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Showing 1 to 15 of 131 results Save | Export
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Sedigheh Karimpour; Ehsan Namaziandost; Hossein Kargar Behbahani – Journal of Educational Computing Research, 2025
As an integral part of dynamic assessment, computerized dynamic assessment (CDA) offers learners computer-assisted automated mediation. Accordingly, the possible efficacy of corrective feedback seems to be enhanced with new technologies, such as artificial intelligence tools, that offer automatic corrective feedback. Using technology-enhanced…
Descriptors: Computer Assisted Testing, Feedback (Response), Language Acquisition, Electronic Learning
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Fengfeng Ke; Chih-Pu Dai; Luke West; Yanjun Pan; Jiabei Xu – Journal of Educational Computing Research, 2024
Students frequently struggled with the mathematizing process -- forging connections between implicit and explicit mathematical thinking -- when solving a context-rich applied problem. The current research investigated how students interact with and leverage purposively designed "mathematizing" supports when solving applied math problems…
Descriptors: Game Based Learning, Educational Environment, Problem Solving, Mathematics Education
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Gamze Türkmen – Journal of Educational Computing Research, 2025
Explainable Artificial Intelligence (XAI) refers to systems that make AI models more transparent, helping users understand how outputs are generated. XAI algorithms are considered valuable in educational research, supporting outcomes like student success, trust, and motivation. Their potential to enhance transparency and reliability in online…
Descriptors: Artificial Intelligence, Natural Language Processing, Trust (Psychology), Electronic Learning
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Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Computing Research, 2023
There is a dearth of knowledge on how persuasiveness of influence strategies affects students' behaviours when using online educational systems. Persuasiveness is a term used in describing a system's capability to motivate desired behaviour. Most existing approaches for assessing the persuasiveness of a system are based on subjective measures…
Descriptors: Influences, Student Behavior, Artificial Intelligence, Electronic Learning
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Zhong, Lin – Journal of Educational Computing Research, 2023
Engagement in educational games was conceptualized as four dimensions but few studies have examined the four dimensions together. Additionally, game features vary greatly in different game genres that demand different engagement dimensions. However, engaging game features were studied in general and did not inquire specific game genres in extant…
Descriptors: Learner Engagement, Educational Games, Computer Games, Cognitive Ability
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Alblehai, Fahad M. – Journal of Educational Computing Research, 2022
The application of different virtual reality interventions has been recently gaining interest from researchers and practitioners. Due to the current COVID-19 pandemic, higher education institutions increased the use of these technologies to help create much value for educators and students. The relationship between individual experience and…
Descriptors: Undergraduate Students, Experience, Computer Simulation, Interpersonal Attraction
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Hong Li Yang; Jing Jing Xiang – Journal of Educational Computing Research, 2024
Though the relationship between mobile learning and academic achievement has increasingly gained attention by some researchers, the meta-analysis studies have yet to definitively conclude the overall impact of mobile learning on academic achievement. In order to synthesize the findings of 22 meta-analyses that are directly pertinent to the…
Descriptors: Academic Achievement, Meta Analysis, Technology Uses in Education, Electronic Learning
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Peng, Tzu-Hsiang; Wang, Tzu-Hua – Journal of Educational Computing Research, 2022
Pedagogical agents (PAs) are a crucial aspect of the e-learning environment. A PA is defined as a virtual character presented on an interface, and they are designed to promote student learning. PAs have been widely discussed in academic papers. However, an appropriate analysis framework has not been proposed because of the diversity and complexity…
Descriptors: Electronic Learning, Instructional Effectiveness, Intelligent Tutoring Systems, Evaluation Methods
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Weaver, Bradley W.; Braly, Adam M.; Lane, David M. – Journal of Educational Computing Research, 2021
Phishing emails pose a serious threat to individuals and organizations. Users' ability to identify phishing emails is critical to avoid becoming victims of these attacks. The current study examined the effectiveness of a short online phishing training program designed to help users identify phishing emails. Half of the participants were in the…
Descriptors: Identification, Deception, Electronic Mail, Training
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Ruzhang Cheng – Journal of Educational Computing Research, 2025
This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…
Descriptors: Help Seeking, English (Second Language), Second Language Learning, Electronic Learning
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Norfarizah Mohd Bakhir; SiBo Zhou; Shu Chen; Zhou Tianlong – Journal of Educational Computing Research, 2025
This study investigates the effectiveness of digital games in arts education for learning art knowledge and enhancing art interest. Art knowledge includes the topics of art history, production, esthetics, and art criticism. A quasi-experimental approach was used in this study. A 1-month course on arts education digital games was conducted with 40…
Descriptors: College Students, Art Education, Art Appreciation, Art Criticism
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Aydogdu, Seyhmus – Journal of Educational Computing Research, 2021
Student modeling is one of the most important processes in adaptive systems. Although learning is individual, a model can be created based on patterns in student behavior. Since a student model can be created for more than one student, the use of machine learning techniques in student modeling is increasing. Artificial neural networks (ANNs),…
Descriptors: Mathematical Models, Artificial Intelligence, Bayesian Statistics, Learning Processes
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Ouyang, Fan; Ling, Tengjiao; Jiao, Pengcheng – Journal of Educational Computing Research, 2022
Group cognition is a cognitive science concept that studies how groups think, learn, and work. Most research investigates group cognition as a qualitative-oriented phenomenon. From a quantitative perspective, this research proposes a measure equation of group cognition, conducts empirical research during online collaborative problem-solving, and…
Descriptors: Group Dynamics, Cognitive Processes, Cooperative Learning, Electronic Learning
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Zhang, Di; Hwang, Gwo-Jen – Journal of Educational Computing Research, 2023
Project-based learning (PBL) aims to foster students' problem-solving ability and collaboration by engaging them in completing a project in teams. Researchers have indicated the importance of guiding students to make comparisons and reflection during the process of project-based learning. Therefore, the present research proposed a peer…
Descriptors: Student Projects, Active Learning, Peer Evaluation, Problem Solving
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Rivers, Damian J.; Nakamura, Michiko; Vallance, Michael – Journal of Educational Computing Research, 2022
As education is remodelled to online solutions, instructors and students are required to adapt their teaching and learning through different forms of monitoring, regulation and assessment. This remodelling requires conceptual and philosophical reflection relating to stakeholder roles and the relationship between learners and teaching materials…
Descriptors: Electronic Learning, Self Control, Learning Strategies, Academic Achievement
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