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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
Zhiying Zheng; Kla Sriphet; Sitthisak Champadaeng – Higher Education Studies, 2025
Chinese traditional crafts represent an important cultural heritage. However, with the advancement of modernization, the inheritance of these crafts has encountered challenges such as a talent gap and the loss of craft carriers. Therefore, this study explores an innovative model integrating the Chinese-style apprenticeship system with digital…
Descriptors: Foreign Countries, Cultural Background, Apprenticeships, Computer Assisted Instruction
Philip Oreopoulos; Chloe R. Gibbs; Michael Jensen; Joseph P. Price – Annenberg Institute for School Reform at Brown University, 2024
Mastery learning -- the process by which students must demonstrate proficiency with a single topic before moving on -- is well recognized as one of the best ways to learn, yet many teachers struggle or remain unsure about how to implement it into a classroom setting. This study leverages two field experiments to test the efficacy of a program…
Descriptors: Elementary School Teachers, Middle School Teachers, Mathematics Teachers, Computer Assisted Instruction
Ouyang, Ming – Education and Information Technologies, 2023
This study sought to evaluate the effectiveness of introducing digital software in music education to improve academic performance and solfeggio class attendance. To assess academic performance, a test consisting of 25 theoretical questions and 25 practical tasks was developed. The Bologna model was used as an assessment system. The groups were…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Music Education
Albert Rof; Andrea Bikfalvi; Pilar Marques – TechTrends: Linking Research and Practice to Improve Learning, 2025
Microlearning is gaining ground in the higher education domain. Despite this trend, there is a lack of evidence of effectiveness when a large number of microlearning units are grouped to form a macrolearning programme. The purpose of this paper is to explore how and why a macrolearning affects students' self-efficacy. The originality of this paper…
Descriptors: Business Education, Teaching Methods, Computer Assisted Instruction, Critical Thinking
Kirk P. Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison Liu; Stacy T. Shaw; Neil T. Heffernan – Grantee Submission, 2023
As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…
Descriptors: Intervention, Program Effectiveness, Student Behavior, Computer Assisted Instruction
Butler, Robert C.; Blair, Christopher D.; Newman, Rae Ette; Batchelor, Leah L – Teaching Statistics: An International Journal for Teachers, 2023
This study compared the effectiveness of teaching a distance education statistics course using a computer-aided personalized system of instruction (CAPSI) in comparison to a distance education course that used video lectures. Data were collected between 2017 and 2022. Two-hundred and sixty-eight students were included in the sample. Results…
Descriptors: Mastery Learning, Statistics Education, Online Courses, Teaching Methods
Fuhai An; Jiawei Guo – Education and Information Technologies, 2024
Peer relationships play important roles in middle-school students' individual development. Peer support is indispensable in computer-supported learning contexts. This study is designed to explore the connection between perceived peer support and deeper learning, while examining the mediating role of computer self-efficacy and perceived classroom…
Descriptors: Peer Relationship, Goal Orientation, Mastery Learning, Prediction
Shemy, Nader Said – Journal of Education and e-Learning Research, 2022
This research investigates the effect of different levels of constructivist scaffolding within e-content on undergraduate students' mastery of learning and their attitudes towards it. The research sample involves three experimental groups, each group having thirty (30) students. The first group (Group 1) studied e-content with simple…
Descriptors: Mastery Learning, Undergraduate Students, Scaffolding (Teaching Technique), Constructivism (Learning)
Skromme, B. J.; Wong, M. L.; Redshaw, C. J.; O'Donnell, M. A. – IEEE Transactions on Education, 2022
Contribution: A new operational definition of series connections is given based on elements belonging to the same two meshes, which is properly dual to the usual definition of parallel elements being connected to the same two nodes. Furthermore, computer-based exercises have been developed and tested to teach students about such connections in…
Descriptors: Engineering Education, Electronic Equipment, Computer Assisted Instruction, Coding
Umbara, Uba; Munir; Susilana, R.; Puadi, Evan Farhan Wahyu – International Electronic Journal of Mathematics Education, 2020
This study is about developing and testing the effectiveness of Computer Assisted Instruction (CAI) through multimedia in mathematical representations. Features that are developed using the hippo animator provides learning instructions with the tutorial model. The principle of self-regulated learning and mastery learning are both the strategy in…
Descriptors: Mathematics Instruction, Computer Assisted Instruction, Educational Technology, Animation
Schumaker, Jean B.; Walsh, Lisa D.; Fisher, Joseph B. – Journal of Special Education Technology, 2021
The effects of an interactive multimedia (IM) software program for teaching comma strategies to students with learning disabilities (LD) were determined with regard to the students' sentence-editing and sentence-construction skills. Students with LD at the middle-school and high-school levels were randomly selected in their intact cohorts for the…
Descriptors: Computer Assisted Instruction, Multimedia Instruction, Courseware, Mastery Learning
Rivers, Damian J. – Journal of Educational Computing Research, 2021
Computer-mediated learning initiatives have recently increased due to the novel coronavirus pandemic. Implications are thus created for self-regulation, learning and achievement as computer-mediated learners face unique motivational and metacognitive demands. The current research uses a serial mediation approach to test the effect of goal…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
Sun, Xiaoya; Hu, Guangwei – Language Teaching Research, 2023
This article reports on an experimental study that set out to investigate and compare the effectiveness of a direct and an indirect approach to data-driven learning (DDL) in facilitating Chinese learners' mastery of a challenging type of lexico-grammatical resource (i.e. hedges) in an undergraduate English-as-a-foreign-language (EFL) writing…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Second Language Instruction
Choffin, Benoît; Popineau, Fabrice; Bourda, Yolaine; Vie, Jill-Jênn – International Educational Data Mining Society, 2019
Spaced repetition is among the most studied learning strategies in the cognitive science literature. It consists in temporally distributing exposure to an information so as to improve long-term memorization. Providing students with an adaptive and personalized distributed practice schedule would benefit more than just a generic scheduler. However,…
Descriptors: Intervals, Scheduling, Repetition, Memorization

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