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Ruijie Zhou; Chong Xie; Xiuling He; Yangyang Li; Qiong Fan; Ying Yu; Zhonghua Yan – Journal of Educational Computing Research, 2024
Computational thinking (CT), an essential competency for comprehending and addressing intricate issues in the digital world, has been incorporated into curriculum planning as a goal for programming education. This study introduced flow design into programming curricula to investigate its impact on undergraduates 'CT skills during pair work. Two…
Descriptors: Undergraduate Students, Thinking Skills, Computation, Programming
Minkai Wang; Di Zhang; Jingdong Zhu; Hanjie Gu – Journal of Educational Computing Research, 2025
Scientific knowledge is often abstract and challenging, making it difficult for students to apply these concepts effectively. Digital game-based learning (DGBL) offers an engaging and immersive approach, but the fixed resources and predetermined learning paths in most games limit its ability to adapt to individual learners' needs. Large language…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Academic Achievement
Wu, Linjing; Li, Jing; Liu, Qingtang; He, Liming; Yang, Weiqing; Zhang, Yaosheng; Cheng, Yun – Journal of Educational Computing Research, 2021
The measurement of knowledge contribution in collaborative knowledge building is an important research topic in computer-supported collaborative learning. The information measures of knowledge contribution based on information theory are proposed in this study, which includes two measures: amount of information and information gain. Discourse data…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Information Theory, Measurement
Zhang, Zhaoli; Li, Zhenhua; Liu, Hai; Cao, Taihe; Liu, Sannyuya – Journal of Educational Computing Research, 2020
Online learning engagement detection is a fundamental problem in educational information technology. Efficient detection of students' learning situations can provide information to teachers to help them identify students having trouble in real time. To improve the accuracy of learning engagement detection, we have collected two aspects of…
Descriptors: Learner Engagement, Learning Analytics, Nonverbal Communication, Pattern Recognition
Hou, Huei-Tse; Keng, Su-Han – Journal of Educational Computing Research, 2021
The design and application of educational board games have been emphasized in game-based learning. The integration of educational board games and augmented reality (AR) can help provide extensive cognitive-scaffolding for learners. This study proposed a dual-scaffolding framework that integrated peer-scaffolding and cognitive-scaffolding for an AR…
Descriptors: Scaffolding (Teaching Technique), Peer Relationship, Computer Simulation, Educational Games
Hsiao, Hsien-Sheng; Tsai, Fu-Hsing; Hsu, I.-Ying – Journal of Educational Computing Research, 2020
Past studies have suggested that young people lack knowledge regarding food safety, and that food safety education is appropriate for integration into science education since it often involves science knowledge. Thus, this study combined the methods of inquiry-based and game-based learning to develop a computer detective game, called the Poison…
Descriptors: Computer Games, Educational Games, Safety Education, Food
Koc-Januchta, Marta M.; Schönborn, Konrad J.; Tibell, Lena A. E.; Chaudhri, Vinay K.; Heller, H. Craig – Journal of Educational Computing Research, 2020
Applying artificial intelligence (AI) to support science learning is a prominent aspect of the digital education revolution. This study investigates students' interaction and learning with an AI book, which enables the inputting of questions and receiving of suggested questions to understand biology, in comparison with a traditional E-book.…
Descriptors: Artificial Intelligence, Textbook Content, Science Materials, Biology
Pham, Xuan Lam; Nguyen, Thi Huyen; Chen, Gwo Dong – Journal of Educational Computing Research, 2018
In this study, we analyzed usages behaviors of 53,825 active users from 12 countries in a mobile app called "English Practice." The data indicated that the app was used most often in the evening from 8 p.m. to 9 p.m., and especially midweek, with less use at weekends and on Mondays. Learners used the app for about 5 minutes each session…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software