Publication Date
| In 2025 | 0 |
| Since 2024 | 1 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 6 |
Descriptor
Source
| Journal of Computer Assisted… | 6 |
Author
| Can Sun | 1 |
| Cheung, W. S. | 1 |
| De Wever, B. | 1 |
| Dillon, P. | 1 |
| Gaowei Chen | 1 |
| Havu-Nuutinen, S. | 1 |
| Heiberger, G. | 1 |
| Hew, K. F. | 1 |
| Junco, R. | 1 |
| Liu, R. | 1 |
| Loken, E. | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 5 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 6 |
| Postsecondary Education | 4 |
Audience
Location
| China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| National Survey of Student… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkYawen Yu; Yang Tao; Gaowei Chen; Can Sun – Journal of Computer Assisted Learning, 2024
Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning…
Descriptors: Learning Analytics, College Students, Epistemology, Computer Mediated Communication
Sun, Z.; Liu, R.; Luo, L.; Wu, M.; Shi, C. – Journal of Computer Assisted Learning, 2017
The use of new technology encouraged exploration of the effectiveness and difference of collaborative learning in blended learning environments. This study investigated the social interactive network of students, level of knowledge building and perception level on usefulness in online and mobile collaborative learning environments in higher…
Descriptors: Cooperative Learning, Blended Learning, Social Networks, Network Analysis
Valtonen, T.; Havu-Nuutinen, S.; Dillon, P.; Vesisenaho, M. – Journal of Computer Assisted Learning, 2011
This paper reports a case study for developing lecture teaching in higher education by connecting simultaneously the benefits of face-to-face teaching and social software for capturing and sharing students' lecture notes. The study was conducted with 12 university students taking a degree course on pre-primary education. Data were collected on (1)…
Descriptors: Discourse Analysis, Content Analysis, Lecture Method, Cooperation
Junco, R.; Heiberger, G.; Loken, E. – Journal of Computer Assisted Learning, 2011
Despite the widespread use of social media by students and its increased use by instructors, very little empirical evidence is available concerning the impact of social media use on student learning and engagement. This paper describes our semester-long experimental study to determine if using Twitter--the microblogging and social networking…
Descriptors: Learner Engagement, Experimental Groups, Control Groups, Class Activities
Ng, C. S. L.; Cheung, W. S.; Hew, K. F. – Journal of Computer Assisted Learning, 2012
Peer facilitation is proposed as a solution to counter limited interaction in asynchronous online discussions. However, there is a lack of empirical research on online peer facilitation. This study identifies, through cross-case comparison of two graduate-level blended courses attended by Asian Pacific students, the actual peer facilitation…
Descriptors: Interaction, Cultural Background, Graduate Study, Facilitators (Individuals)
De Wever, B.; Van Keer, H.; Schellens, T.; Valcke, M. – Journal of Computer Assisted Learning, 2009
This article examines the impact of the introduction of roles and the added value of self-assessment on students' level of knowledge construction in online asynchronous discussions in a first-year university course in instructional sciences. Students' postings in 20 discussion groups were used as the research data for this study. All messages,…
Descriptors: Computer Mediated Communication, Discussion Groups, Knowledge Level, Content Analysis
