Artificial Intelligence Models and Tools for Extracting and Classifying Exercises from School Textbooks

Position: Research appointment (pre-doc) Institute: Uni. Bologna
New! Posted on: 13/07/2026 Deadline: 27/07/2026

Scientific-Disciplinary Group

01/INFO-01 - Informatics

Description

The research activity will be organized into phases aimed at developing a system for the automatic extraction and classification of exercises from school textbooks. The first phase will focus on the construction of a multilingual dataset (French, English, and Italian) consisting of school textbooks in PDF format, either native or generated through OCR, together with the corresponding annotated HTML versions based on the project's data model. This will be followed by an analysis of the state of the art in Large Language Models, computer vision, and multimodal approaches, with particular attention to hybrid solutions combining textual, visual, and structural information. Based on these findings, a software architecture will be defined and progressively implemented through iterative prototyping and systematic evaluation, gradually extending the system's ability to recognize, extract, and classify an increasing range of exercise types.

Funding body

ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA

How to apply

Other

Selection process

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