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Ilmari J. A. Puhakka; Markku Niemivirta; Liisa Postareff; Petri Nokelainen – Vocations and Learning, 2025
This study uses a person-centered approach to investigate construction workers' learning at work, focusing on their approaches to learning, self-efficacy beliefs and work engagement and how these vary according to their goal orientation profiles. Survey data were collected from Finnish construction sector employees (N = 1,280) in June 2021. The…
Descriptors: Foreign Countries, Construction Industry, Building Trades, Skilled Workers

Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Peter Pavlis – Online Submission, 2025
This quantitative, quasi-experimental study aimed to propose research-based AI constructivist learning activities by measuring students' self-perceptions of their critical thinking using the Motivational Strategies and Learning Questionnaire (MSLQ). The study utilized the input-experience-output framework to evaluate how these learning pursuits…
Descriptors: Critical Thinking, Artificial Intelligence, Constructivism (Learning), Learning Activities
Qianqi Gui; Supawadee Kanjanakate; Nirat Jantharajit – World Journal of Education, 2024
This article reviews the application of active learning and collaborative learning in music education, focusing on their combined impact on students' musical performance skills and learning attitudes. Through an analysis of existing literature, this study identifies key theoretical perspectives and practical applications of these approaches. A…
Descriptors: Music Education, Active Learning, Cooperative Learning, Music Activities
Hüseyin Ates; Mustafa Köroglu – Journal of Computer Assisted Learning, 2024
Background: Online collaboration tools have been identified as potentially effective means for enhancing student learning, motivation, and engagement in science education. However, their effectiveness in improving science education outcomes among middle school students remains uncertain. Objectives: The study aimed to investigate the impact of…
Descriptors: Cooperative Learning, Comparative Analysis, Academic Achievement, Learner Engagement
Hallinger, Philip – Review of Educational Research, 2023
The goals of this bibliometric review of the Review of Educational Research were to gain insights into the evolution of the journal and identify its key contributions to the education literature. Bibliographic data associated with the full set of 3,022 review articles published in RER from 1931 through 2021 were exported from Scopus for…
Descriptors: Periodicals, Educational Research, Bibliometrics, Instruction
Chen, Shing-lung; Liu, Yeu-Ting – Interactive Learning Environments, 2023
In the language learning literature, games often deal with foreign language vocabulary, but rarely with learning sentences, and barely with conversations. This study set out to examine the effects of game-based learning on foreign language learners' learning of sentences and discourse-level forms in the following settings: "learning with game…
Descriptors: Second Language Learning, Game Based Learning, Educational Games, Learning Motivation
Zixi Li; Chaoran Wang; Curtis J. Bonk – Online Learning, 2024
As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Independent Study, Electronic Learning
Chen, Hong-Ren; Lin, Wen-Shan; Hsu, Tien-Yu; Lin, Tzu-Chun; Chen, Nian-Shing – IEEE Transactions on Learning Technologies, 2023
Research on the use of augmented reality technology in museums is mostly limited to scientific knowledge. The use of wearable device technology learning materials to benefit students in the process of English learning has been somewhat explored, along with differences in students' learning styles and their influence on students' learning…
Descriptors: Educational Games, Museums, Situated Learning, Cognitive Style
Mark Abdelshiheed; Tiffany Barnes; Min Chi – International Journal of Artificial Intelligence in Education, 2024
Two metacognitive knowledge types in deductive domains are procedural and conditional. This work presents a preliminary study on the impact of metacognitive knowledge and motivation on transfer across two Intelligent Tutoring Systems (ITSs), then two experiments on metacognitive knowledge instruction. Throughout this work, we trained students on a…
Descriptors: Metacognition, Intelligent Tutoring Systems, Cognitive Processes, Learning Strategies
Jia-Hua Zhao; Patcharin Panjaburee; Gwo-Jen Hwang; Wararat Wongkia – Interactive Learning Environments, 2024
Scholars have suggested English classrooms with sufficient context and fun activities to increase English performance and promote learning motivation. With the rapid growth of technology-enhanced learning, virtual reality (VR) has become increasingly popular in English learning. Using VR without a well-designed learning environment, however, may…
Descriptors: Foreign Countries, Metacognition, Game Based Learning, Computer Simulation
Yang, Kai-Hsiang; Chen, Hsiao-Hua – Interactive Learning Environments, 2023
Many studies have confirmed that digital game-based learning can effectively improve students' learning motivation and that properly integrating learning strategies into digital games can effectively improve students' learning achievement. However, rare research has been considered the long-term effect of learning retention. In the current study,…
Descriptors: Active Learning, Learning Strategies, Electronic Learning, Game Based Learning
Yuxiao Xie; Ziyi Xie; Siyu Chen; Lei Shen; Zhizhuang Duan – Education and Information Technologies, 2025
The National College English Test Band 4 (CET-4) is a key test to assess the English language ability of Chinese university students, and the success rate of the test is important to improve the quality of their English learning. Artificial intelligence technology can be used to predict and explore the factors influencing the success rate. This…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Second Language Instruction
Bojan Lazarevic; Maja Stojanovic; Jelena Pisarov; Nemanja Bojanic – Journal of Baltic Science Education, 2024
This study examined the impact on the motivation of students toward learning physics upon applying the Nikola Tesla Center (NTC) learning system. The research was conducted using a quasi-experiment with a pretest-posttest non-equivalent control group design. The participants considered were a large group of 1371 students, from various grades and…
Descriptors: Learning Motivation, Science Education, Physics, Science Instruction
Yue Liu; Yuxuan Lu; Shixiu Ren; Danhui Zhang – Research in Science Education, 2024
Web-based inquiry learning provides opportunities for students to take responsibility to regulate their learning. However, due to a lack of science inquiry-specific self-regulated learning (SRL) frameworks, there is insufficient understanding of SRL processes in inquiry-based science learning. This study aims to explore students' SRL patterns by…
Descriptors: Metacognition, Learning Strategies, Science Instruction, Scientific Research