New Pub: Revolutionizing Essay Scoring with Hierarchical Rater Models

For a special issue on Natural Language Processing in Psychology we proposed a hierarchical rater model-based approach to address the challenges in automatic es...

Advancing Automated Analysis of Concept Maps at AIED24

The 25th International Conference on Artificial Intelligence in Education (AIED 2024), held from July 8-12 in Recife, Brazil, was a significant event for the Highly Informative Learning Analytics Research Programme. This year marked the first Brazilian-German cooperation in this field, supported by the Alexander Humboldt Foundation, the DIPF in Frankfurt and IPN in Kiel under the ALICE project. Two workshop papers presented at the conference showcased innovative approaches to automatically analyze concept maps, promising to automate the way educators assess and understand the student-created context.

New pub: Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads

In a contribution to the BEA 2024 Shared Task, we addressed the challenge of predicting the difficulty and response time of multiple-choice questions from the U...

New pub: A Human-centric Approach to Explain Evolving Data

A recent study led by Gabriella Casalino at the University "Aldo Moro" of Bari, Italy in collaboration with Daniele Di Mitri highlights the importance of transp...