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Showing 1 to 15 of 56 results Save | Export
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Xuehan Zhou; Liping Ma; Shangcong Bu; Wei Ha – Research in Higher Education, 2025
This paper examines the effect of class size on student's academic and behavioral performance in synchronous online courses, utilizing student-level administrative data and website clickstream data from a research university in China. By examining variations in class sizes within students but across classes, we revealed a significant negative…
Descriptors: Class Size, Academic Achievement, Student Behavior, College Students
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Volpe, Samantha; Zane, Thomas; Weiss, Mary Jane – Journal of College and Character, 2023
With the availability of remote instruction anywhere in the world, students from all over the globe are participating together in academic programs. The growth of synchronous online learning has occasioned the development of rules for appropriate online behavior (i.e., Netiquette). Netiquette rules are needed because some students have a tendency…
Descriptors: Online Courses, Distance Education, Behavior Standards, Synchronous Communication
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Samsudeen Sabraz Nawaz; Mohamed Buhary Fathima Sanjeetha; Ghadah Al Murshidi; Mohamed Ismail Mohamed Riyath; Fadhilah Bt Mat Yamin; Rusith Mohamed – Interactive Technology and Smart Education, 2024
Purpose: This study aims to investigate Sri Lankan Government university students' acceptance of Chat Generative Pretrained Transformer (ChatGPT) for educational purposes. Using the unified theory of acceptance and use of technology 2 (UTAUT2) model as the primary theoretical lens, this study incorporated personal innovativeness as both a…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Computer Software
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Hagit Meishar-Tal; Alona Forkosh-Baruch – Interactive Learning Environments, 2024
One of the phenomena that lecturers who switched to online distance learning during COVID-19 reported is the refusal of students to turn on their cameras during online classes. This study aimed to examine the factors that predict the opening of cameras in class. The study examined this issue regarding three types of predictors: resistance factors,…
Descriptors: Foreign Countries, College Students, Online Courses, Synchronous Communication
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Kaysi, Feyzi – Interactive Learning Environments, 2023
With the rising influence of technology, students have become heavy users of instant messaging applications. It makes one wonder about students' motivations in using these applications and their usage habits. The aims of this study were to analyze the messaging activities of university students in blended classroom groups, to investigate the…
Descriptors: College Students, Synchronous Communication, Handheld Devices, Student Behavior
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Artur Strzelecki – Innovative Higher Education, 2024
AI-powered chat technology is an emerging topic worldwide, particularly in areas such as education, research, writing, publishing, and authorship. This study aims to explore the factors driving students' acceptance of ChatGPT in higher education. The study employs the unified theory of acceptance and use of technology (UTAUT2) theoretical model,…
Descriptors: Artificial Intelligence, Synchronous Communication, Computer Mediated Communication, Higher Education
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Guiqin Liang; Chunsong Jiang; Qiuzhe Ping; Xinyi Jiang – Interactive Learning Environments, 2024
With long-term impact of COVID-19 on education, online interactive live courses have been an effective method to keep learning and teaching from being interrupted, attracting more and more attention due to their synchronous and real-time interaction. However, there is no suitable method for predicting academic performance for students…
Descriptors: Academic Achievement, Prediction, Engineering Education, Online Courses
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Yu Song; Longchao Huang; Lanqin Zheng; Mengya Fan; Zehao Liu – International Journal of Educational Technology in Higher Education, 2025
This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…
Descriptors: Artificial Intelligence, Graduate Students, Student Behavior, Creativity
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Nizar Saputra; Mulyani; Asirah – Journal of English Teaching, 2024
With the expanding realm of online education in Indonesia, determining factors influencing university students' participation in distinct modes of virtual learning is crucial to developing more effective digital pedagogy. This research aims to scrutinize factors affecting Indonesian EFL (English as a Foreign Language) university students' low…
Descriptors: Foreign Countries, College Students, Online Courses, Electronic Learning
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Tapas Sudan; Arjun Hans; Rashi Taggar – Interactive Technology and Smart Education, 2024
Purpose: The intricate dynamics of ChatGPT adoption among Indian students are discussed while exploring the factors outlined by Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). By assessing these factors, this study aims to unravel their impact on the behavioral intention to use ChatGPT. Design/methodology/approach: While evaluating…
Descriptors: Transformative Learning, Technology Uses in Education, Artificial Intelligence, Computer Software
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Artur Strzelecki – Interactive Learning Environments, 2024
ChatGPT is an AI tool that assisted in writing, learning, solving assessments and could do so in a conversational way. The purpose of the study was to develop a model that examined the predictors of adoption and use of ChatGPT among higher education students. The proposed model was based on a previous theory of technology adoption. Seven…
Descriptors: Computer Software, Artificial Intelligence, Synchronous Communication, Technology Uses in Education
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Hyeon Jo – International Journal of Educational Technology in Higher Education, 2024
Artificial Intelligence (AI) chatbots are increasingly becoming integral components of the digital learning ecosystem. As AI technologies continue to evolve, it is crucial to understand the factors influencing their adoption and use among students in higher education. This study is undertaken against this backdrop to explore the behavioral…
Descriptors: Artificial Intelligence, Computer Software, Educational Technology, Technology Uses in Education
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Dennen, Vanessa P.; Yalcin, Yasin; Hur, Jaesung; Screws, Bruce – Online Learning, 2022
This study presents findings from a survey of 2298 university students from three countries (South Korea, Turkey, United States) focused on their use of and beliefs about webcams to support synchronous learning, including behaviors such as turning cameras on and multitasking. Additionally, it explores differences due to national culture, school…
Descriptors: Video Technology, Student Behavior, Student Attitudes, Norms
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Meva Bayrak Karsli; Selcuk Karaman – Education and Information Technologies, 2024
It is aimed to examine the interaction experiences of distance education students in e-learning environments where content-integrated social interaction opportunities are offered, and in line with this purpose, the factors affecting students' level of interaction, appreciation, and participation in interactions were examined. The study group of…
Descriptors: Distance Education, Student Experience, Social Behavior, Interaction
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Nurlaela Nurlaela; Amiruddin Amiruddin; Andi Muhammad Irfan; Wirawan Setialaksana – Information and Learning Sciences, 2024
Purpose: Student in-class participation is a crucial aspect in the learning process, including in synchronous learning process. Several variables may hinder students from actively participating in synchronous learning including communication anxiety. As behavior, student in-class participation can be modeled using theory of planned behavior (TPB)…
Descriptors: Foreign Countries, College Students, Communication (Thought Transfer), Anxiety
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