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Tommaso Martorella

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Related publications (4)

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Scalable Personalized Education in the Age of GenAI: The Potential and Challenges of the PolyGloT Framework

Tommaso Martorella

PolyGloT, a novel framework for educators and students, is designed to create, curate, and engage in personalized learning paths in digital education. This open, adaptable, and versatile framework facilitates the design and consumption of adaptive learning ...

Springer Nature (Switzerland)2024

Can Generative AI Support Educators? Creating Learning Paths with PolyGloT

Tommaso Martorella

This chapter explores the intersection of generative AI and personalized learning, emphasizing the role of educators and examining the application of large language models (LLMs) in crafting personalized learning paths. The chapter examines the perception ...

Springer Nature (Switzerland)2024

PolyGloT-UML: A Gamified Framework for Enhancing UML Learning Paths

Tommaso Martorella

Modeling is a key activity in conceptual design and system design, making learning and understanding modeling languages like the Unified Modeling Language (UML) crucial. Despite the availability of various interactive and gamified UML learning applications ...

Association for Computing Machinery, Inc2024

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Tommaso Martorella, Elena Grazia Gado, Tanja Christina Käser Jacober, Paola Mejia Domenzain, Vinitra Swamy, Jibril Albachir Frej

Intelligent Tutoring Systems (ITS) enhance personalized learning by predicting student answers to provide immediate and customized instruction. However, recent research has primarily focused on the correctness of the answer rather than the student's perfor ...

2024