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Showing 1 to 15 of 37 results Save | Export
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Brian W. Miller – Journal of Experimental Education, 2025
Some researchers have theorized that emotions while reading science texts influence learning in a wholistic way, such that overall positive or negative affect leads to different learning outcomes. Other researchers have envisioned that emotions fluctuate during reading such that the degree of cycling impacts the learning outcomes. In this study,…
Descriptors: Psychological Patterns, Reading, Science Education, Learning Processes
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Jianzhong Xu – Social Psychology of Education: An International Journal, 2025
This study aims to explore longitudinal associations among homework expectancy, mastery-approach, homework effort, and mathematics achievement involving middle school students over one school year. Results indicated that there was support for a positive reciprocal influence of mastery-approach and effort; greater initial mastery-approach resulted…
Descriptors: Longitudinal Studies, Learning Processes, Mastery Learning, Expectation
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Emine Cabi; Hacer Türkoglu – International Review of Research in Open and Distributed Learning, 2025
Recent advancements in educational technology have enabled teachers to use learning analytics (LA) and flipped classrooms. The present study investigated the impact of a LA-based feedback system on students' academic achievement and self-regulated learning (SRL) in a flipped learning (FL) environment. The study used a pretest-posttest control…
Descriptors: Learning Analytics, Feedback (Response), Academic Achievement, Independent Study
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Angélique Létourneau; Marion Deslandes Martineau; Patrick Charland; John Alexander Karran; Jared Boasen; Pierre Majorique Léger – npj Science of Learning, 2025
The use of artificial intelligence in education (AIEd) has grown exponentially in the last decade, particularly intelligent tutoring systems (ITSs). Despite the increased use of ITSs and their promise to improve learning, their real educational value remains unclear. This systematic review aims to identify the effects of ITSs on K-12 students'…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems, Elementary Secondary Education
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Ole Eggers Bjaelde; David Boud; Annika Büchert Lindberg – Active Learning in Higher Education, 2025
Many students struggle with making sense of feedback information and in applying and transferring it to new contexts. Research literature suggests that low-performing students are especially at risk because they often do not understand assessment criteria and cannot utilise information they receive. This paper addresses this problem through…
Descriptors: Undergraduate Students, Academic Achievement, Feedback (Response), Evaluation Methods
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Jun Oshima; Ritsuko Oshima; Anthony J. Taiki Kawakubo – Journal of Computer Assisted Learning, 2025
Background: This study aimed to develop and test new analytics for knowledge-building practices from the transactive perspective. Based on a literature review, network analysis was identified as a promising analytical tool for these practices. We observed two aspects of network analysis that could be further developed: the multilayers of networks…
Descriptors: Network Analysis, Concept Formation, Learning Processes, Performance
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Ming Li; Zhonggen Yu – SAGE Open, 2025
As the years progress, blended learning has risen in popularity. In light of a lack of systematic research on the significant intertwined influence on English learners' academic success, this empirical study attempted to reveal critical success factors of students' English learning outcomes in the blended learning environment based on the…
Descriptors: Outcomes of Education, Blended Learning, Self Concept, Student Attitudes
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Feyzi Kaysi – International Journal of Technology in Education and Science, 2025
Due to the frequent utilization of technological applications in contemporary times, the quality of educational processes is rapidly evolving. This study examines students' experiences through simulation software applications. A mixed-method design is employed due to the combined use of qualitative and quantitative data collection methods.…
Descriptors: Computer Simulation, Computer Software, Learning Processes, Technology Uses in Education
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Hui-Zhi Hu; Li-Guo Zhang; Jia-Hua Zhang; Di Zhang; Jia-Rui Xie – Education and Information Technologies, 2025
Computer Science (CS) is a vital subject in K-12 education, and acquiring proficiency in CS is essential for nurturing talent. However, current teaching practices often rely on standardized tests to evaluate academic performance, which may not offer a comprehensive and multidimensional assessment of students' competency in learning CS.…
Descriptors: Evaluation Methods, Student Evaluation, Competence, Computer Literacy
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Yimiao Yan; Yibin Zheng; Xindong Ye – Education and Information Technologies, 2025
As an effective teaching method, digital storytelling has gained significant prominence in the field of education in recent years. In contemporary digital storytelling instruction, stories are often presented through interactive whiteboards, computers, smartphones, or tablets. The introduction of immersive virtual reality (IVR) technology makes…
Descriptors: Teaching Methods, Story Telling, Electronic Learning, Self Control
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Peng Zhang; Jiangxu Li; Su Cai – British Journal of Educational Technology, 2025
Augmented reality (AR) games offer significant potential to enhance learning experiences, yet the impact of when these games are introduced during the educational process remains underexplored. This study explored how the timing of providing the AR game influenced learners' achievement, satisfaction and acceptance. Using a quasi-experimental…
Descriptors: Simulated Environment, Computer Simulation, Educational Technology, Educational Games
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Carl Boel; Tijs Rotsaert; Martin Valcke; Tammy Schellens – Journal of Computer Assisted Learning, 2025
Background: As immersive virtual reality (IVR) is increasingly being used by teachers worldwide, it becomes pressing to investigate how this technology can foster learning processes. Several authors have pointed to this need, as results on the effectiveness of IVR for learning are still inconclusive. Objectives: To address this gap, we first…
Descriptors: Artificial Intelligence, Computer Simulation, Learning Strategies, Middle School Students
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Xiangyi Shi – Discover Education, 2025
Over 10 years of the new college entrance examination reform, the flexible subject selection model has posed challenges to Science, Technology, Engineering, and Math (STEM) majors education in Chinese universities. The relaxation of subject requirements has led to diverse knowledge backgrounds among students, resulting in some lacking a solid…
Descriptors: College Entrance Examinations, STEM Education, Foreign Countries, Context Effect
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Siyu Yu; Xiaoyue Zhang; Rong Tao; Wanyu Huang; Jiangsheng Chen; Xieyu Xiao – SAGE Open, 2025
This study explores the relationship between seating quadrants and student performance, including the role of classroom type in the quadrant effect. Data collected from 131 classes taught at 17 colleges of Northwest A&F University in China were analyzed using the ordinary least squares method. The results revealed that where a student sat in a…
Descriptors: Foreign Countries, Undergraduate Students, Class Size, Large Group Instruction
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Okan Bulut; Guher Gorgun; Seyma Nur Yildirim-Erbasli – Journal of Computer Assisted Learning, 2025
Background: Research shows that how formative assessments are operationalized plays a crucial role in shaping their engagement with formative assessments, thereby impacting their effectiveness in predicting academic achievement. Mandatory assessments can ensure consistent student participation, leading to better tracking of learning progress.…
Descriptors: Formative Evaluation, Academic Achievement, Student Participation, Learning Processes
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