Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 10 |
Descriptor
Source
Journal of Computer Assisted… | 10 |
Author
Anand Muni Mishra | 1 |
Anupriya | 1 |
Bensen, H. | 1 |
Bråten, Ivar | 1 |
Can Sun | 1 |
Chiang, Feng-Kuang | 1 |
Deepak Bagga | 1 |
Gaowei Chen | 1 |
Gaurav Sharma | 1 |
Haake, U. | 1 |
Hagerman, Michelle Schira | 1 |
More ▼ |
Publication Type
Journal Articles | 10 |
Reports - Research | 10 |
Information Analyses | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 3 |
Elementary Education | 1 |
Grade 6 | 1 |
Intermediate Grades | 1 |
Middle Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kiili, Carita; Räikkönen, Eija; Bråten, Ivar; Strømsø, Helge I.; Hagerman, Michelle Schira – Journal of Computer Assisted Learning, 2023
Background: Previous research indicates that students lack sufficient online credibility evaluation skills. However, the results are fragmented and difficult to compare as they are based on different types of measures and indicators. Consequently, there is no clear understanding of the structure of credibility evaluation. Objectives: The present…
Descriptors: Grade 6, Credibility, Information Literacy, Evaluation
Shilpi Harnal; Gaurav Sharma; Anupriya; Anand Muni Mishra; Deepak Bagga; Nikhil Saini; Pankaj Kumar Goley; Kumar Anupam – Journal of Computer Assisted Learning, 2024
Background: An innovative and interactive real-world environment can be presented with augmented reality (AR) that comprises digital visual elements, audio, or other sensory information delivered via technology to enhance one's experience. AR has numerous potential applications in various everyday fields. The education sector is one such arena…
Descriptors: Bibliometrics, Computer Simulation, Artificial Intelligence, Educational Technology
Chiang, Feng-Kuang; Zhu, Dan; Yu, Wenhao – Journal of Computer Assisted Learning, 2022
Background: During the COVID-19 pandemic, online learning has played an increasingly crucial role in the educational system. Academic dishonesty (AD) in online learning is a challenging problem that represents a complex psychological and social phenomenon for learners. However, there is a lack of comprehensive and systematic reviews of AD in…
Descriptors: Cheating, Research Reports, Intervention, COVID-19
Yawen 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
Holmgren, R.; Haake, U.; Söderström, T. – Journal of Computer Assisted Learning, 2017
This article presents a summary analysis of a 5-year study on the implementation of a technology-supported distance firefighter training programme in Sweden, focused on the firefighter students' learning processes regarding challenges, contradictions and changes that occurred during the implementation period. With activity theory as the…
Descriptors: Longitudinal Studies, Distance Education, Fire Protection, Technology Uses in Education
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
Maycock, Keith W.; Keating, J. G. – Journal of Computer Assisted Learning, 2017
This experimental study investigates the effect on the examination performance of a cohort of first-year undergraduate learners undertaking a Unified Modelling Language (UML) course using an adaptive learning system against a control group of learners undertaking the same UML course through a traditional lecturing environment. The adaptive…
Descriptors: Experimental Groups, Metadata, Computer Assisted Instruction, Undergraduate Students
Kurt, M.; Bensen, H. – Journal of Computer Assisted Learning, 2017
This paper moves away from reminiscent mechanical repetition and drills, which were in vogue when teaching vocabulary before the rise of technology. With the support of technology, innovative methodologies that are more effective and enjoyable can be implemented into vocabulary teaching. In this particular context, there seems to be a lack of…
Descriptors: Visualization, Technology Integration, Vocabulary Development, Video Technology
Three Interaction Patterns on Asynchronous Online Discussion Behaviours: A Methodological Comparison
Jo, I.; Park, Y.; Lee, H. – Journal of Computer Assisted Learning, 2017
An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student-centered learning. In the wealth of AOD research, this study evaluated how students' behavior on AOD influences their academic outcomes. This case study compared the differential analytic methods including web log mining, social network analysis…
Descriptors: Computer Mediated Communication, Interaction Process Analysis, Undergraduate Students, Predictor Variables
Lin, C-Y.; Reigeluth, C. M. – Journal of Computer Assisted Learning, 2016
While educators value wikis' potential, wikis may fail to support collaborative constructive learning without careful scaffolding. This article proposes literature-based instructional methods, revised based on two expert instructors' input, presents the collected empirical evidence on the effects of these methods and proposes directions for future…
Descriptors: Foreign Countries, Web Sites, Collaborative Writing, Cooperative Learning