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Miao Chao; Weiyi Sun; Jie Liu; Jiahui Ding; Ye Zhu – Journal of Computer Assisted Learning, 2025
Background: The use of social media among students has become debatable concern due to both positive and negative effects on academic performance. Yet, understanding of the diverse patterns of social media use and their influence on actual and perceived academic performance remains limited. Objectives: This study distinguishes between academic and…
Descriptors: Social Media, Performance, Influence of Technology, Predictor Variables
Muhammad Ashraf Fauzi; Zuria Akmal Saad; Muhammad Ariff Aripin; Noraina Mazuin Sapuan – Journal of Computer Assisted Learning, 2025
Background Study: Gamification is an effective and interactive approach to engaging students in teaching and learning. As digital technology develops, higher education institutions (HEIs) must embrace and keep pace with gamification for interactive teaching and learning approaches. Objective: The purpose of this study is to review gamification in…
Descriptors: State of the Art Reviews, Gamification, Game Based Learning, Bibliometrics
Lars de Vreugd; Anouschka van Leeuwen; Marieke van der Schaaf – Journal of Computer Assisted Learning, 2025
Background: University students need to self-regulate but are sometimes incapable of doing so. Learning Analytics Dashboards (LADs) can support students' appraisal of study behaviour, from which goals can be set and performed. However, it is unclear how goal-setting and self-motivation within self-regulated learning elicits behaviour when using an…
Descriptors: Learning Analytics, Educational Technology, Goal Orientation, Learning Motivation
Alam, Sabrina Shajeen; Dubé, Adam Kenneth – Journal of Computer Assisted Learning, 2023
Background: A strong knowledge of mathematics, beginning at the elementary level, is critical for participation in today's complex world. The home may be one way to facilitate individualized mathematics instruction, given that children spend more time at home than in an academic institution. Therefore, researchers are interested to see whether the…
Descriptors: Foreign Countries, Elementary School Students, Numeracy, Family Environment
Daniels, Lia M.; Bulut, Okan – Journal of Computer Assisted Learning, 2020
In computer-based testing (CBT) environments instructors can provide students with feedback immediately. Commonly, instructors give students their percentage correct without additional descriptive feedback. Our objectives were (a) to compare students' perceived usefulness of a percentage-only score report vs. a descriptive feedback report in a CBT…
Descriptors: Computer Assisted Testing, Feedback (Response), Value Judgment, Student Attitudes
Edwards, Ordene V. – Journal of Computer Assisted Learning, 2021
This study examines the influence of perceived social presence on online graduate students' value and expectancy beliefs. Forty-nine participants enrolled in an online teacher leadership graduate program completed questionnaires that measured perceived social presence and value and expectancy beliefs. A series of simple linear regression analyses…
Descriptors: Context Effect, Social Environment, Value Judgment, Expectation
Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
Rahman, Md. H Asibur; Uddin, Mohammad Shahab; Dey, Anamika – Journal of Computer Assisted Learning, 2021
The purpose of this paper is to investigate the mediating role of online learning motivation (OLM) in the COVID-19 pandemic situation in Bangladesh by observing and comparing direct lectures (DL), instructor-learner interaction (ILI), learner-learner interaction (LLI), and internet self-efficacy (ISE) as predictors of OLM and online learning…
Descriptors: Online Courses, Learning Motivation, COVID-19, Pandemics
Pursel, B. K.; Zhang, L.; Jablokow, K. W.; Choi, G. W.; Velegol, D. – Journal of Computer Assisted Learning, 2016
Massive open online courses (MOOCs) continue to appear across the higher education landscape, originating from many institutions in the USA and around the world. MOOCs typically have low completion rates, at least when compared with traditional courses, as this course delivery model is very different from traditional, fee-based models, such as…
Descriptors: Online Courses, Graduation Rate, Delivery Systems, Models
de Barba, P. G.; Kennedy, G. E.; Ainley, M. D. – Journal of Computer Assisted Learning, 2016
Over the last 5 years, massive open online courses (MOOCs) have increasingly provided learning opportunities across the world in a variety of domains. As with many emerging educational technologies, why and how people come to MOOCs needs to be better understood and importantly what factors contribute to learners' MOOC performance. It is known that…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Electronic Learning
Suh, S.; Kim, S. W.; Kim, N. J. – Journal of Computer Assisted Learning, 2010
This study investigated the effectiveness of massive multiplayer online role-playing game (MMORPG)-based (massive multiplayer online role-playing game) instruction in elementary English education. The effectiveness of the MMORPG program was compared with face-to-face instruction and the independent variables (gender, prior knowledge, motivation…
Descriptors: Foreign Countries, Games, Prior Learning, Learning Motivation
Sang, Guoyuan; Valcke, Martin; van Braak, Johan; Tondeur, Jo; Zhu, Chang – Journal of Computer Assisted Learning, 2011
Available research has explored a wide variety of factors influencing information and communication technologies (ICT) adoption and integration in classroom teaching; however, existing research seldom centre on the combined impact of these variables. In addition, the little research available is set up in the Chinese context. The latter is…
Descriptors: Foreign Countries, Constructivism (Learning), Educational Practices, Educational Technology
Beal, C. R.; Qu, L.; Lee, H. – Journal of Computer Assisted Learning, 2008
The study was conducted to investigate the relation of adolescent students' mathematics motivation and achievement to their appropriate help-seeking and inappropriate guessing behaviour while using instructional software. High school students (n = 90) completed brief assessments of mathematics motivation and then worked with software for geometry…
Descriptors: Mathematics Achievement, Student Motivation, Courseware, Mathematics Teachers
Artino, A. R. – Journal of Computer Assisted Learning, 2008
Many would agree that learning on the Web--a highly autonomous learning environment--may be difficult for individuals who lack motivation and self-regulated learning skills. Using a social cognitive view of academic motivation and self-regulation, the objective of the present study was to investigate the relations between students' motivational…
Descriptors: Self Efficacy, Online Courses, Student Motivation, Educational Environment