Generative AI assisted Life-long Learning in Higher Education: A Case Study of Coding Learning for Business Students at Salford Business School

Chen, Yun; Han, Kate; Doolan, Martina A.

Abstract

In today's evolving business landscape, professionals are required to possess a broad skill set, encompassing fundamental business knowledge and digital proficiencies. This heightened demand for diverse technical skills has raised the learning bar for current business students. Concurrently, educators in business schools must excel in multiple disciplines and effectively convey complex ideas to students in an accessible yet valuable manner. In this project, we proposed a Generative AI-assisted lifelong learning approach. Our ongoing research includes two preliminary case studies that blend Inquiry-Based Learning (IBL) with AI assistance. One case study focuses on undergraduate website development, while the other explores Python in a postgraduate module at Salford Business School. This module targets students seeking to efficiently acquire both business acumen and coding skills. The primary goal is to establish a strong coding foundation while guiding students in developing lifelong learning habits using Generative AI tools.

Citation

Chen, Y., Han, K., & Doolan, M. A. (2024). Generative AI assisted Life-long Learning in Higher Education: A Case Study of Coding Learning for Business Students at Salford Business School. In Leading Global Excellence in Pedagogy: Augmenting Teaching Excellence: Embracing the future of Education with AI and Emerging Technologies

• Online Publication Date: Apr 18, 2024
• Publication Date: Apr 18, 2024
• Deposit Date: Jun 19, 2024
• Series Title: Leading Global Excellence in Pedagogy
• Series Number: 2
• Book Title: Leading Global Excellence in Pedagogy: Augmenting Teaching Excellence: Embracing the future of Education with AI and Emerging Technologies
• Related Public URLs: https://www.amazon.co.uk/Leading-Global-Excellence-Pedagogy-Technologies-ebook/dp/B0D279S8R8