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Krzysztof Gurba; Anna Slósarz; Eugenia Smyrnova-Trybulska – International Association for Development of the Information Society, 2024
The content analysis included video lectures posted in 208 MOOCs on the Polish educational platform NAVOICA. The aim was to determine their subject matter and the methods of preparing video lectures. It turned out that video lectures were included in 57% of MOOCs, most often related to "Medical and health sciences" and…
Descriptors: MOOCs, Video Technology, Lecture Method, Visual Aids
Mari C. MacFarland; Joshua B. Plavnick; Kailie J. Kipfmiller; Adam S. McElyea – Journal of Autism and Developmental Disorders, 2025
Research has shown video modeling to be effective for training adult service providers to administer evidence-based practices to children with autism. This study examined the effects of video modeling training (VMT) on neurotypical adolescents' performance of peer mediated social interaction (PMSI), a 10-step procedure of simplified behavioral…
Descriptors: Video Technology, Technology Uses in Education, Educational Technology, Modeling (Psychology)
Israel Ulises Cayetano-Jimenez; Erick Axel Martinez-Rios; Rogelio Bustamante-Bello; Ricardo A. Ramirez-Mendoza; Maria Soledad Ramirez-Montoya – IEEE Transactions on Learning Technologies, 2024
Educational robotics (ER) is a discipline of applied robotics focused on teaching robot design, analysis, application, and operation. Traditionally, ER has favored rigid robots, overlooking the potential of soft robots (SRs). While rigid robots offer insights into dynamics, kinematics, and control, they have limitations in exploring the depths of…
Descriptors: Robotics, Educational Technology, Teaching Methods, Learning Activities
Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
Carrie A. Hansel; Joshua D. Quick; Cathrine E. Reck; Anna Hungerfield Greene; Maggie Ricci; Anne Ottenbreit-Leftwich – Journal of Teaching and Learning with Technology, 2024
This multicase study explores how instructors at one higher education institution used an emerging technology, Gradescope, in their large classes to support the assessment of student learning. The study examined the practices of two instructors who taught large lecture classes with more than 100 students and used Gradescope to assist with the…
Descriptors: Educational Technology, Large Group Instruction, Lecture Method, College Faculty
Taolin Zhang; Shuwen Jia; Charoula Angeli – International Journal of Web-Based Learning and Teaching Technologies, 2024
Considering the shortcomings of large evaluation errors, long time, human, and material resources in the evaluation process of the current college teaching mode to improve the accuracy of the evaluation of college teaching mode and reduce the cost of the evaluation, this study proposes an evaluation method for college teaching methods based on…
Descriptors: Evaluation Methods, Educational Change, Learning Analytics, Educational Technology
Levon Momdjian; Marni Manegre; Mar Gutiérrez-Colón – Research in Learning Technology, 2024
The impact of digitalisation on everyday life has necessitated the need for learners to acquire digital competence as part of their education. In order to prepare students to become digital citizens, it has become necessary for teachers to acquire and implement digital competence in the classroom. This study applied the DigCompEdu framework to…
Descriptors: Technological Literacy, Teacher Competencies, Educational Technology, Foreign Countries
Agostino Marengo; Alessandro Pagano; Jenny Pange; Kamal Ahmed Soomro – Interactive Technology and Smart Education, 2024
Purpose: This paper aims to consolidate empirical studies between 2013 and 2022 to investigate the impact of artificial intelligence (AI) in higher education. It aims to examine published research characteristics and provide insights into the promises and challenges of AI integration in academia. Design/methodology/approach: A systematic…
Descriptors: Literature Reviews, Artificial Intelligence, Technology Uses in Education, Higher Education
Amber Simpson; Adam V. Maltese – Technology, Pedagogy and Education, 2024
The purpose of this exploratory study is to propose a pedagogical nexus for maker educators that is specific to making and tinkering in K-12 formal learning environments. The intent is to document the pedagogical approaches of practising teachers as they gain experience with making practices and principles. Based on the analysis of interview data…
Descriptors: Teaching Methods, Shared Resources and Services, Elementary Secondary Education, Conventional Instruction
Alex Fegely; Cory Gleasman; Tammi Kolski – Educational Technology Research and Development, 2024
Computer science teaching standards for grades K-8 have been implemented in nearly all U.S. states, and the core subject area teachers (e.g., math, science, English, social studies) have been asked to integrate these standards into their instruction. Thus, it is important that K-8 pre-service teachers of all subjects are both prepared and…
Descriptors: Educational Technology, Robotics, Shared Resources and Services, Preservice Teacher Education
Stefanie Panke – Journal of Teacher Education, 2025
The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May-October 2024). By integrating AI tools into every phase of the research process, the study examines AI's role as both a research partner and a subject of inquiry. Field…
Descriptors: Ethnography, Artificial Intelligence, Computer Software, Instructional Design
Elvina Gusman; Ergun Gide; Ghulam Chaudhry; Mahmoud El Khodr – International Society for Technology, Education, and Science, 2023
This study aims to explore the challenges and opportunities of using digital technology in English teaching in higher education. Transforming the teaching and learning process from face-to-face to online learning by utilising digital technology devices and internet connectivity becomes challenging for lecturers and students. However, there are…
Descriptors: Educational Technology, Technology Integration, Higher Education, Teaching Methods
Duraisamy Akila; Harish Garg; Souvik Pal; Sundaram Jeyalaksshmi – Education and Information Technologies, 2024
Online education has been expected to be the future of learning; it will never replace the value of traditional classroom experiences fully. Technical problems have less impact on offline education, which gives students more freedom to plan their time and stick to it. In addition, teachers cannot observe their students' behavior and activities…
Descriptors: In Person Learning, Student Behavior, Attention, Artificial Intelligence
Joe Greenwood – Journal of Learning Development in Higher Education, 2023
With the pivot back to on-campus teaching, many students find themselves in an unfamiliar learning environment: the lecture theatre. This can result in low rates of participation in lectures, especially with a diverse student demographic, including English as an Additional Language students. This can result in exclusion from learning for these…
Descriptors: Educational Technology, Student Participation, Lecture Method, In Person Learning
Kenzhegul Shalgimbekova; Tatyana Smagliy; Rosa Kalimzhanova; Zhansaya Suleimenova – Cogent Education, 2024
The research aims to investigate the influence of integrating innovative teaching technologies on the effectiveness of the educational process and student motivation. This article employed a quantitative research design utilizing a questionnaire. The total number of participants in the study was 150 students. Participants were divided into…
Descriptors: Educational Technology, Educational Innovation, Student Motivation, Learning Processes