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Glenn Hardaker; Liyana Eliza Glenn – International Journal of Information and Learning Technology, 2025
Purpose: The purpose of this systematic literature review is to identify the antecedents that have enabled the adoption of artificial intelligence (AI) in Higher Education (HE) institutions at both a macro and micro level. The term adoption is in reference to the diffusion of technology that is actively chosen for use by the targeted demographic.…
Descriptors: Artificial Intelligence, Individualized Instruction, Technology Uses in Education, Higher Education
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Alexis Lebis; Jérémie Humeau; Anthony Fleury; Flavien Lucas; Mathieu Vermeulen – International Journal of Artificial Intelligence in Education, 2024
The personalization of curriculum plays a pivotal role in supporting students in achieving their unique learning goals. In recent years, researchers have dedicated efforts to address the challenge of personalizing curriculum through diverse techniques and approaches. However, it is crucial to acknowledge the phenomenon of student forgetting, as…
Descriptors: Individualized Instruction, Curriculum Development, Curriculum Implementation, Memory
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Bayounes, Walid; Saâdi, Ines Bayoudh; Kinsuk – Smart Learning Environments, 2022
The goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner's motivation. One of the major challenges to the mainstream adoption of adaptive learning is the complexity and time involved in guiding the learning process. To tackle these problems, this…
Descriptors: Learning Processes, Learning Motivation, Individualized Instruction, Models
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Guoqian Luo; Hengnian Gu; Xiaoxiao Dong; Dongdai Zhou – Education and Information Technologies, 2025
In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…
Descriptors: Electronic Learning, Individualized Instruction, Sequential Learning, Learning Processes
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Hugo-Henrik Hachem; Fredrik Heintz – International Journal of Lifelong Education, 2024
AI's opportunities and potential high-risk consequences for individuals and societies render mass AI literacy imperative. MOOCs are one effective conduit for its provision. However, MOOCs remain epistemologically one-sided when lifelong learning steadily shifts towards a reflexive epistemology whereby subjectivities and expert knowledge intersect,…
Descriptors: Artificial Intelligence, MOOCs, Technological Literacy, Reflection
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O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
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Sigit Wibowo; Muhammad Nur Wangid; Fery Muhamad Firdaus – Journal of Education and Learning (EduLearn), 2025
The purpose of this study is to analyze in depth the relevance of Vygotsky's constructivism learning theory in differentiated learning in elementary schools. Differentiated learning is an effort to adapt the learning process in the classroom to meet the learning needs of each individual. This adjustment is made by considering the interests,…
Descriptors: Constructivism (Learning), Learning Theories, Individual Characteristics, Elementary School Students
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Zehra Tugba Guzel – Turkish Online Journal of Distance Education, 2024
The advent of digital technology has enabled the development of alternative learning methods that enable personalized education to meet the demands of the modern era. Regardless of geographical location and time, online education facilitates the provision of personalized learning opportunities through asynchronous or synchronous recording. Thanks…
Descriptors: Individualized Instruction, Electronic Learning, Informal Education, Evaluation
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Puying Wang – European Journal of Education, 2025
Information technology contributes to the transformation of the learning process because it changes the traditional system of teaching, based on outdated methodologies. The paper examined the current technologies used in music education in the context of learning process improvements in China. A sociological survey was conducted using the Stapel…
Descriptors: Music Education, Technology Uses in Education, Artificial Intelligence, Individualized Instruction
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Mao, Shun; Zhan, Jieyu; Wang, Yizhao; Jiang, Yuncheng – IEEE Transactions on Learning Technologies, 2023
For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…
Descriptors: Intelligent Tutoring Systems, Learning Processes, Prediction, Prior Learning
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Sebastian Hobert; Florian Berens – Educational Technology Research and Development, 2024
Individualized learning support is an essential part of formal educational learning processes. However, in typical large-scale educational settings, resource constraints result in limited interaction among students, teaching assistants, and lecturers. Due to this, learning success in those settings may suffer. Inspired by current technological…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Learning Processes, Teaching Methods
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Yousef, Ahmed Mohamed Fahmy; Khatiry, Ahmed Ramadan – Interactive Learning Environments, 2023
Several governments across the world have temporarily closed educational institutions due to the COVID-19 pandemic. In response, numerous universities have seen a growing trend towards online learning scenarios. Thus, learning takes place not just within a person, but within and across the networks. However, the current implementations of open…
Descriptors: Learning Analytics, Individualized Instruction, Reflection, Learning Processes
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Rahmatullah; Inanna; Syamsu Rijal; Sahade; Ashwani Kumar Aggarwal – Journal of Education and e-Learning Research, 2024
The purpose of this study is to investigate the variables that affect students' academic well-being. This study found that individualized teaching, family support for learning and teacher dedication are some of the variables that have an impact on children's well-being. The study used a quantitative methodology with 57 students as the sample size.…
Descriptors: High School Students, Well Being, Individualized Instruction, Parent Participation
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Stollman, Saskia; Meirink, Jacobiene; Westenberg, Michiel; Van Driel, Jan – Professional Development in Education, 2022
To better align teacher learning with teachers' learning needs, teachers' sense-making of an innovation during which teachers experimented with differentiated instruction was studied during two school years. Using answers to a questionnaire, 15 teachers' sense-making processes were characterised by three types of search for meaning: assimilation,…
Descriptors: Faculty Development, Individualized Instruction, Secondary School Teachers, Teacher Attitudes
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Sushan Acharya; Anna Robinson-Pant – Compare: A Journal of Comparative and International Education, 2025
For many centuries, intergenerational literacy learning outside formal educational institutions has been an important part of everyday family life in Nepal. Yet, educational policy continues to focus on promoting 'schooled' approaches to literacy for both adults and children, overlooking informal learning and indigenous literacy practices in many…
Descriptors: Family Literacy, Religious Factors, Learning Processes, Foreign Countries
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