Publication Date
In 2025 | 0 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 9 |
Descriptor
Source
Journal of Computer Assisted… | 9 |
Author
Alexander Renkl | 1 |
Alexandron, Giora | 1 |
Burbano Astaiza, Claudia… | 1 |
Callaghan, M. N. | 1 |
Cheng Liu | 1 |
Chung, H. C. | 1 |
Dumontheil, Iroise | 1 |
Hanbing Yan | 1 |
Hsiung, C .M. | 1 |
Inga Glogger-Frey | 1 |
Jaramillo-Morillo, Daniel | 1 |
More ▼ |
Publication Type
Journal Articles | 9 |
Reports - Research | 8 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Elementary Education | 2 |
Grade 5 | 1 |
Grade 6 | 1 |
High Schools | 1 |
Intermediate Grades | 1 |
Middle Schools | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
Zirou Lin; Hanbing Yan; Li Zhao – Journal of Computer Assisted Learning, 2024
Background: Peer assessment has played an important role in large-scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop…
Descriptors: Peer Evaluation, Automation, Grading, Models
Jaramillo-Morillo, Daniel; Ruipérez-Valiente, José A.; Burbano Astaiza, Claudia Patricia; Solarte, Mario; Ramirez-Gonzalez, Gustavo; Alexandron, Giora – Journal of Computer Assisted Learning, 2022
Background: Small private online courses (SPOCs) are one of the strategies to introduce the massive open online courses (MOOCs) within the university environment and to have these courses validates for academic credit. However, numerous researchers have highlighted that academic dishonesty is greatly facilitated by the online context in which…
Descriptors: Learning Analytics, Cheating, Integrated Learning Systems, Intervention
Teresa M. Ober; Ying Cheng; Matthew F. Carter; Cheng Liu – Journal of Computer Assisted Learning, 2024
Background: Students' tendencies to seek feedback are associated with improved learning. Yet, how soon this association becomes robust enough to make predictions about learning is not fully understood. Such knowledge has strong implications for early identification of students at-risk for underachievement via digital learning platforms.…
Descriptors: Academic Achievement, Feedback (Response), Student Behavior, At Risk Students
Rocío Mínguez-Pardo; Javier Del Olmo-Muñoz; Sergio Tirado-Olivares; José Antonio González-Calero – Journal of Computer Assisted Learning, 2024
Background: The present study delves into the debate surrounding the effectiveness of homework, focusing specifically on the use of online homework in teaching decimal numbers to 5th and 6th grade primary school students. It highlights the challenges students face in representing and identifying decimal numbers, a concept that is often difficult…
Descriptors: Electronic Learning, Homework, Mathematics Instruction, Number Concepts
de Mooij, Susanne M. M.; Raijmakers, Maartje E. J.; Dumontheil, Iroise; Kirkham, Natasha Z.; van de Maas, Han L. J. – Journal of Computer Assisted Learning, 2021
While response time and accuracy indicate overall performance, their value in uncovering cognitive processes, underlying learning, is limited. A promising online measure, designed to track decision-making, is computer mouse tracking, where mouse attraction towards different locations may reflect the consideration of alternative response options.…
Descriptors: Error Patterns, Identification, Computer Peripherals, Computer Uses in Education
Callaghan, M. N.; Long, J. J.; van Es, E. A.; Reich, S. M.; Rutherford, T. – Journal of Computer Assisted Learning, 2018
As more attention is placed on designing digital educational games to align with schools' academic aims (e.g., Common Core), questions arise regarding how professional development (PD) may support teachers' using games for instruction and how such integration might impact students' achievement. This study seeks to (a) understand how teachers use…
Descriptors: Computer Games, Teaching Methods, Computer Assisted Instruction, Faculty Development
Hsiung, C .M.; Luo, L. F.; Chung, H. C. – Journal of Computer Assisted Learning, 2014
Cooperative learning has many pedagogical benefits. However, if the cooperative learning teams become ineffective, these benefits are lost. Accordingly, this study developed a computer-aided assessment method for identifying ineffective teams at their early stage of dysfunction by using the Mahalanobis distance metric to examine the difference…
Descriptors: Cooperative Learning, Teamwork, Identification, Instructional Effectiveness
Li, Z. – Journal of Computer Assisted Learning, 2013
Much of the research in educational technology with a primary concern over how technology enhances learning has been criticized as privileging the immediate learning settings over the other dimensions of learners' social life and the wider social and economic contexts in which learning and technology are located. The ability to develop a rich…
Descriptors: Foreign Countries, Electronic Learning, Educational Theories, Theory Practice Relationship