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Showing 1 to 15 of 20 results Save | Export
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Julien Kloeg; Morten Timmermann Korsgaard – Educational Philosophy and Theory, 2025
In this paper, we argue that the attempts to centre education in one of its three constitutive aspects that have long determined the discourse on the purpose and aims of education run the risk of one-sidedness. Theories of student-centred education have been in vogue for many centuries now, having been born out of a polemic against teacher-centred…
Descriptors: Role of Education, Educational Philosophy, Student Centered Learning, Transfer of Training
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Tetzlaff, Leonard; Schmiedek, Florian; Brod, Garvin – Educational Psychology Review, 2021
Personalized education--the systematic adaptation of instruction to individual learners--has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when…
Descriptors: Individualized Instruction, Instructional Effectiveness, Instructional Design, Student Characteristics
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Stevens-Smith, Deborah A. – Journal of Physical Education, Recreation & Dance, 2020
The purpose of this article is to examine the brain-based differentiations between the genders and the impact they may have on teaching and learning. The term gender will be used throughout the article to highlight the characteristics that distinguish males and females. The article will first examine if these differences do exist and how they…
Descriptors: Gender Differences, Brain, Physical Education, Individualized Instruction
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Youqin Pan; Jian Gu – International Journal of Technology in Teaching and Learning, 2023
This paper explores the potential of using Chat Generative PreTrained Transformer (ChatGPT), a powerful language model, as an innovative tool to enhance education in the classroom. Drawing from firsthand experience, this paper demonstrates how ChatGPT can be integrated into the teaching and learning process of statistics and data analytics…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
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de Chiusole, Debora; Stefanutti, Luca; Anselmi, Pasquale; Robusto, Egidio – International Journal of Artificial Intelligence in Education, 2020
An intelligent tutoring system for learning basic statistics, called Stat-Knowlab, is presented and analyzed. The algorithms implemented in the system are based on the competence-based knowledge space theory, a mathematical theory developed for the formative assessment of knowledge and learning. The system's architecture consists of the two…
Descriptors: Statistics, Intelligent Tutoring Systems, Mathematics Instruction, Formative Evaluation
Zoll, Susan; Feinberg, Natasha; Saylor, Laura – Teachers College Press, 2023
Teaching reading successfully requires deep knowledge of the reading process and development, as well as the implementation of impactful reading instruction and differentiation. This book aligns Montessori didactic materials and pedagogy, developed over a century ago, with current research on reading development. Readers will gain a solid overview…
Descriptors: Montessori Method, Teaching Methods, Instructional Materials, Reading Instruction
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Kucirkova, Natalia; Littleton, Karen – Learning, Media and Technology, 2017
Massive open online courses (MOOCs) are online courses aimed at global unlimited participation, originally conceptualised to carry no fee and offer no formal accreditation to the students (McAuley et al. 2010). Although their pedagogies vary, the most popular MOOC providers (e.g., Coursera, FutureLearn and EdX) are turning towards what Rodriguez…
Descriptors: Online Courses, Models, Educational Practices, Educational Methods
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Yang, Fan – Educational Philosophy and Theory, 2019
In an era when individuality has been increasingly emphasized, the development of science and technology has provided technical support for the realization of individuation. However, in an examination-oriented education system, the education model has not attached sufficient importance to individuality. The modern education industry focuses much…
Descriptors: Individual Differences, Religion, Educational Philosophy, Asian Culture
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Dishon, Gideon – Theory and Research in Education, 2017
Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…
Descriptors: Data Collection, Data Analysis, Information Utilization, Individualized Instruction
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Kara, Nuri; Sevim, Nese – Contemporary Educational Technology, 2013
Since 1950s, teaching machines have changed a lot. Today, we have different ideas about how people learn, what instructor should do to help students during their learning process. We have adaptive learning technologies that can create much more student oriented learning environments. The purpose of this article is to present these changes and its…
Descriptors: Educational Technology, Teaching Machines, Computer Assisted Instruction, Instructional Design
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Grassinger, Robert; Porath, Marion; Ziegler, Albert – High Ability Studies, 2010
Mentoring is considered among the most effective pedagogical measures, yet it is rarely used in gifted education. One of the main reasons for this neglect seems to be the lack of a thorough analysis of its conceptual foundations from the point of view of giftedness research. This contribution starts with a discussion of conceptual and definitional…
Descriptors: Feedback (Response), Mentors, Gifted, Learning Processes
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Reigeluth, Charles M.; Aslan, Sinem; Chen, Zengguan; Dutta, Pratima; Huh, Yeol; Lee, Dabae; Lin, Chun-Yi; Lu, Ya-Huei; Min, Mina; Tan, Verily; Watson, Sunnie Lee; Watson, William R. – Journal of Educational Computing Research, 2015
The learner-centered paradigm of instruction differs in such fundamental ways from the teacher-centered paradigm that it requires technology to serve very different functions. In 2006, a research team at Indiana University began to work on identifying those functions and published their results in 2008. Subsequently, the team elaborated and…
Descriptors: Individualized Instruction, Learner Controlled Instruction, Intelligent Tutoring Systems, Interdisciplinary Approach
Newstead, Barry; Wright, Caitrin Moran; Colby, Susan – Bridgespan Group, 2010
Everyone knows that every single child should receive a high-quality education. Not only is it the ticket to opportunity in America and around the world, but also research has shown clearly that there are life-limiting implications for children who are not adequately educated. Where to start? As the authors reflect on their work and research in…
Descriptors: Access to Education, Learning Processes, Generational Differences, Individualized Instruction
Bienkowski, Marie; Feng, Mingyu; Means, Barbara – Office of Educational Technology, US Department of Education, 2012
As more of commerce, entertainment, communication, and learning are occurring over the Web, the amount of data online activities generate is skyrocketing. Commercial entities have led the way in developing techniques for harvesting insights from this mass of data for use in identifying likely consumers of their products, in refining their products…
Descriptors: Teaching Methods, Learning Processes, Data Analysis, Barriers
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Jackson, Janna – Teaching Education, 2009
Most teachers only dream of their students spending the amount of motivation, attention, passion, and critical thinking on their classes that some students do playing videogames. This investigation examines the success, pitfalls, and lessons learned from incorporating videogame-like components into an educational technology class. For example,…
Descriptors: Assignments, Video Games, Protocol Analysis, Focus Groups
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