Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 6 |
| Since 2007 (last 20 years) | 14 |
Descriptor
Source
Author
| Al-Smadi, Ahmed | 1 |
| Anwer, Jivan Kamal | 1 |
| Bernaards, Coen A. | 1 |
| Biemans, Harm | 1 |
| Bub, Kristen L. | 1 |
| Buchanan, Taylor L. | 1 |
| Butcher, Greg Q. | 1 |
| Chirhart, Scott | 1 |
| Erath, Stephen A. | 1 |
| Gharaibeh, Besher | 1 |
| Gulikers, Judith | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 15 |
| Reports - Research | 15 |
| Dissertations/Theses -… | 1 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 7 |
| Postsecondary Education | 5 |
| Elementary Education | 3 |
| Secondary Education | 2 |
| Grade 10 | 1 |
| Grade 11 | 1 |
| Grade 12 | 1 |
| Grade 5 | 1 |
| Grade 6 | 1 |
| High Schools | 1 |
| Intermediate Grades | 1 |
| More ▼ | |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Patterns of Adaptive Learning… | 1 |
What Works Clearinghouse Rating
Yongze Xu – Educational and Psychological Measurement, 2024
The questionnaire method has always been an important research method in psychology. The increasing prevalence of multidimensional trait measures in psychological research has led researchers to use longer questionnaires. However, questionnaires that are too long will inevitably reduce the quality of the completed questionnaires and the efficiency…
Descriptors: Item Response Theory, Questionnaires, Generalization, Simulation
Hoofs, Huub; van de Schoot, Rens; Jansen, Nicole W. H.; Kant, IJmert – Educational and Psychological Measurement, 2018
Bayesian confirmatory factor analysis (CFA) offers an alternative to frequentist CFA based on, for example, maximum likelihood estimation for the assessment of reliability and validity of educational and psychological measures. For increasing sample sizes, however, the applicability of current fit statistics evaluating model fit within Bayesian…
Descriptors: Goodness of Fit, Bayesian Statistics, Factor Analysis, Sample Size
Butcher, Greg Q.; Rodriguez, Juan; Chirhart, Scott; Messina, Troy C. – Bioscene: Journal of College Biology Teaching, 2016
In order to increase students' awareness for and comfort with mathematical modeling of biological processes, and increase their understanding of diffusion, the following lab was developed for use in 100-level, majors/non-majors biology and neuroscience courses. The activity begins with generation of a data set that uses coin-flips to replicate…
Descriptors: Biology, Comparative Analysis, Simulation, Questionnaires
Gharaibeh, Besher; Hweidi, Issa; Al-Smadi, Ahmed – Cogent Education, 2017
Background: Simulation can produce highly qualified professionals, however, it can also be perceived as stressful and frustrating by the nursing students. Purposes: This study was to identify the attitudes and perceptions of Jordanian nursing students toward simulation as an educational strategy, to investigate whether certain students'…
Descriptors: Student Attitudes, Nursing Students, Nursing Education, Undergraduate Students
Song, Yanjie; Kong, Siu-Cheung – Journal of Educational Computing Research, 2017
The study aims at investigating university students' acceptance of a statistics learning platform to support the learning of statistics in a blended learning context. Three kinds of digital resources, which are simulations, online videos, and online quizzes, were provided on the platform. Premised on the technology acceptance model, we adopted a…
Descriptors: Academic Achievement, Technology Uses in Education, Statistics, College Students
Khaled, Anne; Gulikers, Judith; Biemans, Harm; Mulder, Martin – British Educational Research Journal, 2015
Hands-on simulations are increasingly used in vocational oriented curricula to create meaningful, occupation-related learning experiences. However, more insight is required about precisely what characteristics in hands-on simulations enhance outcomes that students need for their future occupation, such as competencies. This study aims to examine…
Descriptors: Simulation, Hands on Science, Experiential Learning, Vocational Education
Jang, Eunice Eunhee; Lajoie, Susanne P.; Wagner, Maryam; Xu, Zhenhua; Poitras, Eric; Naismith, Laura – Journal of Educational Computing Research, 2017
Technology-rich learning environments (TREs) provide opportunities for learners to engage in complex interactions involving a multitude of cognitive, metacognitive, and affective states. Understanding learners' distinct learning progressions in TREs demand inquiry approaches that employ well-conceived theoretical accounts of these multiple facets.…
Descriptors: Educational Technology, Technology Uses in Education, Simulation, Patients
Tilfarlioglu, Filiz Yalçin; Anwer, Jivan Kamal – Journal of Education and Training Studies, 2017
Lean is regarded as a systematic approach to maximizing value by minimizing waste, and by flowing the product or service at the pull of the customer demand. These key concepts of "value," "flow," and "pull," align with the ultimate lean goal: "perfection," or a continuous striving for improvement in the…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Teaching Methods
Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
Erath, Stephen A.; Bub, Kristen L.; Tu, Kelly M. – Journal of Early Adolescence, 2016
This study examined physiological and coping responses to peer-evaluative challenges in early adolescence as predictors of academic outcomes. The sample included 123 young adolescents (X-bar[subscript age]) = 12.03 years) who participated in the summer before (T1) and the spring after (T2) the transition to middle school. At T1, respiratory sinus…
Descriptors: Early Adolescents, Coping, Physiology, Predictor Variables
Shea, Kathleen – ProQuest LLC, 2015
Nursing students are expected to apply knowledge from lectures and laboratories to the clinical setting. One major challenge of nursing educators is facilitating the transfer of knowledge to the clinical-practice setting. Simulation-based education provides students with an experiential-learning activity within the context of a simulated clinical…
Descriptors: Nursing Students, Nursing Education, Clinical Experience, Simulation
de Oliveira Souza, Leandro; Lopes, Celi Espasandin; de Oliveira Mendonça, Luzinete – Statistics Education Research Journal, 2014
The inclusion of statistics and probability in the mathematics curriculum has always generated challenges to mathematics teachers of elementary schools. This article discusses activities that promote the professional development of such teachers. We present part of a doctoral research study of 16 teachers in which we discuss two case studies of…
Descriptors: Probability, Mathematics Teachers, Elementary School Mathematics, Faculty Development
Woods, Carol M. – Applied Psychological Measurement, 2011
Differential item functioning (DIF) occurs when an item on a test, questionnaire, or interview has different measurement properties for one group of people versus another, irrespective of true group-mean differences on the constructs being measured. This article is focused on item response theory based likelihood ratio testing for DIF (IRT-LR or…
Descriptors: Simulation, Item Response Theory, Testing, Questionnaires
Peer reviewedBernaards, Coen A.; Sijtsma, Klaas – Multivariate Behavioral Research, 2000
Using simulation, studied the influence of each of 12 imputation methods and 2 methods using the EM algorithm on the results of maximum likelihood factor analysis as compared with results from the complete data factor analysis (no missing scores). Discusses why EM methods recovered complete data factor loadings better than imputation methods. (SLD)
Descriptors: Factor Analysis, Maximum Likelihood Statistics, Questionnaires, Simulation
Kriek, Jeanne; Stols, Gerrit – South African Journal of Education, 2010
In this pilot study, we sought to examine the influence of the beliefs of Grade 10 to 12 physical science teachers on their intended and actual usage of interactive simulations (Physics Education Technology, or PhET) in their classrooms. A combination of the Theory of Planned Behaviour, the Technology Acceptance Model and the Innovation Diffusion…
Descriptors: Teacher Attitudes, Secondary School Teachers, Science Teachers, Simulation
Previous Page | Next Page »
Pages: 1 | 2
Direct link
