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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
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
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
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
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
Oliveira, Eduardo; de Barba, Paula; Corrin, Linda – Australasian Journal of Educational Technology, 2021
Smart learning environments (SLE) provide students with opportunities to interact with learning resources and activities in ways that are customised to their particular learning goals and approaches. A challenge in developing SLEs is providing resources and tasks within a single system that can seamlessly tailor learning experience in terms of…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Undergraduate Students
Khetam Shraideh – International Society for Technology, Education, and Science, 2023
Youth make up over half of Jordan's population, and almost half of them are unemployed. Young people experience apathy and frustration due to a lack of employment opportunities and an education system that does not prepare them for the workforce. In Jordanian Higher Education Institutions, student success is our focus. However, we still follow a…
Descriptors: Translation, Professional Education, Language Processing, Second Languages
Rogers, John; Cheung, Anisa – Journal of Education for Teaching: International Research and Pedagogy, 2020
This research report presents the preliminary findings of mixed-methods study examining the beliefs of trainee teachers regarding a number of 'learning myths', e.g., learning styles and multiple intelligences. Using a cross-sectional experimental design, survey data were collected from 65 pre-service teachers enrolled in a high-profile Bachelor of…
Descriptors: Preservice Teacher Education, Preservice Teachers, Student Attitudes, Beliefs
Shin, Sungwon – TechTrends: Linking Research and Practice to Improve Learning, 2021
This paper is a report of a design-based research project undertaken to build a blended teacher education program that focuses on cultivating teachers' competencies for personalized and blended learning in K-12 classrooms. Two iterations were designed and examined in total, with 10 teacher educators and two teacher candidate cohorts. Teacher…
Descriptors: Blended Learning, Teacher Education Programs, Preservice Teachers, Teacher Competencies