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Showing 1 to 15 of 71 results Save | Export
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Paula Clasing-Manquian; John Gonzalez – Field Methods, 2025
Web surveys are popular in social sciences for reaching a large audience at a low cost and in a short period. However, response rates and nonresponse bias are still issues of concern. Using a factorial randomized control trial design, this study explores whether different communication emails affect response rates, representativeness, and response…
Descriptors: Online Surveys, Doctoral Students, Intervention, Response Rates (Questionnaires)
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Abdus Saboor; Muhammad Zahid Khan; Muhammad Nawaz Khan; Tariq Hussain; Razaz Waheeb Attar; Mrim M. Alnfiai; Nabil Sharaf Almalki – Education and Information Technologies, 2025
Online learning technologies have turned into an essential part of education, particularly in this cutting-edge era of ICT. These technologies are becoming more and more popular in increasing educational access in impoverished nations. The ongoing investigation looks into the variables impacting students' use of online learning technologies in…
Descriptors: Online Courses, Technology Uses in Education, Educational Technology, College Students
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Chinelo Orji; Carolyn M. Brown; Jamie Barner; Leticia Moczygemba; Daisy Morales-Campos – Journal of American College Health, 2025
Purpose: To determine college students' intentions to be Human Papillomavirus (HPV) vaccinated. Methods: The study was comprised of college students aged 18-45 years. A survey was developed based on the Theory of Planned Behavior (TPB). The significance of the TPB constructs--attitude, subjective norms, and perceived behavioral control--and an…
Descriptors: Immunization Programs, Sexually Transmitted Diseases, Intention, College Students
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Mohammed Nasiru Yakubu; Nakama David; Naima Hafiz Abubakar – Education and Information Technologies, 2025
Generative Artificial Intelligence tools have the potential to impact students learning significantly and positively in several ways. However, the factors responsible for student's behavioural intentions to use these tools are still not fully understood, especially in the context of Nigerian higher education institutions (HEIs). To support…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Intention
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Liangliang Xia; Xin An; Xinyi Li; Yan Dong – Journal of Educational Computing Research, 2026
Student learning agency, encompassing key abilities, essential mental characteristics and active actions, is recognized as a crucial factor for effective teaching and learning in the generative artificial intelligence (AI) era. This study examines the structural relationships among perceptions of generative AI (i.e., effort expectancy, performance…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, College Students
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Lisana Lisana; Edwin Pramana – International Journal on E-Learning, 2025
This study explores the crucial influence of technological and individual-social factors on the willingness of university students to use mobile learning (m-learning). It analyzes the direct, indirect, and overall effects of these factors. Furthermore, it examines how gender and age serve as moderators of the direct impact of each determinant on…
Descriptors: Foreign Countries, College Students, Electronic Learning, Higher Education
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Allie White; Hannah Ball; Sara LaBelle – Journal of American College Health, 2024
Objective: Considering that college students experience mental health issues and college counseling centers are overwhelmed, this study identifies instructors as a potential mental health resource for students. This study utilizes the theory of planned behavior to investigate the relationship between students' attitudes, injunctive and descriptive…
Descriptors: Undergraduate Students, Student Attitudes, Intention, Mental Health
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Yusuf Kalinkara; Oguzhan Özdemir – Anatomical Sciences Education, 2024
The impact of technology on educational domains has been a subject of research for many years. Therefore, understanding how students perceive and utilize technologies for educational purposes is crucial. Especially in a critical subject like anatomy education, it is essential to employ various models to determine students' technology acceptance…
Descriptors: Educational Technology, Technology Uses in Education, Anatomy, College Students
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Sevgi Bayram Özdemir; Sara Cucurachi; Takuya Yanagida; Metin Özdemir – European Journal of Developmental Psychology, 2024
The current study examined whether bystander behaviours in class were associated with being perpetrators of ethnic victimization and whether they moderated the association between disengagement from morality and perpetrating ethnic-based victimization. The sample included 1065 adolescents residing in Sweden (M[subscript age] = 13.12, SD=.42; 55%…
Descriptors: Moral Values, Adolescents, Student Behavior, Victims
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Mbonisi Maku; Ernest Nikisi; Omobayo Ayokunle Esan; Munienge Mbodila; Patrick Bwowe – International Journal of Education and Development using Information and Communication Technology, 2025
The rapid growth in information communication technology (ICT) usage has brought remarkable changes in higher education. Many higher education institutions around the globe are adopting e-learning platforms as one of the primary ways of delivering teaching and learning among students. During the COVID-19 pandemic, South African higher education…
Descriptors: Foreign Countries, Electronic Learning, Disadvantaged Schools, Universities
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Meng Zhang; Yoon Fah Lay – Journal of Pedagogical Research, 2024
The objective of this study was to ascertain the efficacy of music therapy in alleviating anxiety among university students. This is achieved by employing the theory of planned behaviour. A survey comprising 350 participants was disseminated to evaluate their subjective norms, perceived behavioural control, attitudes, intentions to engage, and…
Descriptors: Music Therapy, College Students, Anxiety, Coping
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Arif Hasan; Sandeep Raghuwanshi; Hiren Harsora; Prabhat Kumar; Vivek Gupta; Ardhendu Shekhar Singh – Discover Education, 2025
Purpose: The present research is interested in evaluating the Unified Theory of Acceptance and Use of Technology (UTAUT) model and its extra predictors to examine those factors which determine the millennials and elearning issue. The relationship between behaviour intentions (BI) and further process of adopting elearning is the result on which the…
Descriptors: Electronic Learning, Age Groups, Intention, Technology Uses in Education
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Xuefeng Zhang; Yelin Huang; Mingshuang Chen; Fenglian Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
Online teaching platforms (OTPs) are becoming important mediums for supporting college students in course learning activities. Their intention to use is critical for promoting learning effectiveness, efficiency, and continuous development of OTPs. Drawing upon the technology acceptance model (TAM), this study builds the research model of students'…
Descriptors: College Students, Student Behavior, Intention, Usability
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Priya Saha; Md. Shakhawat Hossain; Nirmal Chandra Roy; Abdullah Al Masud; Ruhul Amin – On the Horizon, 2025
Purpose: This study aims to evaluate students' intention and actual use (AU) of artificial intelligence (AI) tools' to discover how the power of AI influences learning and academic success. Design/methodology/approach: This paper used the unified theory of acceptance and use of technology (UTAUT) to develop a structural equation model (SEM) and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Student Behavior
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Havard, Byron; Podsiad, Megan; Valaitis, Karen – TechTrends: Linking Research and Practice to Improve Learning, 2023
The Peer Assessment Collaboration Evaluation (PACE) Tool is an original peer assessment tool designed and developed by the authors to address the prevalence of social loafing in group projects in online learning environments. Online group projects offer students collaborative opportunities to engage in critical thinking and problem-solving.…
Descriptors: Peer Evaluation, Student Behavior, Computer Assisted Instruction, Cooperative Learning
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