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Shang Shanshan; Geng Sen – Journal of Computer Assisted Learning, 2024
Background: Artificial intelligence-generated content (AIGC) has stepped into the spotlight with the emergence of ChatGPT, making effective use of AIGC for education a hot topic. Objectives: This study seeks to explore the effectiveness of integrating AIGC into programming learning through debugging. First, the study presents three levels of AIGC…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Programming
Ting-Ting Wu; Edi Sarwono; Yueh-Min Huang – Journal of Computer Assisted Learning, 2025
Background: Virtual laboratories are used to supplement or even replace physical laboratories in engineering education. Although these virtual laboratories allow students to learn foundational experimental skills, they do not provide the learners with the chance to develop higher-order thinking skills (HOTS). Computational thinking (CT) is an…
Descriptors: Computation, Thinking Skills, Computer Simulation, Laboratories
Yonggang Wei; Lu Wang; Yi Tang; Junyue Su; Yaxian Lei; Wanran Peng – Journal of Computer Assisted Learning, 2024
Background: The pedagogy of computational thinking has gained extensive traction across numerous nations globally, with a particular emphasis on nurturing computational thinking in the formative years of early childhood. Nevertheless, the efficacy of diverse instructional approaches in the domain of programming education, with regards to fostering…
Descriptors: Programming, Computation, Thinking Skills, Young Children
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
Michelle Cheong – Journal of Computer Assisted Learning, 2025
Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more 'Generative-AI-resistant' and to focus on assessing students on higher order…
Descriptors: Artificial Intelligence, Performance Based Assessment, Spreadsheets, Models
Hanzhu Yang; Linlin Hu; Hao Wang; Yunfei Xin – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a cognitive approach intricately linked with core competencies in Science, Technology, Engineering, and Mathematics (STEM). Numerous studies have explored strategies to effectively integrate CT into STEM education and systematically evaluated the multidimensional impact on student learning outcomes.…
Descriptors: Integrated Activities, Computation, Thinking Skills, STEM Education
Ezgi Dogan; Yusuf Levent Sahin – Journal of Computer Assisted Learning, 2024
Background: It is crucial to use innovative tools to gain clinical reasoning skills through experiential learning in pharmacy education, and one of the most effective tools used in this is virtual reality. However, the lack of research that empirically demonstrates the instructional principles of virtual environment design, especially in the…
Descriptors: Computer Simulation, Simulated Environment, Pharmacy, Pharmaceutical Education
Amy Voss Farris; Gözde McLaughlin – Journal of Computer Assisted Learning, 2024
Background: Science teachers' understanding of the roles of computing practices in science frame how they enact scientific computational practices in their teaching and how their students perceive the relationship between computational practices and scientific endeavours. Objectives: This critical, integrative review synthesizes teacher learning…
Descriptors: Science Teachers, Computation, Multiple Literacies, Elementary Secondary Education
Shuhan Zhang; Gary K. W. Wong – Journal of Computer Assisted Learning, 2024
Background: Computational thinking (CT) has emerged as a critical component of 21st-century skills, and increasing effort was seen in exploring the development of CT skills in K-12 students. Despite cumulative research on exploring students' CT acquisition and its influencing factors, learners' development of the skill over time and the underlying…
Descriptors: Individual Differences, Computation, Thinking Skills, Elementary School Students
Yanyan Sun; Yingfen Huang – Journal of Computer Assisted Learning, 2025
Background: Collaborative lesson planning is a crucial practice in teacher education, supporting pre-service teachers in lesson design and fostering professional development. While generative AI (GenAI) is increasingly integrated into education, its role in collaborative lesson planning remains unclear. Objectives: This study aims to explore how…
Descriptors: Artificial Intelligence, Technology Uses in Education, Lesson Plans, Preservice Teachers
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
David A. Martin; Peter Curtis; Petrea Redmond – Journal of Computer Assisted Learning, 2024
Background: A resurgence in teaching coding in primary school classrooms has led to a pedagogical swing towards using physical computing and coding to develop students' use of algorithms, computational thinking, and problem-solving skills. Two obstacles impede the optimal development of these objectives: the availability of a suitable pedagogy and…
Descriptors: Elementary School Students, Student Attitudes, Programming, Computation
Kevin Sigayret; Nathalie Blanc; André Tricot – Journal of Computer Assisted Learning, 2025
Background: Teaching programming and computational thinking is becoming a major issue in many education systems. Numerous approaches are possible, but very few studies compare these different ways of implementing programming and computational thinking learning. Objectives: We compared three ways of teaching programming and computational thinking…
Descriptors: Educational Technology, Technology Uses in Education, Robotics, Computation
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
Jiahong Su; Weipeng Yang; Iris Heung Yue Yim; Hui Li; Xiao Hu – Journal of Computer Assisted Learning, 2024
Background: While the integration of robot-based learning in early childhood education has gained increasing attention in recent years, there is still a lack of evidence regarding the impact of AI robots on young children's learning. Objectives: The study explored the effectiveness of two AI education approaches in advancing kindergarteners'…
Descriptors: Early Childhood Education, Artificial Intelligence, Kindergarten, Program Effectiveness
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