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20212026
most citedUnderstanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines

9 citations · 33 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.HC2026

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…

cs.HC2025★ 9 cited

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…

cs.HC2024

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…

cs.HC2023★ 8 cited

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,…

cs.HC2023★ 7 cited

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…