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Robin Schmucker

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2026
[c17]
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Yerin Kwak, Robin Schmucker, Zachary A. Pardos:
Strengthening Course Transfer Pathways Using Graph-Theoretic Articulation Networks. LAK 2026: 955-961
[c16]
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Conrad Borchers, Robin Schmucker, Ashutosh Tiwari, Zachary A. Pardos:
Push and Pull in Community College Cross-Enrollment: Remoteness, Articulation, and Student Mobility. L@S 2026: 390-394
[i17]
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  - journals/corr/abs-2604-22939
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Mengyu Wang, Xiaoying Zhi, Zhiyi Li, Robin Schmucker, Shay B. Cohen, Tiejun Ma, Fran Silavong:
Self Knowledge Re-expression: A Fully Local Method for Adapting LLMs to Tasks Using Intrinsic Knowledge. CoRR abs/2604.22939 (2026)
[i16]
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Conrad Borchers, Robin Schmucker, Ashutosh Tiwari, Zachary A. Pardos:
Push and Pull in Community College Cross-Enrollment: Remoteness, Articulation, and Student Mobility. CoRR abs/2605.16992 (2026)
2025
[c15]
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Sitong Pan, Robin Schmucker, Bernardo García Bulle Bueno, Salome Aguilar Llanes, Fernanda Albo Alarcón, Hangxiao Zhu, Adam Teo, Meng Xia:
TutorUp: What If Your Students Were Simulated? Training Tutors to Address Engagement Challenges in Online Learning. CHI 2025: 20:1-20:18
[c14]
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Meng Xia, Robin Schmucker, Conrad Borchers, Vincent Aleven:
Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps. EC-TE (1) 2025: 549-563
[c13]
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Aylin Ozturk, Robin Schmucker, Tom M. Mitchell, Alper Tolga Kumtepe:
Heterogeneous Treatment Effects of Learning Analytics Dashboards: Do All Learners Benefit Equally? EDM 2025
[i15]
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  - journals/corr/abs-2502-16178
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Sitong Pan, Robin Schmucker, Bernardo García Bulle Bueno, Salome Aguilar Llanes, Fernanda Albo Alarcón, Hangxiao Zhu, Adam Teo, Meng Xia:
TutorUp: What If Your Students Were Simulated? Training Tutors to Address Engagement Challenges in Online Learning. CoRR abs/2502.16178 (2025)
[i14]
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  - journals/corr/abs-2503-05782
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Gati Aher, Robin Schmucker, Tom M. Mitchell, Zachary C. Lipton:
AI Mentors for Student Projects: Spotting Early Issues in Computer Science Proposals. CoRR abs/2503.05782 (2025)
[i13]
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  - journals/corr/abs-2503-10533
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Robin Schmucker, Steven Moore:
The Impact of Item-Writing Flaws on Difficulty and Discrimination in Item Response Theory. CoRR abs/2503.10533 (2025)
[i12]
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  - journals/corr/abs-2506-17577
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Meng Xia, Robin Schmucker, Conrad Borchers, Vincent Aleven:
Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps. CoRR abs/2506.17577 (2025)
[i11]
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  - journals/corr/abs-2508-00270
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Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell:
Learning to Optimize Feedback for One Million Students: Insights from Multi-Armed and Contextual Bandits in Large-Scale Online Tutoring. CoRR abs/2508.00270 (2025)
[i10]
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  - journals/corr/abs-2508-13218
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Frederik Baucks, Robin Schmucker, Laurenz Wiskott:
The Course Difficulty Analysis Cookbook. CoRR abs/2508.13218 (2025)
2024
[j2]
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Robin Schmucker:
Harnessing Machine Learning and Generative AI: A New Era in Online Tutoring Systems. XRDS 31(1): 40-45 (2024)
[c12]
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Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. AIED (1) 2024: 75-90
[c11]
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Frederik Baucks, Robin Schmucker, Laurenz Wiskott:
Gaining Insights into Course Difficulty Variations Using Item Response Theory. LAK 2024: 450-461
[c10]
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Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. L@S 2024: 122-133
[c9]
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Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott:
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. L@S 2024: 165-176
[c8]
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Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: From Lesson Text to Conversational Tutoring. L@S 2024: 547-549
[i9]
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  - journals/corr/abs-2404-17460
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Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System. CoRR abs/2404.17460 (2024)
[i8]
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  - journals/corr/abs-2405-20526
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Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper:
Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions. CoRR abs/2405.20526 (2024)
[i7]
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  - journals/corr/abs-2406-04348
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Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott:
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning. CoRR abs/2406.04348 (2024)
2023
[c7]
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Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell:
Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements. EC-TEL 2023: 383-398
[c6]
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Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price:
KC-Finder: Automated Knowledge Component Discovery for Programming Problems. EDM 2023
[i6]
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  - journals/corr/abs-2308-03990
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Richard Jiarui Tong, Cassie Chen Cao, Timothy Xueqian Lee, Guodong Zhao, Ray Wan, Feiyue Wang, Xiangen Hu, Robin Schmucker, Jinsheng Pan, Julian Quevedo, Yu Lu:
NEOLAF, an LLM-powered neural-symbolic cognitive architecture. CoRR abs/2308.03990 (2023)
[i5]
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  - journals/corr/abs-2310-01420
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Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell:
Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems. CoRR abs/2310.01420 (2023)
2022
[c5]
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Robin Schmucker, Tom M. Mitchell:
Transferable Student Performance Modeling for Intelligent Tutoring Systems. ICCE 2022
[i4]
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  - journals/corr/abs-2202-03980
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Robin Schmucker, Tom M. Mitchell:
Transferable Student Performance Modeling for Intelligent Tutoring Systems. CoRR abs/2202.03980 (2022)
2021
[j1]
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Robin Schmucker, Gabriele Farina, James R. Faeder, Fabian Fröhlich, Ali Sinan Saglam, Tuomas Sandholm:
Combination treatment optimization using a pan-cancer pathway model. PLoS Comput. Biol. 17(12) (2021)
[c4]
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Gabriele Farina, Robin Schmucker, Tuomas Sandholm:
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. AAAI 2021: 5372-5380
[c3]
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Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau:
Fair Bayesian Optimization. AIES 2021: 854-863
[i3]
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  - journals/corr/abs-2103-04546
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Gabriele Farina, Robin Schmucker, Tuomas Sandholm:
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. CoRR abs/2103.04546 (2021)
[i2]
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  - journals/corr/abs-2106-12639
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Robin Schmucker, Michele Donini, Muhammad Bilal Zafar, David Salinas, Cédric Archambeau:
Multi-objective Asynchronous Successive Halving. CoRR abs/2106.12639 (2021)
[i1]
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  - journals/corr/abs-2109-01753
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Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell:
Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy. CoRR abs/2109.01753 (2021)

2010 – 2019

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2018
[c2]
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Michiel de Jong, Kevin Zhang, Aaron M. Roth, Travers Rhodes, Robin Schmucker, Chenghui Zhou, Sofia Ferreira, João Cartucho, Manuela M. Veloso:
Towards a Robust Interactive and Learning Social Robot. AAMAS 2018: 883-891
[c1]
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Robin Schmucker, Chenghui Zhou, Manuela Veloso:
Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. RoboCup 2018: 299-310

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