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Tanya Chichekian; Joel Trudeau; Tawfiq Jawhar; Dylan Corliss – Journal of Computer Assisted Learning, 2024
Background: Despite its obvious relevance to computer science, computational thinking (CT) is transdisciplinary with the potential of impacting one's analytical ability. Although countless efforts have been invested across K-12 education, there is a paucity of research at the postsecondary level about the extent to which CT can contribute to…
Descriptors: College Students, Computation, Thinking Skills, Transfer of Training
Asma Hadyaoui; Lilia Cheniti-Belcadhi – Journal of Computer Assisted Learning, 2024
Background: Project-based collaborative learning (PBCL) is a technique that supports knowledge and skill development through complex, real-world projects. Understanding factors that influence group performance in PBCL, such as gender composition, is crucial. Objectives: This study investigates the impact of gender composition on group performance…
Descriptors: Gender Differences, Skill Development, Cooperative Learning, Active Learning
Shuang Li; Jingxi Chen; Sizhuo Liu – Journal of Computer Assisted Learning, 2024
Background: Enhancing the effectiveness of online learning has become a key challenge with regard to the ability of blended learning to reach its full potential. However, mechanisms by which students' self-regulated learning (SRL) skills influence their online learning engagement in blended learning and subsequent learning achievement have yet to…
Descriptors: Blended Learning, Elementary Secondary Education, Self Management, Self Evaluation (Individuals)
Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
Linghong Li; Martin Valcke; Linda Badan; Christoph Anderl – Journal of Computer Assisted Learning, 2024
Background study: Chinese tone pronunciation instruction gains increasingly attention and various instructional strategies have been studied to develop effective tones in students. Students usually listen to successful pronunciation stimuli provided by the teacher or peers, to be copied by themselves. However, individuals seem more sensitive to…
Descriptors: Second Language Instruction, Second Language Learning, Chinese, Intonation
Yueh-Min Huang; Wei-Sheng Wang; Hsin-Yu Lee; Chia-Ju Lin; Ting-Ting Wu – Journal of Computer Assisted Learning, 2024
Background: Virtual reality (VR) offers significant potential for hands-on learning environments by providing immersive and visually stimulating experiences. Interacting with such environments can bring numerous benefits to learning, including enhanced engagement, knowledge construction, and higher-order thinking. However, many current VR studies…
Descriptors: Computer Simulation, Feedback (Response), Reflection, Experiential Learning
Maarten Sluijs; Uwe Matzat – Journal of Computer Assisted Learning, 2024
Background: Technological innovations such as Learning Management Systems (LMS) are becoming more and more prevalent in the learning environments of students. Distilling and acting on knowledge gathered from these systems, the field known as learning analytics, allows educators to hone their craft and support students more effectively by providing…
Descriptors: Time Management, Learning Analytics, Learning Management Systems, Predictive Measurement
Lai, Xiaoyan; Ye, Jiachu; Wong, Gary Ka Wai – Journal of Computer Assisted Learning, 2023
Background: Collaboration has commonly been integrated in computational thinking education to foster novice learning. While the majority of existing studies on developing students' CT skills have been based on competency or personality factors, social factors have been largely ignored. Objectives: This systematic review, framed by social cognitive…
Descriptors: Cooperative Learning, Instructional Effectiveness, Computation, Thinking Skills
Xin Gong; Weiqi Xu; Ailing Qiao; Zhixia Li – Journal of Computer Assisted Learning, 2025
Background: Robot programming can simultaneously cultivate learners' computational thinking (CT) and spatial thinking (ST). However, there is a noticeable gap in research focusing on the micro-level development patterns of learners' CT and ST and their interconnections. Objectives: This study aims to uncover the intricate development patterns and…
Descriptors: Mental Computation, Thinking Skills, Skill Development, Robotics
Fengfeng Ke; Chih-Pu Dai; Luke West – Journal of Computer Assisted Learning, 2024
Background: Game-based learning can frame problem-solving as a sense-making experience with domain-specific tasks for school students. However, multiple challenges arise when trying to support learners in such a complex, problem-oriented learning environment. Objectives and Methods: With an architecture-themed mathematics learning game, we…
Descriptors: Middle School Students, Student Experience, Mathematics Education, Game Based Learning
Huang, Yun; Brusilovsky, Peter; Guerra, Julio; Koedinger, Kenneth; Schunn, Christian – Journal of Computer Assisted Learning, 2023
Background: Skill integration is vital in students' mastery development and is especially prominent in developing code tracing skills which are foundational to programming, an increasingly important area in the current STEM education. However, instructional design to support skill integration in learning technologies has been limited. Objectives:…
Descriptors: Intelligent Tutoring Systems, Coding, Programming, Skill Development
Yadviga Radzitskaya; Artem Islamov – Journal of Computer Assisted Learning, 2024
Nanolearning represents an educational methodology rooted in personalisation and the individualisation of the educational process, leveraging contemporary information technologies. Nanolearning, closely intertwined with self-regulated learning, entails an individual's capacity to plan, monitor and regulate their learning process, objectives and…
Descriptors: Microcredentials, Teaching Methods, Information Technology, Learning Processes
Ackermans, Kevin; Rusman, Ellen; Nadolski, Rob; Specht, Marcus; Brand-Gruwel, Saskia – Journal of Computer Assisted Learning, 2021
Learners in the process of developing complex skills need a rich mental model of what such skills entail. Textual analytics rubrics (TR) are a widely used instrument to support formative assessment of complex skills, supporting feedback, reflection, and thus mental model development of complex skills. However, the textual nature of a rubric limits…
Descriptors: Video Technology, Scoring Rubrics, Cues, Formative Evaluation
Israel-Fishelson, Rotem; Hershkovitz, Arnon – Journal of Computer Assisted Learning, 2021
Persistence has been identified as a crucial quality of learning. However, it is hard to attain in online game-based environments as the drive to progress in the game may influence the ability to achieve the learning goals. This study aimed to examine the associations between micro-persistence, that is, the tendency to complete an individual task…
Descriptors: Game Based Learning, Persistence, Difficulty Level, Thinking Skills
Ting-Ting Wu; Hsin-Yu Lee; Pei-Hua Chen; Chia-Ju Lin; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Science, Technology, Engineering, and Mathematics (STEM) education in Asian universities struggles to integrate Knowledge, Skills, and Attitudes (KSA) due to large classes and student reluctance. While ChatGPT offers solutions, its conventional use may hinder independent critical thinking. Objectives: This study introduces PA-GPT,…
Descriptors: Peer Evaluation, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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