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Albornoz-De Luise, Romina Soledad; Arevalillo-Herraez, Miguel; Arnau, David – IEEE Transactions on Learning Technologies, 2023
In this article, we analyze the potential of conversational frameworks to support the adaptation of existing tutoring systems to a natural language form of interaction. We have based our research on a pilot study, in which the open-source machine learning framework Rasa has been used to build a conversational agent that interacts with an existing…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Artificial Intelligence, Models
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Nurassyl Kerimbayev; Karlygash Adamova; Rustam Shadiev; Zehra Altinay – Smart Learning Environments, 2025
This review was conducted in order to determine the specific role of intelligent technologies in the individual learning experience. The research work included consider articles published between 2014 and 2024, found in Web of Science, Scopus, and ERIC databases, and selected among 933 ?articles on the topic. Materials were checked for compliance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Computer Software, Databases
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Todd Pugatch; Elizabeth Schroeder; Nicholas Wilson – Educational Evaluation and Policy Analysis, 2025
We design a commitment device for college students, "Study More Tomorrow," conduct a randomized controlled trial testing a model of its takeup, and measure its effect on tutoring attendance and grades. The device commits students to attend tutoring if their midterm grade falls below a prespecified threshold. Unlike other commitment…
Descriptors: College Students, Tutoring, Grades (Scholastic), Performance Contracts
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Fabian Gunnars – Technology, Knowledge and Learning, 2025
The present study connects broad educational conceptualizations of teaching method challenges with a detailed and innovative approach to students and teacher collaboration seen in cognitive stress measurements from wearable devices. The approach encompasses variances of collaborative performance in schools through uniquely correlated variables of…
Descriptors: Teaching Methods, Instructional Innovation, Teacher Collaboration, Teacher Student Relationship
Mark Duffy; Kri Burkander; Molly Pileggi – Annenberg Institute for School Reform at Brown University, 2025
As community colleges and systems move away from developmental education and encourage students to enroll in introductory, college-level coursework to complete their math and English requirements, it is critical to provide students with additional academic supports to help them succeed. One such model is the corequisite course, a model that offers…
Descriptors: Community Colleges, Prerequisites, Required Courses, Academic Support Services
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Kevin Wai Ho Yung – Modern Language Journal, 2025
The recent dynamic turn in second language acquisition research has called for an investigation in learner agency by taking its complex dynamic nature into account. Informed by complex dynamic systems theory (CDST), this study investigated the agency of learners in a complex educational context where mainstream schooling and private tutoring…
Descriptors: Systems Approach, Electronic Learning, Online Courses, Tutoring
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Liqing Qiu; Lulu Wang – IEEE Transactions on Education, 2025
In recent years, knowledge tracing (KT) within intelligent tutoring systems (ITSs) has seen rapid development. KT aims to assess a student's knowledge state based on past performance and predict the correctness of the next question. Traditional KT often treats questions with different difficulty levels of the same concept as identical…
Descriptors: Intelligent Tutoring Systems, Technology Uses in Education, Questioning Techniques, Student Evaluation
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Abdullah Al-Abri – Education and Information Technologies, 2025
This study explores the impact of ChatGPT, an advanced Large Language Model (LLM), as a virtual tutor in online education across five key dimensions: answering questions, writing assistance, study resources, exam preparation, and availability. Utilizing an experimental design, 68 undergraduate students from a public university interacted with…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Intelligent Tutoring Systems
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James ChunHan Loi; Stephen John Quinn; Ida Fatimawati Adi Badiozaman – European Journal of Education, 2025
ABSTRACT Global research on shadow education has gained significant attention over the past three decades. The term was coined in a 1991 research project report in Malaysia, but, despite expanded global research, little follow-up research was conducted in that country. Drawing on a comparative analysis of senior secondary students surveyed in 2022…
Descriptors: Foreign Countries, Tutoring, Private Education, Supplementary Education
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Jane Carter; Ben Derrick – Teacher Education Advancement Network Journal, 2025
Teaching reading is a key element of initial teacher education programmes in England. This study contributes to the research about the most effective way to ensure preservice teachers have the necessary skills and knowledge to teach reading. One-to-one reading tutoring of children has been demonstrated to have some positive effects on preservice…
Descriptors: Preservice Teachers, Tutoring, Tutorial Programs, Intervention
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Yanping Pei; Adam C. Sales; Hyeon-Ah Kang; Tiffany A. Whittaker – International Educational Data Mining Society, 2025
Fully-Latent Principal Stratification (FLPS) offers a promising approach for estimating treatment effect heterogeneity based on patterns of students' interactions with Intelligent Tutoring Systems (ITSs). However, FLPS relies on correctly specified models. In addition, multiple latent variables, such as ability, participation, and epistemic…
Descriptors: Intelligent Tutoring Systems, Measurement, Computation, Simulation
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Yanping Pei; Adam Sales; Hyeon-Ah Kang; Tiffany Whittaker – Society for Research on Educational Effectiveness, 2025
As educational technology (EdTech) grows in prominence, so does the urgency to test the efficacy of computer-based learning tools in the field. To answer this need, education researchers have conducted a large number of randomized controlled trials (RCTs) that generate high-quality evidence of EdTech effectiveness. The most important policy goal…
Descriptors: Intelligent Tutoring Systems, Measurement, Computation, Simulation
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Jennifer Kidd; Keri Parker; Samantha Myers – Journal of Interactive Learning Research, 2025
This study examines pre-service teachers' (PSTs') responses to using AI to review their writing. As part of a class activity, PSTs prompted an AI-chatbot for feedback and revisions on a short essay based on a provided assignment rubric. They then exchanged papers with a classmate and completed a peer review. Afterward, they reflected on the pros…
Descriptors: Artificial Intelligence, Preservice Teachers, Student Attitudes, Writing Evaluation
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Emma Wainwright; John Barker; Anne Chappell; Ellen McHugh – Education 3-13, 2025
Private tuition, often referred to as 'shadow education', is commercially provided, supplementary education which has been variously constructed to support children in their academic abilities. As growing numbers of children are engaging with tuition, it is receiving greater scrutiny and scholarly attention. This paper explores the growth and role…
Descriptors: Foreign Countries, Private Education, Elementary School Students, Tutoring
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Jionghao Lin; Mladen Rakovic; Yuheng Li; Haoran Xie; David Lang; Dragan Gaševic; Guanliang Chen – British Journal of Educational Technology, 2024
Researchers have demonstrated that dialogue-based intelligent tutoring systems (ITS) can be effective in assisting students in learning. However, little research has attempted to explore the necessity of equipping dialogue-based ITS with one of the most important capabilities of human tutors, that is, maintaining polite interactions with students,…
Descriptors: Prosocial Behavior, Tutoring, Interpersonal Communication, Pragmatics
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