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Ben Rebah, Hassen; Barthes, Didier; Carnus, Marie-France – Learning Environments Research, 2023
The growing ubiquity of web 2.0 has created a new paradigm shift from traditional education methods and strategies to student-centered Personal Learning Environment (PLE) methods and networks. The PLE is an emerging learning concept that relies on the student's personal needs and preferences to create an individualized and flexible learning…
Descriptors: College Students, Student Needs, Educational Technology, Individualized Instruction
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Shum, Lok Cheung; Rosunally, Yasmine; Scarle, Simon; Munir, Kamran – Education and Information Technologies, 2023
When the traditional "one size fits all" approach is used in designing educational games, the game context is usually arranged in a fixed sequence. However, the designated content may not effectively support the diversity of players. The player's ability and characteristics should be considered and supported with an appropriate learning…
Descriptors: Individualized Instruction, Educational Games, Student Centered Learning, Instructional Design
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Özdemir, Nedim; Kilinç, Ali Çagatay; Turan, Selçuk – Asia Pacific Journal of Education, 2023
This study tested a moderated mediation model of instructional leadership's effects on differentiated instruction, with teacher enthusiasm as the mediator and power distance perceptions of teachers as the moderator. Using survey data from a sample of 772 teachers working at 55 secondary schools, the study performed multilevel structural equation…
Descriptors: Foreign Countries, Instructional Leadership, Individualized Instruction, Secondary School Teachers
Richey, J. Elizabeth; McEldoon, Katherine; Tan, Elaine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Theory Practice Relationship, Research and Development, Individualized Instruction, Intelligent Tutoring Systems
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Gibbs, Kathy – Teaching Education, 2023
This study is the second in a planned series of qualitative inquiries to investigate how some Australian educators use differentiated instruction (DI) in a secondary school setting. A small-scale study was conducted using individual, semi-structured interviews with seven teachers and two school leaders via Teams, a video conferencing platform.…
Descriptors: Individualized Instruction, Foreign Countries, Secondary School Teachers, Principals
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Fajariyah, Laily Amin; Retnawati, Heri; Madya, Suwarsih – LEARN Journal: Language Education and Acquisition Research Network, 2023
Differentiated classrooms accommodate students' diverse needs, however, tailoring learning to meet students' individual needs is challenging for teachers. This study explores students' diversity in an English as a foreign language (EFL) classroom setting, especially students' needs in differentiated English language tasks and assessments through a…
Descriptors: Diversity, Individualized Instruction, English (Second Language), Second Language Learning
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Kucirkova, Natalia; Gray, Sandra Leaton – Educational Theory, 2023
This essay explains how, from the theoretical perspective of Basil Bernstein's three "conditions for democracy," the current pedagogy of artificially intelligent personalized learning seems inadequate. Building on Bernstein's comprehensive work and more recent research concerned with personalized education, Natalia Kucirkova and Sandra…
Descriptors: Democratic Values, Citizenship, Artificial Intelligence, Individualized Instruction
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Meda, Lawrence; Efthymiou, Efthymia; AlHammadi, Muna; Williams, Cara; Fteiha, Mohamed – Open Education Studies, 2023
The current study explored how students in various universities across the United Arab Emirates (UAE) conceptualized inclusive education and views of the future with participation from twenty-one pre-service teachers from different universities within the UAE. Data collection consisted of an open-ended questionnaire and semi-structured interviews…
Descriptors: Foreign Countries, Inclusion, Educational Trends, Futures (of Society)
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Bingxue Zhang; Yang Shi; Yuxing Li; Chengliang Chai; Longfeng Hou – Interactive Learning Environments, 2023
The adaptive learning environment provides learning support that suits individual characteristics of students, and the student model of the adaptive learning environment is the key element to promote individualized learning. This paper provides a systematic overview of the existing student models, consequently showing that the Elo rating system…
Descriptors: Electronic Learning, Models, Students, Individualized Instruction
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Takami, Kyosuke; Flanagan, Brendan; Dai, Yiling; Ogata, Hiroaki – Smart Learning Environments, 2023
In the age of artificial intelligence (AI), trust in AI systems is becoming more important. Explainable recommenders, which explain why an item is recommended, have recently been proposed in the field of learning technology to improve transparency, persuasiveness, and trustworthiness. However, the methods for generating explanations are limited…
Descriptors: Artificial Intelligence, Personality, Cognitive Processes, Public Health
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Rahmeh Abbaas B. Alhameedyeen – International Journal of Education in Mathematics, Science and Technology, 2024
Differentiated instruction is a teaching philosophy in which faculty members recognize that no two students are identical and that each student can succeed with appropriate guidance. This study assesses the degree of implementing differentiated instruction by the faculty members of the College of Educational Sciences, The World Islamic Science and…
Descriptors: Individualized Instruction, Teacher Attitudes, College Faculty, Academic Rank (Professional)
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Julie Kallio – Journal of Educational Administration, 2024
Purpose: A core challenge for leaders for deeper learning is scaling promising practices to provide students with systematic access to deeper learning experiences. This case illuminates how a group of researchers organized professional learning activities around conferring, a promising deeper learning practice. Design/methodology/approach: The…
Descriptors: 21st Century Skills, Instructional Leadership, Individualized Instruction, Experienced Teachers
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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
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Ashley Sanabria; Jin Kyoung Hwang; Elham Zargar; Deborah Lowe Vandell; Carol M. Connor – Grantee Submission, 2024
Purpose: Having a clear understanding of the types and amounts of classroom literacy learning opportunities is important for contextualizing children's early literacy performance. In this study, we examine the content, context, and management of literacy learning opportunities in a large, geographically diverse sample in the United States. We also…
Descriptors: Preschool Education, Primary Education, Emergent Literacy, Oral Language
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Leslie Michelle Bahena Olivares; Ramin Rostampour; Allyson F. Hadwin – Metacognition and Learning, 2024
Task understanding is theorized as a critical aspect of effective learning, but its role in self-regulated learning and overall academic performance has been understudied. Research to date indicates that students with adequate task understanding perform well. However, these studies have not demonstrated what practices are needed for developing…
Descriptors: Task Analysis, Individualized Instruction, Performance, Difficulty Level
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