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Zhicheng Dai; Ling Wang; Xian Peng; Liang Zhao; Junxia Xiong – Journal of Computer Assisted Learning, 2024
Background: Smart classroom environment has drawn worldwide attention, however, there is still a lack of studies that can explore and analyse potential factors, which affect students' satisfaction with smart classrooms in higher education. Objectives: To assess students' satisfaction with smart classrooms in higher education, this study proposed…
Descriptors: Student Satisfaction, Classroom Environment, College Students, Educational Technology
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Jian Dai; Xing Zhang; Chengliang Wang – Education and Information Technologies, 2024
The extant research on the factors influencing online education platform learners' continuance intention has yielded inconsistent results, which necessitates a thorough review and reanalysis of relevant literature. Therefore, this study combines different theoretical models and conducts a meta-analysis on 219 articles obtained from Web of Science,…
Descriptors: Educational Technology, Technology Uses in Education, Intention, Online Courses
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Chan, Cecilia Ka Yuk; Zhou, Wenxin – Smart Learning Environments, 2023
This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating in the study, their knowledge, perceived value, and perceived cost of using the technology were measured by an Expectancy-Value Theory (EVT)…
Descriptors: Student Attitudes, College Students, Artificial Intelligence, Technology Uses in Education
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Xie, Yongxiang; He, Jun – Psychology in the Schools, 2023
The existing literature mainly examines the impact of academic self-efficacy on academic achievement in educational psychology. Much less is known about the relationship between outcome expectations and adolescent academic achievement. This article applies the random intercept model to investigate the association between Chinese adolescent…
Descriptors: Foreign Countries, Adolescents, Academic Achievement, Student Attitudes
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Wang, Faming; King, Ronnel B.; Chai, Ching Sing; Zhou, Ying – International Journal of Educational Technology in Higher Education, 2023
Despite the importance of artificial intelligence (AI) for university students to thrive in the future workplace, few studies have been conducted to assess and foster their intentions to learn AI. Guided by the situated expectancy-value theory, this study adopted both variable- and person-centered approaches to explore the role of supportive…
Descriptors: Artificial Intelligence, College Students, Intention, Student Attitudes
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Shao-Rui Xu; Shao-Na Zhou – Journal of Baltic Science Education, 2024
Learning experiences are widely recognized as crucial in developing students' attitudes towards science, technology, engineering and mathematics. Vocationally-oriented polytechnics and universities provide distinct learning experiences that may significantly influence students' STEM self-efficacy, expectancy-value and career interest. The study…
Descriptors: STEM Education, Student Attitudes, Student Experience, Technical Institutes
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Edumadze, John Kwame Eduafo; Barfi, Kwaku Anhwere; Arkorful, Valentina; Baffour Jnr, Nyinaku Odoi – Interactive Learning Environments, 2023
This study examined technological infrastructure deplored by students during lockdown amidst COVID-19 pandemic. This study explored the behavioural intention to use video conferencing tools for learning from the perspective of university students. The study adopted the unified theory of acceptance and use of technology (UTAUT) concept. The data is…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Videoconferencing
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Olga V. Sergeeva; Marina R. Zheltukhina; Tatyana Shoustikova; Leysan R. Tukhvatullina; Denis A. Dobrokhotov – Contemporary Educational Technology, 2025
Generative artificial intelligence (GAI) technologies are gaining traction in higher education, offering potential benefits such as personalized learning support and enhanced productivity. However, successful integration requires understanding the factors influencing students' adoption of these emerging tools. This study investigates the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
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Anna Flavia Di Natale; Sabrina Bartolotta; Andrea Gaggioli; Giuseppe Riva; Daniela Villani – Education and Information Technologies, 2024
Immersive virtual reality (IVR) and Metaverse applications are gaining attention in the educational field, showing potentials in transforming traditional learning methods by supporting active and experiential forms of learning. Our study, conducted within the context of an Italian university course, employs the Extended Expectation-Confirmation…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, College Students
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Hong, Wonjoon; Bernacki, Matthew L. – Journal of Educational Psychology, 2022
Undergraduates often report problematic perceptions of low value and high cost in their initial science courses. These beliefs often predict poor performance and retention, and also strengthen over time. Few studies have examined how profiles of value and cost beliefs emerge, and fewer track students' transitions across profiles over a course and…
Descriptors: Value Judgment, Academic Achievement, Academic Persistence, Undergraduate Students
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Xin Tang; Zhiqiang Yuan; Shaojun Qu – Journal of Computer Assisted Learning, 2025
Background: Generative artificial intelligence (AI) represents a significant technological leap, with platforms like OpenAI's ChatGPT and Baidu's Ernie Bot at the forefront of innovation. This technology has seen widespread adoption across various sectors of society and is anticipated to revolutionise the educational landscape, especially in the…
Descriptors: Influences, College Students, Student Behavior, Intention
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Erickson, Joy Dangora – Reading & Writing Quarterly, 2023
Although it is widely accepted that reading motivation erodes over the elementary years and school experiences shape motivation, few have examined young readers' motivation for their reading intervention programs. This two-year qualitative case study probed the motivation-related perceptions of four young children specific to their involvement in…
Descriptors: Reading Motivation, Reading Programs, Program Effectiveness, Kindergarten
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Tewari, Alok; Singh, Ram; Mathur, Smriti; Pande, Sushil – International Journal of Information and Learning Technology, 2023
Purpose: The current study employs a modified framework of the unified theory of acceptance and use of technology (UTAUT) to predict students' intention to adopt online learning in India. The moderating role of openness to change in influencing the proposed relationships is also assessed. Design/methodology/approach: A structured questionnaire was…
Descriptors: Intention, Educational Technology, Online Courses, Student Attitudes
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Romero-Rodríguez, José-María; Ramírez-Montoya, María-Soledad; Buenestado-Fernández, Mariana; Lara-Lara, Fernando – Journal of New Approaches in Educational Research, 2023
Artificial intelligence (AI) and AI-based chatbots, such as ChatGPT, are transforming the approach to education. In particular, ChatGPT's potential to process large amounts of data and learn from user interactions makes it a beneficial resource for students, albeit with some reluctance from some teachers. This study aimed to explore the acceptance…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Gender Differences
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Simmons, McKenna; Clark, Sarah K.; Feinauer, Erika; Richardson, Michael – Reading Psychology, 2022
The purpose of this explanatory mixed methods study was to understand how 9th grade honors and general education language arts students made course enrollment decisions through the lens of the Expectancy-Value (E-V) theory. A survey was administered to 9th grade students (N = 118) attending a public high school with the overall mean score…
Descriptors: Reading Motivation, Grade 9, Expectation, Value Judgment
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