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Showing 1 to 15 of 84 results Save | Export
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Yung-Ming Cheng – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to explore whether gamification and personalization as environmental stimuli to learners' learning engagement (LE) can affect their learning persistence (LP) in massive open online courses (MOOCs) and, in turn, their learning…
Descriptors: MOOCs, Gamification, Learner Engagement, Academic Persistence
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Andreas de Barros; Alejandro J. Ganimian – Journal of Research on Educational Effectiveness, 2024
This is one of the first studies to evaluate the impact of computer-based individualized instruction in a developing country. We randomly assigned 1,528 students in grades 6-8 in 15 "model" public schools in Rajasthan, India who were using a computer-adaptive learning software to: a control group, in which they were only able to access…
Descriptors: Foreign Countries, Individualized Instruction, Computer Assisted Instruction, Grade 6
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Mohammed Estaiteyeh; Isha DeCoito – Teacher Educator, 2025
To promote inclusive practices in science, technology, engineering, and mathematics (STEM) classrooms, this research explores teacher candidates' (TCs') views and understandings of differentiated instruction (DI). The article addresses the following research questions: (1) What are intermediate-senior STEM TCs' initial views and understandings of…
Descriptors: STEM Education, Preservice Teachers, Student Attitudes, Individualized Instruction
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Akmal Rijal; Aswarliansyah; Budi Waluyo – Journal of Education and Learning (EduLearn), 2025
This study looked at the effectiveness of differentiated learning in enhancing students' mathematical outcomes by incorporating varied content, processes, and products. Employing a mixed-methods experimental design, the research hypothesized that differentiated instruction significantly influences students' performance in mathematics exams. The…
Descriptors: Mathematics Instruction, Elementary School Students, Individualized Instruction, Mathematics Achievement
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Ataharul Chowdhury; Khondokar H. Kabir; Nasir Abbas Khan; Ryan Gibson; Mike McMorris – Journal of Agricultural Education and Extension, 2025
Purpose: Extension and advisory services (EAS) are crucial for farm success and rural well-being in Canada. Like elsewhere, Ontario's EAS has transformed, embracing diverse providers and methods. While research on pluralistic EAS grows, little examines how stakeholders perceive the effectiveness of different methods. This study fills the gap,…
Descriptors: Foreign Countries, Extension Education, Rural Areas, Agricultural Occupations
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Wei Yin; Sri Suryanti; Chomphu Kotirum – African Educational Research Journal, 2025
Based on the Myers-Briggs Type Indicator (MBTI), this study explored the effect of Individualized teaching strategies in vocational college students' employment courses. Given the different personality types of students, the study aims to improve students' participation, understanding, and employability in employment courses through tailored…
Descriptors: Individualized Instruction, Career and Technical Education, College Students, Personality Traits
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Nur Ihsan Halil; Hendri Yawan; Andi Nur Hasanah; Hariadi Syam; Netty Huzniati Andas; Marhamah – International Journal of Language Education, 2024
The "Guru Penggerak" program is Indonesia's "Merdeka Belajar" initiative, aiming to enhance the quality of education by equipping teachers to implement differentiated instruction (DI). This study investigates its implementation focusing on Indonesian language teachers who have been qualified as the "Guru Penggerak."…
Descriptors: Foreign Countries, Individualized Instruction, Language Teachers, Teacher Competencies
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Jason Zagami – International Journal on E-Learning, 2024
This mixed methods study investigates the role of AI chatbots in assisting preservice teachers with creating differentiated lesson plans that emphasise student diversity and inclusion within an online learning environment. By conducting a comparative analysis of preservice teachers utilising AI chatbots versus those who did not, the research…
Descriptors: Artificial Intelligence, Preservice Teachers, Preservice Teacher Education, Individualized Instruction
Pilar Cuevas-Ruiz; Luz Rello; Ismael Sanz; Almudena Sevilla – Annenberg Institute for School Reform at Brown University, 2025
Persistent literacy skills deficits hinder educational attainment, limit labour market opportunities, and exacerbate socioeconomic inequalities. This paper evaluates the causal effect of an AI-driven Computer-Assisted Learning (CAL) program implemented by the Government of Madrid, which features personalised, adaptive content and real-time…
Descriptors: Artificial Intelligence, Individualized Instruction, Reading Skills, Equal Education
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Zekai Ayik; Muhammet Davut Gül – Education and Information Technologies, 2025
This study examines the impact of participation in AR integrated enrichment (GIFTLED Method) workshops and classroom implementations on teachers' competencies in differentiation practices and the use of Instructional Technologies (IT) in the STEAM education of gifted students. Focusing on the development of teachers' Gifted Technological…
Descriptors: Gifted Education, Pedagogical Content Knowledge, Technological Literacy, Teacher Competencies
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June Alexander; Sandra Gendera; Sally Robinson; Karen R. Fisher; Kellie Howe – Journal of Intellectual & Developmental Disability, 2024
Background: Traineeships have been proven to be beneficial vocational pathways for people with intellectual disability however to date the on-the-job training provision associated with traineeships has not been well documented. Method: This study describes components of on-the-job training provided to eight people, most with intellectual…
Descriptors: On the Job Training, Intellectual Disability, Aging (Individuals), Older Adults
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Zhou, Cong – Education and Information Technologies, 2023
Modern technology integration in higher education on the example of artificial intelligence use as a personalized learning platform can facilitate learning of various subjects. The research questions are explained by the desire to obtain new experimental data on the modern technology integration in higher education using artificial intelligence as…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Higher Education
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Muhammad Younas; Iskander Ismayil; Dina Abdel Salam El-Dakhs; Behzad Anwar – Open Praxis, 2025
This meta-analysis examines the diverse effects of artificial intelligence (AI), notably ChatGPT, on intelligent learning in the education industry over the last four years. Despite the rapid integration into education of AI tools such as ChatGPT, which have the potential to enhance personalized learning and administrative efficiency, there…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Program Effectiveness
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Gökhan Hiniz; Aysun Yavuz – Journal of Digital Learning in Teacher Education, 2024
This instrumental case study explored 10 English as a foreign language (EFL) instructors' perceptions and experiences of participating in an asynchronous online professional development (OPD) program. The study aimed to explore instructors' professional development (PD) needs, the factors influencing their participation in OPD, and the perceived…
Descriptors: Foreign Countries, Faculty Development, Language Teachers, Second Language Instruction
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Suárez-Perdomo, Arminda; Byrne, Sonia; Rodrigo, María José – Electronic Journal of Research in Educational Psychology, 2022
Introduction: The increasing use of online parenting resources offers the opportunity to improve the parenting role through Personal Learning Environments (PLEs). However, there is no evidence concerning the effectiveness of the learning process that takes place in a PLE space. Method: We evaluated the "Positive Parent" program through…
Descriptors: Parenting Skills, Web Based Instruction, Program Evaluation, Spanish Speaking
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