| 2026 | AAAI | A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents. | Clayton Cohn, Surya Rayala, Namrata Srivastava, Joyce Horn Fonteles, Shruti Jain, Xinying Luo, Divya Mereddy, Naveeduddin Mohammed, Gautam Biswas |
| 2026 | AIED | Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents. | Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton M. Deweese, Pamela Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma, Gautam Biswas |
| 2026 | AIED | How Teacher-Expert Collaboration Shapes the Quality of AI-Supported Scientific Inquiry Learning. | Xiaofei Zhou, Jiameng Wei, Clayton Cohn, Gautam Biswas, Guanliang Chen, Zhen Bai |
| 2026 | LAK | A Novel Approach to Evaluating the Effectiveness of Large Language Models for Multimodal Analysis of Embodied Learning in Classrooms. | Joyce Horn Fonteles, Nithin Sivakumaran, Clayton Cohn, Austin Coursey, Shoubin Yu, Elias Stengel-Eskin, Ashwin T. S., Mohit Bansal, Gautam Biswas |
| 2026 | LAK | The Role of LLM-Powered Conversational Agents in Supporting Inquiry in a Narrative-Centered Learning Environment: A Learning Analytics Study. | Namrata Srivastava, Megan Humburg, Sarah K. Burriss, Shruti Jain, Clayton Cohn, Yeo Jin Kim, Umesh Timalsina, Joshua A. Danish, Cindy E. Hmelo-Silver, Krista D. Glazewski, James C. Lester, Gautam Biswas |
| 2026 | LAK | Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning. | Jiayi Zhang, Conrad Borchers, Clayton Cohn, Namrata Srivastava, Caitlin Snyder, Siyuan Guo, Ashwin T. S., Naveeduddin Mohammed, Haley Noh, Gautam Biswas |
| 2026 | SAC | Retaining Emotions, Removing Identity: Valence-Arousal Guided De-Identification for Educational Applications. | Ashwin T. S., Nihar Sanda, Austin Coursey, Vaibhav Gupta, Gautam Biswas |
| 2025 | AIED | Challenges of Applying Computer Vision for Emotion Detection in Educational Settings: A Study on Bias. | T. S. Ashwin, Nihar Sanda, Umesh Timalsina, Gautam Biswas |
| 2025 | AIED | LLMs as Educational Analysts: Transforming Multimodal Data Traces Into Actionable Reading Assessment Reports. | Eduardo Davalos, Yike Zhang, Namrata Srivastava, Jorge Alberto Salas, Sara McFadden, Sun-Joo Cho, Gautam Biswas, Amanda Goodwin |
| 2025 | AIED | Workshop on Epistemics and Decision-Making in AI-Supported Education. | Ehsan Latif, Ninghao Liu, Gautam Biswas, Yue Yin, Xiaoming Zhai |
| 2025 | AIED | Workshop on Advancements in AI-Supported Exploratory Learning (AI4EL). | Manolis Mavrikis, Sbastien Lall, Roger Azevedo, Gautam Biswas, Jade Ma Cock, Cristina Conati, Sokratis Karkalas, Tanja Kser, James C. Lester, Ido Roll, Janan Saba, Megan Wiedbusch |
| 2025 | DX | Data-Driven Fault Detection and Isolation Enhanced with System Structural Relationships (DX Competition). | Austin Coursey, Abel Daz-Gonzlez, Marcos Quiones-Grueiro, Gautam Biswas |
| 2025 | DX | A Data-Driven Particle Filter Approach for System-Level Prediction of Remaining Useful Life. | Abel Daz-Gonzlez, Austin Coursey, Marcos Quiones-Grueiro, Gautam Biswas |
| 2025 | DX | Safe to Fly? Real-Time Flight Mission Feasibility Assessment for Drone Package Delivery Operations. | Abenezer Taye, Austin Coursey, Marcos Quiones-Grueiro, Chao Hu, Gautam Biswas, Peng Wei |
| 2025 | EDM | Interactive Workshop: Multimodal, Multiparty Learning Analytics (MMLA). | Peter W. Foltz, Gautam Biswas, Sidney D'Mello |
| 2025 | ICMLA | Offline Reinforcement Learning Benchmark for Variable Speed Limit Control with Real-World Dataset. | Yuhang Zhang, Zhiyao Zhang, Marcos Quiones-Grueiro, William Barbour, Gautam Biswas, Daniel B. Work |
| 2024 | AAAI | A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science. | Clayton Cohn, Nicole Hutchins, Tuan Le, Gautam Biswas |
| 2024 | AIED | Identifying and Mitigating Algorithmic Bias in Student Emotional Analysis. | T. S. Ashwin, Gautam Biswas |
| 2024 | AIED | Towards a Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis. | Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas |
| 2024 | AIED | A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments. | Joyce Horn Fonteles, Eduardo Davalos, T. S. Ashwin, Yike Zhang, Mengxi Zhou, Efrat Ayalon, Alicia Lane, Selena Steinberg, Gabriella Anton, Joshua A. Danish, Noel Enyedy, Gautam Biswas |
| 2024 | DX | Quantifying the Sim-To-Real Gap in UAV Disturbance Rejection. | Austin Coursey, Marcos Quiones-Grueiro, Gautam Biswas |
| 2024 | DX | Data-Driven RUL Prediction Using Performance Metrics (Short Paper). | Abel Daz-Gonzlez, Austin Coursey, Marcos Quiones-Grueiro, Chetan S. Kulkarni, Gautam Biswas |
| 2024 | EDM | Investigating the Relations between Students' Affective States and the Coherence in their Activities in Open-Ended Learning Environments. | Celestine E. Akpanoko, Ashwin T. S., Grayson Cordell, Gautam Biswas |
| 2024 | ICAART | An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments. | Timothy Darrah, Jeremy Frank, Marcos Quiones-Grueiro, Gautam Biswas |
| 2024 | ICCE | GazeViz: A Web-Based Approach for Visualizing Learner Gaze Patterns in Online Educational Environment. | Eduardo Davalos, Namrata Srivastava, Yike Zhang, Amanda Goodwin, Gautam Biswas |
| 2024 | ICCE | Designing an AI-Enhanced Timeline for Monitoring Multimodal Interactions in Embodied Learning Environments. | Joyce Horn Fonteles, Namrata Srivastava, Eduardo Davalos, Ashwin T. S., Gautam Biswas |
| 2024 | ICCE | Combining Multimodal Analyses of Students' Emotional and Cognitive States to Understand Their Learning Behaviors. | Ashwin T. S., Caitlin Snyder, Celestine E. Akpanoko, Srigowri M. P., Gautam Biswas |
| 2024 | ICMI | 3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments. | Eduardo Davalos, Yike Zhang, Ashwin T. S., Joyce Horn Fonteles, Umesh Timalsina, Gautam Biswas |
| 2024 | ICMI | Relating Students Cognitive Processes and Learner-Centered Emotions: An Advanced Deep Learning Approach. | Ashwin T. S., Gautam Biswas |
| 2024 | LAK | Exploring Confusion and Frustration as Non-linear Dynamical Systems. | Elizabeth B. Cloude, Anabil Munshi, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas |
| 2024 | LAK | Analyzing Students Collaborative Problem-Solving Behaviors in Synergistic STEM+C Learning. | Caitlin Snyder, Nicole M. Hutchins, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas |
| 2023 | AIED | A Theoretical Framework for Multimodal Learner Modeling and Performance Analysis in Experiential Learning Environments. | Caleb Vatral, Gautam Biswas, Benjamin Goldberg |
| 2023 | AIED | Prediction of Students' Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment. | Caleb Vatral, Madison Lee, Clayton Cohn, Eduardo Davalos, Daniel T. Levin, Gautam Biswas |
| 2023 | CoDIT | Model-Based Adaptation for Sample Efficient Transfer in Reinforcement Learning Control of Parameter-Varying Systems. | Ibrahim Ahmed, Marcos Quiones-Grueiro, Gautam Biswas |
| 2023 | CoDIT | Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders. | Austin Coursey, Marcos Quiones-Grueiro, Gautam Biswas, Timothy Darrah |
| 2023 | LAK | Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs. | Eduardo Davalos, Caleb Vatral, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas, Naveeduddin Mohammed, Madison Lee, Daniel T. Levin |
| 2023 | LAK | Using Teacher Dashboards to Customize Lesson Plans for a Problem-Based, Middle School STEM Curriculum. | Nicole Hutchins, Gautam Biswas |
| 2023 | SmartComp | On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data. | Austin Coursey, Marcos Quiones-Grueiro, Gautam Biswas |
| 2023 | SmartComp | Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control. | Yuhang Zhang, Marcos Quiones-Grueiro, William Barbour, Zhiyao Zhang, Joshua Scherer, Gautam Biswas, Daniel B. Work |
| 2022 | AIED | Improving Automated Evaluation of Formative Assessments with Text Data Augmentation. | Keith Cochran, Clayton Cohn, Nicole Hutchins, Gautam Biswas, Peter M. Hastings |
| 2022 | AIED | Assessing Students' Knowledge Co-construction Behaviors in a Collaborative Computational Modeling Environment. | Caitlin Snyder, Cai-Ting Wen, Gautam Biswas |
| 2022 | ICCE | Adaptive Scaffolding to Support Strategic Learning in an Open-Ended Learning Environment. | Anabil Munshi, Gautam Biswas, Eduardo Davalos, Olivia Logan, Gayathri Narasimham, Marian Rushdy |
| 2022 | ICRA | Concurrent Policy Blending and System Identification for Generalized Assistive Control. | Luke Bhan, Marcos Quiones-Grueiro, Gautam Biswas |
| 2021 | AIED | Affect-Targeted Interviews for Understanding Student Frustration. | Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas |
| 2021 | AIED | A Machine Learning-Based External Assessment Engine for GIFT to Support Team Training in Dismounted Battle Drill Operations. | Caleb Vatral, Naveeduddin Mohammed, Gautam Biswas |
| 2021 | CHI | Students' Verbalized Metacognition During Computerized Learning. | Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas |
| 2021 | CogSci | Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. | Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Anabil Munshi, Nigel Bosch, Ryan S. Baker, Yingbin Zhang, Luc Paquette, Stefan Slater, Gautam Biswas |
| 2021 | EDM | Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. | Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker |
| 2021 | ICCE | Using Qualitative Data from Targeted Interviews to Inform Rapid AIED Development. | Jaclyn Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Ryan Baker, Gautam Biswas |
| 2021 | SENSYS | Sensitivity and robustness of end-to-end data-driven approach for building performance optimization. | Avisek Naug, Marcos Quiones-Grueiro, Gautam Biswas |
| 2020 | AIED | Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments. | Anabil Munshi, Shitanshu Mishra, Ningyu Zhang, Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas |
| 2020 | AIED | Understanding Collaborative Question Posing During Computational Modeling in Science. | Caitlin Snyder, Nicole M. Hutchins, Gautam Biswas, Mona Emara, Bernard Yett, Shitanshu Mishra |
| 2020 | AIED | Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects. | Bernard Yett, Nicole Hutchins, Caitlin Snyder, Ningyu Zhang, Shitanshu Mishra, Gautam Biswas |
| 2020 | AIED | Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment. | Ningyu Zhang, Gautam Biswas, Kevin W. McElhaney, Satabdi Basu, Elizabeth A. McBride, Jennifer L. Chiu |
| 2020 | CogSci | Adapting Educational Technologies Across Learner Populations: A Usability Study with Adolescents on the Autism Spectrum. | Xiaoman Zi, Shiyao Li, Roxanne Rashedi, Marian Rushdy, Ben Lane, Shitanshu Mishra, Gautam Biswas, Amy Swanson, Amy Kinsman, Nicole Bardett, Zachary Warren, Pablo Jurez, Maithilee Kunda |
| 2020 | ICCE | Using Log and Discourse Analysis to Improve Understanding of Collaborative Programming. | Bernard Yett, Caitlin Snyder, Ningyu Zhang, Nicole Hutchins, Shitanshu Mishra, Gautam Biswas |
| 2020 | LAK | The relationship between confusion and metacognitive strategies in Betty's Brain. | Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Anabil Munshi, Gautam Biswas |
| 2020 | SIGCSE | A Hands-On Cybersecurity Curriculum Using a Robotics Platform. | Bernard Yett, Nicole Hutchins, Gordon Stein, Hamid Zare, Caitlin Snyder, Gautam Biswas, Mary Metelko, kos Ldeczi |
| 2019 | AIED | A Systematic Approach for Analyzing Students' Computational Modeling Processes in C2STEM. | Nicole Hutchins, Gautam Biswas, Shuchi Grover, Satabdi Basu, Caitlin Snyder |
| 2019 | AIED | Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes. | Anabil Munshi, Gautam Biswas |
| 2019 | AIED | Understanding Students' Model Building Strategies Through Discourse Analysis. | Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shuchi Grover |
| 2019 | AIED | Analyzing Students' Design Solutions in an NGSS-Aligned Earth Sciences Curriculum. | Ningyu Zhang, Gautam Biswas, Jennifer L. Chiu, Kevin W. McElhaney |
| 2019 | LAK | Affect Sequences and Learning in Betty's Brain. | Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang, Shamya Karumbaiah, Nigel Bosch, Anabil Munshi, Allison L. Moore, Gautam Biswas |
| 2019 | SIGCSE | Integrating Computational Modeling in K-12 STEM Classrooms. | Gautam Biswas, Nicole Hutchins, kos Ldeczi, Shuchi Grover, Satabdi Basu |
| 2019 | SIGCSE | Teaching Cybersecurity with Networked Robots. | kos Ldeczi, Mikls Marti, Hamid Zare, Bernard Yett, Nicole Hutchins, Brian Broll, Pter Vlgyesi, Michael B. Smith, Timothy Darrah, Mary Metelko, Xenofon D. Koutsoukos, Gautam Biswas |
| 2019 | SmartComp | Online Energy Management in Commercial Buildings using Deep Reinforcement Learning. | Avisek Naug, Ibrahim Ahmed, Gautam Biswas |
| 2018 | AIED | A Design-Based Approach to a Classroom-Centered OELE. | Nicole Hutchins, Gautam Biswas, Miklos Maroti, kos Ldeczi, Brian Broll |
| 2018 | AIED | Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? | Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas |
| 2018 | AIED | Understanding Students' Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment. | Ningyu Zhang, Gautam Biswas |
| 2018 | EDM | Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. | Ramkumar Rajendran, Anurag Kumar, Kelly E. Carter, Daniel T. Levin, Gautam Biswas |
| 2018 | ICCE | Studying Synergistic Learning of Physics and Computational Thinking in a Learning by Modeling Environment. | Nicole Hutchins, Gautam Biswas, Luke Conlin, Mona Emara, Shuchi Grover, Satabdi Basu, Kevin W. McElhaney |
| 2018 | ICCE | A Temporal Model of Learner Behaviors in OELEs using Process Mining. | Ramkumar Rajendran, Anabil Munshi, Mona Emara, Gautam Biswas |
| 2018 | ITS | How Are Students' Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs? | Michelle Taub, Nicholas V. Mudrick, Ramkumar Rajendran, Yi Dong, Gautam Biswas, Roger Azevedo |
| 2018 | SmartComp | Data Driven Methods for Energy Reduction in Large Buildings. | Avisek Naug, Gautam Biswas |
| 2017 | AIED | Characterizing Students' Learning Behaviors Using Unsupervised Learning Methods. | Ningyu Zhang, Gautam Biswas, Yi Dong |
| 2017 | DX | A combined model-based and data-driven approach for monitoring smart buildings. | Hamed Khorasgani, Gautam Biswas |
| 2017 | EDM | An Extended Learner Modeling Method to Assess Students' Learning Behaviors. | Yi Dong, Gautam Biswas |
| 2017 | UIC | Incident analysis and prediction using clustering and Bayesian network. | Geoffrey Pettet, Saideep Nannapaneni, Benjamin Stadnick, Abhishek Dubey, Gautam Biswas |
| 2016 | AAAI | Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science. | Satabdi Basu, Gautam Biswas, John S. Kinnebrew |
| 2016 | EDM | Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments. | Yi Dong, John S. Kinnebrew, Gautam Biswas |
| 2016 | ICCE | Modeling Learners' Metacognitive Skills in Open Ended Learning Environments. | Ramkumar Rajendran, Gautam Biswas |
| 2016 | ICCE | Detecting Metacognitive Strategies through Performance Analyses in Open-Ended Learning Environments. | Michael Tscholl, Gautam Biswas, Benjamin Goldberg, Robert A. Sottilare |
| 2016 | ICCE | Data Collection in Open Ended Learning Environment for Learning Analytics. | Michael Tscholl, Ramkumar Rajendran, Gautam Biswas, Benjamin S. Goldberg, Robert A. Sottilare |
| 2016 | ITS | Behavior Changes Across Time and Between Populations in Open-Ended Learning Environments. | Brian C. Gauch, Gautam Biswas |
| 2015 | AIED | Studying Student Use of Self-Regulated Learning Tools in an Open-Ended Learning Environment. | John S. Kinnebrew, Brian C. Gauch, James Segedy, Gautam Biswas |
| 2015 | AIED | Towards Using Coherence Analysis to Scaffold Students in Open-Ended Learning Environments. | James Ren Segedy, Gautam Biswas |
| 2015 | AIED | Coherence Over Time: Understanding Day-to-Day Changes in Students' Open-Ended Problem Solving Behaviors. | James Segedy, John S. Kinnebrew, Gautam Biswas |
| 2015 | AIED | Demonstration: Using GIFT to Support Students' Understanding of the UrbanSim Counter Insurgency Simulation. | James Ren Segedy, John S. Kinnebrew, Gautam Biswas |
| 2015 | ECMS | A Comparsion Of State Estimation Algorithms For Hybrid Systems. | Gan Zhou, Wenquan Feng, Gautam Biswas, Wenfeng Zhang, XiuMei Guan |
| 2015 | EDM | Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences. | Cheng Ye, John S. Kinnebrew, James Ren Segedy, Gautam Biswas |
| 2015 | HCI | Designing Representations and Support for Metacognition in the Generalized Intelligent Framework for Tutoring. | James Ren Segedy, John S. Kinnebrew, Benjamin S. Goldberg, Robert A. Sottilare, Gautam Biswas |
| 2015 | ICCE | Relations between modeling behavior and learn- ing in a Computational Thinking based science learning environment. | Satabdi Basu, Gautam Biswas, John S. Kinnebrew, Tazrian Rafi |
| 2015 | SAFEProcess | Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection. | Hamed Khorasgani, Gautam Biswas, Daniel E. Jung |
| 2015 | SAFEProcess | Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. | Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sren Volgmann, Andreas Bunte |
| 2015 | SAFEProcess | A Bayesian Framework for Fault Diagnosis of Hybrid Linear Systems. | Gan Zhou, Gautam Biswas, Wenquan Feng, Hongbo Zhao, XiuMei Guan |
| 2014 | EDM | Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data. | Cheng Ye, John S. Kinnebrew, Gautam Biswas |
| 2014 | HCI | Using a Cognitive/Metacognitive Task Model to Analyze Students Learning Behaviors. | Gautam Biswas, John S. Kinnebrew, James Ren Segedy |
| 2014 | ITS | Assessing Student Performance in a Computational-Thinking Based Science Learning Environment. | Satabdi Basu, John S. Kinnebrew, Gautam Biswas |
| 2014 | PAKDD | A Differential Approach for Identifying Important Student Learning Behavior Patterns with Evolving Usage over Time. | John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas, Chih-Kai Chang |
| 2013 | AIED | A Computational Thinking Approach to Learning Middle School Science. | Satabdi Basu, Gautam Biswas |
| 2013 | AIED | Workshop on Scaffolding in Open-Ended Learning Environments (OELEs). | Gautam Biswas, Roger Azevedo, Valerie Shute, Susan Bull |
| 2013 | AIED | Digital Games and Science Learning: Design Principles and Processes to Augment Commercial Game Design Conventions. | Douglas B. Clark, Stephen S. Killingsworth, Mario Martinez-Garza, Grant Van Eaton, Gautam Biswas, John S. Kinnebrew, Pratim Sengupta, Kara Krinks, Deanne Adams, Haifeng Zhang, James Hughes |
| 2013 | AIED | Adaptive Multi-Agent Architecture to Track Students' Self-Regulated Learning. | Babak Khosravifar, Roger Azevedo, Reza Feyzi-Behnagh, Michelle Taub, Gautam Biswas, John S. Kinnebrew |
| 2013 | AIED | A Differential Temporal Interestingness Measure for Identifying the Learning Behavior Effects of Scaffolding. | John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas |
| 2013 | AIED | Guided Skill Practice as an Adaptive Scaffolding Strategy in Open-Ended Learning Environments. | James Segedy, Gautam Biswas, Emily Feitl Blackstock, Akailah Jenkins |
| 2013 | AIED | Suggest-Assert-Modify: A Taxonomy of Adaptive Scaffolds in Computer-Based Learning Environments. | James Segedy, Kirk M. Loretz, Gautam Biswas |
| 2013 | AIED | Workshop on Self-Regulated Learning in Educational Technologies (SRL@ET): Supporting, Modeling, Evaluating, and Fostering Metacognition with Computer-Based Learning Environments. | Amali Weerasinghe, Benedict du Boulay, Gautam Biswas |
| 2013 | CogSci | Analyzing Students' Metacognitive Strategies in Open-Ended Learning Environments. | Gautam Biswas, John S. Kinnebrew, James Segedy |
| 2013 | CSEDU | CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling. | Satabdi Basu, Amanda Dickes, John S. Kinnebrew, Pratim Sengupta, Gautam Biswas |
| 2013 | ECMS | Modeling And Simulation Semantics For Building Large-Scale Multi-Domain Embedded Systems. | Joshua D. Carl, Zsolt Lattman, Gautam Biswas |
| 2013 | EDM | Mining Temporally-Interesting Learning Behavior Patterns. | John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas |
| 2013 | HRI | A transition model for cognitions about agency. | Daniel T. Levin, Julie A. Adams, Megan M. Saylor, Gautam Biswas |
| 2013 | ICCE | How do students' learning behaviors evolve in Scaffolded Open-Ended Learning Environments? | Gautam Biswas, John S. Kinnebrew, Daniel L. C. Mack |
| 2013 | ICALT | An Investigation of the Effect of Competition on the Way Students Engage in Game-Based Deliberate Practice. | Maria Mendiburo, Laura K. Williams, James Segedy, Mason Wright, Gautam Biswas, Ted S. Hasselbring |
| 2013 | LAK | Model-driven assessment of learners in open-ended learning environments. | James Segedy, Kirk M. Loretz, Gautam Biswas |
| 2012 | CSEDU | Integrating Computational Thinking with K-12 Science Education - A Theoretical Framework. | Pratim Sengupta, John S. Kinnebrew, Gautam Biswas, Douglas B. Clark |
| 2012 | DCOSS | A Cross-Layer Design for Decentralized Detection in Tree Sensor Networks. | Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas |
| 2012 | EDM | Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning. | Franois Bouchet, John S. Kinnebrew, Gautam Biswas, Roger Azevedo |
| 2012 | EDM | Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution. | John S. Kinnebrew, Gautam Biswas |
| 2012 | ICCE | A Science Learning Environment using a Computational Thinking Approach. | Satabdi Basu, John S. Kinnebrew, Amanda Dickes, Amy Voss Farris, Pratim Sengupta, Jaymes Winger, Gautam Biswas |
| 2012 | ITS | Interactive Virtual Representations, Fractions, and Formative Feedback. | Maria Mendiburo, Brian Sulcer, Gautam Biswas, Ted S. Hasselbring |
| 2012 | ITS | Relating Student Performance to Action Outcomes and Context in a Choice-Rich Learning Environment. | James Segedy, John S. Kinnebrew, Gautam Biswas |
| 2011 | AIED | Scaffolding to Support Learning of Ecology in Simulation Environments. | Satabdi Basu, Gautam Biswas, Pratim Sengupta |
| 2011 | AIED | Virtual Manipulatives in a Computer-Based Learning Environment: How Experimental Data Informs the Design of Future Systems. | Maria Mendiburo, Gautam Biswas |
| 2011 | AIED | Investigating the Relationship between Dialogue Responsiveness and Learning in a Teachable Agent Environment. | James Segedy, John S. Kinnebrew, Gautam Biswas |
| 2011 | AIED | Knowledge Construction with Causal Concept Maps in a Teachable Agent Environment. | James Segedy, John S. Kinnebrew, Gautam Biswas |
| 2011 | DCOSS | Transmission Control Policy design for decentralized detection in sensor networks. | Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas |
| 2011 | FUSION | Transmission control policy design for decentralized detection in tree topology sensor networks. | Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas |
| 2011 | HCI | The Interaction of Children's Concepts about Agents and Their Ability to Use an Agent-Based Tutoring System. | Alicia M. Hymel, Daniel T. Levin, Jonathan Barrett, Megan M. Saylor, Gautam Biswas |
| 2011 | ICCE | Multiple representations to support learning of complex ecological processes in simulation environments. | Satabdi Basu, Gautam Biswas |
| 2011 | ICCE | A Scaffolding framework to support learning in multi-agent based simulation environments. | Satabdi Basu, Gautam Biswas |
| 2010 | EDM | Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models. | Hogyeong Jeong, Gautam Biswas, Julie Johnson, Larry Howard |
| 2010 | ICAART | Coordination of Planning and Scheduling Techniques for a Distributed, Multi-level, Multi-agent System. | John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas, Douglas C. Schmidt |
| 2010 | ITS | Are ILEs Ready for the Classroom? Bringing Teachers into the Feedback Loop. | James Segedy, Brian Sulcer, Gautam Biswas |
| 2009 | AIED | A Reconfigurable Architecture for Building Intelligent Learning Environments. | Joseph G. Linn, James Segedy, Hogyeong Jeong, Benjamin Podgursky, Gautam Biswas |
| 2009 | CISS | Maximum likelihood detection with intermittent observations. | Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas |
| 2009 | ECMS | Generating Possible Conflicts From Bond Graphs Using Temporal Causal Graphs. | Anbal Bregn, Belarmino Pulido, Gautam Biswas, Xenofon D. Koutsoukos |
| 2009 | ISORC | Intelligent Resource Management and Dynamic Adaptation in a Distributed Real-time and Embedded Sensor Web System. | John S. Kinnebrew, William Otte, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt |
| 2008 | EDM | Mining Student Behavior Models in Learning-by-Teaching Environments. | Hogyeong Jeong, Gautam Biswas |
| 2008 | ICALT | Bringing CBLEs into Classrooms: Experiences with the Betty's Brain System. | John Wagster, Henry Kwong, Gautam Biswas, Daniel L. Schwartz |
| 2008 | ISORC | Toward Effective Multi-Capacity Resource Allocation in Distributed Real-Time and Embedded Systems. | Nilabja Roy, John S. Kinnebrew, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt |
| 2008 | ITS | Using Hidden Markov Models to Characterize Student Behaviors in Learning-by-Teaching Environments. | Hogyeong Jeong, Amit Gupta, Rod D. Roscoe, John Wagster, Gautam Biswas, Daniel L. Schwartz |
| 2007 | AAAI | A Qualitative Approach to Multiple Fault Isolation in Continuous Systems. | Matthew J. Daigle, Xenofon D. Koutsoukos, Gautam Biswas |
| 2007 | AIED | Workshop on Metacognition and Self-Regulated Learning in ITSs. | Ido Roll, Vincent Aleven, Roger Azevedo, Ryan Shaun Joazeiro de Baker, Gautam Biswas, Cristina Conati, Amanda Harris, Rosemary Luckin, Antonija Mitrovic, Tom Murray, Barbara White, Philip H. Winne |
| 2007 | AIED | Effect of Metacognitive Support on Student Behaviors in Learning by Teaching Environments. | Jason Tan, John Wagster, Yanna Wu, Gautam Biswas |
| 2007 | ISADS | A Decision-Theoretic Planner with Dynamic Component Reconfiguration for Distributed Real-Time Applications. | John S. Kinnebrew, Ankit Gupta, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt |
| 2006 | AAAI | A Decision-Theoretic Planner with Dynamic Compound Reconfiguration for Distributed Real-Time Applications. | John S. Kinnebrew, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt |
| 2006 | ICRA | Distributed Diagnosis of Coupled Mobile Robots. | Matthew J. Daigle, Xenofon D. Koutsoukos, Gautam Biswas |
| 2006 | ITS | The Role of Feedback in Preparation for Future Learning: A Case Study in Learning by Teaching Environments. | Jason Tan, Gautam Biswas |
| 2006 | SAC | A framework for (re)deploying components in distributed real-time and embedded systems. | Nishanth Shankaran, Jaiganesh Balasubramanian, Douglas C. Schmidt, Gautam Biswas, Patrick J. Lardieri, Ed Mulholland, Thomas Damiano |
| 2005 | AIED | Teaching about Dynamic Processes A Teachable Agents Approach. | Ruchi Gupta, Yanna Wu, Gautam Biswas |
| 2005 | AIED | Computer Games as Intelligent Learning Environments: A River Ecosystem Adventure. | Jason Tan, Christopher D. Beers, Ruchi Gupta, Gautam Biswas |
| 2004 | ICALT | A Multi-Agent Architecture Implementation of Learning by Teaching Systems. | Karun Viswanath, Bilikiss Adebiyi, Krittaya Leelawong, Gautam Biswas |
| 2004 | ITS | Developing Learning by Teaching Environments That Support Self-Regulated Learning. | Gautam Biswas, Krittaya Leelawong, Kadira Belynne, Karun Viswanath, Daniel L. Schwartz, Joan M. Davis |
| 2004 | WSC | Simulating Growth Dynamics in Complex Adaptive Supply Networks. | Surya Dev Pathak, David M. Dilts, Gautam Biswas |
| 2003 | IAAI | Teachable Agents: Learning by Teaching Environments for Science Domains. | Krittaya Leelawong, Karun Viswanath, Joan M. Davis, Gautam Biswas, Nancy Vye, Kadira Belynne, John D. Bransford |
| 2003 | IJCAI | Model-based Diagnosis of Hybrid Systems. | Sriram Narasimhan, Gautam Biswas |
| 2003 | IUI | Intelligent user interface design for teachable agent systems. | Joan M. Davis, Krittaya Leelawong, Kadira Belynne, Bobby Bodenheimer, Gautam Biswas, Nancy Vye, John D. Bransford |
| 2003 | IUI | Intelligent user interface design for teachable agent systems. | Joan M. Davis, Krittaya Leelawong, Kadira Belynne, Gautam Biswas, Nancy Vye, Bobby Bodenheimer, John D. Bransford |
| 2003 | SMC | Discrete abstraction and supervisory control of switching systems. | Rong Su, Sherif Abdelwahed, Gabor Karsai, Gautam Biswas |
| 2003 | WSC | Next generation modeling III - agents: a multi-paradigm simulator for simulating complex adaptive supply chain networks. | Surya Dev Pathak, David M. Dilts, Gautam Biswas |
| 2001 | IDA | Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering - A Preliminary Study. | Cen Li, Gautam Biswas, Mike B. Dale, Pat Dale |
| 2000 | AAAI | Bayesian Fault Detection and Diagnosis in Dynamic Systems. | Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas |
| 2000 | ICML | A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models. | Cen Li, Gautam Biswas |
| 2000 | SMC | Improving clustering with hidden Markov models using Bayesian model selection. | Cen Li, Gautam Biswas |
| 2000 | SMC | Building observers to address fault isolation and control problems in hybrid dynamic systems. | Sriram Narasimhan, Gautam Biswas, Gabor Karsai, Tal Pasternak, Feng Zhao |
| 1999 | AAAI | Model-based Support for Mutable Parametric Design Optimization. | Ravi Kapadia, Gautam Biswas |
| 1999 | IDA | Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification. | Cen Li, Gautam Biswas |
| 1998 | AAAI | An Ontology for Transitions in Physical Dynamic Systems. | Pieter J. Mosterman, Feng Zhao, Gautam Biswas |
| 1997 | AAAI | Monitoring, Prediction, and Fault Isolation in Dynamic Physical Systems. | Pieter J. Mosterman, Gautam Biswas |
| 1997 | AISTATS | Conceptual Clustering with Numeric-and-Nominal Mixed Data - A New Similarity Based System. | Cen Li, Gautam Biswas |
| 1997 | IJCAI | Formal Specifications for Hybrid Dynamical Systems. | Pieter J. Mosterman, Gautam Biswas |
| 1996 | AAAI | A Formal Hybrid Modeling Scheme for Handling Discontinuities in Physical System Models. | Pieter J. Mosterman, Gautam Biswas |
| 1995 | KDD | Knowledge-Based Scientific Discovery in Geological Databases. | Cen Li, Gautam Biswas |
| 1993 | IJCAI | A Formal Modeling Scheme for Continuous Systems: Focus on Diagnosis. | Gautam Biswas, Xudong Yu |
| 1992 | ICML | Conceptual Clustering with Systematic Missing Values. | Jerry B. Weinberg, Gautam Biswas, Glenn R. Koller |
| 1991 | ICML | Conceptual Clustering and Exploratory Data Analysis. | Gautam Biswas, Jerry B. Weinberg, Qian Yang, Glenn R. Koller |
| 1989 | IJCAI | The Thought Experiment Approach to Qualitative Physics. | David L. Hibler, Gautam Biswas |
| 1989 | SMC | Qualitative modeling in engineering applications. | Gautam Biswas, William J. Hagins, Kenneth A. Debelak |
| 1989 | SMC | Adventures in qualitative modeling-a qualitative heart model. | Jerry B. Weinberg, Gautam Biswas, Lori A. Weinberg |
| 1988 | ISMIS | A Linuistic Transitive Closure Method for Completion and Consistency of Uncertain Knowledge. | Gautam Biswas, James C. Bezdek |
| 1987 | ISMIS | MIDST: An Expert System Shell for Mixed Initiative Reasoning. | Gautam Biswas, Tejwansh S. Anand |
| 1987 | ISMIS | Towards the Design of a Knowledge Based System for Hypercarbon Play Analysis. | Miao-Li Pai, Gautam Biswas, Christopher G. St. C. Kendall, James C. Bezdek |
| 1987 | UAI | Using the Dempster-Shafer Scheme in a Mixed-Initiative Expert System Shell. | Gautam Biswas, Tejwansh S. Anand |
| 1986 | ISMIS | A knowledge-based approach to online document retrieval system design. | Gautam Biswas, James C. Bezdek, Robert L. Oakman |