activity
20242026
collaborators

6 papers

cs.AI2026

Neural-Symbolic Knowledge Tracing: Injecting Educational Knowledge into Deep Learning for Responsible Learner Modelling

Danial Hooshyar, Gustav Šír, Yeongwook Yang +6

The growing use of artificial intelligence (AI) in education, particularly large language models (LLMs), has increased interest in intelligent tutoring systems. However, LLMs often…

cs.AI2025

Problems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K--12 Education

Danial Hooshyar, Yeongwook Yang, Gustav Šíř +4

The rapid rise of large language model (LLM)-based tutors in K--12 education has fostered a misconception that generative models can replace traditional learner modelling for adapt…

cs.CY2025

The Right Kind of Help: Evaluating the Effectiveness of Feedback Methods in Elementary-Level Visual Programming

Ahana Ghosh, Liina Malva, Alkis Gotovos +2

We present a large-scale study comparing the effectiveness of various feedback methods in elementary-level programming. While prior work has explored different feedback methods, th…

cs.CY2025

Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room

Danial Hooshyar, Gustav Šír, Yeongwook Yang +5

Despite significant advancements in AI-driven educational systems and ongoing calls for responsible AI for education, several critical issues remain unresolved -- acting as the ele…

cs.AI2025

Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods

Danial Hooshyar, Eve Kikas, Yeongwook Yang +4

Given the demand for responsible and trustworthy AI for education, this study evaluates symbolic, sub-symbolic, and neural-symbolic AI (NSAI) in terms of generalizability and inter…

cs.CY2024

Exploring the Impact of Quizzes Interleaved with Write-Code Tasks in Elementary-Level Visual Programming

Ahana Ghosh, Liina Malva, Alkis Gotovos +2

We explore the role of quizzes in elementary visual programming domains popularly used for K-8 computing education. Prior work has studied various quiz types, such as fill-in-the-g…