Abstract

Institutional Analytics (IA) dashboards inform decision-making in higher education, yet data limitations, constraints in analytical techniques, and missing contextual information often affect their interpretation. To support more responsible interpretation of IA, we introduce FACTRIA, a framework that organizes potential biasing factors across four areas: the analytics pipeline, institutional context, course-level characteristics, and demographics. We used the FACTRIA framework as input to a generative-AI chatbot designed to prompt users to reflect on these factors while analyzing IA. A qualitative study with stakeholders, drawing on four authentic IA cases, and a transition network analysis showed that the chatbot prompted participants to recognize how overlooked factors influenced their initial interpretation. Findings indicated that combining a structured framework with AI-based guidance can enhance context-aware, responsible interpretation of institutional data.

Keywords

Subject

Publication details

Journal
Not available
Open access
Green open access

Cite this article

APA 7

Marques, F., Ortiz-Beltrán, A., Amarasinghe, I., & Hernández-Leo, D. (2026). Responsible Institutional Analytics: Interpreting Bias with AI Support. https://omanscience.com/en/articles/responsible-institutional-analytics-interpreting-bias-with-ai-support

MLA 9

Marques, Francielle, et al. "Responsible Institutional Analytics: Interpreting Bias with AI Support." https://omanscience.com/en/articles/responsible-institutional-analytics-interpreting-bias-with-ai-support.

Chicago (author–date)

Marques, Francielle, Ariel Ortiz-Beltrán, Ishari Amarasinghe, and Davinia Hernández-Leo. 2026. "Responsible Institutional Analytics: Interpreting Bias with AI Support." https://omanscience.com/en/articles/responsible-institutional-analytics-interpreting-bias-with-ai-support.

Harvard

Marques, F., Ortiz-Beltrán, A., Amarasinghe, I. and Hernández-Leo, D. (2026) 'Responsible Institutional Analytics: Interpreting Bias with AI Support', Available at: https://omanscience.com/en/articles/responsible-institutional-analytics-interpreting-bias-with-ai-support.

Vancouver

Marques F, Ortiz-Beltrán A, Amarasinghe I, Hernández-Leo D. Responsible Institutional Analytics: Interpreting Bias with AI Support. https://omanscience.com/en/articles/responsible-institutional-analytics-interpreting-bias-with-ai-support

IEEE

F. Marques, A. Ortiz-Beltrán, I. Amarasinghe, and D. Hernández-Leo, "Responsible Institutional Analytics: Interpreting Bias with AI Support," https://omanscience.com/en/articles/responsible-institutional-analytics-interpreting-bias-with-ai-support.