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Yang, Albert C. M.; Ogata, Hiroaki – Smart Learning Environments, 2023
Persistence represents a crucial trait in learning. A lack of persistence prevents learners from fully mastering their current skills and makes it difficult for them to acquire new skills. It further hinders the administration of effective interventions by learning systems. Although most studies have focused on identifying non-persistence and…
Descriptors: Academic Persistence, Formative Evaluation, Item Response Theory, High School Students
Lim, Hwanggyu; Choe, Edison M. – Journal of Educational Measurement, 2023
The residual differential item functioning (RDIF) detection framework was developed recently under a linear testing context. To explore the potential application of this framework to computerized adaptive testing (CAT), the present study investigated the utility of the RDIF[subscript R] statistic both as an index for detecting uniform DIF of…
Descriptors: Test Items, Computer Assisted Testing, Item Response Theory, Adaptive Testing
Sull, Errol Craig – Distance Learning, 2023
As courses can get stale in the world of online education, it can become easy to teach the same old same old. Educators want courses that are fresh, that reflect the latest research, that meet and engage their students, and that offer stimulating and interesting information. When approached in a methodical step-by-step manner, successfully…
Descriptors: Online Courses, Curriculum Development, Course Content, Course Objectives
Lauren Berkovits; Jan Blacher; Abbey Eisenhower; Stuart Daniel – Grantee Submission, 2023
Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…
Descriptors: Emotional Response, Check Lists, Autism Spectrum Disorders, Comparative Analysis
Chenchen Ma; Jing Ouyang; Gongjun Xu – Grantee Submission, 2023
Cognitive Diagnosis Models (CDMs) are a special family of discrete latent variable models that are widely used in educational and psychological measurement. A key component of CDMs is the Q-matrix characterizing the dependence structure between the items and the latent attributes. Additionally, researchers also assume in many applications certain…
Descriptors: Psychological Evaluation, Clinical Diagnosis, Item Analysis, Algorithms
Ezgi R. Diri Koç; Diler Öner – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to compare the use of elaborated and metacognitive feedback strategies in interactive instructional videos in terms of undergraduate students' engagement and metacognitive awareness levels. This study also aims to investigate undergraduate students' evaluations of elaborated and metacognitive feedback in these…
Descriptors: Metacognition, Feedback (Response), Interactive Video, Educational Technology
Empirical Benchmarks for Planning and Interpreting Causal Effects of Community College Interventions
Michael J. Weiss; Marie-Andrée Somers; Colin Hill – Grantee Submission, 2023
Randomized controlled trials (RCTs) are an increasingly common research design for evaluating the effectiveness of community college (CC) interventions. However, when planning an RCT evaluation of a CC intervention, there is limited empirical information about what sized effects an intervention might reasonably achieve, which can lead to under- or…
Descriptors: Community Colleges, Response to Intervention, Randomized Controlled Trials, College Enrollment
Empirical Benchmarks for Planning and Interpreting Causal Effects of Community College Interventions
Michael J. Weiss; Marie-Andrée Somers; Colin Hill – Journal of Postsecondary Student Success, 2023
Randomized controlled trials (RCTs) are an increasingly common research design for evaluating the effectiveness of community college (CC) interventions. However, when planning an RCT evaluation of a CC intervention, there is limited empirical information about what sized effects an intervention might reasonably achieve, which can lead to under- or…
Descriptors: Community Colleges, Response to Intervention, Randomized Controlled Trials, College Enrollment
Austin T. Wyman; Zhiyong Zhang – Grantee Submission, 2023
Emotion recognition application programming interface (API) is a recent advancement in computing technology that synthesizes computer vision, machine-learning algorithms, deep-learning neural networks, and other information to detect and label human emotions. The strongest iterations of this technology are produced by technology giants with large,…
Descriptors: Emotional Response, Computer Software, Emotional Problems, Autism Spectrum Disorders
Iida, Ryosuke; Itsukusima, Yukio; Mah, Eric Y. – Applied Cognitive Psychology, 2020
According to the cue-belief model, we assess confidence in our memories using self-credibility cues that reflect beliefs about our memory faculties. We tested the influence of meta-memory feedback on self-credibility cues in the context of eyewitness testimony, when feedback was provided prior to "testifying" via a memory questionnaire…
Descriptors: Self Esteem, Memory, Identification, Accuracy
Wiskow, Katie M.; Torrecillas, Jasmine; Rocha, Haide; DaSilva, Allison – Analysis of Verbal Behavior, 2020
In the present study, experimenters evaluated the influence of lag schedules of reinforcement in combination with accurate and inaccurate (complete and incomplete) rules on the response variability of naming category items for typically developing preschoolers in a group format. Results showed that when lag schedules were introduced with 2…
Descriptors: Scheduling, Reinforcement, Responses, Naming
Keith C. Radley; Evan H. Dart; Kate A. Helbig; Stefanie R. Schrieber – Journal of Developmental and Physical Disabilities, 2020
Lag schedules of reinforcement have been found to be useful in addressing invariant behavior of individuals with autism spectrum disorder (ASD). The purpose of this study was to conduct an additive analysis of lag schedules and rules. Three participants with ASD were exposed to a Lag 2 schedule of reinforcement in isolation. Following,…
Descriptors: Autism Spectrum Disorders, Reinforcement, Scheduling, Responses
Gordon Wolf, Melissa; Nylund-Gibson, Karen; Dowdy, Erin; Furlong, Michael – Grantee Submission, 2019
This paper presents a framework for choosing between 4-and 6-point response options for use with online surveys. Using data that have both 4- and 6-point Likert-type items, we compare correlations, fit of factor analytic models, and several different reliability estimates as a way of identifying if there is empirical support for choosing a…
Descriptors: Likert Scales, Item Response Theory, Test Items, Goodness of Fit
Ugarte, Elisa; Liu, Siwei; Hastings, Paul D. – Developmental Psychology, 2021
Biopsychosocial models of children's socioemotional development highlight the joint influences of physiological regulation and parenting practices. Both high and low levels of children's baseline respiratory sinus arrhythmia (RSA) have been associated with children's maladjustment, indicative of nonlinear associations. Negative or unsupportive…
Descriptors: Child Development, Physiology, Parenting Styles, Behavior Problems
Teraoka, Eishin; Jancer Ferreira, Heidi; Kirk, David; Bardid, Farid – Journal of Teaching in Physical Education, 2021
Purpose: The purpose of this study was to carry out a systematic review of intervention programs that have addressed affective learning outcomes within physical education and to explore pedagogical practices in alignment with teaching, lesson content, and learning outcomes. Method: The literature search was conducted in accordance with the…
Descriptors: Social Emotional Learning, Physical Education, Intervention, Program Implementation

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