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Huang, Yun; Brusilovsky, Peter; Guerra, Julio; Koedinger, Kenneth; Schunn, Christian – Journal of Computer Assisted Learning, 2023
Background: Skill integration is vital in students' mastery development and is especially prominent in developing code tracing skills which are foundational to programming, an increasingly important area in the current STEM education. However, instructional design to support skill integration in learning technologies has been limited. Objectives:…
Descriptors: Intelligent Tutoring Systems, Coding, Programming, Skill Development
Qianwen Tang; Wenbo Deng; Yidan Huang; Shuaijie Wang; Hao Zhang – Journal of Computer Assisted Learning, 2025
Background: Generative Artificial Intelligence (AI) shows promise in enhancing personalised learning and improving educational efficiency. However, its integration into education raises concerns about misinformation and over-reliance, particularly among adolescents. Teacher supervision plays a critical role in mitigating these risks and ensuring…
Descriptors: Artificial Intelligence, Teaching Methods, Educational Quality, Technology Integration
John L. Nietfeld; Kristin F. Hoffmann – Journal of Computer Assisted Learning, 2024
Background: Goal setting has been established in the literature as a critical component of self-regulated learning and for effective problem-solving. Yet, surprisingly little attention has been focused on goal-directed behaviour in digital game-based learning environments (GBLEs) despite their expanding use in educational contexts. Objectives: The…
Descriptors: Game Based Learning, Educational Environment, Goal Orientation, Electronic Learning
Ackermans, Kevin; Rusman, Ellen; Nadolski, Rob; Specht, Marcus; Brand-Gruwel, Saskia – Journal of Computer Assisted Learning, 2021
Learners in the process of developing complex skills need a rich mental model of what such skills entail. Textual analytics rubrics (TR) are a widely used instrument to support formative assessment of complex skills, supporting feedback, reflection, and thus mental model development of complex skills. However, the textual nature of a rubric limits…
Descriptors: Video Technology, Scoring Rubrics, Cues, Formative Evaluation
Yeh, Y. -c.; Lin, C. S. – Journal of Computer Assisted Learning, 2018
Although cultivating creativity is greatly emphasized in elementary school education and that digital games can be a promising tool for improving creativity, little research has been conducted to identify and explore how player-related factors might influence the learning outcomes of digital creativity games. This study identifies 3 individual…
Descriptors: Goal Orientation, Academic Achievement, Structural Equation Models, Self Efficacy
Paiva, R. C.; Ferreira, M. S.; Frade, M. M. – Journal of Computer Assisted Learning, 2017
The growth of the higher education population and different school paths to access an academic degree has increased the heterogeneity of students inside the classroom. Consequently, the effectiveness of traditional teaching methods has reduced. This paper describes the design, development, implementation and evaluation of a tutoring system (TS) to…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Mathematical Concepts, Mastery Learning
Masek, M.; Boston, J.; Lam, C. P.; Corcoran, S. – Journal of Computer Assisted Learning, 2017
Concepts from the Australian mathematics curriculum on fractions were used as core elements to design three computer games. In each game, the concepts were presented in the form of tangible puzzles, customized to a difficulty level based on student capability. The games were integrated into a single virtual game world, and a fantasy story was used…
Descriptors: Fractions, Blended Learning, Video Games, Mastery Learning
Song, H. S.; Kalet, A. L.; Plass, J. L. – Journal of Computer Assisted Learning, 2016
This study examined the direct and indirect effects of medical clerkship students' prior knowledge, self-regulation and motivation on learning performance in complex multimedia learning environments. The data from 386 medical clerkship students from six medical schools were analysed using structural equation modeling. The structural model revealed…
Descriptors: Prior Learning, Self Management, Self Control, Student Motivation
Fleming, R.; Stoiber, L. C.; Pfeiffer, H. M.; Kienzler, S. E.; Fleming, R. R.; Pedrick, L. E.; Barth, D. J.; Reddy, D. . – Journal of Computer Assisted Learning, 2016
This study was undertaken to evaluate whether the student success associated with the "U-Pace" instructional approach, which integrates mastery-based learning with proactive instructor support in an online learning environment, would replicate for both economically disadvantaged students and students who are not economically…
Descriptors: Teaching Methods, Mastery Learning, Academic Achievement, Economically Disadvantaged
Hatlevik, O. E.; Ottestad, G.; Throndsen, I. – Journal of Computer Assisted Learning, 2015
Since 2006, the ability to use information and communication technology (ICT) has been included as a key competence in the curriculum in Norway, and specific competence aims are developed for most grades. The aim of this study was to identify students' ability to use ICT according to the competence aims, and to examine factors that can predict…
Descriptors: Grade 7, Foreign Countries, Educational Technology, Technological Literacy

Fawcett, Angela J.; And Others – Journal of Computer Assisted Learning, 1993
Discusses the use of multimedia techniques in computer-assisted learning (CAL) to help dyslexic children with spelling. An evaluation study that tested rule-based versus mastery-based approaches to spelling remediation is reported; problems that dyslexic children have with traditional CAL are discussed; and software that uses synthesized speech is…
Descriptors: Computer Assisted Instruction, Courseware, Dyslexia, Elementary Education