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Showing 1 to 15 of 47 results Save | Export
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Stephen M. Kosslyn; Elizabeth P. Callaghan; David P. Green – Learning: Research and Practice, 2025
This article addresses the transformative potential of generative Artificial Intelligence (AI) to optimize human potential by making education more efficient and effective. We describe a new teaching method called "Dynamic Personalized Learning." In this method, AI dynamically provides feedback and adjusts the level and pace of…
Descriptors: Artificial Intelligence, Feedback (Response), Individualized Instruction, Learning Objectives
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Andrew Shenton – Journal of Information Literacy, 2024
This paper uses six books to investigate the early history of information literacy (IL) teaching to school-aged young people in the UK. The work was inspired by Neil MacGregor's Radio Four programme, "A History of the World in 100 Objects," which explored humankind's development via a series of artefacts. In my project, the items were…
Descriptors: Information Literacy, Educational History, Foreign Countries, Information Science
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Conrad Borchers; Kenneth R. Koedinger; Vincent Aleven – Grantee Submission, 2025
Setting practice goals, which helps students regulate their effort toward achieving engagement and mastery, can enhance the benefits of active learning. However, traditional goal-setting approaches, such as homework contingency contracts, often lack frequent feedback and require substantial human intervention. The presented research investigates…
Descriptors: Goal Orientation, Active Learning, Rewards, Academic Achievement
Howard Blumenthal; Robert C. Pianta – Harvard Education Press, 2025
Twenty-first century youth are hungry for new ways to learn. Their world is global, mobile, and rich with opportunities previous generations couldn't possibly have imagined. As they make clear in this book, the old standards of schooling no longer apply. In "Kids on Earth," Howard Blumenthal and Robert C. Pianta go straight to the…
Descriptors: Learning Processes, Global Approach, Educational Change, Public Education
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Rafael Alé-Ruiz; Fernando Martínez-Abad; María Teresa del Moral-Marcos – Education and Information Technologies, 2024
The flexible, changing, and uncertain nature of present-day society requires its citizens have new personal, professional, and social competences which exceed the traditional knowledge-based, academic skills imparted in higher education. This study aims to identify those factors associated with active methodologies that predict university…
Descriptors: Learner Engagement, Individualized Instruction, Active Learning, Higher Education
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Peidi Gu; Zui Cheng; Cheng Miaoting; John Poggio; Yan Dong – Journal of Computer Assisted Learning, 2025
Background: Today, the importance of STEM (Science, Technology, Engineering and Mathematics) education and training is widely recognised and accepted. Computer programming courses have become essential in higher education to nurture students' programming, analysis and computational skills, which are vital for success in all STEM fields and areas.…
Descriptors: Active Learning, Student Projects, Individualized Instruction, Student Motivation
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Ilana Ram; Sara Harris; Ido Roll – International Journal of Artificial Intelligence in Education, 2024
Personalization in education describes instruction that is tailored to learners' interests, attributes, or background and can be applied in various ways, one of which is through choice. In choice-based personalization, learners choose topics or resources that fit them the most. Personalization may be especially important (and under-used) with…
Descriptors: MOOCs, Individualized Instruction, Student Interests, Active Learning
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Stephanie Seiler – Canadian Journal for the Scholarship of Teaching and Learning, 2024
Calls to increase active learning, an approach that positions students in the center of their learning experience, have increased considerably in recent decades. In response, there has been substantial work to expand our understanding and implementation of active learning approaches in many educational spaces. However, much of this instructional…
Descriptors: Higher Education, Active Learning, Curriculum Design, Curriculum Based Assessment
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Catalano, Jennifer; Weirick, Whitney; Hasko, Janna; Antia, Shirin – Journal of Deaf Studies and Deaf Education, 2022
The study examined the effects of a coaching intervention on teachers' ability to implement academically responsive instruction through flexible instructional arrangements in self-contained classrooms for students who are deaf and hard of hearing, as well as the impact of instructional arrangements on students' academic engagement. Using a…
Descriptors: Coaching (Performance), Deafness, Hearing Impairments, Active Learning
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Jodion Siburian; Lely Mardiyanti; Ali Sadikin; Bibiana Kresensia Br. Tarigan; Dian Arisandy Eka Putra Sembiring – Educational Process: International Journal, 2025
Background/purpose. Innovative thinking and meta-skills are needed to solve difficult problems in the 21st century, but standard training techniques often fail. The fact that only 6% of pupils are innovative thinkers highlights a major educational gap. The GENICS learning approach (Grouping, Exploring, Discussion, Individual Activity, Combining,…
Descriptors: Teaching Models, Creative Thinking, Problem Based Learning, Instructional Effectiveness
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Lisa DaVia Rubenstein; Andy Waldron; Gerardo Ramirez – Gifted Child Today, 2025
This action research study evaluated an original lesson using the AI language model ChatGPT to generate tailored play scripts for individual students based on their interests, reading levels, and creative visions. Implemented with 13 third and fourth graders in an after-school program, the "Journeying between Worlds and Words" lesson…
Descriptors: Artificial Intelligence, Technology Uses in Education, Theater Arts, Scripts
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Joseph J. Slade; Stephanie M. Byers; Kathryn A. Becker-Blease; Regan A. R. Gurung – Teaching of Psychology, 2025
Introduction: The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem: These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
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Yao, Ching-Bang; Wu, Yu-Ling – International Journal of Information and Communication Technology Education, 2022
With the impacts of COVID-19 epidemic, e-learning has become a popular research issue. Therefore, how to upgrade the interactivity of e-learning, and allow learners to quickly access personalized and popular learning information from huge digital materials, is very important. However, chatbots are mostly used in automation, as well as simple…
Descriptors: Electronic Learning, Artificial Intelligence, Individualized Instruction, Bayesian Statistics
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Jahnke, Isa – International Journal of Information and Learning Technology, 2023
Purpose: Fischer "et al." (2022) present a framework for rethinking education, including broad design components such as learning-on-demand or learning takes place in the context of authentic problems. How can we bring those design components into practice? I argue that the design of innovative learning approaches for the digital age…
Descriptors: Electronic Learning, Learning Experience, Instructional Design, Evaluation Methods
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Janine Arantes – Policy Futures in Education, 2024
There has been a policy push in K-12 educational settings towards personalized learning in the last decade. Commercial platforms and learning designers have responded, offering learning tools to support teaching and learning through data-driven insights and recommendations. Trending towards the augmentation or replacing human teachers with…
Descriptors: Educational Policy, Individualized Instruction, Elementary Secondary Education, Electronic Learning
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