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Changqin Huang; Jianhui Yu; Fei Wu; Yi Wang; Nian-Shing Chen – Journal of Computer Assisted Learning, 2024
Background: Investigating emotion sequence patterns in the posts of discussion forums in massive open online courses (MOOCs) holds a vital role in shaping online interactions and impacting learning achievement. While the majority of research focuses on the relationship between emotions and interactions in MOOC forum discussions, research on…
Descriptors: MOOCs, Discussion Groups, Computer Mediated Communication, Learning Processes
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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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Guo, Pengyue; Saab, Nadira; Wu, Lin; Admiraal, Wilfried – Journal of Computer Assisted Learning, 2021
Project-based learning (PjBL) engages students in knowledge acquisition, application, and construction through artefact development. Based on the Community of Inquiry framework, this study characterized college students' social and cognitive presences in online PjBL and examined how presence was related to their academic performance. Twenty-four…
Descriptors: Communities of Practice, Inquiry, Active Learning, Electronic Learning
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Chen, Bodong; Huang, Tianhui – Journal of Computer Assisted Learning, 2019
Asynchronous online discussions are broadly used to support social learning. This paper reports on an undergraduate class's online discussion activities over one semester. Applying social network analysis, this study revealed a participation gap among students reflected by their varied levels of network prestige. The low-prestige group initiated…
Descriptors: Asynchronous Communication, Discussion Groups, Undergraduate Students, Social Networks
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Dennis A. Rivera; Mariane Frenay; Magali Paquot – Journal of Computer Assisted Learning, 2024
Background: Forums in massive open online courses (MOOCs) enable written exchanges on course content; hence, they can potentially facilitate learners' cognitive engagement. Given the myriad of MOOC forum messages, this engagement is commonly analysed automatically through the linguistic features of the messages. Assessing linguistic features of…
Descriptors: MOOCs, Learner Engagement, Group Discussion, Language Usage
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Caballé, S.; Mora, N.; Feidakis, M.; Gañán, D.; Conesa, J.; Daradoumis, T.; Prieto, J. – Journal of Computer Assisted Learning, 2014
Many researchers argue that students must be meaningfully engaged in the learning resources for effective learning to occur. However, current online learners still report a problematic lack of attractive and challenging learning resources that engage them in the learning process. This endemic problem is even more evident in online collaborative…
Descriptors: Cooperative Learning, Electronic Learning, Learner Engagement, Educational Resources
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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
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Allan Mesa Canonigo – Journal of Computer Assisted Learning, 2024
Motivation: This research investigates the transformative impact of integrating AI into mathematics education, aiming to enhance students' conceptual understanding and self-efficacy. It addresses the crucial need for innovative teaching methods in response to contemporary challenges in education and aims to fill gaps in understanding the potential…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Mathematics Instruction, Problem Solving
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Kim, Min Kyu; Lee, In Heok; Wang, Yinying – Journal of Computer Assisted Learning, 2020
In this study, we examined the role of leadership styles and multi-dimensional learner engagement in how students emerge as learning leaders in asynchronous online discussions. Grounded in the conceptual framework of two dominant leadership styles of transformational and transactional leadership, this study applies the two leadership…
Descriptors: Student Leadership, Group Discussion, Computer Mediated Communication, Leadership Styles
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Chen, Jyun-Chen; Huang, Yun; Lin, Kuen-Yi; Chang, Yu-Shan; Lin, Hung-Chang; Lin, Chien-Yu; Hsiao, Hsien-Sheng – Journal of Computer Assisted Learning, 2020
This study combined virtual reality (VR) technology, the 6E (Engage, Explore, Explain, Engineer, Enrich, and Evaluate) model, and STEM (Science, Technology, Engineering, and Mathematics) education to develop a hands-on activity aimed at helping students to achieve "learning by doing." The participants were 162 tenth-grade students,…
Descriptors: Hands on Science, Computer Simulation, STEM Education, Experiential Learning
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Wang, X.; Li, M.; Wang, M.; Cui, S.; Shi, L.; Duan, L.; Wang, T. – Journal of Computer Assisted Learning, 2018
This study is to examine the attitudes of students towards the case studies based on mobile messaging in a pharmacotherapy introduction class. Case studies were divided into 4 groups, with 30 pharmacy students each group. Each group was required to share pharmaceutical care plans on WeChat by posting messages. A post-activity survey was conducted:…
Descriptors: Telecommunications, Handheld Devices, Computer Software, Case Studies
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Lin, Feng; Chan, Carol K. K. – Journal of Computer Assisted Learning, 2018
This study characterized students' online collaborative discourse from a theory-building perspective and examined its relation to epistemic and conceptual understanding. Fifty-two fifth graders' Knowledge Forum discussions on electricity were analysed. Discourse moves were coded within the inquiry threads, and two key epistemic patterns were…
Descriptors: Computer Mediated Communication, Energy, Discourse Analysis, Cooperative Learning
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Thai, Ngoc Thuy Thi; De Wever, Bram; Valcke, Martin – Journal of Computer Assisted Learning, 2020
This study compares four learning environments: face-to-face learning (F2F), fully e-learning (EL), blended learning (BL), and flipped classroom (FC) with respect to students' learning performance. Moreover, this present research studies changes in perceived flexibility, intrinsic motivation, self-efficacy beliefs of students, and the interaction…
Descriptors: Blended Learning, Teaching Methods, Comparative Analysis, Self Efficacy
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Goggins, S. P.; Galyen, K. D.; Petakovic, E.; Laffey, J. M. – Journal of Computer Assisted Learning, 2016
This exploratory study focuses on the design and evaluation of teaching analytics that relate social learning structure with performance measures in a massive open online course (MOOC) prototype environment. Using reflexive analysis of online learning trace data and qualitative performance measures we present an exploratory empirical study that:…
Descriptors: Online Courses, Electronic Learning, Group Dynamics, Social Structure
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Manca, S.; Delfino, M.; Mazzoni, E. – Journal of Computer Assisted Learning, 2009
Analysis of interaction patterns is one of the most important indicators of quality of learning in educational web forums. Social network analysis (SNA) is gradually assuming importance in the study of interaction patterns as it focuses on the analysis of the interrelationships between individuals, thus providing a holistic perspective on group…
Descriptors: Semantics, Network Analysis, Interaction, Social Networks
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