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Khoirudin Asfani; Hsiu-Ling Chen – Education and Information Technologies, 2025
Although the Computer-Supported Collaborative Learning (CSCL) practice has a trend in its application, limited information exists in the literature on CSCL studies with Problem/Project-Based Learning in Computer Education. Therefore, this study reviewed 37 Social Science Citation Indexed (SSCI) articles on Problem/Project-Based CSCL practice in…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Research Methodology, Educational Technology
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
Zhang, Shunan; Che, ShaoPeng; Nan, Dongyan; Li, Yincen; Kim, Jang Hyun – Education and Information Technologies, 2023
Considering the importance of group member familiarity in collaborative learning in classroom learning environments, this study examined the impact of group member familiarity on CSCL (computer-supported collaborative learning) in a networked setting. Also, the differences between CSCL in the online environments and FtF (face-to-face)…
Descriptors: Group Dynamics, Familiarity, Cooperative Learning, Computer Assisted Instruction
Torres-Jimenez, Jose; Lescano, Germán; Lara-Alvarez, Carlos; Mitre-Hernandez, Hugo – Education and Information Technologies, 2023
Conflicts play an important role to improve group learning effectiveness; they can be decreased, increased, or ignored. Given the sequence of messages of a collaborative group, we are interested in recognizing conflicts (detecting whether a conflict exists or not). This is not an easy task because of different types of natural language…
Descriptors: Conflict, Identification, Computer Assisted Instruction, Cooperative Learning
Na Su; Abdullah Al Mamun; Mohammad Nurul Hassan Reza; Qing Yang; Muhammad Mehedi Masud – Education and Information Technologies, 2024
This study aims to address this research gap by thoroughly examining the intricate associations between the quality dimensions of web-based collaborative learning systems and student satisfaction toward continued usage of the system. We propose a theoretical model that integrates instructor quality, collaboration quality, and task technology fit…
Descriptors: Foreign Countries, College Students, Web Based Instruction, Cooperative Learning
Javier Perez-Aranda; Samuel Medina-Claros; Ricardo Urrestarazu-Capellán – Education and Information Technologies, 2024
This study examines the influence of students' individual attitude and social interactions on participation in collaborative and gamified online learning activities, as well as the influence of participating in those activities on students' online class- and test-related emotions. Based on a sample of 301 first year Economics and Law university…
Descriptors: Outcomes of Education, Cooperative Learning, Gamification, Electronic Learning
Nannan Guo – Education and Information Technologies, 2024
The introduction of modern vocal teaching techniques will promote the change in the music curricula in East Asia. The study explores the impact of the Vocal Image mobile application on musical self-esteem in East Asian youth. Encompassing 228 adolescents and young adults, it assesses the effectiveness of group activities within an interactive…
Descriptors: Music, Music Education, Computer Software, Teaching Methods
Nasser Mansour; Ceren Aras; Judith Kleine Staarman; Sarah Bader Mohsen Alotaibi – Education and Information Technologies, 2025
Augmented Reality (AR) revolutionizes educational approaches by providing an immersive experience that superimposes virtual 3D elements onto the physical environment. This integration of virtual and real worlds addresses the challenge of understanding abstract concepts by enabling three-dimensional visualization and interaction. This study aims to…
Descriptors: Elementary School Students, Elementary School Science, Computer Simulation, Science Instruction
Shaikh, Rafikh Rashid; G., Nagarjuna; Gupta, Ayush – Education and Information Technologies, 2023
Networked computers can potentially support classrooms to be more interactive. It can help students share representations amongst themselves and work together on a shared virtual activity space. In research on the role of shared screens or shared virtual workspace in learning settings, there has been less attention paid to contexts where learners…
Descriptors: Technology Uses in Education, Computer Assisted Instruction, Computer Games, Mathematics Education
Junus, Kasiyah; Santoso, Harry Budi; Ahmad, Mubarik – Education and Information Technologies, 2022
This current study investigates the use of online role-playing, in an online discussion forum, in learning the community of inquiry framework -- an area of learning covered in the Computer-Aided Instruction (CAI) course, an elective course for Computer Science undergraduate students at Universitas Indonesia. The participants were divided into…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Communities of Practice, Computer Science Education
Koranteng, Felix Nti; Sarsah, Francis K.; Kuada, Eric; Gyamfi, Samuel Adu – Education and Information Technologies, 2020
Technology has penetrated all aspects of the society in recent years. In the education sector, collaborative software such as GoogleDocs is pervasively used by both faculty and students. This is often because they enable frequent, cheaper and faster communication opportunities. Nonetheless, little evidence exists on the factors that influences its…
Descriptors: Computer Uses in Education, Computer Assisted Instruction, Computer Software, Cooperative Learning
Vega, Natalia; Stanfield, James; Mitra, Sugata – Education and Information Technologies, 2020
In the United States, literacy rates vary between socio-economic groups, and this reading gap is also a common feature in the education systems of OECD member states. To help address this reading gap previous research has identified a number of teaching strategies that have a positive impact on student learning outcomes, including the use of peer…
Descriptors: Computer Assisted Instruction, Reading Instruction, Reading Comprehension, Urban Schools
Dindar, Muhterem; Malmberg, Jonna; Järvelä, Sanna; Haataja, Eetu; Kirschner, Paul A. – Education and Information Technologies, 2020
This study investigated the interplay of temporal changes in self-regulated learning processes (i.e., behavioral, cognitive, motivational and emotional) and their relationship with academic achievement in computer-supported collaborative learning. The study employed electrodermal activity and self-report data to capture the dynamicity of…
Descriptors: Metacognition, Learning Processes, Academic Achievement, Computer Assisted Instruction
Kuhail, Mohammad Amin; Alturki, Nazik; Alramlawi, Salwa; Alhejori, Kholood – Education and Information Technologies, 2023
Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners' behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents…
Descriptors: Educational Technology, Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education
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