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Soonri Choi; Dongsik Kim; Jihoon Song – Educational Technology Research and Development, 2025
Despite the efforts of instructional design (ID) to solve real-life problems, it remains challenging to adapt and be flexible in such situations. In particular, problems that require simultaneous knowledge of multiple domains and contexts are more challenging to solve because real-life problems do not reconstruct the learned experience. This is…
Descriptors: Expertise, Instructional Design, Problem Solving, Cognitive Processes
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Felix Krieglstein; Maik Beege; Lukas Wesenberg; Günter Daniel Rey; Sascha Schneider – Educational Psychology Review, 2025
In research practice, it is common to measure cognitive load after learning using self-report scales. This approach can be considered risky because it is unclear on what basis learners assess cognitive load, particularly when the learning material contains varying levels of complexity. This raises questions that have yet to be answered by…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Materials, Problem Solving
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Toukiloglou, Pavlos; Xinogalos, Stelios – Journal of Educational Computing Research, 2023
Serious games are a growing field in academic research and they are considered an effective tool for education. Game-based learning invokes motivation and engagement in students resulting in effective instructional outcomes. An essential aspect of a serious game is the method of support for presenting the teaching material and providing feedback.…
Descriptors: Educational Games, Programming, Sequential Learning, Cognitive Processes
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Jinnie Shin; Bowen Wang; Wallace N. Pinto Junior; Mark J. Gierl – Large-scale Assessments in Education, 2024
The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…
Descriptors: Prediction, Models, Problem Solving, Performance
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Jamie Costley; Anna Gorbunova; Alexander Savelyev; Irina Shcheglova; Christopher Lange – Innovations in Education and Teaching International, 2025
One way to reduce the cognitive load students feel during instruction is to change the way content is delivered. This can be achieved by optimising the instructional sequence and providing sufficient instructional support during problem-solving. However, the literature is unclear regarding whether an inductive or a deductive instructional sequence…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Law Students
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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
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Adiredja, Aditya P. – International Journal of Mathematical Education in Science and Technology, 2021
A few case studies have suggested students' struggles with the "temporal order" of epsilon and delta in the formal limit definition. This study problematizes this hypothesis by exploring students' claims in different contexts and uncovering productive resources from students to make sense of the critical relationship between epsilon and…
Descriptors: Mathematics Instruction, Teaching Methods, Difficulty Level, Generalization