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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
Wang, Yanqing; Wang, Fuxing; Mayer, Richard E.; Hu, Xiangen; Gong, Shaoying – Journal of Computer Assisted Learning, 2023
Background: How to improve learning with online multimedia lessons has attracted widespread concern. Prior studies have attempted to help students learn by breaking a video lesson into several segments. However, there has been a debate about whether learners can use pause time effectively and whether prompting them to engage in different types of…
Descriptors: Multimedia Instruction, Multimedia Materials, Prompting, Documentation
Elena Drugova; Irina Zhuravleva; Ulyana Zakharova; Adel Latipov – Journal of Computer Assisted Learning, 2024
Background: Driven by the ongoing need to provide high-quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to…
Descriptors: Learning Analytics, Instructional Design, Higher Education, Instructional Improvement
van Harsel, Milou; Hoogerheide, Vincent; Verkoeijen, Peter; van Gog, Tamara – Journal of Computer Assisted Learning, 2022
Nowadays, students often practice problem-solving skills in online learning environments with the help of examples and problems. This requires them to self-regulate their learning. It is questionable how novices self-regulate their learning from examples and problems and whether they need support. The present study investigated the open questions:…
Descriptors: Sequential Learning, Independent Study, Problem Solving, Electronic Learning
Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
Ishari Amarasinghe; Konstantinos Michos; Francisco Crespi; Davinia Hernández-Leo – Journal of Computer Assisted Learning, 2024
Background: Data-driven educational technology solutions have the potential to support teachers in different tasks, such as the designing and orchestration of collaborative learning activities. When designing, such solutions can improve teacher understanding of how learning designs impact student learning and behaviour; and guide them to refine…
Descriptors: Learning Activities, Educational Technology, Design, Cooperative Learning
Jagušt, T.; Boticki, I.; So, H. -J. – Journal of Computer Assisted Learning, 2018
This study reviews empirical research articles published in the field of technology-enhanced learning in the out-of-class contexts in primary schools between the years 2007 and 2016 and explores how the body of research has connected formal and informal learning experiences, referred to in the paper as bridging the gap. The review focuses on 43…
Descriptors: Elementary School Students, Informal Education, Student Interests, Student Motivation
Montrieux, H.; Raes, A.; Schellens, T. – Journal of Computer Assisted Learning, 2017
A quasi-experimental study was set up in secondary education to study the role of teachers while implementing tablet devices in science education. Three different classroom scripts that guided students and teachers' actions during the intervention on two social planes (group and classroom level) are compared. The main goal was to investigate which…
Descriptors: Secondary School Teachers, Quasiexperimental Design, Teacher Role, Handheld Devices
Peer reviewedChang, C-K.; Chen, Gwo-Dong – Journal of Computer Assisted Learning, 1997
Analyzes the requirements for constructing collaborative learning activities in distance computer assisted learning (CAL) systems; shows why an active database can satisfy the requirements with a collaborative homework example; and proposes procedures for using an active database to construct collaborative learning activities in distance CAL…
Descriptors: Computer Assisted Instruction, Computer System Design, Databases, Design Requirements
Peer reviewedScherly, D.; Roux, L.; Dillenbourg, P. – Journal of Computer Assisted Learning, 2000
Evaluates the use and efficiency of two computer learning tools for basic virology. "VIROLAB" is a simulation of a biology laboratory which also includes a hypertext providing learners with some knowledge on virology. The Hypertext is a version of the hypertext in VIROLAB. The study examined which of the two was most efficient for knowledge…
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer System Design, Educational Technology
Peer reviewedNulden, Urban – Journal of Computer Assisted Learning, 2001
Proposes an integrated approach for information technology in an educational context. Suggests a framework for the design of computer-assisted learning activities called e-ducation that incorporates electronic, engaged, and empowered learning, and describes the implementation of the framework at a Swedish university. (Contains 51 references.)…
Descriptors: Computer Assisted Instruction, Educational Technology, Foreign Countries, Higher Education

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