Thursday, October 24, 2024

Artificial intelligence in higher education: exploring faculty use, self-efficacy, distinct profiles, and professional development needs - Dana-Kristin Mah, Nele Groß, Springer Professional

There are several benefits for faculty members who apply artificial intelligence (AI) to teaching practices in higher education. AI-based tools for teaching and learning, such as large language models (LLMs) and learning analytics, encompass improved planning and resource allocation, greater insight into student learning, and data-driven feedback on instructional design, which might lead to a more efficient and effective teaching process (Bond et al., 2023; Crompton & Burke, 2023; Zheng et al., 2024). However, the integration of educational and AI-based technologies into teaching and learning is not without its challenges, the main ones being curriculum development, infrastructure, and a lack of ethical consideration and teachers’ technical knowledge (Bond et al., 2023).