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S. Sageengrana; S. Selvakumar; S. Srinivasan – Interactive Learning Environments, 2024
Students are termed "multitaskers," and it is likely that they easily fall prey to other subjects or topics that most interest them. They occasionally took heed or gave close and thoughtful attention to the lectures they were on. In the current educational system, our young generations receive materials from their leftovers, and their…
Descriptors: Electronic Learning, Dropouts, Student Behavior, Student Interests
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Hanall Sung; Martina A. Rau; Barry D. Van Veen – IEEE Transactions on Learning Technologies, 2024
In many science, technology, engineering, and mathematics (STEM) domains, instruction on foundational concepts heavily relies on visuals. Instructors often assume that students can mentally visualize concepts but students often struggle with internal visualization skills--the ability to mentally visualize information. In order to address this…
Descriptors: Intelligent Tutoring Systems, Visualization, Measures (Individuals), Educational Development
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Milena Kuehnast; Konstantin Schulz; Anke Lüdeling – Cogent Education, 2024
The present paper evaluates the processes of reading acquisition in Latin from the component-skills approach and discusses how advances in reading in modern foreign languages could be adapted to the specific needs of Latin as a historical language. Compared to the holistic and socially embedded approaches to modern foreign language acquisition,…
Descriptors: Latin, Second Language Learning, Reading Skills, Intelligent Tutoring Systems
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Lange, Jochen – Critical Studies in Education, 2021
The paper considers digital tutoring platforms as commercial products in the shadow education sector. In particular, it focuses on relatively new platforms which purportedly act as tutors themselves: web-based learning software providing "intelligent tutoring systems.' The question is not how effective and beneficial these platforms are for…
Descriptors: Intelligent Tutoring Systems, Design, Data, Business
Pavlik, Philip I., Jr.; Eglington, Luke G. – Grantee Submission, 2021
An intelligent textbook may be defined as an interaction layer between the text and the student, helping the student master the content in the text. The Mobile Fact and Concept Training System (MoFaCTS) is an adaptive instructional system for simple content that has been developed into an interaction layer to mediate textbook instruction and so is…
Descriptors: Textbooks, Intelligent Tutoring Systems, Electronic Learning, Instructional Design
Mao, Ye – ProQuest LLC, 2021
Intelligent Tutoring Systems (ITSs) have emerged as valuable systems to promote active learning. It is critical to build accurate student models to support the learning process. In order to provide efficient and effective personalized instructions for students, tracking a student's time-varying knowledge state is essential to an ITS. Prior…
Descriptors: Time Perspective, STEM Education, Intelligent Tutoring Systems, Learning Processes
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Sharma, Priynka; Harkishan, Mayuri – Education and Information Technologies, 2022
Intelligent Tutoring Systems (ITSs) are educational systems that reflect knowledge using artificial intelligence implements. In this paper, we give an outline of the Programming-Tutor architectural design with the core implements on user interaction. This pilot proposal is for designing a model domain of a subset in the computer programming…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Programming, Online Courses
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Nelekar, Shreeya; Abdulrahman, Amal; Gupta, Manik; Richards, Deborah – British Journal of Educational Technology, 2022
Stress has become one of the major reasons for many mental health related issues among students of all age groups, which has resulted in devastating personal losses including suicide. Societal and familial pressure to succeed is high, particularly in developing countries where education is highly valued as a key enabler. As part of stress…
Descriptors: Intelligent Tutoring Systems, Anxiety, Foreign Countries, College Students
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Vesin, Boban; Mangaroska, Katerina; Akhuseyinoglu, Kamil; Giannakos, Michail – ACM Transactions on Computing Education, 2022
Online learning systems should support students preparedness for professional practice by equipping them with the necessary skills while keeping them engaged and active. In that regard, the development of online learning systems that support students' development and engagement with programming is a challenging process. Early career computer…
Descriptors: Adaptive Testing, Online Courses, Programming, Computer Science Education
Reese Butterfuss; Rod D. Roscoe; Laura K. Allen; Kathryn S. McCarthy; Danielle S. McNamara – Grantee Submission, 2022
The present study examined the extent to which adaptive feedback and just-in-time writing strategy instruction improved the quality of high school students' persuasive essays in the context of the Writing Pal (W-Pal). W-Pal is a technology-based writing tool that integrates automated writing evaluation into an intelligent tutoring system. Students…
Descriptors: High School Students, Writing Evaluation, Writing Instruction, Feedback (Response)
Reese Butterfuss; Rod D. Roscoe; Laura K. Allen; Kathryn S. McCarthy; Danielle S. McNamara – Journal of Educational Computing Research, 2022
The present study examined the extent to which adaptive feedback and just-in-time writing strategy instruction improved the quality of high school students' persuasive essays in the context of the Writing Pal (W-Pal). W-Pal is a technology-based writing tool that integrates automated writing evaluation into an intelligent tutoring system. Students…
Descriptors: High School Students, Writing Evaluation, Writing Instruction, Feedback (Response)
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Devika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
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Murat Polat; Ibrahim Hakan Karatas; Nurgün Varol – Leadership and Policy in Schools, 2025
The incorporation of artificial intelligence (AI) into educational management offers personalized learning, adaptive tutoring, and efficient resource management. However, ethical considerations such as fairness, transparency, accountability, and privacy are crucial. This paper reviews literature and conducts a bibliometric analysis on ethical AI…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Leadership
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Punya Mishra; Danah Henriksen; Lauren J. Woo; Nicole Oster – TechTrends: Linking Research and Practice to Improve Learning, 2025
The emergence of generative artificial intelligence (GenAI) has reignited long-standing debates about technology's role in education. While GenAI potentially offers personalized learning, adaptive tutoring, and automated support, it also raises concerns about algorithmic bias, de-skilling educators, and diminishing human connection. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational History, Influence of Technology
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Huey-Min Wu; Tianjiao Yin; Yu-Jung Chan – Educational Technology Research and Development, 2025
Argumentation is fundamental and essential in mathematics education. It promotes deep mathematical understanding and helps students connect abstract ideas logically. However, teachers and students in the traditional teacher-centered classroom face difficulties teaching and learning math argumentation. In this article, a cooperative…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Computer Uses in Education, Mathematics Education
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