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Showing 16 to 30 of 392 results Save | Export
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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
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Shunmeng Chen – Journal of Computer Assisted Learning, 2025
Background: Computer-mediated writing classes have experienced a significant increase in popularity in recent years, serving as an effective modality for enhancing writing skills within an online framework. Objectives: This study seeks to bridge the gap in the literature by investigating the effectiveness of cognitive, social, and group-awareness…
Descriptors: Cognitive Processes, Difficulty Level, Computer Assisted Instruction, Writing Instruction
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Qianwen Tang; Wenbo Deng; Yidan Huang; Shuaijie Wang; Hao Zhang – Journal of Computer Assisted Learning, 2025
Background: Generative Artificial Intelligence (AI) shows promise in enhancing personalised learning and improving educational efficiency. However, its integration into education raises concerns about misinformation and over-reliance, particularly among adolescents. Teacher supervision plays a critical role in mitigating these risks and ensuring…
Descriptors: Artificial Intelligence, Teaching Methods, Educational Quality, Technology Integration
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Zhe Wang; Sara Abercrombie; Rachel Wong; Yuxin Ren; Shiting Dai – Journal of Computer Assisted Learning, 2024
Background: There are two major types of pictures that have been the focus of multimedia learning research, namely, seductive and interpretational pictures. Despite an increasing body of literature documenting the effects of either seductive or interpretational pictures added to text-based materials, there is a paucity of research explicitly…
Descriptors: Electronic Learning, Computers, Computer Assisted Instruction, Visual Aids
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Eriksson, Miikka; Kärkkäinen, Sirpa; Tahvanainen, Ville – Journal of Computer Assisted Learning, 2023
Background: Technologies may successfully be used to mediate, aid, and diversify learning, but several studies indicate that technologies cannot substitute outdoor learning and its experiential nature. To halt human-induced biodiversity loss, teachers should acquire a deep understanding of the principles of ecology, including the challenging…
Descriptors: Computer Assisted Instruction, Outdoor Education, Student Teachers, Biodiversity
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Lu Ding; Meehyun Yoon; Dongho Kim – Journal of Computer Assisted Learning, 2024
Background: While the effectiveness of tutoring-style videos has been reported in previous studies conducted in laboratories, how these types of videos facilitate students' learning experiences and achievement has not been much explored in prior studies, which prevents discussion on how to design such tutoring-style videos. Objectives: In this…
Descriptors: Tutoring, Video Technology, Computer Assisted Instruction, Teaching Methods
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Juanjuan Chen; Minhong Wang; Tina A. Grotzer; Chris Dede – Journal of Computer Assisted Learning, 2024
Background: In scientific inquiry learning, students often have difficulties conducting hypothetical reasoning with multiple intertwined variables. Concept maps have a potential to facilitate complex thinking and reasoning. However, there is little investigation into the content of student-constructed concept maps and its association with inquiry…
Descriptors: Concept Mapping, Task Analysis, Inquiry, Active Learning
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Chevalère, Johann; Cazenave, Loreleï; Berthon, Mickaël; Martinez, Ruben; Mazenod, Vincent; Borion, Marie-Claude; Pailler, Delphine; Rocher, Nicolas; Cadet, Rémi; Lenne, Catherine; Maïonchi-Pino, Norbert; Huguet, Pascal – Journal of Computer Assisted Learning, 2022
Background: As educational digital technologies are increasingly being used in schools, past research left unanswered the question of these technologies' impact on the socioeconomic achievement gap even when equal access is guaranteed. Objectives: The objectives of the present study are to examine whether and how the socioeconomic achievement gap…
Descriptors: Computer Assisted Instruction, Socioeconomic Status, Achievement Gap, Conventional Instruction
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Dana Kube; Sebastian Gombert; Nathalie John; Joshua Weidlich; Karel Kreijns; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: Gender and gender diversity are group features affecting social interaction and are critical for gender-inclusive and equitable education. As such, the role of gender and gender diversity is of particular relevance to computer-supported collaborative learning (CSCL). However, up until now, research on this topic in CSCL remains scarce.…
Descriptors: Sexual Identity, Sex Role, Gender Differences, Gender Issues
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Kittel, Anne Frieda Doris; Seufert, Tina – Journal of Computer Assisted Learning, 2023
Background: Most workplace learning is informal. However, some employees struggle to execute informal learning strategies effectively because they lack the necessary knowledge or skills or use their knowledge and skills ineffectively or not at all. Objectives: We examined the effects of computer-based micro-learning interventions that provide…
Descriptors: Informal Education, Learning Strategies, Workplace Learning, Job Skills
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Jamshidifarsani, Hossein; Tamayo-Serrano, Paul; Garbaya, Samir; Lim, Theodore – Journal of Computer Assisted Learning, 2021
Training design for automatic skills has a vast domain of application, such as education, physical and cognitive rehabilitation, as well as sports, arts and professional training. Gamification concept used in technology-assisted training has the potential to increase motivation, engagement and adherence to the training programme. Currently, the…
Descriptors: Game Based Learning, Models, Computer Assisted Instruction, Task Analysis
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Toonder, Scott; Sawyer, L. Brook – Journal of Computer Assisted Learning, 2021
Research has demonstrated that computer assisted instruction (CAI) can have positive impacts on various literacy skills, however its impact on specific comprehension skills is currently unclear. This study employed a small-scale randomized control trial to examine the impact of a researcher-developed adaptive computer assisted instructional…
Descriptors: Computer Assisted Instruction, Teaching Methods, Reading Comprehension, Elementary School Students
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Maertens, Rien; Van Petegem, Charlotte; Strijbol, Niko; Baeyens, Toon; Jacobs, Arne Carla; Dawyndt, Peter; Mesuere, Bart – Journal of Computer Assisted Learning, 2022
Background: Learning to code is increasingly embedded in secondary and higher education curricula, where solving programming exercises plays an important role in the learning process and in formative and summative assessment. Unfortunately, students admit that copying code from each other is a common practice and teachers indicate they rarely use…
Descriptors: Plagiarism, Benchmarking, Coding, Computer Science Education
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Dersch, Anna-Sophia; Renkl, Alexander; Eitel, Alexander – Journal of Computer Assisted Learning, 2022
Background: Previous research has shown that teachers hold misconceptions about multimedia learning (e.g., multimedia instruction needs to be adapted to students' learning styles), which may be at odds with evidence-based teaching. Objectives: Refutation texts are a classical method to reduce misconceptions and thus to stimulate conceptual change.…
Descriptors: Teacher Attitudes, Misconceptions, Attitude Change, Persuasive Discourse
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Hwang, Wu-Yuin; Hoang, Anh; Lin, Ya-Hsuan – Journal of Computer Assisted Learning, 2021
With facilitation of advanced technologies, design and application of "smart" become promising research issues in education. Although it is potential for students to learn geometric in authentic contexts, there were still lack of studies addressing "smart" learning issue in authentic context for geometry. This study aim to…
Descriptors: Geometry, Elementary School Students, Computer Assisted Instruction, Authentic Learning
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