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Pröbster, Monika; Soto, Marina Velert; Connolly, Cornelia; Marsden, Nicola – European Journal of Open, Distance and E-Learning, 2022
Avatar-based virtual reality (VR) is becoming more prevalent in industry and educational settings. There is, however, limited research on the extent to which gender stereotypes are present in this environment. The university laboratory study presented in this paper was conducted in a VR environment with participants who were randomly assigned to…
Descriptors: Computer Simulation, Sex Stereotypes, Sex Role, Administrators
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Mohamed, Tarek Ismail; Sicklinger, Andreas – Education and Information Technologies, 2022
With the rapid digital developments, the practice and study of VR/AR technologies reached almost all the design disciplines by considering different applications. Therefore, there is continuous pressure on design education, where course programs in graphic design, media design, fashion design, and product design must promptly incorporate these new…
Descriptors: Design, Technology Integration, Educational Technology, College Students
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Gordillo, Aldo; Lopez-Fernandez, Daniel; Tovar, Edmundo – IEEE Transactions on Education, 2022
Contribution: This article compares the effectiveness for online software engineering education of video-based learning and game-based learning using teacher-authored educational video games created by using authoring tools. Background: Although substantial research has evaluated the impact of video-based and game-based learning versus traditional…
Descriptors: Computer Software, Video Games, Game Based Learning, Program Effectiveness
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Vujovic, Milica; Hernández-Leo, Davinia – IEEE Transactions on Education, 2022
Contribution: This article presents a study that adds evidence to the field of computer education by focusing on the interaction between shapes of tables, group size, and gender, and their effects on on-task collaborative learning actions. By studying the collaborative learning environment in the context of computer education, the aim is to…
Descriptors: Computer Science Education, Engineering Education, Cooperative Learning, Task Analysis
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Conijn, Rianne; Cook, Christine; van Zaanen, Menno; Van Waes, Luuk – International Journal of Artificial Intelligence in Education, 2022
Feedback is important to improve writing quality; however, to provide timely and personalized feedback is a time-intensive task. Currently, most literature focuses on providing (human or machine) support on product characteristics, especially after a draft is submitted. However, this does not assist students who struggle "during" the…
Descriptors: Writing Skills, Teacher Response, Writing (Composition), Writing Evaluation
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Dailey-Hebert, Amber – InSight: A Journal of Scholarly Teaching, 2022
Following the global pandemic, educators relied heavily on live videoconferencing options and online meeting spaces to host class in lieu of traditional, in-person classroom learning. Yet, exhaustion and Zoom fatigue fueled a lack of engagement in such online spaces, while simultaneously the need for more informal connection to support learners'…
Descriptors: Student Attitudes, Computer Simulation, Learner Engagement, Distance Education
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Veerasamy, Ashok Kumar; Laakso, Mikko-Jussi; D'Souza, Daryl – Informatics in Education, 2022
Previous studies have proposed many indicators to assess the effect of student engagement in learning and academic achievement but have not yet been clearly articulated. In addition, while student engagement tracking systems have been designed, they rely on the log data but not on performance data. This paper presents results of a non-machine…
Descriptors: Formative Evaluation, Educational Indicators, Learner Engagement, At Risk Students
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Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Journal of Educational Technology in Higher Education, 2022
Automatic analysis of the myriad discussion messages in large online courses can support effective educator-learner interaction at scale. Robust classifiers are an essential foundation for the use of automatic analysis of cognitive presence in practice. This study reports on the application of a revised machine learning approach, which was…
Descriptors: MOOCs, Philosophy, Artificial Intelligence, Computer Mediated Communication
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Young, Jimmy A. – Journal of Social Work Education, 2022
Computational social science methods provide a better understanding of how social work education programs use Twitter. Data mining and sentiment analysis of 2,509 tweets were conducted using the Information, Community, and Action conceptual framework. Programs primarily tweet content related to the theme of Information and the tone of the tweets…
Descriptors: Social Work, College Programs, Computer Mediated Communication, Social Networks
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Ince, Ebru Yilmaz; Kabul, Nurcihan; Kabul, Ahmet – Journal of Learning and Teaching in Digital Age, 2022
During the pandemic process, education and training have continued with distance education in public and private schools affiliated to the Ministry of National Education since 13 March 2020. The aim of this study is to determine the knowledge and opinion of students about distance education in high school during the pandemic process. A total of…
Descriptors: High School Students, Student Attitudes, Distance Education, COVID-19
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Rodero, Emma; Larrea, Olatz – Comunicar: Media Education Research Journal, 2022
The ability to communicate effectively is a crucial aspect of education. For college students, learning how to speak in public is essential for their academic and professional future. However, many students report fear of speaking in public, the so-called Public Speaking Anxiety (PSA). This study aims to implement a training program using Virtual…
Descriptors: Computer Simulation, Public Speaking, Anxiety, College Students
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Mensah, Isaac Kofi; Zeng, Guohua; Luo, Chuanyong; Lu, Mengqiu; Xiao, Zhi-Wu – SAGE Open, 2022
This research paper investigated the adoption behavior of college students toward the e-learning system amidst the current COVID-19. The model was developed and validated based on the Technology Acceptance Model (TAM) and the partial least squares-structural equation modeling (PLS-SEM) was used to analyze the data. The data was generated from 316…
Descriptors: Electronic Learning, Intention, College Students, COVID-19
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Idoga, Patience E.; Kazaure, Ahamed Sani – Asian Journal of Contemporary Education, 2022
The educational paradigm is constantly evolving; this is largely due to continuous emerging educational tools and technologies. This development has altered the traditional ways of teaching and learning. Present global trends have further increased or forced the adoption of technology in all its ramifications, resulting in a reliance that could…
Descriptors: COVID-19, Pandemics, Educational Technology, Teaching Methods
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Bahari, Akbar; Barrot, Jessie S.; Sarkhosh, Mehdi – TESOL Journal, 2022
Educational technology (ET) can reportedly provide innovative resources to improve the language learning process. However, few studies have elaborated on the use of ET for language teacher education and professional development. To shed light on the reported challenges and affordances of digital technology in language teacher education and…
Descriptors: Educational Technology, Technology Uses in Education, Language Teachers, Teacher Education
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Özdemir, Adem; Vural, Mustafa; Süleymanogullari, Mesut; Bayraktar, Gökhan – Journal of Educational Technology and Online Learning, 2022
Metaverse is a new concept which is frequently discussed in many fields such as health, art, sports, entertainment, education, trade, and marketing. The scope and actuality of this concept, which expresses a new digital world beyond the universe, necessitated this study. In this study; gender, age, duration of social media usage and levels of…
Descriptors: College Students, Computer Simulation, Student Attitudes, Technology Uses in Education
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