| 2026 | LAK | Data-Driven Evaluation of LLM-Based Ontology Concept Extraction from Programming Learning Content. | Rully Agus Hendrawan, Rafaella Sampaio de Alencar, Alice Micheli, Peter Brusilovsky, Jordan Barria-Pineda, Sergey A. Sosnovsky |
| 2026 | SIGCSE | Translating Smart Content for Learning Python through Human-AI Collaboration. | Mohammad Hassany, Peter Brusilovsky, Jordan Barria-Pineda, Isaac Alpizar Chacon |
| 2025 | AIED | Using Self-regulated Learning Theory to Inform the Design of Educational Recommender Systems for Introductory Programming. | Jordan Barria-Pineda, Deniz Sonmez Unal, Kamil Akhuseyinoglu, Peter Brusilovsky, Erin Walker |
| 2025 | EDM | Example Explorers and Persistent Finishers: Exploring Student Practice Behaviors in a Python Practice System. | Allison Poh, Anurata Prabha Hridi, Jordan Barria-Pineda, Peter Brusilovsky, Bita Akram |
| 2023 | EDM | Help Me Read! Expanding Students' Reading with Wikipedia Articles. | Arun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda |
| 2022 | AIED | Augmenting Digital Textbooks with Reusable Smart Learning Content: Solutions and Challenges. | Jordan Barria-Pineda, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky |
| 2022 | AIED | Enriching Intelligent Textbooks with Interactivity: When Smart Content Allocation Goes Wrong. | Alireza Javadian Sabet, Isaac Alpizar Chacon, Jordan Barria-Pineda, Peter Brusilovsky, Sergey A. Sosnovsky |
| 2022 | ITiCSE | A Study of Worked Examples for SQL Programming. | Kamil Akhuseyinoglu, Ryan Hardt, Jordan Barria-Pineda, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirki, Lauri Malmi |
| 2021 | AIED | Explainable Recommendations in a Personalized Programming Practice System. | Jordan Barria-Pineda, Kamil Akhuseyinoglu, Stefan Zelem-Celap, Peter Brusilovsky, Aleksandra Klasnja-Milicevic, Mirjana Ivanovic |
| 2021 | AIED | Integrating Textbooks with Smart Interactive Content for Learning Programming. | Isaac Alpizar Chacon, Jordan Barria-Pineda, Kamil Akhuseyinoglu, Sergey A. Sosnovsky, Peter Brusilovsky |
| 2020 | AIED | Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Textbooks. | Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda |
| 2020 | IUI | Understanding the effects of control and transparency in searching as learning. | Cecilia di Sciascio, Eduardo E. Veas, Jordan Barria-Pineda, Colleen Culley |
| 2019 | AIED | Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks. | Jordan Barria-Pineda, Peter Brusilovsky, Daqing He |
| 2019 | IUI | Explaining educational recommendations through a concept-level knowledge visualization. | Jordan Barria-Pineda, Peter Brusilovsky |
| 2019 | IUI | Making Educational Recommendations Transparent through a Fine-Grained Open Learner Model. | Jordan Barria-Pineda, Peter Brusilovsky |
| 2019 | WWW | Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses. | Xidao Wen, Yu-Ru Lin, Xi Liu, Peter Brusilovsky, Jordan Barria-Pineda |
| 2018 | AIED | Learning Content Recommender System for Instructors of Programming Courses. | Hung Chau, Jordan Barria-Pineda, Peter Brusilovsky |
| 2017 | IUI | Concept-Level Knowledge Visualization For Supporting Self-Regulated Learning. | Jordan Barria-Pineda, Julio Guerra, Yun Huang, Peter Brusilovsky |