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Uslu, Nilüfer Atman; Yavuz, Gulay Öztüre; Usluel, Yasemin Koçak – Interactive Learning Environments, 2023
This study, which systematically examines educational robotics and robots (ERR), has two purposes. (1) Classifying the research on the ERR to identify research trends and gaps, (2) Summarizing the experimental findings related to ERR and to interpret them according to the claims in the literature. A mixed method combining systematic mapping and…
Descriptors: Literature Reviews, Educational Technology, Robotics, Educational Theories
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Ra'ed Masa'deh; Mohammad Zakaria AlQudah; Ahmad Shatnawi; Husni Samara; Dafar Ghasawneh; Rehan Tareq Al_Majali; Abdelmajid Al-Rahamneh – On the Horizon, 2025
Purpose: This study aims to consolidate existing research on digital technology in business education, focusing on adoption determinants, theoretical frameworks and implementation challenges. Design/methodology/approach: A hybrid literature review was conducted. The first phase involved a keyword co-occurrence analysis of 254 Association of…
Descriptors: Literature Reviews, Business Education, Technology Uses in Education, Educational Technology
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Jun Liu; Cong Wang; Zile Liu; Minghui Gao; Yanhua Xu; Jiayu Chen; Yichun Cheng – Asia Pacific Journal of Education, 2024
The rapid advancement of generative AI technology offers new opportunities for the innovation and transformation of education. However, this also brings forth risks and challenges, including the potential to exacerbate educational inequality and integrity. This study aims to address the extensive controversies surrounding the application of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Bibliometrics, Content Analysis
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Ishfaq Majid; Y. Vijaya Lakshmi – Online Submission, 2024
The models of E-learning Readiness (ELR) are basically designed to understand the process of obtaining the basic information necessary for measuring ELR among participants. They help organizations to identify the requirements for designing, developing and implementing E-learning. These models not only help the organizations to identify the degree…
Descriptors: Electronic Learning, Models, Readiness, Content Analysis
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Wei Zhang; Mingxuan Cai; Hong Joo Lee; Richard Evans; Chengyan Zhu; Chenghan Ming – Education and Information Technologies, 2024
Artificial Intelligence (AI) is transforming healthcare and shows considerable promise for the delivery of medical education. This systematic review provides a comprehensive analysis of the global situation, effects, and challenges associated with applying AI at the different stages of medical education. This review followed the PRISMA guidelines,…
Descriptors: Artificial Intelligence, Medical Education, Content Analysis, Teaching Methods
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Boulus Shehata; Ahmed Tlili; Ronghuai Huang; Charles B. Hodges; Asha Kanwar – TechTrends: Linking Research and Practice to Improve Learning, 2025
There is a knowledge gap in tracing and analyzing historical records (e.g., annual or bi-annual) of educational technology, particularly, exploring emerging technology trends and their uptake in education. This study addresses this gap by reviewing technology adoption in education, based on bibliometric and content analyses of EDUCAUSE Horizon…
Descriptors: Technology Uses in Education, Technology Integration, Technological Advancement, Educational Trends
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Vânia Carlos; Gabriela Reses; Sandra C. Soares – Interactive Learning Environments, 2024
As spaces, physical or virtual, are change agents and can have an impact on learning, the power of built pedagogy is being acknowledged in Higher Education. Emphasis is being placed on the design of Active Learning Spaces (ALS) and its impact on pedagogy, by fostering active learning. However, the field is fragmented, due to a profusion of terms…
Descriptors: Literature Reviews, Content Analysis, Classroom Design, Educational Environment
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Sophia Soomin Lee; Robert L. Moore – Online Learning, 2024
In this systematic review, we synthesize ten empirical peer-reviewed articles published between 2019 and 2023 that used generative artificial intelligence (GenAI) for automated feedback in higher education. There are significant opportunities and challenges to integrate these tools effectively into learning environments as the demand for timely…
Descriptors: Artificial Intelligence, Higher Education, Feedback (Response), Grading
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Pekka Mertala; Eleni Moens; Marko Teräs – Learning, Media and Technology, 2024
Citations are valuable capital in the academy as the number of citations is the most frequently used indicator in evaluating the quality of papers, journals, researchers, and universities. Thus, the characteristics of highly cited articles (HCA) have become a common research topic but the approach has been mainly descriptive with no profound…
Descriptors: Credibility, Information Sources, Content Analysis, Media Research
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Xieling Chen; Di Zou; Haoran Xie; Gary Cheng; Zongxi Li; Fu Lee Wang – International Review of Research in Open and Distributed Learning, 2025
Massive open online courses (MOOCs) offer rich opportunities to comprehend learners' learning experiences by examining their self-generated course evaluation content. This study investigated the effectiveness of fine-tuned BERT models for the automated classification of topics in online course reviews and explored the variations of these topics…
Descriptors: MOOCs, Distance Education, Online Courses, Course Evaluation
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Lang, Guido; Sharp, Jason H. – Information Systems Education Journal, 2023
Micro-credentials have received renewed attention by universities as a potential pathway to highdemand careers. The goals of this study were to understand the prevalence of micro-credentials offered by universities, the characteristics of universities offering micro-credentials generally and information systems (IS) micro-credentials specifically,…
Descriptors: Microcredentials, Higher Education, Educational Technology, Institutional Characteristics
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Çakir, Recep; Sayin, Volkan; Bektas, Sümeyye – International Journal of Research in Education and Science, 2021
One of the reflections of technology to education is the flipped classroom model. In The Flipped Classroom model, the lecture process on a subject is delivered at home, while the application process that is related to the subject is in the class. The purpose of this study is to examine the trends in recent years via bibliometric results of…
Descriptors: Bibliometrics, Flipped Classroom, Active Learning, Periodicals
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Edgar Octoyuda; Hendra Sakti Putra Siagian; Ivon Arisanti – Turkish Online Journal of Distance Education, 2025
Universities value student satisfaction with online learning techniques because it implies achievement. Additionally, teachers' use of ICT to boost student satisfaction should be examined. There is a limited amount of research on how video content in video-based learning and online learning experiences can improve student satisfaction as part of…
Descriptors: Educational Technology, Technology Uses in Education, Video Technology, Online Courses
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Ismael E. Espinosa-Curiel; Carlos A. Garcia de Alba-Chavez – IEEE Transactions on Learning Technologies, 2024
Serious video games provide a immersive learning environment for agriculture by simulating real-life challenges scenarios. However, empirical evidence of their effectiveness is sparse. This scoping review follows PRISMA-ScR guidelines to summarize literature on serious video games for agricultural learning, highlighting research trends and…
Descriptors: Educational Games, Agricultural Education, Video Games, Content Analysis
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Shilpi Harnal; Gaurav Sharma; Anupriya; Anand Muni Mishra; Deepak Bagga; Nikhil Saini; Pankaj Kumar Goley; Kumar Anupam – Journal of Computer Assisted Learning, 2024
Background: An innovative and interactive real-world environment can be presented with augmented reality (AR) that comprises digital visual elements, audio, or other sensory information delivered via technology to enhance one's experience. AR has numerous potential applications in various everyday fields. The education sector is one such arena…
Descriptors: Bibliometrics, Computer Simulation, Artificial Intelligence, Educational Technology
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