Critically Reflecting on the Leverage of Generative AI to Support Heterogeneous Learner Needs in Educational Setings
Generative AI (GenAI) promises great potential to support heterogeneous learner needs in diverse educational settings by enhancing personalization, efciency, and accessibility. However, GenAI’s technical capabilities and limitations infuence its efective application, requiring alignment with the pedagogical demands of learner diversity. In this position paper, we argue that successful integration of GenAI depends on the critical consideration of ethical, equality, and infrastructural factors, as well as ongoing educator training and supportive policies. While GenAI can complement inclusive educational practices, addressing structural challenges such as teacher shortages and unequal access remains essential to ensure that GenAI supports human-centered and equitable learning environments.
Publication Details
- Journal
- Gesellschaft für Informatik (GI)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18420/muc2025-mci-ws14-186
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00