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Tri Puspa Rinjeni; Nur Aini Rakhmawati; Reny Nadlifatin – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study identifies gamification element preferences based on Myers-Briggs Type Indicator (MBTI) characteristics. It measures the influence of preferences on learning motivation through a pre-experimental design of one group pre-test post-test. Background: Incorporating information technology in education has led to the introduction…
Descriptors: Foreign Countries, Personality Measures, College Students, Information Systems
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Pedro Luis Saraiva Barbosa; Rafael Augusto Ferreira do Carmo; João P. P. Gomes; Windson Viana – Education and Information Technologies, 2024
Adaptive learning is a teaching approach aiming to personalize the learning experience for each student. In Computer Science Education (CSE), Adaptive Learning Systems (ALS) can provide students with customized lessons, exercises, and assessments based on their previous knowledge, strengths, and weaknesses. Some literature reviews focus on…
Descriptors: Teaching Methods, Individualized Instruction, Educational Technology, Technology Uses in Education
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Amanda Bastoni; Luis Pérez; Cassandra Sell – Adult Literacy Education, 2024
Adult education instructors are as diverse as the students they teach. Their professional backgrounds, training, licenses, and modalities of teaching (online, in person, open vs. closed enrollment, etc.) vary widely, which can make the planning of meaningful, effective professional development challenging. Universal Design for Learning (UDL) is a…
Descriptors: Access to Education, Individualized Instruction, Pacing, Faculty Development
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Kusuma Hati; Ayu Afriliani Rahmayanti Kusuma Hati; Cinta Widi Happy Aprilia; Luthfiyah An Nisa; Meisita Anggraeni; Yosafat Hermawan Trinugraha; Bagas Narendra Parahita – Journal of Education and Learning (EduLearn), 2025
Global challenges require the government to organize learning in schools that are more up-to-date following episodes in the times. The independent curriculum learning promises flexibility for teachers and students and replaces the relatively new curriculum-13. In implementing the independent curriculum, differentiated learning is a concept that…
Descriptors: Individualized Instruction, Sociology, High School Teachers, Foreign Countries
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Sigit Wibowo; Muhammad Nur Wangid; Fery Muhamad Firdaus – Journal of Education and Learning (EduLearn), 2025
The purpose of this study is to analyze in depth the relevance of Vygotsky's constructivism learning theory in differentiated learning in elementary schools. Differentiated learning is an effort to adapt the learning process in the classroom to meet the learning needs of each individual. This adjustment is made by considering the interests,…
Descriptors: Constructivism (Learning), Learning Theories, Individual Characteristics, Elementary School Students
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Wenjuan Ma; Wenjing Ma; Yongbin Hu; Xinyu Bi – Education and Information Technologies, 2025
The integration of technology in higher education is constantly evolving, and the recent emergence of generative artificial intelligence (AI), particularly AI-based chatbots, presents both opportunities and challenges. This rapid advancement raises crucial questions about the effective and appropriate implementation of these tools in learning and…
Descriptors: Literature Reviews, Higher Education, Technology Uses in Education, Educational Technology
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Álvaro Pereda Loriente; José Antonio González-Calero; Sergio Tirado-Olivares; Javier del Olmo-Muñoz – Education and Information Technologies, 2025
The use of technology and tools that enable the automation of personalized learning systems has become increasingly relevant and has attracted substantial attention in the field of research. Under this premise, the present study examines the potential of using personalized instructional sequences with activities in the Moodle learning management…
Descriptors: Educational Technology, Technology Uses in Education, Individualized Instruction, Learning Management Systems
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Melly Preston; Pearl Subban; Muhamad Nanang Suprayogi; Annisa Nanda Liyani; Andrea Prita Purnama Ratri – Journal of Education and Learning (EduLearn), 2025
The increasing diversity of students in higher education presents numerous advantages for the sector, yet it also imposes substantial challenges for educators. This study explored the experiences of five academics across two countries as they strive to implement differentiated instruction (DI) to accommodate the diverse needs of students. The…
Descriptors: Individualized Instruction, College Instruction, Higher Education, College Faculty
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Ángela María Méndez-Vargas; Andrés Chiappe; María Soledad Ramirez-Montoya; Diego Fernando Becerra Rodríguez – Cambridge Journal of Education, 2025
This conceptual literature review explores the evolution of personalised pearning (PL) through an analysis of 39 research articles indexed in Scopus and Web of Science to delve into its main conceptualisations, trends and challenges. The review was carried out by applying the guidelines of the PRISMA statement to research articles published in…
Descriptors: Literature Reviews, Meta Analysis, Individualized Instruction, Educational Trends
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Dannie Wammes; Liesbeth Kester; Bert Slof – International Journal of Technology and Design Education, 2025
Hands-on activities promote interest in engineering, but their use in primary education is under pressure due to doubts about their effect on learning. Based on the Challenge Point Framework, we hypothesized that an adaptive approach in which a pupil starts with tasks at its level of prior knowledge would raise the learning results of hands-on…
Descriptors: Difficulty Level, Prior Learning, Elementary School Students, Individualized Instruction
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Daniel Lupiya Mpolomoka – Pedagogical Research, 2025
Overview: This systematic review explores the utilization of artificial intelligence (AI) for assessment, grading, and feedback in higher education. The review aims to establish how AI technologies enhance efficiency, scalability, and personalized learning experiences in educational settings, while addressing associated challenges that arise due…
Descriptors: Artificial Intelligence, Higher Education, Evaluation Methods, Literature Reviews
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Frank Stinar; HaeJin Lee; Clara Belitz; Nidhi Nasiar; Stephen E. Fancsali; Steve Ritter; Husni Almoubayyed; Ryan S. Baker; Jaclyn Ocumpaugh; Nigel Bosch – International Educational Data Mining Society, 2025
Students' reading ability affects their outcomes in learning software even outside of reading education, such as in math education, which can result in unexpected and inequitable outcomes. We analyze an adaptive learning software using Bayesian Knowledge Tracing (BKT) to understand how the fairness of the software is impacted when reading ability…
Descriptors: Mathematics Education, Bayesian Statistics, Reading Ability, Information Management
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Pearl Subban; Muhamad Nanang Suprayogi; Melly Preston; Annisa Nanda Liyani; Andrea Prita Purnama Ratri – Asia-Pacific Education Researcher, 2025
Differentiated instruction is an effective means of addressing student diversity, and is increasingly being adopted by educators within the higher education sector. However, the global pandemic and changes to content delivery have altered the educational landscape. Hybridised delivery has resulted in the need for more innovative and contemporary…
Descriptors: Individualized Instruction, Educational Benefits, Teacher Attitudes, College Faculty
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Khaldi, Amina; Bouzidi, Rokia; Nader, Fahima – Smart Learning Environments, 2023
In recent years, university teaching methods have evolved and almost all higher education institutions use e-learning platforms to deliver courses and learning activities. However, these digital learning environments present significant dropout and low completion rates. This is primarily due to the lack of student motivation and engagement.…
Descriptors: Gamification, Electronic Learning, Higher Education, Recognition (Achievement)
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Yang, Christopher C. Y.; Ogata, Hiroaki – Education and Information Technologies, 2023
The application of student interaction data is a promising field for blended learning (BL), which combines conventional face-to-face and online learning activities. However, the application of online learning technologies in BL settings is particularly challenging for students with lower self-regulatory abilities. In this study, a personalized…
Descriptors: Individualized Instruction, Learning Analytics, Intervention, Academic Achievement
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