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Assis, Luciana; Rodrigues, Ana Carolina; Vivas, Alessandro; Pitangui, Cristiano Grijó; Silva, Cristiano Maciel; Dorça, Fabiano Azevedo – International Journal of Distance Education Technologies, 2022
The automation of learning object recommendation and learning styles detection processes has attracted the interest of many researchers. Some works consider learning styles to recommend learning objects. On the other hand, other works automatically detect learning styles, analyzing the behavior of students in intelligent tutorial systems in…
Descriptors: Research Reports, Instructional Materials, Correlation, Cognitive Style
Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Ying Fang; Micah Watanabe; Natalie Newton; Kathryn S. McCarthy; Laura K. Allen; Rod D. Roscoe – Grantee Submission, 2022
The Interactive Strategy Training for Active Reading and Thinking (iSTART) game-based intelligent tutoring system (ITS) was developed with a foundation of comprehension theory and principles of learning science to improve students' comprehension of complex scientific texts. iSTART has been shown to improve reading comprehension for learners from…
Descriptors: Reading Strategies, Reading Instruction, Reading Programs, Reading Comprehension
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Nicholas A. Vest; Elena M. Silla; Anna N. Bartel; Tomohiro Nagashima; Vincent Aleven; Martha W. Alibali – Grantee Submission, 2022
One pedagogical technique that promotes conceptual understanding in mathematics learners is self-explanation integrated with worked examples (e.g., Rittle-Johnson et al., 2017). In this work, we implemented self-explanations with worked examples (correct and erroneous) in a software-based Intelligent Tutoring System (ITS) for learning algebra. We…
Descriptors: Algebra, Mathematics Instruction, Intelligent Tutoring Systems, Middle School Students
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Mohsen Mahmoudi-Dehaki; Nasim Nasr-Esfahani – Journal of Advanced Academics, 2025
This study examined the efficacy and acceptability of human-artificial intelligence (AI) hybrid tutoring in improving the writing skills of twice exceptional (2e) bilingual students with motor dysgraphia and attention-deficit hyperactivity disorder (ADHD) by employing an explanatory sequential design. In the quantitative phase, 12 2e bilingual…
Descriptors: Foreign Countries, Twice Exceptional, Bilingual Students, Attention Deficit Hyperactivity Disorder
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Caitlin Mills, Editor; Giora Alexandron, Editor; Davide Taibi, Editor; Giosuè Lo Bosco, Editor; Luc Paquette, Editor – International Educational Data Mining Society, 2025
The University of Palermo is proud to host the 18th International Conference on Educational Data Mining (EDM) in Palermo, Italy, from July 20 to July 23, 2025. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New Goals, New Measurements, New Incentives to Learn." The theme…
Descriptors: Artificial Intelligence, Data Analysis, Computer Science Education, Technology Uses in Education
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Meng Xia; Robin Schmucker; Conrad Borchers; Vincent Aleven – Grantee Submission, 2025
Mastery learning improves learning proficiency and efficiency. However, the overpractice of skills--students spending time on skills they have already mastered--remains a fundamental challenge for tutoring systems. Previous research has reduced overpractice through the development of better problem selection algorithms and the authoring of focused…
Descriptors: Mastery Learning, Skill Development, Intelligent Tutoring Systems, Technology Uses in Education
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Eva A. Alfoldi – Journal of Education for Business, 2024
In the COVID-19 era, "Yellowdig" (an online discussion board with social media-like features) has increasingly risen to prominence in higher education. Reflecting on a multi-year experiment involving 14 international business and marketing courses, I argue that Yellowdig remains a valuable tool for learning even after returning to…
Descriptors: Learner Engagement, Interpersonal Relationship, Discussion Groups, Online Courses
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Cindy Peng; Conrad Borchers; Vincent Aleven – Grantee Submission, 2024
Prior studies identified effective, but mainly non-digital, homework aids. This research involved 18 middle school students in a lo-fi prototyping study to integrate traditional homework support tools with intelligent tutoring systems (ITS), leveraging rich log data for personalized learning. Feature investigations in standardized diaries, goal…
Descriptors: Middle School Students, Intelligent Tutoring Systems, Homework, Design
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Zhihong Xu; Kausalai Wijekumar; Qing Wang; Robin Irey; Hua Liang – Language Teaching Research, 2024
Underdeveloped reading comprehension skills can limit academic success; a particular challenge for English language learners (ELLs). The current study investigated whether a web-based text structure strategy, delivered via the Intelligent Tutoring of Structure Strategy (ITSS) program to adult Chinese ELLs, improved students' use of reading…
Descriptors: Reading Strategies, Reading Comprehension, Intervention, Reading Instruction
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Ashita Chadha – Journal of Interdisciplinary Studies in Education, 2024
In this study, I explore the transformative potential of artificial intelligence (AI) and emerging technologies in higher education, focusing on case studies and pedagogical innovations that are reshaping the learning experience. Through an in-depth analysis of key initiatives -- such as Stanford University's AI-driven personalized learning…
Descriptors: Foreign Countries, Artificial Intelligence, Higher Education, Technology Integration
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Kumar, Amruth N. – International Educational Data Mining Society, 2023
Is there a pattern in how students solve Parsons puzzles? Is there a difference between the puzzle-solving strategies of C++ and Java students? We used Markov transition matrix to answer these questions. We analyzed the solutions of introductory programming students solving Parsons puzzles involving if-else statements and while loops in C++ and…
Descriptors: Markov Processes, Puzzles, Introductory Courses, Computer Science Education
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Huang, Xiaoshan; Li, Shan; Wang, Tingting; Pan, Zexuan; Lajoie, Susanne P. – Journal of Computer Assisted Learning, 2023
Background: Medical students use a variety of self-regulated learning (SRL) strategies in different medical reasoning (MR) processes to solve patient cases of varying complexity. However, the interplay between SRL and MR processes is still unclear. Objectives: This study investigates how self-regulated learning (SRL) and medical reasoning (MR)…
Descriptors: Medical Students, Self Management, Problem Solving, Logical Thinking
Emily Dux Speltz – ProQuest LLC, 2023
Writing is an essential skill for success in many academic and professional settings. Despite receiving individualized feedback on their writing, many students struggle with writing in postsecondary education. This dissertation addresses this gap by focusing on the writing process--the moment-by-moment actions taken during writing--rather than the…
Descriptors: Writing Instruction, Individualized Instruction, Automation, Feedback (Response)
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Jatin Garg; Kashish Garg – Journal on School Educational Technology, 2023
This study explores the role of education in a democracy in order to create informed people, advance democratic values, and enable active participation in the political process. It provides a comprehensive overview of the Indian political landscape, highlighting the political framework, important parties, hot button issues, and challenges to…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Political Science
Jonathan Brazil; Suijing Yang; Fabienne van der Kleij – Australian Council for Educational Research, 2025
This document provides guiding principles and practical examples for using AI in teaching and learning. Underpinned by a human-centred approach, the PATH principles serve as key guidance to ensure the ethical and effective integration of AI systems into teaching and learning. The PATH principles are: Promote teaching and learning; Advance…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Educational Principles
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