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Sjors Verstege; Yingbin Zhang; Peter Wierenga; Luc Paquette; Julia Diederen – Technology, Knowledge and Learning, 2024
In natural science education, experiments often lead to the collection of raw data that need to be processed into results by doing calculations. Teaching students how to approach such calculations can be done using digital learning materials that provide guidance. The goal of this study was to investigate students' behaviour regarding the use of…
Descriptors: Sequential Approach, Student Behavior, Guidance, Computation
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Nina Minkley; Marco Lucas; Sascha Bernholt – Research in Science Education, 2024
The understanding of complex molecular representations is crucial for comprehending molecular scientific phenomena, but many students struggle with them. Therefore, we investigated the effectiveness of short written clues in dealing with molecular representations, specifically their impact on performance, self-efficacy, and stress reactions. A…
Descriptors: Molecular Structure, Science Instruction, Stress Variables, Self Efficacy
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Michella Basas – Journal of Deaf Studies and Deaf Education, 2024
This Family and Practitioner Brief discusses how deaf children who have not had access to a complete language from birth often encounter unique challenges in developing academic language skills, particularly in the realm of inference-making.
Descriptors: Deafness, Hearing Impairments, Inferences, Children
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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
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Rui Sun; Xuefei Deng – Journal of Information Systems Education, 2025
This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…
Descriptors: Artificial Intelligence, Cues, Teaching Methods, Technology Uses in Education
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Reilly Norum; Ji-Eun Lee; Erin Ottmar; Lane Harrison – British Journal of Educational Technology, 2024
Well-designed online educational games can improve students' math knowledge, skills and engagement; however, more research is needed to understand how to formatively assess components of students' mathematical understanding and learning as students solve problems in online educational games. In this study, we examined how 7th-grade students' (N =…
Descriptors: Educational Games, Computer Games, Student Evaluation, Mathematics Skills
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Kelly M. McGinn; Julie L. Booth; Alexandra Huyghe; Laura K. Young; M. Suzanne Donovan – Journal of Experimental Education, 2025
Prior short-term studies have shown the effectiveness of worked examples and self-explanation prompts in improving elementary students' mathematics knowledge. However, year-long classroom-based interventions have been tested only with older students. The purpose of the current study was to explore the effectiveness of a year-long classroom…
Descriptors: Grade 5, Mathematics Instruction, Intervention, Elementary School Students