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Showing 1 to 15 of 47 results Save | Export
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Ya Xiao; Khe Foon Hew – Interactive Learning Environments, 2024
In recent years, many studies have highlighted the need to go beyond the "one-size-fits-all" gamification approach to tailored or personalised gamification to optimise students' engagement based on their user attributes. However, little is known about its effectiveness on student engagement. To advance the understanding of personalized…
Descriptors: Individualized Instruction, Gamification, Student Participation, Learner Engagement
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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
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Bernacki, Matthew L.; Greene, Meghan J.; Lobczowski, Nikki G. – Educational Psychology Review, 2021
Teachers, schools, districts, states, and technology developers endeavor to personalize learning experiences for students, but definitions of personalized learning (PL) vary and designs often span multiple components. Variability in definition and implementation complicate the study of PL and the ways that designs can leverage student…
Descriptors: Literature Reviews, Individualized Instruction, Outcomes of Education, Educational Research
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Rodgers, Wendy J.; Weiss, Margaret P.; Ismail, Hazim Aal – Learning Disabilities Research & Practice, 2021
Specially designed instruction (SDI) is at the heart of special education. The broad legal definition of SDI allows special educators to customize it for students, but could lead to role ambiguity, particularly in inclusive classes where most students with learning disabilities receive services. To examine interpretations of SDI, we conducted a…
Descriptors: Instructional Design, Special Education, Educational Research, Role Perception
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Xu, Xiaoshu; Zhu, Xiaoshen; Chan, Fai Man – Interactive Learning Environments, 2023
Personal Learning Environment (PLE) represents a shift of learning paradigm towards learner-centered pedagogy, where users become masters of their own learning. PLEs are best used by learners with Self-Regulated Learning (SRL) abilities. Previous research showed that learners felt lost or socially isolated in PLEs due to their limited SRL…
Descriptors: Educational Environment, Individualized Instruction, Pilot Projects, College Students
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Sürüç Sen, Nur – Journal of Learning and Teaching in Digital Age, 2021
The present article provides a review of 48 studies related to mobile assisted language learning, published mostly in the last decade with the aim of demonstrating a mind map of how mobile devices have been put into learning experience among learners with diverse backgrounds and learning settings such as formal, informal, blended, etc. In this…
Descriptors: Computer Assisted Instruction, Second Language Learning, Handheld Devices, Technology Integration
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Zhang, Ling; Carter, Richard Allen, Jr.; Basham, James D.; Yang, Sohyun – Journal of Computer Assisted Learning, 2022
Background: Personalized learning (PL), conceptualized as an education innovation that tailors learning to meet diverse student needs, has drawn increased attention from different fields of study, such as education, learning sciences, and computer science. Regardless, there is a lack of a comprehensive understanding of PL instructional designs…
Descriptors: Instructional Design, Access to Education, Inclusion, Individualized Instruction
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Morakinyo Akintolu; Akinpelu A. Oyekunle – Journal of Educators Online, 2025
This paper provides a comprehensive overview of the research on the application of artificial intelligence (AI) in primary education to explore its potential to enhance teaching and learning processes. Through a systematic review of the relevant literature, this study identifies key areas in which AI can significantly impact primary education and…
Descriptors: Data Analysis, Learning Analytics, Artificial Intelligence, Computer Software
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Galip Kartal; Hatice Okyar – Education and Information Technologies, 2025
The present study carried out a bibliometric analysis of L2 eye-tracking research. VOSviewer, CiteSpace, and CitNetExplorer were used for the analysis. The data were 245 articles indexed by Social Sciences Citation Index (SSCI). The study identified the research topics, trends, promising research directions, influential authors and documents, and…
Descriptors: Bibliometrics, Eye Movements, Second Language Learning, Language Research
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Kuhail, Mohammad Amin; Alturki, Nazik; Alramlawi, Salwa; Alhejori, Kholood – Education and Information Technologies, 2023
Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners' behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents…
Descriptors: Educational Technology, Computer Mediated Communication, Artificial Intelligence, Technology Uses in Education
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Papakostas, Christos; Troussas, Christos; Krouska, Akrivi; Sgouropoulou, Cleo – Informatics in Education, 2021
This review paper presents a systematic literature review on the use of Augmented Reality (AR) in engineering education, and specifically in student's spatial ability training, for the last decade. Researchers have explored the benefits of AR, and its application has been of increasing interest in all levels of education. Engineering students tend…
Descriptors: Computer Simulation, Spatial Ability, Visualization, Educational Technology
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Mousavinasab, Elham; Zarifsanaiey, Nahid; R. Niakan Kalhori, Sharareh; Rakhshan, Mahnaz; Keikha, Leila; Ghazi Saeedi, Marjan – Interactive Learning Environments, 2021
With the rapid growth of technology, computer learning has become increasingly integrated with artificial intelligence techniques in order to develop more personalized educational systems. These systems are known as Intelligent Tutoring systems (ITSs). This paper focused on the variant characteristics of ITSs developed across different educational…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Individualized Instruction, Web Based Instruction
Carla C. Johnson; Janet B. Walton; Lacey Strickler; Jennifer Brammer Elliott – Review of Educational Research, 2023
The transition to fully or partially online instruction for K-12 students necessitated by the 2020 COVID-19 pandemic highlighted the current lack of understanding of practices that support K-12 student learning in online settings in emergency situations but also, more troublingly, in K-12 online teaching and learning more generally. A systematic…
Descriptors: Online Courses, Teaching Methods, Kindergarten, Elementary Secondary Education
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Blumenstein, Marion – Journal of Learning Analytics, 2020
The field of learning analytics (LA) has seen a gradual shift from purely data-driven approaches to more holistic views of improving student learning outcomes through data-informed learning design (LD). Despite the growing potential of LA in higher education (HE), the benefits are not yet convincing to the practitioner, in particular aspects of…
Descriptors: Learning Analytics, Instructional Design, Effect Size, Higher Education
Center on Innovations in Learning, Temple University, 2018
This Solution-Finding Report provides information, requested by Kerri White, Arkansas/Louisiana Technical Assistance Coordinator for the South Central Comprehensive Center, on behalf of Kevin Beaumont, Director of Professional Learning at the Arkansas Department of Education's Division of Educator Effectiveness. Beaumont's request was seeking…
Descriptors: Credentials, Competency Based Education, Skill Development, Instructional Design
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