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Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
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
Vogelaar, Bart; Veerbeek, Jochanan; Splinter, Suzanne E.; Resing, Wilma C. M. – Journal of Computer Assisted Learning, 2021
This study aimed to investigate children's potential for reasoning by analogy utilizing a newly-developed computerized dynamic test, and the potential differential influence of executive functions (cognitive flexibility, attention, and planning) on static and dynamic measures of analogical reasoning. Participants included 64 children (mean age =…
Descriptors: Thinking Skills, Executive Function, Computer Assisted Testing, Children
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
Richter, Juliane; Lachner, Andreas; Jacob, Leonie; Bilgenroth, Friederike; Scheiter, Katharina – Journal of Computer Assisted Learning, 2022
Background: Engaging students in computer-assisted guided inquiry learning has great potential to scaffold their scientific understanding: Students are expected to improve their scientific problem-solving skills, and at the same time gain a deep conceptual understanding of the subject-matter. Additional generative activities such as creating video…
Descriptors: Self Concept, Problem Solving, Video Technology, Computer Assisted Instruction
Tanimoto, S.; Thompson, R.; Berninger, V. W.; Nagy, W.; Abbott, R. D. – Journal of Computer Assisted Learning, 2015
Computer scientists and educational researchers evaluated effectiveness of computerized instruction tailored to evidence-based impairments in specific learning disabilities (SLDs) in students in grades 4-9 with persisting SLDs despite prior extra help. Following comprehensive, evidence-based differential diagnosis for dysgraphia (impaired…
Descriptors: Grade 4, Grade 5, Grade 6, Grade 8
Gogoulou, A.; Gouli, E.; Grigoriadou, M. – Journal of Computer Assisted Learning, 2008
In this paper, we present a synchronous text-based communication tool, referred to as Adaptive Communication Tool (ACT), which provides capabilities for adaptation and personalization. ACT supports both the free and the structured form of dialogue. The structured dialogue is implemented by two types of Scaffolding Sentence Templates (SST); i.e.…
Descriptors: Sentences, Computer Mediated Communication, Formative Evaluation, Dialogs (Language)