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Paul Kim; Wilson Wang; Curtis J. Bonk – Journal of Educational Computing Research, 2025
Following the launch of the generative AI Web application, Ask.SMILE, designed to evaluate the cognitive levels of questions asked, 2559 educators generated 25,973 question-feedback sets over a three-month period, with an average of over 10 questions per participant. Analyses revealed a significant improvement in question quality from initial…
Descriptors: Artificial Intelligence, Technology Uses in Education, Test Wiseness, Test Items
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Noah L. Schroeder; Robert O. Davis; Eunbyul Yang – Journal of Educational Computing Research, 2025
Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems
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Shan Li; Zuer Liu; Mengling Qiu; Jiaxin Huang; Juan Zheng; Guozhu Ding – Journal of Educational Computing Research, 2024
Educational robots represent a unique form of teacher presence. Exploring how the communication features of robot instructors affect student learning experience could contribute to the advancement of educational robots. This study examined the impact of speech rate, voice type, and emotional tone of robots on students' cognitive load, attitudes…
Descriptors: Educational Technology, Technology Uses in Education, Cognitive Processes, Difficulty Level
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Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
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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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Gila Apelboim-Dushnitzky; Oren Tova – Journal of Educational Computing Research, 2025
This study tested the potential of a technological intervention procedure for promoting letter-naming and initial-phoneme detection skills among preschoolers at risk for Specific Learning Disorder. The study rational is based on evidence for paired associated learning of visual-verbal stimuli, integrated with the use of a tangible technological…
Descriptors: Preschool Children, Dyslexia, At Risk Students, Alphabets
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Gorjón, Lucía; Osés, Ainhoa – Journal of Educational Computing Research, 2023
The increasing presence of technologies at school has triggered a vivid debate on the way ICT influences students' learning process. Using PISA 2018 data for 15-year-old students and hierarchical linear models, we find an inverted U-shaped relationship between ICT use at school and students' performance in mathematics in 22 OECD countries. In all…
Descriptors: Foreign Countries, International Assessment, Secondary School Students, Educational Technology
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Xiaojing Weng; Huiyan Ye; Yun Dai; Oi-lam Ng – Journal of Educational Computing Research, 2024
A growing body of research is focusing on integrating artificial intelligence (AI) and computational thinking (CT) to enhance student learning outcomes. Many researchers have designed instructional activities to achieve various learning goals within this field. Despite the prevalence of studies focusing on instructional design and student learning…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Technology Integration
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Chang, Chun-Chun; Hwang, Gwo-Jen; Tu, Yun-Fang – Journal of Educational Computing Research, 2022
Concept maps have been verified as an effective learning tool in technology-supported learning environments, in particular, in K-12 education. To enable educational technology researchers and school teachers to thoroughly know the research foci and applications of concept maps in technology-supported learning environments for K-12 education…
Descriptors: Concept Mapping, Elementary Secondary Education, Educational Technology, Technology Uses in Education
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Chih-Chung Chien; Yen-Ting Ho; Huei-Tse Hou – Journal of Educational Computing Research, 2024
In the post-pandemic era, distance education and training modes without space constraints are gradually becoming a new trend in training. Game-based training combined with situational simulations is a potential approach. This study used a simulation company scenario and a decision-making analysis task of promotion assessment as the game context,…
Descriptors: Decision Making, Vignettes, Interactive Video, Scaffolding (Teaching Technique)
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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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Yu, Qing; Yu, Kun – Journal of Educational Computing Research, 2023
Body movements are regarded as part of the learning process. With the evolution of motion-sensing technology (MST) (e.g., Kinect, Xtion Pro, and Leap Motion), educational researchers try to explore the effect of MST on learning. However, the effect of MST on learning performance is still unclear. This is the first meta-analysis that aims to…
Descriptors: Human Body, Motion, Information Technology, Computer Software
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Fangzheng Zhao; Richard E. Mayer; Nicoletta Adamo-Villani; Christos Mousas; Minsoo Choi; Luchcha Lam; Magzhan Mukanova; Klay Hauser – Journal of Educational Computing Research, 2024
This study examined how well people can recognize and relate to animated pedagogical agents of varying ethnicities/races and genders. For both Study 1 (realistic-style agents) and Study 2 (cartoon-style agents), participants viewed brief video clips of virtual agents of varying racial/ethnic categories and gender types and then identified their…
Descriptors: Race, Sex, Ethnicity, Animation
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Hoi, Vo Ngoc; Hang, Ho Le – Journal of Educational Computing Research, 2022
Facebook has been used not only as a popular social network service among college students but also as a platform for promoting learning and teaching effectiveness in different subject areas. While previous studies have demonstrated the utility of Facebook for enhancing student engagement, little is known about whether there are different profiles…
Descriptors: Social Media, Educational Technology, Technology Uses in Education, Predictor Variables
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Yu, Rushi; Wang, Meishu; Hu, Jie – Journal of Educational Computing Research, 2023
The age of information and communication technology (ICT) has witnessed the prevalence of computer-based reading. Previous studies yielded mixed results concerning the relationship between ICT perceived competence, ICT use and digital reading performance, and the underlying mechanism was rarely explored. This study aimed to explore the…
Descriptors: Technological Literacy, Competence, Self Concept, Reading Skills
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