Peter Brusilovsky

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 187

Top Venues

IEEE Trans. Learn. Technol.

UMAP

RecSys

EDM

Publications

Arun Balajiee Lekshmi Narayanan, Priti Oli, Jeevan Chapagain, Mohammad Hassany, Rabin Banjade, Peter Brusilovsky, Vasile Rus
Explaining Code Examples in Introductory Programming Courses: LLM vs Humans. CoRR (2024)
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. ACL (1) (2024)
Mohammad Hassany, Jiaze Ke, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu
Authoring Worked Examples for JAVA Programming with Human AI Collaboration. SAC (2024)
Behnam Rahdari, Peter Brusilovsky, Branislav Kveton
Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces. Trans. Recomm. Syst. 2 (1) (2024)
Behnam Rahdari, Peter Brusilovsky
CARE: An Infrastructure for Evaluation of Carousel-Based Recommender Interfaces. IUI Companion (2024)
Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan
Human-AI Co-Creation of Worked Examples for Programming Classes. CoRR (2024)
Rully Agus Hendrawan, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Jordan Barria-Pineda
Explanations in Open User Models for Personalized Information Exploration. UMAP (Adjunct Publication) (2024)
Priti Oli, Rabin Banjade, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky, Vasile Rus
Exploring The Effectiveness of Reading vs. Tutoring For Enhancing Code Comprehension For Novices. SAC (2024)
Ján Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Mária Bieliková, Peter Brusilovsky
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation. CoRR (2024)
Kamil Akhuseyinoglu, Emma McDonald, Aleksandra Klasnja-Milicevic, Carrie Demmans Epp, Peter Brusilovsky
Exploring Adaptive Social Comparison for Online Practice. UMAP (Adjunct Publication) (2024)
Peter Brusilovsky
AI in Education, Learner Control, and Human-AI Collaboration. Int. J. Artif. Intell. Educ. 34 (1) (2024)
Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan
Human-AI Co-Creation of Worked Examples for Programming Classes. IUI Workshops (2024)
Clifford A. Shaffer, Peter Brusilovsky, Ken Koedinger, Thomas W. Price, Tiffany Barnes, Behrooz Mostafavi
Ninth SPLICE Workshop on Technology and Data Infrastructure for CS Education Research. SIGCSE (2) (2024)
Muntasir Hoq, Peter Brusilovsky, Bita Akram
Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course. EDM (2023)
Sergey A. Sosnovsky, Peter Brusilovsky, Andrew S. Lan
Intelligent Textbooks: The Fifth International Workshop. AIED (Posters/Late Breaking Results/...) (2023)
Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky
Adaptive Navigational Support and Explainable Recommendations in a Personalized Programming Practice System. HT (2023)
Jeevan Chapagain, Zak Risha, Rabin Banjade, Priti Oli, Lasang Jimba Tamang, Peter Brusilovsky, Vasile Rus
SelfCode: An Annotated Corpus and a Model for Automated Assessment of Self-Explanation During Source Code Comprehension. FLAIRS (2023)
Ján Cegin, Jakub Simko, Peter Brusilovsky
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness. EMNLP (2023)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23). RecSys (2023)
Priti Oli, Rabin Banjade, Arun Balajiee Lekshmi Narayanan, Jeevan Chapagain, Lasang Jimba Tamang, Peter Brusilovsky, Vasile Rus
Improving Code Comprehension Through Scaffolded Self-explanations. AIED (Posters/Late Breaking Results/...) (2023)
Isaac Alpizar Chacon, Sergey A. Sosnovsky, Peter Brusilovsky
Measuring the Quality of Domain Models Extracted from Textbooks with Learning Curves Analysis. AIED (2023)
Peter Brusilovsky, Barbara J. Ericson, Cay S. Horstmann, Christian Servin, Frank Vahid, Craig B. Zilles
Significant Trends in CS Educational Material: Current and Future. SIGCSE (2) (2023)
Ján Cegin, Jakub Simko, Peter Brusilovsky
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness. CoRR (2023)
Muntasir Hoq, Sushanth Reddy Chilla, Melika Ahmadi Ranjbar, Peter Brusilovsky, Bita Akram
SANN: Programming Code Representation Using Attention Neural Network with Optimized Subtree Extraction. CIKM (2023)
Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan
Authoring Worked Examples for Java Programming with Human-AI Collaboration. CoRR (2023)
Yun Huang, Peter Brusilovsky, Julio Guerra, Kenneth R. Koedinger, Christian Schunn
Supporting skill integration in an intelligent tutoring system for code tracing. J. Comput. Assist. Learn. 39 (2) (2023)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
Report on the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) at ACM RecSys 2023. SIGIR Forum 57 (2) (2023)
Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He
Knowledge Annotation for Intelligent Textbooks. Technol. Knowl. Learn. 28 (1) (2023)
Arun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda
Help Me Read! Expanding Students' Reading with Wikipedia Articles. EDM (2023)
Peter Brusilovsky, Sergey A. Sosnovsky, Khushboo Thaker
The Return of Intelligent Textbooks. AI Mag. 43 (3) (2022)
Sergey A. Sosnovsky, Peter Brusilovsky, Andrew S. Lan
Intelligent Textbooks: Themes and Topics. AIED (2) (2022)
Kamil Akhuseyinoglu, Ryan Hardt, Jordan Barria-Pineda, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi
A Study of Worked Examples for SQL Programming. ITiCSE (1) (2022)
Behnam Rahdari, Peter Brusilovsky, Daqing He, Khushboo Maulikmihir Thaker, Zhimeng Luo, Young Ji Lee
HELPeR: An Interactive Recommender System for Ovarian Cancer Patients and Caregivers. RecSys (2022)
Laia Albó, Jordan Barria-Pineda, Peter Brusilovsky, Davinia Hernández-Leo
Knowledge-Based Design Analytics for Authoring Courses with Smart Learning Content. Int. J. Artif. Intell. Educ. 32 (1) (2022)
Peter Brusilovsky
User Control in Adaptive Information Access. UMAP (2022)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22). RecSys (2022)
Jordan Barria-Pineda, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky
Augmenting Digital Textbooks with Reusable Smart Learning Content: Solutions and Challenges. iTextbooks@AIED (2022)
Ján Cegin, Jakub Simko, Peter Brusilovsky
A Game for Crowdsourcing Adversarial Examples for False Information Detection. AiOfAi@IJCAI (2022)
Alireza Javadian Sabet, Isaac Alpizar Chacon, Jordan Barria-Pineda, Peter Brusilovsky, Sergey A. Sosnovsky
Enriching Intelligent Textbooks with Interactivity: When Smart Content Allocation Goes Wrong. iTextbooks@AIED (2022)
Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura O. Moraes
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. CoRR (2022)
Behnam Rahdari, Branislav Kveton, Peter Brusilovsky
The Magic of Carousels: Single vs. Multi-List Recommender Systems. HT (2022)
Behnam Rahdari, Peter Brusilovsky, Branislav Kveton
Towards Increasing the Coverage of Interactive Recommendations. FLAIRS (2022)
Bita Akram, Thomas W. Price, Yang Shi, Peter Brusilovsky, Sharon I-Han Hsiao
6th Educational Data Mining in Computer Science Education (CSEDM) Workshop. EDM (2022)
Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky
Proximity-Based Educational Recommendations: A Multi-Objective Framework. MORS@RecSys (2022)
Francesco Sovrano, Kevin Ashley, Peter Brusilovsky, Fabio Vitali
YAI4Edu: an Explanatory AI to Generate Interactive e-Books for Education. iTextbooks@AIED (2022)
Kamil Akhuseyinoglu, Peter Brusilovsky
Exploring Behavioral Patterns for Data-Driven Modeling of Learners' Individual Differences. Frontiers Artif. Intell. 5 (2022)
Behnam Rahdari, Peter Brusilovsky
Simulation-Based Evaluation of Interactive Recommender Systems. IntRS@RecSys (2022)
Behnam Rahdari, Branislav Kveton, Peter Brusilovsky
From Ranked Lists to Carousels: A Carousel Click Model. CoRR (2022)
Kamil Akhuseyinoglu, Aleksandra Klasnja-Milicevic, Peter Brusilovsky
Who are My Peers? Learner-Controlled Social Comparison in a Programming Course. EC-TEL (2022)
Vasile Rus, Peter Brusilovsky, Lasang Jimba Tamang, Kamil Akhuseyinoglu, Scott Fleming
DeepCode: An Annotated Set of Instructional Code Examples to Foster Deep Code Comprehension and Learning. ITS (2022)
Katerina Mangaroska, Boban Vesin, Vassilis Kostakos, Peter Brusilovsky, Michail N. Giannakos
Architecting Analytics Across Multiple E-Learning Systems to Enhance Learning Design. IEEE Trans. Learn. Technol. 14 (2) (2021)
Vasile Rus, Kamil Akhuseyinoglu, Jeevan Chapagain, Lasang Jimba Tamang, Peter Brusilovsky
Prompting for Free Self-Explanations Promotes Better Code Comprehension (Work In Progress). EDM (Workshops) (2021)
Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura O. Moraes
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. UMAP (2021)
Chun-Hua Tsai, Peter Brusilovsky
The effects of controllability and explainability in a social recommender system. User Model. User Adapt. Interact. 31 (3) (2021)
Kamil Akhuseyinoglu, Peter Brusilovsky
Data-Driven Modeling of Learners' Individual Differences for Predicting Engagement and Success in Online Learning. UMAP (2021)
Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky
MOCHI: an Offline Evaluation Framework for Educational Recommendations. Perspectives@RecSys (2021)
Isaac Alpizar Chacon, Jordan Barria-Pineda, Kamil Akhuseyinoglu, Sergey A. Sosnovsky, Peter Brusilovsky
Integrating Textbooks with Smart Interactive Content for Learning Programming. iTextbooks@AIED (2021)
Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet
Connecting Students with Research Advisors Through User-Controlled Recommendation. RecSys (2021)
Run Yu, Zachary A. Pardos, Hung Chau, Peter Brusilovsky
Orienting Students to Course Recommendations Using Three Types of Explanation. UMAP (Adjunct Publication) (2021)
Yu Chi, Vivian Hui, Hannah Kunsak, Peter Brusilovsky, Heidi Donovan, Daqing He, Young Ji Lee
Challenges of Ovarian Cancer Patient and Caregiver Online Health Information Seeking. ASIST (2021)
Khushboo Maulikmihir Thaker, Susan Birkhoff, Vivian Hui, Zhendong Wang, Peter Brusilovsky, Daqing He, Young Ji Lee
Towards building a Recommender System: Analyzing Resource Sharing on an Online Ovarian Cancer Community. AMIA (2021)
Behnam Rahdari, Peter Brusilovsky
PaperExplorer: Personalized Exploratory Search for Conference Proceedings. IUI Workshops (2021)
Jordan Barria-Pineda, Kamil Akhuseyinoglu, Stefan Zelem-Celap, Peter Brusilovsky, Aleksandra Klasnja-Milicevic, Mirjana Ivanovic
Explainable Recommendations in a Personalized Programming Practice System. AIED (1) (2021)
Hung Chau, Igor Labutov, Khushboo Thaker, Daqing He, Peter Brusilovsky
Automatic Concept Extraction for Domain and Student Modeling in Adaptive Textbooks. Int. J. Artif. Intell. Educ. 31 (4) (2021)
Zak Risha, Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky
Stepwise Help and Scaffolding for Java Code Tracing Problems With an Interactive Trace Table. Koli Calling (2021)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21). RecSys (2021)
Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet
Controlling Personalized Recommendations in Two Dimensions with a Carousel-Based Interface. IntRS@RecSys (2021)
Peter Brusilovsky, Ken Koedinger, David A. Joyner, Thomas W. Price
Building an Infrastructure for Computer Science Education Research and Practice at Scale. L@S (2020)
Sibel Somyürek, Peter Brusilovsky, Julio Guerra
Supporting knowledge monitoring ability: open learner modeling vs. open social learner modeling. Res. Pract. Technol. Enhanc. Learn. 15 (1) (2020)
Cecilia di Sciascio, Peter Brusilovsky, Christoph Trattner, Eduardo E. Veas
A Roadmap to User-Controllable Social Exploratory Search. ACM Trans. Interact. Intell. Syst. 10 (1) (2020)
Chun-Hua Tsai, Peter Brusilovsky
User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis. IntRS@RecSys (2020)
Chun-Hua Tsai, Peter Brusilovsky
Exploring Social Recommendations with Visual Diversity-Promoting Interfaces. ACM Trans. Interact. Intell. Syst. 10 (1) (2020)
Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda
Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Textbooks. iTextbooks@AIED (2020)
Kamil Akhuseyinoglu, Jordan Barria-Pineda, Sergey A. Sosnovsky, Anna-Lena Lamprecht, Julio Guerra, Peter Brusilovsky
Exploring Student-Controlled Social Comparison. EC-TEL (2020)
Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky, Kerttu Pollari-Malmi, Teemu Sirkiä, Lauri Malmi
Personalized Remedial Recommendations for SQL Programming Practice System. UMAP (Adjunct Publication) (2020)
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He, Adam Trischler
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases. ACL (2020)
Zhendong Wang, Peter Brusilovsky, Heidi Donovan, Vivian Hui, Mary L. Klem, Daniel Przybylak, Heidi Reis, Daqing He, Young Ji Lee
Machine learning based iterative annotation system for Ovarian Cancer articles. AMIA (2020)
Behnam Rahdari, Peter Brusilovsky, Dmitriy Babichenko
Personalizing Information Exploration with an Open User Model. HT (2020)
Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He
Concept Annotation for Intelligent Textbooks. CoRR (2020)
Chun-Hua Tsai, Jukka Huhtamäki, Thomas Olsson, Peter Brusilovsky
Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective. IntRS@RecSys (2020)
Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Zef Segal, Tsvi Kuflik
Demonstrating Personalized Multifaceted Visualization of People Recommendation to Conference Participants. IUI Companion (2020)
Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda
Knowledge-Driven Wikipedia Article Recommendation for Electronic Textbooks. EC-TEL (2020)
Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Tsvi Kuflik
Personalized Multifaceted Visualization of Scholars Profiles. AVI (2020)
Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky
Structure-Based Discriminative Matrix Factorization for Detecting Inefficient Learning Behaviors. WI/IAT (2020)
Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky
Detecting Trait versus Performance Student Behavioral Patterns Using Discriminative Non-Negative Matrix Factorization. FLAIRS Conference (2020)
Roya Hosseini, Kamil Akhuseyinoglu, Peter Brusilovsky, Lauri Malmi, Kerttu Pollari-Malmi, Christian Schunn, Teemu Sirkiä
Improving Engagement in Program Construction Examples for Learning Python Programming. Int. J. Artif. Intell. Educ. 30 (2) (2020)
Khushboo Thaker, Lei Zhang, Daqing He, Peter Brusilovsky
Recommending Remedial Readings Using Student's Knowledge state. EDM (2020)
Dmitriy Babichenko, Patrick Healy, Marcela Gomez, Sandra Kane-Gill, Eliza Beth Littleton, Peter Brusilovsky, Paul Cohen, Ravi Patel
The Use of Agent-Based Models As Non-Player Characters in Serious Games. SeGAH (2020)
Khushboo Maulikmihir Thaker, Young Ji Lee, Peter Brusilovsky, Daqing He
Automated categorization of online health documents using Domain Specificity. AMIA (2020)
Behnam Rahdari, Peter Brusilovsky, Dmitriy Babichenko, Eliza Beth Littleton, Ravi Patel, Jaime Fawcett, Zara Blum
Grapevine: A profile-based exploratory search and recommendation system for finding research advisors. ASIST (2020)
Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Zef Segal, Tsvi Kuflik
Visualizing Personalized Multifaceted ad-hoc Social Network. UMAP (Adjunct Publication) (2020)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
Interfaces and Human Decision Making for Recommender Systems. RecSys (2020)
Chun-Hua Tsai, Peter Brusilovsky
Designing Explanation Interfaces for Transparency and Beyond. IUI Workshops (2019)
Saeed Amal, Chun-Hua Tsai, Peter Brusilovsky, Tsvi Kuflik, Einat Minkov
Relational social recommendation: Application to the academic domain. Expert Syst. Appl. 124 (2019)
Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence. CoRR (2019)
Xidao Wen, Yu-Ru Lin, Xi Liu, Peter Brusilovsky, Jordan Barria-Pineda
Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses. WWW (2019)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
RecSys '19 joint workshop on interfaces and human decision making for recommender systems. RecSys (2019)
Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky
Annotated Examples and Parameterized Exercises: Analyzing Students' Behavior Patterns. AIED (1) (2019)
Chun-Hua Tsai, Peter Brusilovsky
Explaining recommendations in an interactive hybrid social recommender. IUI (2019)
Behnam Rahdari, Peter Brusilovsky
Building a Knowledge Graph for Recommending Experts. DI2KG@KDD (2019)

Peter Brusilovsky.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Peter Brusilovsky