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Fan, Yizhou; Rakovic, Mladen; van der Graaf, Joep; Lim, Lyn; Singh, Shaveen; Moore, Johanna; Molenaar, Inge; Bannert, Maria; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: Many learners struggle to productively self-regulate their learning. To support the learners' self-regulated learning (SRL) and boost their achievement, it is essential to understand the cognitive and metacognitive processes that underlie SRL. To measure these processes, contemporary SRL researchers have largely utilized think aloud or…
Descriptors: Learning Strategies, Self Management, Protocol Analysis, Data Analysis
Lisa Stark; Andreas Korbach; Roland Brünken; Babette Park – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Metacognition, Multimedia Instruction, Multimedia Materials, Eye Movements
Kok, Ellen; Hormann, Olle; Rou, Jeroen; Saase, Evi; der Schaaf, Marieke; Kester, Liesbeth; Gog, Tamara – Journal of Computer Assisted Learning, 2022
Background: Performance monitoring plays a key role in self-regulated learning, but is difficult, especially for complex visual tasks such as navigational map reading. Gaze displays (i.e. visualizations of participants' eye movements during a task) might serve as feedback to improve students' performance monitoring. Objectives: We hypothesized…
Descriptors: Metacognition, Eye Movements, Task Analysis, Visualization
Magana, A. J.; Balachandran, S. – Journal of Computer Assisted Learning, 2017
While it is clear that the use of computer simulations has a beneficial effect on learning when compared to instruction without computer simulations, there is still room for improvement to fully realize their benefits for learning. Haptic technologies can fulfill the educational potential of computer simulations by adding the sense of touch.…
Descriptors: Student Attitudes, Feedback (Response), Computer Simulation, Undergraduate Students
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
Fang, N.; Tajvidi, M. – Journal of Computer Assisted Learning, 2018
This study focuses on the investigation of the effects of computer simulation and animation (CSA) on students' cognitive processes in an undergraduate engineering course. The revised Bloom's taxonomy, which consists of six categories in the cognitive process domain, was employed in this study. Five of the six categories were investigated,…
Descriptors: Computer Simulation, Animation, Educational Technology, Technology Uses in Education