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Hew, Khe Foon; Huang, Weijiao; Du, Jiahui; Jia, Chengyuan – Journal of Computing in Higher Education, 2023
Although fully online learning is now the 'new normal' in many parts of the world, its implementation is often beset by challenges such as the lack of student self-regulation, and the sense of isolation. In this paper, we explored the use of chatbots to support student goal setting (Study 1) and social presence (Study 2) in online activities. In…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Goal Orientation, Electronic Learning
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Prapasiri Klayklung; Piyawatjana Chocksathaporn; Pongsakorn Limna; Tanpat Kraiwanit; Kris Jangjarat – Online Submission, 2023
The development of conversational artificial intelligence (AI) has brought about new opportunities for improving the learning experience in education. ChatGPT, a large language model trained on a vast corpus of text, has the potential to revolutionize education by enhancing learning through personalized and interactive conversations. This paper…
Descriptors: Artificial Intelligence, Interaction, Foreign Countries, Technology Integration
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Healy, Eamonn F.; Blade, Glenn – Journal of Chemical Education, 2020
While synthesis projects are not uncommon in the undergraduate organic curriculum, the problems posed are usually not representative of what chemists actually do. The sudden dislocation to online learning precipitated by the COVID-19 pandemic provided both a need and an opportunity to develop an organic synthesis project with greater relevance to…
Descriptors: Organic Chemistry, College Science, Science Instruction, Electronic Learning
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Meikleham, Alexandra; Hugo, Ron – European Journal of Engineering Education, 2020
Quality feedback is crucial to learning; the growth of online delivery has altered how it is obtained and shared. Educators interested in improving online learning can benefit from understanding formal and informal feedback flows existing in face-to-face environments and how these transfer online. This article examines the nuance of informal…
Descriptors: Feedback (Response), Curriculum Design, Online Courses, Electronic Learning
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Yong, Binbin; Jiang, Xuetao; Lin, Jiayin; Sun, Geng; Zhou, Qingguo – Educational Technology & Society, 2022
Deep learning (DL), as the core technology of artificial intelligence (AI), has been extensively researched in the past decades. However, practical DL education needs large marked datasets and computing resources, which is generally not easy for students at school. Therefore, due to training datasets and computing resources restrictions, it is…
Descriptors: Electronic Learning, Artificial Intelligence, Shared Resources and Services, Instructional Materials
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Fahd, Kiran; Venkatraman, Sitalakshmi; Miah, Shah J.; Ahmed, Khandakar – Education and Information Technologies, 2022
Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…
Descriptors: Artificial Intelligence, Electronic Learning, Higher Education, Academic Achievement
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Li, Chenglu; Xing, Wanli; Leite, Walter L. – Distance Education, 2022
Help-seeking is a valuable practice in online discussion forums. However, the asynchronicity and information overload of online discussion forums have made it challenging for help seekers and providers to connect effectively. This study formulated a new method to provide fair and accurate insights toward building a peer recommender to support…
Descriptors: Peer Relationship, Help Seeking, Electronic Learning, Distance Education
Li, Chenglu; Xing, Wanli; Leite, Walter L. – Grantee Submission, 2022
Help-seeking is a valuable practice in online discussion forums. However, the asynchronicity and information overload of online discussion forums have made it challenging for help seekers and providers to connect effectively. This study formulated a new method to provide fair and accurate insights toward building a peer recommender to support…
Descriptors: Peer Relationship, Help Seeking, Electronic Learning, Distance Education
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Vanichvasin, Patchara – International Education Studies, 2021
The research aimed to: 1) develop the chatbot; 2) evaluate its effectiveness; and 3) investigate its effects on students' research knowledge. The sample consisted of 36 Thai university students. The research instruments consisted of: 1) the chatbot; 2) an evaluation form; 3) an effectiveness questionnaire; and 4) research tests. Data analysis used…
Descriptors: Educational Technology, Computer Mediated Communication, Instructional Effectiveness, Research Skills
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Lorenzo, Neus; Gallon, Ray; Palau, Ramon; Mogas, Jordi – Technology, Knowledge and Learning, 2021
This paper provides theoretical reflections and recommendations for implementing smart learning spaces in schools. Learning resource networks are enlarging students' opportunities for exploring alternative formal, non-formal and informal education, in physical and virtual learning spaces, inside and outside traditional classrooms. Smart Pedagogy…
Descriptors: Educational Technology, Artificial Intelligence, Electronic Learning, Program Implementation
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Lee, Alwyn Vwen Yen – Educational Technology & Society, 2021
The understanding of online classroom talk is a challenge even with current technological advancements. To determine the quality of ideas in classroom talk for individual and groups of students, a new approach such as precision education will be needed to integrate learning analytics and machine learning techniques to improve the quality of…
Descriptors: Learning Analytics, Artificial Intelligence, Classroom Communication, Electronic Learning
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Smith, Donald A. – Physics Teacher, 2021
A working knowledge of Artificial Neural Networks is rapidly becoming critical for navigating the modern world. Although the last few years have seen an explosion of the use of these tools in research, and there are many do-it-yourself articles on the web, they have not yet filtered down to wide implementation in introductory courses. I report…
Descriptors: Artificial Intelligence, Man Machine Systems, Introductory Courses, Astronomy
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José Alexandre de Carvalho Gonçalves, Editor; José Luís Sousa de Magalhães Lima, Editor; João Paulo Coelho, Editor; Francisco José García-Peñalvo, Editor; Alicia García-Holgado, Editor – Lecture Notes in Educational Technology, 2024
This proceedings volume presents outstanding advances, with a multidisciplinary perspective, in the technological ecosystems that support Knowledge Society building and development. With its learning technology-based focus using a transversal approach, TEEM is divided into thematic and highly cohesive tracks, each of which is oriented to a…
Descriptors: Educational Assessment, Man Machine Systems, Electronic Learning, Computer Uses in Education
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Feifei Han – Australasian Journal of Educational Technology, 2024
This study examined Chinese undergraduate medical students' acceptance and adoption of intelligent tutoring systems (ITSs) using the general extended technology acceptance model for e-learning via a Likert-scale questionnaire. Specifically, it examined the relations between the five antecedents and the four core components in the model (i.e.,…
Descriptors: Foreign Countries, Influences, Undergraduate Students, Undergraduate Study
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Alexander Stanoyevitch – Discover Education, 2024
Online education, while not a new phenomenon, underwent a monumental shift during the COVID-19 pandemic, pushing educators and students alike into the uncharted waters of full-time digital learning. With this shift came renewed concerns about the integrity of online assessments. Amidst a landscape rapidly being reshaped by online exam/homework…
Descriptors: Computer Assisted Testing, Student Evaluation, Artificial Intelligence, Electronic Learning
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