9 citations · 33 across the 7 of their papers we have counts for
8 papers
Experiential Versus Instructional Approaches for Eliciting Metacognitive Awareness in AI-Assisted Learning: A Short-Term Longitudinal Study
Pau Benazet i Montobbio, Janne Rotter, Davinia Hernández-Leo
With generative AI (GenAI) entering classrooms the question to which teaching approach best supports metacognitive skill acquisition in AI-assisted learning becomes pressing. In th…
Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education
Janne Rotter, Pau Benazet i Montobbio, Davinia Hernández-Leo
In recent years, generative AI (GenAI) in educational settings has become ubiquitous in university students' daily lives, despite its potential to induce over-reliance, metacogniti…
Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines
Cansu Koyuturk, Emily Theophilou, Sabrina Patania +13
Large Language Models (LLMs) have transformed human-computer interaction by enabling natural language-based communication with AI-powered chatbots. These models are designed to be…
Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development
Dimitri Ognibene, Gregor Donabauer, Emily Theophilou +10
The use of large language model (LLM)-powered chatbots, such as ChatGPT, has become popular across various domains, supporting a range of tasks and processes. However, due to the i…
Leveraging User Experience and Learning Analytics for Enhanced Student Well-being
Khadija El Aadmi-Laamech, Patricia Santos, Davinia Hernández-Leo
This study explores the design and preliminary evaluation of the "Well-being Journey" (WB Journey), a digital tool aimed at enhancing student well-being within educational environm…
Learning to Prompt in the Classroom to Understand AI Limits: A pilot study
Emily Theophilou, Cansu Koyuturk, Mona Yavari +10
Artificial intelligence's (AI) progress holds great promise in tackling pressing societal concerns such as health and climate. Large Language Models (LLM) and the derived chatbots,…
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)
Cansu Koyuturk, Mona Yavari, Emily Theophilou +9
Educational chatbots come with a promise of interactive and personalized learning experiences, yet their development has been limited by the restricted free interaction capabilitie…
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations
Marzieh Karimi-Haghighi, Carlos Castillo, Davinia Hernandez-Leo +1
In this work, the problem of predicting dropout risk in undergraduate studies is addressed from a perspective of algorithmic fairness. We develop a machine learning method to predi…