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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
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
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
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
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
Barriers and Facilitators for Addressing Sex Education for Autistic Individuals: A Systematic Review
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
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
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
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
Robert J. Marzano; Bill Zima; Julia A. Simms; Seth D. Abbott, Contributor; Bridget Cahill, Contributor; Jeni Gotto, Contributor; Oliver Grenham, Contributor; Patrick B. Hardy, Contributor; Jan K. Hoegh, Contributor; Brian J. Kosena, Contributor; Michael Lynch, Contributor; Mike Ruyle, Contributor – Solution Tree, 2025
This book argues that competency-based practices are the key to creating school systems that meet students' academic needs and prepare students to effectively communicate, collaborate, and self-regulate. With comprehensive coverage of competency-based practices and recommended steps to explore new approaches to instruction and assessment, Marzano…
Descriptors: Mastery Learning, Decision Making, Competency Based Education, Program Implementation
Laura Northrop; Elena Andrei – TESOL Journal, 2025
This study investigates the types of instruction multilingual learners (MLs) experience in the general education classroom in upper-elementary school. Using the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011 (ECLS-K) we examine the types of instructional practices MLs experienced in reading, math, and science in fourth and…
Descriptors: Multilingualism, Bilingual Students, Elementary School Students, Grade 4
Kucirkova, Natalia; Gerard, Libby; Linn, Marcia C. – British Journal of Educational Technology, 2021
Advances in technology have increased the opportunities for designers to personalise instruction based on student actions. We conducted semi-structured interviews with an international sample of educational professionals including researchers, teachers and designers, and reviewed interdisciplinary literature on personalisation to propose a…
Descriptors: Individualized Instruction, Instructional Design, Educational Research, Problems
Sara E. N. Kangas; María Cioè-Peña – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
In the United States, individualized language plans (ILPs) have gained traction across K-12 schools. Much like the Individualized Education Programs (IEPs) used in special education, ILPs outline individualized goals, accommodations, and services for multilingual learners for their language development; however, unlike IEPs, ILPs are developed at…
Descriptors: Individualized Instruction, Elementary Secondary Education, Multilingualism, Student Characteristics
George Koutsouris; Nicholas Bremner; Lauren Stentiford – British Educational Research Journal, 2024
This article builds on the findings of a critical systematic review that aimed to explore understandings and applications of inclusive pedagogies in the secondary school. Inclusive pedagogies are often conceptualised as both a set of strategies that aim to ensure access to learning for all students, and as value principles that reflect particular…
Descriptors: Inclusion, Secondary Schools, Individualized Instruction, Student Centered Learning
Susan S. Fields; Christina L. Dobbs – Journal of Adolescent & Adult Literacy, 2024
This discussion article presents practices for designing more supportive and individualized writing tasks for adolescent and young adult students. The practices emerged from a synthesis of findings from a prior study in which we asked 79 undergraduates to talk about moments from their writing histories that made them feel proud of their writing.
Descriptors: Writing Instruction, Learning Activities, Adolescents, Young Adults

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