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ORCIDPeter Brusilovsky
Person information
- affiliation: University of Pittsburgh, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, USA
- award: Humboldt Prize
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2020 – today
- 2024
[j123]Peter Brusilovsky:
AI in Education, Learner Control, and Human-AI Collaboration. Int. J. Artif. Intell. Educ. 34(1): 122-135 (2024)- [j122]Behnam Rahdari
, Peter Brusilovsky, Branislav Kveton:
Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces. Trans. Recomm. Syst. 2(1): 9:1-9:25 (2024) - [c298]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: 13148-13171 - [c297]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 - [c296]Behnam Rahdari, Peter Brusilovsky:
CARE: An Infrastructure for Evaluation of Carousel-Based Recommender Interfaces. IUI Companion 2024: 41-44 - [c295]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: 38-47 - [c294]Mohammad Hassany, Jiaze Ke, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu:
Authoring Worked Examples for JAVA Programming with Human AI Collaboration. SAC 2024: 101-103 - [c293]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: 1904 - [c292]Kamil Akhuseyinoglu, Emma McDonald, Aleksandra Klasnja-Milicevic, Carrie Demmans Epp, Peter Brusilovsky:
Exploring Adaptive Social Comparison for Online Practice. UMAP (Adjunct Publication) 2024 - [c291]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 - [i11]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 abs/2401.06643 (2024) - [i10]Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan:
Human-AI Co-Creation of Worked Examples for Programming Classes. CoRR abs/2402.16235 (2024) - [i9]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 abs/2403.05538 (2024) - 2023
- [j121]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): 477-500 (2023) - [j120]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): 17:1-17:6 (2023) - [j119]Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He:
Knowledge Annotation for Intelligent Textbooks. Technol. Knowl. Learn. 28(1): 1-22 (2023) - [c290]Sergey A. Sosnovsky, Peter Brusilovsky, Andrew S. Lan:
Intelligent Textbooks: The Fifth International Workshop. AIED (Posters/Late Breaking Results/...) 2023: 97-102 - [c289]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: 478-483 - [c288]Isaac Alpizar Chacon, Sergey A. Sosnovsky, Peter Brusilovsky:
Measuring the Quality of Domain Models Extracted from Textbooks with Learning Curves Analysis. AIED 2023: 804-809 - [c287]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: 783-792 - [c286]Muntasir Hoq, Peter Brusilovsky, Bita Akram:
Analysis of an Explainable Student Performance Prediction Model in an Introductory Programming Course. EDM 2023 - [c285]Arun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda:
Help Me Read! Expanding Students' Reading with Wikipedia Articles. EDM 2023 - [c284]Ján Cegin, Jakub Simko, Peter Brusilovsky:
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness. EMNLP 2023: 1889-1905 - [c283]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 - [c282]Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky:
Adaptive Navigational Support and Explainable Recommendations in a Personalized Programming Practice System. HT 2023: 29:1-29:9 - [c281]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: 1255-1258 - [c280]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: 1253 - [e29]Sergey A. Sosnovsky, Peter Brusilovsky, Andrew S. Lan:
Proceedings of the Fifth International Workshop on Intelligent Textbooks 2023 co-located with the 24th International Conference on Artificial Intelligence in Education (AIED 2023), Tokyo, Japan, July 3, 2023. CEUR Workshop Proceedings 3444, CEUR-WS.org 2023 [contents] - [e28]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), Hybrid Event, Singapore, September 18, 2023. CEUR Workshop Proceedings 3534, CEUR-WS.org 2023 [contents] - [i8]Ján Cegin, Jakub Simko, Peter Brusilovsky:
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness. CoRR abs/2305.12947 (2023) - [i7]Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan:
Authoring Worked Examples for Java Programming with Human-AI Collaboration. CoRR abs/2312.02105 (2023) - 2022
- [j118]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): 4-27 (2022) - [j117]Peter Brusilovsky, Sergey A. Sosnovsky, Khushboo Thaker:
The Return of Intelligent Textbooks. AI Mag. 43(3): 337-340 (2022) - [j116]Kamil Akhuseyinoglu, Peter Brusilovsky:
Exploring Behavioral Patterns for Data-Driven Modeling of Learners' Individual Differences. Frontiers Artif. Intell. 5: 807320 (2022) - [c279]Francesco Sovrano, Kevin D. Ashley, Peter Brusilovsky, Fabio Vitali:
YAI4Edu: an Explanatory AI to Generate Interactive e-Books for Education. iTextbooks@AIED 2022: 31-39 - [c278]Jordan Barria-Pineda, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky:
Augmenting Digital Textbooks with Reusable Smart Learning Content: Solutions and Challenges. iTextbooks@AIED 2022: 77-91 - [c277]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: 92-104 - [c276]Sergey A. Sosnovsky, Peter Brusilovsky, Andrew S. Lan:
Intelligent Textbooks: Themes and Topics. AIED (2) 2022: 111-114 - [c275]Ján Cegin, Jakub Simko, Peter Brusilovsky:
A Game for Crowdsourcing Adversarial Examples for False Information Detection. AiOfAi@IJCAI 2022: 13-25 - [c274]Kamil Akhuseyinoglu, Aleksandra Klasnja-Milicevic, Peter Brusilovsky:
Who are My Peers? Learner-Controlled Social Comparison in a Programming Course. EC-TEL 2022: 1-15 - [c273]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 - [c272]Behnam Rahdari, Peter Brusilovsky, Branislav Kveton:
Towards Increasing the Coverage of Interactive Recommendations. FLAIRS 2022 - [c271]Behnam Rahdari, Branislav Kveton, Peter Brusilovsky:
The Magic of Carousels: Single vs. Multi-List Recommender Systems. HT 2022: 166-174 - [c270]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: 82-88 - [c269]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: 36-50 - [c268]Behnam Rahdari, Peter Brusilovsky:
Simulation-Based Evaluation of Interactive Recommender Systems. IntRS@RecSys 2022: 122-136 - [c267]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: 644-647 - [c266]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: 667-670 - [c265]Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky:
Proximity-Based Educational Recommendations: A Multi-Objective Framework. MORS@RecSys 2022 - [c264]Peter Brusilovsky:
User Control in Adaptive Information Access. UMAP 2022: 357-360 - [e27]Sergey A. Sosnovsky, Peter Brusilovsky, Andrew S. Lan:
Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022 co-located with 23d International Conference on Artificial Intelligence in Education (AIED 2022), Durham, UK, July 27, 2022. CEUR Workshop Proceedings 3192, CEUR-WS.org 2022 [contents] - [e26]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Hybrid Event, Seattle, US, September 22, 2022. CEUR Workshop Proceedings 3222, CEUR-WS.org 2022 [contents] - [i6]Behnam Rahdari, Branislav Kveton, Peter Brusilovsky:
From Ranked Lists to Carousels: A Carousel Click Model. CoRR abs/2209.13426 (2022) - [i5]Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura Oliveira Moraes:
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. CoRR abs/2210.09013 (2022) - 2021
- [j115]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): 820-846 (2021) - [j114]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): 173-188 (2021) - [j113]Chun-Hua Tsai, Peter Brusilovsky:
The effects of controllability and explainability in a social recommender system. User Model. User Adapt. Interact. 31(3): 591-627 (2021) - [c263]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: 4-18 - [c262]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: 64-76 - [c261]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 - [c260]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: 688-690 - [c259]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 - [c258]Behnam Rahdari, Peter Brusilovsky:
PaperExplorer: Personalized Exploratory Search for Conference Proceedings. IUI Workshops 2021 - [c257]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: 27:1-27:10 - [c256]Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet:
Controlling Personalized Recommendations in Two Dimensions with a Carousel-Based Interface. IntRS@RecSys 2021: 112-122 - [c255]Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet:
Connecting Students with Research Advisors Through User-Controlled Recommendation. RecSys 2021: 745-748 - [c254]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: 783-786 - [c253]Chunpai Wang, Shaghayegh Sahebi, Peter Brusilovsky:
MOCHI: an Offline Evaluation Framework for Educational Recommendations. Perspectives@RecSys 2021 - [c252]Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura Oliveira Moraes:
Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. UMAP 2021: 179-188 - [c251]Kamil Akhuseyinoglu, Peter Brusilovsky:
Data-Driven Modeling of Learners' Individual Differences for Predicting Engagement and Success in Online Learning. UMAP 2021: 201-212 - [c250]Run Yu, Zachary A. Pardos, Hung Chau, Peter Brusilovsky:
Orienting Students to Course Recommendations Using Three Types of Explanation. UMAP (Adjunct Publication) 2021: 238-245 - [e25]Sergey A. Sosnovsky, Peter Brusilovsky, Richard G. Baraniuk, Andrew S. Lan:
Proceedings of the Third International Workshop on Inteligent Textbooks 2021 Co-located with 22nd International Conference on Artificial Intelligence in Education (AIED 2021), Online, June 15, 2021. CEUR Workshop Proceedings 2895, CEUR-WS.org 2021 [contents] - [e24]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Online Event, September 25 and September 29, 2021. CEUR Workshop Proceedings 2948, CEUR-WS.org 2021 [contents] - 2020
- [j112]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): 299-336 (2020) - [j111]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): 17 (2020) - [j110]Chun-Hua Tsai, Peter Brusilovsky:
Exploring Social Recommendations with Visual Diversity-Promoting Interfaces. ACM Trans. Interact. Intell. Syst. 10(1): 5:1-5:34 (2020) - [j109]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): 8:1-8:38 (2020) - [c249]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: 7961-7975 - [c248]Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda:
Using Knowledge Graph for Explainable Recommendation of External Content in Electronic Textbooks. iTextbooks@AIED 2020: 50-61 - [c247]Khushboo Maulikmihir Thaker, Young Ji Lee, Peter Brusilovsky, Daqing He:
Automated categorization of online health documents using Domain Specificity. AMIA 2020 - [c246]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 - [c245]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 - [c244]Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Tsvi Kuflik:
Personalized Multifaceted Visualization of Scholars Profiles. AVI 2020: 91:1-91:3 - [c243]Kamil Akhuseyinoglu, Jordan Barria-Pineda, Sergey A. Sosnovsky, Anna-Lena Lamprecht, Julio Guerra, Peter Brusilovsky:
Exploring Student-Controlled Social Comparison. EC-TEL 2020: 244-258 - [c242]Behnam Rahdari, Peter Brusilovsky, Khushboo Thaker, Jordan Barria-Pineda:
Knowledge-Driven Wikipedia Article Recommendation for Electronic Textbooks. EC-TEL 2020: 363-368 - [c241]Khushboo Thaker, Lei Zhang, Daqing He, Peter Brusilovsky:
Recommending Remedial Readings Using Student's Knowledge state. EDM 2020 - [c240]Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky:
Detecting Trait versus Performance Student Behavioral Patterns Using Discriminative Non-Negative Matrix Factorization. FLAIRS 2020: 439-444 - [c239]Behnam Rahdari, Peter Brusilovsky, Dmitriy Babichenko:
Personalizing Information Exploration with an Open User Model. HT 2020: 167-176 - [c238]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: 49-50 - [c237]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: 211-213 - [c236]Chun-Hua Tsai, Peter Brusilovsky:
User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis. IntRS@RecSys 2020: 1-13 - [c235]Chun-Hua Tsai, Jukka Huhtamäki, Thomas Olsson, Peter Brusilovsky:
Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective. IntRS@RecSys 2020: 57-64 - [c234]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: 613-618 - [c233]Dmitriy Babichenko, Patrick Healy, Marcela M. Gomez, Sandra L. 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: 1-8 - [c232]Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Zef Segal, Tsvi Kuflik:
Visualizing Personalized Multifaceted ad-hoc Social Network. UMAP (Adjunct Publication) 2020: 101-102 - [c231]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: 135-142 - [c230]Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky:
Structure-Based Discriminative Matrix Factorization for Detecting Inefficient Learning Behaviors. WI/IAT 2020: 283-290 - [e23]Sergey A. Sosnovsky, Peter Brusilovsky, Richard G. Baraniuk, Andrew S. Lan:
Proceedings of the Second International Workshop on Intelligent Textbooks 2020 co-located with 21st International Conference on Artificial Intelligence in Education (AIED 2020), Online, July 06, 2020. CEUR Workshop Proceedings 2674, CEUR-WS.org 2020 [contents] - [e22]Thomas W. Price, Peter Brusilovsky, Sharon I-Han Hsiao, Ken Koedinger, Yang Shi:
Proceedings of 4th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 13th Educational Data Mining Conference (EDM 2020), Virtual Event, July 10, 2020. CEUR Workshop Proceedings 2734, CEUR-WS.org 2020 [contents] - [e21]Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen:
Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online Event, September 26, 2020. CEUR Workshop Proceedings 2682, CEUR-WS.org 2020 [contents] - [i4]Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He:
Concept Annotation for Intelligent Textbooks. CoRR abs/2005.11422 (2020)
2010 – 2019
- 2019
- [j108]Saeed Amal, Chun-Hua Tsai, Peter Brusilovsky, Tsvi Kuflik, Einat Minkov:
Relational social recommendation: Application to the academic domain. Expert Syst. Appl. 124: 182-195 (2019) - [j107]Hamza Manzoor, Kamil Akhuseyinoglu, Jackson Wonderly, Peter Brusilovsky, Clifford A. Shaffer:
Crossing the Borders: Re-Use of Smart Learning Objects in Advanced Content Access Systems. Future Internet 11(7): 160 (2019) - [j106]Bruno De Lemos Ribeiro Pinto Cardoso, Gayane Sedrakyan, Francisco Gutiérrez, Denis Parra, Peter Brusilovsky, Katrien Verbert:
IntersectionExplorer, a multi-perspective approach for exploring recommendations. Int. J. Hum. Comput. Stud. 121: 73-92 (2019) - [j105]Rosta Farzan, Peter Brusilovsky:
Following others through an information maze: The impact of social navigation on information seeking behavior. Int. J. Hum. Comput. Stud. 124: 81-92 (2019) - [j104]Danielle H. Lee, Peter Brusilovsky:
The first impression of conference papers: Does it matter in predicting future citations? J. Assoc. Inf. Sci. Technol. 70(1): 83-95 (2019) - [j103]Yi-Ling Lin, Denis Parra, Christoph Trattner, Peter Brusilovsky:
Tag-based information access in image collections: insights from log and eye-gaze analyses. Knowl. Inf. Syst. 61(3): 1715-1742 (2019) - [c229]Jordan Barria-Pineda, Peter Brusilovsky, Daqing He:
Reading Mirror: Social Navigation and Social Comparison for Electronic Textbooks. iTextbooks@AIED 2019: 30-37 - [c228]Khushboo Thaker, Peter Brusilovsky, Daqing He:
Student Modeling with Automatic Knowledge Component Extraction for Adaptive Textbooks. iTextbooks@AIED 2019: 95-102 - [c227]Mehrdad Mirzaei, Shaghayegh Sahebi, Peter Brusilovsky:
Annotated Examples and Parameterized Exercises: Analyzing Students' Behavior Patterns. AIED (1) 2019: 308-319 - [c226]Laia Albó, Jordan Barria-Pineda, Peter Brusilovsky, Davinia Hernández-Leo:
Concept-Level Design Analytics for Blended Courses. EC-TEL 2019: 541-554 - [c225]Behnam Rahdari, Chun-Hua Tsai, Peter Brusilovsky:
Expanding Controllability of Hybrid Recommender Systems: From Positive to Negative Relevance. FLAIRS 2019: 431-435 - [c224]Saeed Amal, Mustafa Adam, Peter Brusilovsky, Einat Minkov, Tsvi Kuflik:
Enhancing explainability of social recommendation using 2D graphs and word cloud visualizations. IUI Companion 2019: 21-22 - [c223]Behnam Rahdari, Peter Brusilovsky:
User-controlled hybrid recommendation for academic papers. IUI Companion 2019: 99-100 - [c222]Jordan Barria-Pineda, Peter Brusilovsky:
Explaining educational recommendations through a concept-level knowledge visualization. IUI Companion 2019: 103-104 - [c221]