"Human vs Machine: Who Builds Better Predictors?"

Research Portfolio - AI Education

Understanding AI Decisions in Educational Context

Exploring the intersection of AutoML, student trust, and learning processes

Research Question

forumng__change_quantiles__f_agg_"var"__isabs_False__qh_0.6__ql_0.2
🆚
Score_higher_than_mean
Would you give it a try to interpret the first one? 🔍
No? I probably wouldn't either...
Yes? then, do you trust the decision made by the machine that used those variables?
We want to see if students find these understandable/trustworthy in their learning process, ultimately promoting student success in ML-driven learning process.

Research Publications

IEEE SMC 2024

A comprehensive study on AutoML variable interpretation in educational contexts

Published and Presented

CSCW 2025

Student trust development in AI-driven learning environments

Under Review
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Exploring the Influence of Self-Avatar Similarity on Human-Robot Trust

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Can Agent Say Sorry Save Your Trust?