AI-LEAP 2026
AI Learning, Education And Practice 2026

Table of Contents

• Preface
  Summary: There were 14 papers submitted for peer review to this workshop. Out of these, 11 papers were accepted for this volume.

Session 1: AI Literacy, Teacher Training and Educational Frameworks

• Hybrid AI Approaches for Improving 4-part Harmony Learning. Applications to Handwritten Optical Music Recognition
  Elia Pacioni, Francisco Fernández de Vega
• TraspAgente: A Scenario-Based Educational Framework for AI Transparency and Responsible Decision-Making
  Giacomo Balduzzi, Manuel Striani
• Integrating Answer Set Programming and Item Response Theory for Adaptive Assessment in E-Learning
  Fabrizio Marino, Giovanni Melissari, Kristian Reale
• Beyond STEM: An Educational Framework Proposal for AI Literacy in Humanities Higher Education
  Clara Nobile, Alessio Manfredini, Davide Marocco, Francesco Palumbo, Michela Ponticorvo, Alessandro Ciasullo, Onofrio Gigliotta
• The Italian Alliance for AI Literacy: Building National Capacity through a Federated Community-of-Practice Model
  Giovanni Adorni, Emanuele Bellini, Carla Limongelli, Andrea Orlandini, Piero Poccianti, Gianluca Simonetta, Angela Maria Sugliano, Davide Taibi

Session 2: Personalised Learning, Assessment and Feedback

• Ontology-driven Semantic Retrieval for Human-Centred Interdisciplinary Curriculum Design in Secondary Education (short paper)
  Fabio Clarizia, Massimo De Santo, Roberta Gimigliano, Antonio Imperiale, Rocco Loffredo
• Towards Process-Aware Personalised Feedback in Microlearning
  Roberto Nai, Emilio Sulis, Fabiana Vernero, Manuela Vinai, Emanuela Guarcello, Luciano Hidalgo, Jorge Munoz-Gama
• Mind the Gap: An Educator-Oriented Hybrid AI Platform for Iterative Review of Course Material
  Valerio Crocetti, Elia Pacioni, Davide Calvaresi

Session 3: Hybrid, Symbolic and Explainable AI for Education

• Proofs, Not Narratives: A Proof-Theoretic Approach to Explainable AI in Education
  Simone Cuconato
• Open Classroom: A Teacher-in-the-Loop LLM Platform for Personalized Teaching in Open Classes
  Marco Alderighi, Matteo Mongelli, Elisa Pintus, Stefano Tedeschi
• Rubric-Based Assessment of Introductory C Programming with LLM Agents
  Filippo Manca, Alessio Ferrato