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Zunera Zahid; Sara Ali; Shehriyar Shariq; Yasar Ayaz; Noman Naseer; Irum Yaseen – Journal of Computer Assisted Learning, 2024
Background: This study presents a Robot-Inspired Computer-Assisted Adaptive Autism Therapy (RoboCA[supercript 3]T) focusing on improving joint attention and imitation skills of children with autism spectrum disorder (ASD). By harnessing the inherent affinity of children with ASD for robots and technology, RoboCA[superscript 3]T offers a…
Descriptors: Autism Spectrum Disorders, Children, Robotics, Assistive Technology
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
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
Linlin Hu – Journal of Computer Assisted Learning, 2024
Background Study: As interest in programming education continues to grow, more educators are incorporating programming into K-12 classrooms. There is evidence that programming can help develop essential skills for future societal advancement, known as 21st century skills. However, there has been limited research into which sub-skills of 21st…
Descriptors: 21st Century Skills, Programming, Elementary Secondary Education, Futures (of Society)
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
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
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
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)
Dag, Funda; Sumuer, Evren; Durdu, Levent – Journal of Computer Assisted Learning, 2023
Background: Today, computational thinking (CT), which is considered to be a form of literacy, has taken its place in the ICT curriculum of many countries at the K-12 level. Therefore, there is a need for more evidence with regards to a theoretical and practical understanding of CT skills' development of K-12 students. Objectives: The purpose of…
Descriptors: Computation, Thinking Skills, Elementary School Students, Student Improvement
Zhong, Baichang; Xia, Liying – Journal of Computer Assisted Learning, 2022
Background: Although some researchers have applied both cooperation and competition in the practice of robotics education, most of these practices were not systematic, and there was no integration design for intra-group cooperation and inter-group competition. Objectives: The study aims to examine the effects of different coopetition designs on…
Descriptors: Robotics, Cooperation, Competition, Elementary School Students
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
Li, Wanyi; Yang, Weipeng – Journal of Computer Assisted Learning, 2023
Background: Computational thinking (CT) has become a crucial skill for individuals in the 21st century, and while more educators are starting to recognize the importance of CT education, there is still a lack of research on how to teach young children CT, particularly outside of traditional school settings. Objectives: To fill the gap in…
Descriptors: Computation, Thinking Skills, Program Effectiveness, Parent Education
Emily Theophilou; Davinia Hernández-Leo; Vicenç Gómez – Journal of Computer Assisted Learning, 2024
Background: Gender differences in the use of educational environments and social media platforms have been a topic of interest in research. Several studies have examined the disparities between female and male participants in terms of participation, engagement, and motivations in either educational or social media platforms. On this end, this…
Descriptors: Gender Differences, Social Media, Learner Engagement, Foreign Countries
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