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Tai Ming Wut; Elaine Ah-heung Chan; Helen Shun-mun Wong; Jason K. Y. Chan – Education & Training, 2025
Purpose: Artificial intelligence (AI) has been used in the workplace for years. There are compulsory or elective AI courses in some universities for students to enroll in. With the wide adoption of AI in many industries now, employers also expect students to make good use of AI to enhance their work productivity and efficiency. Hence, the purpose…
Descriptors: Artificial Intelligence, Computer Literacy, Employment Potential, College Students
Yulu Cui; Hai Zhang – Education and Information Technologies, 2025
With the development of artificial intelligence technology, it has become increasingly difficult to distinguish between Artificial Intelligence Generated Content (AIGC) and non-AIGC. Inaccuracies in identifying AIGC in higher education may lead to academic misconduct and risks, and the credibility of AIGC is also subject to certain doubts. Users…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Identification
Alfred Marleku; Ridvan Peshkopia; D. Stephen Voss – International Journal of Mathematical Education in Science and Technology, 2025
The global push to reorient social sciences in an increasingly technical direction might have a clear labour-market justification, but the efforts face headwinds from both faculty and students. This research is concerned with the fear that students would resist such a reorientation. Much of the pedagogic social-science research seeks ways to…
Descriptors: Statistical Analysis, Student Attitudes, College Students, Computer Literacy
Cao, Guangming; Shaya, Nessrin; Enyinda, Chris I.; Abukhait, Rawan; Naboush, Eman – Journal of Information Technology Education: Research, 2022
Aim/Purpose: This study, drawing on and extending research on the adoption of information technologies (IT), develops a research model to investigate: (1) the key relative factors that affect the adoption of e-learning versus using IT in traditional classrooms; and (2) students' relative attitudes and relative intentions to use e-learning systems.…
Descriptors: Student Attitudes, Intention, Electronic Learning, COVID-19
Caughman, Alicia M.; Weigel, Emily G. – CBE - Life Sciences Education, 2022
Quantitative and computational skills are required of 21st-century biologists. While biology student abilities and attitudes toward math have been studied extensively, less is known about corresponding attitudes toward computer science (CS). It is important to understand how students perceive math and CS subjects and whether those perceptions are…
Descriptors: Biology, Mathematics Skills, Computer Literacy, Computer Science Education
Alan Peslak; Lisa Kovalchick; Wenli Wang; Paul Kovacs – Information Systems Education Journal, 2023
Are students who prefer online education different from those who prefer on-ground education, and how? This is an important question because educational institutions need to better understand student segmentations. This research examined 251 survey responses from students enrolled in Computer Information Systems courses at three universities over…
Descriptors: Higher Education, Information Systems, Courses, Electronic Learning
Mohd Nasir, Farah Damia; Hussain, Mohd Al Mahdi; Mohamed, Harnani; Mohd Mokhtar, Mohd Amar; Abdul Karim, Noorhuda – Asian Journal of University Education, 2021
This study aims to investigate factors associated with students' satisfaction with using LMS - UNIEC Virtual in blended learning courses in UNITAR International University, Kelana Jaya. Three factors; perceived ease of use (PEOU), facilitating conditions, and interaction are selected as independent variables in this study. This research was…
Descriptors: Student Satisfaction, Integrated Learning Systems, Blended Learning, College Students
Saunders-Wyndham, James; Smith, Eleanor; Past, Travis H. – JALT CALL Journal, 2021
This study aims to measure student cognitive and metacognitive perceptions regarding computer use in university. This study addresses three key questions: (1) how does the model fit the key construct of metacognitive and self-efficacy beliefs; (2) to what degree do independent variables predict dependent factor outcomes; and (3) how can…
Descriptors: Computer Literacy, Metacognition, Self Efficacy, College Students
Huang, Fang; Teo, Timothy; Scherer, Ronny – Interactive Learning Environments, 2022
As a key variable determining technology acceptance and adoption, the perceived ease of technology use (PEU) has been in the focus of a considerable body of research. This research examined the external factors that influence perceived ease of use, such as computer self-efficacy and perceived enjoyment, but yielded inconsistent findings and…
Descriptors: College Students, Internet, Electronic Learning, Usability
Korkmaz, Sedat – Journal of Theoretical Educational Science, 2022
The aim of this study is to investigate the opinions of students enrolled at the School of Foreign Languages concerning their readiness for online learning. Sequential mixed method design was used in this descriptive study. The researcher administered the Online Learning Readiness Scale (OLRS) and conducted interview to collect data. As for data…
Descriptors: College Preparation, Online Courses, Readiness, Student Attitudes
Punjani, Krunal K.; Mahadevan, Kala – Education and Information Technologies, 2022
The COVID-19 pandemic has disrupted existing educational systems worldwide. Due to lockdowns in several countries, the educational institutions have been directed by governments to move towards online learning. The challenge for educational institutions and faculty members is to assess the influence of various factors that would enable adoption of…
Descriptors: Educational Change, Electronic Learning, Higher Education, COVID-19
Liu, Lu – Statistics Education Research Journal, 2021
With the purpose of developing an instrument for measuring statistics anxiety in the online or hybrid setting, this study tested the newly developed instrument in two stages. Results on item selection and exploratory factor analysis based on pilot testing (n = 115) are presented. Results on classical item analysis, the confirmatory factor…
Descriptors: Statistics Education, Mathematics Anxiety, Online Courses, Blended Learning
Sanpanich, Nawaporn – rEFLections, 2021
This study aimed at investigating factors including gender, prior experience of hybrid learning, and computer literacy that affect students' attitudes toward hybrid learning with reference to different learning aspects. The study adopted a survey research methodology using a questionnaire and examined 879 students who had enrolled in hybrid…
Descriptors: Student Attitudes, Blended Learning, Gender Differences, Student Experience
Johnson, Joel B.; Reddy, Pritika; Chand, Ronil; Naiker, Mani – International Journal of Educational Technology in Higher Education, 2021
The rise of online modes of content delivery, termed e-learning, has increased student convenience and provided geographically remote students with more options for tertiary education. However, its efficacy relies upon student access to suitable technology and the internet, and the quality of the online course material. With the COVID-19 outbreak,…
Descriptors: College Students, Pacific Islanders, Student Attitudes, Knowledge Level
Frydenberg, Mark; Lorenz, Birgy – Information Systems Education Journal, 2020
Learning cybersecurity awareness builds on basic information technology concepts and digital literacy skills. In an effort to raise cybersecurity awareness among information technology students, this paper describes a series of three different interactive sessions offered to students of all levels at a business university. The sessions introduced…
Descriptors: Computer Security, Computer Science Education, Computer Literacy, Information Technology

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