Data Insights for Whom? Hybrid Data-Driven Decision-Making in Educational Contexts

Hybrid-D3

Abstract

The project explores how human-AI systems use data science insights in the context of teaching and learning in higher education. We will create and evaluate educational situations where partners of the joint human-AI system have varying access to data insights about the student process of learning. To empirically examine how learners make use of the data insights, we will compare learning outcomes from interactions driven by a data-informed AI tutor with the learning outcomes from interactions driven by a data-informed human learner, within their joint interactions throughout the course.
We will use ARTEMIS, an authentic learning technology adopted in TUM’s programming courses, which enables collection of real-time, process-level student data as well as affords A/B testing. The project hopes to contribute a generic framework of how student decision making with learning data in higher education can be designed for using AI technologies.