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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
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
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
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
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
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
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
Devers, Erin E.; Devers, Christopher J.; Miller, Paul D.; Alayan, Alexandra; Robertson, John; Baquet, Zachary; Ho, Nina; Echeverry, Shawnie; Heavner, Shayla K. – Journal of Interactive Learning Research, 2022
Many factors contribute to the achievement gap in the U.S. As an intervention to help narrow the gap, tutoring presents a potentially powerful solution. Decades of research suggest that tutoring is an effective, evidence-based approach to improve student success, with effect sizes ranging from 0.4. to 2.0. As many school systems in the U.S. move…
Descriptors: Electronic Learning, Tutoring, Program Evaluation, Program Effectiveness
Yilmaz, Gamze – Journal of Communication Pedagogy, 2023
As students try to make sense of their college experience and the value of attaining a degree post-pandemic, educators are grappling with finding new methods to re-engage students in the classroom using a range of modalities. This case study explored student reactions to flipped classroom learning experiences, and possible relationship between the…
Descriptors: Flipped Classroom, Student Attitudes, Academic Achievement, Communications
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
Jasmine Kim; Joseph Burey; HyeJin Hwang; Kristen McMaster; Panayiota Kendeou – Grantee Submission, 2023
The purpose of this study is to evaluate the role of the Early Language Comprehension Individualized Instruction (ELCII) program in supporting kindergarteners' learning of inference-making during the COVID-19 pandemic. Two different cohorts of pre- and in-pandemic students completed the ELCII program, which was designed to teach them how to make…
Descriptors: Inferences, COVID-19, Pandemics, Individualized Instruction
Jasmine Kim; Joseph Burey; HyeJin Hwang; Kristen McMaster; Panayiota Kendeou – Reading and Writing: An Interdisciplinary Journal, 2023
The purpose of this study is to evaluate the role of the Early Language Comprehension Individualized Instruction (ELCII) program in supporting kindergarteners' learning of inference-making during the COVID-19 pandemic. Two different cohorts of pre- and in-pandemic students completed the ELCII program, which was designed to teach them how to make…
Descriptors: Inferences, COVID-19, Pandemics, Individualized Instruction
Joyce VanTassel-Baska – Gifted Child Today, 2024
The author describes what the field of gifted education has accomplished since the advent of programming in the 1920s that has been of service to gifted learners, has been growth-producing, and has had a lasting impact on research and development initiatives. She also identifies what gifted education has not accomplished and the barriers that…
Descriptors: Gifted Education, Academically Gifted, Educational History, Barriers
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
Integration of Modern Technologies in Higher Education on the Example of Artificial Intelligence Use
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