Cover Image

Intelligent tutoring systems by Bayesian nets with noisy gates

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Antonucci, Alessandro, Mangili, Francesca, Bonesana, Claudio, Adorni, Giorgia
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach
by: Mangili, Francesca, et al.
Published: (2022)

Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment
by: Adorni, Giorgia, et al.
Published: (2024)

Towards an intelligent assessment system for evaluating the development of algorithmic thinking skills: An exploratory study in Swiss compulsory schools
by: Adorni, Giorgia
Published: (2025)

Designing the virtual CAT: A digital tool for algorithmic thinking assessment in compulsory education
by: Adorni, Giorgia, et al.
Published: (2024)

A Note on Bayesian Networks with Latent Root Variables
by: Zaffalon, Marco, et al.
Published: (2024)

Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework
by: Bonesana, Claudio, et al.
Published: (2024)

Cyber Humanism in Education: Reclaiming Agency through AI and Learning Sciences
by: Adorni, Giovanni
Published: (2025)

Speeding up design and making to reduce time-to-project and time-to-market: an AI-Enhanced approach in engineering education
by: Adorni, Giovanni, et al.
Published: (2025)

On the Correlation between Individual Fairness and Predictive Accuracy in Probabilistic Models
by: Antonucci, Alessandro, et al.
Published: (2025)

Causal Understanding by LLMs: The Role of Uncertainty
by: Lithgow-Serrano, Oscar, et al.
Published: (2025)

Automatic Causal Fairness Analysis with LLM-Generated Reporting
by: Berarducci, Alessia, et al.
Published: (2026)

Towards a Manifesto for Cyber Humanities: Paradigms, Ethics, and Prospects
by: Adorni, Giovanni, et al.
Published: (2025)

Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning
by: Selmonaj, Ardian, et al.
Published: (2025)

The promise and limits of LLMs in constructing proofs and hints for logic problems in intelligent tutoring systems
by: Tithi, Sutapa Dey, et al.
Published: (2025)

Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
by: Adorni, Pierre, et al.
Published: (2025)

Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics
by: Selmonaj, Ardian, et al.
Published: (2025)

Discovering the curriculum with AI: A proof-of-concept demonstration with an intelligent tutoring system for teaching project selection
by: Heindrich, Lovis, et al.
Published: (2024)

FADE-CTP: A Framework for the Analysis and Design of Educational Computational Thinking Problems
by: Adorni, Giorgia, et al.
Published: (2024)

LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation
by: Bolognesi, Giorgia, et al.
Published: (2026)

Towards Human Engagement with Realistic AI Combat Pilots
by: Selmonaj, Ardian, et al.
Published: (2025)

Coordinated Strategies in Realistic Air Combat by Hierarchical Multi-Agent Reinforcement Learning
by: Selmonaj, Ardian, et al.
Published: (2025)

Enhancing tutoring systems by leveraging tailored promptings and domain knowledge with Large Language Models
by: Balavar, Mohsen, et al.
Published: (2025)

An intelligent tutor for planning in large partially observable environments
by: Heindrich, Lovis, et al.
Published: (2023)

The CTSkills App -- Measuring Problem Decomposition Skills of Students in Computational Thinking
by: Assaf, Dorit, et al.
Published: (2024)

Digital Democracy in the Age of Artificial Intelligence
by: Novelli, Claudio, et al.
Published: (2024)

Generative Artificial Intelligence for Internet of Things Computing: A Systematic Survey
by: Mangione, Fabrizio, et al.
Published: (2025)

Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning
by: Selmonaj, Ardian, et al.
Published: (2025)

Depression Risk Assessment in Social Media via Large Language Models
by: Gulino, Giorgia, et al.
Published: (2026)

A review on the use of large language models as virtual tutors
by: García-Méndez, Silvia, et al.
Published: (2024)

Modularity is the Bedrock of Natural and Artificial Intelligence
by: Salatiello, Alessandro
Published: (2026)

Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
by: Lakkaraju, Kausik, et al.
Published: (2024)

Evolutionary Reinforcement Learning based AI tutor for Socratic Interdisciplinary Instruction
by: Jiang, Mei, et al.
Published: (2025)

Efficient RL for optimizing conversation level outcomes with an LLM-based tutor
by: Nam, Hyunji, et al.
Published: (2025)

Mistake gating leads to energy and memory efficient continual learning
by: Pache, Aaron, et al.
Published: (2026)

Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception
by: Wang, Yueyang, et al.
Published: (2024)

Algorithmic Collective Action with Multiple Collectives
by: Battiloro, Claudio, et al.
Published: (2025)

Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
by: Sanyal, Amartya, et al.
Published: (2024)

Argumentation for Explainable Workforce Optimisation (with Appendix)
by: Leigh, Jennifer, et al.
Published: (2025)

Artificial Intelligence: Arguments for Catastrophic Risk
by: Bales, Adam, et al.
Published: (2024)

Discerning minds or generic tutors? Evaluating instructional guidance capabilities in Socratic LLMs
by: Liu, Ying, et al.
Published: (2025)