbaum, Allen

2016-03-01

Digital histopathological images provide detailed spatial information of the tissue at micrometer resolution. Among the available contents in the pathology images, meso-scale information, such as the gland morphology, texture, and distribution, are useful diagnostic features. In this work, focusing on the colon-rectal cancer tissue samples, we propose a multi-scale learning based segmentation scheme for the glands in the colon-rectal digital pathology slides. The algorithm learns the gland and non-gland textures from a set of training images in various scales through a sparse dictionary representation. After the learning step, the dictionaries are used collectively to perform the classification and segmentation for the new image.

Relationships between the quality of blended learning experience, self-regulated learning, and academic achievement of medical students: a path analysis.

PubMed

Kassab, Salah Eldin; Al-Shafei, Ahmad I; Salem, Abdel Halim; Otoom, Sameer

2015-01-01

This study examined the relationships between the different aspects of students' course experience, self-regulated learning, and academic achievement of medical students in a blended learning curriculum. Perceptions of medical students (n=171) from the Royal College of Surgeons in Ireland, Medical University of Bahrain (RCSI Bahrain), on the blended learning experience were measured using the Student Course Experience Questionnaire (SCEQ), with an added e-Learning scale. In addition, self-regulated learning was measured using the Motivated Strategies for Learning Questionnaire (MSLQ). Academic achievement was measured by the scores of the students at the end of the course. A path analysis was created to test the relationships between the different study variables. Path analysis indicated that the perceived quality of the face-to-face component of the blended experience directly affected the motivation of students. The SCEQ scale "quality of teaching" directly affected two aspects of motivation: control of learning and intrinsic goal orientation. Furthermore, appropriate course workload directly affected the self-efficacy of students. Moreover, the e-Learning scale directly affected students' peer learning and critical thinking but indirectly affected metacognitive regulation. The resource management regulation strategies, time and study environment, and effort regulation directly affected students' examination scores (17% of the variance explained). However, there were no significant direct relationships between the SCEQ scales and cognitive learning strategies or examination scores. The results of this study will have important implications for designing blended learning courses in medical schools.

Machine Learning, deep learning and optimization in computer vision

NASA Astrophysics Data System (ADS)

Canu, Stéphane

2017-03-01

As quoted in the Large Scale Computer Vision Systems NIPS workshop, computer vision is a mature field with a long tradition of research, but recent advances in machine learning, deep learning, representation learning and optimization have provided models with new capabilities to better understand visual content. The presentation will go through these new developments in machine learning covering basic motivations, ideas, models and optimization in deep learning for computer vision, identifying challenges and opportunities. It will focus on issues related with large scale learning that is: high dimensional features, large variety of visual classes, and large number of examples.

Developing a Sense of Scale: Looking Backward

ERIC Educational Resources Information Center

Jones, M. Gail; Taylor, Amy R.

2009-01-01

Although scale has been identified as one of four major interdisciplinary themes that cut across the science domains by the American Association for the Advancement of Science (1989), we are only beginning to understand how students learn and apply scale concepts. Early research on learning scale tended to focus on perceptions of linear distances,…

Movement Issues Identified in Movement ABC2 Checklist Parent Ratings for Students with Persisting Dysgraphia, Dyslexia, and OWL LD and Typical Literacy Learners.

PubMed

Nielsen, Kathleen; Henderson, Sheila; Barnett, Anna L; Abbott, Robert D; Berninger, Virginia

2018-01-01

Movement, which draws on motor skills and executive functions for managing them, plays an important role in literacy learning (e.g., movement of mouth during oral reading and movement of hand and fingers during writing); but relatively little research has focused on movement skills in students with specific learning disabilities as the current study did. Parents completed normed Movement Assessment Battery for Children Checklist, 2nd edition (ABC-2), ratings and their children in grades 4 to 9 ( M = 11 years, 11 months; 94 boys, 61 girls) completed diagnostic assessment used to assign them to diagnostic groups: control typical language learning ( N = 42), dysgraphia (impaired handwriting) ( N = 29), dyslexia (impaired word decoding/reading and spelling) ( N = 65), or oral and written language learning disability (OWL LD) (impaired syntax in oral and written language) ( N = 19). The research aims were to (a) correlate the Movement ABC-2 parent ratings for Scale A Static/Predictable Environment (15 items) and Scale B Dynamic/Unpredictable Environment (15 items) with reading and writing achievement in total sample varying within and across different skills; and (b) compare each specific learning disability group with the control group on Movement ABC-2 parent ratings for Scale A, Scale B, and Scale C Movement-Related (Non-Motor Executive Functions, or Self-Efficacy, or Affect) (13 items). At least one Movement ABC-2 parent rating was correlated with each assessed literacy achievement skill. Each of three specific learning disability groups differed from the control group on two Scale A (static/predictable environment) items (fastens buttons and forms letters with pencil or pen) and on three Scale C items (distractibility, overactive, and underestimates own ability); but only OWL LD differed from control on Scale B (dynamic/unpredictable environment) items. Applications of findings to assessment and instruction for students ascertained for and diagnosed with persisting specific learning disabilities in literacy learning, and future research directions are discussed.

Undirected learning styles and academic risk: Analysis of the impact of stress, strain and coping.

PubMed

Kimatian, Stephen; Lloyd, Sara; Berger, Jeffrey; Steiner, Lorraine; McKay, Robert; Schwengal, Deborah

2017-01-01

Learning style inventories used in conjunction with a measure of academic achievement consistently show an association of meaning directed learning patterns with academic success, but have failed to show a clear association of undirected learning styles with academic failure. Using survey methods with anesthesia residents, this study questioned whether additional assessment of factors related to stress, strain, and coping help to better define the association between undirected learning styles and academic risk. Pearson chi squared tests. 296 subjects were enrolled from eight institutions with 142 (48%) completing the study. American Board of Anesthesiologists In Training Examinations (ITE) percentiles (ITE%) were used as a measure of academic achievement. The Vermunt Inventory of Learning Styles (ILS) was used to identify four learning patterns and 20 strategies, and the Osipow Stress Inventory-Revised (OSI-R) was used as a measure of six scales of occupational stress, four of personal strain, and four coping resources. Two learning patterns had significant relationship with ITE scores. As seen in previous studies, Meaning Directed Learning was beneficial for academic achievement while Undirected Learning was the least beneficial. Higher scores on Meaning Directed Learning correlated positively with higher ITE scores while higher Undirected and lower Meaning Directed patterns related negatively to ITE%. OSI-R measures of stress, strain and coping indicated that residents with Undirected learning patterns had higher scores on three scales related to stress, and 4 related to strain, while displaying lower scores on two scales related to coping. Residents with higher Meaning Directed patterns scored lower on two scales of stress and two scales of strain, with higher scores on two scales for coping resources. Low Meaning Directed and high Undirected learning patterns correlated with lower ITE percentiles, higher scores for stress and strain, and lower coping resources. This association suggests that successful remediation of at-risk residents must address stress, strain and coping if long term academic improvement is expected. Further research to identify the value of stress, strain, and coping screening and education is warranted.

Using Generalizability Theory to Examine the Dependability of Scores from the Learning Target Rating Scale

ERIC Educational Resources Information Center

McLaughlin, Tara W.; Snyder, Patricia A.; Algina, James

2017-01-01

The Learning Target Rating Scale (LTRS) is a measure designed to evaluate the quality of teacher-developed learning targets for embedded instruction for early learning. In the present study, we examined the measurement dependability of LTRS scores by conducting a generalizability study (G-study). We used a partially nested, three-facet model to…

A De Novo Tool to Measure the Preclinical Learning Climate of Medical Faculties in Turkey

ERIC Educational Resources Information Center

Yilmaz, Nilufer Demiral; Velipasaoglu, Serpil; Sahin, Hatice; Basusta, Bilge Uzun; Midik, Ozlem; Coskun, Ozlem; Budakoglu, Isil Irem; Mamakli, Sumer; Tengiz, Funda Ifakat; Durak, Halil Ibrahim; Ozan, Sema

2015-01-01

Although several scales are used to measure general and clinical learning climates, there are no scales that assess the preclinical learning climate. Therefore, the purpose of this study was to develop an effective measurement tool in order to assess the preclinical learning climate. In this cross-sectional study, data were collected from 3,540…

EGameFlow: A Scale to Measure Learners' Enjoyment of E-Learning Games

ERIC Educational Resources Information Center

Fu, Fong-Ling; Su, Rong-Chang; Yu, Sheng-Chin

2009-01-01

In an effective e-learning game, the learner's enjoyment acts as a catalyst to encourage his/her learning initiative. Therefore, the availability of a scale that effectively measures the enjoyment offered by e-learning games assist the game designer to understanding the strength and flaw of the game efficiently from the learner's points of view.…

Development of the Human Interaction Dimension of the Self-Regulated Learning Questionnaire in Asynchronous Online Learning Environments

ERIC Educational Resources Information Center

Cho, Moon-Heum; Jonassen, David

2009-01-01

Two studies focusing on the development and validation of the Online Self-Regulated Learning Inventory (OSRLI) were conducted. The OSRLI is a self-report instrument assessing the human interaction dimension of online self-regulated learning. It consists of an affect/motivation scale and an interaction strategies scale. In Study 1, exploratory…

Personality, Organizational Orientations and Self-Reported Learning Outcomes

ERIC Educational Resources Information Center

Bamber, David; Castka, Pavel

2006-01-01

Purpose: To identify competencies connecting personality, organizational orientations and self-reported learning outcomes (as measured by concise Likert-type scales), for individuals who are learning for their organizations. Design/methodology/approach: Five concise factor scales were constructed to represent aspects of personality. Three further…

The human figure drawing as related to attention-deficit hyperactivity disorder (ADHD).

PubMed

Perets-Dubrovsky, Sharon; Kaveh, Michelle; Deutsh-Castel, Tsofia; Cohen, Ayala; Tirosh, Emanuel

2010-06-01

To assess the reliability and validity of the human figure drawing test among children with attention-deficit hyperactivity disorder (ADHD) and/or learning disability, boys (n = 136) between the ages of 8 and 10 years, with either or both ADHD and learning disability, were included. Two drawings were used: person and house, tree and person. The drawings were analyzed using the Koppitz emotional and developmental scales. Conners teacher and parent rating scales and the Matching Familiar Figure Test were administered. High intertest reliability for the emotional scale and a significant negative correlation between the 2 scales were found. The reported anxiety and learning were significantly correlated with the cognitive score. A combination of cognitive and emotional items resulted in 67% correct classification of ADHD and learning disability. This test can be used as part of the assessment of ADHD/learning disability.

Adaptation of the Patterns of Adaptive Learning Scales (PALS) to Turkish Students: Factorial Validity and Reliability

ERIC Educational Resources Information Center

Cikrikci-Demirtash, R. Nukhet

2005-01-01

The study presented in this article was conducted to determine psychometric features of scales for Turkish students by adapting the Patterns of Adaptive Learning Scales (PALS) developed by Midgley and others (2000) to the Turkish language in order to measure personal and classroom goal orientations. The scales were developed to test…

Developing a "Social Presence Scale" for E-Learning Environments

ERIC Educational Resources Information Center

Kilic Cakmak, Ebru; Cebi, Ayça; Kan, Adnan

2014-01-01

The purpose of the current study is to develop a "social presence scale" for e-learning environments. A systematic approach was followed for developing the scale. The scale was applied to 461 students registered in seven different programs at Gazi University. The sample was split into two subsamples on a random basis (n1 = 261; n2 =…

Geometry in flipbook multimedia, a role of technology to improve mathematics learning quality: the case in madiun, east java

NASA Astrophysics Data System (ADS)

Andini, S.; Fitriana, L.; Budiyono

2018-04-01

This research is aimed to describe the process and to get product development of learning material using flipbook. The learning material is developed in geometry, especially quadrilateral. This research belongs to Research and Development (R&D). The procedure includes the steps of Budiyono Model such as conducting preliminary research, planning and developing a theoretical and prototype product, and determining product quality (validity, practicality, and effectiveness). The average assessment result of the theoretical product by the experts gets 4,54, while validity result of prototype product by the experts is 4,62. Practicability is obtained by the implementation of flipbook prototype in each meeting of limited-scale try out based on learning observation, with the average score of 4,10 and increasing of 4,50 in wide-scale try out. The effectiveness of the prototype product is obtained by the result from pretest and posttest on a limited-scale and a wide-scale try out. The limited-scale pre-test result showed a significant increase in average score of wide-scale pre-test of 25,2, and there is an increase in the average score of posttest on limited-scale try out and wide-scale try out is 8,16. The result of product quality can be concluded that flipbook media can be used in the geometry learning in elementary school which implemented curriculum 2013.

Relationships between the quality of blended learning experience, self-regulated learning, and academic achievement of medical students: a path analysis

PubMed Central

Kassab, Salah Eldin; Al-Shafei, Ahmad I; Salem, Abdel Halim; Otoom, Sameer

2015-01-01

Purpose This study examined the relationships between the different aspects of students’ course experience, self-regulated learning, and academic achievement of medical students in a blended learning curriculum. Methods Perceptions of medical students (n=171) from the Royal College of Surgeons in Ireland, Medical University of Bahrain (RCSI Bahrain), on the blended learning experience were measured using the Student Course Experience Questionnaire (SCEQ), with an added e-Learning scale. In addition, self-regulated learning was measured using the Motivated Strategies for Learning Questionnaire (MSLQ). Academic achievement was measured by the scores of the students at the end of the course. A path analysis was created to test the relationships between the different study variables. Results Path analysis indicated that the perceived quality of the face-to-face component of the blended experience directly affected the motivation of students. The SCEQ scale “quality of teaching” directly affected two aspects of motivation: control of learning and intrinsic goal orientation. Furthermore, appropriate course workload directly affected the self-efficacy of students. Moreover, the e-Learning scale directly affected students’ peer learning and critical thinking but indirectly affected metacognitive regulation. The resource management regulation strategies, time and study environment, and effort regulation directly affected students’ examination scores (17% of the variance explained). However, there were no significant direct relationships between the SCEQ scales and cognitive learning strategies or examination scores. Conclusion The results of this study will have important implications for designing blended learning courses in medical schools. PMID:25610011

Relationship between Lifelong Learning Levels and Information Literacy Skills in Teacher Candidates

ERIC Educational Resources Information Center

Solmaz, Dilek Yaliz

2017-01-01

This study aims to examine the relationship between lifelong learning levels and information literacy skills in teacher candidates. The research group consists of 127 physical education and sports teacher candidates. Data were collected by means of "Lifelong Learning Scale (LLL)" and "Information Literacy Scale". In the data…

Taking Stock: Existing Resources for Assessing a New Vision of Science Learning

ERIC Educational Resources Information Center

Alonzo, Alicia C.; Ke, Li

2016-01-01

A new vision of science learning described in the "Next Generation Science Standards"--particularly the science and engineering practices and their integration with content--pose significant challenges for large-scale assessment. This article explores what might be learned from advances in large-scale science assessment and…

A SCALE-UP Mock-Up: Comparison of Student Learning Gains in High- and Low-Tech Active-Learning Environments.

PubMed

Soneral, Paula A G; Wyse, Sara A

2017-01-01

Student-centered learning environments with upside-down pedagogies (SCALE-UP) are widely implemented at institutions across the country, and learning gains from these classrooms have been well documented. This study investigates the specific design feature(s) of the SCALE-UP classroom most conducive to teaching and learning. Using pilot survey data from instructors and students to prioritize the most salient SCALE-UP classroom features, we created a low-tech "Mock-up" version of this classroom and tested the impact of these features on student learning, attitudes, and satisfaction using a quasi--experimental setup. The same instructor taught two sections of an introductory biology course in the SCALE-UP and Mock-up rooms. Although students in both sections were equivalent in terms of gender, grade point average, incoming ACT, and drop/fail/withdraw rate, the Mock-up classroom enrolled significantly more freshmen. Controlling for class standing, multiple regression modeling revealed no significant differences in exam, in-class, preclass, and Introduction to Molecular and Cellular Biology Concept Inventory scores between the SCALE-UP and Mock-up classrooms. Thematic analysis of student comments highlighted that collaboration and whiteboards enhanced the learning experience, but technology was not important. Student satisfaction and attitudes were comparable. These results suggest that the benefits of a SCALE-UP experience can be achieved at lower cost without technology features. © 2017 P. A. G. Soneral and S. A. Wyse. CBE—Life Sciences Education © 2017 The American Society for Cell Biology. This article is distributed by The American Society for Cell Biology under license from the author(s). It is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0).

Measuring the learning capacity of organisations: development and factor analysis of the Questionnaire for Learning Organizations.

PubMed

Oudejans, S C C; Schippers, G M; Schramade, M H; Koeter, M W J; van den Brink, W

2011-04-01

To investigate internal consistency and factor structure of a questionnaire measuring learning capacity based on Senge's theory of the five disciplines of a learning organisation: Personal Mastery, Mental Models, Shared Vision, Team Learning, and Systems Thinking. Cross-sectional study. Substance-abuse treatment centres (SATCs) in The Netherlands. A total of 293 SATC employees from outpatient and inpatient treatment departments, financial and human resources departments. Psychometric properties of the Questionnaire for Learning Organizations (QLO), including factor structure, internal consistency, and interscale correlations. A five-factor model representing the five disciplines of Senge showed good fit. The scales for Personal Mastery, Shared Vision and Team Learning had good internal consistency, but the scales for Systems Thinking and Mental Models had low internal consistency. The proposed five-factor structure was confirmed in the QLO, which makes it a promising instrument to assess learning capacity in teams. The Systems Thinking and the Mental Models scales have to be revised. Future research should be aimed at testing criterion and discriminatory validity.

The reliability and validity of three questionnaires: The Student Satisfaction and Self-Confidence in Learning Scale, Simulation Design Scale, and Educational Practices Questionnaire.

PubMed

Unver, Vesile; Basak, Tulay; Watts, Penni; Gaioso, Vanessa; Moss, Jacqueline; Tastan, Sevinc; Iyigun, Emine; Tosun, Nuran

2017-02-01

The purpose of this study was to adapt the "Student Satisfaction and Self-Confidence in Learning Scale" (SCLS), "Simulation Design Scale" (SDS), and "Educational Practices Questionnaire" (EPQ) developed by Jeffries and Rizzolo into Turkish and establish the reliability and the validity of these translated scales. A sample of 87 nursing students participated in this study. These scales were cross-culturally adapted through a process including translation, comparison with original version, back translation, and pretesting. Construct validity was evaluated by factor analysis, and criterion validity was evaluated using the Perceived Learning Scale, Patient Intervention Self-confidence/Competency Scale, and Educational Belief Scale. Cronbach's alpha values were found as 0.77-0.85 for SCLS, 0.73-0.86 for SDS, and 0.61-0.86 for EPQ. The results of this study show that the Turkish versions of all scales are validated and reliable measurement tools.

Lifelong Learning Competence Scale (LLLCS): The Study of Validity and Reliability

ERIC Educational Resources Information Center

Uzunboylu, Huseyin; Hursen, Cigdem

2011-01-01

In this research our aim is to develop a scale for lifelong learning competences and investigate the validity and the reliability of the structure of the scale. The participants of this research are 300 secondary school teachers who are randomly selected. The findings on the scale's validity of the structure are computed by the method of factor…

Assessing orientations to learning to teach.

PubMed

Oosterheert, Ida E; Vermunt, Jan D; Denessen, E

2002-03-01

An important purpose of teacher education is that student teachers develop and change their existing knowledge on learning and teaching. Research on how student teachers variously engage in this process is scarce. In a previous study of 30 student teachers, we identified five different orientations to learning to teach. Our aim was to extend the results of the previous study by developing an instrument to assess orientations to learning to teach at a larger scale. The development and psychometric properties of the instrument are discussed. The results with respect to how student teachers learn are compared to the results of the qualitative study. Participants in this study were 169 secondary student teachers from three institutes which had all adopted an initial in-service model of learning to teach. On the basis of extensive qualitative study, a questionnaire was developed to assess individual differences in learning to teach. Factor-, reliability-, and nonparametric scalability analyses were performed to identify reliable scales. Cluster analysis was used to identify groups of students with similar orientations to learning to teach. Eight scales covering cognitive, regulative and affective aspects of student teachers' learning were identified. Cluster analysis indicates that the instrument discriminates well between student teachers. Four of the five previously found patterns were found again. The four orientations found in relatively uniform learning environments indicate that student teachers need differential support in their learning. Although the instrument measures individual differences in a reliable way, it is somewhat one-sided in the sense that items representing constructive ways of learning dominate. New items forming a broader range of scales should be created.

A study of grouphate in a course on small group communication.

PubMed

Myers, Scott A; Goodboy, Alan K

2005-10-01

This study explored the relationship between grouphate and cohesion, consensus, relational satisfaction, affective learning, and cognitive learning. Participants were 83 undergraduate students enrolled in an introductory course on small group communication. Participants completed the Grouphate scale, the Classroom Cohesion scale, the Consensus scale, the Relational Satisfaction scale, three subscales of the Instructional Affect Assessment Instrument, and the Cognitive Learning Loss measure. Mean grouphate significantly increased during the semester, and negative correlations were found between scores for grouphate and cohesion (-.50), consensus (-.45), relational satisfaction (-.58), attitude toward the behaviors recommended in the course (-.23), the likelihood of developing an appreciation for the course content (-.33), and cognitive learning (-.32). Results may imply that students' grouphate is not associated with prosocial outcomes of the group work in this course.

A Call to Action for Research in Digital Learning: Learning without Limits of Time, Place, Path, Pace…or Evidence

ERIC Educational Resources Information Center

Cavanaugh, Cathy; Sessums, Christopher; Drexler, Wendy

2015-01-01

This essay is a call for rethinking our approach to research in digital learning. It plots a path founded in social trends and advances in education. A brief review of these trends and advances is followed by discussion of what flattened research might look like at scale. Scaling research in digital learning is crucial to advancing understanding…

The Adaptation Study of the Questionnaires of the Attitude towards CALL (A-CALL), the Attitude towards CAL (A-CAL), the Attitude towards Foreign Language Learning (A-FLL) to Turkish Language

ERIC Educational Resources Information Center

Erdem, Cahit; Saykili, Abdullah; Kocyigit, Mehmet

2018-01-01

This study primarily aims to adapt the Foreign Language Learning (FLL), Computer assisted Learning (CAL) and Computer assisted Language Learning (CALL) scales developed by Vandewaetere and Desmet into Turkish context. The instrument consists of three scales which are "the attitude towards CALL questionnaire" ("A-CALL")…

A Matter of Time: Faster Percolator Analysis via Efficient SVM Learning for Large-Scale Proteomics.

PubMed

Halloran, John T; Rocke, David M

2018-05-04

Percolator is an important tool for greatly improving the results of a database search and subsequent downstream analysis. Using support vector machines (SVMs), Percolator recalibrates peptide-spectrum matches based on the learned decision boundary between targets and decoys. To improve analysis time for large-scale data sets, we update Percolator's SVM learning engine through software and algorithmic optimizations rather than heuristic approaches that necessitate the careful study of their impact on learned parameters across different search settings and data sets. We show that by optimizing Percolator's original learning algorithm, l 2 -SVM-MFN, large-scale SVM learning requires nearly only a third of the original runtime. Furthermore, we show that by employing the widely used Trust Region Newton (TRON) algorithm instead of l 2 -SVM-MFN, large-scale Percolator SVM learning is reduced to nearly only a fifth of the original runtime. Importantly, these speedups only affect the speed at which Percolator converges to a global solution and do not alter recalibration performance. The upgraded versions of both l 2 -SVM-MFN and TRON are optimized within the Percolator codebase for multithreaded and single-thread use and are available under Apache license at bitbucket.org/jthalloran/percolator_upgrade .

Characteristics of Third-Grade Learning Disabled Children.

ERIC Educational Resources Information Center

Cullen, Joy L.; And Others

1981-01-01

The Developmental Test of Visual-Motor Integration, the Wide Range Achievement Test, and the Student's Perception of Ability Scale were administreed to 70 learning disabled and 73 normally achieving third-grade children who had been stratified on full scale Wechsler Intelligence Scale for Children-Revised (WISC-R) IQ scores. (Author)

The Unknown Variable: Identifying Learning Disabilities with Pupil Behavior Rating Scales.

ERIC Educational Resources Information Center

Winzer, Margret; Malarczyk, Barbara

Difficulties in identifying learning disabilities (LD) are examined, and special problems presented by hearing impaired children with LD are considered. The value of rating scales as a quick instrument for obtaining, measuring, recording and communicating information is emphasized. Adaptations of the Pupil Rating Scale for hearing impaired…

Intelligent Fault Diagnosis of Rotary Machinery Based on Unsupervised Multiscale Representation Learning

NASA Astrophysics Data System (ADS)

Jiang, Guo-Qian; Xie, Ping; Wang, Xiao; Chen, Meng; He, Qun

2017-11-01

The performance of traditional vibration based fault diagnosis methods greatly depends on those handcrafted features extracted using signal processing algorithms, which require significant amounts of domain knowledge and human labor, and do not generalize well to new diagnosis domains. Recently, unsupervised representation learning provides an alternative promising solution to feature extraction in traditional fault diagnosis due to its superior learning ability from unlabeled data. Given that vibration signals usually contain multiple temporal structures, this paper proposes a multiscale representation learning (MSRL) framework to learn useful features directly from raw vibration signals, with the aim to capture rich and complementary fault pattern information at different scales. In our proposed approach, a coarse-grained procedure is first employed to obtain multiple scale signals from an original vibration signal. Then, sparse filtering, a newly developed unsupervised learning algorithm, is applied to automatically learn useful features from each scale signal, respectively, and then the learned features at each scale to be concatenated one by one to obtain multiscale representations. Finally, the multiscale representations are fed into a supervised classifier to achieve diagnosis results. Our proposed approach is evaluated using two different case studies: motor bearing and wind turbine gearbox fault diagnosis. Experimental results show that the proposed MSRL approach can take full advantages of the availability of unlabeled data to learn discriminative features and achieved better performance with higher accuracy and stability compared to the traditional approaches.

Perceived Usability Evaluation of Learning Management Systems: Empirical Evaluation of the System Usability Scale

ERIC Educational Resources Information Center

Orfanou, Konstantina; Tselios, Nikolaos; Katsanos, Christos

2015-01-01

Perceived usability affects greatly student's learning effectiveness and overall learning experience, and thus is an important requirement of educational software. The System Usability Scale (SUS) is a well-researched and widely used questionnaire for perceived usability evaluation. However, surprisingly few studies have used SUS to evaluate the…

Predicting the Motivation in College-Aged Learning Disabled Students Based on the Academic Motivation Scale

ERIC Educational Resources Information Center

Luna, Alberto D.

2013-01-01

Given the paucity of research on factors associated with motivation in learning disabled college students, the present study investigated the motivation levels in college students with learning disabilities. The Academic Motivation Scale (AMS) has been validated cross-nationally and across all educational age groups of students having various…

Classroom Community Scale in the Blended Learning Environment: A Psychometric Review

ERIC Educational Resources Information Center

Barnard-Brak, Lucy; Shiu, William

2010-01-01

The Classroom Community Scale (CCS) has been utilized in previous research to measure sense of community of learners including those learners in blended learning environments. In the current study, the CCS was examined with respect to its psychometric properties in the blended learning environment. Reliability analyses indicate an acceptable level…

Large-Scale Machine Learning for Classification and Search

ERIC Educational Resources Information Center

Liu, Wei

2012-01-01

With the rapid development of the Internet, nowadays tremendous amounts of data including images and videos, up to millions or billions, can be collected for training machine learning models. Inspired by this trend, this thesis is dedicated to developing large-scale machine learning techniques for the purpose of making classification and nearest…

The Preschool Learning Behaviors Scale: Dimensionality and External Validity in Head Start

ERIC Educational Resources Information Center

McDermott, Paul A.; Rikoon, Samuel H.; Waterman, Clare; Fantuzzo, John W.

2012-01-01

Given the importance of accurately gauging early childhood approaches to learning, this study reports evidence for the dimensionality and utility of the Preschool Learning Behaviors Scale for use with disadvantaged preschool children. Data from a large (N = 1,666) sample representative of urban Head Start classrooms revealed three reliable…

Learning Progressions, Vertical Scales, and Testable Hypotheses: Promising Intuitions and Points for Clarification

ERIC Educational Resources Information Center

Maul, Andrew

2015-01-01

Briggs and Peck [in "Using Learning Progressions to Design Vertical Scales That Support Coherent Inferences about Student Growth"] call for greater care in the conceptualization of the target attributes of students, or "what it is that is growing from grade to grade." In particular, they argue that learning progressions can…

Newton Methods for Large Scale Problems in Machine Learning

ERIC Educational Resources Information Center

Hansen, Samantha Leigh

2014-01-01

The focus of this thesis is on practical ways of designing optimization algorithms for minimizing large-scale nonlinear functions with applications in machine learning. Chapter 1 introduces the overarching ideas in the thesis. Chapters 2 and 3 are geared towards supervised machine learning applications that involve minimizing a sum of loss…

The Factor Structure of the Self-Directed Learning Readiness Scale (SDLRS).

ERIC Educational Resources Information Center

Wang, Xiaoping; And Others

A study involving teachers and administrators from 16 elementary, middle, and high schools in Tennessee investigated the factorial structure of the Self-Directed Learning Readiness Scale (SDLRS). The SDLRS includes 58 Likert-like items designed to measure the readiness of adult learners to assume self-direction in the learning process. Study…

Promoting Female Students' Learning Motivation towards Science by Exercising Hands-On Activities

ERIC Educational Resources Information Center

Wen-jin, Kuo; Chia-ju, Liu; Shi-an, Leou

2012-01-01

The purpose of this study is to design different hands-on science activities and investigate which activities could better promote female students' learning motivation towards science. This study conducted three types of science activities which contains nine hands-on activities, an experience scale and a learning motivation scale for data…

The Relationship between Learning Style, Test Anxiety and Academic Achievement

ERIC Educational Resources Information Center

Yazici, Kubilay

2017-01-01

This study aimed to investigate the relationship between social studies pre-service teachers' (SSPTs) learning style, test anxiety and academic achievement. A total of 315 SSPTs participated in the study. Data were collected using Turkish versions of Grasha-Reichmann learning style scale (GRLSS) and test anxiety scale (TAS) by Spielberger.…

Development of the Self-Directed Learning Skills Scale

ERIC Educational Resources Information Center

Ayyildiz, Yildizay; Tarhan, Leman

2015-01-01

The purpose of this study was to develop a valid and reliable scale for assessing high school students' self-directed learning skills. Based on a literature review and data obtained from similar instruments, all skills related to self-directed learning were identified. Next, an item pool was prepared and administered to 255 students from various…

A Scale Development Study for the Teachers on Out of School Learning Environments

ERIC Educational Resources Information Center

Balkan-Kiyici, Fatime; Yavuz Topaloglu, Melike

2016-01-01

When teachers organize planned and systematical out-of-school learning activities, students can understand the abstract and complex terms and topics better and therefore meaningful and deeper learning can occur. Within this context this study aims to develop a valid and reliable scale to determine the attitudes, behaviors, efficiency and…

Developing a Scale for Quality of Using Learning Strategies

ERIC Educational Resources Information Center

Tasci, Guntay; Yurdugul, Halil

2016-01-01

This study aims to develop a measurement tool to measure the quality of using learning strategies. First, the quality of using learning strategies was described based on the literature. The 32 items in the 5-point Likert scale were then administered to 320 prospective teachers, and they were analysed with exploratory factor analysis using…

Large-scale weakly supervised object localization via latent category learning.

PubMed

Chong Wang; Kaiqi Huang; Weiqiang Ren; Junge Zhang; Maybank, Steve

2015-04-01

Localizing objects in cluttered backgrounds is challenging under large-scale weakly supervised conditions. Due to the cluttered image condition, objects usually have large ambiguity with backgrounds. Besides, there is also a lack of effective algorithm for large-scale weakly supervised localization in cluttered backgrounds. However, backgrounds contain useful latent information, e.g., the sky in the aeroplane class. If this latent information can be learned, object-background ambiguity can be largely reduced and background can be suppressed effectively. In this paper, we propose the latent category learning (LCL) in large-scale cluttered conditions. LCL is an unsupervised learning method which requires only image-level class labels. First, we use the latent semantic analysis with semantic object representation to learn the latent categories, which represent objects, object parts or backgrounds. Second, to determine which category contains the target object, we propose a category selection strategy by evaluating each category's discrimination. Finally, we propose the online LCL for use in large-scale conditions. Evaluation on the challenging PASCAL Visual Object Class (VOC) 2007 and the large-scale imagenet large-scale visual recognition challenge 2013 detection data sets shows that the method can improve the annotation precision by 10% over previous methods. More importantly, we achieve the detection precision which outperforms previous results by a large margin and can be competitive to the supervised deformable part model 5.0 baseline on both data sets.

Convergent Validity of the Mullen Scales of Early Learning and the Differential Ability Scales in Children with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Bishop, Somer L.; Guthrie, Whitney; Coffing, Mia; Lord, Catherine

2011-01-01

Despite widespread use of the Mullen Scales of Early Learning (MSEL; E. M. Mullen, 1995) as a cognitive test for children with autism spectrum disorders and other developmental disabilities, the instrument has not been independently validated for use in these populations. Convergent validity of the MSEL and the Differential Ability Scales (DAS; C.…

Approximate kernel competitive learning.

PubMed

Wu, Jian-Sheng; Zheng, Wei-Shi; Lai, Jian-Huang

2015-03-01

Kernel competitive learning has been successfully used to achieve robust clustering. However, kernel competitive learning (KCL) is not scalable for large scale data processing, because (1) it has to calculate and store the full kernel matrix that is too large to be calculated and kept in the memory and (2) it cannot be computed in parallel. In this paper we develop a framework of approximate kernel competitive learning for processing large scale dataset. The proposed framework consists of two parts. First, it derives an approximate kernel competitive learning (AKCL), which learns kernel competitive learning in a subspace via sampling. We provide solid theoretical analysis on why the proposed approximation modelling would work for kernel competitive learning, and furthermore, we show that the computational complexity of AKCL is largely reduced. Second, we propose a pseudo-parallelled approximate kernel competitive learning (PAKCL) based on a set-based kernel competitive learning strategy, which overcomes the obstacle of using parallel programming in kernel competitive learning and significantly accelerates the approximate kernel competitive learning for large scale clustering. The empirical evaluation on publicly available datasets shows that the proposed AKCL and PAKCL can perform comparably as KCL, with a large reduction on computational cost. Also, the proposed methods achieve more effective clustering performance in terms of clustering precision against related approximate clustering approaches. Copyright © 2014 Elsevier Ltd. All rights reserved.

Development and Validation of the Elder Learning Barriers Scale Among Older Chinese Adults.

PubMed

Wang, Renfeng; De Donder, Liesbeth; De Backer, Free; He, Tao; Van Regenmortel, Sofie; Li, Shihua; Lombaerts, Koen

2017-12-01

This study describes the development and validation of the Elder Learning Barriers (ELB) scale, which seeks to identify the obstacles that affect the level of educational participation of older adults. The process of item pool design and scale development is presented, as well as the testing and scale refinement procedure. The data were collected from a sample of 579 older Chinese adults (aged over 55) in the Xi'an region of China. After randomly splitting the sample for cross-validation purposes, the construct validity of the ELB scale was confirmed containing five dimensions: dispositional, informational, physical, situational, and institutional barriers. Furthermore, developmental differences in factor structure have been examined among older age groups. The results indicated that the scale demonstrated good reliability and validity. We conclude in general that the ELB scale appears to be a valuable instrument for examining the learning barriers that older Chinese citizens experience for participating in organized educational activities.

Mindful learning can promote connectedness to nature: Implicit and explicit evidence.

PubMed

Wang, Xue; Geng, Liuna; Zhou, Kexin; Ye, Lijuan; Ma, Yinglin; Zhang, Shuhao

2016-08-01

Environmental problems have attracted increasing attention, yet individuals' connectedness to nature remains a significant concern for potential solutions to these problems. In this article, we propose a novel method to promote connectedness to nature: mindful learning. One hundred and thirty-four students participated in the experiment. First, baseline measurements using the Connectedness to Nature Scale were obtained. Participants were then assigned to either a mindful or mindless learning condition. Finally, as a posttest, participants completed the Implicit Association Test and the Inclusion of Nature in the Self Scale. The performance of the mindful-learning group was better for both measures. Participants in the mindful-learning condition performed better on the Implicit Association Test and scored higher on the Inclusion of Nature in the Self Scale. These results provide empirical evidence that mindful learning may promote connectedness to nature, both implicitly and explicitly. Copyright © 2016 Elsevier Inc. All rights reserved.

Profiling medical school learning environments in Malaysia: a validation study of the Johns Hopkins Learning Environment Scale.

PubMed

Tackett, Sean; Bakar, Hamidah Abu; Shilkofski, Nicole A; Coady, Niamh; Rampal, Krishna; Wright, Scott

2015-01-01

While a strong learning environment is critical to medical student education, the assessment of medical school learning environments has confounded researchers. Our goal was to assess the validity and utility of the Johns Hopkins Learning Environment Scale (JHLES) for preclinical students at three Malaysian medical schools with distinct educational and institutional models. Two schools were new international partnerships, and the third was school leaver program established without international partnership. First- and second-year students responded anonymously to surveys at the end of the academic year. The surveys included the JHLES, a 28-item survey using five-point Likert scale response options, the Dundee Ready Educational Environment Measure (DREEM), the most widely used method to assess learning environments internationally, a personal growth scale, and single-item global learning environment assessment variables. The overall response rate was 369/429 (86%). After adjusting for the medical school year, gender, and ethnicity of the respondents, the JHLES detected differences across institutions in four out of seven domains (57%), with each school having a unique domain profile. The DREEM detected differences in one out of five categories (20%). The JHLES was more strongly correlated than the DREEM to two thirds of the single-item variables and the personal growth scale. The JHLES showed high internal reliability for the total score (α=0.92) and the seven domains (α, 0.56-0.85). The JHLES detected variation between learning environment domains across three educational settings, thereby creating unique learning environment profiles. Interpretation of these profiles may allow schools to understand how they are currently supporting trainees and identify areas needing attention.

Profiling medical school learning environments in Malaysia: a validation study of the Johns Hopkins Learning Environment Scale

PubMed Central

Tackett, Sean; Bakar, Hamidah Abu; Shilkofski, Nicole A.; Coady, Niamh; Rampal, Krishna; Wright, Scott

2015-01-01

Purpose: While a strong learning environment is critical to medical student education, the assessment of medical school learning environments has confounded researchers. Our goal was to assess the validity and utility of the Johns Hopkins Learning Environment Scale (JHLES) for preclinical students at three Malaysian medical schools with distinct educational and institutional models. Two schools were new international partnerships, and the third was school leaver program established without international partnership. Methods: First- and second-year students responded anonymously to surveys at the end of the academic year. The surveys included the JHLES, a 28-item survey using five-point Likert scale response options, the Dundee Ready Educational Environment Measure (DREEM), the most widely used method to assess learning environments internationally, a personal growth scale, and single-item global learning environment assessment variables. Results: The overall response rate was 369/429 (86%). After adjusting for the medical school year, gender, and ethnicity of the respondents, the JHLES detected differences across institutions in four out of seven domains (57%), with each school having a unique domain profile. The DREEM detected differences in one out of five categories (20%). The JHLES was more strongly correlated than the DREEM to two thirds of the single-item variables and the personal growth scale. The JHLES showed high internal reliability for the total score (α=0.92) and the seven domains (α, 0.56-0.85). Conclusion: The JHLES detected variation between learning environment domains across three educational settings, thereby creating unique learning environment profiles. Interpretation of these profiles may allow schools to understand how they are currently supporting trainees and identify areas needing attention. PMID:26165949

Multi-level discriminative dictionary learning with application to large scale image classification.

PubMed

Shen, Li; Sun, Gang; Huang, Qingming; Wang, Shuhui; Lin, Zhouchen; Wu, Enhua

2015-10-01

The sparse coding technique has shown flexibility and capability in image representation and analysis. It is a powerful tool in many visual applications. Some recent work has shown that incorporating the properties of task (such as discrimination for classification task) into dictionary learning is effective for improving the accuracy. However, the traditional supervised dictionary learning methods suffer from high computation complexity when dealing with large number of categories, making them less satisfactory in large scale applications. In this paper, we propose a novel multi-level discriminative dictionary learning method and apply it to large scale image classification. Our method takes advantage of hierarchical category correlation to encode multi-level discriminative information. Each internal node of the category hierarchy is associated with a discriminative dictionary and a classification model. The dictionaries at different layers are learnt to capture the information of different scales. Moreover, each node at lower layers also inherits the dictionary of its parent, so that the categories at lower layers can be described with multi-scale information. The learning of dictionaries and associated classification models is jointly conducted by minimizing an overall tree loss. The experimental results on challenging data sets demonstrate that our approach achieves excellent accuracy and competitive computation cost compared with other sparse coding methods for large scale image classification.

Measuring students' attitudes toward college education's role in addressing social issues.

PubMed

Weber, James E; Weber, Paula S; Craven, Barney L

2008-06-01

As service-learning projects have spread throughout academia, efforts to assess the service-learning experience have assumed a greater importance. The BERSI scale (Business Education's Role in addressing Social Issues) was developed as a measure of business students' attitudes toward social issues being addressed as part of a business education. As such, it was intended to be useful in assessing attitudinal outcomes of service learning. In order for the BERSI to be useful for nonbusiness students, the scale would need to be reconceptualized and revalidated. This study modified the BERSI items with a focus on college students in general rather than business students, making the resulting scale, College Education's Role in addressing Social Issues (CERSI), potentially helpful to service-learning researchers in a broader setting. The CERSI scale was then validated using standard techniques and normative data were reported.

A Study on Teaching Gases to Prospective Primary Science Teachers Through Problem-Based Learning

NASA Astrophysics Data System (ADS)

Senocak, Erdal; Taskesenligil, Yavuz; Sozbilir, Mustafa

2007-07-01

The aim of this study was to compare the achievement of prospective primary science teachers in a problem-based curriculum with those in a conventional primary science teacher preparation program with regard to success in learning about gases and developing positive attitudes towards chemistry. The subjects of the study were 101 first year undergraduate students, who were in two different classes and who were taught by the same lecturer. One of the classes was randomly selected as the intervention group in which problem-based learning (PBL) was used, and the other as the control in which conventional teaching methods were used. The data were obtained through use of the gases diagnostic test (GDT), the chemistry attitude scale (CAS), and scales specific to students’ evaluation of PBL such as the peer evaluation scale (PES), self evaluation scale (SES), tutor’s performance evaluation scale (TPES) and students’ evaluation of PBL scale (SEPBLS). Data were analysed using SPSS 10.0 (Statistical Package for Social Sciences). In order to find out the effect of the intervention (PBL) on students’ learning of gases, independent sample t-tests and ANCOVA (analysis of co-variance) were used. The results obtained from the study showed that there was a statistically significant difference between the experimental and control groups in terms of students’ GDT total mean scores and, their attitude towards chemistry, as well as PBL has a significant effect on the development of students’ skills such as self-directed learning, cooperative learning and critical thinking.

A Lifelong Learning Scale for Research and Evaluation of Teaching and Curricular Effectiveness

ERIC Educational Resources Information Center

Wielkiewicz, Richard M.; Meuwissen, Alyssa S.

2014-01-01

A 16-item lifelong learning scale (LLS), appropriate for college students and others, was evaluated using a sample of 575 college students. The scale demonstrated excellent reliability and was correlated with college grade point average (GPA), agreeableness, conscientiousness, and intellect/imagination. Scores were higher for those who had studied…

Validating the Learning Disability Screening Questionnaire against the Weschler Adult Intelligence Scale, Fourth Edition

ERIC Educational Resources Information Center

McKenzie, Karen; Sharples, Phil; Murray, Aja L.

2015-01-01

The Learning Disability Screening Questionnaire (LDSQ), a brief screening tool for intellectual disability, was originally validated against the Weschler Adult Intelligence Scale, Third Edition (WAIS-III), which was superseded by the Weschler Adult Intelligence Scale, Fourth Edition (WAIS-IV) in the United Kingdom in 2010. This study examines the…

Guiding Learners into Reengagement through the SCALE Environment: An Empirical Study

ERIC Educational Resources Information Center

Verginis, Ilias; Gouli, Evangelia; Gogoulou, Agoritsa; Grigoriadou, Maria

2011-01-01

The paper presents the facilities offered by the open learner model maintained in the web-based, adaptive, activity-oriented learning environment SCALE (Supporting Collaboration and Adaptation in a Learning Environment), in order to guide online students who become disengaged and support their reengagement. The open learner model (OLM_SCALE)…

Sustaining Innovations through Lead Teacher Learning: A Learning Sciences Perspective on Supporting Professional Development

ERIC Educational Resources Information Center

Fogleman, Jay; Fishman, Barry; Krajcik, Joe

2006-01-01

There is a rich history of researchers developing curricular materials aimed at enhancing student learning in American classrooms. Though many of these innovations have been successful on a small scale, institutionalizing them so they become part of a district's instructional culture has been a challenge. As large districts try to scale up and…

The Emergence of a Learning Progression in Middle School Chemistry

ERIC Educational Resources Information Center

Johnson, Philip; Tymms, Peter

2011-01-01

Previously, a small scale, interview-based, 3-year longitudinal study (ages 11-14) in one school had suggested a learning progression related to the concept of a substance. This article presents the results of a large-scale, cross-sectional study which used Rasch modeling to test the hypothesis of the learning progression. Data were collected from…

The Factor Structure and Sources of Variation Underlying the Social Learning Environment Rating Scales: Monograph 1.

ERIC Educational Resources Information Center

Warshow, Joyce P.; Bepko, Raymond A.

Seventeen intermediate level classes for the educable mentally retarded were involved in an investigation of the factor structure of the Social Learning Environment Rating Scale (SLERS), an instrument designed to quantify teacher-student behavior based on the Social Learning Curriculum (SLC). The 17 classes were observed implementing six…

Measuring Social Relations in New Classroom Spaces: Development and Validation of the Social Context and Learning Environments (SCALE) Survey

ERIC Educational Resources Information Center

Walker, J. D.; Baepler, Paul

2017-01-01

This study addresses the need for reliable and valid information concerning how innovative classrooms on college and university campuses affect teaching and learning. The Social Context and Learning Environments (SCALE) survey was developed though a three-stage process involving approximately 1300 college students. Exploratory and confirmatory…

Regulatory Teaching and Self-Regulated Learning in College Students: Confirmatory Validation Study of the IATLP Scales

ERIC Educational Resources Information Center

de la Fuente, Jesus; Zapata, Lucia; Martinez-Vicente, J. M.; Cardelle-Elawar, Maria; Sander, Paul; Justicia, Fernando; Pichardo, M. C.; Garcia-Belen, A. B.

2012-01-01

Introduction: The purpose of this study was to empirically confirm two conceptual interactions proposed by the IATLP Scales: (1) the combination of the teacher's regulatory teaching and the student's self-regulated learning, in order to produce satisfaction with learning; (2) the relationship of this interaction with students' prior…

Advancing Accounting Research of Teaching Efficacy: Developing a Scale to Measure Student Attitudes toward Active Learning Experiences

ERIC Educational Resources Information Center

Burney, Laurie; Zascavage, Victoria; Matherly, Michele

2017-01-01

Literature consistently documents a positive, direct effect of students' attitudes on learning (Lizzio, Wilson, & Simons, 2002). Hence, accounting studies describing active learning activities often report student attitudes as evidence of efficacy (e.g., Matherly & Burney, 2013), but rely on single-item instead of multi-item scales. This…

Assessing the Quality of Problems in Problem-Based Learning

ERIC Educational Resources Information Center

Sockalingam, Nachamma; Rotgans, Jerome; Schmidt, Henk

2012-01-01

This study evaluated the construct validity and reliability of a newly devised 32-item problem quality rating scale intended to measure the quality of problems in problem-based learning. The rating scale measured the following five characteristics of problems: the extent to which the problem (1) leads to learning objectives, (2) is familiar, (3)…

A comparison of conventional lecture and team-based learning methods in terms of student learning and teaching satisfaction.

PubMed

Jafari, Zahra

2014-01-01

Team-based learning (TBL) is a structured type of cooperative learning that has growing application in medical education. This study compares levels of student learning and teaching satisfaction for a neurology course between conventional lecture and team-based learning. The study incorporated 70 students aged 19 to 22 years at the school of rehabilitation. One half of the 16 sessions of the neurology course was taught by lectures and the second half with team-based learning. Teaching satisfaction for the teaching methods was determined on a scale with 5 options in response to 20 questions. Significant difference was found between lecture-based and team-based learning in final scores (p<0.001). Content validity index of the scale of student satisfaction was 94%, and external and internal consistencies of the scale were 0.954 and 0.921 orderly (p<0.001). The degree of satisfaction from TBL compared to the lecture method was 81.3%. RESULTS revealed more success and student satisfaction from team-based learning compared to conventional lectures in teaching neurology to undergraduate students. It seems that application of new teaching methods such as team-based learning could be effectively introduced to improve levels of education and student learning.

A comparison of conventional lecture and team-based learning methods in terms of student learning and teaching satisfaction

PubMed Central

Jafari, Zahra

2014-01-01

Background: Team-based learning (TBL) is a structured type of cooperative learning that has growing application in medical education. This study compares levels of student learning and teaching satisfaction for a neurology course between conventional lecture and team-based learning. Methods: The study incorporated 70 students aged 19 to 22 years at the school of rehabilitation. One half of the 16 sessions of the neurology course was taught by lectures and the second half with team-based learning. Teaching satisfaction for the teaching methods was determined on a scale with 5 options in response to 20 questions. Results: Significant difference was found between lecture-based and team-based learning in final scores (p<0.001). Content validity index of the scale of student satisfaction was 94%, and external and internal consistencies of the scale were 0.954 and 0.921 orderly (p<0.001). The degree of satisfaction from TBL compared to the lecture method was 81.3%. Conclusion: Results revealed more success and student satisfaction from team-based learning compared to conventional lectures in teaching neurology to undergraduate students. It seems that application of new teaching methods such as team-based learning could be effectively introduced to improve levels of education and student learning PMID:25250250

Learning, climate and the evolution of cultural capacity.

PubMed

Whitehead, Hal

2007-03-21

Patterns of environmental variation influence the utility, and thus evolution, of different learning strategies. I use stochastic, individual-based evolutionary models to assess the relative advantages of 15 different learning strategies (genetic determination, individual learning, vertical social learning, horizontal/oblique social learning, and contingent combinations of these) when competing in variable environments described by 1/f noise. When environmental variation has little effect on fitness, then genetic determinism persists. When environmental variation is large and equal over all time-scales ("white noise") then individual learning is adaptive. Social learning is advantageous in "red noise" environments when variation over long time-scales is large. Climatic variability increases with time-scale, so that short-lived organisms should be able to rely largely on genetic determination. Thermal climates usually are insufficiently red for social learning to be advantageous for species whose fitness is very determined by temperature. In contrast, population trajectories of many species, especially large mammals and aquatic carnivores, are sufficiently red to promote social learning in their predators. The ocean environment is generally redder than that on land. Thus, while individual learning should be adaptive for many longer-lived organisms, social learning will often be found in those dependent on the populations of other species, especially if they are marine. This provides a potential explanation for the evolution of a prevalence of social learning, and culture, in humans and cetaceans.

Selective visual scaling of time-scale processes facilitates broadband learning of isometric force frequency tracking.

PubMed

King, Adam C; Newell, Karl M

2015-10-01

The experiment investigated the effect of selectively augmenting faster time scales of visual feedback information on the learning and transfer of continuous isometric force tracking tasks to test the generality of the self-organization of 1/f properties of force output. Three experimental groups tracked an irregular target pattern either under a standard fixed gain condition or with selectively enhancement in the visual feedback display of intermediate (4-8 Hz) or high (8-12 Hz) frequency components of the force output. All groups reduced tracking error over practice, with the error lowest in the intermediate scaling condition followed by the high scaling and fixed gain conditions, respectively. Selective visual scaling induced persistent changes across the frequency spectrum, with the strongest effect in the intermediate scaling condition and positive transfer to novel feedback displays. The findings reveal an interdependence of the timescales in the learning and transfer of isometric force output frequency structures consistent with 1/f process models of the time scales of motor output variability.

HD-MTL: Hierarchical Deep Multi-Task Learning for Large-Scale Visual Recognition.

PubMed

Fan, Jianping; Zhao, Tianyi; Kuang, Zhenzhong; Zheng, Yu; Zhang, Ji; Yu, Jun; Peng, Jinye

2017-02-09

In this paper, a hierarchical deep multi-task learning (HD-MTL) algorithm is developed to support large-scale visual recognition (e.g., recognizing thousands or even tens of thousands of atomic object classes automatically). First, multiple sets of multi-level deep features are extracted from different layers of deep convolutional neural networks (deep CNNs), and they are used to achieve more effective accomplishment of the coarseto- fine tasks for hierarchical visual recognition. A visual tree is then learned by assigning the visually-similar atomic object classes with similar learning complexities into the same group, which can provide a good environment for determining the interrelated learning tasks automatically. By leveraging the inter-task relatedness (inter-class similarities) to learn more discriminative group-specific deep representations, our deep multi-task learning algorithm can train more discriminative node classifiers for distinguishing the visually-similar atomic object classes effectively. Our hierarchical deep multi-task learning (HD-MTL) algorithm can integrate two discriminative regularization terms to control the inter-level error propagation effectively, and it can provide an end-to-end approach for jointly learning more representative deep CNNs (for image representation) and more discriminative tree classifier (for large-scale visual recognition) and updating them simultaneously. Our incremental deep learning algorithms can effectively adapt both the deep CNNs and the tree classifier to the new training images and the new object classes. Our experimental results have demonstrated that our HD-MTL algorithm can achieve very competitive results on improving the accuracy rates for large-scale visual recognition.

Reliability Generalization of the Patterns of Adaptive Learning Survey Goal Orientation Scales

ERIC Educational Resources Information Center

Ross, Margaret E.; Blackburn, Marcy; Forbes, Sean

2005-01-01

A reliability generalization study was completed on the Patterns of Adaptive Learning Survey achievement goal orientation scales to assess the prediction of (a) the different orientation scales, (b) the adaptation of items to meet research needs, (c) the number of respondents completing the instrument, and (d) the publication date cited for the…

Development of a Scale to Measure Learners' Perceived Preferences and Benefits of Data-Driven Learning

ERIC Educational Resources Information Center

Mizumoto, Atsushi; Chujo, Kiyomi; Yokota, Kenji

2016-01-01

In spite of researchers' and practitioners' increasing attention to data-driven learning (DDL) and increasing numbers of DDL studies, a multi-item scale to measure learners' attitude toward DDL has not been developed thus far. In the present study, we developed and validated a psychometric scale to measure learners' perceived preferences and…

Developing Academic Motivation Scale for Learning Information Technology (AMSLIT): A Study of Validity and Reliability

ERIC Educational Resources Information Center

Schreglmann, Sinan

2018-01-01

This study aimed to develop Academic Motivation Scale for Learning Information Technology for university students. For this purpose, 120 randomly selected university students studying in different classes and faculties at KSU were invited to the study during the 2016-2017 academic year. To define the scale indicators students were asked to answer…

Examining Evidence for the Validity of PISA Learning Strategy Scales Based on Student Response Processes

ERIC Educational Resources Information Center

Hopfenbeck, Therese N.; Maul, Andrew

2011-01-01

The aim of this study was to investigate response-process based evidence for the validity of the Programme for International Student Assessment's (PISA) self-report questionnaire scales as measures of specific psychological constructs, with a focus on scales meant to measure inclination toward specific learning strategies. Cognitive interviews (N…

The Turkish Version of Web-Based Learning Platform Evaluation Scale: Reliability and Validity Study

ERIC Educational Resources Information Center

Dag, Funda

2016-01-01

The purpose of this study is to determine the language equivalence and the validity and reliability of the Turkish version of the "Web-Based Learning Platform Evaluation Scale" ("Web Tabanli Ögrenme Ortami Degerlendirme Ölçegi" [WTÖODÖ]) used in the selection and evaluation of web-based learning environments. Within this scope,…

Reorganization of finger coordination patterns during adaptation to rotation and scaling of a newly learned sensorimotor transformation.

PubMed

Liu, Xiaolin; Mosier, Kristine M; Mussa-Ivaldi, Ferdinando A; Casadio, Maura; Scheidt, Robert A

2011-01-01

We examined how people organize redundant kinematic control variables (finger joint configurations) while learning to make goal-directed movements of a virtual object (a cursor) within a low-dimensional task space (a computer screen). Subjects participated in three experiments performed on separate days. Learning progressed rapidly on day 1, resulting in reduced target capture error and increased cursor trajectory linearity. On days 2 and 3, one group of subjects adapted to a rotation of the nominal map, imposed either stepwise or randomly over trials. Another group experienced a scaling distortion. We report two findings. First, adaptation rates and memory-dependent motor command updating depended on distortion type. Stepwise application and removal of the rotation induced a marked increase in finger motion variability but scaling did not, suggesting that the rotation initiated a more exhaustive search through the space of viable finger motions to resolve the target capture task than did scaling. Indeed, subjects formed new coordination patterns in compensating the rotation but relied on patterns established during baseline practice to compensate the scaling. These findings support the idea that the brain compensates direction and extent errors separately and in computationally distinct ways, but are inconsistent with the idea that once a task is learned, command updating is limited to those degrees of freedom contributing to performance (thereby minimizing energetic or similar costs of control). Second, we report that subjects who learned a scaling while moving to just one target generalized more narrowly across directions than those who learned a rotation. This contrasts with results from whole-arm reaching studies, where a learned scaling generalizes more broadly across direction than rotation. Based on inverse- and forward-dynamics analyses of reaching with the arm, we propose the difference in results derives from extensive exposure in reaching with familiar arm dynamics versus the novelty of the manual task.

Dimensionality and construct validity of an instrument designed to measure the metacognitive orientation of science classroom learning environments.

PubMed

Thomas, Gregory P

2004-01-01

The purpose of this study was to establish the factorial construct validity and dimensionality of the Metacognitive Orientation Learning Environment Scale-Science (MOLES-S) which was designed to measure the metacognitive orientation of science classroom learning environments. The metacognitive orientation of a science classroom learning environment is the extent to which psychosocial conditions that are known to enhance students' metacognition are evident within that classroom. The development of items comprising this scale was based on a theoretical understanding of metacognition, learning environments and the development of previous learning environments instruments. Four possible hypothesized structure models, each consistent with the literature, were reviewed and their merits were compared on the basis of empirical data drawn from two populations of 1026 and 1223 Hong Kong secondary school students using confirmatory factor analysis procedures. The scale was calibrated using the Rasch rating scale model using data from the 1223 student sample. The results suggest that there is strong evidence to support the factorial construct validity of the MOLES-S but that, on the basis of the Rasch analysis, there are still suggestions for further refinement and improvement of the MOLES-S.

Students' perceptions of a blended learning experience in dental education.

PubMed

Varthis, S; Anderson, O R

2018-02-01

"Flipped" instructional sequencing is a new instructional method where online instruction precedes the group meeting, allowing for more sophisticated learning through discussion and critical thinking during the in-person class session; a novel approach studied in this research. The purpose of this study was to document dental students' perceptions of flipped-based blended learning and to apply a new method of displaying their perceptions based on Likert-scale data analysis using a network diagramming method known as an item correlation network diagram (ICND). In addition, this article aimed to encourage institutions or course directors to consider self-regulated learning and social constructivism as a theoretical framework when blended learning is incorporated in dental curricula. Twenty (second year) dental students at a Northeastern Regional Dental School in the United States participated in this study. A Likert scale was administered before and after the learning experience to obtain evidence of their perceptions of its quality and educational merits. Item correlation network diagrams, based on the intercorrelations amongst the responses to the Likert-scale items, were constructed to display students' changes in perceptions before and after the learning experience. Students reported positive perceptions of the blended learning, and the ICND analysis of their responses before and after the learning experience provided insights into their social (group-based) cognition about the learning experience. The ICNDs are considered evidence of social or group-based cognition, because they are constructed from evidence obtained using intercorrelations of the total group responses to the Likert-scale items. The students positively received blended learning in dental education, and the ICND analyses demonstrated marked changes in their social cognition of the learning experience based on the pre- and post-Likert survey data. Self-regulated learning and social constructivism are encouraged as useful theoretical frameworks for a blended learning approach. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Enhancing students' learning in problem based learning: validation of a self-assessment scale for active learning and critical thinking.

PubMed

Khoiriyah, Umatul; Roberts, Chris; Jorm, Christine; Van der Vleuten, C P M

2015-08-26

Problem based learning (PBL) is a powerful learning activity but fidelity to intended models may slip and student engagement wane, negatively impacting learning processes, and outcomes. One potential solution to solve this degradation is by encouraging self-assessment in the PBL tutorial. Self-assessment is a central component of the self-regulation of student learning behaviours. There are few measures to investigate self-assessment relevant to PBL processes. We developed a Self-assessment Scale on Active Learning and Critical Thinking (SSACT) to address this gap. We wished to demonstrated evidence of its validity in the context of PBL by exploring its internal structure. We used a mixed methods approach to scale development. We developed scale items from a qualitative investigation, literature review, and consideration of previous existing tools used for study of the PBL process. Expert review panels evaluated its content; a process of validation subsequently reduced the pool of items. We used structural equation modelling to undertake a confirmatory factor analysis (CFA) of the SSACT and coefficient alpha. The 14 item SSACT consisted of two domains "active learning" and "critical thinking." The factorial validity of SSACT was evidenced by all items loading significantly on their expected factors, a good model fit for the data, and good stability across two independent samples. Each subscale had good internal reliability (>0.8) and strongly correlated with each other. The SSACT has sufficient evidence of its validity to support its use in the PBL process to encourage students to self-assess. The implementation of the SSACT may assist students to improve the quality of their learning in achieving PBL goals such as critical thinking and self-directed learning.

Colorado Learning Difficulties Questionnaire:Validation of a parent-report screening measure

PubMed Central

Willcutt, Erik G.; Boada, Richard; Riddle, Margaret W.; Chhabildas, Nomita; DeFries, John C.; Pennington, Bruce F.

2011-01-01

This study evaluated the internal structure and convergent and discriminant evidence for the Colorado Learning Difficulties Questionnaire (CLDQ), a 20-item parent-report rating scale that was developed to provide a brief screening measure for learning difficulties. CLDQ ratings were obtained from parents of children in two large community samples and two samples from clinics that specialize in the assessment of learning disabilities and related disorders (total N = 8,004). Exploratory and confirmatory factor analyses revealed five correlated but separable dimensions that were labeled reading, math, social cognition, social anxiety, and spatial difficulties. Results revealed strong convergent and discriminant evidence for the CLDQ Reading scale, suggesting that this scale may provide a useful method to screen for reading difficulties in both research studies and clinical settings. Results are also promising for the other four CLDQ scales, but additional research is needed to refine each of these measures. PMID:21574721

Interprofessional education and collaborative practice: Psychometric analysis of the Readiness for Interprofessional Learning Scale in undergraduate Serbian healthcare student context.

PubMed

Milutinović, Dragana; Lovrić, Robert; Simin, Dragana

2018-06-01

There is an implicit expectation for medical sciences students to work together effectively as members of health-care team, and interprofessional education is therefore widely accepted. Students' attitudes, which are affected by various factors, have been recognized as the most important predictors of successful implementation of interprofessional education with the aim of developing collaborative practice. The Readiness for Interprofessional Learning Scale has often been used in studies to measure these perspectives. To describe the psychometric properties of the Serbian cross-culturally adapted version of the original Readiness for Interprofessional Learning Scale, to assess the attitudes of undergraduate health science students towards interprofessional education and to evaluate whether a professional group and student characteristics have influence on attitudes towards collaborative practice and shared learning. A descriptive/analytical and comparative cross-sectional study. Faculty of Medicine in Serbia. Nursing and medical students after completed first clinical rotations (n = 257). The Readiness for Interprofessional Learning Scale for assessing attitudes among students towards interprofessional learning, Professional Identity Questionnaire for Nursing Students for assessing professional identity in nursing students, Professional Nursing Image Survey for assessing attitudes of medical students towards the nursing profession, as well as a socio-demographic questionnaire were the instruments used in this research study. The data were analysed using descriptive and inferential statistics. Exploratory factor analysis on 19 items revealed two-factors accounting for 51.1% of the total variance with the internal reliability α = 0.90. The mean total score of the Readiness for Interprofessional Learning Scale was 73.5 (SD = 11.5) indicating that students are ready for interprofessional learning. Nursing students, female students; students in their first years of studies, and those with previously completed education in the field of health care, have been more ready for interprofessional learning and collaborative practice. In the multiple linear regression analysis, gender and assessing professional nursing skills and abilities were significant predictors of medical students' readiness for interprofessional learning, whereas professional identity was for nursing students. The Serbian version of the Readiness for Interprofessional Learning Scale has proven to be reliable and valid for the "teamwork, collaboration and shared learning" subscale, while the "role and responsibilities" subscale showed lower stability. The results of this study revealed positive students' attitudes towards interprofessional learning, which is important for Serbia, as a candidate country for European Union membership, and thus making our educational system more inclusive for joining the European Higher Education Area. Copyright © 2018 Elsevier Ltd. All rights reserved.

Automated Decomposition of Model-based Learning Problems

NASA Technical Reports Server (NTRS)

Williams, Brian C.; Millar, Bill

1996-01-01

A new generation of sensor rich, massively distributed autonomous systems is being developed that has the potential for unprecedented performance, such as smart buildings, reconfigurable factories, adaptive traffic systems and remote earth ecosystem monitoring. To achieve high performance these massive systems will need to accurately model themselves and their environment from sensor information. Accomplishing this on a grand scale requires automating the art of large-scale modeling. This paper presents a formalization of [\\em decompositional model-based learning (DML)], a method developed by observing a modeler's expertise at decomposing large scale model estimation tasks. The method exploits a striking analogy between learning and consistency-based diagnosis. Moriarty, an implementation of DML, has been applied to thermal modeling of a smart building, demonstrating a significant improvement in learning rate.

An application of the TROFLEI in secondary-school science classes in New Zealand

NASA Astrophysics Data System (ADS)

Bhan Koul, Rekha; Fisher, D. L.; Shaw, Toni

2011-07-01

Background and purpose: The present study reports on the findings of a study conducted in New Zealand using the actual and preferred forms of a classroom environment instrument, the Technology-Rich Outcomes-focussed Learning Environment Inventory (TROFLEI) and three affective outcome scales. Main aims of this study were to validate the instrument for use in New Zealand; to investigate differences between students' perceptions of (a) actual and preferred learning environments, (b) year levels and (c) gender; and to investigate associations between science classroom learning environment, attitude and self-efficacy. Sample TROFLEI was administered to 1027 high-school students from 30 classes. Design and method The 80-item TROFLEI assesses 10 classroom environment dimensions: student cohesiveness, teacher support, involvement, investigation, task orientation, cooperation, equity, differentiation, computer usage and young adult ethos. The three affective outcome scales used in the study are attitude to subject, attitude to computers and academic efficacy. Results The validity and reliability of the TROFLEI and three affective outcome scales for use in New Zealand were established. Differences in actual and preferred scores confirmed that students participating in the study sought better learning environments. Female students generally perceived their technology-related learning environment more positively. Year-13 students had consistently higher means for most (8 out of 13) of the learning environment dimensions. Statistically significant associations were found between the scales of TROLFLEI and three affective outcome scales. Conclusions The results of this study assist us in understanding the psychosocial learning environments in New Zealand in a technology-supported classroom and to determine its effectiveness in terms of selected learner outcomes.

Can International Large-Scale Assessments Inform a Global Learning Goal? Insights from the Learning Metrics Task Force

ERIC Educational Resources Information Center

Winthrop, Rebecca; Simons, Kate Anderson

2013-01-01

In recent years, the global community has developed a range of initiatives to inform the post-2015 global development agenda. In the education community, International Large-Scale Assessments (ILSAs) have an important role to play in advancing a global shift in focus to access plus learning. However, there are a number of other assessment tools…

Alienation, learning or grade orientation, and achievement as correlates of attitudes toward cheating.

PubMed

Roig, M; Neaman, M A

1994-06-01

154 undergraduate students were given Gardner and Melvin's Attitudes Toward Cheating Scale, Ray's General Alienation Scale, and Eison's Learning Orientation/Grade Orientation Scale. Scores indicating condemnatory (unfavorable) attitudes toward cheating were positively correlated with grade point average and negatively correlated with alienation. Our results are consistent with a previous study which showed an association between cheating and alienation.

Relationships of the Leadership Attitudes and Beliefs Scale with Student Types, Study Habits, Life-Long Learning, and GPA

ERIC Educational Resources Information Center

Wielkiewicz, Richard M.; Prom, Christina L.; Loos, Steven

2005-01-01

The Leadership Attitudes and Beliefs Scale (LABS-III; Wielkiewicz, 2000) was validated against a measure with a more traditional, position-based definition of leadership. Disagreement with Hierarchical Thinking was associated with a higher GPA. A Life-Long Learning scale was strongly associated with GPA, Systemic Thinking, and social activism.…

Measuring Sports Class Learning Climates: The Development of the Sports Class Environment Scale

ERIC Educational Resources Information Center

Dowdell, Trevor; Tomson, L. Mich; Davies, Michael

2011-01-01

The development and validation of a new and unique learning climate instrument, the Sports Class Environment Scale (SCES), was the focus of this study. We began with a consolidation of the dimensions and items of the Perceived Motivational Climate in Sport Questionnaire-2 and the Classroom Environment Scale. Field-testing of the SCES involved 204…

Higher Education Teachers' Descriptions of Their Own Learning: A Large-Scale Study of Finnish Universities of Applied Sciences

ERIC Educational Resources Information Center

Töytäri, Aija; Piirainen, Arja; Tynjälä, Päivi; Vanhanen-Nuutinen, Liisa; Mäki, Kimmo; Ilves, Vesa

2016-01-01

In this large-scale study, higher education teachers' descriptions of their own learning were examined with qualitative analysis involving application of principles of phenomenographic research. This study is unique: it is unusual to use large-scale data in qualitative studies. The data were collected through an e-mail survey sent to 5960 teachers…

An Item Response Theory Analysis of the Community of Inquiry Scale

ERIC Educational Resources Information Center

Horzum, Mehmet Baris; Uyanik, Gülden Kaya

2015-01-01

The aim of this study is to examine validity and reliability of Community of Inquiry Scale commonly used in online learning by the means of Item Response Theory. For this purpose, Community of Inquiry Scale version 14 is applied on 1,499 students of a distance education center's online learning programs at a Turkish state university via internet.…

Excellence in Physics Education Award: SCALE-UP, Student Centered Active Learning Environment with Upside-down Pedagogies

NASA Astrophysics Data System (ADS)

Beichner, Robert

2016-03-01

The Student-Centered Active Learning Environment with Upside-down Pedagogies (SCALE-UP) Project combines curricula and a specially-designed instructional space to enhance learning. SCALE-UP students practice communication and teamwork skills while performing activities that enhance their conceptual understanding and problem solving skills. This can be done with small or large classes and has been implemented at more than 250 institutions. Educational research indicates that students should collaborate on interesting tasks and be deeply involved with the material they are studying. SCALE-UP classtime is spent primarily on ``tangibles'' and ``ponderables''--hands-on measurements/observations and interesting questions. There are also computer simulations (called ``visibles'') and hypothesis-driven labs. Students sit at tables designed to facilitate group interactions. Instructors circulate and engage in Socratic dialogues. The setting looks like a banquet hall, with lively interactions nearly all the time. Impressive learning gains have been measured at institutions across the US and internationally. This talk describes today's students, how lecturing got started, what happens in a SCALE-UP classroom, and how the approach has spread. The SCALE-UP project has greatly benefitted from numerous Grants made by NSF and FIPSE to NCSU and other institutions.

Learning Outcomes Assessment: Extrapolating from Study Abroad to International Service-Learning

ERIC Educational Resources Information Center

Rubin, Donald L.; Matthews, Paul H.

2013-01-01

For international service-learning to thrive, it must document student learning outcomes that accrue to participants. The approaches to international service-learning assessment must be compelling to a variety of stakeholders. Recent large-scale projects in study abroad learning outcomes assessment--including the Georgia Learning Outcomes of…

Interprofessional Education: What Measurable Learning Outcomes Are Realistic for the Physician Assistant Profession?

PubMed

Lohenry, Kevin; Lie, Désirée; Fung, Cha-Chi; Crandall, Sonia; Bushardt, Reamer L

2016-06-01

To compare physician assistant (PA) students' attitudes regarding interprofessional education by students' seniority, gender, age, and previous experience with interprofessional education. The validated 19-item Readiness for Interprofessional Learning Scale and the 12-item Interdisciplinary Education Perception Scale were administered to matriculating and graduating PA students from 2 US institutions (N = 186). Primary outcomes were score differences by subgroup and institution using independent sample t-tests. We also examined scale validity measured by Cronbach's alpha (internal consistency) and Pearson correlation coefficients (concurrent validity). Student demographics at both institutions were similar. Initial comparisons did not demonstrate significant institutional differences. Consequently, data were combined for subsequent analyses. Matriculating students had significantly higher mean Readiness for Interprofessional Learning Scale scores than did graduating students. No significant differences were found by gender, age, or previous interprofessional education exposure for either scale. Both scales demonstrated high internal consistency (Readiness for Interprofessional Learning Scale α = 0.93; Interdisciplinary Education Perception Scale α = 0.84). Physician assistant student attitudes regarding interprofessional education are very positive at matriculation and are less positive at graduation. Physician assistant student attitudes do not vary by gender, age, or previous interprofessional education exposure. Physician assistant educators should ensure that students' interprofessional education exposure makes full use of the students' initial positive attitudes and focuses on skill development for interprofessional education competencies.

State-dependencies of learning across brain scales

PubMed Central

Ritter, Petra; Born, Jan; Brecht, Michael; Dinse, Hubert R.; Heinemann, Uwe; Pleger, Burkhard; Schmitz, Dietmar; Schreiber, Susanne; Villringer, Arno; Kempter, Richard

2015-01-01

Learning is a complex brain function operating on different time scales, from milliseconds to years, which induces enduring changes in brain dynamics. The brain also undergoes continuous “spontaneous” shifts in states, which, amongst others, are characterized by rhythmic activity of various frequencies. Besides the most obvious distinct modes of waking and sleep, wake-associated brain states comprise modulations of vigilance and attention. Recent findings show that certain brain states, particularly during sleep, are essential for learning and memory consolidation. Oscillatory activity plays a crucial role on several spatial scales, for example in plasticity at a synaptic level or in communication across brain areas. However, the underlying mechanisms and computational rules linking brain states and rhythms to learning, though relevant for our understanding of brain function and therapeutic approaches in brain disease, have not yet been elucidated. Here we review known mechanisms of how brain states mediate and modulate learning by their characteristic rhythmic signatures. To understand the critical interplay between brain states, brain rhythms, and learning processes, a wide range of experimental and theoretical work in animal models and human subjects from the single synapse to the large-scale cortical level needs to be integrated. By discussing results from experiments and theoretical approaches, we illuminate new avenues for utilizing neuronal learning mechanisms in developing tools and therapies, e.g., for stroke patients and to devise memory enhancement strategies for the elderly. PMID:25767445

[Validity and Reliability of the Korean Version Scale of the Clinical Learning Environment, Supervision and Nurse Teacher Evaluation Scale (CLES+T)].

PubMed

Kim, Sun Hee; Yoo, So Yeon; Kim, Yae Young

2018-02-01

This study was conducted to evaluate the validity and reliability of the Korean version of the clinical learning environment, supervision and nurse teacher evaluation scale (CLES+T) that measures the clinical learning environment and the conditions associated with supervision and nurse teachers. The English CLES+T was translated into Korean with forward and back translation. Survey data were collected from 434 nursing students who had more than four days of clinical practice in Korean hospitals. Internal consistency reliability and construct validity using confirmatory and exploratory factor analysis were conducted. SPSS 20.0 and AMOS 22.0 programs were used for data analysis. The exploratory factor analysis revealed seven factors for the thirty three-item scale. Confirmatory factor analysis supported good convergent and discriminant validities. The Cronbach's alpha for the overall scale was .94 and for the seven subscales ranged from .78 to .94. The findings suggest that the 33-items Korean CLES+T is an appropriate instrument to measure Korean nursing students'clinical learning environment with good validity and reliability. © 2018 Korean Society of Nursing Science.

[Scale of organizational learning in schools. Organizational learning is a key element for the development of organizations].

PubMed

López, Verónica; Ahumada, Luis; Olivares, Rodrigo; González, Alvaro

2012-05-01

Organizational learning is a key element for the development of organizations. School organizations are not exempt from this challenge and they currently face a highly dynamic and demanding context of education policies that emphasize the school's ability to learn. Thus, research on organizational learning in educational contexts requires valid instruments that are sensitive to the specifics of schools as organizations. In this study, we adapted and validated a scale of organizational learning in a sample of 119 Chilean municipal schools (N= 1,545). The results suggest a structural model made up of three factors: culture of learning, strategic clarity, and group learning. These factors predicted dimensions of educational achievement, as measured through the National Assessment System of Educational Achievement (SNED). Results are discussed in view of the literature on school improvement.

An instrument to characterize the environment for residents' evidence-based medicine learning and practice.

PubMed

Mi, Misa; Moseley, James L; Green, Michael L

2012-02-01

Many residency programs offer training in evidence-based medicine (EBM). However, these curricula often fail to achieve optimal learning outcomes, perhaps because they neglect various contextual factors in the learning environment. We developed and validated an instrument to characterize the environment for EBM learning and practice in residency programs. An EBM Environment Scale was developed following scale development principles. A survey was administered to residents across six programs in primary care specialties at four medical centers. Internal consistency reliability was analyzed with Cronbach's coefficient alpha. Validity was assessed by comparing predetermined subscales with the survey's internal structure as assessed via factor analysis. Scores were also compared for subgroups based on residency program affiliation and residency characteristics. Out of 262 eligible residents, 124 completed the survey (response rate 47%). The overall mean score was 3.89 (standard deviation=0.56). The initial reliability analysis of the 48-item scale had a high reliability coefficient (Cronbach α=.94). Factor analysis and further item analysis resulted in a shorter 36-item scale with a satisfactory reliability coefficient (Cronbach α=.86). Scores were higher for residents with prior EBM training in medical school (4.14 versus 3.62) and in residency (4.25 versus 3.69). If further testing confirms its properties, the EBM Environment Scale may be used to understand the influence of the learning environment on the effectiveness of EBM training. Additionally, it may detect changes in the EBM learning environment in response to programmatic or institutional interventions.

Quality assurance of the clinical learning environment in Austria: Construct validity of the Clinical Learning Environment, Supervision and Nurse Teacher Scale (CLES+T scale).

PubMed

Mueller, Gerhard; Mylonas, Demetrius; Schumacher, Petra

2018-07-01

Within nursing education, the clinical learning environment is of a high importance in regards to the development of competencies and abilities. The organization, atmosphere, and supervision in the clinical learning environment are only a few factors that influence this development. In Austria there is currently no valid instrument available for the evaluation of influencing factors. The aim of the study was to test the construct validity with principal component analysis as well as the internal consistency of the German Clinical Learning Environment, Supervision and Teacher Scale (CLES+T scale) in Austria. The present validation study has a descriptive-quantitative cross-sectional design. The sample consisted of 385 nursing students from thirteen training institutions in Austria. The data collection was carried out online between March and April 2016. Starting with a polychoric correlation matrix, a parallel analysis with principal component extraction and promax rotation was carried out due to the ordinal data. The exploratory ordinal factor analysis supported a four-component solution and explained 73% of the total variance. The internal consistency of all 25 items reached a Cronbach's α of 0.95 and the four components ranged between 0.83 and 0.95. The German version of the CLES+T scale seems to be a useful instrument for identifying potential areas of improvement in clinical practice in order to derive specific quality measures for the practical learning environment. Copyright © 2018 Elsevier Ltd. All rights reserved.

LATIST: A Performance Support Tool for Integrating Technologies into Defense Acquisition University Learning Assets

DTIC Science & Technology

2011-07-01

TECHNOLOGIES INTO DEFENSE ACqUISITION UNIVERSITY LEARNING ASSETS Nada Dabbagh, Kevin Clark, Susan Dass , Salim Al Waaili, Sally Byrd, Susan...demographic data, four Likert- scale questions that targeted respondents’ familiarity with ALT, and one Likert- scale question addressing the...use of technology in learning with under- served populations. (E-mail address: kclark6@gmu.edu) Ms. Susan Dass has over 20 years’ experi- ence in

Hunting for Hydrothermal Vents at the Local-Scale Using AUV's and Machine-Learning Classification in the Earth's Oceans

NASA Astrophysics Data System (ADS)

White, S. M.

2018-05-01

New AUV-based mapping technology coupled with machine-learning methods for detecting individual vents and vent fields at the local-scale raise the possibility of understanding the geologic controls on hydrothermal venting.

The Relationship between Anxiety and Attitude of Students Learning Turkish as a Foreign Language and Their Achievement on Target Language

ERIC Educational Resources Information Center

Gocer, Ali

2014-01-01

The purpose of this study is to assess the anxiety connected with target language of the high school students learning Turkish as a foreign language. In this study, descriptive relational screening model was used. Two scales were used for collecting data. First scale was FLCAS-Foreign Language Classroom Anxiety Scale; it was developed by Horwitz…

A new learning strategy for the two-time-scale neural controller with its application to the tracking control of rigid arms

NASA Technical Reports Server (NTRS)

Cheng, W.; Wen, J. T.

1992-01-01

A novel fast learning rule with fast weight identification is proposed for the two-time-scale neural controller, and a two-stage learning strategy is developed for the proposed neural controller. The results of the stability analysis show that both the tracking error and the fast weight error will be uniformly bounded and converge to a bounded region which depends only on the accuracy of the slow learning if the system is sufficiently excited. The efficiency of the two-stage learning is also demonstrated by a simulation of a two-link arm.

From Learning Object to Learning Cell: A Resource Organization Model for Ubiquitous Learning

ERIC Educational Resources Information Center

Yu, Shengquan; Yang, Xianmin; Cheng, Gang

2013-01-01

The key to implementing ubiquitous learning is the construction and organization of learning resources. While current research on ubiquitous learning has primarily focused on concept models, supportive environments and small-scale empirical research, exploring ways to organize learning resources to make them available anywhere on-demand is also…

Relational Analysis of High School Students' Cognitive Self-Regulated Learning Strategies and Conceptions of Learning Biology

ERIC Educational Resources Information Center

Sadi, Özlem

2017-01-01

The purpose of this study was to analyze the relation between students' cognitive learning strategies and conceptions of learning biology. The two scales, "Cognitive Learning Strategies" and "Conceptions of Learning Biology", were revised and adapted to biology in order to measure the students' learning strategies and…

[Association between self-directed learning behaviors, socio-demographic and academic variables among medical students].

PubMed

Fasce H, Eduardo; Ortega B, Javiera; Pérez V, Cristhian; Márquez U, Carolina; Parra P, Paula; Ortiz M, Liliana; Matus, Olga

2013-09-01

Medical education must encourage autonomous learning behaviors among students. However the great income profile disparity among university students may influence their capacity to acquire such skills. To assess the association between self-directed learning, socio-demographic and academic variables. The self-directed learning readiness scale was applied to 202 medical students aged between 17 and 25 years (64% males). Simultaneously information about each surveyed participant was obtained from the databases of the medical school. There is an association between socio-demographic and academic variables with the general scale of self-directed learning and the subscales learning planning and willingness to learn. Participants coming from municipal schools have a greater willingness to learn than their counterparts coming from subsidized and private schools. High school grades are related to self-directed learning and the subscales learning planning and self-assessment. Among the surveyed medical students, there is a relationship between self-directed learning behaviors, the type of school where they come from and the grades that they obtained during high school.

Growth through Levels

ERIC Educational Resources Information Center

Thissen, David

2015-01-01

In "Using Learning Progressions to Design Vertical Scales that Support Coherent Inferences about Student Growth" (hereafter ULR), Briggs and Peck suggest that learning progressions could be used as the basis of vertical scales with naturally benchmarked descriptions of student proficiency. They propose and provide a single example of a…

Order Matters: Sequencing Scale-Realistic Versus Simplified Models to Improve Science Learning

NASA Astrophysics Data System (ADS)

Chen, Chen; Schneps, Matthew H.; Sonnert, Gerhard

2016-10-01

Teachers choosing between different models to facilitate students' understanding of an abstract system must decide whether to adopt a model that is simplified and striking or one that is realistic and complex. Only recently have instructional technologies enabled teachers and learners to change presentations swiftly and to provide for learning based on multiple models, thus giving rise to questions about the order of presentation. Using disjoint individual growth modeling to examine the learning of astronomical concepts using a simulation of the solar system on tablets for 152 high school students (age 15), the authors detect both a model effect and an order effect in the use of the Orrery, a simplified model that exaggerates the scale relationships, and the True-to-scale, a proportional model that more accurately represents the realistic scale relationships. Specifically, earlier exposure to the simplified model resulted in diminution of the conceptual gain from the subsequent realistic model, but the realistic model did not impede learning from the following simplified model.

The use of an active learning approach in a SCALE-UP learning space improves academic performance in undergraduate General Biology.

PubMed

Hacisalihoglu, Gokhan; Stephens, Desmond; Johnson, Lewis; Edington, Maurice

2018-01-01

Active learning is a pedagogical approach that involves students engaging in collaborative learning, which enables them to take more responsibility for their learning and improve their critical thinking skills. While prior research examined student performance at majority universities, this study focuses on specifically Historically Black Colleges and Universities (HBCUs) for the first time. Here we present work that focuses on the impact of active learning interventions at Florida A&M University, where we measured the impact of active learning strategies coupled with a SCALE-UP (Student Centered Active Learning Environment with Upside-down Pedagogies) learning environment on student success in General Biology. In biology sections where active learning techniques were employed, students watched online videos and completed specific activities before class covering information previously presented in a traditional lecture format. In-class activities were then carefully planned to reinforce critical concepts and enhance critical thinking skills through active learning techniques such as the one-minute paper, think-pair-share, and the utilization of clickers. Students in the active learning and control groups covered the same topics, took the same summative examinations and completed identical homework sets. In addition, the same instructor taught all of the sections included in this study. Testing demonstrated that these interventions increased learning gains by as much as 16%, and students reported an increase in their positive perceptions of active learning and biology. Overall, our results suggest that active learning approaches coupled with the SCALE-UP environment may provide an added opportunity for student success when compared with the standard modes of instruction in General Biology.

A robust data scaling algorithm to improve classification accuracies in biomedical data.

PubMed

Cao, Xi Hang; Stojkovic, Ivan; Obradovic, Zoran

2016-09-09

Machine learning models have been adapted in biomedical research and practice for knowledge discovery and decision support. While mainstream biomedical informatics research focuses on developing more accurate models, the importance of data preprocessing draws less attention. We propose the Generalized Logistic (GL) algorithm that scales data uniformly to an appropriate interval by learning a generalized logistic function to fit the empirical cumulative distribution function of the data. The GL algorithm is simple yet effective; it is intrinsically robust to outliers, so it is particularly suitable for diagnostic/classification models in clinical/medical applications where the number of samples is usually small; it scales the data in a nonlinear fashion, which leads to potential improvement in accuracy. To evaluate the effectiveness of the proposed algorithm, we conducted experiments on 16 binary classification tasks with different variable types and cover a wide range of applications. The resultant performance in terms of area under the receiver operation characteristic curve (AUROC) and percentage of correct classification showed that models learned using data scaled by the GL algorithm outperform the ones using data scaled by the Min-max and the Z-score algorithm, which are the most commonly used data scaling algorithms. The proposed GL algorithm is simple and effective. It is robust to outliers, so no additional denoising or outlier detection step is needed in data preprocessing. Empirical results also show models learned from data scaled by the GL algorithm have higher accuracy compared to the commonly used data scaling algorithms.

A pilot study exploring the relationship between lifelong learning and factors associated with evidence-based medicine.

PubMed

Mi, Misa; Halalau, Alexandra

2016-07-03

To explore possible relationships between residents' lifelong learning orientation, skills in practicing evidence-based medicine (EBM), and perceptions of the environment for learning and practicing EBM. This was a pilot study with a cross-sectional survey design. Out of 60 residents in a medical residency program, 29 participated in the study. Data were collected using a survey that comprised three sections: the JeffSPLL Scale, EBM Environment Scale, and an EBM skill questionnaire. Data were analyzed using SPSS and were reported with descriptive and inferential statistics (mean, standard deviation, Pearson's correlation, and a two-sample t-test). Mean scores on the JeffSPLL Scale were significantly correlated with perceptions of the EBM Scale and use of EBM resources to keep up to date or solve a specific patient care problem. There was a significant correlation between mean scores on the EBM Scale and hours per week spent in reading medical literature to solve a patient care problem. Two-sample t-tests show that residents with previous training in research methods had significantly higher scores on the JeffSPLL Scale (p=0.04), EBM Scale (p=0.006), and self-efficacy scale (p =0.024). Given the fact that physicians are expected to be lifelong learners over the course of their professional career, developing residents' EBM skills and creating interventions to improve specific areas in the EBM environment would likely foster residents' lifelong learning orientation.

Creating a Brief Rating Scale for the Assessment of Learning Disabilities Using Reliability and True Score Estimates of the Scale's Items Based on the Rasch Model

ERIC Educational Resources Information Center

Sideridis, Georgios; Padeliadu, Susana

2013-01-01

The purpose of the present studies was to provide the means to create brief versions of instruments that can aid the diagnosis and classification of students with learning disabilities and comorbid disorders (e.g., attention-deficit/hyperactivity disorder). A sample of 1,108 students with and without a diagnosis of learning disabilities took part…

Grade 12 Students' Conceptual Understanding and Mental Models of Galvanic Cells before and after Learning by Using Small-Scale Experiments in Conjunction with a Model Kit

ERIC Educational Resources Information Center

Supasorn, Saksri

2015-01-01

This study aimed to develop the small-scale experiments involving electrochemistry and the galvanic cell model kit featuring the sub-microscopic level. The small-scale experiments in conjunction with the model kit were implemented based on the 5E inquiry learning approach to enhance students' conceptual understanding of electrochemistry. The…

A Large-scale Distributed Indexed Learning Framework for Data that Cannot Fit into Memory

DTIC Science & Technology

2015-03-27

learn a classifier. Integrating three learning techniques (online, semi-supervised and active learning ) together with a selective sampling with minimum communication between the server and the clients solved this problem.

Towards AI-powered personalization in MOOC learning

NASA Astrophysics Data System (ADS)

Yu, Han; Miao, Chunyan; Leung, Cyril; White, Timothy John

2017-12-01

Massive Open Online Courses (MOOCs) represent a form of large-scale learning that is changing the landscape of higher education. In this paper, we offer a perspective on how advances in artificial intelligence (AI) may enhance learning and research on MOOCs. We focus on emerging AI techniques including how knowledge representation tools can enable students to adjust the sequence of learning to fit their own needs; how optimization techniques can efficiently match community teaching assistants to MOOC mediation tasks to offer personal attention to learners; and how virtual learning companions with human traits such as curiosity and emotions can enhance learning experience on a large scale. These new capabilities will also bring opportunities for educational researchers to analyse students' learning skills and uncover points along learning paths where students with different backgrounds may require different help. Ethical considerations related to the application of AI in MOOC education research are also discussed.

Entanglement-Based Machine Learning on a Quantum Computer

NASA Astrophysics Data System (ADS)

Cai, X.-D.; Wu, D.; Su, Z.-E.; Chen, M.-C.; Wang, X.-L.; Li, Li; Liu, N.-L.; Lu, C.-Y.; Pan, J.-W.

2015-03-01

Machine learning, a branch of artificial intelligence, learns from previous experience to optimize performance, which is ubiquitous in various fields such as computer sciences, financial analysis, robotics, and bioinformatics. A challenge is that machine learning with the rapidly growing "big data" could become intractable for classical computers. Recently, quantum machine learning algorithms [Lloyd, Mohseni, and Rebentrost, arXiv.1307.0411] were proposed which could offer an exponential speedup over classical algorithms. Here, we report the first experimental entanglement-based classification of two-, four-, and eight-dimensional vectors to different clusters using a small-scale photonic quantum computer, which are then used to implement supervised and unsupervised machine learning. The results demonstrate the working principle of using quantum computers to manipulate and classify high-dimensional vectors, the core mathematical routine in machine learning. The method can, in principle, be scaled to larger numbers of qubits, and may provide a new route to accelerate machine learning.

Test of e-Learning Related Attitudes (TeLRA) Scale: Development, Reliability and Validity Study

ERIC Educational Resources Information Center

Kisanga, D. H.; Ireson, G.

2016-01-01

The Tanzanian education system is in transition from face-to-face classroom learning to e-learning. E-learning is a new learning approach in Tanzanian Higher Learning Institutions [HLIs] and with teachers being the key stakeholders of all formal education, investigating their attitude towards e-learning is essential. So far, however, there has…

Hierarchical Learning of Tree Classifiers for Large-Scale Plant Species Identification.

PubMed

Fan, Jianping; Zhou, Ning; Peng, Jinye; Gao, Ling

2015-11-01

In this paper, a hierarchical multi-task structural learning algorithm is developed to support large-scale plant species identification, where a visual tree is constructed for organizing large numbers of plant species in a coarse-to-fine fashion and determining the inter-related learning tasks automatically. For a given parent node on the visual tree, it contains a set of sibling coarse-grained categories of plant species or sibling fine-grained plant species, and a multi-task structural learning algorithm is developed to train their inter-related classifiers jointly for enhancing their discrimination power. The inter-level relationship constraint, e.g., a plant image must first be assigned to a parent node (high-level non-leaf node) correctly if it can further be assigned to the most relevant child node (low-level non-leaf node or leaf node) on the visual tree, is formally defined and leveraged to learn more discriminative tree classifiers over the visual tree. Our experimental results have demonstrated the effectiveness of our hierarchical multi-task structural learning algorithm on training more discriminative tree classifiers for large-scale plant species identification.

Adaptation and learning: characteristic time scales of performance dynamics.

PubMed

Newell, Karl M; Mayer-Kress, Gottfried; Hong, S Lee; Liu, Yeou-Teh

2009-12-01

A multiple time scales landscape model is presented that reveals structures of performance dynamics that were not resolved in the traditional power law analysis of motor learning. It shows the co-existence of separate processes during and between practice sessions that evolve in two independent dimensions characterized by time scales that differ by about an order of magnitude. Performance along the slow persistent dimension of learning improves often as much and sometimes more during rest (memory consolidation and/or insight generation processes) than during a practice session itself. In contrast, the process characterized by the fast, transient dimension of adaptation reverses direction between practice sessions, thereby significantly degrading performance at the beginning of the next practice session (warm-up decrement). The theoretical model fits qualitatively and quantitatively the data from Snoddy's [Snoddy, G. S. (1926). Learning and stability. Journal of Applied Psychology, 10, 1-36] classic learning study of mirror tracing and other averaged and individual data sets, and provides a new account of the processes of change in adaptation and learning. 2009 Elsevier B.V. All rights reserved.

Discrimination Evidence for Examining Fourth Grade Students' Learning Disability Problems

ERIC Educational Resources Information Center

Hassan, Abdulhameed S.; Al-Harthy, Ibrahim S.

2014-01-01

This study investigated the ability of discriminate variables (perceptual-motor, hyperactivity disorder, neurological and psychological skills) to distinguish between normal (n = 68) and students with learning disabilities (n = 72) in fourth grade. Three instruments were developed: perceptual-motor scale, hyperactivity disorder scale, skills test…

Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention and oscillations.

PubMed

Grossberg, Stephen; Pilly, Praveen K

2014-02-05

A neural model proposes how entorhinal grid cells and hippocampal place cells may develop as spatial categories in a hierarchy of self-organizing maps (SOMs). The model responds to realistic rat navigational trajectories by learning both grid cells with hexagonal grid firing fields of multiple spatial scales, and place cells with one or more firing fields, that match neurophysiological data about their development in juvenile rats. Both grid and place cells can develop by detecting, learning and remembering the most frequent and energetic co-occurrences of their inputs. The model's parsimonious properties include: similar ring attractor mechanisms process linear and angular path integration inputs that drive map learning; the same SOM mechanisms can learn grid cell and place cell receptive fields; and the learning of the dorsoventral organization of multiple spatial scale modules through medial entorhinal cortex to hippocampus (HC) may use mechanisms homologous to those for temporal learning through lateral entorhinal cortex to HC ('neural relativity'). The model clarifies how top-down HC-to-entorhinal attentional mechanisms may stabilize map learning, simulates how hippocampal inactivation may disrupt grid cells, and explains data about theta, beta and gamma oscillations. The article also compares the three main types of grid cell models in the light of recent data.

Activation of the G protein-coupled estrogen receptor, but not estrogen receptor α or β, rapidly enhances social learning.

PubMed

Ervin, Kelsy Sharice Jean; Mulvale, Erin; Gallagher, Nicola; Roussel, Véronique; Choleris, Elena

2015-08-01

Social learning is a highly adaptive process by which an animal acquires information from a conspecific. While estrogens are known to modulate learning and memory, much of this research focuses on individual learning. Estrogens have been shown to enhance social learning on a long-term time scale, likely via genomic mechanisms. Estrogens have also been shown to affect individual learning on a rapid time scale through cell-signaling cascades, rather than via genomic effects, suggesting they may also rapidly influence social learning. We therefore investigated the effects of 17β-estradiol and involvement of the estrogen receptors (ERs) using the ERα agonist propyl pyrazole triol, the ERβ agonist diarylpropionitrile, and the G protein-coupled ER 1 (GPER1) agonist G1 on the social transmission of food preferences (STFP) task, within a time scale that focused on the rapid effects of estrogens. General ER activation with 17β-estradiol resulted in a modest facilitation of social learning, with mice showing a preference up to 30min of testing. Specific activation of the GPER1 also rapidly enhanced social learning, with mice showing a socially learned preference up to 2h of testing. ERα activation instead shortened the expression of a socially learned food preference, while ERβ activation had little to no effects. Thus, rapid estrogenic modulation of social learning in the STFP may be the outcome of competing action at the three main receptors. Hence, estrogens' rapid effects on social learning likely depend on the specific ERs present in brain regions recruited during social learning. Copyright © 2015 Elsevier Ltd. All rights reserved.

Assessing Learning, Quality and Engagement in Learning Objects: The Learning Object Evaluation Scale for Students (LOES-S)

ERIC Educational Resources Information Center

Kay, Robin H.; Knaack, Liesel

2009-01-01

Learning objects are interactive web-based tools that support the learning of specific concepts by enhancing, amplifying, and/or guiding the cognitive processes of learners. Research on the impact, effectiveness, and usefulness of learning objects is limited, partially because comprehensive, theoretically based, reliable, and valid evaluation…

Large-scale machine learning and evaluation platform for real-time traffic surveillance

NASA Astrophysics Data System (ADS)

Eichel, Justin A.; Mishra, Akshaya; Miller, Nicholas; Jankovic, Nicholas; Thomas, Mohan A.; Abbott, Tyler; Swanson, Douglas; Keller, Joel

2016-09-01

In traffic engineering, vehicle detectors are trained on limited datasets, resulting in poor accuracy when deployed in real-world surveillance applications. Annotating large-scale high-quality datasets is challenging. Typically, these datasets have limited diversity; they do not reflect the real-world operating environment. There is a need for a large-scale, cloud-based positive and negative mining process and a large-scale learning and evaluation system for the application of automatic traffic measurements and classification. The proposed positive and negative mining process addresses the quality of crowd sourced ground truth data through machine learning review and human feedback mechanisms. The proposed learning and evaluation system uses a distributed cloud computing framework to handle data-scaling issues associated with large numbers of samples and a high-dimensional feature space. The system is trained using AdaBoost on 1,000,000 Haar-like features extracted from 70,000 annotated video frames. The trained real-time vehicle detector achieves an accuracy of at least 95% for 1/2 and about 78% for 19/20 of the time when tested on ˜7,500,000 video frames. At the end of 2016, the dataset is expected to have over 1 billion annotated video frames.

Learning in Equity-Oriented Scale-Making Projects

ERIC Educational Resources Information Center

Jurow, A. Susan; Shea, Molly

2015-01-01

This article examines how new forms of learning and expertise are made to become consequential in changing communities of practice. We build on notions of scale making to understand how particular relations between practices, technologies, and people become meaningful across spatial and temporal trajectories of social action. A key assumption of…

Using Mediated Learning Experiences To Enhance Children's Thinking.

ERIC Educational Resources Information Center

Seng, SeokHoon

This paper focuses on the relationship between adult-child interactions and the developing cognitive competence of young children as rated by the Mediated Learning Experience (MLE) Scale. The scale was devised to reflect 10 criteria of adult-child interaction hypothesized to comprise an MLE and therefore to enhance children's cognitive…

Placeless Organizations: Collaborating for Transformation

ERIC Educational Resources Information Center

Nardi, Bonnie A.

2007-01-01

This article defines and discusses placeless organizations as sites and generators of learning on a large scale. The emphasis is on how placeless organizations structure themselves to carry out social transformation--necessarily involving intensive learning--on a national or global scale. The argument is made that place is not a necessary…

Large-Scale Modeling of Wordform Learning and Representation

ERIC Educational Resources Information Center

Sibley, Daragh E.; Kello, Christopher T.; Plaut, David C.; Elman, Jeffrey L.

2008-01-01

The forms of words as they appear in text and speech are central to theories and models of lexical processing. Nonetheless, current methods for simulating their learning and representation fail to approach the scale and heterogeneity of real wordform lexicons. A connectionist architecture termed the "sequence encoder" is used to learn…

Learning Ecosystem Complexity: A Study on Small-Scale Fishers' Ecological Knowledge Generation

ERIC Educational Resources Information Center

Garavito-Bermúdez, Diana

2018-01-01

Small-scale fisheries are learning contexts of importance for generating, transferring and updating ecological knowledge of natural environments through everyday work practices. The rich knowledge fishers have of local ecosystems is the result of the intimate relationship fishing communities have had with their natural environments across…

Framing Innovation: Do Professional Learning Communities Influence Acceptance of Large-Scale Technology Initiatives?

ERIC Educational Resources Information Center

Nolin, Anna P.

2014-01-01

This study explored the role of professional learning communities for district leadership implementing large-scale technology initiatives such as 1:1 implementations (one computing device for every student). The existing literature regarding technology leadership is limited, as is literature on how districts use existing collaborative structures…

Mapping Playgrids for Learning across Space, Time, and Scale

ERIC Educational Resources Information Center

Hollett, Ty; Kalir, Jeremiah H.

2017-01-01

In this article, we analyze the production of learner-generated playgrids. Playgrids are produced when learners knit together social media tools to participate across settings and scales, accomplish their goals, pursue interests, and make their learning more enjoyable and personally meaningful. Through case study methodology we examine how two…

Development of Learning to Learn Skills in Primary School

ERIC Educational Resources Information Center

Vainikainen, Mari-Pauliina; Wüstenberg, Sascha; Kupiainen, Sirkku; Hotulainen, Risto; Hautamäki, Jarkko

2015-01-01

In Finland, schools' effectiveness in fostering the development of transversal skills is evaluated through large-scale learning to learn (LTL) assessments. This article presents how LTL skills--general cognitive competences and learning-related motivational beliefs--develop during primary school and how they predict pupils' CPS skills at the end…

Measuring self-reported studying and learning for university students: linking attitudes and behaviours on the same scale.

PubMed

Waugh, Russell F

2002-12-01

The relationships between self-reported Approaches to Studying and Self-concept, Self-capability and Studying and Learning Behaviour are usually studied by measuring the variables separately (using factor analysis and Cronbach Alphas) and then using various correlation techniques (such as multiple regression and path analysis). This procedure has measurement problems and is called into question. To create a single scale of Studying and Learning using a model with subsets of ordered stem-items based on a Deep Approach, a Surface Approach and a Strategic Approach, integrated with three self-reported aspects (an Ideal Self-view, a Capability Self-view and a Studying and Learning Behaviour Self-view). The stem-item sample was 33, all answered in three aspects, that produced an effective item sample of 99. The person convenience sample was 431 students in education (1(st) to 4(th) year) at an Australian university during 2000. The latest Rasch Unidimensional Measurement Model Computer Program (Andrich, Lyne, Sheridan, & Luo, 2000) was used to analyse the data and create a single scale of Studying and Learning. Altogether 77 items fitted a Rasch Measurement Model and formed a scale in which the 'difficulties' of the items were ordered from 'easy' to 'hard' and the student measures of Studying and Learning were ordered from 'low' to 'high'. The proportion of observed student variance considered true was 0.96. The response categories were answered consistently and logically and the results supported many, but not all, the conceptualised ordering of the subscales. Students found it 'easy' to report a high Ideal Self-view, 'much harder' to report a high Capability Self-view, and 'harder still' to report a high Studying and Learning Behaviour for the stem-items, in accordance with the model, where items fit the measurement model. The Ideal Self-view Surface Approach items provided the most non-fit to the model. This method was highly successful in producing a single scale of Studying and Learning from self-reported Self-concepts, Self-capabilities, and Studying and Learning Behaviours, based on a Deep Approach, a Surface Approach and a Strategic Approach.

Developing an English Mobile Learning Attitude Scale for Adult Learners

ERIC Educational Resources Information Center

Liu, Tzu-Ying

2017-01-01

In recent years, with the rapid development of mobile devices, mobile learning (m-learning) has becoming another popular topic. There is a strong need for both researchers and educators to be aware of adult learners' attitudes toward English mobile learning, yet relevant studies on mobile learning to promote English learning for adult learners are…

Learning Process Questionnaire Manual. Student Approaches to Learning and Studying.

ERIC Educational Resources Information Center

Biggs, John B.

This manual describes the theory behind the Learning Process Questionnaire (LPQ) used in Australia and defines what the subscale and scale scores mean. The LPQ is a 36-item self-report questionnaire that yields scores on three basic motives for learning and three learning strategies, and on the approaches to learning that are formed by these…

Efficiency of goal-oriented communicating agents in different graph topologies: A study with Internet crawlers

NASA Astrophysics Data System (ADS)

Lőrincz, András; Lázár, Katalin A.; Palotai, Zsolt

2007-05-01

To what extent does the communication make a goal-oriented community efficient in different topologies? In order to gain insight into this problem, we study the influence of learning method as well as that of the topology of the environment on the communication efficiency of crawlers in quest of novel information in different topics on the Internet. Individual crawlers employ selective learning, function approximation-based reinforcement learning (RL), and their combination. Selective learning, in effect, modifies the starting URL lists of the crawlers, whilst RL alters the URL orderings. Real data have been collected from the web and scale-free worlds, scale-free small world (SFSW), and random world environments (RWEs) have been created by link reorganization. In our previous experiments [ Zs. Palotai, Cs. Farkas, A. Lőrincz, Is selection optimal in scale-free small worlds?, ComPlexUs 3 (2006) 158-168], the crawlers searched for novel, genuine documents and direct communication was not possible. Herein, our finding is reproduced: selective learning performs the best and RL the worst in SFSW, whereas the combined, i.e., selective learning coupled with RL is the best-by a slight margin-in scale-free worlds. This effect is demonstrated to be more pronounced when the crawlers search for different topic-specific documents: the relative performance of the combined learning algorithm improves in all worlds, i.e., in SFSW, in SFW, and in RWE. If the tasks are more complex and the work sharing is enforced by the environment then the combined learning algorithm becomes at least equal, even superior to both the selective and the RL algorithms in most cases, irrespective of the efficiency of communication. Furthermore, communication improves the performance by a large margin and adaptive communication is advantageous in the majority of the cases.

The utility of adaptive eLearning in cervical cytopathology education.

PubMed

Samulski, T Danielle; Taylor, Laura A; La, Teresa; Mehr, Chelsea R; McGrath, Cindy M; Wu, Roseann I

2018-02-01

Adaptive eLearning allows students to experience a self-paced, individualized curriculum based on prior knowledge and learning ability. The authors investigated the effectiveness of adaptive online modules in teaching cervical cytopathology. eLearning modules were created that covered basic concepts in cervical cytopathology, including artifacts and infections, squamous lesions (SL), and glandular lesions (GL). The modules used student responses to individualize the educational curriculum and provide real-time feedback. Pathology trainees and faculty from the authors' institution were randomized into 2 groups (SL or GL), and identical pre-tests and post-tests were used to compare the efficacy of eLearning modules versus traditional study methods (textbooks and slide sets). User experience was assessed with a Likert scale and free-text responses. Sixteen of 17 participants completed the SL module, and 19 of 19 completed the GL module. Participants in both groups had improved post-test scores for content in the adaptive eLearning module. Users indicated that the module was effective in presenting content and concepts (Likert scale [from 1 to 5], 4.3 of 5.0), was an efficient and convenient way to review the material (Likert scale, 4.4 of 5.0), and was more engaging than lectures and texts (Likert scale, 4.6 of 5.0). Users favored the immediate feedback and interactivity of the module. Limitations included the inability to review prior content and slow upload time for images. Learners demonstrated improvement in their knowledge after the use of adaptive eLearning modules compared with traditional methods. Overall, the modules were viewed positively by participants. Adaptive eLearning modules can provide an engaging and effective adjunct to traditional teaching methods in cervical cytopathology. Cancer Cytopathol 2018;126:129-35. © 2017 American Cancer Society. © 2017 American Cancer Society.

Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human-like learning.

PubMed

Oudeyer, Pierre-Yves

2017-01-01

Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration and autonomous choice of goals, and integrating them with deep learning opens stimulating perspectives.

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…

Lessons Learned on "Scaling Up" of Projects

ERIC Educational Resources Information Center

Viadero, Debra

2007-01-01

Having developed a technology-based teaching unit on weather that appeared to work well for middle school students, Nancy Butler Songer and her colleagues at the University of Michigan decided in the late 1990s to take the next logical step in their research program: They scaled up. This article discusses lessons learned by several faculty…

The Sense of Community in School Scale (SCSS)

ERIC Educational Resources Information Center

Admiraal, Wilfried; Lockhorst, Ditte

2012-01-01

Purpose: Teacher communities might create excellent conditions for teacher learning in schools, such as a teacher dialogue. The way teachers perceive and interpret these conditions seems to be crucial for their effects on learning. Therefore, the purpose of this paper is to develop and test the Sense of Community in School Scale (SCSS).…

Measuring Student Learning in Social Justice Courses: The Diversity and Oppression Scale

ERIC Educational Resources Information Center

Windsor, Liliane Cambraia; Shorkey, Clay; Battle, DuWayne

2015-01-01

The Diversity and Oppression Scale (DOS) is a standardized instrument measuring self-reported student learning about diversity and oppression based on requirements of the Council on Social Work Education. DOS was tested with social work students in 2 major North American universities. Factor structure was examined using exploratory factor analysis…

Assessing Students' Emotional Competence in Higher Education: Development and Validation of the Widener Emotional Learning Scale

ERIC Educational Resources Information Center

Wang, Ning; Young, Thomas; Wilhite, Stephen C.; Marczyk, Geoffrey

2011-01-01

This article reports the development and validation studies of the Widener Emotional Learning Scale (WELS), a self-report measure, for assessing students' social and emotional competence in higher education. Conceptual specifications, item development, psychometric properties, and factor structure of the instrument are reported in the article. The…

Building a Community of Learning through Early Residential Fieldwork

ERIC Educational Resources Information Center

Walsh, Cathy; Larsen, Carl; Parry, Damian

2014-01-01

The positioning of residential fieldwork early in students' higher education is an established way of attempting to build and engage them in a community of learning. In the study reported here, the benefits of such early residential fieldwork were investigated using Krausse and Coates's seven scales of engagement. These scales consider a number of…

Emerging Roles: Key Insights from Librarians in a Massive Open Online Course

ERIC Educational Resources Information Center

Stephens, Michael; Jones, Kyle M. L.

2015-01-01

From the cutting edge of innovations in online education comes the MOOC (Massive Open Online Course), a potentially disruptive and transformational mechanism for large-scale learning. What's the role of librarians in a MOOC? What can librarians learn from participating in a large-scale professional development opportunity delivered in an open…

Two New Empirically Derived Reasons To Use the Assessment of Basic Learning Abilities.

ERIC Educational Resources Information Center

Richards, David F.; Williams, W. Larry; Follette, William C.

2002-01-01

Scores on the Assessment of Basic Learning Abilities (ABLA), Vineland Adaptive Behavior Scales, and the Wechsler Intelligences Scale-Revised (WAIS-R) were obtained for 30 adults with mental retardation. Correlations between the Vineland domains and ABLA were all significant. No participants performing below ABLA Level 6 were testable on the…

Landscape-scale carbon sampling strategy-lessons learned. Chapter 17

Treesearch

John B. Bradford; Peter Weishampel; Marie-Louise Smith; Randall Kolka; David Y. Hollinger; Richard A. Birdsey; Scott Ollinger; Michael Ryan

2008-01-01

Previous chapters examined individual processes relevant to forest carbon cycling, and characterized measurement approaches for understanding those processes at landscape scales. In this final chapter, we address our overall approach to understanding forest carbon dynamics over large areas. Our objective is to identify any lessons that we learned in the course of...

An Examination of Relationships between Psychosocial Satisfaction Scales in an Online Student Learning Environment

ERIC Educational Resources Information Center

Bookout, James Marshall, Jr.

2010-01-01

Research suggests that students who are satisfied with their learning experiences are typically successful and there is a fundamental theory that suggests if the expectations of students are achieved they will be return customers. This study examined the relationships between the psychosocial satisfaction scales in an online student learning…

The Cross-Cultural Validity of the Learning Disability Index: A Reanalysis of Mishra's Data.

ERIC Educational Resources Information Center

Inglis, James; Lawson, J. S.

1985-01-01

Investigated nature of a learning disability index (LDI) for the objective assessment of verbal-nonverbal patterns of intellectual deficit on the Wechsler Intelligence Scale for Children-Revised using Factor II score coefficients derived from an unrotated principal components analysis of normative data, and average scaled scores. The…

Investigating the Relationships between Approaches to Learning, Learner Identities and Academic Achievement in Higher Education

ERIC Educational Resources Information Center

Herrmann, K. J.; Bager-Elsborg, A.; McCune, V.

2017-01-01

This paper considers relationships between approaches to learning, learner identities, self-efficacy beliefs and academic achievement in higher education. In addition to already established survey instruments, a new scale, "subject area affinity," was developed. The scale explores the extent to which students identify with their area of…

Technical Report: Kindergarten Early Learning Scale

ERIC Educational Resources Information Center

Riley-Ayers, Shannon; Jung, Kwanghee; Quinn, Jorie

2014-01-01

The Kindergarten Early Learning Scale (KELS) was developed as a concise observational assessment for young children. It examines three domains including (1) Math/Science, (2) Social Emotional/Social Studies, and (3) Language and Literacy, with a total of 10 items across the domains. Scores reported for each of the 10 items are based upon…

SCALE(ing)-UP Teaching: A Case Study of Student Motivation in an Undergraduate Course

ERIC Educational Resources Information Center

Chittum, Jessica R.; McConnell, Kathryne Drezek; Sible, Jill

2017-01-01

Teaching large classes is increasingly common; thus, demand for effective large-class pedagogy is rising. One method, titled "SCALE-UP" (Student-Centered Active Learning Environment for Undergraduate Programs), is intended for large classes and involves collaborative, active learning in a technology-rich and student-centered environment.…

Concurrent validity of persian version of wechsler intelligence scale for children - fourth edition and cognitive assessment system in patients with learning disorder.

PubMed

Rostami, Reza; Sadeghi, Vahid; Zarei, Jamileh; Haddadi, Parvaneh; Mohazzab-Torabi, Saman; Salamati, Payman

2013-04-01

The aim of this study was to compare the Persian version of the wechsler intelligence scale for children - fourth edition (WISC-IV) and cognitive assessment system (CAS) tests, to determine the correlation between their scales and to evaluate the probable concurrent validity of these tests in patients with learning disorders. One-hundered-sixty-two children with learning disorder who were presented at Atieh Comprehensive Psychiatry Center were selected in a consecutive non-randomized order. All of the patients were assessed based on WISC-IV and CAS scores questionnaires. Pearson correlation coefficient was used to analyze the correlation between the data and to assess the concurrent validity of the two tests. Linear regression was used for statistical modeling. The type one error was considered 5% in maximum. There was a strong correlation between total score of WISC-IV test and total score of CAS test in the patients (r=0.75, P<0.001). The correlations among the other scales were mostly high and all of them were statistically significant (P<0.001). A linear regression model was obtained (α = 0.51, β = 0.81 and P<0.001). There is an acceptable correlation between the WISC-IV scales and CAS test in children with learning disorders. A concurrent validity is established between the two tests and their scales.

Concurrent Validity of Persian Version of Wechsler Intelligence Scale for Children - Fourth Edition and Cognitive Assessment System in Patients with Learning Disorder

PubMed Central

Rostami, Reza; Sadeghi, Vahid; Zarei, Jamileh; Haddadi, Parvaneh; Mohazzab-Torabi, Saman; Salamati, Payman

2013-01-01

Objective The aim of this study was to compare the Persian version of the wechsler intelligence scale for children - fourth edition (WISC-IV) and cognitive assessment system (CAS) tests, to determine the correlation between their scales and to evaluate the probable concurrent validity of these tests in patients with learning disorders. Methods One-hundered-sixty-two children with learning disorder who were presented at Atieh Comprehensive Psychiatry Center were selected in a consecutive non-randomized order. All of the patients were assessed based on WISC-IV and CAS scores questionnaires. Pearson correlation coefficient was used to analyze the correlation between the data and to assess the concurrent validity of the two tests. Linear regression was used for statistical modeling. The type one error was considered 5% in maximum. Findings There was a strong correlation between total score of WISC-IV test and total score of CAS test in the patients (r=0.75, P<0.001). The correlations among the other scales were mostly high and all of them were statistically significant (P<0.001). A linear regression model was obtained (α = 0.51, β = 0.81 and P<0.001). Conclusion There is an acceptable correlation between the WISC-IV scales and CAS test in children with learning disorders. A concurrent validity is established between the two tests and their scales. PMID:23724180

Iterative learning-based decentralized adaptive tracker for large-scale systems: a digital redesign approach.

PubMed

Tsai, Jason Sheng-Hong; Du, Yan-Yi; Huang, Pei-Hsiang; Guo, Shu-Mei; Shieh, Leang-San; Chen, Yuhua

2011-07-01

In this paper, a digital redesign methodology of the iterative learning-based decentralized adaptive tracker is proposed to improve the dynamic performance of sampled-data linear large-scale control systems consisting of N interconnected multi-input multi-output subsystems, so that the system output will follow any trajectory which may not be presented by the analytic reference model initially. To overcome the interference of each sub-system and simplify the controller design, the proposed model reference decentralized adaptive control scheme constructs a decoupled well-designed reference model first. Then, according to the well-designed model, this paper develops a digital decentralized adaptive tracker based on the optimal analog control and prediction-based digital redesign technique for the sampled-data large-scale coupling system. In order to enhance the tracking performance of the digital tracker at specified sampling instants, we apply the iterative learning control (ILC) to train the control input via continual learning. As a result, the proposed iterative learning-based decentralized adaptive tracker not only has robust closed-loop decoupled property but also possesses good tracking performance at both transient and steady state. Besides, evolutionary programming is applied to search for a good learning gain to speed up the learning process of ILC. Copyright © 2011 ISA. Published by Elsevier Ltd. All rights reserved.

Facilitating Online Reflective Learning for Health and Social Care Professionals

ERIC Educational Resources Information Center

Morgan, Jane; Rawlinson, Mark; Weaver, Mike

2006-01-01

Health and social care education has a long established association with reflective learning as a way of developing post-qualifying professional practice. Reflective learning is also a key feature of self-regulatory learning, which is an essential aspect of life-long learning for today's National Health Service workforce. Using a small-scale case…

Self-Regulated Learning Ability of Chinese Distance Learners

ERIC Educational Resources Information Center

Zhao, Hong; Chen, Li; Panda, Santosh

2014-01-01

This study reports on self-regulated learning (SRL) of Chinese distance learners by using a structured SRL scale. SRL of adult and lifelong learners is a well-researched area, though its application within distance education is a new area of investigation. Open and distance learning lean heavily on self-learning and self-learning resources, though…

Ways of Knowing as Learning Styles: Learning MAGIC with a Partner.

ERIC Educational Resources Information Center

Galotti, Kathleen M.; Drebus, David W.; Reimer, Rebecca L.

2001-01-01

College student pairs learned a complex card game using a scripted set of turns and written explanations, played the game, rated perceptions of and reactions to the learning session and their partner, and completed the Attitudes Toward Thinking and Learning Scale. Significant differences in perceptions of partners and sessions related to…

Transformation for Adults in an Internet-Based Learning Environment--Is It Necessary to Be Self-Directed?

ERIC Educational Resources Information Center

Chu, Regina Juchun; Chu, Anita Zichun; Weng, Cathy; Tsai, Chin-Chung; Lin, Chia-chun

2012-01-01

This research explores the relationships between self-directed learning readiness and transformative learning theory (TLT) reflected by the Constructivist Internet-based Learning Environment Scale (CILES). A questionnaire survey about adult learner's perceptions of Internet-based learning was administered to adults enrolled in classes in community…

Assessment Is Learning: The Preposition Vanishes

ERIC Educational Resources Information Center

Hayward, Louise

2015-01-01

Scotland, in common with many countries internationally, has been learning how to align ideas from research with policy and practice. This article considers what Scotland learned from large-scale evaluations of its Assessment is for Learning (AifL) programme and the extent to which this evidence was used to inform future learning within the…

Investigating the Language and Literacy Skills Required for Independent Online Learning

ERIC Educational Resources Information Center

Silver-Pacuilla, Heidi

2008-01-01

This investigation was undertaken to investigate the threshold levels of literacy and language proficiency necessary for adult learners to use the Internet for independent learning. The report is triangulated around learning from large-scale surveys, learning from the literature, and learning from the field. Reported findings include: (1)…

Peer Learning for Change in Higher Education

ERIC Educational Resources Information Center

Hilsdon, John

2014-01-01

This paper draws upon small scale, qualitative research at a UK university to present a Learning Development (LD) perspective on peer learning. This approach is offered as a lens for exploring social aspects of learning, cultural change in higher education and implications for pedagogy and policy. Views of a small group of peer learning leaders…

Unsupervised learning on scientific ocean drilling datasets from the South China Sea

NASA Astrophysics Data System (ADS)

Tse, Kevin C.; Chiu, Hon-Chim; Tsang, Man-Yin; Li, Yiliang; Lam, Edmund Y.

2018-06-01

Unsupervised learning methods were applied to explore data patterns in multivariate geophysical datasets collected from ocean floor sediment core samples coming from scientific ocean drilling in the South China Sea. Compared to studies on similar datasets, but using supervised learning methods which are designed to make predictions based on sample training data, unsupervised learning methods require no a priori information and focus only on the input data. In this study, popular unsupervised learning methods including K-means, self-organizing maps, hierarchical clustering and random forest were coupled with different distance metrics to form exploratory data clusters. The resulting data clusters were externally validated with lithologic units and geologic time scales assigned to the datasets by conventional methods. Compact and connected data clusters displayed varying degrees of correspondence with existing classification by lithologic units and geologic time scales. K-means and self-organizing maps were observed to perform better with lithologic units while random forest corresponded best with geologic time scales. This study sets a pioneering example of how unsupervised machine learning methods can be used as an automatic processing tool for the increasingly high volume of scientific ocean drilling data.

Outcomes of an International Audiology Service-Learning Study-Abroad Program.

PubMed

Krishnan, Lata A; Richards, K Andrew R; Simpson, Jennifer M

2016-03-01

The purpose of this study was to evaluate students' academic and civic learning, with particular interest in cultural competence, gained through participation in the Speech, Language, and Hearing Sciences in Zambia study-abroad program. Twelve female students participated in the program. Quantitative data collected included pre- and postprogram administration of the Public Affairs Scale (Levesque-Bristol & Cornelius-White, 2012) to measure changes in participants' civic learning. Qualitative data included journals, end-of-program reflection papers, videos, and researcher field notes. Feedback was also obtained from community-partner organizations via a questionnaire and rating scale. Comparison of the pre- and postprogram Public Affairs Scale data showed a significant increase in cultural competence and a marginal increase in community engagement at the conclusion of the program. Qualitative data showed that participants' cultural awareness was increased, they benefited from hands-on learning, and they experienced a variety of emotions and emotional and personal growth. Results show that a short-term study-abroad program with a service-learning component can be a mechanism for students to enhance academic and civic learning, specifically cultural competence and clinical skills. Sustainability of programs is a challenge that needs to be addressed.

Supporting Learning in the Digital Age: E-Learning Strategies for NOUN (National Open University of Nigeria)

ERIC Educational Resources Information Center

Nkechinyere, Amadi Martha

2011-01-01

E-learning has long been celebrated as the solution to access in education. There seems to be a belief worldwide that by including e-learning technologies in learning packages, learners' success and economies of scale will be ensured in ODL (open and distance learning). New innovations like the internet and mobile technologies provide a great…

Midwifery students׳ experiences of an innovative clinical placement model embedded within midwifery continuity of care in Australia.

PubMed

Carter, Amanda G; Wilkes, Elizabeth; Gamble, Jenny; Sidebotham, Mary; Creedy, Debra K

2015-08-01

midwifery continuity of care experiences can provide high quality clinical learning for students but can be challenging to implement. The Rural and Private Midwifery Education Project (RPMEP) is a strategic government funded initiative to (1) grow the midwifery workforce within private midwifery practice and rural midwifery, by (2) better preparing new graduates to work in private midwifery and rural continuity of care models. this study evaluated midwifery students׳ experience of an innovative continuity of care clinical placement model in partnership with private midwifery practice and rural midwifery group practices. a descriptive cohort design was used. All students in the RPMEP were invited to complete an online survey about their experiences of clinical placement within midwifery continuity models of care. Responses were analysed using descriptive statistics. Correlations between total scale scores were examined. Open-ended responses were analysed using content analysis. Internal reliability of the scales was assessed using Cronbach׳s alpha. sixteen out of 17 completed surveys were received (94% response rate). Scales included in the survey demonstrated good internal reliability. The majority of students felt inspired by caseload approaches to care, expressed overall satisfaction with the mentoring received and reported a positive learning environment at their placement site. Some students reported stress related to course expectations and demands in the clinical environment (e.g. skill acquisition and hours required for continuity of care). There were significant correlations between scales on perceptions of caseload care and learning culture (r=.87 p<.001) and assessment (r=.87 p<.001). Scores on the clinical learning environment scale were significantly correlated with perceptions of the caseload model (rho=.86 p<.001), learning culture (rho=.94 p<.001) and assessment (rho=.65 p<.01) scales. embedding students within midwifery continuity of care models was perceived to be highly beneficial to learning, developed partnerships with women, and provided appropriate clinical skills development required for registration, while promoting students׳ confidence and competence. The flexible academic programme enabled students to access learning at any time and prioritise continuity of care experiences. Strategies are needed to better support students achieve a satisfactory work-life balance. Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved.

Strong Community, Deep Learning: Exploring the Link

ERIC Educational Resources Information Center

Chapman, Carole; Ramondt, Leonie; Smiley, Glenn

2005-01-01

This explores the constructivist understanding that shared practitioner research in collaborative online spaces leads to deeper learning. The research was developed within the context of building the National College of School Leaderships (NCSLs) online learning communities. A community and a learning scale, both emerging through grounded…

An Educational Implementation Process Staff Survey: Lessons Learned.

PubMed

Delmore, Barbara; Kent, Martha

2018-05-01

To evaluate the education process for the effective use of the Munro Pressure Ulcer Risk Assessment Scale by practicing perioperative staff at an urban tertiary medical center. Given that pressure injury formation is tied to the surgical process, there is a need for a pressure injury risk assessment scale that addresses the uniqueness of the perioperative process. Participants were staff who worked in the surgical admissions area, the main operating room, and the main postanesthesia care unit. The authors' facility was 1 of 8 participants in a multisite study. Each site was required to educate staff using standard written instructions and an instructional webinar. However, sites were also encouraged to consider any other methods that would successfully engage the staff in the learning process. After the education process, staff were surveyed and asked to evaluate the educational interventions. Findings indicated that the staff did not prefer written instructions alone but rather preferred a combination of different learning modalities and media to assist them in using the Munro Scale effectively. This article discusses the strategies required to engage staff in the implementation process of this scale, the barriers encountered during this implementation, and the implications for perioperative nursing using this scale. The lessons learned from conducting this research provided insight into engaging and educating the adult learner in a new process.

Prototype Vector Machine for Large Scale Semi-Supervised Learning

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

Zhang, Kai; Kwok, James T.; Parvin, Bahram

2009-04-29

Practicaldataminingrarelyfalls exactlyinto the supervisedlearning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised learning (SSL). We note that the computationalintensivenessofgraph-based SSLarises largely from the manifold or graph regularization, which in turn lead to large models that are dificult to handle. To alleviate this, we proposed the prototype vector machine (PVM), a highlyscalable,graph-based algorithm for large-scale SSL. Our key innovation is the use of"prototypes vectors" for effcient approximation on both the graph-based regularizer and model representation. The choice of prototypes are grounded upon two important criteria: they not only perform effective low-rank approximation of themore » kernel matrix, but also span a model suffering the minimum information loss compared with the complete model. We demonstrate encouraging performance and appealing scaling properties of the PVM on a number of machine learning benchmark data sets.« less

Inquiring Minds Want to Know: Progress Report on SCALE-UP Physics at Penn State Erie

NASA Astrophysics Data System (ADS)

Hall, Jonathan

2008-03-01

SCALE-UP (Student Centered Activities for Large Enrollment University Programs) is a ``studio'' approach to learning developed by Bob Beichner at North Carolina State University. SCALE-UP was adapted for teaching and learning in the introductory calculus-based mechanics course at Penn State Erie, The Behrend College, starting in Spring 2007. We are presently doing quantitative and qualitative research on using inquiry-based learning with first year college students, in particular how it effects female students and students from groups that are traditionally under-represented in STEM fields. Using field notes of observations of the classes, focus groups, and the collection of quantitative data, the feedback generated by the research is also being used to improve the delivery of the course, and in the planning of adopting SCALE-UP to the second semester course on electromagnetism in the Fall 2008 semester.

A machine learning approach for efficient uncertainty quantification using multiscale methods

NASA Astrophysics Data System (ADS)

Chan, Shing; Elsheikh, Ahmed H.

2018-02-01

Several multiscale methods account for sub-grid scale features using coarse scale basis functions. For example, in the Multiscale Finite Volume method the coarse scale basis functions are obtained by solving a set of local problems over dual-grid cells. We introduce a data-driven approach for the estimation of these coarse scale basis functions. Specifically, we employ a neural network predictor fitted using a set of solution samples from which it learns to generate subsequent basis functions at a lower computational cost than solving the local problems. The computational advantage of this approach is realized for uncertainty quantification tasks where a large number of realizations has to be evaluated. We attribute the ability to learn these basis functions to the modularity of the local problems and the redundancy of the permeability patches between samples. The proposed method is evaluated on elliptic problems yielding very promising results.

[Empathy, inter-professional collaboration, and lifelong medical learning in Spanish and Latin-American physicians-in-training who start their postgraduate training in hospitals in Spain. Preliminary outcomes].

PubMed

San-Martín, Montserrat; Roig-Carrera, Helena; Villalonga-Vadell, Rosa M; Benito-Sevillano, Carmen; Torres-Salinas, Miquel; Claret-Teruel, Gemma; Robles, Bernabé; Sans-Boix, Antonia; Alcorta-Garza, Adelina; Vivanco, Luis

2017-01-01

To identify similarities and differences in empathy, abilities toward inter-professional collaboration, and lifelong medical learning, between Spanish and Latin-American physicians-in-training who start their posgraduate training in teaching hospitals in Spain. Observational study using self-administered questionnaires. Five teaching hospitals in the province of Barcelona, Spain. Spanish and Latin-American physicians-in-training who started their first year of post-graduate medical training. Empathy was measured using the Jefferson scale of empathy. Abilities for inter-professional collaboration were measured using the Jefferson scale attitudes towards nurse-physician collaboration. Learning was measured using the Jefferson scale of medical lifelong learning scale. From a sample of 156 physicians-in-training, 110 from Spain and 40 from Latin America, the Spanish group showed the highest empathy (p<.05). On the other hand, Latin-American physicians had the highest scores in lifelong learning abilities (p<.001). A positive relationship was found between empathy and inter-professional collaboration for the whole sample (r=+0.34; p<.05). These results confirm previous preliminary data and underline the positive influence of empathy in the development of inter-professional collaboration abilities. In Latin-American physicians who start posgraduate training programs, lifelong learning abilities have a positive influence on the development of other professional competencies. Copyright © 2016 Elsevier España, S.L.U. All rights reserved.

Social Emotional Learning and Educational Stress: A Predictive Model

ERIC Educational Resources Information Center

Arslan, Serhat

2015-01-01

The purpose of this study is to examine the relationship between social emotional learning and educational stress. Participants were 321 elementary students. Social emotional learning and educational stress scale were used as measures. The relationships between social emotional learning and educational stress were examined using correlation…

Learning across Levels

ERIC Educational Resources Information Center

Stahl, Gerry

2013-01-01

The theme of this year's Computer-Supported Collaborative Learning (CSCL) 2013 conference--"To see the world 'and' a grain of sand: Learning across levels of space, time and scale"--targets a provocative challenge for CSCL, namely that the interactions of collaborative learning be understood, supported and analysed at multiple levels. As the…

Concurrent Validity of the Stanford-Binet: Fourth Edition and Kaufman Assessment Battery for Children with Learning-Disabled Students.

ERIC Educational Resources Information Center

Knight, B. Caleb; And Others

1990-01-01

Examined the concurrent validity of the composite and area scores of the Stanford-Binet Intelligence Scale: Fourth Edition (SBIV) and the Mental Processing Composite and global scale scores of the Kaufman Assessment Battery for Children in Black, learning-disabled elementary school students (N=30). Findings demonstrated adequate concurrent…

Multiple Views of Space: Continuous Visual Flow Enhances Small-Scale Spatial Learning

ERIC Educational Resources Information Center

Holmes, Corinne A.; Marchette, Steven A.; Newcombe, Nora S.

2017-01-01

In the real word, we perceive our environment as a series of static and dynamic views, with viewpoint transitions providing a natural link from one static view to the next. The current research examined if experiencing such transitions is fundamental to learning the spatial layout of small-scale displays. In Experiment 1, participants viewed a…

DL-sQUAL: A Multiple-Item Scale for Measuring Service Quality of Online Distance Learning Programs

ERIC Educational Resources Information Center

Shaik, Naj; Lowe, Sue; Pinegar, Kem

2006-01-01

Education is a service with multiplicity of student interactions over time and across multiple touch points. Quality teaching needs to be supplemented by consistent quality supporting services for programs to succeed under the competitive distance learning landscape. ServQual and e-SQ scales have been proposed for measuring quality of traditional…

Students' Perceptions of Edmodo and Mobile Learning and Their Real Barriers towards Them

ERIC Educational Resources Information Center

Al-Said, Khaleel M.

2015-01-01

The present research aims to investigate the students' perceptions levels of Edmodo and Mobile learning and to identify the real barriers of them at Taibah University in KSA. After implemented Edmodo application as an Mlearning platform, two scales were applied on the research sample, the first scale consisted of 36 statements was constructed to…

Science Curiosity in Learning Environments: Developing an Attitudinal Scale for Research in Schools, Homes, Museums, and the Community

ERIC Educational Resources Information Center

Weible, Jennifer L.; Zimmerman, Heather Toomey

2016-01-01

Although curiosity is considered an integral aspect of science learning, researchers have debated how to define, measure, and support its development in individuals. Prior measures of curiosity include questionnaire type scales (primarily for adults) and behavioral measures. To address the need to measure scientific curiosity, the Science…

Mathematical Micro-Identities: Moment-to-Moment Positioning and Learning in a Fourth-Grade Classroom

ERIC Educational Resources Information Center

Wood, Marcy B.

2013-01-01

Identity is an important tool for understanding students' participation in mathematics lessons. Researchers usually examine identity at a macro-scale: across typical classroom activity and in students' self-reports. However, learning occurs on a micro-scale: in moments during a lesson. To capture identity in these moments, I used positioning…

Examining the Influence of Self-Efficacy and Self-Regulation in Online Learning

ERIC Educational Resources Information Center

Bradley, Rachel L.; Browne, Blaine L.; Kelley, Heather M.

2017-01-01

This paper examined self-efficacy and self-regulatory skills and their influence on achievement in an online learning environment. This study utilized the Online Academic Success Indicators Scale (OASIS). The results of the scale were compared to previous tests measuring the predictive nature of self-efficacy and self-regulatory skills on academic…

Identifying Psychometric Properties of the Social-Emotional Learning Skills Scale

ERIC Educational Resources Information Center

Esen-Aygun, Hanife; Sahin-Taskin, Cigdem

2017-01-01

This study aims to develop a comprehensive scale of social-emotional learning. After constructing a wide range of item pool and expertise evaluation, validity and reliability studies were carried out through using the data-set of 439 primary school students at 3rd and 4th grade levels. Exploratory and confirmatory factor analysis results revealed…

Using a Dialogue System Based on Dialogue Maps for Computer Assisted Second Language Learning

ERIC Educational Resources Information Center

Choi, Sung-Kwon; Kwon, Oh-Woog; Kim, Young-Kil; Lee, Yunkeun

2016-01-01

In order to use dialogue systems for computer assisted second-language learning systems, one of the difficult issues in such systems is how to construct large-scale dialogue knowledge that matches the dialogue modelling of a dialogue system. This paper describes how we have accomplished the short-term construction of large-scale and…

"It's Really Making a Difference": How Small-Scale Research Projects Can Enhance Teaching and Learning

ERIC Educational Resources Information Center

Dexter, Barbara; Seden, Roy

2012-01-01

Following an internal evaluation exercise, using Action Research, this paper identifies the positive impact of small-scale research projects on teaching and learning at a single case study UK University. Clear evidence is given of how the projects benefited students and staff, and enhanced institutional culture. Barriers to better practice are…

A Cross-Cultural Validation of the Learning-Related Boredom Scale (LRBS) with Canadian and Chinese College Students

ERIC Educational Resources Information Center

Tze, Virginia M. C.; Klassen, Robert M.; Daniels, Lia M.; Li, Johnson C.-H.; Zhang, Xiao

2013-01-01

This study evaluated the psychometric properties of the Learning-Related Boredom Scale (LRBS) from the Academic Emotions Questionnaire (AEQ; Pekrun, Goetz, & Perry, 2005; Pekrun, Goetz, Titz, & Perry, 2002) in a sample of 405 university students from Canada and China. Multigroup confirmatory factor analysis was used to test the factor…

Test Scatter on the WISC-R in Learning Disabled Children.

ERIC Educational Resources Information Center

Tabachnick, Barbara Gerson

Scatter on the revised Wechsler Intelligence Scale for children (WISC-R) was evaluated for 105 learning disabled (LD) children. Scatter was defined as range of scaled scores on: (1) five regular verbal tests; (2) five regular performance tests; and (3) all 10 regular subtests. Pairwise combinations of 11 subtests were also evaluated for deviations…

Live Scale Active Shooter Exercise: Lessons Learned

ERIC Educational Resources Information Center

Ervin, Randy

2008-01-01

On October 23, 2007, the Lake Land College Public Safety Department conducted a full-scale live exercise that simulated an active shooter and barricaded hostage. In this article, the author will emphasize what they learned, and how they intend to benefit from it. He will list the law enforcement issues and general issues they encountered, and then…

Similarity of WISC-R and WAIS-R Scores at Age 16.

ERIC Educational Resources Information Center

Sandoval, Jonathan; And Others

1988-01-01

Examined similarity of scores of 30 learning disabled students (aged 16 and 17) on the Wechsler Intelligence Scale for Children-Revised (WISC-R) and the Wechsler Adult Intelligence Scale-Revised (WAIS-R). Results documented similarity between WISC-R and WAIS-R for 16 year-olds who were learning disabled and had average intellectual ability.…

Students' Attitudes towards Edmodo, a Social Learning Network: A Scale Development Study

ERIC Educational Resources Information Center

Yunkul, Eyup; Cankaya, Serkan

2017-01-01

Social Learning Networks (SLNs) are the developed forms of Social Network Sites (SNSs) adapted to educational environments, and they are used by quite a large population throughout the world. In addition, in related literature, there is no scale for the measurement of students' attitudes towards such sites. The purpose of this study was to develop…

Multi-Scale Distributed Representation for Deep Learning and its Application to b-Jet Tagging

NASA Astrophysics Data System (ADS)

Lee, Jason Sang Hun; Park, Inkyu; Park, Sangnam

2018-06-01

Recently machine learning algorithms based on deep layered artificial neural networks (DNNs) have been applied to a wide variety of high energy physics problems such as jet tagging or event classification. We explore a simple but effective preprocessing step which transforms each realvalued observational quantity or input feature into a binary number with a fixed number of digits. Each binary digit represents the quantity or magnitude in different scales. We have shown that this approach improves the performance of DNNs significantly for some specific tasks without any further complication in feature engineering. We apply this multi-scale distributed binary representation to deep learning on b-jet tagging using daughter particles' momenta and vertex information.

Learning from Their Own Learning: How Metacognitive and Meta-Affective Reflections Enhance Learning in Race-Related Courses

ERIC Educational Resources Information Center

Chick, Nancy; Karis, Terri; Kernahan, Cyndi

2009-01-01

This interdisciplinary project examined how students think and feel about their learning in race-related diversity courses. Students in four classes (literature, psychology, geography) reflected on cognitive and affective dimensions of their own and their classmates' learning. The Color Blind Racial Attitudes Scales (CoBRAS) confirmed qualitative…

Academic Progress Depending on the Skills and Qualities of Learning in Students of a Business School

ERIC Educational Resources Information Center

de Jesús, Araiza Vázquez María; Claudia, Dörfer; Rosalinda, Castillo Corpus

2015-01-01

This research was to establish the relationship between qualities of learning; learning skills and academic performance in undergraduate students. 310 undergraduates participated in this research of which 72% are female and 28% male. All responded Scale Learning Strategies of Roman and Gallego (1994) and Questionnaire Learning Styles of…

Meaningful Learning with Mobile Devices: Pre-Service Class Teachers' Experiences of Mobile Learning in the Outdoors

ERIC Educational Resources Information Center

Kärki, Tomi; Keinänen, Heli; Tuominen, Anu; Hoikkala, Marianna; Matikainen, Eila; Maijala, Hanna

2018-01-01

The authors consider the use of mobile learning environment ActionTrack in teacher education. Pre-service class teachers' (N = 277) experiences of the mobile learning environment were measured with a 7-point Likert-scale questionnaire based on seven attributes of meaningful learning. Students' ratings for different attributes were analysed…

A Scale Development for Teacher Competencies on Cooperative Learning Method

ERIC Educational Resources Information Center

Kocabas, Ayfer; Erbil, Deniz Gokce

2017-01-01

Cooperative learning method is a learning method studied both in Turkey and in the world for long years as an active learning method. Although cooperative learning method takes place in training programs, it cannot be implemented completely in the direction of its principles. The results of the researches point out that teachers have problems with…

How Do We Model Learning at Scale? A Systematic Review of Research on MOOCs

ERIC Educational Resources Information Center

Joksimovic, Srecko; Poquet, Oleksandra; Kovanovic, Vitomir; Dowell, Nia; Mills, Caitlin; Gaševic, Dragan; Dawson, Shane; Graesser, Arthur C.; Brooks, Christopher

2018-01-01

Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes remain unexplored. This study presents a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis…

Bypassing the Kohn-Sham equations with machine learning.

PubMed

Brockherde, Felix; Vogt, Leslie; Li, Li; Tuckerman, Mark E; Burke, Kieron; Müller, Klaus-Robert

2017-10-11

Last year, at least 30,000 scientific papers used the Kohn-Sham scheme of density functional theory to solve electronic structure problems in a wide variety of scientific fields. Machine learning holds the promise of learning the energy functional via examples, bypassing the need to solve the Kohn-Sham equations. This should yield substantial savings in computer time, allowing larger systems and/or longer time-scales to be tackled, but attempts to machine-learn this functional have been limited by the need to find its derivative. The present work overcomes this difficulty by directly learning the density-potential and energy-density maps for test systems and various molecules. We perform the first molecular dynamics simulation with a machine-learned density functional on malonaldehyde and are able to capture the intramolecular proton transfer process. Learning density models now allows the construction of accurate density functionals for realistic molecular systems.Machine learning allows electronic structure calculations to access larger system sizes and, in dynamical simulations, longer time scales. Here, the authors perform such a simulation using a machine-learned density functional that avoids direct solution of the Kohn-Sham equations.

The Implementation of Research-based Learning on Biology Seminar Course in Biology Education Study Program of FKIP UMRAH

NASA Astrophysics Data System (ADS)

Amelia, T.

2018-04-01

Biology Seminar is a course in Biology Education Study Program of Faculty of Teacher Training and Education University of Maritim Raja Ali Haji (FKIP UMRAH) that requires students to have the ability to apply scientific attitudes, perform scientific writing and undertake scientific publications on a small scale. One of the learning strategies that can drive the achievement of learning outcomes in this course is Research-Based Learning. Research-Based Learning principles are considered in accordance with learning outcomes in Biology Seminar courses and generally in accordance with the purpose of higher education. On this basis, this article which is derived from a qualitative research aims at describing Research-based Learning on Biology Seminar course. Based on a case study research, it was known that Research-Based Learning on Biology Seminar courses is applied through: designing learning activities around contemporary research issues; teaching research methods, techniques and skills explicitly within program; drawing on personal research in designing and teaching courses; building small-scale research activities into undergraduate assignment; and infusing teaching with the values of researchers.

Distance-Learning, ADHD Quality Improvement in Primary Care: A Cluster-Randomized Trial.

PubMed

Fiks, Alexander G; Mayne, Stephanie L; Michel, Jeremy J; Miller, Jeffrey; Abraham, Manju; Suh, Andrew; Jawad, Abbas F; Guevara, James P; Grundmeier, Robert W; Blum, Nathan J; Power, Thomas J

2017-10-01

To evaluate a distance-learning, quality improvement intervention to improve pediatric primary care provider use of attention-deficit/hyperactivity disorder (ADHD) rating scales. Primary care practices were cluster randomized to a 3-part distance-learning, quality improvement intervention (web-based education, collaborative consultation with ADHD experts, and performance feedback reports/calls), qualifying for Maintenance of Certification (MOC) Part IV credit, or wait-list control. We compared changes relative to a baseline period in rating scale use by study arm using logistic regression clustered by practice (primary analysis) and examined effect modification by level of clinician participation. An electronic health record-linked system for gathering ADHD rating scales from parents and teachers was implemented before the intervention period at all sites. Rating scale use was ascertained by manual chart review. One hundred five clinicians at 19 sites participated. Differences between arms were not significant. From the baseline to intervention period and after implementation of the electronic system, clinicians in both study arms were significantly more likely to administer and receive parent and teacher rating scales. Among intervention clinicians, those who participated in at least 1 feedback call or qualified for MOC credit were more likely to give parents rating scales with differences of 14.2 (95% confidence interval [CI], 0.6-27.7) and 18.8 (95% CI, 1.9-35.7) percentage points, respectively. A 3-part clinician-focused distance-learning, quality improvement intervention did not improve rating scale use. Complementary strategies that support workflows and more fully engage clinicians may be needed to bolster care. Electronic systems that gather rating scales may help achieve this goal. Index terms: ADHD, primary care, quality improvement, clinical decision support.

A Demographic Survey of Learning Behaviors among American Students

ERIC Educational Resources Information Center

Schaefer, Barbara A.

2004-01-01

A nationally representative survey of students' learning behaviors observed by classroom teachers of 1,500 school-aged American youth is presented. Participants comprised the standardization cohort of the Learning Behaviors Scale (McDermott, Green, Francis, & Stott, 1999) stratified according to the U.S. Census. Base rates of learning behaviors…

Does the Room Matter? Active Learning in Traditional and Enhanced Lecture Spaces

ERIC Educational Resources Information Center

Stoltzfus, Jon R.; Libarkin, Julie

2016-01-01

SCALE-UP-type classrooms, originating with the Student-Centered Active Learning Environment with Upside-down Pedagogies project, are designed to facilitate active learning by maximizing opportunities for interactions between students and embedding technology in the classroom. Positive impacts when active learning replaces lecture are well…

Development and Validation of an English Language Teacher Learning Scale

ERIC Educational Resources Information Center

Aliakbari, Mohammad; Malmir, Bahareh

2017-01-01

Teacher learning is of significant importance in mainstream education and a number of attempts have been made to measure the quality of teacher learning across different contexts. The available instruments, however, have been originally developed to assess teachers' perceptions of a single contributive element of teacher learning; therefore,…

Integrating visual learning within a model-based ATR system

NASA Astrophysics Data System (ADS)

Carlotto, Mark; Nebrich, Mark

2017-05-01

Automatic target recognition (ATR) systems, like human photo-interpreters, rely on a variety of visual information for detecting, classifying, and identifying manmade objects in aerial imagery. We describe the integration of a visual learning component into the Image Data Conditioner (IDC) for target/clutter and other visual classification tasks. The component is based on an implementation of a model of the visual cortex developed by Serre, Wolf, and Poggio. Visual learning in an ATR context requires the ability to recognize objects independent of location, scale, and rotation. Our method uses IDC to extract, rotate, and scale image chips at candidate target locations. A bootstrap learning method effectively extends the operation of the classifier beyond the training set and provides a measure of confidence. We show how the classifier can be used to learn other features that are difficult to compute from imagery such as target direction, and to assess the performance of the visual learning process itself.

Assessing student engagement and self-regulated learning in a medical gross anatomy course.

PubMed

Pizzimenti, Marc A; Axelson, Rick D

2015-01-01

In courses with large enrollment, faculty members sometimes struggle with an understanding of how individual students are engaging in their courses. Information about the level of student engagement that instructors would likely find most useful can be linked to: (1) the learning strategies that students are using; (2) the barriers to learning that students are encountering; and (3) whether the course materials and activities are yielding the intended learning outcomes. This study drew upon self-regulated learning theory (SRL) to specify relevant information about learning engagement, and how the measures of particular scales might prove useful for student/faculty reflection. We tested the quality of such information as collected via the Motivated Strategies for Learning Questionnaire (MSLQ). MSLQ items were administered through a web-based survey to 150 students in a first-year medical gross anatomy course. The resulting 66 responses (44% response rate) were examined for information quality (internal reliability and predictive validity) and usefulness of the results to the course instructor. Students' final grades in the course were correlated with their MSLQ scale scores to assess the predictive validity of the measures. These results were consistent with the course design and expectations, showing that greater use of learning strategies such as elaboration and critical thinking was associated with higher levels of performance in the course. Motivation subscales for learning were also correlated with the higher levels of performance in the course. The extent to which these scales capture valid and reliable information in other institutional settings and courses needs further investigation. © 2014 American Association of Anatomists.

Learned helplessness among families and surrogate decision-makers of patients admitted to medical, surgical, and trauma ICUs.

PubMed

Sullivan, Donald R; Liu, Xinggang; Corwin, Douglas S; Verceles, Avelino C; McCurdy, Michael T; Pate, Drew A; Davis, Jennifer M; Netzer, Giora

2012-12-01

We sought to determine the prevalence of and clinical variables associated with learned helplessness, a psychologic state characterized by reduced motivation, difficulty in determining causality, and depression, in family members of patients admitted to ICUs. We conducted an observational survey study of a prospectively defined cohort of family members, spouses, and partners of patients admitted to surgical, medical, and trauma ICUs at a large academic medical center. Two validated instruments, the Learned Helplessness Scale and the Perceived Stress Scale, were used, and self-report of patient clinical characteristics and subject demographics were collected. Four hundred ninety-nine family members were assessed. Of these, 238 of 460 (51.7%) had responses consistent with a significant degree of learned helplessness. Among surrogate decision-makers, this proportion was 50% (92 of 184). Characteristics associated with significant learned helplessness included grade or high school education (OR, 3.27; 95% CI, 1.29-8.27; P = .01) and Perceived Stress Scale score > 18 (OR, 4.15; 95% CI, 2.65-6.50; P < .001). The presence of a patient advance directive or do not resuscitate (DNR) order was associated with reduced odds of significant learned helplessness (OR, 0.56; 95% CI, 0.32-0.98; P = .05). The majority of family members of patients in the ICU experience significant learned helplessness. Risk factors for learned helplessness include lower educational levels, absence of an advance directive or DNR order, and higher stress levels among family members. Significant learned helplessness in family members may have negative implications in the collaborative decision-making process.

Learned Helplessness Among Families and Surrogate Decision-Makers of Patients Admitted to Medical, Surgical, and Trauma ICUs

PubMed Central

Sullivan, Donald R.; Liu, Xinggang; Corwin, Douglas S.; Verceles, Avelino C.; McCurdy, Michael T.; Pate, Drew A.; Davis, Jennifer M.

2012-01-01

Background: We sought to determine the prevalence of and clinical variables associated with learned helplessness, a psychologic state characterized by reduced motivation, difficulty in determining causality, and depression, in family members of patients admitted to ICUs. Methods: We conducted an observational survey study of a prospectively defined cohort of family members, spouses, and partners of patients admitted to surgical, medical, and trauma ICUs at a large academic medical center. Two validated instruments, the Learned Helplessness Scale and the Perceived Stress Scale, were used, and self-report of patient clinical characteristics and subject demographics were collected. Results: Four hundred ninety-nine family members were assessed. Of these, 238 of 460 (51.7%) had responses consistent with a significant degree of learned helplessness. Among surrogate decision-makers, this proportion was 50% (92 of 184). Characteristics associated with significant learned helplessness included grade or high school education (OR, 3.27; 95% CI, 1.29-8.27; P = .01) and Perceived Stress Scale score > 18 (OR, 4.15; 95% CI, 2.65-6.50; P < .001). The presence of a patient advance directive or do not resuscitate (DNR) order was associated with reduced odds of significant learned helplessness (OR, 0.56; 95% CI, 0.32-0.98; P = .05). Conclusions: The majority of family members of patients in the ICU experience significant learned helplessness. Risk factors for learned helplessness include lower educational levels, absence of an advance directive or DNR order, and higher stress levels among family members. Significant learned helplessness in family members may have negative implications in the collaborative decision-making process. PMID:22661454

Impact of learning adaptability and time management disposition on study engagement among Chinese baccalaureate nursing students.

PubMed

Liu, Jing-Ying; Liu, Yan-Hui; Yang, Ji-Peng

2014-01-01

The aim of this study was to explore the relationships among study engagement, learning adaptability, and time management disposition in a sample of Chinese baccalaureate nursing students. A convenient sample of 467 baccalaureate nursing students was surveyed in two universities in Tianjin, China. Students completed a questionnaire that included their demographic information, Chinese Utrecht Work Engagement Scale-Student Questionnaire, Learning Adaptability Scale, and Adolescence Time Management Disposition Scale. One-way analysis of variance tests were used to assess the relationship between certain characteristics of baccalaureate nursing students. Pearson correlation was performed to test the correlation among study engagement, learning adaptability, and time management disposition. Hierarchical linear regression analyses were performed to explore the mediating role of time management disposition. The results revealed that study engagement (F = 7.20, P < .01) and learning adaptability (F = 4.41, P < .01) differed across grade groups. Learning adaptability (r = 0.382, P < .01) and time management disposition (r = 0.741, P < .01) were positively related with study engagement. Time management disposition had a partially mediating effect on the relationship between study engagement and learning adaptability. The findings implicate that educators should not only promote interventions to increase engagement of baccalaureate nursing students but also focus on development, investment in adaptability, and time management. Copyright © 2014 Elsevier Inc. All rights reserved.

Modeling change in learning strategies throughout higher education: a multi-indicator latent growth perspective.

PubMed

Coertjens, Liesje; Donche, Vincent; De Maeyer, Sven; Vanthournout, Gert; Van Petegem, Peter

2013-01-01

The change in learning strategies during higher education is an important topic of research in the Student Approaches to Learning field. Although the studies on this topic are increasingly longitudinal, analyses have continued to rely primarily on traditional statistical methods. The present research is innovative in the way it uses a multi-indicator latent growth analysis in order to more accurately estimate the general and differential development in learning strategy scales. Moreover, the predictive strength of the latent growth models are estimated. The sample consists of one cohort of Flemish University College students, 245 of whom participated in the three measurement waves by filling out the processing and regulation strategies scales of the Inventory of Learning Styles--Short Versions. Independent-samples t-tests revealed that the longitudinal group is a non-random subset of students starting University College. For each scale, a multi-indicator latent growth model is estimated using Mplus 6.1. Results suggest that, on average, during higher education, students persisting in their studies in a non-delayed manner seem to shift towards high-quality learning and away from undirected and surface-oriented learning. Moreover, students from the longitudinal group are found to vary in their initial levels, while, unexpectedly, not in their change over time. Although the growth models fit the data well, significant residual variances in the latent factors remain.

Modeling Change in Learning Strategies throughout Higher Education: A Multi-Indicator Latent Growth Perspective

PubMed Central

Coertjens, Liesje; Donche, Vincent; De Maeyer, Sven; Vanthournout, Gert; Van Petegem, Peter

2013-01-01

The change in learning strategies during higher education is an important topic of research in the Student Approaches to Learning field. Although the studies on this topic are increasingly longitudinal, analyses have continued to rely primarily on traditional statistical methods. The present research is innovative in the way it uses a multi-indicator latent growth analysis in order to more accurately estimate the general and differential development in learning strategy scales. Moreover, the predictive strength of the latent growth models are estimated. The sample consists of one cohort of Flemish University College students, 245 of whom participated in the three measurement waves by filling out the processing and regulation strategies scales of the Inventory of Learning Styles – Short Versions. Independent-samples t-tests revealed that the longitudinal group is a non-random subset of students starting University College. For each scale, a multi-indicator latent growth model is estimated using Mplus 6.1. Results suggest that, on average, during higher education, students persisting in their studies in a non-delayed manner seem to shift towards high-quality learning and away from undirected and surface-oriented learning. Moreover, students from the longitudinal group are found to vary in their initial levels, while, unexpectedly, not in their change over time. Although the growth models fit the data well, significant residual variances in the latent factors remain. PMID:23844112

Informal interprofessional learning: visualizing the clinical workplace.

PubMed

Wagter, Judith Martine; van de Bunt, Gerhard; Honing, Marina; Eckenhausen, Marina; Scherpbier, Albert

2012-05-01

Daily collaboration of senior doctors, residents and nurses involves a major potential for sharing knowledge between professionals. Therefore, more attention needs to be paid to informal learning to create strategies and appropriate conditions for enhancing and effectuating informal learning in the workplace. The aim of this study is to visualize and describe patterns of informal interprofessional learning relations among staff in complex care. Questionnaires with four network questions - recognized as indicators of informal learning in the clinical workplace - were handed out to intensive and medium care unit (ICU/MCU) staff members (N = 108), of which 77% were completed and returned. Data were analyzed using social network analysis and Mokken scale analysis. Densities, tie strength and reciprocity of the four networks created show MCU and ICU nurses as subgroups within the ward and reveal central but relatively one-sided relations of senior doctors with nurses and residents. Based on the analyses, we formulated a scale of intensity of informal learning relations that can be used to understand and stimulate informal interprofessional learning.

Blended learning pedagogy designed for communication module among undergraduate nursing students: A quasi-experimental study.

PubMed

Shorey, Shefaly; Kowitlawakul, Yanika; Devi, M Kamala; Chen, Hui-Chen; Soong, Swee Kit Alan; Ang, Emily

2018-02-01

Effective communication is important for nurse and patient outcomes. Nursing students often feel unprepared to communicate effectively with patients and other healthcare workers within the clinical environment. Blended learning pedagogy-based communication skills training can provide an alternative to traditional methods of teaching to enhance students' satisfaction and self-efficacy levels in communicating with others. To examine the effectiveness of blended learning pedagogy in a redesigned communication module among nursing undergraduates in enhancing their satisfaction levels and attitudes towards learning communication module as well as self-efficacy in communication. A single group pre-test and post-test quasi-experimental design was adopted. Data were collected from August 2016 to November 2016 from 124 nursing undergraduates from a leading nursing school. Blended learning pedagogy was adopted to redesign a communication module that offered a wide array of learning opportunities via face-to-face classroom and online sessions. Validated and reliable instruments were used to measure satisfaction levels with blended learning pedagogy, attitudes towards learning communication, and communication self-efficacy. Descriptive and inferential statistics were used to analyze the data. Participants had enhanced satisfaction levels with blended learning pedagogy, better attitudes in learning communication skills, and improved communication self-efficacies at posttest (week 13 of the semester) when compared with their pre-test scores (week one of the semester). Participants scored higher in the Blended Learning Satisfaction Scale, the Communication Skills Attitude Scale, and the communication skills subscale of the Nursing Students Self-Efficacy Scale. Blended learning pedagogy can be effectively used in facilitating communication modules and enhancing student outcomes among nursing undergraduates. The long-term effectiveness of using blended learning pedagogy in facilitating communication modules should be evaluated from students' and patients' perspectives. Additionally, the technology should be constantly improved by incorporating more interactive functions and should be tested to accommodate the learners' needs. Copyright © 2017 Elsevier Ltd. All rights reserved.

Blended learning in ethics education: a survey of nursing students.

PubMed

Hsu, Li-Ling

2011-05-01

Nurses are experiencing new ethical issues as a result of global developments and changes in health care. With health care becoming increasingly sophisticated, and countries facing challenges of graying population, ethical issues involved in health care are bound to expand in quantity and in depth. Blended learning rather as a combination of multiple delivery media designed to promote meaningful learning. Specifically, this study was focused on two questions: (1) the students' satisfaction and attitudes as members of a scenario-based learning process in a blended learning environment; (2) the relationship between students' satisfaction ratings of nursing ethics course and their attitudes in the blended learning environment. In total, 99 senior undergraduate nursing students currently studying at a public nursing college in Taiwan were invited to participate in this study. A cross-sectional survey design was adopted in this study. The participants were asked to fill out two Likert-scale questionnaire surveys: CAAS (Case Analysis Attitude Scale), and BLSS (Blended Learning Satisfaction Scale). The results showed what students felt about their blended learning experiences - mostly items ranged from 3.27-3.76 (the highest score is 5). Another self-assessment of scenario analysis instrument revealed the mean scores ranged from 2.87-4.19. Nearly 57.8% of the participants rated the course 'extremely helpful' or 'very helpful.' This study showed statistically significant correlations (r=0.43) between students' satisfaction with blended learning and case analysis attitudes. In addition, results testified to a potential of the blended learning model proposed in this study to bridge the gap between students and instructors and the one between students and their peers, which are typical of blended learning, and to create meaningful learning by employing blended pedagogical consideration in the course design. The use of scenario instruction enables students to develop critical analysis and problem solving skills through active learning and social exchange of ideas. © The Author(s) 2011

Motivation Matters? The Relationship among Different Types of Learning Motivation, Engagement Behaviors and Learning Outcomes of Undergraduate Students in Taiwan

ERIC Educational Resources Information Center

Hsieh, Tzu-Ling

2014-01-01

The purpose of this study is to understand predictors of different learning outcomes among various student background characteristics, types of learning motivation and engagement behaviors. 178 junior students were surveyed at a 4-year research university in Taiwan. The scales of motivation, engagement and perceived learning outcomes were adapted…

The effect of multiple intelligence-based learning towards students’ concept mastery and interest in learning matter

NASA Astrophysics Data System (ADS)

Pratiwi, W. N.; Rochintaniawati, D.; Agustin, R. R.

2018-05-01

This research was focused on investigating the effect of multiple intelligence -based learning as a learning approach towards students’ concept mastery and interest in learning matter. The one-group pre-test - post-test design was used in this research towards a sample which was according to the suitable situation of the research sample, n = 13 students of the 7th grade in a private school in Bandar Seri Begawan. The students’ concept mastery was measured using achievement test and given at the pre-test and post-test, meanwhile the students’ interest level was measured using a Likert Scale for interest. Based on the analysis of the data, the result shows that the normalized gain was .61, which was considered as a medium improvement. in other words, students’ concept mastery in matter increased after being taught using multiple intelligence-based learning. The Likert scale of interest shows that most students have a high interest in learning matter after being taught by multiple intelligence-based learning. Therefore, it is concluded that multiple intelligence – based learning helped in improving students’ concept mastery and gain students’ interest in learning matter.

Adapting the Mullen Scales of Early Learning for a Standardized Measure of Development in Children with Rett Syndrome

ERIC Educational Resources Information Center

Clarkson, Tessa; LeBlanc, Jocelyn; DeGregorio, Geneva; Vogel-Farley, Vanessa; Barnes, Katherine; Kaufmann, Walter E.; Nelson, Charles A.

2017-01-01

Rett Syndrome (RTT) is characterized by severe impairment in fine motor (FM) and expressive language (EL) function, making accurate evaluations of development difficult with standardized assessments. In this study, the administration and scoring of the Mullen Scales of Early Learning (MSEL) were adapted to eliminate the confounding effects of FM…

Voices from the Field: Implementing and Scaling-Up Universal Design for Learning in Teacher Preparation Programs

ERIC Educational Resources Information Center

Moore, Eric J.; Smith, Frances G.; Hollingshead, Aleksandra; Wojcik, Brian

2018-01-01

There is increasing pressure on universities in the United States to meet the needs of diverse learners. This fact increases the urgency for implementation and scaling up of Universal Design for Learning (UDL) in higher education. This qualitative study draws two major insights from interviews with six faculty members from universities and…

Evidences of Validity of a Scale for Mapping Professional as Defining Competences and Performance by Brazilian Tutors

ERIC Educational Resources Information Center

Coelho, Francisco Antonio, Jr.; Ferreira, Rodrigo Rezende; Paschoal, Tatiane; Faiad, Cristiane; Meneses, Paulo Murce

2015-01-01

The purpose of this study was twofold: to assess evidences of construct validity of the Brazilian Scale of Tutors Competences in the field of Open and Distance Learning and to examine if variables such as professional experience, perception of the student´s learning performance and prior experience influence the development of technical and…

Plans for Embedding ICTs into Teaching and Learning through a Large-Scale Secondary Education Reform in the Country of Georgia

ERIC Educational Resources Information Center

Richardson, Jayson W.; Sales, Gregory; Sentocnik, Sonja

2015-01-01

Integrating ICTs into international development projects is common. However, focusing on how ICTs support leading, teaching, and learning is often overlooked. This article describes a team's approach to technology integration into the design of a large-scale, five year, teacher and leader professional development project in the country of Georgia.…

A Study on Developing Learning Strategies in Violin Education

ERIC Educational Resources Information Center

Afacan, Senol; Cilden, Seyda

2018-01-01

This study was conducted for the purpose of developing a valid and reliable learning strategies scale for students receiving violin education in Departments of Music at Fine Arts High Schools. The scale was applied to 391 violin students receiving education in the 11th and 12th grades in Departments of Music at Fine Arts High Schools in the…

Self-Report Measures of the Home Learning Environment in Large Scale Research: Measurement Properties and Associations with Key Developmental Outcomes

ERIC Educational Resources Information Center

Niklas, Frank; Nguyen, Cuc; Cloney, Daniel S.; Tayler, Collette; Adams, Raymond

2016-01-01

Favourable home learning environments (HLEs) support children's literacy, numeracy and social development. In large-scale research, HLE is typically measured by self-report survey, but there is little consistency between studies and many different items and latent constructs are observed. Little is known about the stability of these items and…

Validation Study of the Scale for "Assessment of the Teaching-Learning Process", Student Version (ATLP-S)

ERIC Educational Resources Information Center

de la Fuente, Jesus; Sander, Paul; Justicia, Fernando; Pichardo, M. Carmen; Garcia-Berben, Ana B.

2010-01-01

Introduction: The main goal of this study is to evaluate the psychometric and assessment features of the Scale for the "Assessment of the Teaching-Learning Process, Student Version" (ATLP-S), for both practical and theoretical reasons. From an applied point of view, this self-report measurement instrument has been designed to encourage…

A Generalizable Framework for Multi-Scale Auditing of Digital Learning Provision in Higher Education

ERIC Educational Resources Information Center

Ross, Samuel R. P-J.; Volz, Veronica; Lancaster, Matthew K.; Divan, Aysha

2018-01-01

It is increasingly important that higher education institutions be able to audit and evaluate the scope and efficacy of their digital learning resources across various scales. To date there has been little effort to address this need for a validated, appropriate, and simple-to-execute method that will facilitate such an audit, whether it be at the…

The Factor Structure of Preschool Learning Behaviors Scale Scores in Peruvian Children

ERIC Educational Resources Information Center

Hahn, Kathryn R.; Schaefer, Barbara A.; Merino, Cesar; Worrell, Frank C.

2009-01-01

The factor structure of the Escala de Conductas de Aprendizaje Preescolar (ECAP), a Spanish translation of the Preschool Learning Behaviors Scale (PLBS), was examined in this study. Children aged 2 to 6 years (N = 328) enrolled in public and private preschools in the Republic of Peru were rated by classroom teachers on the frequency of observable,…

Developing Transactional Distance Scale and Examining Transactional Distance Perception of Blended Learning Students in Terms of Different Variables

ERIC Educational Resources Information Center

Horzum, Mehmet Baris

2011-01-01

The first purpose of this study was to develop valid and reliable a scale which measure the transactional distance. Besides, the second purpose of the study was to investigate whether the transactional distance perception differed according to gender, utilized component and number of logins to system, and also blended learning was useful. The…

Learning to Teach for Social Justice-Beliefs Scale: An Application of Rasch Measurement Principles

ERIC Educational Resources Information Center

Ludlow, Larry H.; Enterline, Sarah E.; Cochran-Smith, Marilyn

2008-01-01

The authors illustrate how a Rasch model can guide the development of a new affective measurement instrument--the Learning to Teach for Social Justice--Beliefs scale. The results provide strong evidence of a meaningful continuum of attitudes about teaching for social justice ranging from those easier to endorse to those more difficult to endorse.…

Long-Term Stability of Scores on the Wechsler Intelligence Scale for Children-Fourth Edition in Children with Learning Disabilities

ERIC Educational Resources Information Center

Lander, Jenny

2010-01-01

The present investigation explored the stability of scores on the Wechsler Intelligence Scale for Children-IV (WISC-IV) over approximately a three-year period. Previous research has suggested that some children with Learning Disabilities (LD) do not demonstrate long-term stability of intelligence. Legally, school districts are no longer required…

Effects of Scaled-Up Professional Development Courses about Inquiry-Based Learning on Teachers

ERIC Educational Resources Information Center

Maass, Katja; Engeln, Katrin

2018-01-01

Although well researched in educational studies, inquiry-based learning, a student-centred way of teaching, is far away from being implemented in day-to-day science and mathematics teaching on a large scale. It is a challenge for teachers to adopt this new way of teaching in an often not supportive school context. Therefore it is important to…

Vision and academic performance of learning disabled children.

PubMed

Wharry, R E; Kirkpatrick, S W

1986-02-01

The purpose of this study was to assess difference in academic performance among myopic, hyperopic, and emmetropic children who were learning disabled. More specifically, myopic children were expected to perform better on mathematical and spatial tasks than would hyperopic ones and that hyperopic and emmetropic children would perform better on verbal measures than would myopic ones. For 439 learning disabled students visual anomalies were determined via a Generated Retinal Reflex Image Screening System. Test data were obtained from school files. Partial support for the hypothesis was obtained. Myopic learning disabled children outperformed hyperopic and emmetropic children on the Key Math test. Myopic children scored better than hyperopic children on the WRAT Reading subtest and on the Durrell Analysis of Reading Difficulty Oral Reading Comprehension, Oral Rate, Flashword, and Spelling subtests, and on the Key Math Measurement and Total Scores. Severity of refractive error significantly affected the Wechsler Intelligence Scale for Children--Revised Full Scale, Performance Scale, Verbal Scale, and Digit Span scores but did not affect any academic test scores. Several other findings were also reported. Those with nonametropic problems scored higher than those without problems on the Key Math Time subtest. Implications supportive of the theories of Benbow and Benbow and Geschwind and Behan were stated.

Practical considerations for transitioning early childhood interventions to scale: lessons from the Saving Brains portfolio.

PubMed

Radner, James M; Ferrer, Marvin J S; McMahon, Dominique; Shankar, Anuraj H; Silver, Karlee L

2018-05-01

Small pilot studies of young children have frequently shown promise, but very few have been successfully scaled to the regional or national levels. How can we ensure that these promising approaches move from a suite of pilots to full-scale implementation that can deliver sustainable impact for hundreds of millions of children? To elucidate concrete lessons learned and suggestions on accelerating the transition to impact at scale, we reviewed the Saving Brains portfolio to better understand three points: (1) the extent to which useful signals of impact could be extracted from data at the seed phase, (2) the ways in which innovators (project leaders) were approaching human resource challenges critical for scaling, and (3) the multisector diversity of the portfolio and the way innovators entered partnerships. The findings suggest key considerations for transitioning early childhood development interventions to scale and sustainability: strong entrepreneurial leadership, rigorous measurement and active use of data in support of adaptive learning, and champions acting at subnational levels. Together, these can enable flexible, iterative learning that can make the scaling process an opportunity to increase the level of benefit each child receives from an intervention. © 2018 The Authors. Annals of the New York Academy of Sciences published by Wiley Periodicals, Inc. on behalf of The New York Academy of Sciences.

Evaluating students' perception of their clinical placements - testing the clinical learning environment and supervision and nurse teacher scale (CLES + T scale) in Germany.

PubMed

Bergjan, Manuela; Hertel, Frank

2013-11-01

Clinical nursing education in Germany has not received attention in nursing science and practice for a long time, as it often seems to be a more or less "formalized appendix" of nursing education. Several development projects of clinical education taking place are mainly focused on the qualification of clinical preceptors. However, the clinical context and its influence on learning processes have still not been sufficiently investigated. The aim of this study was the testing of a German version of the clinical learning environment and supervision and nurse teacher scale (CLES + T scale). The sample of the pilot study consists of first-, second- and third-year student nurses (n=240) of a university nursing school from January to March 2011. Psychometric testing of the instrument is carried out by selected methods of classical testing theories using SPPS 19. The results show transferability of all subcategories of the CLES + T scale in the non-academic nursing education system of a university hospital in Germany, without the teacher scale. The strongest factor is "supervisory relationship". The German version of the CLES + T scale may help to evaluate and compare traditional and new models in clinical nursing education. Copyright © 2012 Elsevier Ltd. All rights reserved.

Large-scale coupling dynamics of instructed reversal learning.

PubMed

Mohr, Holger; Wolfensteller, Uta; Ruge, Hannes

2018-02-15

The ability to rapidly learn from others by instruction is an important characteristic of human cognition. A recent study found that the rapid transfer from initial instructions to fluid behavior is supported by changes of functional connectivity between and within several large-scale brain networks, and particularly by the coupling of the dorsal attention network (DAN) with the cingulo-opercular network (CON). In the present study, we extended this approach to investigate how these brain networks interact when stimulus-response mappings are altered by novel instructions. We hypothesized that residual stimulus-response associations from initial practice might negatively impact the ability to implement novel instructions. Using functional imaging and large-scale connectivity analysis, we found that functional coupling between the CON and DAN was generally at a higher level during initial than reversal learning. Examining the learning-related connectivity dynamics between the CON and DAN in more detail by means of multivariate patterns analyses, we identified a specific subset of connections which showed a particularly high increase in connectivity during initial learning compared to reversal learning. This finding suggests that the CON-DAN connections can be separated into two functionally dissociable yet spatially intertwined subsystems supporting different aspects of short-term task automatization. Copyright © 2017 Elsevier Inc. All rights reserved.

Comparing three experiential learning methods and their effect on medical students' attitudes to learning communication skills.

PubMed

Koponen, Jonna; Pyörälä, Eeva; Isotalus, Pekka

2012-01-01

Despite numerous studies exploring medical students' attitudes to communication skills learning (CSL), there are apparently no studies comparing different experiential learning methods and their influence on students' attitudes. We compared medical students' attitudes to learning communication skills before and after a communication course in the data as a whole, by gender and when divided into three groups using different methods. Second-year medical students (n = 129) were randomly assigned to three groups. In group A (n = 42) the theatre in education method, in group B (n = 44) simulated patients and in group C (n = 43) role-play were used. The data were gathered before and after the course using Communication Skills Attitude Scale. Students' positive attitudes to learning communication skills (PAS; positive attitude scale) increased significantly and their negative attitudes (NAS; negative attitude scale) decreased significantly between the beginning and end of the course. Female students had more positive attitudes than the male students. There were no significant differences in the three groups in the mean scores for PAS or NAS measured before or after the course. The use of experiential methods and integrating communication skills training with visits to health centres may help medical students to appreciate the importance of CSL.

Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines

PubMed Central

Zhang, Kai; Lan, Liang; Kwok, James T.; Vucetic, Slobodan; Parvin, Bahram

2014-01-01

When the amount of labeled data are limited, semi-supervised learning can improve the learner's performance by also using the often easily available unlabeled data. In particular, a popular approach requires the learned function to be smooth on the underlying data manifold. By approximating this manifold as a weighted graph, such graph-based techniques can often achieve state-of-the-art performance. However, their high time and space complexities make them less attractive on large data sets. In this paper, we propose to scale up graph-based semisupervised learning using a set of sparse prototypes derived from the data. These prototypes serve as a small set of data representatives, which can be used to approximate the graph-based regularizer and to control model complexity. Consequently, both training and testing become much more efficient. Moreover, when the Gaussian kernel is used to define the graph affinity, a simple and principled method to select the prototypes can be obtained. Experiments on a number of real-world data sets demonstrate encouraging performance and scaling properties of the proposed approach. It also compares favorably with models learned via ℓ1-regularization at the same level of model sparsity. These results demonstrate the efficacy of the proposed approach in producing highly parsimonious and accurate models for semisupervised learning. PMID:25720002

Impact of SCALE-UP on science teaching self-efficacy of students in general education science courses

NASA Astrophysics Data System (ADS)

Cassani, Mary Kay Kuhr

The objective of this study was to evaluate the effect of two pedagogical models used in general education science on non-majors' science teaching self-efficacy. Science teaching self-efficacy can be influenced by inquiry and cooperative learning, through cognitive mechanisms described by Bandura (1997). The Student Centered Activities for Large Enrollment Undergraduate Programs (SCALE-UP) model of inquiry and cooperative learning incorporates cooperative learning and inquiry-guided learning in large enrollment combined lecture-laboratory classes (Oliver-Hoyo & Beichner, 2004). SCALE-UP was adopted by a small but rapidly growing public university in the southeastern United States in three undergraduate, general education science courses for non-science majors in the Fall 2006 and Spring 2007 semesters. Students in these courses were compared with students in three other general education science courses for non-science majors taught with the standard teaching model at the host university. The standard model combines lecture and laboratory in the same course, with smaller enrollments and utilizes cooperative learning. Science teaching self-efficacy was measured using the Science Teaching Efficacy Belief Instrument - B (STEBI-B; Bleicher, 2004). A science teaching self-efficacy score was computed from the Personal Science Teaching Efficacy (PTSE) factor of the instrument. Using non-parametric statistics, no significant difference was found between teaching models, between genders, within models, among instructors, or among courses. The number of previous science courses was significantly correlated with PTSE score. Student responses to open-ended questions indicated that students felt the larger enrollment in the SCALE-UP room reduced individual teacher attention but that the large round SCALE-UP tables promoted group interaction. Students responded positively to cooperative and hands-on activities, and would encourage inclusion of more such activities in all of the courses. The large enrollment SCALE-UP model as implemented at the host university did not increase science teaching self-efficacy of non-science majors, as hypothesized. This was likely due to limited modification of standard cooperative activities according to the inquiry-guided SCALE-UP model. It was also found that larger SCALE-UP enrollments did not decrease science teaching self-efficacy when standard cooperative activities were used in the larger class.

ACTIVIS: Visual Exploration of Industry-Scale Deep Neural Network Models.

PubMed

Kahng, Minsuk; Andrews, Pierre Y; Kalro, Aditya; Polo Chau, Duen Horng

2017-08-30

While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these models remains a challenge. Despite the recent interest in developing visual tools to help users interpret deep learning models, the complexity and wide variety of models deployed in industry, and the large-scale datasets that they used, pose unique design challenges that are inadequately addressed by existing work. Through participatory design sessions with over 15 researchers and engineers at Facebook, we have developed, deployed, and iteratively improved ACTIVIS, an interactive visualization system for interpreting large-scale deep learning models and results. By tightly integrating multiple coordinated views, such as a computation graph overview of the model architecture, and a neuron activation view for pattern discovery and comparison, users can explore complex deep neural network models at both the instance- and subset-level. ACTIVIS has been deployed on Facebook's machine learning platform. We present case studies with Facebook researchers and engineers, and usage scenarios of how ACTIVIS may work with different models.

Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images

NASA Astrophysics Data System (ADS)

Yang, Guang; Ye, Xujiong; Slabaugh, Greg; Keegan, Jennifer; Mohiaddin, Raad; Firmin, David

2016-03-01

In this paper, we propose a novel self-learning based single-image super-resolution (SR) method, which is coupled with dual-tree complex wavelet transform (DTCWT) based denoising to better recover high-resolution (HR) medical images. Unlike previous methods, this self-learning based SR approach enables us to reconstruct HR medical images from a single low-resolution (LR) image without extra training on HR image datasets in advance. The relationships between the given image and its scaled down versions are modeled using support vector regression with sparse coding and dictionary learning, without explicitly assuming reoccurrence or self-similarity across image scales. In addition, we perform DTCWT based denoising to initialize the HR images at each scale instead of simple bicubic interpolation. We evaluate our method on a variety of medical images. Both quantitative and qualitative results show that the proposed approach outperforms bicubic interpolation and state-of-the-art single-image SR methods while effectively removing noise.

A Large-Scale Multi-Hop Localization Algorithm Based on Regularized Extreme Learning for Wireless Networks.

PubMed

Zheng, Wei; Yan, Xiaoyong; Zhao, Wei; Qian, Chengshan

2017-12-20

A novel large-scale multi-hop localization algorithm based on regularized extreme learning is proposed in this paper. The large-scale multi-hop localization problem is formulated as a learning problem. Unlike other similar localization algorithms, the proposed algorithm overcomes the shortcoming of the traditional algorithms which are only applicable to an isotropic network, therefore has a strong adaptability to the complex deployment environment. The proposed algorithm is composed of three stages: data acquisition, modeling and location estimation. In data acquisition stage, the training information between nodes of the given network is collected. In modeling stage, the model among the hop-counts and the physical distances between nodes is constructed using regularized extreme learning. In location estimation stage, each node finds its specific location in a distributed manner. Theoretical analysis and several experiments show that the proposed algorithm can adapt to the different topological environments with low computational cost. Furthermore, high accuracy can be achieved by this method without setting complex parameters.

Growing up and Growing out: Emerging Adults Learn Management through Service-Learning

ERIC Educational Resources Information Center

Fairfield, Kent D.

2010-01-01

This article describes a journey introducing service-learning based on large-scale projects in an undergraduate management curriculum, leading to supplementing this approach with more conventional small-group projects. It outlines some of the foundation for service-learning. Having students undertake a single class-wide project offers distinctive…

Strengthening Integrated Learning: Towards a New Era for Pluriliteracies and Intercultural Learning

ERIC Educational Resources Information Center

Coyle, Do

2015-01-01

The expansion of Content and Language Integrated Learning (CLIL) on a global scale has brought to the fore challenges of how alternative, more holistic approaches to learning might transform classrooms into language-rich transcultural environments. Integrated approaches can offer learners opportunities to engage in meaning-making and language…

Validation of a Spanish Version of the Distance Education Learning Environments Survey (DELES) in Spain

ERIC Educational Resources Information Center

Fernández-Pascual, Maria Dolores; Ferrer-Cascales, Rosario; Reig-Ferrer, Abilio; Albaladejo-Blázquez, Natalia; Walker, Scott L.

2015-01-01

The aim of this study was to examine the validity of the Spanish version of the Distance Education Learning Environments Survey (Sp-DELES). This instrument assesses students' perceptions of virtual learning environments using six scales: Instructor Support, Student Interaction and Collaboration, Personal Relevance, Authentic Learning, Active…

Multiple Intelligence and Digital Learning Awareness of Prospective B.Ed Teachers

ERIC Educational Resources Information Center

Gracious, F. L. Antony; Shyla, F. L. Jasmine Anne

2012-01-01

The present study Multiple Intelligence and Digital Learning Awareness of prospective B.Ed teachers was probed to find the relationship between Multiple Intelligence and Digital Learning Awareness of Prospective B.Ed Teachers. Data for the study were collected using self made Multiple Intelligence Inventory and Digital Learning Awareness Scale.…

Learning Novel Musical Pitch via Distributional Learning

ERIC Educational Resources Information Center

Ong, Jia Hoong; Burnham, Denis; Stevens, Catherine J.

2017-01-01

Because different musical scales use different sets of intervals and, hence, different musical pitches, how do music listeners learn those that are in their native musical system? One possibility is that musical pitches are acquired in the same way as phonemes, that is, via distributional learning, in which learners infer knowledge from the…

Vocabulary Learning through an Online Computerized Flashcard Site

ERIC Educational Resources Information Center

McLean, Stuart; Hogg, Nicholas; Rush, Thomas W.

2013-01-01

Recent research has shown that paired-associate learning is an effective way to acquire second language vocabulary. However, much research in the field has measured small-scale vocabulary learning. This is due to the methods which learners used to conduct paired-associate learning: paper flash cards. This project sought to measure vocabulary…

Connectivist Learning Objects and Learning Styles

ERIC Educational Resources Information Center

del Moral, M. Esther; Cernea, Ana; Villalustre, Lourdes

2013-01-01

The Web 2.0 brought in the use of social tools at a large scale in every area: a transformation which led to redefining the teaching-learning process. In this new context knowledge is distributed over network connections in an uncontrolled way - thus learning consists of recognizing relevant information patterns and constructing new connections.…

Strategies for Impact: Enabling E-Learning Project Initiatives

ERIC Educational Resources Information Center

Csete, Josephine; Evans, Jennifer

2013-01-01

Purpose: The paper aims to focus on institutional initiatives to embed e-learning in a university in Hong Kong, from 2006-12, through large-scale funding of 43 e-learning projects. It outlines the guiding principles behind the university's e-learning development and discusses the significance of various procedures and practices in project…

Online Learning Experiences of New versus Continuing Learners: A Large-Scale Replication Study

ERIC Educational Resources Information Center

Li, Nai; Marsh, Vicky; Rienties, Bart; Whitelock, Denise

2017-01-01

A vast body of research has indicated the importance of distinguishing new vs. continuing students' learning experiences in blended and online environments. Continuing learners may have developed learning and coping mechanisms for "surviving" in such learning environments, while new learners might still need to adjust their learning…

On the Quality Assessment of Advanced E-Learning Services

ERIC Educational Resources Information Center

Stefani, Antonia; Vassiliadis, Bill; Xenos, Michalis

2006-01-01

Distance learning has been widely researched the past few years, nevertheless the focus has been more on its technological dimension. Designing, developing and supporting a large scale e-learning application for Higher Education is still a challenging task in many ways. E-learning is data-intensive, user-driven, and has increasing needs for…

Scaling Up and Zooming In: Big Data and Personalization in Language Learning

ERIC Educational Resources Information Center

Godwin-Jones, Robert

2017-01-01

From its earliest days, practitioners of computer-assisted language learning (CALL) have collected data from computer-mediated learning environments. Indeed, that has been a central aspect of the field from the beginning. Usage logs provided valuable insights into how systems were used and how effective they were for language learning. That…

Mining Learning Behavioral Patterns of Students by Sequence Analysis in Cloud Classroom

ERIC Educational Resources Information Center

Liu, Sanya; Hu, Zhenfan; Peng, Xian; Liu, Zhi; Cheng, H. N. H.; Sun, Jianwen

2017-01-01

In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised…

The Social-Interaction Learning Styles of Irish Adult Learners: Some Empirical Findings.

ERIC Educational Resources Information Center

O Fathaigh, Mairtin

An action research project was conducted to understand the learning style profile of Irish adult learners better and to integrate the findings into development seminars for adult education teachers and tutors. The Grasha-Riechmann Student Learning Styles Scale (GRSLSS) was chosen as the research instrument to explore Irish adults' learning styles…

Investigating Learning through Work: The Development of the "Provider Learning Environment Scale"

ERIC Educational Resources Information Center

Chappell, Clive; Hawke, Geof

2008-01-01

The purpose of this research activity was to investigate contemporary understandings of the connections between learning and work. This initial work was then used to inform the development of an organisational tool that registered training organisations (RTOs) could use to identify organisational practices likely to lead to greater learning at…

Incorporating Learning Theory into Existing Systems Engineering Models

DTIC Science & Technology

2013-09-01

3. Social  Cognition 22 Table 1. Classification of learning theories Behaviorism Cognitivism Constructivism Connectivism...Introdution to design of large scale systems. New York: Mcgraw-Hill. Grusec. J. (1992). Social learning theory and development psychology: The... LEARNING THEORY INTO EXISTING SYSTEMS ENGINEERING MODELS by Valentine Leo September 2013 Thesis Advisor: Gary O. Langford Co-Advisor

Initial Development of the Meaningful Learning with Technology Scale (MeLTS) for High-School Students

ERIC Educational Resources Information Center

Lee, Chwee Beng

2018-01-01

With the rapid developments in emerging technologies and the emphasis on technologies in learning environments, the connection between technologies and meaningful learning has strengthened. Developing an understanding of the components of meaningful learning with technology is pivotal, as this may enable educators to make more informed decisions…

Constrained Deep Weak Supervision for Histopathology Image Segmentation.

PubMed

Jia, Zhipeng; Huang, Xingyi; Chang, Eric I-Chao; Xu, Yan

2017-11-01

In this paper, we develop a new weakly supervised learning algorithm to learn to segment cancerous regions in histopathology images. This paper is under a multiple instance learning (MIL) framework with a new formulation, deep weak supervision (DWS); we also propose an effective way to introduce constraints to our neural networks to assist the learning process. The contributions of our algorithm are threefold: 1) we build an end-to-end learning system that segments cancerous regions with fully convolutional networks (FCNs) in which image-to-image weakly-supervised learning is performed; 2) we develop a DWS formulation to exploit multi-scale learning under weak supervision within FCNs; and 3) constraints about positive instances are introduced in our approach to effectively explore additional weakly supervised information that is easy to obtain and enjoy a significant boost to the learning process. The proposed algorithm, abbreviated as DWS-MIL, is easy to implement and can be trained efficiently. Our system demonstrates the state-of-the-art results on large-scale histopathology image data sets and can be applied to various applications in medical imaging beyond histopathology images, such as MRI, CT, and ultrasound images.

A fast learning method for large scale and multi-class samples of SVM

NASA Astrophysics Data System (ADS)

Fan, Yu; Guo, Huiming

2017-06-01

A multi-class classification SVM(Support Vector Machine) fast learning method based on binary tree is presented to solve its low learning efficiency when SVM processing large scale multi-class samples. This paper adopts bottom-up method to set up binary tree hierarchy structure, according to achieved hierarchy structure, sub-classifier learns from corresponding samples of each node. During the learning, several class clusters are generated after the first clustering of the training samples. Firstly, central points are extracted from those class clusters which just have one type of samples. For those which have two types of samples, cluster numbers of their positive and negative samples are set respectively according to their mixture degree, secondary clustering undertaken afterwards, after which, central points are extracted from achieved sub-class clusters. By learning from the reduced samples formed by the integration of extracted central points above, sub-classifiers are obtained. Simulation experiment shows that, this fast learning method, which is based on multi-level clustering, can guarantee higher classification accuracy, greatly reduce sample numbers and effectively improve learning efficiency.

Test-retest reliability of the Clinical Learning Environment, Supervision and Nurse Teacher (CLES + T) scale.

PubMed

Gustafsson, Margareta; Blomberg, Karin; Holmefur, Marie

2015-07-01

The Clinical Learning Environment, Supervision and Nurse Teacher (CLES + T) scale evaluates the student nurses' perception of the learning environment and supervision within the clinical placement. It has never been tested in a replication study. The aim of the present study was to evaluate the test-retest reliability of the CLES + T scale. The CLES + T scale was administered twice to a group of 42 student nurses, with a one-week interval. Test-retest reliability was determined by calculations of Intraclass Correlation Coefficients (ICCs) and weighted Kappa coefficients. Standard Error of Measurements (SEM) and Smallest Detectable Difference (SDD) determined the precision of individual scores. Bland-Altman plots were created for analyses of systematic differences between the test occasions. The results of the study showed that the stability over time was good to excellent (ICC 0.88-0.96) in the sub-dimensions "Supervisory relationship", "Pedagogical atmosphere on the ward" and "Role of the nurse teacher". Measurements of "Premises of nursing on the ward" and "Leadership style of the manager" had lower but still acceptable stability (ICC 0.70-0.75). No systematic differences occurred between the test occasions. This study supports the usefulness of the CLES + T scale as a reliable measure of the student nurses' perception of the learning environment within the clinical placement at a hospital. Copyright © 2015 Elsevier Ltd. All rights reserved.

Psychometric Testing of the Greek Version of the Clinical Learning Environment-Teacher (CLES+T).

PubMed

Papastavrou, Evridiki; Dimitriadou, Maria; Tsangari, Haritini

2015-09-01

Clinical practice is an important part of nursing education, and robust instruments are required to evaluate the effectiveness of the hospital setting as a learning environment. The study aim is the psychometric test of the Clinical Learning Environment+Teacher (CLES+T) scale-Greek version. 463 students practicing in acute care hospitals participated in the study. The reliability of the instrument was estimated with Cronbach's alpha coefficients. The construct validity was evaluated using exploratory factor analysis (EFA) with Varimax rotation. Convergent validity was examined by measuring the bivariate correlations between the scale/subscales. Content, validity and semantic equivalence were examined through reviews by a panel of experts. The total scale showed high internal consistency (α=0.95). EFA was identical to the original scale, had eigen values larger than one and explained a total of 67.4% of the variance. The factor with the highest eigen value and the largest percentage of variance explained was "supervisory relationship", with an original eigenvalue of 13.1 (6.8 after Varimax rotation) and an explanation of around 38% of the variance (or 20% after rotation). Convergent validity was examined by measuring the bivariate correlations between the scale and a question that measured the general satisfaction. The Greek version of the CLES+T is a valid and reliable instrument that can be used to examine students' perceptions of the clinical learning environment.

Measuring Student Effort and Engagement in an Introductory Physics Course

NASA Astrophysics Data System (ADS)

Bonham, Scott

2007-11-01

Multiple scales reflecting student effort were developed using factor and scale analysis on data from an introductory physics course. This data included interactions with an on-line homework system. One of the scales displays many characteristics of a metric of the individual level of engagement in the course. This scale is shown to be a good predictor of performance on class exams and the Force Concept Inventory (FCI). Furthermore, normalized learning gains on the FCI are well predicted by this scale while pre-instructional FCI scores provide no additional predictive ability, agreeing with observations by Richard Hake. This scale also correlates strongly with epistemological beliefs that learning is related to effort and is the responsibility of the student. The factors that enter into this scale, writing and mastering expert-like problem-solving, are consistent with this being a measure of individual levels of class engagement.

The role of the teacher in identifying learning disabilities: a study using the McCarney Learning Disability Evaluation Scale (LDES).

PubMed

Souroulla, Andry Vrachimi; Panayiotou, Georgia; Kokkinos, Constantinos M

2009-01-01

The purpose of the study was to examine whether the Greek translation of the Learning Disability Evaluation Scale (LDES) can be used in the identification of learning disabilities. The LDES was completed by 165 teachers for one of their students, aged 5 to 14 years. The LDES was significantly correlated to students' grades in Math and Greek Language and to the Reading Ability Test. Scores on LDES from the above randomly selected sample were significantly different from scores on LDES for another sample of 47 students, who were manifesting learning disabilities, indicating that the LDES can distinguish between the two samples. The exploratory factor analysis revealed that the LDES maintains the original factor structure and the reliability values supported its internal consistency. Results and limitations are discussed.

Effects of cooperative learning strategy on undergraduate kinesiology students' learning styles.

PubMed

Meeuwsen, Harry J; King, George A; Pederson, Rockie

2005-10-01

A growing body of research supports cooperative learning as an effective teaching strategy. A specific cooperative learning strategy, Team-based Learning, was applied to a convenience sample of four undergraduate sophomore-level motor behavior courses over four semesters from Fall 2002 to Spring 2004 to examine whether this strategy would affect students' learning styles. The data from the Grasha-Reichmann Student Learning Style Scales indicated that this teaching strategy was associated with a significant decrease in the negative Avoidant and Dependent learning styles and an improvement in the positive Participant learning style.

The relationship of the Reynolds Intellectual Assessment Scales and the Wechsler Adult Intelligence Scale-Third Edition.

PubMed

Smith, Billy L; McChristian, Chrystal L; Smith, Teresa D; Meaux, Julie

2009-08-01

The purpose of this study was to compare scores on the Reynolds Intellectual Assessment Scales (RIAS) with scores on the Wechsler Adult Intelligence Scale-Third Edition (WAIS-III) in a group of college students diagnosed with a Learning Disability, Attention-Deficit Hyperactivity Disorder (ADHD), or a combination of the two. The RIAS Composite Index score was significantly higher than the WAIS-III Full Scale IQ, although scores on both tests were in the average range. Correlations between the two tests were significant on all measures. Male students were significantly higher than female students on both the RIAS Composite Index and on the WAIS-III Full Scale IQ. Although the ADHD group was higher on IQ than the Learning Disabled and combined disorder groups on all IQ measures, no significant differences were found.

Effect of Type of Curriculum on Educational Outcomes and Motivation among Marketing Students with Different Learning Styles

ERIC Educational Resources Information Center

Ackerman, David S.; Hu, Jing

2011-01-01

Using an active learning approach to motivate students to learn has been advocated by many educators. It has been an ongoing discussion on whether marketing educators should customize their teaching activities based on the learning styles found in their classes recently. This study uses a scale of learning styles that includes a measure of the…

Towards Gathering Initial Requirements of Developing a Mobile Service to Support Informal Learning at Cultural Heritage Sites

ERIC Educational Resources Information Center

Alkhafaji, Alaa; Fallahkhair, Sanaz; Cocea, Mihaela

2015-01-01

Informal learning allows learners to be in charge of their own learning process instead of being a content consumer. Harnessing mobile technology in informal learning field could help learners in taking a learning opportunity whenever they need either individually or in a group. This paper presents a small-scale study to investigate how people may…

A prospective cohort study examining the preferred learning styles of acute care registered nurses.

PubMed

McCrow, Judy; Yevchak, Andrea; Lewis, Peter

2014-03-01

This paper reports on the preferred learning styles of Registered Nurses practicing in acute care environments and relationships between gender, age, post-graduate experience and the identified preferred learning styles. A prospective cohort study design was used. Participants completed a demographic questionnaire and the Felder-Silverman Index of Learning Styles (ILS) questionnaire to determine preferred learning styles. Most of the Registered Nurse participants were balanced across the Active-Reflective (n = 77, 54%), and Sequential-Global (n = 96, 68%) scales. Across the other scales, sensing (n = 97, 68%) and visual (n = 76, 53%) were the most common preferred learning style. There were only a small proportion who had a preferred learning style of reflective (n = 21, 15%), intuitive (n = 5, 4%), verbal (n = 11, 8%) or global learning (n = 15, 11%). Results indicated that gender, age and years since undergraduate education were not related to the identified preferred learning styles. The identification of Registered Nurses' learning style provides information that nurse educators and others can use to make informed choices about modification, development and strengthening of professional hospital-based educational programs. The use of the Index of Learning Styles questionnaire and its ability to identify 'balanced' learning style preferences may potentially yield additional preferred learning style information for other health-related disciplines. Copyright © 2013 Elsevier Ltd. All rights reserved.

Distributional Properties of the PIRLS-Home Resource for Learning Scale and Observed Effects on Reading Achievement: Are Measurements of Educational Inequalities by Latent Indices without Bias?

ERIC Educational Resources Information Center

Walzebug, Anke; Kasper, Daniel

2018-01-01

In "Progress in International Reading Literacy Study" (PIRLS) educational inequalities are measured, amongst others, through the relationship between students' reading achievements and the home resource for learning (HRL) scale. By applying the partial credit model and using the WLE estimates for the person parameters it is accepted that…

Using the Minnesota Multiphasic Personality Inventory-2 to Develop a Scale to Identify Test Anxiety among Students with Learning Disabilities

ERIC Educational Resources Information Center

Lufi, Dubi; Awwad, Abeer

2013-01-01

The purpose of this article was to describe an initial step developing a new scale to identify individuals with learning disabilities (LD) and test anxiety. Eighty-eight students answered the "Minnesota Multiphasic Personality Inventory-2" (MMPI-2). The participants were drawn from the following three groups: (a) adults with LD and test…

Using Web Maps to Analyze the Construction of Global Scale Cognitive Maps

ERIC Educational Resources Information Center

Pingel, Thomas J.

2018-01-01

Game-based Web sites and applications are changing the ways in which students learn the world map. In this study, a Web map-based digital learning tool was used as a study aid for a university-level geography course in order to examine the way in which global scale cognitive maps are constructed. A network analysis revealed that clicks were…

Prediction of Autism at 3 Years from Behavioural and Developmental Measures in High-Risk Infants: A Longitudinal Cross-Domain Classifier Analysis

ERIC Educational Resources Information Center

Bussu, G.; Jones, E. J. H.; Charman, T.; Johnson, M. H.; Buitelaar, J. K.; Baron-Cohen, S.; Bedford, R.; Bolton, P.; Blasi, A.; Chandler, S.; Cheung, C.; Davies, K.; Elsabbagh, M.; Fernandes, J.; Gammer, I.; Garwood, H.; Gliga, T.; Guiraud, J.; Hudry, K.; Liew, M.; Lloyd-Fox, S.; Maris, H.; O'Hara, L.; Pasco, G.; Pickles, A.; Ribeiro, H.; Salomone, E.; Tucker, L.; Volein, A.

2018-01-01

We integrated multiple behavioural and developmental measures from multiple time-points using machine learning to improve early prediction of individual Autism Spectrum Disorder (ASD) outcome. We examined Mullen Scales of Early Learning, Vineland Adaptive Behavior Scales, and early ASD symptoms between 8 and 36 months in high-risk siblings (HR; n…

The Study of Adopting Problem Based Learning in Normal Scale Class Course Design

ERIC Educational Resources Information Center

Hsu, Chia-ling

2014-01-01

This study adopts the Problem Based Learning (PBL) for pre-service teachers in teacher education program. The reasons to adopt PBL are the class scale is not a small class, the contents are too many to teach, and the technologies are ready to be used in classroom. This study used an intermediary, movie, for scenario to student to define the…

Developing a Scale for Strategies Used during the Practice and Learning of Instrumental Music

ERIC Educational Resources Information Center

Uygun, Mehtap Aydiner; Kilinçer, Özlem

2017-01-01

The purpose of this study is to develop a valid and reliable scale to identify the strategies students who study instrumental music use during the practice and learning of instrumental music based on their own responses. The study group comprised of 358 students studying music education in five universities in the academic year of 2015 to 2016.…

The Development of an Instrument to Measure the Project Competences of College Students in Online Project-Based Learning

ERIC Educational Resources Information Center

Lin, Chien-Liang

2018-01-01

This study sought to develop a self-report instrument to be used in the assessment of the project competences of college students engaged in online project-based learning. Three scales of the KIPSSE instrument developed for this study, namely, the knowledge integration, project skills, and self-efficacy scales, were based on related theories and…

The Psychometric Assessment of Children with Learning Disabilities: An Index Derived from a Principal Components Analysis of the WISC-R.

ERIC Educational Resources Information Center

Lawson, J. S.; Inglis, James

1984-01-01

A learning disability index (LDI) for the assessment of intellectual deficits on the Wechsler Intelligence Scale for Children-Revised (WISC-R) is described. The Factor II score coefficients derived from an unrotated principal components analysis of the WISC-R normative data, in combination with the individual's scaled scores, are used for this…

An Operational Definition of Learning Disabilities (Cognitive Domain) Using WISC Full Scale IQ and Peabody Individual Achievement Test Scores.

ERIC Educational Resources Information Center

Brenton, Beatrice White; Gilmore, Doug

An operational index of discrepancy between ability and achievement using the Wechsler Intelligence Scale for Children and the Peabody Individual Achievement Test (PIAT) was tested with 50 male and 10 female legally identified learning disabled (LD) children (mean age 9 years 2 months). Use of the index identified 74% of the males and 30% of the…

Exploratory factor analysis of the Clinical Learning Environment, Supervision and Nurse Teacher Scale (CLES+T).

PubMed

Watson, Paul Barry; Seaton, Philippa; Sims, Deborah; Jamieson, Isabel; Mountier, Jane; Whittle, Rose; Saarikoski, Mikko

2014-01-01

The Clinical Learning Environment, Supervision and Nurse Teacher (CLES+T) scale measures student nurses' perceptions of clinical learning environments. This study evaluates the construct validity and internal reliability of the CLES+T in hospital settings in New Zealand. Comparisons are made between New Zealand and Finnish data. The CLES+T scale was completed by 416 Bachelor of Nursing students following hospital clinical placements between October 2008 and December 2009. Construct validity and internal reliability were assessed using exploratory factor analysis and Cronbach's alpha. Exploratory factor analysis supports 4 factors. Cronbach's alpha ranged from .82 to .93. All items except 1 loaded on the same factors found in unpublished Finnish data. The first factor combined 2 previous components from the published Finnish component analysis and was renamed: connecting with, and learning in, communities of clinical practice. The remaining 3 factors (Nurse teacher, Supervisory relationship, and Leadership style of the manager) corresponded to previous components and their conceptualizations. The CLES+T has good internal reliability and a consistent factor structure across samples. The consistency across international samples supports faculties and hospitals using the CLES+T to benchmark the quality of clinical learning environments provided to students.

Learning potential and cognitive abilities in preschool boys with fragile X and Down syndrome.

PubMed

Valencia-Naranjo, Nieves; Robles-Bello, Mª Auxiliadora

2017-01-01

Enhancing cognitive abilities is relevant when devising treatment plans. This study examined the performance of preschool boys with Down syndrome and fragile X syndrome in cognitive tasks (e.g., nonverbal reasoning and short-term memory), as well as in improving cognitive functions by means of a learning potential methodology. The basic scales corresponding to the Skills and Learning Potential Preschool Scale were administered to children with Down syndrome and others with fragile X syndrome, matched for chronological age and nonverbal cognitive development level. The fragile X syndrome group showed stronger performance on short-term memory tasks than the Down syndrome group prior to intervention, with no differences recorded in nonverbal reasoning tasks. In addition, both groups' cognitive performance improved significantly between pre- and post-intervention. However, learning potential relative to auditory memory was limited in both groups, and for rule-based categorization in Down syndrome children. The scale offered the opportunity to assess young children's abilities and identify the degree of cognitive modifiability. Furthermore, factors that may potentially affect the children's performance before and during learning potential assessment are discussed. Copyright © 2016 Elsevier Ltd. All rights reserved.

Large-scale functional models of visual cortex for remote sensing

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

Brumby, Steven P; Kenyon, Garrett; Rasmussen, Craig E

Neuroscience has revealed many properties of neurons and of the functional organization of visual cortex that are believed to be essential to human vision, but are missing in standard artificial neural networks. Equally important may be the sheer scale of visual cortex requiring {approx}1 petaflop of computation. In a year, the retina delivers {approx}1 petapixel to the brain, leading to massively large opportunities for learning at many levels of the cortical system. We describe work at Los Alamos National Laboratory (LANL) to develop large-scale functional models of visual cortex on LANL's Roadrunner petaflop supercomputer. An initial run of a simplemore » region VI code achieved 1.144 petaflops during trials at the IBM facility in Poughkeepsie, NY (June 2008). Here, we present criteria for assessing when a set of learned local representations is 'complete' along with general criteria for assessing computer vision models based on their projected scaling behavior. Finally, we extend one class of biologically-inspired learning models to problems of remote sensing imagery.« less

Effect of Violating Unidimensional Item Response Theory Vertical Scaling Assumptions on Developmental Score Scales

ERIC Educational Resources Information Center

Topczewski, Anna Marie

2013-01-01

Developmental score scales represent the performance of students along a continuum, where as students learn more they move higher along that continuum. Unidimensional item response theory (UIRT) vertical scaling has become a commonly used method to create developmental score scales. Research has shown that UIRT vertical scaling methods can be…

Blogging as a Social Medium in Undergraduate Courses: Sense of Community Best Predictor of Perceived Learning

ERIC Educational Resources Information Center

Top, Ercan

2012-01-01

The purpose of the study was to examine pre-service teachers' sense of community, perception of collaborative learning, and perceived learning. Fifty pre-service teachers from two undergraduate ICT courses which incorporated blogs participated in this study. The data were obtained via three online questionnaires (Collaborative Learning scale,…

Development an Instrument to Measure University Students' Attitude towards E-Learning

ERIC Educational Resources Information Center

Mehra, Vandana; Omidian, Faranak

2012-01-01

The study of student's attitude towards e-learning can in many ways help managers better prepare in light of e-learning for the future. This article describes the process of the development of an instrument to measure university students' attitude towards e-learning. The scale was administered to 200 University students from two countries (India…

Experiencing Teaching and Learning Quantitative Reasoning in a Project-Based Context

ERIC Educational Resources Information Center

Muir, Tracey; Beswick, Kim; Callingham, Rosemary; Jade, Katara

2016-01-01

This paper presents the findings of a small-scale study that investigated the issues and challenges of teaching and learning about quantitative reasoning (QR) within a project-based learning (PjBL) context. Students and teachers were surveyed and interviewed about their experiences of learning and teaching QR in that context in contrast to…

Online Learning Self-Efficacy in Students with and without Online Learning Experience

ERIC Educational Resources Information Center

Zimmerman, Whitney Alicia; Kulikowich, Jonna M.

2016-01-01

A need was identified for an instrument to measure online learning self-efficacy, which encompassed the wide variety of tasks required of successful online students. The Online Learning Self-Efficacy Scale (OLSES) was designed to include tasks required of students enrolled in paced online courses at one university. In the present study, the…

Learning Objects and the E-Learning Cost Dilemma

ERIC Educational Resources Information Center

Weller, Martin

2004-01-01

The creation of quality e-learning material creates a cost dilemma for many institutions, since it has both high variable and high fixed costs. This cost dilemma means that economies of scale are difficult to achieve, which may result in a consequent reduction in the quality of the learning material. Based on the experience of creating a masters…

Embracing Big Data in Complex Educational Systems: The Learning Analytics Imperative and the Policy Challenge

ERIC Educational Resources Information Center

Macfadyen, Leah P.; Dawson, Shane; Pardo, Abelardo; Gaševic, Dragan

2014-01-01

In the new era of big educational data, learning analytics (LA) offer the possibility of implementing real-time assessment and feedback systems and processes at scale that are focused on improvement of learning, development of self-regulated learning skills, and student success. However, to realize this promise, the necessary shifts in the…

Weblogs for English Language Learning: Students' Perceptions

ERIC Educational Resources Information Center

Wan, Juida; Tan, Bee Hoon

2011-01-01

The digital explosion of information on the Internet has resulted in a need for a new and up-to-date way for Digital Natives to learn English. Educators have reported numerous benefits of using weblogs in English language learning. This article presents a small scale study on the use of weblogs for English language learning at tertiary level in…

Digital "Learning Trails": Scaling Technology-Facilitated Curricular Innovation in Schools with a "Rhizomatic" Lens

ERIC Educational Resources Information Center

Jamaludin, Azilawati; Hung, David Wei Loong

2016-01-01

Technological advances in the form of ubiquitous computing has altered the learning landscape today. Contemporary modes of learning afford curricular innovations in schools. While learning journeys of decades ago entailed field trips to places of interest such as museums and zoos where students completed tasks or worksheets after each trip, the…

Parents' and Adolescents' Attitudes about Parental Involvement in Clinical Research.

PubMed

Rosenthal, Susan L; de Roche, Ariel M; Catallozzi, Marina; Breitkopf, Carmen Radecki; Ipp, Lisa S; Chang, Jane; Francis, Jenny K R; Hu, Mei-Chen

2016-08-01

To understand parent and adolescent attitudes toward parental involvement during clinical trials and factors related to those attitudes. As part of a study on willingness to participate in a hypothetical microbicide study, adolescents and their parents were interviewed separately. Adolescent medicine clinics in New York City. There were 301 dyads of adolescents (ages 14-17 years; 62% female; 72% Hispanic) and their parents. None. The interview included questions on demographic characteristics, sexual history, and family environment (subscales of the Family Environment Scale) that were associated with attitudes about parental involvement. Factor analysis of the parental involvement scale yielded 2 factors: LEARN, reflecting gaining knowledge about study test results and behaviors (4 items) and PROCEDURE, reflecting enrollment and permissions (4 items). Adolescents endorsed significantly fewer items on the LEARN scale and the PROCEDURE scale indicating that adolescents believed in less parental involvement. There was no significant concordance between adolescents and their own parents on the LEARN scale and the PROCEDURE scale. In final multivariate models predicting attitudes, adolescents who were female and had sexual contact beyond kissing, and non-Hispanic parents had lower LEARN scores. Adolescents who were older, had previous research experience, and reported less moral or religious emphasis in their family had lower PROCEDURE scores; there were no significant predictors for parents in the multivariate analyses. Parents wanted greater involvement in the research process than adolescents. Recruitment and retention might be enhanced by managing these differing expectations. Copyright © 2016 North American Society for Pediatric and Adolescent Gynecology. Published by Elsevier Inc. All rights reserved.

Assessing team effectiveness and affective learning in a datathon.

PubMed

Piza, Felipe Maia de Toledo; Celi, Leo Anthony; Deliberato, Rodrigo Octavio; Bulgarelli, Lucas; de Carvalho, Fabricio Rodrigues Torres; Filho, Roberto Rabello; de La Hoz, Miguel Angel Armengol; Kesselheim, Jennifer Cohn

2018-04-01

Datathons are increasingly organized in the healthcare field. The goal is to assemble people with different backgrounds to work together as a team and engage in clinically relevant research or develop algorithms using health-related datasets. Criteria to assess the return of investment on such events have traditionally included publications produced, patents for prediction, classification, image recognition and other types of software, and start-up companies around the application of machine learning in healthcare. Previous studies have not evaluated whether a datathon can promote affective learning and effective teamwork. Fifty participants of a health datathon event in São Paulo, Brazil at Hospital Israelita Albert Einstein (HIAE) were divided into 8 groups. A survey with 25 questions, using the Affective Learning Scale and Team-Review Questionnaire, was administered to assess team effectiveness and affective learning during the event. Multivariate regression models and Pearson's correlation tests were performed to evaluate the effect of affective learning on teamwork. Majority of the participants were male 76% (37/49); 32% (16/49) were physicians. The mean score for learning (scale from 1 to 10) was 8.38, while that for relevance of the perceived teamwork was 1.20 (scale from 1 to 5; "1" means most relevant). Pearson's correlation between the learning score and perception of teamwork showed moderate association (r = 0.36, p = 0.009). Five learning and 10 teamwork variables were on average positively graded in the event. The final regression model includes all learning and teamwork variables. Effective leadership was strongly correlated with affective learning (β = -0.27, p < 0.01, R 2  = 75%). Effective leadership, team accomplishment, criticism, individual development and creativity were the variables significantly associated with higher levels of affective learning. It is feasible to enhance affective knowledge and the skill to work in a team during a datathon. We found that teamwork is associated with higher affective learning from participants' perspectives. Effective leadership is essential for teamwork and is a significant predictor of learning. Copyright © 2018 Elsevier B.V. All rights reserved.

Time-oriented hierarchical method for computation of principal components using subspace learning algorithm.

PubMed

Jankovic, Marko; Ogawa, Hidemitsu

2004-10-01

Principal Component Analysis (PCA) and Principal Subspace Analysis (PSA) are classic techniques in statistical data analysis, feature extraction and data compression. Given a set of multivariate measurements, PCA and PSA provide a smaller set of "basis vectors" with less redundancy, and a subspace spanned by them, respectively. Artificial neurons and neural networks have been shown to perform PSA and PCA when gradient ascent (descent) learning rules are used, which is related to the constrained maximization (minimization) of statistical objective functions. Due to their low complexity, such algorithms and their implementation in neural networks are potentially useful in cases of tracking slow changes of correlations in the input data or in updating eigenvectors with new samples. In this paper we propose PCA learning algorithm that is fully homogeneous with respect to neurons. The algorithm is obtained by modification of one of the most famous PSA learning algorithms--Subspace Learning Algorithm (SLA). Modification of the algorithm is based on Time-Oriented Hierarchical Method (TOHM). The method uses two distinct time scales. On a faster time scale PSA algorithm is responsible for the "behavior" of all output neurons. On a slower scale, output neurons will compete for fulfillment of their "own interests". On this scale, basis vectors in the principal subspace are rotated toward the principal eigenvectors. At the end of the paper it will be briefly analyzed how (or why) time-oriented hierarchical method can be used for transformation of any of the existing neural network PSA method, into PCA method.

Effect of Integrating Hydrologic Scaling Concepts on Students Learning and Decision Making Experiences

ERIC Educational Resources Information Center

Najm, Majdi R. Abou; Mohtar, Rabi H.; Cherkauer, Keith A.; French, Brian F.

2010-01-01

Proper understanding of scaling and large-scale hydrologic processes is often not explicitly incorporated in the teaching curriculum. This makes it difficult for students to connect the effect of small scale processes and properties (like soil texture and structure, aggregation, shrinkage, and cracking) on large scale hydrologic responses (like…

Science curiosity in learning environments: developing an attitudinal scale for research in schools, homes, museums, and the community

NASA Astrophysics Data System (ADS)

Weible, Jennifer L.; Toomey Zimmerman, Heather

2016-05-01

Although curiosity is considered an integral aspect of science learning, researchers have debated how to define, measure, and support its development in individuals. Prior measures of curiosity include questionnaire type scales (primarily for adults) and behavioral measures. To address the need to measure scientific curiosity, the Science Curiosity in Learning Environments (SCILE) scale was created and validated as a 12-item scale to measure scientific curiosity in youth. The scale was developed through (a) adapting the language of the Curiosity and Exploration Inventory-II [Kashdan, T. B., Gallagher, M. W., Silvia, P. J., Winterstein, B. P., Breen, W. E., Terhar, D., & Steger, M. F. (2009). The curiosity and exploration inventory-II: Development, factor structure, and psychometrics. Journal of Research in Personality, 43(6), 987-998] for youth and (b) crafting new items based on scientific practices drawn from U.S. science standards documents. We administered a preliminary set of 30 items to 663 youth ages 8-18 in the U.S.A. Exploratory and confirmatory factor analysis resulted in a three-factor model: stretching, embracing, and science practices. The findings indicate that the SCILE scale is a valid measure of youth's scientific curiosity for boys and girls as well as elementary, middle school, and high school learners.

Elementary Student Self Efficacy Scale Development and Validation Focused on Student Learning, Peer Relations, and Resisting Drug Use

ERIC Educational Resources Information Center

Fertman, Carl I.; Primack, Brian A.

2009-01-01

The purpose of this study was to investigate the psychometric properties of a child self efficacy scale for learning, peer interactions, and resisting pressure to use drugs, to use in an elementary school drug prevention education program based on social cognitive theory. A diverse cohort of 392 4th and 5th grade students completed the 20-item…

Career Oriented Mathematics, Teacher's Manual. [Includes Scale; Apprenticeship: Learning to be a Cement Mason; Textiles; Being Self-Employed: Harvesting and Sale of Pulpwood; and Lumber Yard Employee.

ERIC Educational Resources Information Center

Mahaffey, Michael L.; McKillip, William D.

This manual is designed for teachers using units in the Career Oriented Mathematics Program titled: (1) Scale, (2) Apprenticeship: Learning to be a Cement Mason, (3) Textiles, (4) Being Self-Employed: Harvesting and Sale of Pulpwood, and (5) Lumber Yard Employee. Lesson plans, masters for dittos and transparencies, and problem solutions are…

Salient object detection based on multi-scale contrast.

PubMed

Wang, Hai; Dai, Lei; Cai, Yingfeng; Sun, Xiaoqiang; Chen, Long

2018-05-01

Due to the development of deep learning networks, a salient object detection based on deep learning networks, which are used to extract the features, has made a great breakthrough compared to the traditional methods. At present, the salient object detection mainly relies on very deep convolutional network, which is used to extract the features. In deep learning networks, an dramatic increase of network depth may cause more training errors instead. In this paper, we use the residual network to increase network depth and to mitigate the errors caused by depth increase simultaneously. Inspired by image simplification, we use color and texture features to obtain simplified image with multiple scales by means of region assimilation on the basis of super-pixels in order to reduce the complexity of images and to improve the accuracy of salient target detection. We refine the feature on pixel level by the multi-scale feature correction method to avoid the feature error when the image is simplified at the above-mentioned region level. The final full connection layer not only integrates features of multi-scale and multi-level but also works as classifier of salient targets. The experimental results show that proposed model achieves better results than other salient object detection models based on original deep learning networks. Copyright © 2018 Elsevier Ltd. All rights reserved.

An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis.

PubMed

Lee, Unseok; Chang, Sungyul; Putra, Gian Anantrio; Kim, Hyoungseok; Kim, Dong Hwan

2018-01-01

A high-throughput plant phenotyping system automatically observes and grows many plant samples. Many plant sample images are acquired by the system to determine the characteristics of the plants (populations). Stable image acquisition and processing is very important to accurately determine the characteristics. However, hardware for acquiring plant images rapidly and stably, while minimizing plant stress, is lacking. Moreover, most software cannot adequately handle large-scale plant imaging. To address these problems, we developed a new, automated, high-throughput plant phenotyping system using simple and robust hardware, and an automated plant-imaging-analysis pipeline consisting of machine-learning-based plant segmentation. Our hardware acquires images reliably and quickly and minimizes plant stress. Furthermore, the images are processed automatically. In particular, large-scale plant-image datasets can be segmented precisely using a classifier developed using a superpixel-based machine-learning algorithm (Random Forest), and variations in plant parameters (such as area) over time can be assessed using the segmented images. We performed comparative evaluations to identify an appropriate learning algorithm for our proposed system, and tested three robust learning algorithms. We developed not only an automatic analysis pipeline but also a convenient means of plant-growth analysis that provides a learning data interface and visualization of plant growth trends. Thus, our system allows end-users such as plant biologists to analyze plant growth via large-scale plant image data easily.

Clinical learning environment and supervision plus nurse teacher (CLES+T) scale: testing the psychometric characteristics of the Italian version.

PubMed

Tomietto, Marco; Saiani, Luisa; Palese, Alvisa; Cunico, Laura; Cicolini, Giancarlo; Watson, Paul; Saarikoski, Mikko

2012-01-01

A clinical learning environment is an "interactive network of forces within the clinical setting that influence the students' learning outcomes". International research indicates the Clinical Learning Environment and Supervision plus Nurse Teacher scale (CLES+T) as the gold standard to assess a good clinical learning environment. This study aims to evaluate the psychometric proprieties of CLES+T Italian version. 875 students attending the Bachelor in Nursing in 3 Universities in Italy participated in the study. Cronbach's alpha, item to total correlations, skewness and kurtosis were calculated; factor analysis was performed using Principal Axis Factoring and an oblique rotation method. Results showed a Cronbach's alpha of 0.95 of the scale and ranging from 0.80 to 0.96 among factors; all items verified item to total correlation and answers' variability criteria. Factor analysis showed a 7-factors model as explaining more than 67% of the variance, the higher variance was explained by the "pedagogical atmosphere" factor (37.61%). The nurse teacher factor in the Italian model is split into 3 sub-factors: theory-practice integration, cooperation with ward staff and relationship with mentor and student. These results enable an international debate concerning the theoretical structure of CLES+T and provide a reliable and valid tool for the comparison of supervisory models in guiding nursing students' clinical learning.

NeMO-Net & Fluid Lensing: The Neural Multi-Modal Observation & Training Network for Global Coral Reef Assessment Using Fluid Lensing Augmentation of NASA EOS Data

NASA Technical Reports Server (NTRS)

Chirayath, Ved

2018-01-01

We present preliminary results from NASA NeMO-Net, the first neural multi-modal observation and training network for global coral reef assessment. NeMO-Net is an open-source deep convolutional neural network (CNN) and interactive active learning training software in development which will assess the present and past dynamics of coral reef ecosystems. NeMO-Net exploits active learning and data fusion of mm-scale remotely sensed 3D images of coral reefs captured using fluid lensing with the NASA FluidCam instrument, presently the highest-resolution remote sensing benthic imaging technology capable of removing ocean wave distortion, as well as hyperspectral airborne remote sensing data from the ongoing NASA CORAL mission and lower-resolution satellite data to determine coral reef ecosystem makeup globally at unprecedented spatial and temporal scales. Aquatic ecosystems, particularly coral reefs, remain quantitatively misrepresented by low-resolution remote sensing as a result of refractive distortion from ocean waves, optical attenuation, and remoteness. Machine learning classification of coral reefs using FluidCam mm-scale 3D data show that present satellite and airborne remote sensing techniques poorly characterize coral reef percent living cover, morphology type, and species breakdown at the mm, cm, and meter scales. Indeed, current global assessments of coral reef cover and morphology classification based on km-scale satellite data alone can suffer from segmentation errors greater than 40%, capable of change detection only on yearly temporal scales and decameter spatial scales, significantly hindering our understanding of patterns and processes in marine biodiversity at a time when these ecosystems are experiencing unprecedented anthropogenic pressures, ocean acidification, and sea surface temperature rise. NeMO-Net leverages our augmented machine learning algorithm that demonstrates data fusion of regional FluidCam (mm, cm-scale) airborne remote sensing with global low-resolution (m, km-scale) airborne and spaceborne imagery to reduce classification errors up to 80% over regional scales. Such technologies can substantially enhance our ability to assess coral reef ecosystems dynamics.

Preservice elementary teachers learning of astronomy

NASA Astrophysics Data System (ADS)

Fidler, Chuck Gary

The dissertation presents a new approach for the study of preservice elementary teacher astronomy education. The approach suggests that learning astronomical concepts are facilitated by greater sophistication in scale perception and spatial-aptitude. This dissertation is underscored by the national call for elementary science education reform efforts and suggests certain strategies shown more effective for the development of accurate astronomical comprehension. The present research study describes how preservice elementary teachers conceptualize and communicate ideas about Space. Instead of assuming a universal mental conception of cosmic orientations and relationships, the dissertation claims that the perception of Space related dimensions vary among preservice elementary teachers. Furthermore, the dissertation suggests individual perceptions of the scale sizes and orientations of celestial systems have direct influences on mental models used to organize and communicate astronomical information. The development of inaccurate mental models of the scaled dimensions of Space may perpetuate the teacher-student cycle of misconception and naive-theory generation among children in elementary education settings. The ability to conceptualize the vast cosmos is facilitated by the minds ability to think about vast scales and orientations of celestial objects. The Earth-based perspective of astronomy education compels the learner to think about astronomical principles within imaginary frames of reference and across unfamiliar scaled dimensions. Therefore, mental astronomical model building is underscored by the perception of scale and cosmic spatiality. This study suggests these cognitive skill sets are interconnected and facilitate the learning of accurate astronomy principles; as well as play an important role when designing an astronomy education program for preservice elementary teachers. This research study is comprised of three separate standalone articles designed and formatted for journal submission. Chapter 1 outlines the intent, rationale, and design of the overall dissertation process and format. Chapter 2 describes an in-depth review of the specific astronomy curricula used for comparison by subsequent chapters and is not intended as a standalone article, but rather as an informative outline of events and activities to help the reader understand the differences of instruction between the two sections of sample populations. Chapter 3 uses qualitative interviews to explore the cosmic dimensions associated with learning of astronomy and finds diverse perceptions of astronomical scales may influence preservice teachers' mental organization of astronomical information. Chapter 4 further analyzes cosmic dimensions using quantitative analyses and specifically examines preservice teachers perceptions of scale and spatiality within the context of astronomy education. Findings from Chapter 4 show that perceptions of scale and spatiality are an interconnected set of learning skills which may greatly enhance the learning of astronomy. Chapter 5 describes how concepts of scale and spatiality may be operationalized within a secondary school science classroom in order to better understand the scaled distances of stars though an inquiry-based three-dimensional modeling activity. Chapter 6 briefly concludes the dissertation work. Due to the nature of this dissertation design, the conclusions chapter is quite succinct as previous chapters are designed with conclusions sections embedded within the body of the text as outlined by specific journal submission guidelines. These dissertation ideas are presented in a formal setting so that the various research undertakings can be studied and analyzed. Qualitative and quantitative analyses of research data are present to support the claims made in this study. The results of this research combine with features of previous research in order to advance our understanding of how preservice elementary teachers think about and learn astronomy.

Exploring the opinions of registered nurses working in a clinical transfusion environment on the contribution of e-learning to personal learning and clinical practice: results of a small scale educational research study.

PubMed

Cottrell, Susan; Donaldson, Jayne H

2013-05-01

To explore the opinions of registered nurses on the Learnbloodtransfusion Module 1: Safe Transfusion Practice e-learning programme to meeting personal learning styles and learning needs. A qualitative research methodology was applied based on the principles of phenomenology. Adopting a convenience sampling plan supported the recruitment of participants who had successfully completed the e-learning course. Thematic analysis from the semi-structured interviews identified common emerging themes through application of Colaizzis framework. Seven participants of total sample population (89) volunteered to participate in the study. Five themes emerged which included learning preferences, interactive learning, course design, patient safety and future learning needs. Findings positively show the e-learning programme captures the learning styles and needs of learners. In particular, learning styles of a reflector, theorist and activist as well as a visual learner can actively engage in the online learning experience. In an attempt to bridge the knowledge practice gap, further opinions are offered on the course design and the application of knowledge to practice following completion of the course. The findings of the small scale research study have shown that the e-learning course does meet the diverse learning styles and needs of nurses working in a clinical transfusion environment. However, technology alone is not sufficient and a blended approach to learning must be adopted to meet bridging the theory practice gap supporting the integration of knowledge to clinical practice. Copyright © 2013 Elsevier Ltd. All rights reserved.

The TREEhouse: A Hybrid Model for Experiential Learning in Environmental Education

ERIC Educational Resources Information Center

Corscadden, Kenneth W.; Kevany, Kathleen

2017-01-01

This article addresses the need to integrate experiential learning into environmental and sustainability curriculum and considers the challenges faced by academic institutions in providing relevant experiential learning opportunities at an appropriate scale. Through an experiential case study, this article illustrates how adopting a "hybrid…

Using ELVIS to Measure Experiential Learning in Criminal Justice Internships

ERIC Educational Resources Information Center

Grant, Erin; Dahl, Patricia; Bayens, Gerald

2016-01-01

The purpose of this study is to better understand the relationship between criminal justice internships and knowledge domains. Kolb's four experiential learnings stages of experience, reflection, abstract conceptualization, and active experimentation are assessed using the Experiential Learning Variables and Indicators Scale (ELVIS) to provide a…

Testing the DQP: What Was Learned about Learning Outcomes?

ERIC Educational Resources Information Center

Ickes, Jessica L.; Flowers, Daniel R.

2015-01-01

Through a campuswide project using the Degree Qualifications Profile (DQP) as a comparison tool that engaged students and faculty, the authors share findings and implications about learning outcomes for IR professionals and DQP authors while considering the role of IR in large-scale, campuswide projects.

Agreement among Classroom Observers of Children's Stylistic Learning Behaviors.

ERIC Educational Resources Information Center

Buchanan, Helen Hamlet; McDermott, Paul A.; Schaefer, Barbara A.

1998-01-01

Investigates the interobserver agreement of the Learning Behavior Scale (LBS) by educators (n=16) observing students in special-education classes (n=72). No significant observer effect was found. Moreover, the LBS produced comparable levels of differential learning styles for assessments of individual children. (Author/MKA)

Learning Deep Representations for Ground to Aerial Geolocalization (Open Access)

DTIC Science & Technology

2015-10-15

proposed approach, Where-CNN, is inspired by deep learning success in face verification and achieves significant improvements over tra- ditional hand...crafted features and existing deep features learned from other large-scale databases. We show the ef- fectiveness of Where-CNN in finding matches

Do Junior High School Students Perceive Their Learning Environment as Constructivist?

NASA Astrophysics Data System (ADS)

Moustafa, Asely; Ben-Zvi-Assaraf, Orit; Eshach, Haim

2013-08-01

The purpose of this study is to examine the manner in which the features of a constructivist learning environment, and the mechanisms at its base, are expressed in junior high school students' conceptions. Our research is based on an integration of quantitative and qualitative approaches, deigned to provide a wider ranging and deeper understanding. Eight hundred and forty eighth- and ninth-grade students from over 15 schools participated in the study. Of the 840 students who completed the questionnaire, the explanations of 200 well-written questionnaires were further analyzed qualitatively. The findings of the study are presented in terms of the four scales employed in the CLES, namely the autonomy scale, the prior knowledge scale, the negotiation scale, and the student-centeredness scale. The quantitative results achieved here concur with parallel studies conducted around the world. The findings indicate that a considerable portion of the students perceive their learning environment as a constructivist one and report positive attitudes toward the way they are being taught. In terms of the qualitative results, however, it appears that in some cases, the students' explanations reveal that in fact, and contrary to the bare quantitative results, some students do not perceive their learning environment as being constructivist. This raises the question of whether the fact that students recognize the factors associated with constructivist teaching is indeed an indication that such teaching exists in practice. This finding emphasizes the importance of combining qualitative and quantitative methods for arriving at a balanced view of classroom occurrences.

Feedforward Inhibition and Synaptic Scaling – Two Sides of the Same Coin?

PubMed Central

Lücke, Jörg

2012-01-01

Feedforward inhibition and synaptic scaling are important adaptive processes that control the total input a neuron can receive from its afferents. While often studied in isolation, the two have been reported to co-occur in various brain regions. The functional implications of their interactions remain unclear, however. Based on a probabilistic modeling approach, we show here that fast feedforward inhibition and synaptic scaling interact synergistically during unsupervised learning. In technical terms, we model the input to a neural circuit using a normalized mixture model with Poisson noise. We demonstrate analytically and numerically that, in the presence of lateral inhibition introducing competition between different neurons, Hebbian plasticity and synaptic scaling approximate the optimal maximum likelihood solutions for this model. Our results suggest that, beyond its conventional use as a mechanism to remove undesired pattern variations, input normalization can make typical neural interaction and learning rules optimal on the stimulus subspace defined through feedforward inhibition. Furthermore, learning within this subspace is more efficient in practice, as it helps avoid locally optimal solutions. Our results suggest a close connection between feedforward inhibition and synaptic scaling which may have important functional implications for general cortical processing. PMID:22457610

Substitution of California Verbal Learning Test, second edition for Verbal Paired Associates on the Wechsler Memory Scale, fourth edition.

PubMed

Miller, Justin B; Axelrod, Bradley N; Rapport, Lisa J; Hanks, Robin A; Bashem, Jesse R; Schutte, Christian

2012-01-01

Two common measures used to evaluate verbal learning and memory are the Verbal Paired Associates (VPA) subtest from the Wechsler Memory Scales (WMS) and the second edition of the California Verbal Learning Test (CVLT-II). For the fourth edition of the WMS, scores from the CVLT-II can be substituted for VPA; the present study sought to examine the validity of the substitution. For each substitution, paired-samples t tests were conducted between original VPA scaled scores and scaled scores obtained from the CVLT-II substitution to evaluate comparability. Similar comparisons were made at the index score level. At the index score level, substitution resulted in significantly lower scores for the AMI (p = .03; r = .13) but not for the IMI (p = .29) or DMI (p = .09). For the subtest scores, substituted scaled scores for VPA were not significantly different from original scores for the immediate recall condition (p = .20) but were significantly lower at delayed recall (p = .01). These findings offer partial support for the substitution. For both the immediate and delayed conditions, the substitution produced generally lower subtest scores compared to original VPA subtest scores.

Feedforward inhibition and synaptic scaling--two sides of the same coin?

PubMed

Keck, Christian; Savin, Cristina; Lücke, Jörg

2012-01-01

Feedforward inhibition and synaptic scaling are important adaptive processes that control the total input a neuron can receive from its afferents. While often studied in isolation, the two have been reported to co-occur in various brain regions. The functional implications of their interactions remain unclear, however. Based on a probabilistic modeling approach, we show here that fast feedforward inhibition and synaptic scaling interact synergistically during unsupervised learning. In technical terms, we model the input to a neural circuit using a normalized mixture model with Poisson noise. We demonstrate analytically and numerically that, in the presence of lateral inhibition introducing competition between different neurons, Hebbian plasticity and synaptic scaling approximate the optimal maximum likelihood solutions for this model. Our results suggest that, beyond its conventional use as a mechanism to remove undesired pattern variations, input normalization can make typical neural interaction and learning rules optimal on the stimulus subspace defined through feedforward inhibition. Furthermore, learning within this subspace is more efficient in practice, as it helps avoid locally optimal solutions. Our results suggest a close connection between feedforward inhibition and synaptic scaling which may have important functional implications for general cortical processing.

How OpenLearn Supports a Business Model for OER

ERIC Educational Resources Information Center

Law, Patrina; Perryman, Leigh-Anne

2017-01-01

In 2013, the Open University (OU) in the UK launched a large-scale survey of users of its OpenLearn platform for open educational resources. The survey results revealed that OpenLearn is functioning as a showcase and a taster for the OU, thereby offering informal learners a bridge to formal education. In 2014 and 2015, the OpenLearn survey was…

E-Learning in Supplemental Educational Systems in Taiwan: Present Status and Future Challenges

ERIC Educational Resources Information Center

Zhang, Ke; Hung, Jui-Long

2009-01-01

As Taiwan's full-scale e-learning initiatives moved to the seventh year in 2009, the current status and challenges of e-learning development there are yet to be fully understood. Further extending Zhang and Hung's (2006) investigation on e-learning in all universities and colleges in Taiwan, this study investigated the after-school programs (ASPs)…

Exploring the Challenges in Scaling up the Delivery of Action Learning Facilitator Training within a Global Organisation

ERIC Educational Resources Information Center

Antell, Sonja; Heywood, John

2015-01-01

Action learning is often used as an element of leadership development programmes. The intention is to support classroom learning with an experiential thread which runs throughout the life of the programme. Action Learning Associates (ALA) has been working with an international organisation for three years to deliver the global "First Line…

A mediation analysis of achievement motives, goals, learning strategies, and academic achievement.

PubMed

Diseth, Age; Kobbeltvedt, Therese

2010-12-01

Previous research is inconclusive regarding antecedents and consequences of achievement goals, and there is a need for more research in order to examine the joint effects of different types of motives and learning strategies as predictors of academic achievement. To investigate the relationship between achievement motives, achievement goals, learning strategies (deep, surface, and strategic), and academic achievement in a hierarchical model. Participants were 229 undergraduate students (mean age: 21.2 years) of psychology and economics at the University of Bergen, Norway. Variables were measured by means of items from the Achievement Motives Scale (AMS), the Approaches and Study Skills Inventory for Students, and an achievement goal scale. Correlation analysis showed that academic achievement (examination grade) was positively correlated with performance-approach goal, mastery goal, and strategic learning strategies, and negatively correlated with performance-avoidance goal and surface learning strategy. A path analysis (structural equation model) showed that achievement goals were mediators between achievement motives and learning strategies, and that strategic learning strategies mediated the relationship between achievement goals and academic achievement. This study integrated previous findings from several studies and provided new evidence on the direct and indirect effects of different types of motives and learning strategies as predictors of academic achievement.

Unifying practice schedules in the timescales of motor learning and performance.

PubMed

Verhoeven, F Martijn; Newell, Karl M

2018-06-01

In this article, we elaborate from a multiple time scales model of motor learning to examine the independent and integrated effects of massed and distributed practice schedules within- and between-sessions on the persistent (learning) and transient (warm-up, fatigue) processes of performance change. The timescales framework reveals the influence of practice distribution on four learning-related processes: the persistent processes of learning and forgetting, and the transient processes of warm-up decrement and fatigue. The superposition of the different processes of practice leads to a unified set of effects for massed and distributed practice within- and between-sessions in learning motor tasks. This analysis of the interaction between the duration of the interval of practice trials or sessions and parameters of the introduced time scale model captures the unified influence of the between trial and session scheduling of practice on learning and performance. It provides a starting point for new theoretically based hypotheses, and the scheduling of practice that minimizes the negative effects of warm-up decrement, fatigue and forgetting while exploiting the positive effects of learning and retention. Copyright © 2018 Elsevier B.V. All rights reserved.

Linking Research, Education and Public Engagement in Geoscience: Leadership and Strategic Partnerships

NASA Astrophysics Data System (ADS)

Spellman, K.

2017-12-01

A changing climate has impacted Alaska communities at unprecedented rates, and the need for efficient and effective climate change learning in the Boreal and Arctic regions is urgent. Learning programs that can both increase personal understanding and connection to climate change science and also inform large scale scientific research about climate change are an attractive option for building community adaptive capacity at multiple scales. Citizen science has emerged as a powerful tool for facilitating learning across scales, and for building partnerships across natural sciences research, education, and outreach disciplines. As an early career scientist and interdisciplinary researcher, citizen science has become the centerpiece of my work and has provided some of the most rewarding moments of my career. I will discuss my early career journey building a research and leadership portfolio integrating climate change research, learning research, and public outreach through citizen science. I will share key experiences from graduate student to early career PI that cultivated my leadership skills and ability to build partnerships necessary to create citizen science programs that emphasize synergy between climate change research and education.

Writing objectives and evaluating learning in the affective domain.

PubMed

Maier-Lorentz, M M

1999-01-01

Staff educators recognize the importance of affective competency for effective nursing practice. Inservice programs must include affective learning with objectives stated in measurable terms. Staff educators often express frustration in developing affective objectives and evaluating the learning outcome because attitudes and feelings are usually inferred from observations. This article presents affective learning objectives for a gerontological nursing inservice program and a rating scale that measures attitudes to evaluate the learning outcome.

Chemically intuited, large-scale screening of MOFs by machine learning techniques

NASA Astrophysics Data System (ADS)

Borboudakis, Giorgos; Stergiannakos, Taxiarchis; Frysali, Maria; Klontzas, Emmanuel; Tsamardinos, Ioannis; Froudakis, George E.

2017-10-01

A novel computational methodology for large-scale screening of MOFs is applied to gas storage with the use of machine learning technologies. This approach is a promising trade-off between the accuracy of ab initio methods and the speed of classical approaches, strategically combined with chemical intuition. The results demonstrate that the chemical properties of MOFs are indeed predictable (stochastically, not deterministically) using machine learning methods and automated analysis protocols, with the accuracy of predictions increasing with sample size. Our initial results indicate that this methodology is promising to apply not only to gas storage in MOFs but in many other material science projects.

New Zealand and Queensland Teachers' Conceptions of Learning: Transforming More than Reproducing

ERIC Educational Resources Information Center

Brown, Gavin T. L.; Lake, Robert; Matters, Gabrielle

2008-01-01

Background: Two major conceptions of learning exist: reproducing new material and transforming material to make meaning. Teachers' understandings of what learning is probably influence their teaching practices and student academic performance. Aims: To validate a short scale derived from Tait, Entwistle, & McCune's (1998) ASSIST inventory and…

Integrating the Use of Interdisciplinary Learning Activity Task in Creating Students' Mathematical Knowledge

ERIC Educational Resources Information Center

Mahanin, Hajah Umisuzimah Haji; Shahrill, Masitah; Tan, Abby; Mahadi, Mar Aswandi

2017-01-01

This study investigated the use of interdisciplinary learning activity task to construct students' knowledge in Mathematics, specifically on the topic of scale drawing application. The learning activity task involved more than one academic discipline, which is Mathematics, English Language, Art, Geography and integrating the Brunei Darussalam…

Learning, Tablet, Culture-Coherence?

ERIC Educational Resources Information Center

Norqvist, Lars

2016-01-01

This paper presents understandings of learning in schools where Internet-enabled Information and Communication Technologies (ICTs) are taken for granted. The context is a full-scale 1:1 tablet project in Danish municipality schools where this study bring forward expressions of learning from one class (12-13 year old children) in order to offer…

Knowing English Grammar--An Important Aid in Second Language Learning

ERIC Educational Resources Information Center

Cleary, Colin

2004-01-01

This article discusses a small-scale study that explored students', teachers', and university lecturers' beliefs about the value of studying English grammar in foreign and second language learning. A major debate in second language acquisition literature has been concerned with experiential (implicit) learning as opposed to analytical (explicit)…

Scale of Academic Emotion in Science Education: Development and Validation

ERIC Educational Resources Information Center

Chiang, Wen-Wei; Liu, Chia-Ju

2014-01-01

Contemporary research into science education has generally been conducted from the perspective of "conceptual change" in learning. This study sought to extend previous work by recognizing that human rationality can be influenced by the emotions generated by the learning environment and specific actions related to learning. Methods used…

Problem-Based Teaching and Learning in Technology Education.

ERIC Educational Resources Information Center

Putnam, A. R.

Research on how the brain works has resulted in wider-scale adoption of the principles of problem-based learning (PBL) in many areas of education, including technology education. The PBL approach is attractive to curriculum developers because it is based on interdisciplinary learning, results in multiple outcomes, is integrated and…

The Readiness of Adults with Attention Deficit Hyperactivity Disorder for Self-Directed Learning

ERIC Educational Resources Information Center

Wright, Melissa Sue

2011-01-01

This study investigated the readiness for self-directed learning of adults with Attention Deficit Hyperactivity Disorder (ADHD), as well as their overall educational experiences. Using Guglielmino's Self-Directed Learning Readiness Scale for Adults (SDLRS-A), the researcher investigated whether the following factors were significantly related to…

Developing Resilient Agency in Learning: The Internal Structure of Learning Power

ERIC Educational Resources Information Center

Deakin Crick, Ruth; Huang, Shaofu; Ahmed Shafi, Adeela; Goldspink, Chris

2015-01-01

Understanding students' learning dispositions has been a focus for research in education for many years. A range of alternative approaches to conceptualising and measuring this broad construct have been developed. Traditional psychometric measures aim to produce scales that satisfy the requirements for research; however, such measures have an…

Principals' Learning Mechanisms: Exploring an Emerging Construct

ERIC Educational Resources Information Center

Schechter, Chen; Qadach, Mowafaq

2016-01-01

This exploration of principal learning mechanisms (PLM) to support a learning-centered school aimed to develop, field-test, and validate a PLM-measuring instrument. Following exploratory and confirmatory factor analyses of items to examine factorial validity, the developed scale was correlated with other work-related established constructs (e.g.,…

Career Oriented Mathematics, Student's Manual. [Includes Scale; Apprenticeship: Learning to be a Cement Mason; Textiles; Being Self-Employed: Harvesting and Sale of Pulpwood; and Lumber Yard Employee.

ERIC Educational Resources Information Center

Mahaffey, Michael L.; McKillip, William D.

This volume includes student manuals for five units in the Career Oriented Mathematics Program, which was developed to improve mathematical abilities and attitudes of secondary students by presenting the material in a job-relevant context. The units are titled: (1) Scale, (2) Apprenticeship: Learning to be a Cement Mason, (3) Textiles, (4) Being…

Humans Rapidly Learn Grammatical Structure in a New Musical Scale

PubMed Central

Loui, Psyche; Wessel, David L.; Hudson Kam, Carla L.

2010-01-01

Knowledge of musical rules and structures has been reliably demonstrated in humans of different ages, cultures, and levels of music training, and has been linked to our musical preferences. However, how humans acquire knowledge of and develop preferences for music remains unknown. The present study shows that humans rapidly develop knowledge and preferences when given limited exposure to a new musical system. Using a non-traditional, unfamiliar musical scale (Bohlen-Pierce scale), we created finite-state musical grammars from which we composed sets of melodies. After 25–30 min of passive exposure to the melodies, participants showed extensive learning as characterized by recognition, generalization, and sensitivity to the event frequencies in their given grammar, as well as increased preference for repeated melodies in the new musical system. Results provide evidence that a domain-general statistical learning mechanism may account for much of the human appreciation for music. PMID:20740059

Humans Rapidly Learn Grammatical Structure in a New Musical Scale.

PubMed

Loui, Psyche; Wessel, David L; Hudson Kam, Carla L

2010-06-01

Knowledge of musical rules and structures has been reliably demonstrated in humans of different ages, cultures, and levels of music training, and has been linked to our musical preferences. However, how humans acquire knowledge of and develop preferences for music remains unknown. The present study shows that humans rapidly develop knowledge and preferences when given limited exposure to a new musical system. Using a non-traditional, unfamiliar musical scale (Bohlen-Pierce scale), we created finite-state musical grammars from which we composed sets of melodies. After 25-30 min of passive exposure to the melodies, participants showed extensive learning as characterized by recognition, generalization, and sensitivity to the event frequencies in their given grammar, as well as increased preference for repeated melodies in the new musical system. Results provide evidence that a domain-general statistical learning mechanism may account for much of the human appreciation for music.

Sub-Selective Quantization for Learning Binary Codes in Large-Scale Image Search.

PubMed

Li, Yeqing; Liu, Wei; Huang, Junzhou

2018-06-01

Recently with the explosive growth of visual content on the Internet, large-scale image search has attracted intensive attention. It has been shown that mapping high-dimensional image descriptors to compact binary codes can lead to considerable efficiency gains in both storage and performing similarity computation of images. However, most existing methods still suffer from expensive training devoted to large-scale binary code learning. To address this issue, we propose a sub-selection based matrix manipulation algorithm, which can significantly reduce the computational cost of code learning. As case studies, we apply the sub-selection algorithm to several popular quantization techniques including cases using linear and nonlinear mappings. Crucially, we can justify the resulting sub-selective quantization by proving its theoretic properties. Extensive experiments are carried out on three image benchmarks with up to one million samples, corroborating the efficacy of the sub-selective quantization method in terms of image retrieval.

Integrating concept ontology and multitask learning to achieve more effective classifier training for multilevel image annotation.

PubMed

Fan, Jianping; Gao, Yuli; Luo, Hangzai

2008-03-01

In this paper, we have developed a new scheme for achieving multilevel annotations of large-scale images automatically. To achieve more sufficient representation of various visual properties of the images, both the global visual features and the local visual features are extracted for image content representation. To tackle the problem of huge intraconcept visual diversity, multiple types of kernels are integrated to characterize the diverse visual similarity relationships between the images more precisely, and a multiple kernel learning algorithm is developed for SVM image classifier training. To address the problem of huge interconcept visual similarity, a novel multitask learning algorithm is developed to learn the correlated classifiers for the sibling image concepts under the same parent concept and enhance their discrimination and adaptation power significantly. To tackle the problem of huge intraconcept visual diversity for the image concepts at the higher levels of the concept ontology, a novel hierarchical boosting algorithm is developed to learn their ensemble classifiers hierarchically. In order to assist users on selecting more effective hypotheses for image classifier training, we have developed a novel hyperbolic framework for large-scale image visualization and interactive hypotheses assessment. Our experiments on large-scale image collections have also obtained very positive results.

INTERNATIONAL APPROACH TO LEARNING DISABILITIES OF CHILDREN AND YOUTH, ANNUAL INTERNATIONAL CONFERENCE OF THE ASSOCIATION FOR CHILDREN WITH LEARNING DISABILITIES, INC. (3RD, TULSA, OKLAHOMA, MARCH 3-5, 1966).

ERIC Educational Resources Information Center

MESIROW, LOUISE

SELECTED PRESENTATIONS (27) OF PARTICIPANTS IN THE THIRD INTERNATIONAL CONFERENCE OF THE ASSOCIATION FOR CHILDREN WITH LEARNING DISABILITIES ARE PRESENTED. PAPERS FROM GENERAL SESSIONS DISCUSS THE FOLLOWING TOPICS--LEARNING DISABILITIES, A SCREENING SCALE, DIAGNOSIS AND REMEDIATION, ETIOLOGY, AND READING. OTHER TOPIC AREAS INCLUDE MEDICATION, THE…

Building for the Future by Expatiating the Past: High Drama from the Summit of China's Learning Mountain

ERIC Educational Resources Information Center

Boshier, Roger; Huang, Yan

2006-01-01

As part of a large-scale learning initiative, the Chinese Communist Party has declared Lushan to be a "learning mountain". There have been people learning at Lushan Mountain for 2000 years. In 1959 there was a Central Committee meeting at Lushan, where Mao Zedong purged his widely respected comrade Peng Dehuai for daring to say people…

Implications of Research on Children's Learning for Standards and Assessment: A Proposed Learning Progression for Matter and the Atomic-Molecular Theory

ERIC Educational Resources Information Center

Smith, Carol L.; Wiser, Marianne; Anderson, Charles W.; Krajcik, Joseph

2006-01-01

The purpose of this article is to suggest ways of using research on children's reasoning and learning to elaborate on existing national standards and to improve large-scale and classroom assessments. The authors suggest that "learning progressions"--descriptions of successively more sophisticated ways of reasoning within a content domain based on…

Self-Perception of Readiness to Learn and Self-Efficacy among Nursing Students in an Online Baccalaureate (BSN) Program

ERIC Educational Resources Information Center

Cadet, Myriam Jean

2016-01-01

This study investigated the relationship between readiness to learn and self-efficacy among newly enrolled BSN students in an online program. A sample of 27 students completed the 45-item Test of Online Learning Success (ToOLS) and 10-item General Self Efficacy (GSE) scales via Survey Monkey. Knowles' (1980) adult learning theory and Bandura's…

Psychometric testing on the NLN Student Satisfaction and Self-Confidence in Learning, Simulation Design Scale, and Educational Practices Questionnaire using a sample of pre-licensure novice nurses.

PubMed

Franklin, Ashley E; Burns, Paulette; Lee, Christopher S

2014-10-01

In 2006, the National League for Nursing published three measures related to novice nurses' beliefs about self-confidence, scenario design, and educational practices associated with simulation. Despite the extensive use of these measures, little is known about their reliability and validity. The psychometric properties of the Student Satisfaction and Self-Confidence in Learning Scale, Simulation Design Scale, and Educational Practices Questionnaire were studied among a sample of 2200 surveys completed by novice nurses from a liberal arts university in the southern United States. Psychometric tests included item analysis, confirmatory and exploratory factor analyses in randomly-split subsamples, concordant and discordant validity, and internal consistency. All three measures have sufficient reliability and validity to be used in education research. There is room for improvement in content validity with the Student Satisfaction and Self-Confidence in Learning and Simulation Design Scale. This work provides robust evidence to ensure that judgments made about self-confidence after simulation, simulation design and educational practices are valid and reliable. Copyright © 2014 Elsevier Ltd. All rights reserved.

Dual-modality impairment of implicit learning of letter-strings versus color-patterns in patients with schizophrenia.

PubMed

Chiu, Ming-Jang; Liu, Kristina; Hsieh, Ming H; Hwu, Hai-Gwo

2005-12-12

Implicit learning was reported to be intact in schizophrenia using artificial grammar learning. However, emerging evidence indicates that artificial grammar learning is not a unitary process. The authors used dual coding stimuli and schizophrenia clinical symptom dimensions to re-evaluate the effect of schizophrenia on various components of artificial grammar learning. Letter string and color pattern artificial grammar learning performances were compared between 63 schizophrenic patients and 27 comparison subjects. Four symptom dimensions derived from a Chinese Positive and Negative Symptom Scale ratings were correlated with patients' artificial grammar implicit learning performances along the two stimulus dimensions. Patients' explicit memory performances were assessed by verbal paired associates and visual reproduction subtests of the Wechsler Memory Scales Revised Version to provide a contrast to their implicit memory function. Schizophrenia severely hindered color pattern artificial grammar learning while the disease affected lexical string artificial grammar learning to a lesser degree after correcting the influences from age, education and the performance of explicit memory function of both verbal and visual modalities. Both learning performances correlated significantly with the severity of patients' schizophrenic clinical symptom dimensions that reflect poor abstract thinking, disorganized thinking, and stereotyped thinking. The results of this study suggested that schizophrenia affects various mechanisms of artificial grammar learning differently. Implicit learning, knowledge acquisition in the absence of conscious awareness, is not entirely intact in patients with schizophrenia. Schizophrenia affects implicit learning through an impairment of the ability of making abstractions from rules and at least in part decreasing the capacity for perceptual learning.

When the globe is your classroom: teaching and learning about large-scale environmental change online

NASA Astrophysics Data System (ADS)

Howard, E. A.; Coleman, K. J.; Barford, C. L.; Kucharik, C.; Foley, J. A.

2005-12-01

Understanding environmental problems that cross physical and disciplinary boundaries requires a more holistic view of the world - a "systems" approach. Yet it is a challenge for many learners to start thinking this way, particularly when the problems are large in scale and not easily visible. We will describe our online university course, "Humans and the Changing Biosphere," which takes a whole-systems perspective for teaching regional to global-scale environmental science concepts, including climate, hydrology, ecology, and human demographics. We will share our syllabus and learning objectives and summarize our efforts to incorporate "best" practices for online teaching. We will describe challenges we have faced, and our efforts to reach different learner types. Our goals for this presentation are: (1) to communicate how a systems approach ties together environmental sciences (including climate, hydrology, ecology, biogeochemistry, and demography) that are often taught as separate disciplines; (2) to generate discussion about challenges of teaching large-scale environmental processes; (3) to share our experiences in teaching these topics online; (4) to receive ideas and feedback on future teaching strategies. We will explain why we developed this course online, and share our experiences about benefits and challenges of teaching over the web - including some suggestions about how to use technology to supplement face-to-face learning experiences (and vice versa). We will summarize assessment data about what students learned during the course, and discuss key misconceptions and barriers to learning. We will highlight the role of an online discussion board in creating classroom community, identifying misconceptions, and engaging different types of learners.

The development and validation of the On-the-job Learning Styles Questionnaire for the Nursing Profession.

PubMed

Berings, Marjolein G M C; Poell, Rob F; Simons, P Robert-Jan; van Veldhoven, Marc J P M

2007-06-01

This paper is a report of a study to develop and test the psychometric properties of the On-the-job Learning Style Questionnaire for the Nursing Profession. Although numerous questionnaires measuring learning styles have been developed, none are suitable for working environments. Existing instruments do not meet the requirements for use in workplace settings and tend to ignore the influence of different learning situations. The questionnaire was constructed using a situation-response design, measuring learning activities in different on-the-job learning situations. Content validity was ensured by basing the questionnaire on interview studies. The questionnaire was distributed to 912 Registered Nurses working in different departments of 13 general hospitals in the Netherlands at the end of 2005. The response rate was 41% (372 questionnaires). The internal factor structure of the questionnaire was partly based on the learning activities in which nurses participate and partly on the learning situation in which they are performed. The internal consistency was good. The situation-response design of the questionnaire demonstrated its added value. Construct validity was estimated using intercorrelations between the scales, and criterion validity was estimated based on the relationships of the scales with perceived professional competence. The On-the-job Learning Styles Questionnaire for the Nursing Profession is well suited to describing nurses' learning styles in on-the-job settings and has satisfactory psychometric properties.

Learning Contexts for Young Children in Chile: Process Quality Assessment in Preschool Centres

ERIC Educational Resources Information Center

Herrera, Maria Olivia; Mathiesen, Maria Elena; Merino, Jose Manuel; Recart, Isidora

2005-01-01

ITERS (Infant and Toddler Environment Rating Scale), ECERS (Early Childhood Environment Rating Scale) and SACERS (School Age Care Environment Rating Scale) are used to measure process quality. The psychometric characteristics of the three scales are established, and high reliability and adequate validity are observed. The global quality process…

Adult Chinese as a Second Language Learners' Willingness to Communicate in Chinese: Effects of Cultural, Affective, and Linguistic Variables.

PubMed

Liu, Meihua

2017-06-01

The present research explored the effects of cultural, affective, and linguistic variables on adult Chinese as a second language learners' willingness to communicate in Chinese. One hundred and sixty-two Chinese as a second language learners from a Chinese university answered the Willingness to Communicate in Chinese Scale, the Intercultural Sensitivity Scale, Chinese Speaking Anxiety Scale, Chinese Learning Motivation Scale, Use of Chinese Profile, as well as the Background Questionnaire. The major findings were as follows: (1) the Willingness to Communicate in Chinese Scales were significantly negatively correlated with Chinese Speaking Anxiety Scale but positively correlated with length of stay in China and (2) Chinese Speaking Anxiety Scale was a powerful negative predictor for the overall willingness to communicate in Chinese and the Willingness to Communicate in Chinese Scales, followed by length of stay in China, Chinese Learning Motivation Scale, interaction attentiveness, and Chinese proficiency level. Apparently, students' willingness to communicate in Chinese is largely determined by their Chinese Speaking Anxiety Scale level and length of stay in China, mediated by other variables such as Chinese proficiency level and intercultural communication sensitivity level.

Coevolution of strategy-selection time scale and cooperation in spatial prisoner's dilemma game

NASA Astrophysics Data System (ADS)

Rong, Zhihai; Wu, Zhi-Xi; Chen, Guanrong

2013-06-01

In this paper, we investigate a networked prisoner's dilemma game where individuals' strategy-selection time scale evolves based on their historical learning information. We show that the more times the current strategy of an individual is learnt by his neighbors, the longer time he will stick on the successful behavior by adaptively adjusting the lifetime of the adopted strategy. Through characterizing the extent of success of the individuals with normalized payoffs, we show that properly using the learned information can form a positive feedback mechanism between cooperative behavior and its lifetime, which can boost cooperation on square lattices and scale-free networks.

Concurrent validity of the Learning and Study Strategies Inventory (LASSI): a study of African American precollege students.

PubMed

Flowers, Lamont A; Bridges, Brian K; Moore III, James L

2012-01-01

Concurrent validation procedures were employed, using a sample of African American precollege students, to determine the extent to which scale scores obtained from the first edition of the Learning and Study Strategies Inventory (LASSI) were appropriate for diagnostic purposes. Data analysis revealed that 2 of the 10 LASSI scales (i.e., Anxiety and Test Strategies) significantly correlated with a measure of academic ability. These results suggested that scores obtained from these LASSI scales may provide valid assessments of African American precollege students’ academic aptitude. Implications for teachers, school counselors, and developmental studies professionals were discussed.

Multimodal Discriminative Binary Embedding for Large-Scale Cross-Modal Retrieval.

PubMed

Wang, Di; Gao, Xinbo; Wang, Xiumei; He, Lihuo; Yuan, Bo

2016-10-01

Multimodal hashing, which conducts effective and efficient nearest neighbor search across heterogeneous data on large-scale multimedia databases, has been attracting increasing interest, given the explosive growth of multimedia content on the Internet. Recent multimodal hashing research mainly aims at learning the compact binary codes to preserve semantic information given by labels. The overwhelming majority of these methods are similarity preserving approaches which approximate pairwise similarity matrix with Hamming distances between the to-be-learnt binary hash codes. However, these methods ignore the discriminative property in hash learning process, which results in hash codes from different classes undistinguished, and therefore reduces the accuracy and robustness for the nearest neighbor search. To this end, we present a novel multimodal hashing method, named multimodal discriminative binary embedding (MDBE), which focuses on learning discriminative hash codes. First, the proposed method formulates the hash function learning in terms of classification, where the binary codes generated by the learned hash functions are expected to be discriminative. And then, it exploits the label information to discover the shared structures inside heterogeneous data. Finally, the learned structures are preserved for hash codes to produce similar binary codes in the same class. Hence, the proposed MDBE can preserve both discriminability and similarity for hash codes, and will enhance retrieval accuracy. Thorough experiments on benchmark data sets demonstrate that the proposed method achieves excellent accuracy and competitive computational efficiency compared with the state-of-the-art methods for large-scale cross-modal retrieval task.

What teacher factors influence their attributions for children's difficulties in learning?

PubMed

Brady, Katy; Woolfson, Lisa

2008-12-01

Identifying the factors that influence teacher beliefs about teaching children with learning difficulties is important for the success of inclusive education. This study explores the relationship between teachers' role, self-efficacy, attitudes towards disabled people, teaching experience and training, on teachers' attributions for children's difficulties in learning. One hundred and eighteen primary school teachers (44 general mainstream, 33 mainstream learning support, and 41 special education teachers) completed the short form of the Teachers' Sense of Efficacy Scale, the Interaction with Disabled Persons Scale (IDP), and a revised version of the Teacher Attribution Scale. Regression analysis found that teachers' role influenced stability and controllability attributions. However, for stability attributions the effect was not sustained when examined in the context of the other factors of teaching efficacy, experience, training, and attitudes towards disability. What emerged as important instead was strong feelings of sympathy towards disabled people which predicted stable attributions about learning difficulties. Experience of teaching children with additional support needs and teaching efficacy positively predicted external locus of causality attributions. Surprisingly, training was not found to have an impact on attributions. A mixed MANOVA found that mainstream teachers' controllability attributions were influenced by whether or not the child had identified learning support needs. Teacher efficacy, experience of teaching students with support needs, attitudes towards disabled people, and teachers' role all impact on teacher attributions, but no relationship with training was found. Implications for teacher training and development, and for student achievement and student self-perception are discussed.

Ethical sensitivity in obsessive-compulsive disorder and generalized anxiety disorder: the role of reversal learning.

PubMed

Szabó, Csilla; Németh, Attila; Kéri, Szabolcs

2013-12-01

In obsessive-compulsive disorder (OCD), amplified moral sensitivity may be related to the orbitofrontal-striatal circuit, which is also critical in reversal learning. This study examined three questions: (1) What aspects of ethical sensitivity is altered in OCD?; (2) What is the relationship between ethical sensitivity and reversal learning?; (3) Are potential alterations in ethical sensitivity and reversal learning present in generalized anxiety disorder (GAD)? Participants were 28 outpatients with OCD, 21 individuals with GAD, and 30 matched healthy controls. Participants received the ethical sensitivity scale questionnaire (ESSQ), rating scales for clinical symptoms, a reversal learning task, and the Wisconsin Card Sorting Test (WCST). We found higher ethical sensitivity scores in OCD compared with healthy controls in the case of generating interpretations and options and identifying the consequences of actions. Individuals with OCD displayed prolonged reaction times on probabilistic errors without shift and final reversal errors. Participants with GAD did not differ from healthy controls on the ESSQ, but they were slower on reversal learning relative to nonpatients. In OCD, reaction time on final reversal errors mediated the relationship between ethical sensitivity and compulsions. WCST performance was intact in OCD and GAD. Small sample size, limited neuropsychological assessment, self-rating scale for ethical sensitivity. Prolonged reaction time at switching reinforcement contingencies is related to increased ethical sensitivity in OCD. Slow affective switching may link ethical sensitivity and compulsions. Copyright © 2013 Elsevier Ltd. All rights reserved.

Psychometric Properties of a Newly Developed Learning Difficulties Scale in the Omani Society

ERIC Educational Resources Information Center

Al-Qaryout, Ibrahim A.; Abu-Hilal, Maher M.; Alsulaimani, Humaira

2013-01-01

Introduction: Learning difficulties (LD) is a recent construct. It has been agreed that the individual who suffers from learning difficulties has a disorder in one or more of the basis psychological processes, including attention, cognition, formation of concepts, memory, problem solving, understanding or reading, speaking or writing, or…

Mentoring as a Formalized Learning Strategy with Community Sports Volunteers

ERIC Educational Resources Information Center

Griffiths, Mark; Armour, Kathleen

2012-01-01

The aim of our study was to examine formalized mentoring as a learning strategy for volunteer sports coaches and to consider implications for other volunteer groups in the community. Despite the increasingly popular use of mentoring as a learning and support strategy across professional domains, and the sheer scale of volunteer sports coach…

E-Learning in a Large Organization: A Study of the Critical Role of Information Sharing

ERIC Educational Resources Information Center

Netteland, Grete; Wasson, Barbara; Morch, Anders I

2007-01-01

Purpose: The purpose of this paper is to provide new insights into the implementation of large-scale learning projects; thereby better understanding the difficulties, frustrations, and obstacles encountered when implementing enterprise-wide e-learning as a tool for training and organization transformation in a complex organization.…

Re-Interpreting Relevant Learning: An Evaluative Framework for Secondary Education in a Global Language

ERIC Educational Resources Information Center

Barrett, Angeline M.; Bainton, David

2016-01-01

The 2030 education goal privileges "relevant learning outcomes" as the evaluative space for quality improvement. Whilst the goal was designed for global level monitoring, its influence cuts across different scales. Implementation of the goal involves reinterpreting "relevant learning" at the local level. One way that small…

Pedagogical Models for Enhancing the Cross-Cultural Online Public Health Learning Environment

ERIC Educational Resources Information Center

Banerjee, Srikanta; Firtell, Jill

2017-01-01

Background: Online distance learning (e-learning) is an established method for providing higher education on a global scale due to its potential to reduce inequalities particularly in the area of public health education. Simultaneously, multicultural education is a key component of health education and can be achieved by fostering cultural…

To What Extent Can the Big Five and Learning Styles Predict Academic Achievement

ERIC Educational Resources Information Center

Köseoglu, Yaman

2016-01-01

Personality traits and learning styles play defining roles in shaping academic achievement. 202 university students completed the Big Five personality traits questionnaire and the Inventory of Learning Processes Scale and self-reported their grade point averages. Conscientiousness and agreeableness, two of the Big Five personality traits, related…

Equity and Lifelong Learning: Lessons from Workplace Learning in Scottish SMEs

ERIC Educational Resources Information Center

Riddell, Sheila; Ahlgren, Linda; Weedon, Elisabet

2009-01-01

Workplace learning is identified by UK and Scottish governments as an important means of achieving social mobility, and therefore producing a more equal society. However, there appears to be a patchwork of provision and funding arrangements, making it difficult for employers and employees to identify suitable routes. Analysis of large scale survey…

Development and Validation of a Scale Measuring Approaches to Work-Related Informal Learning

ERIC Educational Resources Information Center

Froehlich, Dominik E.; Beausaert, Simon; Segers, Mien

2017-01-01

Social approaches to work-related informal learning, such as proactive feedback-seeking, help-seeking and information-seeking, are important determinants of development in the workplace. Unfortunately, previous research has failed to clearly conceptualize these forms of learning and does not provide a validated and generally applicable measurement…

Perceptions and Preferences of a Learning Environment: Multidimensional Scaling Approaches.

ERIC Educational Resources Information Center

Muscella, Deborah

Thirty-two kindergarten children, nine parents, and two teachers participated in a study of classroom learning environments. Participants included lower and middle income White and Hispanic families; the children were enrolled in three schools in the southwestern United States. Both interviews and pictures of classroom learning events were used to…

Innovation in Learning and Teaching Project Report: Data Analysis. August 2016/17

ERIC Educational Resources Information Center

Higher Education Funding Council for England, 2016

2016-01-01

This document presents the findings of a small-scale qualitative study into the motivations of higher education providers for pursuing strategic-level innovations in learning and teaching; the source of these innovations; their impact on the learning experience of students; and their financial implications for higher education providers. The…

Service-Learning from a Distance: Partnering Multiple Universities and Local Governments in a Large Scale Initiative

ERIC Educational Resources Information Center

Poindexter, Sandra; Arnold, Pamela; Osterhout, Christopher

2009-01-01

Service-learning can be academically effective even when the distances between students and client organizations prevent face-to-face interchanges and site visits. Working with the State of Michigan and Michigan Townships Association, Michigan students from five universities learned about local government while helping Michigan townships develop…

Consortial Collaboration and the Creation of an Assessment Instrument for Community-Based Learning

ERIC Educational Resources Information Center

Murphy, Margueritte S.; Flowers, Kathleen S.

2017-01-01

This article describes the development of the Community-Based Learning (CBL) Scorecard by a grant-funded consortium of liberal arts institutions. The aim of the scorecard was to promote assessment that improves student learning with an instrument that employs a quantitative scale, allowing for benchmarking across institutions. Extensive interviews…

WISC-R Subtest Pattern Stability and Learning Disabilities: A Profile Analysis.

ERIC Educational Resources Information Center

Mealor, David J.; Abrams, Pamela F.

Profile analysis was performed on Wechsler Intelligence Scale for Children-Revised (WISC-R) scores of 29 learning disabled students (6-10 years old) in a Specific Learning Disabilities (SLD) program, to determine whether subtest patterns for initial and re-evaluation WISC-R administrations would differ significantly. Profile analysis was applied…

Using the mTSES to Evaluate and Optimize mLearning Professional Development

ERIC Educational Resources Information Center

Power, Robert; Cristol, Dean; Gimbert, Belinda; Bartoletti, Robin; Kilgore, Whitney

2016-01-01

The impact of targeted professional development activities on teachers' perceptions of self-efficacy with mobile learning remains understudied. Power (2015a) used the Mobile Teacher's Sense of Efficacy Scale (mTSES) survey instrument to measure the effects of a mobile learning themed professional development course on teachers' confidence with and…

Creative Learning in a Microdevice Research-Inspired Elective Course for Undergraduate and Graduate Students

ERIC Educational Resources Information Center

Minerick, Adrienne R.

2010-01-01

An implementation and assessment of three creative-learning mechanisms in a research-inspired split undergraduate/graduate course in Analytical Microdevice Technology is described. Microscale research is challenging to incorporate into the classroom due to the phenomena length-scales and the creating learning strategies were used to promote…

Investigating Learning through Work: What the Literature Says. Support Document

ERIC Educational Resources Information Center

Chappell, Clive; Hawke, Geof

2008-01-01

This Support Document was produced by the authors based on their research for the report, "Investigating Learning through Work: The Development of the 'Provider Learning Environment Scale'" (ED503392). While couched in very different terms, the analysis presented in this report points to a substantial overlap in the conceptual bases that…

Digital Doings: Curating Work-Learning Practices and Ecologies

ERIC Educational Resources Information Center

Thompson, Terrie Lynn

2016-01-01

Workers are faced with wider networks of knowledge generation amplified by the scale, diffusion, and critical mass of digital artefacts and web technologies globally. In this study of mobilities of work-learning practices, I draw on sociomaterial theorizing to explore how the work and everyday learning practices of self-employed workers or…

The Luria-Nebraska Neuropsychological Battery and the WAIS-R in Assessment of Adults with Specific Learning Disabilities.

ERIC Educational Resources Information Center

Katz, Lynda; Goldstein, Gerald

1993-01-01

Compared intellectual (Wechsler Adult Intelligence Scale for Adults-Revised) and neuropsychological (Luria-Nebraska Neuropsychological Battery) assessment as valid methods of identifying learning disabilities in adults. Findings from 155 subjects revealed that both instruments were able to distinguish adults with and without learning disabilities.…

The Context of Professional Learning for Inclusion: A 4-Ply Model

ERIC Educational Resources Information Center

O'Gorman, Elizabeth

2010-01-01

This paper outlines the findings from one dimension of a large-scale research project which addressed the PL requirements of specialist inclusion/SEN teachers in Ireland. Two aspects relating to the context of professional learning are explored here: the professional learning opportunities preferred by teachers and the professional learning…

On the Determinants of Employment-Related Organised Education and Informal Learning

ERIC Educational Resources Information Center

Nilsson, Staffan; Rubenson, Kjell

2014-01-01

This paper analyses the distribution of employment-related organised education and informal learning in the Canadian workforce. The paper draws on a large-scale survey, the Changing Nature of Work and Lifelong Learning (WALL), which was based on structured and standardised telephone interviews with a representative sample of 5783 Canadian members…

Making Practice Public: Teacher Learning in the 21st Century

ERIC Educational Resources Information Center

Lieberman, Ann; Pointer Mace, Desiree

2010-01-01

We propose that the advent and ubiquity of new media tools and social networking resources provide a means for professional, networked learning to "scale up." We preface our discussion with a review of research that has led us to argue for professional learning communities, document the policies and practices of professional development…

Validity and Reliability of Revised Inventory of Learning Processes.

ERIC Educational Resources Information Center

Gadzella, B. M.; And Others

The Inventory of Learning Processes (ILP) was developed by Schmeck, Ribich, and Ramanaiah in 1977 as a self-report inventory to assess learning style through a behavioral-oriented approach. The ILP was revised by Schmeck in 1983. The Revised ILP contains six scales: (1) Deep Processing; (2) Elaborative Processing; (3) Shallow Processing; (4)…

Using Learning Analytics to Predict (and Improve) Student Success: A Faculty Perspective

ERIC Educational Resources Information Center

Dietz-Uhler, Beth; Hurn, Janet E.

2013-01-01

Learning analytics is receiving increased attention, in part because it offers to assist educational institutions in increasing student retention, improving student success, and easing the burden of accountability. Although these large-scale issues are worthy of consideration, faculty might also be interested in how they can use learning analytics…

Teaching and Learning International Survey TALIS 2013: Conceptual Framework. Final

ERIC Educational Resources Information Center

Rutkowski, David; Rutkowski, Leslie; Bélanger, Julie; Knoll, Steffen; Weatherby, Kristen; Prusinski, Ellen

2013-01-01

In 2008, the initial cycle of the OECD's Teaching and Learning International Survey (TALIS 2008) established, for the first time, an international, large-scale survey of the teaching workforce, the conditions of teaching, and the learning environments of schools in participating countries. The second cycle of TALIS (TALIS 2013) aims to continue…

Recovery of components of memory in post-traumatic amnesia.

PubMed

Leach, Kathleen; Kinsella, Glynda; Jackson, Martin; Matyas, Tom

2006-11-01

Post-traumatic amnesia by definition indicates significant impairment of new learning ability, however very few studies have, examined the natural history and resolution of memory and new learning during PTA. Those studies which have, tended to examine orientation separately from the memory processes required to achieve orientation. Analysis of the order of recovery of the items of the Westmead PTA scale was used to examine recovery of memory and new learning capacity. The results of daily assessment of 34 patients with traumatic brain injury (TBI) on the Westmead PTA scale were analysed for order of recovery. The pattern of rank order of item recovery indicated that Date of Birth recovered consistently first. There was variability in the remaining items, however items reflecting long-term memory tended to recover second and items reflecting simple new learning followed. Recall of all three pictures reflecting complex new learning recovered last. The pattern of recovery of memory and new learning during PTA reflects a number of complex, inter-related variables including; the familiarity with the information, amount of rehearsal both before and since the accident and the number of cues available in the environment.

Task-driven dictionary learning.

PubMed

Mairal, Julien; Bach, Francis; Ponce, Jean

2012-04-01

Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal processing. For signals such as natural images that admit such sparse representations, it is now well established that these models are well suited to restoration tasks. In this context, learning the dictionary amounts to solving a large-scale matrix factorization problem, which can be done efficiently with classical optimization tools. The same approach has also been used for learning features from data for other purposes, e.g., image classification, but tuning the dictionary in a supervised way for these tasks has proven to be more difficult. In this paper, we present a general formulation for supervised dictionary learning adapted to a wide variety of tasks, and present an efficient algorithm for solving the corresponding optimization problem. Experiments on handwritten digit classification, digital art identification, nonlinear inverse image problems, and compressed sensing demonstrate that our approach is effective in large-scale settings, and is well suited to supervised and semi-supervised classification, as well as regression tasks for data that admit sparse representations.

Cognitive biases, linguistic universals, and constraint-based grammar learning.

PubMed

Culbertson, Jennifer; Smolensky, Paul; Wilson, Colin

2013-07-01

According to classical arguments, language learning is both facilitated and constrained by cognitive biases. These biases are reflected in linguistic typology-the distribution of linguistic patterns across the world's languages-and can be probed with artificial grammar experiments on child and adult learners. Beginning with a widely successful approach to typology (Optimality Theory), and adapting techniques from computational approaches to statistical learning, we develop a Bayesian model of cognitive biases and show that it accounts for the detailed pattern of results of artificial grammar experiments on noun-phrase word order (Culbertson, Smolensky, & Legendre, 2012). Our proposal has several novel properties that distinguish it from prior work in the domains of linguistic theory, computational cognitive science, and machine learning. This study illustrates how ideas from these domains can be synthesized into a model of language learning in which biases range in strength from hard (absolute) to soft (statistical), and in which language-specific and domain-general biases combine to account for data from the macro-level scale of typological distribution to the micro-level scale of learning by individuals. Copyright © 2013 Cognitive Science Society, Inc.

A comparative study of two prediction models for brain tumor progression

NASA Astrophysics Data System (ADS)

Zhou, Deqi; Tran, Loc; Wang, Jihong; Li, Jiang

2015-03-01

MR diffusion tensor imaging (DTI) technique together with traditional T1 or T2 weighted MRI scans supplies rich information sources for brain cancer diagnoses. These images form large-scale, high-dimensional data sets. Due to the fact that significant correlations exist among these images, we assume low-dimensional geometry data structures (manifolds) are embedded in the high-dimensional space. Those manifolds might be hidden from radiologists because it is challenging for human experts to interpret high-dimensional data. Identification of the manifold is a critical step for successfully analyzing multimodal MR images. We have developed various manifold learning algorithms (Tran et al. 2011; Tran et al. 2013) for medical image analysis. This paper presents a comparative study of an incremental manifold learning scheme (Tran. et al. 2013) versus the deep learning model (Hinton et al. 2006) in the application of brain tumor progression prediction. The incremental manifold learning is a variant of manifold learning algorithm to handle large-scale datasets in which a representative subset of original data is sampled first to construct a manifold skeleton and remaining data points are then inserted into the skeleton by following their local geometry. The incremental manifold learning algorithm aims at mitigating the computational burden associated with traditional manifold learning methods for large-scale datasets. Deep learning is a recently developed multilayer perceptron model that has achieved start-of-the-art performances in many applications. A recent technique named "Dropout" can further boost the deep model by preventing weight coadaptation to avoid over-fitting (Hinton et al. 2012). We applied the two models on multiple MRI scans from four brain tumor patients to predict tumor progression and compared the performances of the two models in terms of average prediction accuracy, sensitivity, specificity and precision. The quantitative performance metrics were calculated as average over the four patients. Experimental results show that both the manifold learning and deep neural network models produced better results compared to using raw data and principle component analysis (PCA), and the deep learning model is a better method than manifold learning on this data set. The averaged sensitivity and specificity by deep learning are comparable with these by the manifold learning approach while its precision is considerably higher. This means that the predicted abnormal points by deep learning are more likely to correspond to the actual progression region.

Assessment of learning and study strategies of university students in Qatar using an Arabic translation of the Learning and Study Strategies Inventory.

PubMed

Alkhateeb, Haitham M; Nasser, Ramzi

2014-06-01

413 (119 men, 294 women) undergraduate university students in Qatar completed an Arabic version of the Learning and Study Strategies Inventory (LASSI) measuring Anxiety, Attitude, Concentration, Information Processing, Motivation, Self-testing, Selecting Main Ideas, Study Aids, Time Management, and Test Strategies. The students' learning and study strategies scores were similar to those reported in the literature. Factor analysis indicated the same general factors as in the original study. Internal consistency estimates ranged from .62 to .88. Nine of the 10 scales (i.e., all with the exception of the Study Aids) significantly correlated with students' GPAs. Scores obtained from these scales provide valid assessments of Qatar University students' use of learning and study strategies related to skill, will, and self-regulation components of strategic learning and also academic achievement. There also were statistically significant differences between higher and lower achieving students in their learning and study strategies. This study also explored the use of the LASSI as a predictive measure of academic achievement. Anxiety and test strategies were significant predictors of academic achievement as measured by students' GPA.

Self-directed learning readiness and learning styles among Saudi undergraduate nursing students.

PubMed

El-Gilany, Abdel-Hady; Abusaad, Fawzia El Sayed

2013-09-01

Self-directed learning has become a focus for nursing education in the past few decades due to the complexity and changes in nursing profession development. On the other hand, the Kolb's learning style could identify student's preference for perceiving and processing information. This study was performed to determine Saudi nursing students' readiness for self-directed learning; to identify their learning styles and to find out the relation between these two concepts. Cross-sectional descriptive study. Nursing department of faculty of Applied Medical Sciences, Al-Jouf University, Saudi Arabia. Two hundred and seventy-five undergraduate Saudi nursing students. Data was collected using self-administered questionnaires covering the demographic features of students, Fisher's self-directed learning readiness (SDLR) scale, and the Kolb's learning styles inventory. The mean scores of self-management, desire for learning, self-control and the overall SDLR were 51.3 ± 5.9, 48.4 ± 5.5, 59.9 ± 6.7, and 159.6 ± 13.8; respectively. About 77% (211) of students have high level of SDLR. The percentages of converger, diverger, assimilator and accommodator learning styles are 35.6%, 25.8%, 25.55% and 13.1%; respectively. The mean score of self-management, desire for learning, self-control and overall SDLR scale did not vary with any of the studied variables. There is no association between the level of SDLR and the learning styles. The high level of SDLR and the dominant converger learning style among undergraduate nursing students will have a positive implication for their education and post-employment continuing nursing education. Copyright © 2012 Elsevier Ltd. All rights reserved.

The development of a questionnaire to measure students' motivation towards science learning

NASA Astrophysics Data System (ADS)

Tuan, Hsiao-Lin; Chin, Chi-Chin; Shieh, Shyang-Horng

2005-06-01

The purpose of this study was to develop a questionnaire that measures students' motivation toward science learning (SMTSL). Six scales were developed: self-efficacy, active learning strategies, science learning value, performance goal, achievement goal, and learning environment stimulation. In total, 1407 junior high school students from central Taiwan, varying in grades, sex, and achievements, were selected by stratified random sampling to respond to the questionnaire. The Cronbach alpha for the entire questionnaire was 0.89; for each scale, alpha ranged from 0.70 to 0.89. There were significant correlations (p?<?0.01) of the SMTSL questionnaire with students' science attitudes (r?=?0.41), and with the science achievement test in previous and current semesters (rp?=?0.40 and rc?=?0.41). High motivators and low motivators showed a significant difference (p?<?0.01) on their SMTSL scores. Findings of the study confirmed the validity and reliability of the SMTSL questionnaire. Implications for using the SMTSL questionnaire in research and in class are discussed in the paper.

The Potential for Double-Loop Learning to Enable Landscape Conservation Efforts

NASA Astrophysics Data System (ADS)

Petersen, Brian; Montambault, Jensen; Koopman, Marni

2014-10-01

As conservation increases its emphasis on implementing change at landscape-level scales, multi-agency, cross-boundary, and multi-stakeholder networks become more important. These elements complicate traditional notions of learning. To investigate this further, we examined structures of learning in the Landscape Conservation Cooperatives (LCCs), which include the entire US and its territories, as well as parts of Canada, Mexico, and Caribbean and Pacific island states. We used semi-structured interviews, transcribed and analyzed using NVivo, as well as a charrette-style workshop to understand the difference between the original stated goals of individual LCCs and the values and purposes expressed as the collaboration matured. We suggest double-loop learning as a theoretical framework appropriate to landscape-scale conservation, recognizing that concerns about accountability are among the valid points of view that must be considered in multi-stakeholder collaborations. Methods from the social sciences and public health sectors provide insights on how such learning might be actualized.

Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data.

PubMed

Piccinini, Filippo; Balassa, Tamas; Szkalisity, Abel; Molnar, Csaba; Paavolainen, Lassi; Kujala, Kaisa; Buzas, Krisztina; Sarazova, Marie; Pietiainen, Vilja; Kutay, Ulrike; Smith, Kevin; Horvath, Peter

2017-06-28

High-content, imaging-based screens now routinely generate data on a scale that precludes manual verification and interrogation. Software applying machine learning has become an essential tool to automate analysis, but these methods require annotated examples to learn from. Efficiently exploring large datasets to find relevant examples remains a challenging bottleneck. Here, we present Advanced Cell Classifier (ACC), a graphical software package for phenotypic analysis that addresses these difficulties. ACC applies machine-learning and image-analysis methods to high-content data generated by large-scale, cell-based experiments. It features methods to mine microscopic image data, discover new phenotypes, and improve recognition performance. We demonstrate that these features substantially expedite the training process, successfully uncover rare phenotypes, and improve the accuracy of the analysis. ACC is extensively documented, designed to be user-friendly for researchers without machine-learning expertise, and distributed as a free open-source tool at www.cellclassifier.org. Copyright © 2017 Elsevier Inc. All rights reserved.

Unpacking the Paradox of Chinese Science Learners: Insights from Research into Asian Chinese School Students' Attitudes towards Learning Science, Science Learning Strategies, and Scientific Epistemological Views

ERIC Educational Resources Information Center

Cheng, May Hung May; Wan, Zhi Hong

2016-01-01

Chinese students' excellent science performance in large-scale international comparisons contradicts the stereotype of the Chinese non-productive classroom learning environment and learners. Most of the existing explanations of this paradox are provided from the perspective of teaching and learning in a general sense, but little work can be found…

Access and Success in Learning: Technologies for Scaling Up Open and Distance Learning Programme in the Institute of Distance Learning, KNUST, Kumasi, Ghana

ERIC Educational Resources Information Center

Essel, Rebecca; Owusu-Boateng, William

2011-01-01

ODL (Open and Distance Learning) has come to stay. In recent years, there has been some extra-ordinary increasing international interest in it and Ghana is no exception. Currently, new ways of providing education are inevitable and ODL provides an effective alternate way. It represents approaches that focus on opening access to education and…

Model-Based Teaching and Learning with BioLogica[TM]: What Do They Learn? How Do They Learn? How Do We Know?

ERIC Educational Resources Information Center

Buckley, Barbara C.; Gobert, Janice D.; Kindfield, Ann C. H.; Horwitz, Paul; Tinker, Robert F.; Gerlits, Bobbi; Wilensky, Uri; Dede, Chris; Willett, John

2004-01-01

This paper describes part of a project called Modeling Across the Curriculum which is a large-scale research study in 15 schools across the United States. The specific data presented and discussed here in this paper is based on BioLogica, a hypermodel, interactive environment for learning genetics, which was implemented in multiple classes in…

"There Was a Lot of Learning Going on" Using a Digital Medium to Support Learning in a Professional Course for New HE Lecturers

ERIC Educational Resources Information Center

Chesney, Sarah; Marcangelo, Caroline

2010-01-01

This small scale action research study investigated the experiences of learners over two iterations as they completed a patchwork text assignment within the digital medium of a personal learning system (PLS). The aim was to investigate the extent to which using a PLS can facilitate formative and collaborative feedback to assist student learning. A…

Scaling Up, "Writ Small": Using an Assessment for Learning Audit Instrument to Stimulate Site-Based Professional Development, One School at a Time

ERIC Educational Resources Information Center

Lysaght, Zita; O'Leary, Michael

2017-01-01

Exploiting the potential that Assessment for Learning (AfL) offers to optimise student learning is contingent on both teachers' knowledge and use of AfL and the fidelity with which this translates into their daily classroom practices. Quantitative data derived from the use of an Assessment for Learning Audit Instrument (AfLAI) with a large sample…

Machine Learning in the Big Data Era: Are We There Yet?

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

Sukumar, Sreenivas Rangan

In this paper, we discuss the machine learning challenges of the Big Data era. We observe that recent innovations in being able to collect, access, organize, integrate, and query massive amounts of data from a wide variety of data sources have brought statistical machine learning under more scrutiny and evaluation for gleaning insights from the data than ever before. In that context, we pose and debate the question - Are machine learning algorithms scaling with the ability to store and compute? If yes, how? If not, why not? We survey recent developments in the state-of-the-art to discuss emerging and outstandingmore » challenges in the design and implementation of machine learning algorithms at scale. We leverage experience from real-world Big Data knowledge discovery projects across domains of national security and healthcare to suggest our efforts be focused along the following axes: (i) the data science challenge - designing scalable and flexible computational architectures for machine learning (beyond just data-retrieval); (ii) the science of data challenge the ability to understand characteristics of data before applying machine learning algorithms and tools; and (iii) the scalable predictive functions challenge the ability to construct, learn and infer with increasing sample size, dimensionality, and categories of labels. We conclude with a discussion of opportunities and directions for future research.« less

K-State Problem Identification Rating Scales for College Students

ERIC Educational Resources Information Center

Robertson, John M.; Benton, Stephen L.; Newton, Fred B.; Downey, Ronald G.; Marsh, Patricia A.; Benton, Sheryl A.; Tseng, Wen-Chih; Shin, Kang-Hyun

2006-01-01

The K-State Problem Identification Rating Scales, a new screening instrument for college counseling centers, gathers information about clients' presenting symptoms, functioning levels, and readiness to change. Three studies revealed 7 scales: Mood Difficulties, Learning Problems, Food Concerns, Interpersonal Conflicts, Career Uncertainties,…

Context-Aware Local Binary Feature Learning for Face Recognition.

PubMed

Duan, Yueqi; Lu, Jiwen; Feng, Jianjiang; Zhou, Jie

2018-05-01

In this paper, we propose a context-aware local binary feature learning (CA-LBFL) method for face recognition. Unlike existing learning-based local face descriptors such as discriminant face descriptor (DFD) and compact binary face descriptor (CBFD) which learn each feature code individually, our CA-LBFL exploits the contextual information of adjacent bits by constraining the number of shifts from different binary bits, so that more robust information can be exploited for face representation. Given a face image, we first extract pixel difference vectors (PDV) in local patches, and learn a discriminative mapping in an unsupervised manner to project each pixel difference vector into a context-aware binary vector. Then, we perform clustering on the learned binary codes to construct a codebook, and extract a histogram feature for each face image with the learned codebook as the final representation. In order to exploit local information from different scales, we propose a context-aware local binary multi-scale feature learning (CA-LBMFL) method to jointly learn multiple projection matrices for face representation. To make the proposed methods applicable for heterogeneous face recognition, we present a coupled CA-LBFL (C-CA-LBFL) method and a coupled CA-LBMFL (C-CA-LBMFL) method to reduce the modality gap of corresponding heterogeneous faces in the feature level, respectively. Extensive experimental results on four widely used face datasets clearly show that our methods outperform most state-of-the-art face descriptors.

Intercorrelation of the WISC-R and the Renzulli-Hartman Scale for Determination of Gifted Placement.

ERIC Educational Resources Information Center

Lowrance, Dan; Anderson, Howard N.

In order to compare the Wechsler Intelligence Scale for Children--Revised (WISC-R) and the Renzulli-Hartman Scale for Determination of Gifted Placement, 192 potentially gifted elementary students were rated on both tests. A correlation matrix indicated that one of the four subscales of the Renzulli-Hartman Scale, the Learning Characteristics…

What Does It Take to Scale Up and Sustain Evidence-Based Practices?

ERIC Educational Resources Information Center

Klingner, Janette K.; Boardman, Alison G.; Mcmaster, Kristen L.

2013-01-01

This article discusses the strategic scaling up of evidence-based practices. The authors draw from the scholarly work of fellow special education researchers and from the field of learning sciences. The article defines scaling up as the process by which researchers or educators initially implement interventions on a small scale, validate them, and…

Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality.

PubMed

Li, Zhongyu; Butler, Erik; Li, Kang; Lu, Aidong; Ji, Shuiwang; Zhang, Shaoting

2018-02-12

Recently released large-scale neuron morphological data has greatly facilitated the research in neuroinformatics. However, the sheer volume and complexity of these data pose significant challenges for efficient and accurate neuron exploration. In this paper, we propose an effective retrieval framework to address these problems, based on frontier techniques of deep learning and binary coding. For the first time, we develop a deep learning based feature representation method for the neuron morphological data, where the 3D neurons are first projected into binary images and then learned features using an unsupervised deep neural network, i.e., stacked convolutional autoencoders (SCAEs). The deep features are subsequently fused with the hand-crafted features for more accurate representation. Considering the exhaustive search is usually very time-consuming in large-scale databases, we employ a novel binary coding method to compress feature vectors into short binary codes. Our framework is validated on a public data set including 58,000 neurons, showing promising retrieval precision and efficiency compared with state-of-the-art methods. In addition, we develop a novel neuron visualization program based on the techniques of augmented reality (AR), which can help users take a deep exploration of neuron morphologies in an interactive and immersive manner.

Grid cell hexagonal patterns formed by fast self-organized learning within entorhinal cortex.

PubMed

Mhatre, Himanshu; Gorchetchnikov, Anatoli; Grossberg, Stephen

2012-02-01

Grid cells in the dorsal segment of the medial entorhinal cortex (dMEC) show remarkable hexagonal activity patterns, at multiple spatial scales, during spatial navigation. It has previously been shown how a self-organizing map can convert firing patterns across entorhinal grid cells into hippocampal place cells that are capable of representing much larger spatial scales. Can grid cell firing fields also arise during navigation through learning within a self-organizing map? This article describes a simple and general mathematical property of the trigonometry of spatial navigation which favors hexagonal patterns. The article also develops a neural model that can learn to exploit this trigonometric relationship. This GRIDSmap self-organizing map model converts path integration signals into hexagonal grid cell patterns of multiple scales. GRIDSmap creates only grid cell firing patterns with the observed hexagonal structure, predicts how these hexagonal patterns can be learned from experience, and can process biologically plausible neural input and output signals during navigation. These results support an emerging unified computational framework based on a hierarchy of self-organizing maps for explaining how entorhinal-hippocampal interactions support spatial navigation. Copyright © 2010 Wiley Periodicals, Inc.

Integrating Interprofessional Education and Cultural Competency Training to Address Health Disparities.

PubMed

McElfish, Pearl Anna; Moore, Ramey; Buron, Bill; Hudson, Jonell; Long, Christopher R; Purvis, Rachel S; Schulz, Thomas K; Rowland, Brett; Warmack, T Scott

2018-01-01

Many U.S. medical schools have accreditation requirements for interprofessional education and training in cultural competency, yet few programs have developed programs to meet both of these requirements simultaneously. Furthermore, most training programs to address these requirements are broad in nature and do not focus on addressing health disparities. The lack of integration may reduce the students' ability to apply the knowledge learned. Innovative programs that combine these two learning objectives and focus on disenfranchised communities are needed to train the next generation of health professionals. A unique interprofessional education program was developed at the University of Arkansas for Medical Sciences Northwest. The program includes experiential learning, cultural exposure, and competence-building activities for interprofessional teams of medicine, nursing, and pharmacy students. The activities include (a) educational seminars, (b) clinical experiential learning in a student-led clinic, and (c) community-based service-learning through health assessments and survey research events. The program focuses on interprofessional collaboration to address the health disparities experienced by the Marshallese community in northwest Arkansas. The Marshallese are Pacific Islanders who suffer from significant health disparities related to chronic and infectious diseases. Comparison tests revealed statistically significant changes in participants' retrospectively reported pre/posttest scores for Subscales 1 and 2 of the Readiness for Interpersonal Learning Scale and for the Caffrey Cultural Competence in Healthcare Scale. However, no significant change was found for Subscale 3 of the Readiness for Interpersonal Learning Scale. Qualitative findings demonstrated a change in students' knowledge, attitudes, and behavior toward working with other professions and the underserved population. The program had to be flexible enough to meet the educational requirements and class schedules of the different health professions' education programs. The target community spoke limited English, so providing interpretation services using bilingual Marshallese community health workers was integral to the program's success.

Scale-Up: Improving Large Enrollment Physics Courses

NASA Astrophysics Data System (ADS)

Beichner, Robert

1999-11-01

The Student-Centered Activities for Large Enrollment University Physics (SCALE-UP) project is working to establish a learning environment that will promote increased conceptual understanding, improved problem-solving performance, and greater student satisfaction, while still maintaining class sizes of approximately 100. We are also addressing the new ABET engineering accreditation requirements for inquiry-based learning along with communication and team-oriented skills development. Results of studies of our latest classroom design, plans for future classroom space, and the current iteration of instructional materials will be discussed.

Learning from catchments to understand hydrological drought (HS Division Outstanding ECS Award Lecture)

NASA Astrophysics Data System (ADS)

Van Loon, Anne

2017-04-01

Drought is a global challenge. To be able to manage drought effectively on global or national scales without losing smaller scale variability and local context, we need to understand what the important hydrological drought processes are at different scales. Global scale models and satellite data are providing a global overview and catchment scale studies provide detailed site-specific information. I am interested in bridging these two scale levels by learning from catchments from around the world. Much information from local case studies is currently underused on larger scales because there is too much complexity. However, some of this complexity might be crucial on the level where people are facing the consequences of drought. In this talk, I will take you on a journey around the world to unlock catchment scale information and see if the comparison of many catchments gives us additional understanding of hydrological drought processes on the global scale. I will focus on the role of storage in different compartments of the terrestrial hydrological cycle, and how we as humans interact with that storage. I will discuss aspects of spatial and temporal variability in storage that are crucial for hydrological drought development and persistence, drawing from examples of catchments with storage in groundwater, lakes and wetlands, and snow and ice. The added complexity of human activities shifts the focus from natural to catchments with anthropogenic increases in storage (reservoirs), decreases in storage (groundwater abstraction), and changes in hydrological processes (urbanisation). We learn how local information is providing valuable insights, in some cases challenging theoretical understanding or model outcomes. Despite the challenges of working across countries, with a high number of collaborators, in a multitude of languages, under data-scarce conditions, the scientific advantages of bridging scales are substantial. The comparison of catchments around the world can inform global scale models, give the needed spatial variability to satellite data, and help us make steps in understanding and managing the complex challenge of drought, now and in the future.

Deep Learning as an Individual, Conditional, and Contextual Influence on First-Year Student Outcomes

ERIC Educational Resources Information Center

Reason, Robert D.; Cox, Bradley E.; McIntosh, Kadian; Terenzini, Patrick T.

2010-01-01

For years, educators have drawn a distinction between deep cognitive processing and surface-level cognitive processing, with the former resulting in greater learning. In recent years, researchers at NSSE have created DEEP Learning scales, which consist of items related to students' experiences which are believed to encourage deep processing. In…

Reflective Learning in a Chinese MBA Programme: Scale Assessment and Future Recommendations

ERIC Educational Resources Information Center

Xiao, Qian; Zhu, Pinghui; Hsu, Maxwell K.; Zhuang, Weiling; Peltier, James

2016-01-01

The purpose of this study was twofold: (1) to use Chinese MBA students to validate the expanded reflective learning continuum and address the concerns raised in this regard in business education; (2) to determine whether the continuum concept holds true in a non-western culture and whether the reflective learning continuum remains a powerful force…

A Multilevel Analysis of the Impact of a Professional Learning Community, Faculty Trust in Colleagues and Collective Efficacy on Teacher Commitment to Students

ERIC Educational Resources Information Center

Lee, John Chi-kin; Zhang, Zhonghua; Yin, Hongbiao

2011-01-01

This study investigated the relationships between a professional learning community (PLC), faculty trust in colleagues, teachers' collective efficacy, and their commitment to students. The findings from exploratory factor analysis indicated that three clear components could be extracted from the scale of Professional Learning Communities…

The Investigation of the Relationship between Teachers' Beliefs towards Learning and Beliefs towards the Standard Tests

ERIC Educational Resources Information Center

Kinay, Ismail; Karatas, Kasim

2017-01-01

The aim of this study is to investigate the relationship between teachers' beliefs toward learning and beliefs toward standard tests. During the study, correlational survey research model, one of the research models, is adopted. As data collection tool; "Belief Scale Towards Learning" and "Beliefs About Standardized Tests…

The Development of a Survey Instrument to Measure Transactional Distance in Secondary Blended Learning Environments

ERIC Educational Resources Information Center

Lane, Dennis Glenn

2017-01-01

The goal of this study was to develop a survey instrument to measure transactional distance in secondary blended learning environments. This study resulted in a 35-item survey instrument, the Blended Learning Assessment Scale of Transactional Distance (BLASTD), which was tested using a convenience sample of secondary students (n = 222) at a…