GHEA21 Open Educational Resources

Document Type

Teaching Tool

Publication Date

2025

Abstract

This guide is based on practical experience designing and supervising research-based projects on Artificial Intelligence (AI) in the context of social sciences and humanities education. Teaching about AI in these disciplines often presents specific challenges: the fast-changing nature of the field, the difficulty of connecting abstract concepts to real-world implications, and the need to make technical developments accessible without oversimplifying them. Moreover, traditional forms of assessment, such as essays, are being reshaped by the growing use of generative AI.

In this context, short research-based projects offer an engaging and flexible alternative. They encourage students to take ownership of their learning, apply theoretical knowledge to practical questions, and develop essential skills in ethical reasoning, critical analysis, and communication. These projects do not require full- scale research design or long-term commitment but are instead structured to be manageable within a single semester. They are particularly well-suited for interdisciplinary and exploratory learning environments, where the aim is to build understanding, curiosity, and responsible approaches to AI in society.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Download

Included in

Education Commons

Share

COinS