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Katirci, Nihal – ProQuest LLC, 2023
This dissertation seeks to investigate how digital gestures connect to students' mathematical understanding when playing "From Here to There!" (FH2T). This investigation explores the intersection of three fields, game-based learning, embodied cognition, and mathematics education. I used three studies which break down the different…
Descriptors: Mathematics Skills, Cognitive Processes, Game Based Learning, Mathematics Education
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Blundell, Christopher N.; Mukherjee, Michelle; Nykvist, Shaun – Action in Teacher Education, 2023
Curriculum and professional standards mandate that digital technologies are used in schooling, and consequently, universities are required to prepare pre-service teachers for this in initial teacher education degrees. In response, one Australian university developed an inquiry-based collaborative approach, called creative inquiry. Feedback from…
Descriptors: Preservice Teachers, Feedback (Response), Inquiry, Active Learning
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Michael-Luna, Sara; Castner, Daniel J. – Contemporary Issues in Early Childhood, 2023
In this article, the authors consider the shift from neoliberalism to authoritarian practice and its chilling effect on early childhood education policy, practice, and advocacy work. Firstly, they consider the history of resistance found within the field of early childhood education, recognizing the success of the reconceptualization movement.…
Descriptors: Neoliberalism, Authoritarianism, Early Childhood Education, Educational Policy
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Elbawab, Mohamed; Henriques, Roberto – Education and Information Technologies, 2023
Electronic learning (e-learning) is considered the new norm of learning. One of the significant drawbacks of e-learning in comparison to the traditional classroom is that teachers cannot monitor the students' attentiveness. Previous literature used physical facial features or emotional states in detecting attentiveness. Other studies proposed…
Descriptors: Students, Electronic Learning, Attention Span, Artificial Intelligence
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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
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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
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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
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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
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
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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
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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
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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
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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
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