# Paola Mejia-Domenzain

Co-Founder and CTO of Scholé AI. PhD in Computer Science, EPFL ML4ED (advisor Tanja Käser).
Machine learning for education: self-regulated learning, multimodal learning analytics,
interpretable student models, LLMs as tutors and feedback-givers.

ORCID 0000-0003-1242-3134 · https://paola-md.github.io/ · updated 2026-09-15

## Findings

- Students judged identical feedback as less credible, and lower quality, when they were told it came from AI. ([Who Gives Feedback Matters: Student Biases Towards Human and AI-Generated Formative Feedback](https://paola-md.github.io/papers/who-gives-feedback-matters-student-biases-towards-human-and-ai-generated.md))
- Students who could not tell who wrote the feedback rated the AI's higher; those who could tell preferred the human's. ([AI or Human? Evaluating Student Feedback Perceptions in Higher Education](https://paola-md.github.io/papers/ai-or-human-evaluating-student-feedback-perceptions-in-higher-education.md))
- Data-storytelling annotations helped people find data points and grasp the main message, but did not help them complete higher-order analytical tasks. (128 participants, four visualisations.) (["Piecing Data Connections Together Like a Puzzle": Effects of Increasing Task Complexity on the Effectiveness of Data Storytelling Enhanced Visualisations](https://paola-md.github.io/papers/piecing-data-connections-together-like-a-puzzle-effects-of-increasing-ta.md))
- Gender and educational background correlated significantly with how much students trusted AI-powered educational technology. ([The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions](https://paola-md.github.io/papers/the-critical-role-of-trust-in-adopting-ai-powered-educational-technology.md))
- Experienced teachers moved directly from lecturing into student interaction and then into real-time instructional adjustment; less experienced teachers did not. ([Behavioural transitions in team teaching](https://paola-md.github.io/papers/behavioural-transitions-in-team-teaching.md))
- Loudness varied more in the speech of high-experience teachers, in undergraduate classes, and during collaborative tasks. ([AI-Driven Analytics of Team-Teaching Talk: Acoustic Patterns Across Experience, Cohorts and the Learning Design](https://paola-md.github.io/papers/ai-driven-analytics-of-team-teaching-talk-acoustic-patterns-across-exper.md))
- Seeing their own movement and interaction data helped co-teachers become more aware of how they actually teach together. ([TeamTeachingViz: Benefits, Challenges, and Ethical Considerations of Using a Multimodal Analytics Dashboard to Support Team Teaching Reflection](https://paola-md.github.io/papers/teamteachingviz-benefits-challenges-and-ethical-considerations-of-using-.md))
- What teachers want from a learning-analytics dashboard differs considerably between blended and online contexts: preferences, requirements and concerns all shift. ([Making machine learning findings accessible to teachers in blended classrooms](https://paola-md.github.io/papers/making-machine-learning-findings-accessible-to-teachers-in-blended-class.md))
- Retrieving a worked example matched to the learner's own draft improved both writing performance and experience, drawing on a database of over 180,000 recipes. ([Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes](https://paola-md.github.io/papers/enhancing-procedural-writing-through-personalized-example-retrieval-a-ca.md))
- Four learner profiles emerged, and combining inquiry strategies supported conceptual learning better than using any one alone. ([Teaching and Measuring Multidimensional Inquiry Skills using Interactive Simulations](https://paola-md.github.io/papers/teaching-and-measuring-multidimensional-inquiry-skills-using-interactive.md))
- What students say about their own self-regulated learning and what their trace data shows agree only weakly. ([Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities](https://paola-md.github.io/papers/navigating-self-regulated-learning-dimensions-exploring-interactions-acr.md))
- Showing teachers machine-learned learner profiles prompted concrete interventions and course changes, not just interest. ([Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers](https://paola-md.github.io/papers/visualizing-self-regulated-learner-profiles-in-dashboards-design-insight.md))
- Adaptive writing support measurably increased revision; learners improved over time, and women revised more efficiently. ([Understanding Revision Behavior in Adaptive Writing Support Systems for Education](https://paola-md.github.io/papers/understanding-revision-behavior-in-adaptive-writing-support-systems-for-.md))
- Multi-dimensional profiles held up across three different flipped-classroom courses, and the profiles differed significantly in academic performance. ([Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms](https://paola-md.github.io/papers/identifying-and-comparing-multi-dimensional-student-profiles-across-flip.md))
- Across 183 chef apprentices and more than 121,000 learning-journal entries, the method tracked how learning patterns changed over time and produced interpretable profiles. ([Evolutionary Clustering of Apprentices' Self-Regulated Learning Behavior in Learning Journals](https://paola-md.github.io/papers/evolutionary-clustering-of-apprentices-self-regulated-learning-behavior-.md))

## Publications

- **AI-Driven Analytics of Team-Teaching Talk: Acoustic Patterns Across Experience, Cohorts and the Learning Design**, Yuchen Liu, Roberto Martínez-Maldonado, Riordan Alfredo, Paola Mejia-Domenzain, et al.. Lecture Notes in Computer Science 2026. DOI 10.1007/978-3-032-29763-1_1. [Details](https://paola-md.github.io/papers/ai-driven-analytics-of-team-teaching-talk-acoustic-patterns-across-exper.md)
- **Turning 500+ Students into Teachers: A Semester-Long Study of an AI Teachable Agent in an Undergraduate Algorithms Course**, Chenyang Wang, Christopher Petrie, Miltiadis Stouras, Nicolas Ettlin, et al.. ACM Conference on Learning @ Scale (L@S '26) 2026. DOI 10.1145/3774398.3811623. [Details](https://paola-md.github.io/papers/turning-500-students-into-teachers-a-semester-long-study-of-an-ai-teacha.md)
- **Scenario-Based Learning Through and with AI: Evidence-Informed Simulations for Education Leaders**, Ella Hamonic, Candy Lugaz, Annina Demirag, Rémi Sharrock, et al.. Communications in Computer and Information Science 2026. DOI 10.1007/978-3-032-29794-5_24. [Details](https://paola-md.github.io/papers/scenario-based-learning-through-and-with-ai-evidence-informed-simulation.md)
- **Making machine learning findings accessible to teachers in blended classrooms**, Paola Mejia-Domenzain, Seyed Parsa Neshaei, Eva Laini, Tanya Nazaretsky, et al.. International Journal of Artificial Intelligence in Education 2026. DOI 10.1016/j.ijaied.2026.100001. [Details](https://paola-md.github.io/papers/making-machine-learning-findings-accessible-to-teachers-in-blended-class.md)
- **The critical role of trust in adopting AI-powered educational technology for learning: An instrument for measuring student perceptions**, Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, et al.. Computers and Education: Artificial Intelligence 2025. DOI 10.1016/j.caeai.2025.100368. [Details](https://paola-md.github.io/papers/the-critical-role-of-trust-in-adopting-ai-powered-educational-technology.md)
- **Metacognition meets AI : Empowering reflective writing with large language models**, Seyed Parsa Neshaei, Paola Mejia-Domenzain, Richard L. Davis, Tanja Käser. British Journal of Educational Technology 2025. DOI 10.1111/bjet.13601. [Details](https://paola-md.github.io/papers/metacognition-meets-ai-empowering-reflective-writing-with-large-language.md)
- **Who Gives Feedback Matters: Student Biases Towards Human and AI-Generated Formative Feedback**, Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, et al.. Journal of Computer Assisted Learning 2025. DOI 10.1111/jcal.70153. [Details](https://paola-md.github.io/papers/who-gives-feedback-matters-student-biases-towards-human-and-ai-generated.md)
- **User-centric Reflective Writing Assistance: Leveraging RAG for Enhanced Personalized Support**, Seyed Parsa Neshaei, Matea Tashkovska, Paola Mejia-Domenzain, Thiemo Wambsganß, et al.. CHI '25 Extended Abstracts 2025. DOI 10.1145/3706599.3719899. [Details](https://paola-md.github.io/papers/user-centric-reflective-writing-assistance-leveraging-rag-for-enhanced-p.md)
- **"Piecing Data Connections Together Like a Puzzle": Effects of Increasing Task Complexity on the Effectiveness of Data Storytelling Enhanced Visualisations**, Mikaela Milesi, Paola Mejia-Domenzain, Laura Brandl, Vanessa Echeverría, et al.. CHI Conference on Human Factors in Computing Systems (CHI '25) 2025. DOI 10.1145/3706598.3714270. [Details](https://paola-md.github.io/papers/piecing-data-connections-together-like-a-puzzle-effects-of-increasing-ta.md)
- **TeamTeachingViz: Benefits, Challenges, and Ethical Considerations of Using a Multimodal Analytics Dashboard to Support Team Teaching Reflection**, Riordan Alfredo, Paola Mejia-Domenzain, Vanessa Echeverría, Dwi Lestari Rahayu, et al.. Learning Analytics and Knowledge (LAK '25) 2025. DOI 10.1145/3706468.3706475. [Details](https://paola-md.github.io/papers/teamteachingviz-benefits-challenges-and-ethical-considerations-of-using-.md)
- **Behavioural transitions in team teaching**, Yuchen Liu, Sadia Nawaz, Mohammed Saqr, Sonsoles López-Pernas, et al.. ASCILITE 2025. DOI 10.65106/apubs.2025.2634. [Details](https://paola-md.github.io/papers/behavioural-transitions-in-team-teaching.md)
- **BloomTutor: Retrieval Augmentation for Bloom's Taxonomy Question Generation**, Yannis Laaroussi, Vinitra Swamy, Paola Mejia-Domenzain, Adrien Vauthey, et al.. EPFL Infoscience 2025. [Details](https://paola-md.github.io/papers/bloomtutor-retrieval-augmentation-for-bloom-s-taxonomy-question-generati.md)
- **AI or Human? Evaluating Student Feedback Perceptions in Higher Education**, Tanya Nazaretsky, Paola Mejia-Domenzain, Vinitra Swamy, Jibril Frej, et al.. European Conference on Technology Enhanced Learning (ECTEL 2024) 2024. DOI 10.1007/978-3-031-72315-5_20. [Details](https://paola-md.github.io/papers/ai-or-human-evaluating-student-feedback-perceptions-in-higher-education.md)
- **Interpret3C: Interpretable Student Clustering Through Individualized Feature Selection**, Isadora Salles, Paola Mejia-Domenzain, Vinitra Swamy, Julian Blackwell, et al.. Communications in Computer and Information Science 2024. DOI 10.1007/978-3-031-64315-6_35. [Details](https://paola-md.github.io/papers/interpret3c-interpretable-student-clustering-through-individualized-feat.md)
- **Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes**, Paola Mejia-Domenzain, Jibril Frej, Seyed Parsa Neshaei, Luca Mouchel, et al.. International Journal of Artificial Intelligence in Education 2024. DOI 10.1007/s40593-024-00405-1. [Details](https://paola-md.github.io/papers/enhancing-procedural-writing-through-personalized-example-retrieval-a-ca.md)
- **Teaching and Measuring Multidimensional Inquiry Skills using Interactive Simulations**, Ekaterina Shved, Engin Bumbacher, Paola Mejia-Domenzain, Manu Kapur, et al.. Lecture Notes in Computer Science (AIED 2024) 2024. DOI 10.1007/978-3-031-64302-6_34. [Details](https://paola-md.github.io/papers/teaching-and-measuring-multidimensional-inquiry-skills-using-interactive.md)
- **Navigating Self-regulated Learning Dimensions: Exploring Interactions Across Modalities**, Paola Mejia-Domenzain, Tanya Nazaretsky, Simon Schultze, Jan Hochweber, et al.. Lecture Notes in Computer Science 2024. DOI 10.1007/978-3-031-64299-9_8. [Details](https://paola-md.github.io/papers/navigating-self-regulated-learning-dimensions-exploring-interactions-acr.md)
- **GELEX: Generative AI-Hybrid System for Example-Based Learning**, Aybars Yazici, Paola Mejia-Domenzain, Jibril Frej, Tanja Käser. CHI '24 Extended Abstracts 2024. DOI 10.1145/3613905.3650900. [Details](https://paola-md.github.io/papers/gelex-generative-ai-hybrid-system-for-example-based-learning.md)
- **Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning**, Elena Grazia Gado, Tommaso Martorella, Luca Zunino, Paola Mejia-Domenzain, et al.. arXiv preprint 2024. DOI 10.48550/arxiv.2405.20079. [Details](https://paola-md.github.io/papers/student-answer-forecasting-transformer-driven-answer-choice-prediction-f.md)
- **Visualizing Self-Regulated Learner Profiles in Dashboards: Design Insights from Teachers**, Paola Mejia-Domenzain, Eva Laini, Seyed Parsa Neshaei, Thiemo Wambsganß, et al.. Communications in Computer and Information Science 2023. DOI 10.1007/978-3-031-36336-8_96. [Details](https://paola-md.github.io/papers/visualizing-self-regulated-learner-profiles-in-dashboards-design-insight.md)
- **Understanding Revision Behavior in Adaptive Writing Support Systems for Education**, Luca Mouchel, Thiemo Wambsganß, Paola Mejia-Domenzain, Tanja Käser. Zenodo 2023. DOI 10.5281/zenodo.8115766. [Details](https://paola-md.github.io/papers/understanding-revision-behavior-in-adaptive-writing-support-systems-for-.md)
- **Identifying and Comparing Multi-dimensional Student Profiles Across Flipped Classrooms**, Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Tanja Käser. Lecture Notes in Computer Science 2022. DOI 10.1007/978-3-031-11644-5_8. [Details](https://paola-md.github.io/papers/identifying-and-comparing-multi-dimensional-student-profiles-across-flip.md)
- **Evolutionary Clustering of Apprentices' Self-Regulated Learning Behavior in Learning Journals**, Paola Mejia-Domenzain, Mirko Marras, Christian Giang, Alberto Cattáneo, et al.. IEEE Transactions on Learning Technologies 2022. DOI 10.1109/tlt.2022.3195881. [Details](https://paola-md.github.io/papers/evolutionary-clustering-of-apprentices-self-regulated-learning-behavior-.md)

## More

- Full text of the whole site: https://paola-md.github.io/llms-full.txt
- BibTeX: https://paola-md.github.io/publications.bib
- JSON: https://paola-md.github.io/publications.json