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Frerejean, J.; van Strien, J. L. H.; Kirschner, P. A.; Brand-Gruwel, S. – Journal of Computer Assisted Learning, 2018
Although students often appear to be skilled in retrieving and making use of information from the internet, research shows that their information problem solving skills are overestimated. They show deficiencies in many of the necessary skills, such as generation of search terms, selection of sources, and critical processing of information. It is…
Descriptors: Problem Solving, Problem Based Learning, Skill Development, Training
Lin, C.-C.; Guo, K.-H.; Lin, Y.-C. – Journal of Computer Assisted Learning, 2016
This study aims at implementing a simple and effective remedial learning system. Based on fuzzy inference, a remedial learning material selection system is proposed for a digital logic course. Two learning concepts of the course have been used in the proposed system: number systems and combinational logic. We conducted an experiment to validate…
Descriptors: Remedial Instruction, Artificial Intelligence, Intelligent Tutoring Systems, Electronic Learning
Wojcikowski, K.; Brownie, S. – Journal of Computer Assisted Learning, 2013
Problem-based learning can be an effective tool to develop clinical reasoning skills. However, it traditionally takes place in tutorial groups, giving students little flexibility in how and when they learn. This pilot study compared the effectiveness of generic reflective feedback (GRF) with tutorial-based reflective feedback on the development of…
Descriptors: Foreign Countries, Problem Based Learning, Instructional Effectiveness, Thinking Skills