3 citations · 5 across the 20 of their papers we have counts for
20 papers
Programming Language Policy as an AI Literacy Equity Problem: A 15-Nation Comparative Analysis
Adrian-Marius Dumitran, Iulia-Maria Popescu
The promise of AI literacy ``for all'' confronts a structural challenge embedded in how nations organise secondary computer science education. In most systems, a general-track subj…
The Paternalistic Filter: Epistemic Injustice and Differential Refusal in LLM-Mediated History Education for Marginalized Romanian Students
Alexis Popovici, Andrei Ionascu, Adrian-Marius Dumitran
As Large Language Models (LLMs) are increasingly deployed as conversational tutors, they risk institutionalizing systemic inequalities. This study presents a systematic API audit o…
Automated Textbook Auditing with Multi-Agent LLM Systems
Ciprian Cristescu, Adrian-Marius Dumitran, Angela-Liliana Dumitran +1
Ensuring the quality of educational materials requires more than standard proofreading: textbooks must be audited for factual accuracy, domain-specific technical correctness, and l…
A Two-Validator Web Interface for Structured Geometry Figure Annotation
Sabin-Codrut Badea, Adrian-Marius Dumitran
Annotating geometric figures from scanned documents has long been addressed by adapting generic annotation tools, tools not originally designed for such tasks, to use cases where t…
Block-Based Pathfinding: A Minecraft System for Visualizing Graph Algorithms
Luca-Stefan Pirvu, Bogdan-Alexandru Maciuca, Andrei-Ciprian Rabu +1
Graph theory is a cornerstone of Computer Science education, yet entry-level students often struggle to map abstract node-edge relationships to practical applications. This paper p…
MuTSE: A Human-in-the-Loop Multi-use Text Simplification Evaluator
Rares-Alexandru Roscan, Gabriel Petre1, Adrian-Marius Dumitran +1
As Large Language Models (LLMs) become increasingly prevalent in text simplification, systematically evaluating their outputs across diverse prompting strategies and architectures…
An Agentic Evaluation Architecture for Historical Bias Detection in Educational Textbooks
Gabriel Stefan, Adrian-Marius Dumitran
History textbooks often contain implicit biases, nationalist framing, and selective omissions that are difficult to audit at scale. We propose an agentic evaluation architecture co…
RoMathExam: A Longitudinal Dataset of Romanian Math Exams (1895-2025) with a Seven-Decade Core (1957-2025)
Luca-Ncolae Cuclea, Sabin-Codrut Badea, Adrian-Marius Dumitran
AI in Education research increasingly relies on authentic, curriculum-grounded assessment data, yet large, well-structured exam corpora remain scarce for many languages and educati…
RoBiologyDataChoiceQA: A Romanian Dataset for improving Biology understanding of Large Language Models
Dragos-Dumitru Ghinea, Adela-Nicoleta Corbeanu, Adrian-Marius Dumitran
In recent years, large language models (LLMs) have demonstrated significant potential across various natural language processing (NLP) tasks. However, their performance in domain-s…
A Cross-Lingual Analysis of Bias in Large Language Models Using Romanian History
Matei-Iulian Cocu, Răzvan-Cosmin Cristia, Adrian Marius Dumitran
In this case study, we select a set of controversial Romanian historical questions and ask multiple Large Language Models to answer them across languages and contexts, in order to…
Do LLMs Understand Romanian Driving Laws? A Study on Multimodal and Fine-Tuned Question Answering
Eduard Barbu, Adrian Marius Dumitran
Ensuring that both new and experienced drivers master current traffic rules is critical to road safety. This paper evaluates Large Language Models (LLMs) on Romanian driving-law QA…
Parallel Algorithms for the One Sided Crossing Minimization Problem
Bogdan-Ioan Popa, Adrian-Marius Dumitran, Livia Magureanu
The One Sided Crossing Minimization (OSCM) problem is an optimization problem in graph drawing that aims to minimize the number of edge crossings in bipartite graph layouts. It has…
GRILE: A Benchmark for Grammar Reasoning and Explanation in Romanian LLMs
Adrian-Marius Dumitran, Alexandra-Mihaela Danila, Angela-Liliana Dumitran
LLMs (Large language models) have revolutionized NLP (Natural Language Processing), yet their pedagogical value for low-resource languages remains unclear. We present GRILE (Gramma…
MateInfoUB: A Real-World Benchmark for Testing LLMs in Competitive, Multilingual, and Multimodal Educational Tasks
Adrian Marius Dumitran, Theodor-Pierre Moroianu, Mihnea-Vicentiu Buca
The rapid advancement of Large Language Models (LLMs) has transformed various domains, particularly computer science (CS) education. These models exhibit remarkable capabilities in…
A Culturally-Rich Romanian NLP Dataset from "Who Wants to Be a Millionaire?" Videos
Alexandru-Gabriel Ganea, Antonia-Adelina Popovici, Adrian-Marius Dumitran
Large Language Models (LLMs) demonstrate varying performance across languages and cultural contexts. This study introduces a novel, culturally-rich, multilingual dataset derived fr…
Leveraging Generative AI for Enhancing Automated Assessment in Programming Education Contests
Stefan Dascalescu, Adrian Marius Dumitran, Mihai Alexandru Vasiluta
Competitive programming contests play a crucial role in cultivating computational thinking and algorithmic skills among learners. However, generating comprehensive test cases to ef…
From Struggle (06-2024) to Mastery (02-2025) LLMs Conquer Advanced Algorithm Exams and Pave the Way for Editorial Generation
Adrian Marius Dumitran, Theodor-Pierre Moroianu, Vasile Paul Alexe
This paper presents a comprehensive evaluation of the performance of state-of-the-art Large Language Models (LLMs) on challenging university-level algorithms exams. By testing mult…
BacPrep: Lessons from Deploying an LLM-Based Bacalaureat Assessment Platform
Adrian-Marius Dumitran, Radu Dita, Angela Liliana Dumitran
Accessing quality preparation and feedback for the Romanian Bacalaureat exam is challenging, particularly for students in remote or underserved areas. This paper presents BacPrep,…
Exploring Large Language Models for Translating Romanian Computational Problems into English
Adrian Marius Dumitran, Adrian-Catalin Badea, Stefan-Gabriel Muscalu +3
Recent studies have suggested that large language models (LLMs) underperform on mathematical and computer science tasks when these problems are translated from Romanian into Englis…
Evaluating the Performance of Large Language Models in Competitive Programming: A Multi-Year, Multi-Grade Analysis
Adrian Marius Dumitran, Adrian Catalin Badea, Stefan-Gabriel Muscalu
This study explores the performance of large language models (LLMs) in solving competitive programming problems from the Romanian Informatics Olympiad at the county level. Romania,…