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Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – International Journal of Artificial Intelligence in Education, 2025
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
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Anne Barwasser; Kristie Asaro-Saddler; Bruce Saddler; Kerstin Nobel; Matthias Grünke – Psychology in the Schools, 2025
Writing proficiency is a global educational challenge, particularly in diverse student populations. This study examined the effectiveness of a multi-component intervention based on the Self-Regulated Strategy Development (SRSD) framework, incorporating graphic organizers, storytelling, and positive reinforcement. Peer tutoring was later integrated…
Descriptors: Foreign Countries, Writing Skills, Writing (Composition), Elementary School Students
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Isabel Polon; Alexandra Haralampoudis; Theodore Joyce – Peabody Journal of Education, 2025
A growing literature suggests the combination of financial aid, academic support and student advising may be needed to ensure that students, especially low-income students, not only enroll in college but obtain a degree. Established at CUNY in 1965, the Search for Education, Elevation, and Knowledge (SEEK) program is a legislatively mandated…
Descriptors: Academic Achievement, College Freshmen, College Bound Students, Economically Disadvantaged
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Calen R. Clifton; Mary E. Laski – Society for Research on Educational Effectiveness, 2025
Background and context: High-dosage in-person tutoring is a popular intervention with proven effects. However, its utility is at least partially limited by concerns regarding implementation at scale (Groom-Thomas et al., 2023; Kraft et al., 2021). Technology may mediate these concerns by remotely connecting students to tutors, thereby reducing…
Descriptors: Tutoring, Intervention, Electronic Learning, Research and Development
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Kanagarajan, Sujith; Ramakrishnan, Sivakumar – Education and Information Technologies, 2018
Ubiquitous Learning Environment (ULE) has been becoming a mobile and sensor based technology equipped environment that suits the modern world education discipline requirements for the past few years. Ambient Intelligence (AmI) makes much smarter the ULE by the support of optimization and intelligent techniques. Various efforts have been so far…
Descriptors: Electronic Learning, Educational Technology, Intelligent Tutoring Systems, Problems
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Charoenroop, Pattrawut – rEFLections, 2021
Private tutoring has, over the past decades, been a key educational phenomenon for Thai college-bound students, having received both praise and condemnation. This qualitative case study shows that private English tutoring in Thailand has expanded beyond the 'shadow education' discussed by Bray (1999). Five tutor-student pairs were interviewed via…
Descriptors: Second Language Instruction, English (Second Language), Private Education, Tutoring
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Namkung, Jessica M.; Bricko, Nicole – Journal of Learning Disabilities, 2021
The purpose of this study was to examine the effects of algebraic equation solving intervention for sixth graders with mathematics learning difficulties (MD). A total of 48 students with MD were randomly assigned to either the algebraic equation solving intervention, "Mystery Math" (n = 24) or control condition (n = 24). The…
Descriptors: Algebra, Equations (Mathematics), Problem Solving, Mathematics Skills
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Wang, Dongqing; Han, Hou – Journal of Computer Assisted Learning, 2021
With the development of a technology-supported environment, it is plausible to provide rich process-oriented feedback in a timely manner. In this paper, we developed a learning analytics dashboard (LAD) based on process-oriented feedback in iTutor to offer learners their final scores, sub-scale reports, and corresponding suggestions on further…
Descriptors: Learning Analytics, Educational Technology, Feedback (Response), Intelligent Tutoring Systems
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Inan, Fethi Ahmet; Ari, Fatih; Flores, Raymond; Zaier, Amani; Arslan-Ari, Ismahan – International Journal on E-Learning, 2021
This study explored the effectiveness of an adaptive web-based learning tutorial designed to teach three modules of a college level introductory statistics course. Specifically, the impact of the tutorial on student knowledge, motivation, and study time was examined. One hundred thirty four college students were randomly assigned to study from…
Descriptors: Web Based Instruction, Instructional Effectiveness, College Students, Introductory Courses
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Harati, Hoda; Sujo-Montes, Laura; Tu, Chih-Hsiung; Armfield, Shadow J. W.; Yen, Cherng-Jyh – Education Sciences, 2021
Adaptive learning is an educational method that uses computer algorithms and artificial intelligence (AI) to customize learning materials and activities based on each user's model. Adaptive learning has been used for more than 20 years. However, it is still unique, and no other system could bring more or even similar capabilities than the ones…
Descriptors: Intelligent Tutoring Systems, Questionnaires, Self Management, Learning Strategies
Benz, Sarah A.; Powell, Sarah R. – Remedial and Special Education, 2021
Some elementary students may exhibit challenging externalizing or internalizing behaviors in addition to difficulty with mathematics. In this study, we explored the behavioral patterns of 441 third-grade students with and without mathematics difficulty (MD). Compared with students without MD, students with MD demonstrated higher rates of…
Descriptors: Word Problems (Mathematics), Intervention, Mathematics Instruction, Learning Problems
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Sales, Adam C.; Pane, John F. – Journal of Research on Educational Effectiveness, 2021
Randomized evaluations of educational technology produce log data as a bi-product: highly granular data on student and teacher usage. These datasets could shed light on causal mechanisms, effect heterogeneity, or optimal use. However, there are methodological challenges: implementation is not randomized and is only defined for the treatment group,…
Descriptors: Educational Technology, Use Studies, Randomized Controlled Trials, Mathematics Curriculum
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Okinyi, Rachel A.; Nyerere, Jackline K. A.; Kariuki, Samson I. – African Educational Research Journal, 2021
The efficiency of educational institutions is critical in the justification of resource allocation and use. However, some developing countries like Kenya face efficiency challenges regarding resource utilisation and the flow of students through the school system at various levels of education and programs. Past research in Kenya has focused more…
Descriptors: Foreign Countries, Vocational Education, Developing Nations, Resource Allocation
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Mousavi, Amin; Schmidt, Matthew; Squires, Vicki; Wilson, Ken – International Journal of Artificial Intelligence in Education, 2021
Greer and Mark's (2016) paper suggested and reviewed different methods for evaluating the effectiveness of intelligent tutoring systems such as Propensity score matching. The current study aimed at assessing the effectiveness of automated personalized feedback intervention implemented via the Student Advice Recommender Agent (SARA) in a first-year…
Descriptors: Automation, Feedback (Response), Intervention, College Freshmen
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Aluko, Folake Ruth – Open Praxis, 2021
Effective student support is key in stemming the dropout in distance education. This article reports on the student support provision in a hybrid teacher education programme. Altogether 160 participants were purposively selected; 126 completed a survey, 33 (30 students and 3 administrative staff) took part in six focus group discussions; and one…
Descriptors: Blended Learning, Teacher Education Programs, Distance Education, Tutoring
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