TY - GEN
T1 - AI Chatbots for Sustainability in Education
T2 - 21st European, Mediterranean, and Middle Eastern Conference on Information Systems, EMCIS 2024
AU - Kazoun, Nahil
AU - Kokkinaki, Angelika
AU - Chedrawi, Charbel
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Sustainability became imperative in education, where the United Nations proposed several goals towards sustainability in education and beyond. Transformative change in education is required to overcome the challenges due to the global changes and crises. This transformative trajectory creates opportunities for innovation to fulfil sustainability goals. In this context, AI agents emerge as a significant tool. However, a gap exists in understanding the impact of AI agents’ usage for sustainability in education. The aim of this paper is to solicit Higher Education Institutions’ stakeholders’ behavioral intention towards the use of AI agents at the Lebanese universities. Our research identified several factors affecting behavioral intention including concerns about security and privacy issues, (mis)trust in technology, individualized education, perception of equality and fairness, fear of technological advancements, collaborative learning, and learning motivation. We conclude our study by proposing an extension of the UTAUT model, along with implications, limitations, and future research.
AB - Sustainability became imperative in education, where the United Nations proposed several goals towards sustainability in education and beyond. Transformative change in education is required to overcome the challenges due to the global changes and crises. This transformative trajectory creates opportunities for innovation to fulfil sustainability goals. In this context, AI agents emerge as a significant tool. However, a gap exists in understanding the impact of AI agents’ usage for sustainability in education. The aim of this paper is to solicit Higher Education Institutions’ stakeholders’ behavioral intention towards the use of AI agents at the Lebanese universities. Our research identified several factors affecting behavioral intention including concerns about security and privacy issues, (mis)trust in technology, individualized education, perception of equality and fairness, fear of technological advancements, collaborative learning, and learning motivation. We conclude our study by proposing an extension of the UTAUT model, along with implications, limitations, and future research.
KW - AI chatbots
KW - Higher Education Sector
KW - McDonaldization
KW - Quality Assurance
KW - Sustainability
KW - Sustainable Education
KW - UTAUT
UR - http://www.scopus.com/inward/record.url?scp=105000442403&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-81322-1_2
DO - 10.1007/978-3-031-81322-1_2
M3 - Conference contribution
AN - SCOPUS:105000442403
SN - 9783031813214
T3 - Lecture Notes in Business Information Processing
SP - 19
EP - 32
BT - Information Systems - 21st European, Mediterranean, and Middle Eastern Conference, EMCIS 2024, Proceedings
A2 - Themistocleous, Marinos
A2 - Bakas, Nikolaos
A2 - Kokosalakis, George
A2 - Papadaki, Maria
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 2 September 2024 through 3 September 2024
ER -