NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Fang, Jing; Yang, Zongkai; Sun, Jianwen; Wang, Meiyi; Hu, Mengwei – Interactive Learning Environments, 2023
Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students' knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns…
Descriptors: Computer Assisted Instruction, Concept Mapping, Student Attitudes, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Shuai He; Yu Lu – Interactive Learning Environments, 2024
Currently, generative AI has undergone rapid development. Numerous studies have attested to the benefits of Gen AI in programming, mathematics and other disciplines. However, since Gen AI mostly uses English as the intrinsic training parameter, it is more effective in facilitating the teaching of courses that use international common notation, but…
Descriptors: Instructional Effectiveness, Technology Uses in Education, Artificial Intelligence, Humanities Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Zhan, Zehui; Wu, Qianyi; Lin, Zhihua; Cai, Jiayi – Australasian Journal of Educational Technology, 2021
This study investigated the effect of classroom settings on teacher-student interaction in higher education by comparing the behavioural sequences in smart classrooms (SCs) and traditional multimedia classrooms (TMCs). Twenty in-classroom teaching sessions were randomly selected from six universities in South China, involving 1,043 students and 23…
Descriptors: Technology Uses in Education, Classroom Environment, Teacher Student Relationship, Behavior Patterns
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Changsheng; Meng, Xiangzeng – International Journal of Distance Education Technologies, 2021
As a supplement to face-to-face teaching, small private online courses (SPOCs) have become increasingly popular in higher education. Nevertheless, there is a lack of research on behavioral patterns in the university SPOC. This empirical study investigates the behavioral patterns of 306 undergraduate students taking a degree course partially taught…
Descriptors: Student Behavior, Behavior Patterns, Outcomes of Education, Online Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Cheng, Mengmeng; Kinshuk – Educational Technology Research and Development, 2020
Asynchronous discussions have been widely used in education to support learning. Exploring the reasons why threads in asynchronous discussion forums die may help us improve our understanding of asynchronous discussions and lead to a more effective learning process. This study explored why threads in asynchronous discussion forums shut down. Two…
Descriptors: Foreign Countries, Behavior Patterns, Student Behavior, Computer Mediated Communication
Peer reviewed Peer reviewed
Direct linkDirect link
Zhu, Haiping; O'Sullivan, Helen – Innovations in Education and Teaching International, 2022
China is the leading source of international students for the UK. However, there are many differences between Chinese and UK classroom culture; for example, Chinese students may do well in tests and assignments in class, but they are very quiet and are often reluctant to speak up within the classroom environment. This silent behaviour can be a…
Descriptors: Foreign Students, Asians, Cultural Differences, Educational Experience
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Zhi; Zhang, Wenjing; Cheng, Hercy N. H.; Sun, Jianwen; Liu, Sannyuya – International Journal of Distance Education Technologies, 2018
As an overt expression of internal mental processes, discourses have become one main data source for the research of interactive learning. To deeply explore behavioral regularities among interactions, this article firstly adopts the content analysis method to summarize students' engagement patterns within a course forum in a small private online…
Descriptors: Discourse Analysis, Correlation, Academic Achievement, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, X.; Guo, X.; Yu, S. – Journal of Computer Assisted Learning, 2016
This study investigates the quality of course content, behavioural patterns of students and learning performance in teaching of student-generated content (SGC). A total of 49 third-year university students in educational technology participated in this study. By combining the methods of questionnaire, lag sequence analysis and interview, the study…
Descriptors: College Students, Educational Technology, Educational Quality, Course Content
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zhang, Zuochen – Canadian Journal of Learning and Technology, 2004
As new technologies become less expensive, provide greater access to various forms of multimedia, and are integrated into all aspects of everyday life, online learning environments are becoming more prevalent. Online education, as experienced through course management systems, is being heralded as meeting the needs of students' lifestyles by…
Descriptors: Online Courses, Electronic Learning, Instructional Design, Management Systems