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Peng Chen; Dong Yang; Jia Zhao; Shu Yang; Jari Lavonen – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) refers to the ability to represent problems, design solutions and migrate solutions computationally. While previous studies have shown that self-explanation can enhance students' learning, few empirical studies have examined the effects of using different self-explanation prompts to cultivate students' CT…
Descriptors: Computation, Thinking Skills, Programming, Learning Processes
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Dominic Lohr; Hieke Keuning; Natalie Kiesler – Journal of Computer Assisted Learning, 2025
Background: Feedback as one of the most influential factors for learning has been subject to a great body of research. It plays a key role in the development of educational technology systems and is traditionally rooted in deterministic feedback defined by experts and their experience. However, with the rise of generative AI and especially large…
Descriptors: College Students, Programming, Artificial Intelligence, Feedback (Response)
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Michelle Cheong – Journal of Computer Assisted Learning, 2025
Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more 'Generative-AI-resistant' and to focus on assessing students on higher order…
Descriptors: Artificial Intelligence, Performance Based Assessment, Spreadsheets, Models
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Yanqing Wang; Shaoying Gong; Ning Jia; Ying Liu – Journal of Computer Assisted Learning, 2025
Background: Online learning is becoming increasingly popular among learners. To enhance the effectiveness of online learning, researchers have embedded an affective pedagogical agent (PA) on the computer screen to help regulate learners' emotions and support their learning. However, previous research has paid little attention to the effects of…
Descriptors: Metacognition, Prompting, Electronic Learning, Computer Uses in Education
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Wang, Yanqing; Wang, Fuxing; Mayer, Richard E.; Hu, Xiangen; Gong, Shaoying – Journal of Computer Assisted Learning, 2023
Background: How to improve learning with online multimedia lessons has attracted widespread concern. Prior studies have attempted to help students learn by breaking a video lesson into several segments. However, there has been a debate about whether learners can use pause time effectively and whether prompting them to engage in different types of…
Descriptors: Multimedia Instruction, Multimedia Materials, Prompting, Documentation
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Liu, Arita L.; Hajian, Shiva; Jain, Misha; Fukuda, Mari; Obaid, Teeba; Nesbit, John C.; Winne, Philip H. – Journal of Computer Assisted Learning, 2022
Background: Guidance during inquiry learning plays an important role in developing conceptual understanding and inquiry skills. This study analysed learner-tutor interactions in a simulation-assisted learning environment to investigate how tutor guidance enabled knowledge construction and fostered epistemic practice. Objectives: This research…
Descriptors: Inquiry, Interaction, Teacher Student Relationship, Barriers
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Kittel, Anne Frieda Doris; Seufert, Tina – Journal of Computer Assisted Learning, 2023
Background: Most workplace learning is informal. However, some employees struggle to execute informal learning strategies effectively because they lack the necessary knowledge or skills or use their knowledge and skills ineffectively or not at all. Objectives: We examined the effects of computer-based micro-learning interventions that provide…
Descriptors: Informal Education, Learning Strategies, Workplace Learning, Job Skills
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Park, Jongchan; Park, Chaeyeon; Jung, Hyojung; Kim, Dongsik – Journal of Computer Assisted Learning, 2020
In case library learning, an instructional method that promotes case-based problem solving, learners often struggle with indexing cases. Poor case indexing may hamper retention and retrieval of cases, hindering the construction of mental libraries in learners. To address this issue, the authors developed two indexing prompt types,…
Descriptors: Case Method (Teaching Technique), Problem Solving, Prompting, Persuasive Discourse
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Wang, Cixiao; Xu, Lingling; Liu, Hui – Journal of Computer Assisted Learning, 2022
Background: Virtual manipulatives (VMs) are increasingly adopted in inquiry activities. However, the effects of the ratio of mobile device-based VMs to students and external scripts (a guiding structure for prompting group process) provision on group interaction has not been detailed. Objectives: This study proposed four different technology…
Descriptors: Manipulative Materials, Educational Technology, Handheld Devices, Cooperative Learning
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Candel, Carmen; Vidal-Abarca, Eduardo; Cerdán, Raquel; Lippmann, Marie; Narciss, Susanne – Journal of Computer Assisted Learning, 2020
This study examines the effects of timing of corrective formative feedback on processing text information on question-answering. Undergraduate students read an expository text and answered questions in two attempts. Students were randomly assigned to a no feedback, immediate feedback and delayed feedback conditions. Students in the feedback…
Descriptors: Time Factors (Learning), Feedback (Response), Computer Assisted Instruction, Undergraduate Students
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Sun, Yanyan; Yan, Zhenping; Wu, Bian – Journal of Computer Assisted Learning, 2022
Background: Guidance has showed positive effects on promoting inquiry-based learning in science education. While an increasing number of studies focus on the design of guidance in simulation-based inquiry learning due to recent technology developments, how different designs of a same type of guidance affect learning remains a question. Objectives:…
Descriptors: Guidance, Inquiry, Active Learning, Simulation
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Eniko Orsolya Bereczki; Zsofia K. Takacs; J. Elizabeth Richey; Huy A. Nguyen; Michael Mogessie; Bruce M. McLaren – Journal of Computer Assisted Learning, 2024
Background: Mindfulness practices enhance executive function skills and academic achievement, spurring interest in integrating mindfulness interventions into education. Embedding mindfulness practice into a digital math game may provide a low-cost, scalable way to induce mindfulness and boost game-based learning, yet this approach remains…
Descriptors: Metacognition, Educational Games, Video Games, Game Based Learning
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Arslan-Ari, I. – Journal of Computer Assisted Learning, 2018
The purpose of this study was to investigate the effects of cueing and prior knowledge on learning and mental effort of students studying an animation with narration. This study employed a 2 (no cueing vs. visual cueing) × 2 (low vs. high prior knowledge) between-subjects factorial design. The results revealed a significant interaction effect…
Descriptors: Animation, Prior Learning, Prompting, Learning
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Veerbeek, Jochanan; Vogelaar, Bart; Verhaegh, Janneke; Resing, Wilma C. M. – Journal of Computer Assisted Learning, 2019
Task solving processes and changes in these processes have long been expected to provide valuable information about children's performance in school. This article used electronic tangibles (concrete materials that can be physically manipulated) and a dynamic testing format (pretest, training, and posttest) to investigate children's task solving…
Descriptors: Young Children, Pretests Posttests, Problem Solving, Outcomes of Education
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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
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