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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
Ovidiu Niculae Bordean; Zenovia Cristiana Pop; Nina Rizun; Reinhold Bopp; Tom Estad – SAGE Open, 2025
Entrepreneurial intention (EI) is a predictor of entrepreneurial behavior. In past years, it received significant attention due to the numerous advantages of entrepreneurial activities. The formation of EI within diverse international settings has been studied by researchers; however, the results of these studies are still inconclusive. Building…
Descriptors: Entrepreneurship, Intention, Student Attitudes, College Students
Masek, Alias; Paimin@Abdul Halim, Aini Nazura; Hashim, Suhaizal; Abdullah, Nurhanim Saadah; Wan Muda, Wan Hanim Nadrah – SAGE Open, 2022
This study aims to investigate the influence of students' knowledge, attitude, and behavioral intention on their behaviors during the COVID-19 pandemic. A survey study was designed using an online questionnaire involving 653 respondents from the first to final-year students at a Malaysian university. A CACQ-COV instrument was designed based on the…
Descriptors: Knowledge Level, Psychological Patterns, Intention, Student Behavior
Yipeng Zhao; Yan Li; Yuyao Xiao; Haodong Chang; Bo Liu – SAGE Open, 2024
The swift incorporation of artificial intelligence (AI) into higher education has significantly propelled the digital transformation of education. This advancement is crucial for educators aiming to augment teaching quality through AI technologies, such as ChatGPT. However, the acceptance of ChatGPT among college students remains underexplored.…
Descriptors: Influences, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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