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Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
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Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
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Ba, Shen; Stein, David; Liu, Qingtang; Long, Taotao; Xie, Kui; Wu, Linjing – Journal of Educational Computing Research, 2021
Despite the continuous emphasis on emotion in multimedia learning, it was still unclear how pedagogical agent emotional cues might affect learning. In the present study, a between-subjects experiment was performed to examine the effects of a pedagogical agent with dual-channel emotional cues on learners' emotions, cognitive load, and knowledge…
Descriptors: Cognitive Ability, Transfer of Training, Teaching Methods, Multimedia Instruction
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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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Ho, Tu-Kuang; Lin, Yu-Tzeng – Journal of Educational Computing Research, 2016
Group identity is a critical component in developing effective classroom management. While there have been numerous studies on group identity, they have primarily focused on its effects on the physical classroom entity. Advances in information technology, however, have enabled the creation of virtual communities, which have become a vital channel…
Descriptors: Group Dynamics, Classroom Techniques, Online Courses, Simulated Environment
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Guo, Yan Ru; Goh, Dion Hoe-Lian – Journal of Educational Computing Research, 2015
Over the past decade, computer games and other interactive technologies have shown great potential when used in innovative ways to enhance learning. It is now known that learning is associated not only with cognitive ability but also with affect. The incorporation of affective embodied pedagogical agents (EPAs) in computer programs for learning…
Descriptors: Meta Analysis, Affective Behavior, Educational Technology, Instructional Effectiveness
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Nakic, Jelena; Granic, Andrina; Glavinic, Vlado – Journal of Educational Computing Research, 2015
This study brings an evidence-based review of user individual characteristics employed as sources of adaptation in recent adaptive learning systems. Twenty-two user individual characteristics were explored in a systematically designed search procedure, while 17 of them were identified as sources of adaptation in final selection. The content…
Descriptors: Individual Characteristics, Cognitive Ability, Educational Technology, Web Based Instruction
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Locatelli, Sara M.; Kluwe, Katharina; Bryant, Fred B. – Journal of Educational Computing Research, 2012
Studies have found that general use of Facebook influences subjective well-being. However, fewer studies have explored the impact of specific use behaviors, such as information posted in status updates. The current study uses data collected from 251 Facebook-using undergraduate students through an online survey, and examines the valence and…
Descriptors: College Students, Web 2.0 Technologies, Web Sites, Social Networks