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Gerti Pishtari; María Jesús Rodríguez-Triana; Luis P. Prieto; Adolfo Ruiz-Calleja; Terje Väljataga – Journal of Computer Assisted Learning, 2024
Background: In the field of Learning Design, it is common that researchers analyse manually design artefacts created by practitioners, using pedagogically-grounded approaches (e.g., Bloom's Taxonomy), both to understand and later to support practitioners' design practices. Automatizing these high-level pedagogically-grounded analyses would enable…
Descriptors: Electronic Learning, Instructional Design, Active Learning, Inquiry
Keng-Chih Hsu; Gi-Zen Liu – Journal of Computer Assisted Learning, 2025
Background: Augmented reality (AR) emerges as a technology with considerable promise and substantial potential for pedagogical integration within language education contexts. However, there remains a scarcity of review studies exploring the best practices and principles for oral communication facilitation based on robust theoretical models or…
Descriptors: Computer Simulation, Computer Assisted Design, Verbal Communication, Language Acquisition
Tamisha Thompson; Jennifer St. John; Siddhartha Pradhan; Erin Ottmar – Journal of Computer Assisted Learning, 2025
Background: Educational technologies typically provide teachers with analytics regarding student proficiency, but few digital tools provide teachers with process-based information about students' variable problem-solving strategies as they solve problems. Utilising design thinking and co-designing with teachers can provide insight to researchers…
Descriptors: Mathematics Instruction, Educational Technology, Problem Solving, Instructional Design
Peng Chen; Dong Yang; Jia Zhao; Shu Yang; Jari Lavonen – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) refers to the ability to represent problems, design solutions and migrate solutions computationally. While previous studies have shown that self-explanation can enhance students' learning, few empirical studies have examined the effects of using different self-explanation prompts to cultivate students' CT…
Descriptors: Computation, Thinking Skills, Programming, Learning Processes
Kairit Tammets; Kaire Kollom; Tobias Ley; Paula Joanna Sillat; Manisha Khulbe – Journal of Computer Assisted Learning, 2025
Background Study: Learning Analytics (LA) has emerged as a powerful tool for personalising learning, gaining insights into students' learning processes, and enhancing teachers' reflective practices and awareness. Over the past decades, extensive research has been conducted to understand the factors that play a crucial role in the adoption of…
Descriptors: Training, Instructional Design, Individual Characteristics, Intention
Fangzheng Zhao; Richard E. Mayer – Journal of Computer Assisted Learning, 2025
Introduction: While prior research has delved into the emotional aspects of instructional design, it has not extensively examined whether integrating affective features specifically relevant to the theme of the learning materials is essential for enhancing learning effectiveness compared to incorporating general affective features. This study aims…
Descriptors: Multimedia Instruction, Teaching Methods, Cartoons, Psychological Patterns
Li, Wenhao; Qian, Li; Feng, Qinna; Luo, Heng – Journal of Computer Assisted Learning, 2023
Background: Panoramic video as a novel instructional media with increasing educational application. However, empirical research on panoramic video instruction is mostly episodic with conditional and inconclusive results. Objectives: This study reviewed 10 years (2011-2021) of research on panoramic video in education to synthesize, meta-analyse,…
Descriptors: Video Technology, Technology Uses in Education, Instructional Design, Research Design
Atezaz Ahmad; Jan Schneider; Dai Griffiths; Daniel Biedermann; Daniel Schiffner; Wolfgang Greller; Hendrik Drachsler – Journal of Computer Assisted Learning, 2024
Background: During the past decade, the increasingly heterogeneous field of learning analytics has been critiqued for an over-emphasis on data-driven approaches at the expense of paying attention to learning designs. Method and objective: In response to this critique, we investigated the role of learning design in learning analytics through a…
Descriptors: Instructional Design, Learning Analytics, Data Use, Literature Reviews
Novak, Elena; Mulvey, Bridget K. – Journal of Computer Assisted Learning, 2021
There is growing demand in our society to cultivate creativity and foster innovation. Design thinking has been successfully practiced as an educational framework for supporting innovation in educational and work contexts. However, research on design thinking education that facilitates the acquisition of knowledge related to design process and…
Descriptors: Design, Innovation, Educational Technology, Instructional Design
Chunqi Li; Lishi Liang; Luke K. Fryer; Alex Shum – Journal of Computer Assisted Learning, 2024
Background: Leaderboards are among the most popular gamification elements in education. Some studies have implemented leaderboards and reported their individual effects on students' learning. Despite the emergence of relevant empirical studies, most of the existing reviews have only investigated the holistic impact of gamification. No previous…
Descriptors: Higher Education, Gamification, Evidence Based Practice, Learning Motivation
Stoyanov, Slavi; Kirschner, Paul A. – Journal of Computer Assisted Learning, 2023
Background: Learning analytics (LA) collects, analyses, and reports data from the learning environment, to provide evidence of the effects of a particular learning design. Learning design (LD) outlines the conceptual framework for a meaningful interpretation of Learning analytics data. Objectives: The study aims to identify the most relevant…
Descriptors: Learning Analytics, Instructional Design, Data Interpretation, Literature Reviews
Mengshi Xiao; Weizi Li; Lei Han; Shasha Zheng – Journal of Computer Assisted Learning, 2025
Background: In multimedia learning environments, pedagogical agents have emerged as an innovative tool to enhance digital instruction, yet optimising their design for maximal learning effectiveness remains underexplored. Objectives: This study aimed to investigate how specific design elements of pedagogical agents, namely appearance and voice…
Descriptors: Multimedia Instruction, Instructional Design, Computer Simulation, Student Attitudes
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)
Umar Alkafaween; Ibrahim Albluwi; Paul Denny – Journal of Computer Assisted Learning, 2025
Background: Automatically graded programming assignments provide instant feedback to students and significantly reduce manual grading time for instructors. However, creating comprehensive suites of test cases for programming problems within automatic graders can be time-consuming and complex. The effort needed to define test suites may deter some…
Descriptors: Automation, Grading, Introductory Courses, Programming
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

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