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Genevieve Thraves – Australasian Journal of Gifted Education, 2024
Gifted education has been recognised as a fractured field that can be categorised using varying paradigmatic approaches. Over the past thirty years, Gagne's Differentiated Model of Giftedness and Talents (DMGT) has maintained a strong influence in Australia, which means that the paradigmatic assumptions that are present in this model have shaped…
Descriptors: Foreign Countries, Gifted Education, Educational Policy, Web Sites
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Xie jingyi; Cavin Pamintuan – SAGE Open, 2024
This study investigates methods and effectiveness of implementing Differentiated Instruction (DI) in intelligent education based on learners' learning needs. The paper employs a mixed-method approach to collect and analyze data from various learner groups. Guided by the assessment results of the KANO model, the research prioritizes attributes for…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Student Needs
Dixson, Dante D.; Peters, Scott J.; Makel, Matthew C.; Jolly, Jennifer L.; Matthews, Michael S.; Miller, Erin M.; Rambo-Hernandez, Karen E.; Rinn, Anne N.; Robins, Jennifer H.; Wilson, Hope E. – Phi Delta Kappan, 2021
Schools exist to educate, yet the emphasis on age-based, grade-level standards fails to account for the wide range of academic readiness that exists in every classroom. Special education programs exist to meet student needs; gifted education should be no different. The authors, all gifted education researchers, present a vision for a model of…
Descriptors: Academically Gifted, Gifted Education, Student Needs, Response to Intervention
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Li, Fengying; He, Yifeng; Xue, Qingshui – Educational Technology & Society, 2021
With the deep application of artificial intelligence and big data in education, adaptive learning has become a new research hotspot in online education. Based on the systematic review of the connotation and research progress of adaptive learning, a new definition of adaptive learning is given. By literature analysis, this paper points out the…
Descriptors: Educational Technology, Artificial Intelligence, Student Needs, Individualized Instruction
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Jang, Bong Gee; Henretty, Dawnelle; Waymouth, Heather – Journal of Adolescent & Adult Literacy, 2018
To create an atmosphere that encourages student involvement and develops lifelong learners, educators are finding that differentiated instruction provides a viable framework. Typically, students who populate modern classrooms have diverse interests, varied cultural and linguistic backgrounds, and an assortment of literacy skill levels. Many are…
Descriptors: Individualized Instruction, Student Diversity, Teaching Methods, Models
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Babette Moeller; Teresa Duncan; Jason Schoeneberger; John Hitchcock; Matthew McLeod – Grantee Submission, 2022
Teacher quality, along with the school context, classroom practice, and student mathematics achievement, are the key components in Clarke and Hollingsworth's (2002) model that depicts teachers' professional growth as an ongoing, dynamic, and interactive enterprise. Comfort and preparedness are dispositions that, along with teacher knowledge, are…
Descriptors: Equal Education, Access to Education, Mathematics Instruction, Faculty Development
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Dazzeo, Robin; Rao, Kavita – TEACHING Exceptional Children, 2020
Although the instructional strategy described in this article can be used to support all learners, the purpose of this article is to address the needs of students with learning disabilities, who are often several grade levels behind in reading comprehension. Specifically, this article explores how an explicitly taught instructional practice that…
Descriptors: Students with Disabilities, Learning Disabilities, Reading Comprehension, Reading Difficulties
Rickabaugh, James – ASCD, 2016
In this powerful new book, James Rickabaugh, former superintendent and current director of the Institute for Personalized Learning (IPL), presents the groundbreaking results of the Institute's half-decade of research, development, and practice: a simple but powerful model for personalizing students' learning experiences by building their levels of…
Descriptors: Guides, Models, Program Implementation, Teaching Methods
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Lemons, Christopher J.; Sinclair, Anne C.; Gesel, Samantha; Gandhi, Allison Gruner; Danielson, Louis – Journal of Special Education Leadership, 2019
Special education administrators at both the district and school level are serving in critical roles that uniquely position them to improve academic and behavioral outcomes of students with disabilities by ensuring the special education teachers under their supervision are prepared to deliver an evidence-based form of intensive…
Descriptors: Special Education, Intervention, Educational Administration, Administrator Role
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Fasihuddin, Heba; Skinner, Geoff; Athauda, Rukshan – Education and Information Technologies, 2017
Open learning represents a new form of online learning where courses are provided freely online for large numbers of learners. MOOCs are examples of this form of learning. The authors see an opportunity for personalising open learning environments by adapting to learners' learning styles and providing adaptive support to meet individual learner…
Descriptors: Online Courses, Open Education, Individualized Instruction, Cognitive Style
Nicholas Alan Lytle – ProQuest LLC, 2020
It is becoming increasingly necessary for every child to have experience with 21st century Computational Thinking (CT) skills including learning to program. Considerable efforts have been made within the last two decades including the development and widespread use of novice-friendly block-based programming environments such as Scratch and Snap!…
Descriptors: Scaffolding (Teaching Technique), Elementary Secondary Education, Instructional Design, 21st Century Skills
Mathews, Anne – ProQuest LLC, 2017
Blended learning is a teaching technique that utilizes face-to-face teaching and online or technology-based practice in which the learner has the ability to exert some level of control over the pace, place, path, or time of learning. Schools that employ this method of teaching often demonstrate larger gains than traditional face-to-face programs…
Descriptors: Blended Learning, Mixed Methods Research, Teacher Surveys, Administrator Surveys
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Kangas, Timothy C.; Cook, Michelle; Rule, Audrey C. – Journal of STEM Arts, Crafts, and Constructions, 2017
Gifted students, because of their advanced development compared to peers, have emotional needs that require differentiated education programs. Asynchronous social and emotional development of gifted students often leads to identity issues. Cinematherapy can be used to help gifted students explore their identities through analysis of the actions of…
Descriptors: Academically Gifted, Student Needs, Individualized Instruction, Identification (Psychology)
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Hooshyar, Danial; Yousefi, M.; Wang, M.; Lim, H. – Journal of Computer Assisted Learning, 2018
Although game-based learning has been increasingly promoted in education, there is a need to adapt game content to individual needs for personalized learning. Procedural content generation (PCG) offers a solution for difficulty in developing game contents automatically by algorithmic means as it can generate individually customizable game contents…
Descriptors: Educational Games, Computer Games, Data, Individualized Instruction
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Westensko, Arla; Moyer-Packenham, Patricia S.; Child, Barbara – Journal of Education, 2017
This study describes 3 years of mathematics intervention research examining the effectiveness of a summer individualized tutoring program for rising fourth-, fifth-, and sixth-grade students with low mathematics achievement. Based on an iceberg model of learning, an instructional framework was developed that identified and targeted students'…
Descriptors: Elementary School Students, Elementary School Mathematics, Program Effectiveness, Summer Programs
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