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Showing 1 to 15 of 71 results Save | Export
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Zi-Gang Ge; Qing Li – Education and Information Technologies, 2025
The present study explores the impact of different levels of competition involved in gamified learning on adult e-learners' intrinsic motivation, learning engagement, and language learning performance. One hundred and twenty participants were evenly and randomly assigned to two groups. A gamified learning procedure with a higher level of…
Descriptors: Gamification, Adult Students, Adult Learning, Electronic Learning
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De-Chih Lee; Ching-Yi Chang – Education and Information Technologies, 2025
During the digital age, self-directed learning has emerged as an effective teaching strategy in designing class activities within the educational sphere, prompting an investigation into its impact on the effectiveness of instruction in the K-12 context. This article presents a meta-analysis aimed at examining the efficacy of self-directed learning…
Descriptors: Elementary School Students, Secondary School Students, Independent Study, Active Learning
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Yifat Davidoff; Wurud Jayusi – Education and Information Technologies, 2025
Higher Education has serious challenges regarding academic online teaching-learning-evaluation methods and tools. This study examined 980 students from diverse disciplines about their social-emotional-psychological (SEP) perceptions. We also examined the presence and desirability of 14 TLE (teaching-learning-evaluation) tools in the online…
Descriptors: Instructional Effectiveness, Electronic Learning, Learning Strategies, Student Attitudes
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Lingyun Huang; Juan Zheng; Susanne P. Lajoie; Yuxin Chen; Cindy E. Hmelo-Silver; Minhong Wang – Education and Information Technologies, 2024
Learning analytics dashboards (LADs) are often used to display real-time data indicating student learning trajectories and outcomes. Successful use of LADs requires teachers to orient their dashboard reviews with clear goals, apply appropriate strategies to interpret visualized information on LADs and monitor and evaluate their interpretations to…
Descriptors: Learning Analytics, Educational Technology, Self Management, Learning Strategies
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Long Zhang; Khe Foon Hew – Education and Information Technologies, 2025
Although self-regulated learning (SRL) plays an important role in supporting online learning performance, the lack of student self-regulation skills poses a persistent problem to many educators. Recommender systems have the potential to promote SRL by delivering personalized feedback and tailoring learning strategies to meet individual learners'…
Descriptors: Independent Study, Electronic Learning, Online Courses, Artificial Intelligence
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Jichao Xue; Jiaxin Liu; Qingshu Yuan; Zhengwei Yao; Jin Xu; Zhigeng Pan – Education and Information Technologies, 2025
To optimize learning experience and improve learning performance, current virtual experimental systems usually assist students with stepwise guidance before operations and feedback after them. However, stepwise and excessive guidance can lead to student overreliance, while late feedback cannot avoid potential errors during experimental learning.…
Descriptors: College Students, Chemistry, Science Instruction, Science Experiments
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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
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Xiaoqing Xu; Wei Zhao; Yue Li; Lifang Qiao; Jinhong Tao; Fengjuan Liu – Education and Information Technologies, 2025
The success of online learning relies on college students' self-regulated learning. The common visualizations (e.g., presentation learning behaviors' frequency and duration) are widely used to enhance online self-regulated learning. But most college students still have difficulty in accurately understanding their learning patterns and…
Descriptors: Individualized Instruction, Electronic Learning, College Students, Visualization
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Shuaizhen Jin; Zheng Zhong; Kunyan Li; Chen Kang – Education and Information Technologies, 2024
This study utilizes a comparative experimental research method to investigate the effect of the Predict, Observe, Explain, and Evaluate (POEE) learning strategy in an immersive virtual environment (IVE) on two types of learners with different levels of prior knowledge. One type referred to as Highly Experienced and Knowledgeable (HEK) learners,…
Descriptors: Active Learning, Inquiry, Prior Learning, Electronic Learning
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Yu-Chen Kuo; Po-Jung Chang – Education and Information Technologies, 2024
In recent years, many schools have started implementing remote teaching due to the impact of the COVID-19. Flipped classroom has been proven to be a student-centered teaching method that can effectively improve learning effectiveness. Nonetheless, if students fail to watch the instructional videos prior to class or encounter difficulties during…
Descriptors: Flipped Classroom, Electronic Learning, Cooperative Learning, Problem Solving
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Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
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Ying-Lien Lin; Wei-Tsong Wang; Min-Ju Hsieh – Education and Information Technologies, 2024
Self-regulated learning (SRL) strategies have been identified as a valuable component of digital game-based learning system (GBLS) activities. However, few studies have focused on the effects of information feedback on self-efficacy, SRL strategies, and perceived and actual learning effectiveness. Social cognitive and SRL theories describe the…
Descriptors: Self Efficacy, Self Management, Learning Strategies, Game Based Learning
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Galip Kartal; Hatice Okyar – Education and Information Technologies, 2025
The present study carried out a bibliometric analysis of L2 eye-tracking research. VOSviewer, CiteSpace, and CitNetExplorer were used for the analysis. The data were 245 articles indexed by Social Sciences Citation Index (SSCI). The study identified the research topics, trends, promising research directions, influential authors and documents, and…
Descriptors: Bibliometrics, Eye Movements, Second Language Learning, Language Research
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Gülay Öztüre Yavuz; Gökhan Akçapinar; Hatice Çirali Sarica; Yasemin Koçak Usluel – Education and Information Technologies, 2024
This study aims to develop a predictive model for predicting gifted students' engagement levels and to investigate the features that are important in such predictions. Features reflecting students' emotions, social-emotional learning skills, learning approaches and video-watching behaviours were used in the prediction models. The study group…
Descriptors: Secondary School Students, Academically Gifted, Gifted Education, Learner Engagement
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Jodie Torrington; Matt Bower; Emma C. Burns – Education and Information Technologies, 2024
The COVID-19 pandemic and the resultant switch to remote learning enabled a natural experiment to observe and compare the self-regulation strategies used by elementary students in hypermedia environments. Specifically, the same participants (N = 48, M[subscript age] = 10.75) were observed in two learning contexts: a traditional classroom with…
Descriptors: Elementary School Students, Metacognition, COVID-19, Pandemics
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