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Hongfeng Zhang; Fanbo Li; Xiaolong Chen – Journal of Educational Computing Research, 2025
This study addresses the gap in understanding graduate students' sustained engagement behavior (SEB) with generative artificial intelligence (GAI) by integrating the Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT), and Theory of Reasoned Action (TRA) into a comprehensive embedding model. It introduces the Technology…
Descriptors: Graduate Students, Artificial Intelligence, Learner Engagement, Foreign Countries
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Huang, Wen; Roscoe, Rod D.; Craig, Scotty D.; Johnson-Glenberg, Mina C. – Journal of Educational Computing Research, 2022
Virtual reality (VR) has a high potential to facilitate education. However, the design of many VR learning applications was criticized for lacking the guidance of explicit and appropriate learning theories. To advance the use of VR in effective instruction, this study proposed a model that extended the cognitive-affective theory of learning with…
Descriptors: Affective Behavior, Learning Theories, Computer Simulation, Teaching Methods
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Huang, Xiaoxia; Mayer, Richard E. – Journal of Educational Computing Research, 2019
This study investigated the effectiveness of adding four self-efficacy features to an online statistics lesson, based on Bandura's four sources of self-efficacy information. In a randomized between-subjects experiment, participants learned statistical rules in an example-based online environment with four self-efficacy features added (treatment…
Descriptors: Self Efficacy, Online Courses, Statistics, Teaching Methods
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Veletsianos, George; Beth, Bradley; Lin, Calvin; Russell, Gregory – Journal of Educational Computing Research, 2016
"Thriving in Our Digital World" is a technology-enhanced dual enrollment course introducing high school students to computer science through project- and problem-based learning. This article describes the evolution of the course and five lessons learned during the design, development, implementation, and iteration of the course from its…
Descriptors: Computer Science, Computer Science Education, High School Students, Instructional Design
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Šafhalter, Andrej; Vukman, Karin Bakracevic; Glodež, Srecko – Journal of Educational Computing Research, 2016
The aim of this research was to establish whether gender and age have an impact on spatial reasoning and its development through the use of 3D modeling. The study was conducted on a sample of 196 children from sixth to ninth grade, of whom 95 represented the experimental group and 101 the control group. The experimental group received 3D modeling…
Descriptors: Spatial Ability, Visual Perception, Models, Visualization
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Piksööt, Jaanika; Sarapuu, Tago – Journal of Educational Computing Research, 2014
This study investigates ways to enhance secondary school students' knowledge transfer in complex science domains by implementing question prompts. Two samples of students applied two web-based models to study molecular genetics--the model of genetic code (n = 258) and translation (n = 245). For each model, the samples were randomly divided into…
Descriptors: Transfer of Training, Prompting, Questioning Techniques, Genetics
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Park, Haeseong; Lawson, Daniel; Williams, Helen Easterling – Journal of Educational Computing Research, 2012
The purpose of this project is to test a theoretical model explaining the relationship between technology use, parent educational background, academic aspiration, and self-confidence as predictors of mathematics achievement across three immigrant groups. This study utilized data from the TIMSS 2007. To compare the effect size of technology use,…
Descriptors: Achievement Gap, Mathematics Achievement, Academic Achievement, Parent Background
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Bruce, Bertram C.; Levin, James A. – Journal of Educational Computing Research, 1997
Describes a new way of classifying uses of educational technologies based on a four-part division: inquiry, communication, construction, and expression. This taxonomy is compared to previous taxonomies of educational technologies. The utility of the taxonomy is tested by using it to classify "advanced applications of technologies"…
Descriptors: Classification, Comparative Analysis, Educational Research, Educational Technology
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Kelly, P. Adam – Journal of Educational Computing Research, 2005
Powers, Burstein, Chodorow, Fowles, and Kukich (2002) suggested that automated essay scoring (AES) may benefit from the use of "general" scoring models designed to score essays irrespective of the prompt for which an essay was written. They reasoned that such models may enhance score credibility by signifying that an AES system measures the same…
Descriptors: Essays, Models, Writing Evaluation, Validity
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Seidel, Robert J.; Park, Ok-Choon – Journal of Educational Computing Research, 1994
Examines changes which have occurred in the development and evaluation of intelligent tutoring systems (ITSs), speculates on future directions, and proposes a conceptual model for the development of ITSs. Topics discussed include the effectiveness of ITSs; the need for multidisciplinary efforts; and internal and external evaluation. (Contains 78…
Descriptors: Artificial Intelligence, Comparative Analysis, Computer Assisted Instruction, Evaluation Methods