Robin Schmucker

According to our database, Robin Schmucker authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Ruffle&Riley: From Lesson Text to Conversational Tutoring.

Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Automated Generation and Tagging of Knowledge Components from Multiple-Choice Questions.

Steven Moore, Robin Schmucker, Tom M. Mitchell, John C. Stamper

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning.

Frederik Baucks, Robin Schmucker, Conrad Borchers, Zachary A. Pardos, Laurenz Wiskott

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Gaining Insights into Course Difficulty Variations Using Item Response Theory.

Frederik Baucks, Robin Schmucker, Laurenz Wiskott

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Ruffle &Riley: Insights from Designing and Evaluating a Large Language Model-Based Conversational Tutoring System.

Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Ruffle&Riley: Towards the Automated Induction of Conversational Tutoring Systems.

Robin Schmucker, Meng Xia, Amos Azaria, Tom M. Mitchell

CoRR, 2023

NEOLAF, an LLM-powered neural-symbolic cognitive architecture.

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

CoRR, 2023

KC-Finder: Automated Knowledge Component Discovery for Programming Problems.

Yang Shi, Robin Schmucker, Min Chi, Tiffany Barnes, Thomas W. Price

Proceedings of the 16th International Conference on Educational Data Mining, 2023

Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements.

Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell

Proceedings of the Responsive and Sustainable Educational Futures, 2023

2022

Transferable Student Performance Modeling for Intelligent Tutoring Systems.

Robin Schmucker, Tom M. Mitchell

CoRR, 2022

2021

Combination treatment optimization using a pan-cancer pathway model.

Robin Schmucker, Gabriele Farina, James R. Faeder, Fabian Fröhlich, Ali Sinan Saglam, Tuomas Sandholm

PLoS Comput. Biol., 2021

Assessing the Knowledge State of Online Students - New Data, New Approaches, Improved Accuracy.

Robin Schmucker, Jingbo Wang, Shijia Hu, Tom M. Mitchell

CoRR, 2021

Multi-objective Asynchronous Successive Halving.

Robin Schmucker, Michele Donini, Muhammad Bilal Zafar, David Salinas, Cédric Archambeau

CoRR, 2021

Fair Bayesian Optimization.

Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games.

Gabriele Farina, Robin Schmucker, Tuomas Sandholm

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2018

Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors.

Robin Schmucker, Chenghui Zhou, Manuela Veloso

Proceedings of the RoboCup 2018: Robot World Cup XXII [Montreal, 2018

Towards a Robust Interactive and Learning Social Robot.

Michiel de Jong, Kevin Zhang, Aaron M. Roth, Travers Rhodes, Robin Schmucker, Chenghui Zhou, Sofia Ferreira, João Cartucho, Manuela M. Veloso

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018