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Barringer, Alexandra; Papp, Lauren M. – Journal of American College Health, 2022
Objective: To identify academic factors pertaining to college students, calendar timing, and particular moments that are uniquely associated with elevated likelihood of prescription stimulant misuse (intentions and actual behavior) in daily life. Participants: Participants were 297 freshmen and sophomores at a large public university in the United…
Descriptors: College Students, Health Behavior, Risk, Stimulants
Arkorful, Valentina; Barfi, Kwaku Anhwere; Baffour, Nyinaku Odoi – Cogent Education, 2022
The study examined how the perceived level of students' knowledge on Massive Open Online Courses (MOOCs) influence its use. The study utilizes the use of Innovation Diffusion Theory and Technology Acceptance Model to examine factors that influence students use of MOOCs within the Ghanaian university. The data was analyzed using the Statistical…
Descriptors: Foreign Countries, College Students, MOOCs, Student Behavior
Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
Abdulvahap Sönmez; Nilgün Özdamar – Open Praxis, 2024
The aim of this study is to examine the variables that influence the learners' intention of using online learning platforms and usage behavior continuity to evaluate relationships between variables with a model proposal and to determine the predictive power of the model. Accordingly, a sustained technology acceptance model (STAM) was developed to…
Descriptors: Intention, Electronic Learning, Open Education, Student Behavior
Hui-Tzu Hsu; Chih-Cheng Lin – Journal of Computer Assisted Learning, 2024
Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…
Descriptors: Intention, Vocabulary Development, Handheld Devices, College Students
Hasan, Asif; Habib, Sufyan; Khan, Mohammed Arshad; Hamadneh, Nawaf N. – International Journal of Information and Communication Technology Education, 2023
This study aims to explore the various factors influencing students in adopting e-learning in educational institutions in Saudi Arabia and analyze the relationship between factors of students' adoption of e-learning and student behavior intention. The study also analyzes perceived opportunities and challenges faced by students in adopting an…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, College Students
Ikhsan, Ridho Bramulya; Prabowo, Hartiwi; Yuniart; Simamora, Bachtiar; Ruan, Ximing; Kumar, Vikas – Journal of Educators Online, 2023
A mobile learning management system (mobile LMS) facilitates the interaction between lecturers and students to transfer knowledge flexibly. With the high possibility of universities adopting a mobile LMS into their learning systems, predicting student acceptance of mobile LMS is critical. Based on an extension of the unified theory of acceptance…
Descriptors: Foreign Countries, Electronic Learning, Distance Education, College Students
Tong Li; Chris Kirk; Leticia Oseguera – Journal of College Student Development, 2023
Academic achievement, often measured by GPA, has been extensively studied in the literature of science, technology, engineering, and mathematics (STEM) education, including its impact on student persistence and success in college (Rask, 2010). However, most research has only looked at students' performance at a single point in time, such as their…
Descriptors: STEM Education, Intention, College Students, Longitudinal Studies
Han, Songhee; Hamilton, Xiaofen; Cai, Ying; Shao, Peixia; Liu, Min – Educational Technology Research and Development, 2023
This paper presents our efforts to develop a scale for measuring students' learning experiences with knowledge-based chatbots in massive open online courses (MOOCs) through three studies. In Study 1, we conducted a qualitative synthesis of the current literature and analyzed students' open-ended responses regarding their experiences with a…
Descriptors: Knowledge Level, Artificial Intelligence, Computer Mediated Communication, Measures (Individuals)
Kamarudin, Suzilawati; Shoaib, Haneen Mohammad; Jamjoom, Yussra; Saleem, Muhammad; Mohammadi, Parisa – Interactive Learning Environments, 2023
This study investigates students' behavioural intention towards e-learning practices through the augmented reality app during the COVID-19 pandemic. It extends the literature on the effectiveness of e-learning through the augmented reality app by investigating the students' social, personal, emotional, and cognitive roles in their behavioural…
Descriptors: Foreign Countries, Student Behavior, Intention, Electronic Learning
Shah, Sayed Kifayat; Tang, Zhongjun; Sharif, Sayed Muhammad Fawad; Tanveer, Arifa – Smart Learning Environments, 2021
The social distancing due to the COVID-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation. Many technologies and platforms have rushed to offer their support to users. This article adopts a critical perspective to reflect on the factors that may…
Descriptors: Student Behavior, Intention, Adoption (Ideas), Technology Integration
Zhonggen Yu; Wei Xu; Paisan Sukjairungwattana – Interactive Learning Environments, 2024
With the development of information technologies, many learners opt to stay home receiving various forms of online education such as massive open online courses (MOOC). However, many learners and instructors complain that MOOC-based learning effectiveness has been dampened by many factors. Through a meta-analysis using Stata/MP 14.0, this study…
Descriptors: MOOCs, Outcomes of Education, Influences, Instructional Effectiveness
Sy-Yi Tzeng; Kuang-Chao Yu – Journal of Technology Education, 2024
There are two difficulties associated with many previous evaluations of students' attitudes toward technology. First, most questionnaires focus on social and family environments, neglecting the schooling environment. Second, although some studies have considered the schooling environment, there has been no systematic review of these studies. To…
Descriptors: Student Attitudes, Educational Technology, Technology Uses in Education, Educational Environment
Michelle L. Weber Rawlins; Cailee E. Welch Bacon; Phillip Tomporowski; Jennifer L. Gay; Laura Bierema; Julianne D. Schmidt – Journal of American College Health, 2024
Objective: Determine how a) masculinity, b) optimism bias, and c) perceived pressure from stakeholders predict concussion reporting intentions and behavior. Participants: Collegiate student-athletes (n = 369). Methods: Student-athletes completed surveys of Conformity to Masculine Norms Inventory-46 (nine sections), optimism bias (optimist,…
Descriptors: Masculinity, Psychological Patterns, Stress Variables, Stakeholders
Shen Yan; Liow Guat Eng; Lim Chui Seong – SAGE Open, 2024
Learning motivation is essential to online learning success. This study recognizes two aspects of learners' motivation for E-learning and proposed technology acceptance model as cognitive process and stimulus-organism-response as affective process to explain the undergraduates' continuous intention to use E-learning system based on…
Descriptors: Influences, Intention, Electronic Learning, Educational Technology

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