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Li, Shuqin; Wang, Weihua – Journal of Computer Assisted Learning, 2022
Background: Blended learning programs in Kindergarten through Grade 12 (K-12) classrooms are growing in popularity; however, previous studies assessing their effects have yielded inconsistent results. Further, their effects have not been completely quantitatively synthesized and evaluated. Objectives: The purpose of this study is to synthesize the…
Descriptors: Blended Learning, Instructional Effectiveness, Academic Achievement, Elementary Secondary Education
Navratil, Sabrina D.; Kühl, Tim – Journal of Computer Assisted Learning, 2019
Self-generated learning (SGL) activities are characterized as an active learning strategy that functions as a support for deeper comprehension. However, the question arises which factors could be essential to fully exploit the effectiveness of SGL activities. One possible factor may be the emotional state of learners during learning. Because…
Descriptors: Emotional Response, Learning Strategies, Active Learning, Learning Activities
Eleni Dermentzi – Journal of Computer Assisted Learning, 2024
Background: Degree apprenticeships (DA) help employees gain new knowledge and skills by allowing them to study towards a university degree while working full time. For these programmes to be effective, the learning design should be adapted to the needs of these students, who are goal oriented (i.e. they want to gain only knowledge that can be…
Descriptors: Foreign Countries, Apprenticeships, Game Based Learning, Flipped Classroom
Leah S. Mahler; Richard E. Mayer – Journal of Computer Assisted Learning, 2024
Background: Emotional design of multimedia lessons involves adding features that are intended to increase learner enjoyment and promote learning--such as adding narrative, anthropomorphizing non-human elements, and using warm colours. Objective: The present study extends this work to examine the potential of Japanese animation (anime) for…
Descriptors: Multimedia Instruction, Animation, Cartoons, Science Instruction
Gerald K. LeTendre; Raisa Gray – Journal of Computer Assisted Learning, 2024
Background: Although human-robotic interaction is a rapidly burgeoning area of study within education, and social robots are being widely tested for use in schools, few studies have focused on early adolescent interactions with robots under actual classroom conditions. Objectives: We introduced an autonomous, social robot ('Pepper') into a…
Descriptors: Robotics, Student Projects, Early Adolescents, Active Learning
Onur Karademir; Daniele Di Mitri; Jan Schneider; Ioana Jivet; Jörn Allmang; Sebastian Gombert; Marcus Kubsch; Knut Neumann; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: Teacher dashboards can help secondary school teachers manage online learning activities and inform instructional decisions by visualising information about class learning. However, when designing teacher dashboards, it is not trivial to choose which information to display, because not all of the vast amount of information retrieved…
Descriptors: Learning Analytics, Secondary School Teachers, Educational Technology, Design
Hans G. K. Hummel; Rob Nadolski; Hugo Huurdeman; Giel van Lankveld; Konstantinos Georgiadis; Aad Slootmaker; Hub Kurvers; Mick Hummel; Petra Neessen; Johan van den Boomen; Ron Pat-El; Julia Fischmann – Journal of Computer Assisted Learning, 2024
Background: Complex skills, like analytical thinking, are essential in preparing students for future professions. Serious games hold potential to stimulate the online acquisition of such professional skills in an active and experiential way. Objective: Rubrics are proven assessment and evaluation instruments, but were never directly integrated…
Descriptors: Game Based Learning, Scoring Rubrics, Educational Games, Computer Simulation
Nanda van der Stap; Theo van den Bogaart; Ebrahim Rahimi; Johan Versendaal – Journal of Computer Assisted Learning, 2024
Background: Online interaction in blended learning is leveraged through social presence and convergence. However, little systematic work currently exists on how researchers have explored these challenges in higher education institutions and no studies have synthesised these challenges. Objectives: The purpose of this study is to give a novel…
Descriptors: Literature Reviews, Blended Learning, Educational Strategies, Peer Relationship
Burke, Paul F.; Kearney, Matthew; Schuck, Sandy; Aubusson, Peter – Journal of Computer Assisted Learning, 2022
Background: Mobile learning studies often focus on teachers' perspectives. This study instead considers students' experiences of learning with mobile devices (i.e., m-learning) in secondary school mathematics and science. Objectives: The research aims to describe the m-learning experiences of secondary mathematics and science students, and to…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Munshi, Anabil; Biswas, Gautam; Baker, Ryan; Ocumpaugh, Jaclyn; Hutt, Stephen; Paquette, Luc – Journal of Computer Assisted Learning, 2023
Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning…
Descriptors: Scaffolding (Teaching Technique), Metacognition, Independent Study, Intelligent Tutoring Systems
Yin-Rong Zhang; Zhong-Mei Han; Tao He; Chang-Qin Huang; Fan Jiang; Gang Yang; Xue-Mei Wu – Journal of Computer Assisted Learning, 2025
Background: Collaborative programming is important and challenging for K12 students. Scaffolding is a vital method to support students' collaborative programming learning. However, conventional scaffolding that does not fade may lead students to become overly dependent, resulting in unsatisfactory programming performance. Objectives: This study…
Descriptors: Middle School Students, Grade 8, Scaffolding (Teaching Technique), Programming
Tristan H. S. de Jonge; Timo Kegelaar; Fabiola Figueroa Esquivel – Journal of Computer Assisted Learning, 2025
Background: Learner-generated digital media has gained significant attention as a supplementary learning tool. However, a need exists for empirical research to discern among various learner-generated digital media formats. One potential area of divergence lies in the arousal levels evoked during media creation due to varying emphasis on the…
Descriptors: Student Projects, Multimedia Materials, Nonverbal Communication, Comparative Analysis
Zeng-Wei Hong; Che-Lun Liang; Ming-Chi Liu – Journal of Computer Assisted Learning, 2025
Background: Online video-based learning often leads to fatigue, which detracts from engagement and learning outcomes. Previous studies have examined monitoring mental states like attention through electroencephalography (EEG) headsets, but limitations such as high costs, discomfort, and limited scalability persist. Objectives: This study evaluates…
Descriptors: Technology Uses in Education, Electronic Learning, Video Technology, Fatigue (Biology)
Wenjun Zhong; Jianghua Luo; Lihong Luo; Ya Lyu – Journal of Computer Assisted Learning, 2025
Background: Children with autism often face challenges in developing social-emotional skills, which are essential for their overall growth and social integration. Social robots have emerged as promising tools to support these skills; however, their effectiveness and educational applications remain uncertain, with existing research lacking…
Descriptors: Autism Spectrum Disorders, Children, Robotics, Social Emotional 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

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