Informal In-Game Help Practices in Massive Multiplayer Online Games. - Paul Okopny; Ilya Musabirov; Daniel Alexandrov (SocInfo Workshops, 2014)

Online Communication in Apartment Buildings. - Vadim Voskresenskiy; Kirill Sukharev; Ilya Musabirov; Daniel Alexandrov (SocInfo Workshops, 2014)

Analyzing Chat Logs in Online Games for Tutorial Improvement. - Ilya Musabirov; Paul Okopny; Denis Bulygin (CHI PLAY, 2015)

Topic Modeling for Answers Detection in Online Game Chats. - Alexander Sirotkin 002; Ilya Musabirov; Paul Okopny; Denis Bulygin; Vladimir Ivanov 001 (AIST (Supplement), 2016)

Enabling Information Access in Virtual Learning Environment: The Case of Data Science Minor. - Ilya Musabirov; Paul Okopny; Stanislav Pozdniakov (NordiCHI, 2016)

Virtual caucasus on VK social networking site. - Daniel Alexandrov; Alexey Gorgadze; Ilya Musabirov (WebSci, 2016)

Educational migration from Russia to China: social network data. - Daniel Alexandrov; Viktor Karepin; Ilya Musabirov (WebSci, 2016)

Private and public online groups in apartment buildings of St. Petersburg. - Vadim Voskresenskiy; Ilya Musabirov; Daniel Alexandrov (WebSci, 2016)

Online Communication of eSports Viewers: Topic Modeling Approach. - Ksenia Konstantinova; Denis Bulygin; Paul Okopny; Ilya Musabirov (ACE, 2017)

Deconstructing Cosmetic Virtual Goods Experiences in Dota 2. - Ilya Musabirov; Denis Bulygin; Paul Okopny; Alexander Sirotkin 002 (CHI, 2017)

Trajectories of student interaction with learning resources in blended learning: the case of data science minor. - Ilya Musabirov; Alina Bakhitova (Koli Calling, 2017)

Event-driven Spectators' Communication in Massive eSports Online Chats. - Ilya Musabirov; Denis Bulygin; Paul Okopny; Ksenia Konstantinova (CHI Extended Abstracts, 2018)

Code-sharing networks of non-STEM students: the case of data science minor. - Ilya Musabirov; Alina Bakhitova (ITiCSE, 2018)

Educational Migration from Russia to the Nordic Countries, China and the Middle East. Social Media Data. - Daniel Alexandrov; Viktor Karepin; Ilya Musabirov; Daria Chuprina (WWW (Companion Volume), 2018)

Between an Arena and a Sports Bar: Online Chats of eSports Spectators. - Ilya Musabirov; Denis Bulygin; Paul Okopny; Ksenia Konstantinova (CoRR, 2018)

Media Metrics in Esports: The Case of Dota 2. - Ekaterina Marchenko; Ilya Musabirov (CHI PLAY (Companion), 2019)

Predictors of Academic Achievement in Blended Learning: the Case of Data Science Minor. - Ilya Musabirov; Stanislav Pozdniakov; Ksenia Tenisheva (Int. J. Emerg. Technol. Learn., 2019)

Teaching Undergraduate Sociologists Modeling and Computational Thinking. - Ilya Musabirov; Vsevolod Suschevskiy (SIGCSE, 2020)

Prototyping Text Mining and Network Analysis Tools to Support Netnographic Student Projects. - Ilya Musabirov; Denis Bulygin (Int. J. Emerg. Technol. Learn., 2020)

Engaging Students with Extra Tasks: Motivational Design and Student-Generated Improvements. - Ilya Musabirov; Joseph Jay Williams (LSGCS@L@S, 2022)

Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk. - Harsh Kumar; Ilya Musabirov; Jiakai Shi; Adele Lauzon; Kwan Kiu Choy; Ofek Gross; Dana Kulzhabayeva; Joseph Jay Williams (CoRR, 2022)

Exploring the Use of Large Language Models for Improving the Awareness of Mindfulness. - Harsh Kumar; Yiyi Wang; Jiakai Shi; Ilya Musabirov; Norman A. S. Farb; Joseph Jay Williams (CHI Extended Abstracts, 2023)

Using A/B Testing as a Pedagogical Tool for Iterative Design in HCI Classrooms. - Mohi Reza; Ilya Musabirov; Nathan Laundry; Michael Liut; Joseph Jay Williams (EduCHI, 2023)

Challenges and Opportunities of Infrastructure-Enabled Experimental Research in Computer Science Education. - Ilya Musabirov (SIGCSE (2), 2023)

A Case Study in Opportunities for Adaptive Experiments to Enable Rapid Continuous Improvement. - Ilya Musabirov; Angela M. Zavaleta Bernuy; Michael Liut; Joseph Jay Williams (SIGCSE (2), 2023)

Co-aligning User-Centered Design and Software Engineering Courses: A Case Study. - Alena Suvorova; Ilya Musabirov; Denis Bulygin; Rustem Faidrakhmanov (SIGCSE (2), 2023)

Designing, Deploying, and Analyzing Adaptive Educational Field Experiments. - Joseph Jay Williams; Nathan Laundry; Ilya Musabirov; Angela M. Zavaleta Bernuy; Michael Liut (SIGCSE (2), 2023)

ABScribe: Rapid Exploration of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. - Mohi Reza; Nathan Laundry; Ilya Musabirov; Peter Dushniku; Zhi Yuan "Michael" Yu; Kashish Mittal; Tovi Grossman; Michael Liut; Anastasia Kuzminykh; Joseph Jay Williams (CoRR, 2023)

Opportunities for Adaptive Experiments to Enable Continuous Improvement that Trades-off Instructor and Researcher Incentives. - Ilya Musabirov; Angela M. Zavaleta Bernuy; Pan Chen; Michael Liut; Joseph Jay Williams (CoRR, 2023)

Impact of Guidance and Interaction Strategies for LLM Use on Learner Performance and Perception. - Harsh Kumar; Ilya Musabirov; Mohi Reza; Jiakai Shi; Anastasia Kuzminykh; Joseph Jay Williams; Michael Liut (CoRR, 2023)

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health. - Harsh Kumar; Tong Li; Jiakai Shi; Ilya Musabirov; Rachel Kornfield; Jonah Meyerhoff; Ananya Bhattacharjee; Chris J. Karr; Theresa Nguyen; David C. Mohr; Anna N. Rafferty; Sofia S. Villar; et al. (AAAI, 2024)

ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models. - Mohi Reza; Nathan M. Laundry; Ilya Musabirov; Peter Dushniku; Zhi Yuan "Michael" Yu; Kashish Mittal; Tovi Grossman; Michael Liut; Anastasia Kuzminykh; Joseph Jay Williams (CHI, 2024)

Supporting Self-Reflection at Scale with Large Language Models: Insights from Randomized Field Experiments in Classrooms. - Harsh Kumar; Ruiwei Xiao; Benjamin Lawson; Ilya Musabirov; Jiakai Shi; Xinyuan Wang; Huayin Luo; Joseph Jay Williams; Anna N. Rafferty; John C. Stamper; Michael Liut (L@S, 2024)

Opportunities for Adaptive Experiments to Enable Continuous Improvement in Computer Science Education. - Ilya Musabirov; Angela M. Zavaleta Bernuy; Pan Chen; Michael Liut; Joseph Jay Williams (WCCCE, 2024)

Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust. - Harsh Kumar; Ilya Musabirov; Mohi Reza; Jiakai Shi; Xinyuan Wang; Joseph Jay Williams; Anastasia Kuzminykh; Michael Liut (Proc. ACM Hum. Comput. Interact., 2024)

Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries. - Harsh Kumar; Mohi Reza; Jeb Thomas-Mitchell; Ilya Musabirov; Lisa Zhang; Michael Liut (DataEd@SIGMOD, 2025)

Integrating Adaptive Interventions into Learning Engineering Workflows. - Ilya Musabirov (HCI (47), 2025)

Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. - Ilya Musabirov; Mohi Reza; Haochen Song; Steven Moore; Pan Chen; Harsh Kumar; Tong Li; John C. Stamper; Norman L. Bier; Anna N. Rafferty; Thomas W. Price; Nina Deliu; et al. (LAK, 2025)

WAPTS: A Weighted Allocation Probability Adjusted Thompson Sampling Algorithm for High-Dimensional and Sparse Experiment Settings. - Haochen Song; Ilya Musabirov; Ananya Bhattacharjee; Audrey Durand; Meredith Franklin; Anna N. Rafferty; Joseph Jay Williams (CoRR, 2025)