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Conrad Borchers; Alex Houk; Vincent Aleven; Kenneth R. Koedinger – Grantee Submission, 2025
Active learning promises improved educational outcomes yet depends on students' sustained motivation to engage in practice. Goal setting can enhance learner engagement. However, past evidence of the effectiveness of setting goals tends to be limited to non-digital learning settings and does not scale well as it requires active teacher or parent…
Descriptors: Learner Engagement, Educational Benefits, Goal Orientation, Rewards
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Xiaoyan Chu; Minjuan Wang; Jonathan Michael Spector; Nian-Shing Chen; Ching Sing Chai; Gwo-Jen Hwang; Xuesong Zhai – Educational Technology Research and Development, 2025
The Flipped Classroom Model (FCM) has gained widespread acceptance in higher education as an effective pedagogical strategy. Despite its success, the FCM still faces persistent concerns, including a lack of personalized interaction, limited application to introductory courses, and insufficient analysis of the learning process. The integration of…
Descriptors: Flipped Classroom, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Kadir Karakaya; Muhammet Furkan Alpat; Hasan Uçar; Özlem Karakaya; Aras Bozkurt – Technology in Language Teaching & Learning, 2025
The increasing integration of generative Artificial Intelligence (AI) tools, such as ChatGPT, in education has prompted growing interest in their pedagogical potential and the emergent competencies required for their effective use in language instruction. While generative AI is beginning to influence language teaching and learning practices,…
Descriptors: Literature Reviews, Bibliometrics, Algorithms, Language Teachers
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Alida Anderson; Danielle Gervais Sodani; Traci Dennis; Madelyn Smith; Sarah Irvine Belson – SAGE Open, 2025
This study investigated the influence of a high intensity reading tutoring intervention program combining culturally responsive literacy (CRL) and science-of-reading (SOR) practices on primary grade students' literacy motivation. Participants included 10 university-trained tutors working with 38 kindergarten through third-grade students who…
Descriptors: Culturally Relevant Education, Literacy Education, Intervention, Self Concept
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Ying Yang – Education and Information Technologies, 2025
Vocabulary acquisition is crucial for language learning, yet learners face substantial challenges in memorizing extensive vocabulary. Numerous studies suggest Artificial Intelligence (AI)-based technologies could significantly improve vocabulary acquisition among K-12 learners. Therefore, instructors or teachers must be fully informed of the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Vocabulary Development
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Dana Lynn Driscoll; Osman Ozdemir – Writing Center Journal, 2025
Source-based writing skills, which include evaluating, synthesizing, and citing sources, are skills that students are expected to acquire as part of college-level writing. Unfortunately, many multilingual writers (MLWs), especially those in advanced degree programs, lack programmatic support and instruction. Thus, writing centers represent a…
Descriptors: Writing Instruction, Tutoring, Intervention, Instructional Effectiveness
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Gao, Xiang; Xue, Haiping – Best Evidence in Chinese Education, 2021
Using the 2015 data of the China Education Panel Survey (CEPS), the relationship between family socioeconomic background, parent involvement, and shadow education participation was explored through structural equations. The results showed that: parent involvement strengthened shadow education participation; parent involvement played a part in the…
Descriptors: Family Characteristics, Parent Participation, Private Education, Tutoring
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Pakprod, Nuttakan; Jirasatjanukul, Kanokrat; Tumthong, Damrong; Amklad, Prapa; Lekchom, Wipa – International Education Studies, 2021
The objective of this research is to study the results of activities to increase the scores of Ordinary National Education Test. Cluster; teachers of Phetchaburi Rajabhat University comparing the results of Ordinary National Education Test in 2017-2018 and studying the satisfaction of the activities. The target group is 49 schools in Phetchaburi…
Descriptors: Foreign Countries, National Competency Tests, Scores, Test Results
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Assielou, Kouamé Abel; Haba, Cissé Théodore; Kadjo, Tanon Lambert; Goore, Bi Tra; Yao, Kouakou Daniel – Journal of Education and e-Learning Research, 2021
Intelligent Tutoring Systems (ITS) are computer-based learning environments that aim to imitate to the greatest possible extent the behavior of a human tutor in their capacity as a pedagogical and subject expert. One of the major challenges of these systems is to know how to adapt the training both to changing requirements of all kinds and to…
Descriptors: Psychological Patterns, Predictor Variables, Intelligent Tutoring Systems, Secondary School Students
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Van Dam, Drew J.; Eller, James L.; Swezey, James A. – Journal of College Reading and Learning, 2021
Federal service academy students participated in this transcendental phenomenological study regarding their experiences as peer tutors at military federal service academies. Outcomes from this article differ from those presented in the literature regarding civilian higher education peer tutors. The following research question provided the…
Descriptors: Peer Teaching, Tutoring, Military Schools, Student Experience
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Prowse, Alicia; Ruiz Vargas, Valeria; Powell, Stephen – Journal of Further and Higher Education, 2021
Attempts to personalise mass higher education systems have received increasing attention as universities compete to attract students. In the United Kingdom (UK), most higher education institutions have a system of personalised supported learning, usually called personal tutoring. Personal tutors are typically academic members of staff who support…
Descriptors: Foreign Countries, Tutoring, College Students, Student Attitudes
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Sahin, Muhittin; Ulucan, Aydin; Yurdugül, Halil – Education and Information Technologies, 2021
E-learning environments can store huge amounts of data on the interaction of learners with the content, assessment and discussion. Yet, after the identification of meaningful patterns or learning behaviour in the data, it is necessary to use these patterns to improve learning environments. It is notable that designs to benefit from these patterns…
Descriptors: Electronic Learning, Data Collection, Decision Making, Evaluation Criteria
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Tan, Charlene; Yang, JeongA – Critical Studies in Education, 2021
This article draws upon Torfing's dialectics of path-shaping and path-dependency to shed light on the persistent challenge faced by the policymakers to reduce academic burden in Korea. It is argued that the policy agenda to promote a more all-encompassing form of education reflects the path-shaping motivation of the Ministry of Education to modify…
Descriptors: Foreign Countries, Educational Policy, Educational Change, Test Anxiety
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Li, Shan; Zheng, Juan; Lajoie, Susanne P.; Wiseman, Jeffrey – Educational Technology Research and Development, 2021
Prior research has focused extensively on how emotion tendencies (e.g., duration, frequency, intensity, and valence) affect students' performance, but little is known about emotion variability (i.e., the fluctuations in emotion states) and how emotion variability affects performance. In this paper, emotion variability was examined among 21 medical…
Descriptors: Correlation, Emotional Response, Self Management, Learning Processes
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Carstens, Adelia; Rambiritch, Avasha – Perspectives in Education, 2021
The reigning orthodoxy in writing centres has been to avoid directive approaches and embrace non-directive approaches to tutoring. Although this 'myth has been debunked by various writing centre scholars since the late 1990s, many guidebooks on tutoring still adhere to it. We believe that theory-led empirical research on tutor approaches and…
Descriptors: Tutors, Tutoring, Writing Teachers, Laboratories
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