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Philip Uys; Mike Douse – Educational Planning, 2025
Education is undergoing a fundamental transformation, necessitated and made possible by contemporary technology, notably Artificial Intelligence. Central to this transformation is the realisation that the post primary learners will lead in terms of what each will study, how, where, when and to what purpose. This will entail a refocussed and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Role, Curriculum
Large Language Models and Intelligent Tutoring Systems: Conflicting Paradigms and Possible Solutions

Punya Mishra; Danielle S. McNamara; Gregory Goodwin; Diego Zapata-Rivera – Grantee Submission, 2025
The advent of Large Language Models (LLMs) has fundamentally disrupted our thinking about educational technology. Their ability to engage in natural dialogue, provide contextually relevant responses, and adapt to learner needs has led many to envision them as powerful tools for personalized learning. This emergence raises important questions about…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
Yong Zhao; Ruojun Zhong – ECNU Review of Education, 2025
Purpose: The purpose of this article is to analyze educational changes, in particular transformational changes, and suggest a new approach to shift the paradigm in education using an ecological conceptual framework. Design/Approach/Methods: An ecological analysis of two key factors in education: prescribed curriculum and student autonomy.…
Descriptors: Educational Change, Holistic Approach, Personal Autonomy, Curriculum
Jill E. Stefaniak; Stephanie L. Moore – Online Learning, 2024
Generative AI presents significant opportunities for instructional designers to create content and personalize online learning environments. Alongside its benefits, generative AI also poses ethical considerations and potential risks, such as perpetuating biases or disrupting the learning process. Navigating these complexities requires an approach…
Descriptors: Artificial Intelligence, Inclusion, Electronic Learning, Technology Uses in Education
Erika B. Lewy – MDRC, 2024
In postsecondary research, comprehensive approaches to student success (CASS) programs are shown to have the greatest impact on student outcomes. At the core of a CASS program is personalized and proactive coaching in which coaches actively reach out to students and meet to discuss personal and academic issues. MDRC's evaluation of one CASS…
Descriptors: Coaching (Performance), College Students, College Programs, Academic Achievement
Jewoong Moon; Unggi Lee; Junbo Koh; Yeil Jeong; Yunseo Lee; Gyuri Byun; Jieun Lim – Technology, Knowledge and Learning, 2025
This paper reviews the role of Generative Artificial Intelligence (GenAI) in transforming the landscape of educational game design. The recent rise and development of GenAI have expanded its applications in creating dynamic and interactive game systems. This review explores the potential of GenAI to craft personalized educational game designs that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Instructional Design
Stephanie Seiler – Canadian Journal for the Scholarship of Teaching and Learning, 2024
Calls to increase active learning, an approach that positions students in the center of their learning experience, have increased considerably in recent decades. In response, there has been substantial work to expand our understanding and implementation of active learning approaches in many educational spaces. However, much of this instructional…
Descriptors: Higher Education, Active Learning, Curriculum Design, Curriculum Based Assessment
Julien Kloeg; Morten Timmermann Korsgaard – Educational Philosophy and Theory, 2025
In this paper, we argue that the attempts to centre education in one of its three constitutive aspects that have long determined the discourse on the purpose and aims of education run the risk of one-sidedness. Theories of student-centred education have been in vogue for many centuries now, having been born out of a polemic against teacher-centred…
Descriptors: Role of Education, Educational Philosophy, Student Centered Learning, Transfer of Training
A. N. Varnavsky – IEEE Transactions on Learning Technologies, 2024
The most critical parameter of audio and video information output is the playback speed, which affects many viewing or listening metrics, including when learning using tutoring systems. However, the availability of quantitative models for personalized playback speed control considering the learner's personal traits is still an open question. The…
Descriptors: Hierarchical Linear Modeling, Intelligent Tutoring Systems, Individualized Instruction, Electronic Learning
Amanda Bastoni; Luis Pérez; Cassandra Sell – Adult Literacy Education, 2024
Adult education instructors are as diverse as the students they teach. Their professional backgrounds, training, licenses, and modalities of teaching (online, in person, open vs. closed enrollment, etc.) vary widely, which can make the planning of meaningful, effective professional development challenging. Universal Design for Learning (UDL) is a…
Descriptors: Access to Education, Individualized Instruction, Pacing, Faculty Development
Andreas de Barros; Alejandro J. Ganimian – Journal of Research on Educational Effectiveness, 2024
This is one of the first studies to evaluate the impact of computer-based individualized instruction in a developing country. We randomly assigned 1,528 students in grades 6-8 in 15 "model" public schools in Rajasthan, India who were using a computer-adaptive learning software to: a control group, in which they were only able to access…
Descriptors: Foreign Countries, Individualized Instruction, Computer Assisted Instruction, Grade 6
Nicolas J. Tanchuk; Rebecca M. Taylor – Educational Theory, 2025
AI tutors are promised to expand access to personalized learning, improving student achievement and addressing disparities in resources available to students across socioeconomic contexts. The rapid development and introduction of AI tutors raises fundamental questions of epistemic trust in education. What criteria should guide students' critical…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Tutors
Tanya Riordan; Anne Convery – Language Learning Journal, 2024
The aim of the research project was to consider whether theoretical underpinnings of the concept of differentiation would help a group of modern languages student teachers develop their understanding and practice of differentiation in the classroom. This was a small-scale inquiry with qualitative data collected from three sources: student…
Descriptors: Foreign Countries, Modern Languages, Second Language Learning, Individualized Instruction
Brandon L. Wright – Thomas B. Fordham Institute, 2024
America's reckoning with racial injustice and the pursuit of equity have led some public school systems to reduce or terminate (or at least question) special programs for high achievers, such as "gifted" education, honors courses, and selective high schools. Historically, such programs have served disproportionately few Black, Hispanic,…
Descriptors: High Achievement, Minority Group Students, Individualized Instruction, Educational Strategies
Eyüp Yurt – International Society for Technology, Education, and Science, 2024
This study examines the use of artificial intelligence-based assessment systems in education and their impact on student achievement. AI technologies make the learning experience more compelling by monitoring and evaluating student performance through data analysis and machine learning, thereby individualizing the assessment process. This study…
Descriptors: Artificial Intelligence, Student Evaluation, Academic Achievement, Computer Uses in Education