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Daryn A. Dever; Megan D. Wiedbusch; Sarah M. Romero; Roger Azevedo – British Journal of Educational Technology, 2024
Intelligent tutoring systems (ITSs) incorporate pedagogical agents (PAs) to scaffold learners' self-regulated learning (SRL) via prompts and feedback to promote learners' monitoring and regulation of their cognitive, affective, metacognitive and motivational processes to achieve their (sub)goals. This study examines PAs' effectiveness in…
Descriptors: Intelligent Tutoring Systems, Scaffolding (Teaching Technique), Independent Study, Prompting
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Gilbert Dizon; John M. Gayed – Cogent Education, 2024
The use of automated writing evaluation (AWE) in second language (L2) writing contexts has increased dramatically, as evidenced by the large body of research published on the topic over the past decade. Considering this, several systematic reviews on AWE have been published. Nevertheless, none of these review studies has exclusively focused on the…
Descriptors: Literature Reviews, Meta Analysis, Second Language Learning, Writing Evaluation
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Maha Issa; Marwa Faraj; Niveen AbiGhannam – IEEE Transactions on Learning Technologies, 2024
ChatGPT is a newly emerging artificial intelligence (AI) tool that can generate and assess written text. In this study, we aim to examine the extent to which it can correctly identify the structure of literature review sections in engineering research articles. For this purpose, we conducted a manual content analysis by classifying paragraphs of…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Research Reports, Literature Reviews
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Jionghao Lin; Eason Chen; Zifei Han; Ashish Gurung; Danielle R. Thomas; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger – International Educational Data Mining Society, 2024
Automated explanatory feedback systems play a crucial role in facilitating learning for a large cohort of learners by offering feedback that incorporates explanations, significantly enhancing the learning process. However, delivering such explanatory feedback in real-time poses challenges, particularly when high classification accuracy for…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Feedback (Response)
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Raviolo, Paolo; Messina, Salvatore; Mauro, Irene; Rondonotti, Marco – Research on Education and Media, 2023
The paper focuses on the topic of e-tutoring within the context of Higher Education. The research target is a framework for e-tutor role and skills in a higher education environment. The research began with a systematic review of the scientific literature with the aim of having a vision on the scientific landscape about the approach of…
Descriptors: Electronic Learning, Tutoring, Tutors, Foreign Countries
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Carvalho, Floran; Henriet, Julien; Greffier, Francoise; Betbeder, Marie-Laure; Leon-Henri, Dana – Journal of Education and e-Learning Research, 2023
This research is part of the Artificial Intelligence Virtual Trainer (AI-VT) project which aims to create a system that can identify the user's skills from a text by means of machine learning. AI-VT is a case-based reasoning learning support system can generate customized exercise lists that are specially adapted to user needs. To attain this…
Descriptors: Learning Processes, Algorithms, Artificial Intelligence, Programming Languages
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Cofer, Rebecca – Journal of College Academic Support Programs, 2023
This study explored the perceived gains of postsecondary peer educators, specifically related to their views of learning, feelings of connection to campus, and feelings of fulfillment as a result of their roles. The peer educator in the campus learning center is a critical but undervalued resource for student success. This is reflected in the…
Descriptors: Peer Teaching, Tutors, Tutoring, Supplementary Education
Emily Jane Pucker – ProQuest LLC, 2023
This dissertation investigates the experiences of multilingual writers in a writing center at a major research university based in the United States. It includes interviews with the writers and with the tutors who serve multilingual writers, to understand if these writers are getting what they need in the writing center to be successful in their…
Descriptors: Writing (Composition), Laboratories, Multilingualism, Research Universities
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Yuhui Yang; Hao Zhang; Huifang Chai; Wei Xu – Interactive Learning Environments, 2023
The COVID-19 pandemic has accelerated the transformation of education forms, and the combination of online and offline teaching has become the core development direction of university teaching at present and in the future. Therefore, appropriate teaching space is urgently needed to support the practice of blended teaching. Firstly, this paper…
Descriptors: Intelligent Tutoring Systems, Instructional Design, Universities, Blended Learning
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Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali; Logan De Ley; Kyle Weldon; April Murphy; Steve Ritter – Grantee Submission, 2023
Large Language Models have recently achieved high performance on many writing tasks. In a recent study, math word problems in Carnegie Learning's MATHia adaptive learning software were rewritten by human authors to improve their clarity and specificity. The randomized experiment found that emerging readers who received the rewritten word problems…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Artificial Intelligence, Intelligent Tutoring Systems
Hyeon-Ah Kang; Adam Sales; Tiffany A. Whittaker – Grantee Submission, 2023
Increasing use of intelligent tutoring systems in education calls for analytic methods that can unravel students' learning behaviors. In this study, we explore a latent variable modeling approach for tracking learning flow during computer-interactive artificial tutoring. The study considers three models that give discrete profiles of a latent…
Descriptors: Intelligent Tutoring Systems, Algebra, Educational Technology, Learning Processes
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Monica E. Romero; Matthew K. Burns; Hoi Ting Wan; Heba Abdelnaby; Tiffany J. Crawford – Psychology in the Schools, 2025
This meta-analysis investigated the effects of peer tutoring interventions on the academic achievement of Emergent Bilingual (EB) students from preschool through Grade 12. Fourteen studies, including peer-reviewed journal articles and unpublished dissertations published between 2010 and 2021, were analyzed based on study characteristics, student…
Descriptors: Peer Teaching, Tutoring, Bilingual Students, Preschool Children
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Yueyun Zhang; Jiankun Liu – Youth & Society, 2025
The recent increase in mental health problems and private tutoring (also called shadow education) among adolescents has been widely documented. This study relates involvement in private tutoring to depressive symptoms using data from a nationally representative sample of middle school students (grades 7-9, M[subscript age] = 13.90, N = 25,862) in…
Descriptors: Foreign Countries, Tutoring, Adolescents, Middle School Students
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Xinyi Wu; Xiaohui Chen; Xingyang Wang; Hanxi Wang – Education and Information Technologies, 2025
With the application of virtual venues in the field of education, numerous educational empirical studies have examined the impact of deep learning in the learning environment of virtual venues, but the conclusions are not always in agreement. The present study adopted the meta-analysis method and RStudio software to test the overall effect of 45…
Descriptors: Literature Reviews, Meta Analysis, Artificial Intelligence, Intelligent Tutoring Systems
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Tiffany-Anne M. Elliott – Assessment Update, 2025
The robust body of literature on the benefits of tutoring services clearly indicates a strong correlation between tutoring and student success. The students who most need tutoring, however, are least likely to utilize it. Because of this challenge, a writing center serving a medium-sized Midwestern community college explored how implementing…
Descriptors: Community Colleges, Writing (Composition), Laboratories, Pilot Projects
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