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Lubna Hakami; Davinia Hernández-Leo; Ishari Amarasinghe; Batuhan Sayis – British Journal of Educational Technology, 2024
Despite the growing interest in using multimodal data to analyse students' actions in Computers-Supported Collaborative Learning (CSCL) settings, studying teacher's orchestration load in such settings remains overlooked. The notion of classroom orchestration, and orchestration load, offer a lens to study the implications of increasingly complex…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Teacher Responsibility, Faculty Workload
Olga Viberg; Martine Baars; Rafael Ferreira Mello; Niels Weerheim; Daniel Spikol; Cristian Bogdan; Dragan Gasevic; Fred Paas – Journal of Computer Assisted Learning, 2024
Background Study: Peer feedback has been used as an effective instructional strategy to enhance students' learning in higher education. Objectives: This paper reports on the findings of an explorative study that aimed to increase our understanding of the nature and role of peer feedback in the students' learning process in a computer-supported…
Descriptors: Feedback (Response), Peer Evaluation, Computer Assisted Instruction, Cooperative Learning
René Lobo-Quintero; Roberto Sánchez-Reina; Davinia Hernández-Leo – Journal of Learning Analytics, 2024
Computer-Supported Collaborative Learning (CSCL) is recognized as an effective methodology for fostering social interaction mediated by technology in ways that potentially trigger learning. The successful implementation of CSCL hinges on factors such as the scripting mechanics for activity sequencing proposed by Collaborative Learning Flow…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Learner Engagement, Student Participation
Dengkang Chen; Yi Zhang; Heng Luo; Zhifang Zhu; Jingsi Ma; Yuru Lin – International Journal of Computer-Supported Collaborative Learning, 2024
Group awareness (GA) is essential for computer-supported collaborative learning (CSCL), as it informs learners about other group members' activities, knowledge, and emotions. A key advantage of GA support is that it can collect, process, and visualize GA information, which provides a basis for students' reflection and adjustment during…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Group Dynamics, Academic Achievement
A Narrative of Meeting a Computer: A Cognitive-Ethnographic Study of Self-Directed Computer Learning
Buket Taskin Alkan; Hakan Tüzün – Education and Information Technologies, 2024
In this study, the self-directed learning (SDL) processes of children who have never used a computer before were examined within the cultural context they live in. In accordance with the subject of the research, a village, located in a rural area of the Southeastern Anatolia region in Turkey, where crucial digital divide and low socioeconomic…
Descriptors: Independent Study, Computer Assisted Instruction, Rural Areas, Foreign Countries
Linyuan Wang; Arjen de Vetten; Wilfried Admiraal; Roeland van der Rijst – Education and Information Technologies, 2025
In this study, we investigated the relationship between perceived learner control and student engagement in a blended course. Data were collected from 110 s-year bachelor students through weekly questionnaires to gather information about how they perceived their learner control and engagement in various study activities, including reading…
Descriptors: Undergraduate Students, Blended Learning, Teaching Methods, Student Empowerment
Pankaj Chejara; Luis P. Prieto; Yannis Dimitriadis; Maria Jesus Rodriguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…
Descriptors: Learning Analytics, Attribution Theory, Acoustics, Artificial Intelligence
Charlotte Beal; Rolf Steier – International Journal of Computer-Supported Collaborative Learning, 2024
In this study, we investigate how pre-service teachers' group dialogues emerged and intersected across time and space as students collaboratively constructed a video-based mind map to prepare for oral exams in a pedagogy course. The study was conducted as part of a design-based research project investigating the ways that video-based mind maps can…
Descriptors: Video Technology, Technology Uses in Education, Cooperative Learning, Concept Mapping
Navjot Singh – ProQuest LLC, 2024
The rapid growth of edge computing, 5G, and IoT technologies has led to a significant increase in distributed data, creating both opportunities and challenges for machine learning. Federated learning has emerged as a promising approach to enable collaborative model training across decentralized devices while not sharing user data. However,…
Descriptors: Artificial Intelligence, Cooperative Learning, Communications, Efficiency
Mary-Ann Isaacs; Jo Tondeur; Sarah Howard; Magdalena Claro; Johan van Braak – Technology, Pedagogy and Education, 2024
Digital storytelling (DST) is an educational strategy that has been shown to be capable of developing a wide range of skills. The focus of this review is to examine the relationship between this strategy and the development of 21st-century skills, a highly relevant notion in today's educational systems. The findings combine qualitative evidence…
Descriptors: Story Telling, Computer Assisted Instruction, Computer Uses in Education, 21st Century Skills
Wenli Chen; Hua Hu; Qianru Lyu; Lishan Zheng – Journal of Computer Assisted Learning, 2024
Background: Critical thinking is one of the 21st Century competencies for students. While previous research acknowledges the potential of peer feedback to enhance critical thinking skills, particularly within computer-supported collaborative learning (CSCL) environments, there is limited understanding of which specific aspects of critical thinking…
Descriptors: Critical Thinking, Peer Evaluation, Feedback (Response), Cooperative Learning
Mimi Li – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This paper discusses the increasingly prominent role of ChatGPT in providing feedback and assessment for L2 writing in the digital age. It reviews representative studies that address five research strands about the use of ChatGPT in L2 writing contexts. After a critical evaluation of the existing literature, the author extensively explains four…
Descriptors: Second Language Learning, Feedback (Response), Evaluation, Artificial Intelligence
Franco Ripa di Meana; Andrea Guidi; Alberto Giretti; Massimo Vaccarini; Matteo Zambelli; Dilan Durmus – International Association for Development of the Information Society, 2024
This paper presents a methodology for exploring the potential of artificial intelligence in supporting divergent thinking within academic arts education. Thirteen students from Rome Fine Arts Academy engaged with excerpts from Shakespeare's "Hamlet," using artificial intelligence (AI) tools such as Kobi, Chat GPT, and Midjourney to…
Descriptors: Foreign Countries, College Students, Art Education, Artificial Intelligence
Chen Li; Yue Jiang; Peter H. F. Ng; Yixin Dai; Francis Cheung; Henry C. B. Chan; Ping Li – IEEE Transactions on Learning Technologies, 2024
Computer-supported collaborative learning aims to use information technologies to support collaborative knowledge construction by practicing the relevant pedagogical approaches, especially in the distance learning setting. The enabling technologies are fast advancing, and the need for solutions during the COVID-19 global pandemic led to the…
Descriptors: Computer Simulation, Computer Assisted Instruction, Cooperative Learning, Technology Uses in Education
Wenli Chen; Si Zhang; Zhongling Pi; Jesmine S. H. Tan; Yun Wen; Chee-Kit Looi; Jennifer Yeo; Qingtang Liu – Technology, Pedagogy and Education, 2024
This study investigates the role of a collaboration script, the Funnel Model, in supporting students' computer-supported collaborative scientific argumentation, and how the students appropriated the collaboration script in scientific argumentation. In this exploratory case study, a class of 33 Secondary grade four students went through four phases…
Descriptors: Cooperative Learning, Scripts, Computer Assisted Instruction, Persuasive Discourse