9 citations · 12 across the 9 of their papers we have counts for
9 papers
Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models
Dominik Glandorf, Fares Fawzi, Tanja Käser
Learners' use of video controls in educational videos provides implicit signals of cognitive processing and instructional design quality, yet the lack of scalable and explainable p…
REFINE: Real-world Exploration of Interactive Feedback and Student Behaviour
Fares Fawzi, Seyed Parsa Neshaei, Marta Knezevic +2
Formative feedback is central to effective learning, yet providing timely, individualised feedback at scale remains a persistent challenge. While recent work has explored the use o…
Moving Beyond Review: Applying Language Models to Planning and Translation in Reflection
Seyed Parsa Neshaei, Richard Lee Davis, Tanja Käser
Reflective writing is known to support the development of students' metacognitive skills, yet learners often struggle to engage in deep reflection, limiting learning gains. Althoug…
Beyond Holistic Scores: Automatic Trait-Based Quality Scoring of Argumentative Essays
Lucile Favero, Juan Antonio Pérez-Ortiz, Tanja Käser +1
Automated Essay Scoring systems have traditionally focused on holistic scores, limiting their pedagogical usefulness, especially in the case of complex essay genres such as argumen…
AI in Education Beyond Learning Outcomes: Cognition, Agency, Emotion, and Ethics
Lucile Favero, Juan Antonio Pérez-Ortiz, Tanja Käser +1
Artificial intelligence (AI) is rapidly being integrated into educational contexts, promising personalized support and increased efficiency. However, growing evidence suggests that…
Do AI tutors empower or enslave learners? Toward a critical use of AI in education
Lucile Favero, Juan-Antonio Pérez-Ortiz, Tanja Käser +1
The increasing integration of AI tools in education presents both opportunities and challenges, particularly regarding the development of the students' critical thinking skills. Th…
ELLIS Alicante at CQs-Gen 2025: Winning the critical thinking questions shared task: LLM-based question generation and selection
Lucile Favero, Daniel Frases, Juan Antonio Pérez-Ortiz +2
The widespread adoption of chat interfaces based on Large Language Models (LLMs) raises concerns about promoting superficial learning and undermining the development of critical th…
Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment
Lucile Favero, Juan Antonio Pérez-Ortiz, Tanja Käser +1
Argument mining algorithms analyze the argumentative structure of essays, making them a valuable tool for enhancing education by providing targeted feedback on the students' argume…
Enhancing Critical Thinking in Education by means of a Socratic Chatbot
Lucile Favero, Juan Antonio Pérez-Ortiz, Tanja Käser +1
While large language models (LLMs) are increasingly playing a pivotal role in education by providing instantaneous, adaptive responses, their potential to promote critical thinking…