NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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