7 citations · 15 across the 7 of their papers we have counts for
7 papers
Earthquaker-AI: A Retrieval-Augmented Generation Framework with Rubric-Based Assessment for Primary School Earthquake Education
Xanthi Kokkinou, Chaido Mizeli, Nafsika Koulaxidou +2
This paper presents Earthquaker-AI, a hybrid educational framework building upon a previously implemented educational robotics project by integrating a conversational AI assistant…
Beyond the Chatbot: Co-Learning and Co-Teaching through a Dual-Persona Generative-AI Assistant
Chaido Mizeli, Marina Delianidi, Konstantinos Diamantaras
In this paper we present a generative AI application developed to support both teachers and students in secondary education. The system employs two Large Language Models-LLMs, Gemi…
From Textbook to Talkbot: A Case Study of a Greek-Language RAG-Based Chatbot in Higher Education
Maria Eleni Koutsiaki, Marina Delianidi, Chaido Mizeli +3
The integration of AI chatbots into educational settings has opened new pathways for transforming teaching and learning, offering enhanced support to both educators and learners. T…
Enhancing Job Matching: Occupation, Skill and Qualification Linking with the ESCO and EQF taxonomies
Stylianos Saroglou, Konstantinos Diamantaras, Francesco Preta +3
This study investigates the potential of language models to improve the classification of labor market information by linking job vacancy texts to two major European frameworks: th…
DK-PRACTICE: An Intelligent Educational Platform for Personalized Learning Content Recommendations Based on Students Knowledge State
Marina Delianidi, Konstantinos Diamantaras, Ioannis Moras +1
This study introduces DK-PRACTICE (Dynamic Knowledge Prediction and Educational Content Recommendation System), an intelligent online platform that leverages machine learning to pr…
A Graph-based Method for Session-based Recommendations
Marina Delianidi, Michail Salampasis, Konstantinos Diamantaras +3
We present a graph-based approach for the data management tasks and the efficient operation of a system for session-based next-item recommendations. The proposed method can collect…
Student Performance Prediction Using Dynamic Neural Models
Marina Delianidi, Konstantinos Diamantaras, George Chrysogonidis +1
We address the problem of predicting the correctness of the student's response on the next exam question based on their previous interactions in the course of their learning and ev…