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Tenório, Kamilla; Dermeval, Diego; Monteiro, Mateus; Peixoto, Aristoteles; Silva, Alan Pedro da – International Journal of Artificial Intelligence in Education, 2022
There is growing interest in applying gamification to adaptive learning systems to motivate and engage students during the learning process. However, previous studies have reported unexpected results about student outcomes in these systems. One of the causes of these unfavorable effects is the lack of monitoring and adaptation of gamification…
Descriptors: Gamification, Design, Individualized Instruction, Educational Objectives
Mclerran, Karen – ProQuest LLC, 2022
The purpose of this qualitative phenomenological study was to examine the perceptions of middle school teachers regarding differentiation of instruction for students with mild to moderate disabilities. Although there has been little documentation in the literature regarding instructional differentiation five factors that facilitate change have…
Descriptors: Teacher Attitudes, Middle School Teachers, Individualized Instruction, Instructional Effectiveness
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Anna V. Bodiako; Svetlana V. Ponomareva; Tatiana M. Rogulenko; Yuriy A. Krupnov; Teimuraz A. Kemkhashvili – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2022
The paper aims to determine the optimal approach to the training of digital personnel among today's youth in Russia and Central Asia, contrasting individualization and standardization. To achieve the goal, the authors implement the economic and mathematical apparatus, particularly the methods of trend and regression analysis. The results justify…
Descriptors: Information Technology, Youth, Individualized Instruction, Foreign Countries
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Roselle C. Aranha – Educational Planning, 2025
An inclusive and equitable learning environment is a prerequisite for student success and well-being at school. Differentiated instruction helps to nurture a classroom environment where students feel they are at the center of the learning process. While teachers play a key role in the effectiveness of instruction in a differentiated classroom,…
Descriptors: Individualized Instruction, Teacher Attitudes, Preschool Teachers, Elementary School Teachers
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Lidra Ety Syahfitri Harahap; Sri Andayani; Deflimai Ekwan – Pedagogical Research, 2025
Math anxiety can significantly impair student learning outcomes. This is often due to a lack of self-regulated learning (SRL), leading to a reliance on external guidance. This systematic literature review aimed to increase existing knowledge on the role of SRL in reducing students' mathematics anxiety and to assess its impact on improving learning…
Descriptors: Individualized Instruction, Mathematics Anxiety, Outcomes of Education, Correlation
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Jewoong Moon; Unggi Lee; Junbo Koh; Yeil Jeong; Yunseo Lee; Gyuri Byun; Jieun Lim – Technology, Knowledge and Learning, 2025
This paper reviews the role of Generative Artificial Intelligence (GenAI) in transforming the landscape of educational game design. The recent rise and development of GenAI have expanded its applications in creating dynamic and interactive game systems. This review explores the potential of GenAI to craft personalized educational game designs that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Games, Instructional Design
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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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Youngjin Lee – Education and Information Technologies, 2025
This study investigates the development and evaluation of a Retrieval-Augmented Generation (RAG)-based statistics tutor designed to assist students with quantitative analysis methods. The RAG approach was employed to address the well-documented issue of hallucination in Large Language Models (LLMs). A computer tutor was developed that utilizes…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Teachers, Students
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Hee Jin Bang; Amanda Siebert-Evenstone – Journal of Educational Technology Systems, 2025
Early literacy development is crucial for academic success, yet the COVID-19 pandemic has widened pre-existing educational gaps, particularly affecting students from low-income households through uneven access to quality remote instruction and learning technology. While educational technology offers promising solutions for personalized learning,…
Descriptors: Reading Skills, Emergent Literacy, Game Based Learning, Preschool Children
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Guoqian Luo; Hengnian Gu; Xiaoxiao Dong; Dongdai Zhou – Education and Information Technologies, 2025
In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…
Descriptors: Electronic Learning, Individualized Instruction, Sequential Learning, Learning Processes
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Michelle Ronksley-Pavia; Steven Ronksley-Pavia; Chris Bigum – Journal of Advanced Academics, 2025
In many general education classrooms across the world, educators struggle to meet the educational needs of twice-exceptional and multi-exceptional neurodivergent learners, with their confluence of exceptional strengths and exceptional challenges. This article reports the process, findings, and implications of research that implemented a series of…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Twice Exceptional, Gifted Education
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Anh M. Ngo; Abigail Donaghue; Kayla H. Weng; Eileen T. Crehan – Journal of Special Education, 2025
Autistic individuals face challenges in expressing their sexuality and understanding social norms, exacerbated by inadequate sex education. To improve the acquisition of sex education programs, this systematic review identified and synthesized the barriers and facilitators to addressing sex education for autistic learners. A comprehensive database…
Descriptors: Sex Education, Autism Spectrum Disorders, Barriers, Educational Resources
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Phetogo Susan Mangole; Abejide Ade-Ibijola – Journal of Learning and Teaching in Digital Age, 2025
Globally, personalised learning platforms (PLPs) are increasing in significance and usage, making them today's most preferred tools to offer tailored learning experiences. Artificial Intelligence (AI) has turned personalised learning into a powerful learning force, thus helping to catalyse the customization and adaptation of learning methods and…
Descriptors: Individualized Instruction, Educational Technology, Artificial Intelligence, Small Businesses
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Maha Salem; Khaled Shaalan – Education and Information Technologies, 2025
The proliferation of digital learning platforms has revolutionized the generation, accessibility, and dissemination of educational resources, fostered collaborative learning environments and producing vast amounts of interaction data. Machine learning (ML) algorithms have emerged as powerful tools for analyzing these complex datasets, uncovering…
Descriptors: Electronic Learning, Prediction, Models, Educational Technology
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Gerda Hagenauer; Franziska Muehlbacher; Christoph Helm; Christoph Weber – British Journal of Educational Psychology, 2025
Background: Team teaching is a common practice in many schools. However, there is a lack of empirical evidence on how teachers' positive and negative affect triggered by their team-teaching partners is related to the (perceived) instructional quality. Aim: Therefore, our goal was to investigate how positive and negative affect correlates with…
Descriptors: Team Teaching, Teacher Attitudes, Educational Quality, Diaries
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