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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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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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Chenggui Duan – Asian Association of Open Universities Journal, 2024
Purpose: This study aims to examine the factors influencing university students' adoption of open-source software (OSS) within the context of open educational practices (OEP) by applying an extended Unified Theory of Acceptance and Use of Technology (UTAUT 2) model. Design/methodology/approach: The research employs a quantitative approach,…
Descriptors: Open Education, Open Source Technology, Computer Software, Influences
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Beymer, Patrick N.; Flake, Jessica K.; Schmidt, Jennifer A. – Journal of Educational Psychology, 2023
Students' perceptions of cost are important predictors of academic and motivational outcomes. Though cost has been described as the anticipated effort one must put forth on an activity and what an individual sacrifices to complete a task, no known work has examined the extent to which anticipated cost beliefs predict experienced cost or whether…
Descriptors: Predictor Variables, Student Attitudes, Beliefs, Mathematics Achievement
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Yao Wu; Katie Gilligan-Lee; Terry Ng-Knight; Harriet R. Tenenbaum – Journal of Educational Research, 2024
Homework is a multifaceted process that involves a complex interplay of factors. However, the processes underlying homework behavior are not yet fully understood. In Study 1, we tested a model of homework processes by examining the influences and consequences of homework behavior based on 473 Chinese students. In Study 2 with 159 British students,…
Descriptors: Student Attitudes, Parent Attitudes, Teacher Attitudes, Expectation
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Muangmee, Chaiyawit; Kot, Sebastian; Meekaewkunchorn, Nusanee; Kassakorn, Nuttapon; Tiranawatananun, Somyos; Khalid, Bilal – International Journal of Evaluation and Research in Education, 2021
The research purpose was to conduct an empirical investigation into students' use behavior of e-learning tools during the COVID-19 pandemic, a case study of higher educational institutions in Thailand. The study applied the UTAUT2 theoretical model. Primary data was collected using a structured questionnaire from a total of 1,493 students across…
Descriptors: Foreign Countries, COVID-19, Pandemics, Educational Technology
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Samat, Muhammad Faizal; Awang, Nur Amalina; Hussin, Siti Nor Adawiah; Nawi, Farahiyah Akmal Mat – Asian Journal of University Education, 2020
World Health Organization declared the coronavirus disease 2019 (COVID-19) outbreak, caused by severe acute respiratory syndrome coronavirus 2 to be a pandemic on March 12, 2020. In response to that, Malaysia has announced movement control order effective on March 18, 2020, leading to the near-total closures of education centers. University…
Descriptors: Foreign Countries, COVID-19, Pandemics, School Closing
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Hilpert, Jonathan C.; Bernacki, Matthew L.; Cogliano, MeganClaire – Journal of Research on Technology in Education, 2022
The COVID-19 disruption presented considerable challenges for university students, requiring the sudden need for increased engagement in remote learning environments and the ability to cope with academic and familial demands. To examine how students self-regulated their learning during the disruption, we surveyed undergraduates (n = 226) enrolled…
Descriptors: COVID-19, Pandemics, Self Management, Student Motivation
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Moorthy, Krishna; Yee, Tsen Tzu; T'ing, Loh Chun; Kumaran, Vikniswari Vija – Australasian Journal of Educational Technology, 2019
Mobile learning has become a common experience in higher education and in the professional workforce. However, the readiness of accounting students to engage in such learning appears to be weaker than in other disciplines. Therefore, this study set out to identify the factors affecting accounting students' behavioural intention (BI) to accept…
Descriptors: Foreign Countries, Telecommunications, Handheld Devices, Educational Technology
UK Department for Education, 2020
Female students are much less likely than their male counterparts to take A levels in certain STEM (Science, Technology, Engineering and Maths) subjects. This is problematic for gender equality but also limits the country's capacity to address the growing national STEM skills shortage. This research was commissioned to design and test the…
Descriptors: Females, STEM Education, Course Selection (Students), Intervention