Artificial Intelligence Driven Curriculum Development: Challenges and Modalities

Abstract

Generative Artificial Intelligence (GenAI) has the potential to transform the engineering education industry, offering new opportunities for innovation, automation and personalization in content generation. Engineering colleges function through various committees comprising teaching and non-teaching staff with definite roles and responsibilities in documentation. Traditionally, these committees manually execute multiple types of documentation by capturing the facts and figures of different facets of the college and referring to statutory bodies and other universities and colleges for relevant content. The curriculum design and development by the academic committee involves documentation of curriculum components. Automating the documentation using sophisticated GenAI is indeed more feasible and powerful than ever before and offers several benefits to the end users. In this paper, we are scoping the extent of possible integration of GenAI for the automation of curriculum development for programs in engineering colleges and its implementation modalities. It also explores the implications of integrating generative AI into the curriculum syllabus development process, addressing key considerations, challenges, and strategies for effective implementation. Leveraging GenAI, the content-based recommendations offer ample content and insights that aid the college committees tasked with formulating the documentation content. This type of automation in the education domain has several benefits in saving lot of manual work perusing documents for the required information.

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