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McBride, Krista K. – Physics Teacher, 2023
It can be difficult to find ways to motivate students while teaching a physics course for non-physics students. Students come to class with many different attitudes and preconceptions, some of which are detrimental to their learning. As physics educators, we strive for student engagement and motivation in course material no matter what type of…
Descriptors: Physics, Nonmajors, Relevance (Education), Student Motivation
Seitz, Stacey L. – ProQuest LLC, 2023
MCL unclearly defined for the teachers asked to implement it in the classroom. This study sought to determine how teacher's implement MCL through the data collection of a mind map, which instructional components teachers used, the ideas that MCL has advanced and the idea that MCL made sense of. This qualitative case study analyzed six teacher's…
Descriptors: Individualized Instruction, Cognitive Mapping, Teacher Attitudes, Instructional Design
Ho, Eric Ming-Yin – ProQuest LLC, 2023
Personalized learning, which has the potential to raise student achievement, requires understanding the competencies of students. Visualizations can help provide this understanding. Jeon et al. (2021) presented a latent space model that creates interaction maps visualizing response patterns from item response data. My dissertation proposes…
Descriptors: Visual Aids, Individualized Instruction, Responses, Models
Ana Paula Juliana Perin; Deivid Eive dos S. Silva; Natasha M. C. Valentim – Informatics in Education, 2023
In Education 4.0, a personalized learning process is expected, and that students are the protagonist. In this new education format, it is necessary to prepare students with the skills and competencies of the 21st-Century, such as teamwork, creativity, and autonomy. One of the ways to develop skills and competencies in students can be through block…
Descriptors: Programming, High School Students, Learning, Learning Processes
Raf Vanderstraeten – Nordic Journal of Studies in Educational Policy, 2023
The genesis of the education system is linked with the rapid expansion of school education in the eighteenth and nineteenth century. The genesis of the education system therefore brought about a primary form of differentiation in the education system, viz. the differentiation between family and school. Family education and school education can be…
Descriptors: Public Schools, Home Schooling, Individualized Instruction, Education
Lin Zhong – Interactive Learning Environments, 2023
While most educators regard personalized learning as beneficial for higher education and continuous research has demonstrated the effectiveness of personalized learning, a comprehensive understanding of how personalized learning has been designed and implemented in higher education is scarce. The purpose of this review study is to examine the…
Descriptors: Individualized Instruction, Higher Education, Instructional Design, Instructional Materials
Zachary Weingarten; Amy Peterson; Kyle Allen – National Center on Intensive Intervention, 2023
Readiness for change is an important factor in successful implementation and scale-up of a new practice or program in schools. The process of assessing and developing readiness for change is a key feature of the Exploration Stage, which is the first of four implementation stages identified by the Active Implementation Research Network. Data-based…
Descriptors: Data Use, Intervention, Individualized Instruction, Student Needs
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
Chenghao Wang; Bin Zou – TESOL Journal, 2025
Avatars play a significant role in Artificial Intelligence (AI)-powered education, supported by various human-computer interactions and second language acquisition theories. AI avatars have become increasingly anthropomorphic and realistic with advancements in speech synthesis, speech-driven lip-syncing, and speech-to-facial animation. D-ID Studio…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Uses in Education, Second Language Instruction
Klarisa I. Vorobyeva; Svetlana Belous; Natalia V. Savchenko; Lyudmila M. Smirnova; Svetlana A. Nikitina; Sergei P. Zhdanov – Contemporary Educational Technology, 2025
In this analysis, we review artificial intelligence (AI)-supported personalized learning (PL) systems, with an emphasis on pedagogical approaches and implementation challenges. We searched the Web of Science and Scopus databases. After the preliminary review, we examined 30 publications in detail. ChatGPT and machine learning technologies are…
Descriptors: Individualized Instruction, Artificial Intelligence, Intelligent Tutoring Systems, Ethics
Angelos Bakogiannis – Journal of Learning Development in Higher Education, 2025
In a higher education (HE) landscape that is becoming increasingly internationalised and diversified, the importance of inclusive teaching practices, particularly in the context of English for Academic Purposes (EAP), is gaining growing international attention. While comprehensive frameworks and strategies are developed through educational…
Descriptors: English for Academic Purposes, Higher Education, Inclusion, Educational Policy
Roneet Merkin – PRIMUS, 2024
This paper reports on a novel corequisite design and implementation for College Algebra at Florida International University. The corequisite course uses online, just-in-time, prerequisite assignments delivered on an open-educational platform. Students get help from near-peer learning assistants inside a math emporium environment. The course…
Descriptors: Required Courses, College Mathematics, Algebra, Mathematics Instruction
Carissa Swiss; Bhairavi Chandramouli – Montessori Life: A Publication of the American Montessori Society, 2024
Educators, experienced or novice, Montessori or otherwise, have genuine concerns about working with neurodivergent children, including having the necessary education, adequate resources, and time to accommodate students. Yet a shift in perspective can minimize these concerns: Montessori educators, who are trained to observe, reflect, design the…
Descriptors: Montessori Schools, Montessori Method, Neurological Impairments, Individualized Instruction
Leonora Kaldaras; Kevin Haudek; Joseph Krajcik – International Journal of STEM Education, 2024
We discuss transforming STEM education using three aspects: learning progressions (LPs), constructed response performance assessments, and artificial intelligence (AI). Using LPs to inform instruction, curriculum, and assessment design helps foster students' ability to apply content and practices to explain phenomena, which reflects deeper science…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, STEM Education, Learning Trajectories
Ying-Lien Lin; Wei-Tsong Wang; Min-Ju Hsieh – Education and Information Technologies, 2024
Self-regulated learning (SRL) strategies have been identified as a valuable component of digital game-based learning system (GBLS) activities. However, few studies have focused on the effects of information feedback on self-efficacy, SRL strategies, and perceived and actual learning effectiveness. Social cognitive and SRL theories describe the…
Descriptors: Self Efficacy, Self Management, Learning Strategies, Game Based Learning