TY - GEN
T1 - Digital Learning Literacy and Educational Technology Adoption Among University Students in the Artificial Intelligence Era
AU - Wong, Tak Ming Billy
AU - Li, Kam Cheong
AU - Lee, Lap Kei
AU - Chan, Venus W.M.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - This study examined the current state of digital learning literacy and educational technology adoption among university students in the era of artificial intelligence (AI). A survey was conducted with 40 students from a university in Hong Kong to explore their use of hardware devices and technologies for learning purposes, as well as their levels of digital learning literacy across various domains. The findings reveal a strong preference for mobile devices, with half of the participants reporting that they do not use desktop computers for learning activities. While traditional learning management systems and video conferencing tools remain the most commonly utilised educational technologies, AI-powered tools have emerged as a significant part of students’ learning routines, with over 90% of the participants using them daily. Students demonstrated higher levels of digital learning literacy in domains of ethics and AI, but lower levels in domains such as hardware, security, software and multimedia. A weak positive correlation was identified between students’ digital learning literacy and educational technology adoption. These findings underscore the need for targeted interventions to enhance students’ digital competencies, and foster a supportive learning environment that equips them to thrive in an AI-driven society.
AB - This study examined the current state of digital learning literacy and educational technology adoption among university students in the era of artificial intelligence (AI). A survey was conducted with 40 students from a university in Hong Kong to explore their use of hardware devices and technologies for learning purposes, as well as their levels of digital learning literacy across various domains. The findings reveal a strong preference for mobile devices, with half of the participants reporting that they do not use desktop computers for learning activities. While traditional learning management systems and video conferencing tools remain the most commonly utilised educational technologies, AI-powered tools have emerged as a significant part of students’ learning routines, with over 90% of the participants using them daily. Students demonstrated higher levels of digital learning literacy in domains of ethics and AI, but lower levels in domains such as hardware, security, software and multimedia. A weak positive correlation was identified between students’ digital learning literacy and educational technology adoption. These findings underscore the need for targeted interventions to enhance students’ digital competencies, and foster a supportive learning environment that equips them to thrive in an AI-driven society.
KW - AI
KW - Hong Kong
KW - artificial intelligence
KW - digital learning literacy
KW - educational technology adoption
KW - higher education
KW - university students
UR - https://www.scopus.com/pages/publications/105023591168
U2 - 10.1007/978-981-95-4499-8_29
DO - 10.1007/978-981-95-4499-8_29
M3 - Conference contribution
AN - SCOPUS:105023591168
SN - 9789819544981
T3 - Communications in Computer and Information Science
SP - 355
EP - 364
BT - Technology in Education. Smart and Innovative Learning - International Conference on Technology in Education, ICTE 2025, Proceedings
A2 - Cheung, Simon K. S.
A2 - Liu, Xiaojun
A2 - Xu, Guoai
A2 - Kwok, Lam-For
T2 - 8th International Conference on Technology in Education, ICTE 2025
Y2 - 10 December 2025 through 12 December 2025
ER -