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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
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
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
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
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
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
Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education
Danielle Kearns-Sixsmith – Pennsylvania Teacher Educator, 2024
This scoping review explored university supervisors' roles, responsibilities, challenges, and changes over 70 years. Using the PRISMA-ScR method and 90 analyzed publications, the results yielded articles from every decade and from educator preparation programs across the United States. The findings highlight historical perspectives and…
Descriptors: Supervisors, Barriers, Educational History, Educational Change
Paul W. Cascella – Teaching and Learning in Communication Sciences & Disorders, 2025
This paper highlights the utility of personalized learning (PL) embedded into an on-campus graduate seminar focused on pediatric speech sound disorders (PSSD). The example showcases six key PL features described from an autoethnographic lens. These include: (a) context-specific positionality viewpoints (i.e., instructor, student, discipline, and…
Descriptors: Individualized Instruction, Graduate Study, Seminars, Allied Health Occupations Education
Orji, Fidelia A.; Vassileva, Julita; Greer, Jim – International Journal of Artificial Intelligence in Education, 2021
Persuasive Technologies (PT) are computational methods, strategies, and design techniques, grounded in social psychology to change user attitudes/behaviours. PTs have been applied in diverse areas, such as eCommerce, health, workplace, vehicles, urban and ambient environments. A kind of PT that has become popular in eLearning is known under the…
Descriptors: Intervention, Program Effectiveness, Learner Engagement, Class Size
Michela Carlana; Eliana La Ferrara – National Bureau of Economic Research, 2024
We study the Tutoring Online Program (TOP), where: (i) tutoring is entirely online; (ii) tutors are volunteer university students, matched with underprivileged middle school students. We leverage random assignment to estimate effects during and after the pandemic (2020 and 2022), investigating channels of impact. Three hours of individual tutoring…
Descriptors: Tutoring, Computer Mediated Communication, College Students, Middle School Students
Susan Freda Edwards – ProQuest LLC, 2022
In 2018, the Honor Society (pseudonym) developed an online, self-paced training module for chapter sponsors to help them coach community college students during the collaborative learning project process. The collaborative learning project is one of the principal ways the Honor Society fulfills its mission to provide opportunities to college…
Descriptors: Honor Societies, Community College Students, Cooperative Learning, Individualized Instruction
Laura L. Newton Maron – ProQuest LLC, 2021
All students, no matter their ability or disability deserve equal opportunities, equity in programming and practices, and opportunity to reach their full potential. No child should be held back from achieving their goals due to lack of appropriate programs and services provided by schools. Unfortunately, this is not often the case. What is…
Descriptors: Special Education, Parent Attitudes, Parents, High Schools
Moubayed, Abdallah; Injadat, Mohammadnoor; Shami, Abdallah; Lutfiyya, Hanan – American Journal of Distance Education, 2020
E-learning platforms and processes face several challenges, among which is the idea of personalizing the e-learning experience and to keep students motivated and engaged. This work is part of a larger study that aims to tackle these two challenges using a variety of machine learning techniques. To that end, this paper proposes the use of k-means…
Descriptors: Learner Engagement, Electronic Learning, Individualized Instruction, Undergraduate Students

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