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Anass Bayaga – Education and Information Technologies, 2025
This study examines the influence of AI-powered and emerging technologies on pedagogical practices in higher education, focusing on their role on behavioural intention (BI) and actual usage among educators and students. The research hypothesises that the relationship between each Unified Theory of Acceptance and Use of Technology (UTAUT)…
Descriptors: Artificial Intelligence, Educational Technology, Teaching Methods, Educational Innovation
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Li Feng; Xiaoqing Shen; Zhaoyuan Xie; Xiaohui Yan – Education and Information Technologies, 2025
Gamification mechanisms have been increasingly integrated into educational environments to enhance learner's engagement and improve the effectiveness of online courses. However, the precise effects of gamification on learner's engagement, including the factors that influence this behavior, remain under-explored. This study addresses this gap by…
Descriptors: Gamification, Electronic Learning, Learner Engagement, Student Motivation
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Mohamad Saifudin Mohamad Saleh; Ali Mehellou; Miao Huang; Rizki Briandana – Journal of Applied Research in Higher Education, 2025
Purpose: The use of social media for sustainable information is important since it has the potential to influence people's intentions and behaviour towards sustainability. As previous studies on social media and sustainable development have primarily focussed on Western viewpoints, this study presents a comprehensive Asian perspective by…
Descriptors: Social Media, Information Dissemination, Sustainability, Foreign Countries
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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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Ching Sing Chai; Ding Yu; Ronnel B. King; Ying Zhou – SAGE Open, 2024
As artificial intelligence (AI) permeates almost all aspects of our lives, university students need to acquire relevant knowledge, skills, and attitudes to adapt to the challenges it poses. This study reports the development and validation of a scale called the Artificial Intelligence Learning Intention Scale (AILIS). AILIS was designed to measure…
Descriptors: Artificial Intelligence, Intention, Measures (Individuals), Development
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Ghadah Al Murshidi; Galina Shulgina; Anastasiia Kapuza; Jamie Costley – Smart Learning Environments, 2024
Generative Artificial Intelligence (GAI) holds promise for enhancing the educational experience by providing personalized feedback and interactive simulations. While its integration into classrooms would improve education, concerns about how students may use AI in the class has prompted research on the perceptions related to the intention to…
Descriptors: Artificial Intelligence, Educational Experience, Feedback (Response), Interaction
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Heriyati, Dina; Sari, Reza Lidia; Ekasari, Wulandari Fitri; Kurnianto, Sigit – Journal of Academic Ethics, 2023
The study employs a sequential explanatory mixed-method design and aims to understand contract cheating behavior by conducting a survey of 1,081 undergraduate students in Indonesia and following up with five respondents to explore those results in more depth. In the first quantitative phase, we collected a variety of information from…
Descriptors: Contracts, Cheating, Student Behavior, Foreign Countries
Song, Irene Min – ProQuest LLC, 2023
The proliferation of entrepreneurship education in higher education institutions has been fueled by the pressure to promote the economy and educate a new workforce who can be agile workers moving between an employee and self-employed (Fayolle & Gailly, 2015; Navi et al., 2017). As a result, entrepreneurship education, which refers to education…
Descriptors: College Students, Entrepreneurship, Intention, Student Behavior
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Huart, Johanne; Leduc, Laurent; Laurent, Nathanaël; Martynow, Natacha; Malengrez, Déborah; Compère, Fabienne; Charbaut, Célia; Verpoorten, Dominique – Mentoring & Tutoring: Partnership in Learning, 2023
While faculty to freshmen mentoring (FFM) has been shown to benefit freshmen, not all of them wish to engage in such a program when entering higher education. This questionnaire survey (N = 551) built on the theory of planned behavior to investigate the determinants of freshmen's intention to engage in a large-scale FFM program called POLLEM.…
Descriptors: College Freshmen, Student Behavior, Intention, Mentors
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Semenova, Tatiana – Technology, Knowledge and Learning, 2022
Some researchers have questioned the use of dropout metrics to assess the quality of MOOCs. The main reason for this doubt is that participants register for online courses with different intentions. Therefore, it is proposed to use a learner-centred approach and to study the learner intention-fulfilment. Researchers studied the effect of…
Descriptors: Intention, Online Courses, Persistence, Student Behavior
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Miftah Arifin; Anas Ma'ruf Annizar; Moh. Khusnuridlo; Abd. Halim Soebahar; Agus Yudiawan – Journal of Education and e-Learning Research, 2025
This study examines a level and model for technology acceptability and use in online learning inside universities. The unified theory of UTAUT is used as an analysis tool. An associative quantitative method is used with a sample of 392 students. Data were collected by distributing questionnaires through a specially designed Google Form. The data…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, 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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Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
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Xinrui Sui; Qicong Lin; Qi Wang; Haipeng Wan – Education and Information Technologies, 2025
This study explores the role of Artificial Intelligence Generated Content (AIGC) in undergraduates' learning and research, and its increasing significance in higher education. Against this backdrop, understanding college students' attitudes, behaviors, and intentions towards AIGC is beneficial for better guiding their learning under the support of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Higher Education
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Yashasvi Walia; Rajnish Kumar Gupta – Cognitive Research: Principles and Implications, 2025
Cognitive conflict and risk-taking behaviors are linked in complex ways. This study examined whether threat sensitivity explains the relationship between conflict monitoring and risk-taking in young adults. A sample of 204 university students (ages 18-25, mean = 20.55, SD = 2.14) completed a computerized Stroop task (cognitive conflict), the RT-18…
Descriptors: Foreign Countries, Young Adults, College Students, Interference (Learning)
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