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Showing 1 to 15 of 25 results Save | Export
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Xiaoxiao Liu; Okan Bulut; Ying Cui; Yizhu Gao – Journal of Computer Assisted Learning, 2025
Background: Process data captured by computer-based assessments provide valuable insight into respondents' cognitive processes during problem-solving tasks. Although previous studies have utilized process data to analyse behavioural patterns or strategies in problem-solving tasks, the connection between latent cognitive states and their…
Descriptors: Adults, Problem Solving, Markov Processes, Network Analysis
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Markus W. H. Spitzer; Lisa Bardach; Eileen Richter; Younes Strittmatter; Korbinian Moeller – Journal of Computer Assisted Learning, 2025
Background: Many students face difficulties with algebra. At the same time, it has been observed that fraction understanding predicts achievements in algebra; hence, gaining a better understanding of how algebra understanding builds on fraction understanding is an important goal for research and educational practice. Objectives: However, a wide…
Descriptors: Psychological Patterns, Network Analysis, Fractions, Algebra
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Weipeng Shen; Xiao-Fan Lin; Jiachun Liu; Xinxian Liang; Ruiqing Chen; Xiaoyun Lai; Xinwen Zheng – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (GenAI) chatbots extend transformative impact in higher education. Current research requires more comprehensive evaluations of the collaborative learning fostered by students and GenAI chatbots. However, existing articles have rarely explored the dynamic process of student--AI collaboration in higher…
Descriptors: Undergraduate Students, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
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Fan, Yizhou; Tan, Yuanru; Rakovic, Mladen; Wang, Yeyu; Cai, Zhiqiang; Shaffer, David Williamson; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: Select and enact appropriate learning tactics that advance learning has been considered a critical set of skills to successfully complete highly flexible online courses, such as Massive open online courses (MOOCs). However, limited by analytic methods that have been used in the past, such as frequency distribution, sequence mining and…
Descriptors: MOOCs, Students, Learning Processes, Learning Strategies
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Jun Oshima; Ritsuko Oshima; Anthony J. Taiki Kawakubo – Journal of Computer Assisted Learning, 2025
Background: This study aimed to develop and test new analytics for knowledge-building practices from the transactive perspective. Based on a literature review, network analysis was identified as a promising analytical tool for these practices. We observed two aspects of network analysis that could be further developed: the multilayers of networks…
Descriptors: Network Analysis, Concept Formation, Learning Processes, Performance
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Wenli Chen; Yiting Han; Jesmine Tan; Aileen Siew Cheng Chai; Qianru Lyu; Lyna – Journal of Computer Assisted Learning, 2024
Background: This study examined the effect of computer-supported collaborative argumentation (CSCA) on secondary school students' understanding of socio-scientific issues (SSI). Engaging students in collaborative argumentation is known to help with deepening their understanding of SSI. Methods: In this study, a mixed-method design is used to…
Descriptors: Computer Mediated Communication, Cooperative Learning, Persuasive Discourse, Science and Society
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Chander Diwaker; Neha Miglani – Journal of Computer Assisted Learning, 2025
Background: The ever-increasing computational demands call for optimal resource utilisation and system performance in the cloud environment. Organisations are increasingly migrating workloads to cloud platforms, mandating the need for efficient resource distribution. Load balancing, a critical cloud component, ensures equitable distribution of…
Descriptors: Internet, Information Storage, Educational Practices, Computation
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Xu, Wei; Dai, Taotao; Shen, Zhiyi – Journal of Computer Assisted Learning, 2022
Background: Many researchers have explored the impact of various technologies in museums on learning effects. Whether the application of technology in informal museum learning is effective, is the current issue that scholars pay more attention to. Objectives: This study will find the evidence to determine the effects of technology use on museum…
Descriptors: Effect Size, Meta Analysis, Network Analysis, Museums
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Ye, Dan; Pennisi, Svoboda – Journal of Computer Assisted Learning, 2022
Background: Online discussion is one of the commonly used tools to enhance students' interactions and engagements in online courses, but it is not clear how social presence in online discussions impacts students' learning and what kinds of interactions we should encourage. Social network analysis provides a new methodology to investigate how…
Descriptors: Discourse Analysis, Computer Mediated Communication, Discussion Groups, Social Networks
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Jelena Jovanovic; Dragan Gaševic; Lixiang Yan; Graham Baker; Andrew Murray; Danijela Gasevic – Journal of Computer Assisted Learning, 2024
Background: Learner profiles detected from digital trace data are typically triangulated with survey data to explain those profiles based on learners' internal conditions (e.g., motivation). However, survey data are often analysed with limited consideration of the interconnected nature of learners' internal conditions. Objectives: Aiming to enable…
Descriptors: Psychological Patterns, Networks, Profiles, Learning Processes
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Eunhye Shin – Journal of Computer Assisted Learning, 2025
Background: Analysing classroom dialogue is a widely used approach for understanding students' learning, often requiring team-based collaborative research. This presents a challenge for single researchers due to the labour-intensive nature of the process. Emerging advancements in large language models (LLMs) such as ChatGPT, enhance qualitative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Science Education, Coding
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Mohammad Nayef Ayasrah; Mohamad Ahmad Saleem Khasawneh; Mazen Omar Almulla; Amoura Hassan Aboutaleb – Journal of Computer Assisted Learning, 2025
Background: One area that has been dramatically changed by artificial intelligence (AI) is educational environments. Chatbots, Recommender Systems, Adaptive Learning Systems and Large Language Models have been emerging as practical tools for facilitating learning. However, using such tools appropriately is challenging. In this regard, the…
Descriptors: Test Construction, Test Validity, Test Reliability, Rating Scales
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Kruskopf, Milla; Hakkarainen, Kai; Li, Shupin; Lonka, Kirsti – Journal of Computer Assisted Learning, 2021
The rise of modern socio-digital technologies has fundamentally changed the everyday environments in which young people communicate with each other and cultivate interests. To gain a more sophisticated understanding of this phenomenon, this study provides in-depth, qualitative insights into adolescents' experiences of their socio-digital…
Descriptors: Adolescents, Computer Mediated Communication, Friendship, Interests
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Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
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Wafa Mohammed Aldighrir; Fatima's Mohamed Asiri – Journal of Computer Assisted Learning, 2025
Background: As educational institutions increasingly operate as multicultural hubs, leaders must navigate the complexities of cultural differences, language barriers and diverse learning styles in digital environments. These challenges are amplified by the lack of non-verbal cues and the asynchronous nature of online communication, which can lead…
Descriptors: Foreign Countries, Test Construction, Measures (Individuals), Test Validity
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