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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
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
Zhiyong Qiu; Yingjin Cui – SAGE Open, 2024
Faced the vast amount of information, choosing the appropriate materials is a prerequisite for effective self-directed learning. The recommendation algorithm is a kind of intelligent technology that can accurately locate the required information which the users care about most. However, many recommendation techniques experience can not be trained…
Descriptors: College Students, Independent Study, Self Control, Library Materials
Wang, Chih-Chiang; Lo, Chia-Lun; Hsu, Ming-Ching; Tsai, Chih-Yung; Tsai, Chun-Ming – SAGE Open, 2020
Mobile devices are becoming ubiquitous methodologies and tools, providing application for learning and teaching field. On the basis of the widespread use of wireless devices and mobile computing technology, this study proposes a context-aware plant ecology learning system (CAPELS) based on context-aware technology; adapting deep neural networks…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Plants (Botany)