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ORCIDGautam Biswas
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2020 – today
- 2024
[j94]James C. Lester
, Mohit Bansal, Gautam Biswas, Cindy E. Hmelo-Silver, Jeremy Roschelle, Jonathan P. Rowe:
The AI Institute for Engaged Learning. AI Mag. 45(1): 69-76 (2024)- [j93]Nicole M. Hutchins, Gautam Biswas:
Co-designing teacher support technology for problem-based learning in middle school science. Br. J. Educ. Technol. 55(3): 802-822 (2024) - [j92]Cai-Ting Wen, Chen-Chung Liu, Ching-Yuan Li, Ming-Hua Chang, Shih-Hsun Fan Chiang, Hung-Ming Lin, Fu-Kwun Hwang, Gautam Biswas:
The learning analytics of computational scientific modeling with self-explanation for subgoals and demonstration scaffolding. Comput. Educ. 215: 105043 (2024) - [c228]Clayton Cohn, Nicole Hutchins, Tuan Le, Gautam Biswas:
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science. AAAI 2024: 23182-23190 - [c227]Joyce Horn Fonteles, Celestine E. Akpanoko, Pamela J. Wisniewski, Gautam Biswas:
Promoting Equitable Learning Outcomes for Underserved Students in Open-Ended Learning Environments. IDC 2024: 307-321 - [c226]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:
A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments. AIED (2) 2024: 3-16 - [c225]Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas:
Towards a Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis. AIED Companion (2) 2024: 11-19 - [c224]T. S. Ashwin, Gautam Biswas:
Identifying and Mitigating Algorithmic Bias in Student Emotional Analysis. AIED (2) 2024: 89-103 - [c223]Austin Coursey, Allan Zhang, Marcos Quiñones-Grueiro, Gautam Biswas:
Hybrid Control Framework of UAVs Under Varying Wind and Payload Conditions. ACC 2024: 1543-1549 - [c222]Timothy Darrah, Jeremy Frank, Marcos Quiñones-Grueiro, Gautam Biswas:
An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments. ICAART (1) 2024: 289-296 - [c221]Elizabeth B. Cloude, Anabil Munshi, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas:
Exploring Confusion and Frustration as Non-linear Dynamical Systems. LAK 2024: 241-252 - [c220]Caitlin Snyder, Nicole M. Hutchins, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas:
Analyzing Students Collaborative Problem-Solving Behaviors in Synergistic STEM+C Learning. LAK 2024: 540-550 - [i18]Clayton Cohn, Nicole Hutchins, Tuan Le, Gautam Biswas:
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science. CoRR abs/2403.14565 (2024) - [i17]Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas:
Towards A Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis. CoRR abs/2405.03677 (2024) - [i16]Joyce Horn Fonteles, Eduardo Davalos, Ashwin T. S., Yike Zhang, Mengxi Zhou, Efrat Ayalon, Alicia Lane, Selena Steinberg, Gabriella Anton, Joshua A. Danish, Noel Enyedy, Gautam Biswas:
A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments. CoRR abs/2405.06203 (2024) - [i15]Austin Coursey, Junyi Ji, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel B. Work:
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. CoRR abs/2406.15283 (2024) - [i14]Yuhang Zhang, Zhiyao Zhang, Marcos Quiñones-Grueiro, William Barbour, Clay Weston, Gautam Biswas, Daniel B. Work:
Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers. CoRR abs/2407.08021 (2024) - [i13]Zhiyao Zhang, George Gunter, Marcos Quiñones-Grueiro, Yuhang Zhang, William Barbour, Gautam Biswas, Daniel B. Work:
Phase Re-service in Reinforcement Learning Traffic Signal Control. CoRR abs/2407.14775 (2024) - [i12]Clayton Cohn, Eduardo Davalos, Caleb Vatral, Joyce Horn Fonteles, Hanchen David Wang, Meiyi Ma, Gautam Biswas:
Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review. CoRR abs/2408.14491 (2024) - 2023
- [j91]Anabil Munshi, Gautam Biswas, Ryan Baker, Jaclyn Ocumpaugh, Stephen Hutt, Luc Paquette:
Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. J. Comput. Assist. Learn. 39(2): 351-368 (2023) - [c219]Caleb Vatral, Gautam Biswas, Benjamin Goldberg:
A Theoretical Framework for Multimodal Learner Modeling and Performance Analysis in Experiential Learning Environments. AI-GEL@AIED 2023: 68-78 - [c218]Caleb Vatral, Madison Lee, Clayton Cohn, Eduardo Davalos, Daniel T. Levin, Gautam Biswas:
Prediction of Students' Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment. AIED (Posters/Late Breaking Results/...) 2023: 266-271 - [c217]Eduardo Davalos, Umesh Timalsina, Yike Zhang, Jiayi Wu, Joyce Horn Fonteles, Gautam Biswas:
ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing. IEEE Big Data 2023: 201-206 - [c216]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Model-Based Adaptation for Sample Efficient Transfer in Reinforcement Learning Control of Parameter-Varying Systems. CoDIT 2023: 706-711 - [c215]Austin Coursey, Marcos Quiñones-Grueiro, Gautam Biswas, Timothy Darrah:
Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders. CoDIT 2023: 752-757 - [c214]Zhiyao Zhang, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Gautam Biswas, Daniel B. Work:
Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study. ITSC 2023: 3215-3221 - [c213]Nicole Hutchins, Gautam Biswas:
Using Teacher Dashboards to Customize Lesson Plans for a Problem-Based, Middle School STEM Curriculum. LAK 2023: 324-332 - [c212]Eduardo Davalos, Caleb Vatral, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas, Naveeduddin Mohammed, Madison Lee, Daniel T. Levin:
Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs. LAK 2023: 476-487 - [c211]Yuhang Zhang, Marcos Quiñones-Grueiro, William Barbour, Zhiyao Zhang, Joshua Scherer, Gautam Biswas, Daniel B. Work:
Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control. SMARTCOMP 2023: 149-156 - [c210]Austin Coursey, Marcos Quiñones-Grueiro, Gautam Biswas:
On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data. SMARTCOMP 2023: 164-171 - [i11]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems. CoRR abs/2305.12158 (2023) - [i10]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances. CoRR abs/2305.12543 (2023) - [i9]Yuhang Zhang, Marcos Quiñones-Grueiro, Zhiyao Zhang, Yanbing Wang, William Barbour, Gautam Biswas, Daniel B. Work:
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits. CoRR abs/2310.12359 (2023) - 2022
- [j90]Ningyu Zhang, Gautam Biswas, Nicole Hutchins:
Measuring and Analyzing Students' Strategic Learning Behaviors in Open-Ended Learning Environments. Int. J. Artif. Intell. Educ. 32(4): 931-970 (2022) - [j89]Caleb Vatral, Gautam Biswas, Clayton Cohn, Eduardo Davalos, Naveeduddin Mohammed:
Using the DiCoT framework for integrated multimodal analysis in mixed-reality training environments. Frontiers Artif. Intell. 5 (2022) - [c209]Keith Cochran, Clayton Cohn, Nicole Hutchins, Gautam Biswas, Peter M. Hastings:
Improving Automated Evaluation of Formative Assessments with Text Data Augmentation. AIED (1) 2022: 390-401 - [c208]Caitlin Snyder, Cai-Ting Wen, Gautam Biswas:
Assessing Students' Knowledge Co-construction Behaviors in a Collaborative Computational Modeling Environment. AIED (2) 2022: 515-519 - [c207]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Data-Driven Learning Control for Building Energy Management. ACC 2022: 2571-2577 - [c206]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study. CCTA 2022: 1172-1177 - [c205]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Concurrent Policy Blending and System Identification for Generalized Assistive Control. ICRA 2022: 7499-7504 - [c204]Yuhang Zhang, Marcos Quiñones-Grueiro, William Barbour, Clay Weston, Gautam Biswas, Dan Work:
Quantifying the impact of driver compliance on the effectiveness of variable speed limits and lane control systems. ITSC 2022: 3638-3644 - [i8]Anabil Munshi, Gautam Biswas:
Analyzing Adaptive Scaffolds that Help Students Develop Self-Regulated Learning Behaviors. CoRR abs/2202.09698 (2022) - [i7]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Concurrent Policy Blending and System Identification for Generalized Assistive Control. CoRR abs/2205.09836 (2022) - 2021
- [j88]Mona Emara, Nicole Hutchins, Shuchi Grover, Caitlin Snyder, Gautam Biswas:
Examining Student Regulation of Collaborative, Computational, Problem-Solving Processes in Open-Ended Learning Environments. J. Learn. Anal. 8(1): 49-74 (2021) - [j87]Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Gautam Biswas, Anabil Munshi:
Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain. J. Learn. Anal. 8(3): 28-44 (2021) - [c203]Caleb Vatral, Naveeduddin Mohammed, Gautam Biswas:
A Machine Learning-Based External Assessment Engine for GIFT to Support Team Training in Dismounted Battle Drill Operations. TTW@AIED 2021: 17-25 - [c202]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:
Affect-Targeted Interviews for Understanding Student Frustration. AIED (1) 2021: 52-63 - [c201]Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas:
Students' Verbalized Metacognition During Computerized Learning. CHI 2021: 680:1-680:12 - [c200]Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Anabil Munshi, Nigel Bosch, Ryan S. Baker, Yingbin Zhang, Luc Paquette, Stefan Slater, Gautam Biswas:
Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. CogSci 2021 - [c199]Hussain M. Mustafa, Mohini Bariya, K. S. Sajan, Ajay Chhokra, Anurag Srivastava, Abhishek Dubey, Alexandra von Meier, Gautam Biswas:
RT-METER: a real-time, multi-layer cyber-power testbed for resiliency analysis. MSCPES@CPSIoTWeek 2021: 8:1-8:7 - [c198]Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker:
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. EDM 2021 - [c197]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Sensitivity and robustness of end-to-end data-driven approach for building performance optimization. BuildSys@SenSys 2021: 314-318 - [c196]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Transfer reinforcement learning for fault-tolerant control by re-using optimal policies. SysTol 2021: 25-30 - [c195]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Fault Tolerant Control combining Reinforcement Learning and Model-based Control *. SysTol 2021: 31-36 - 2020
- [j86]Nicole M. Hutchins, Gautam Biswas, Ningyu Zhang, Caitlin Snyder, Ákos Lédeczi, Miklós Maróti:
Domain-Specific Modeling Languages in Computer-Based Learning Environments: a Systematic Approach to Support Science Learning through Computational Modeling. Int. J. Artif. Intell. Educ. 30(4): 537-580 (2020) - [j85]Wenfeng Zhang, Gautam Biswas, Qi Zhao, Hongbo Zhao, Wenquan Feng:
Knowledge distilling based model compression and feature learning in fault diagnosis. Appl. Soft Comput. 88: 105958 (2020) - [j84]Daniel Jung, Yi Dong, Erik Frisk, Mattias Krysander, Gautam Biswas:
Sensor selection for fault diagnosis in uncertain systems. Int. J. Control 93(3): 629-639 (2020) - [j83]Gautam Biswas, Ramkumar Rajendran, Naveeduddin Mohammed, Benjamin S. Goldberg, Robert A. Sottilare, Keith Brawner, Michael Hoffman:
Multilevel Learner Modeling in Training Environments for Complex Decision Making. IEEE Trans. Learn. Technol. 13(1): 172-185 (2020) - [c194]Caitlin Snyder, Nicole M. Hutchins, Gautam Biswas, Mona Emara, Bernard Yett, Shitanshu Mishra:
Understanding Collaborative Question Posing During Computational Modeling in Science. AIED (2) 2020: 296-300 - [c193]Bernard Yett, Nicole Hutchins, Caitlin Snyder, Ningyu Zhang, Shitanshu Mishra, Gautam Biswas:
Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects. AIED (2) 2020: 352-357 - [c192]Anabil Munshi, Shitanshu Mishra, Ningyu Zhang, Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas:
Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments. AIED (1) 2020: 411-422 - [c191]Ningyu Zhang, Gautam Biswas, Kevin W. McElhaney, Satabdi Basu, Elizabeth A. McBride, Jennifer L. Chiu:
Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment. AIED (1) 2020: 598-609 - [c190]Xiaoman Zi, Shiyao Li, Roxanne Rashedi, Marian Rushdy, Ben Lane, Shitanshu Mishra, Gautam Biswas, Amy Swanson, Amy Kinsman, Nicole Bardett, Zachary Warren, Pablo Juárez, Maithilee Kunda:
Adapting Educational Technologies Across Learner Populations: A Usability Study with Adolescents on the Autism Spectrum. CogSci 2020 - [c189]Luke Conlin, Nicole Hutchins, Shuchi Grover, Gautam Biswas:
"Doing Physics" And "Doing Code": Students' Framing During Computational Modeling in Physics. ICLS 2020 - [c188]Mona Emara, Shuchi Grover, Nicole Hutchins, Gautam Biswas, Caitlin Snyder:
Examining Students' Debugging and Regulation Processes During Collaborative Computational Modeling in Science. ICLS 2020 - [c187]Shuchi Grover, Gautam Biswas, Amanda Dickes, Amy Voss Farris, Pratim Sengupta, Beth Covitt, Kristin Gunckel, Alan Berkowitz, John Moore, Golnaz Arastoopour Irgens, Michael Horn, Uri Wilensky, Shari Metcalf, Soobin Jeon, Chris Dede, Gillian Puttick, Debra Bernstein, Kristen B. Wendell, Ethan Danahy, Michael P. Cassidy, Fayette Shaw, Daniel Damelin, Steve Roderick, A. Lynn Stephens, Namsoo Shin, Irene A. Lee, Emma Anderson, Ximena Dominguez, Phil Vahey, Aman Yadav, Kathryn Rich, Christina V. Schwarz, Rachel A. Larimore, Paulo Blikstein:
Integrating STEM and Computing in PK-12: Operationalizing Computational Thinking for STEM Learning and Assessment. ICLS 2020 - [c186]Nicole Hutchins, Gautam Biswas, Rachel Wolf, Doris B. Chin, Shuchi Grover, Kristen Pilner Blair:
Computational Thinking in Support of Learning and Transfer. ICLS 2020 - [c185]Yasmin B. Kafai, Gautam Biswas, Nicole Hutchins, Caitlin Snyder, Karen Brennan, Paulina Haduong, Kayla DesPortes, Morgan Fong, Virginia J. Flood, Oia Walker-van Aalst, David DeLiema, Deborah A. Fields, Melissa S. Gresalfi, Corey E. Brady, Selena Steinberg, Madison Knowe, Diana Franklin, Merijke Coenraad, David Weintrop, Donna Eatinger, Jen Palmer, Michelle Hoda Wilkerson, Collette Roberto, Nicole Bulalacao, Joshua A. Danish:
Turning Bugs into Learning Opportunities: Understanding Debugging Processes, Perspectives, and Pedagogies. ICLS 2020 - [c184]Kevin W. McElhaney, Ningyu Zhang, Satabdi Basu, Elizabeth A. McBride, Gautam Biswas, Jennie Chiu:
Using Computational Modeling to Integrate Science and Engineering Curricular Activities. ICLS 2020 - [c183]Roxanne Rashedi, Kemberlee Bonnet, Rebecca Schulte, David Schlundt, Amy Swanson, Amy Kinsman, Nicole Bardett, Zachary Warren, Pablo Juárez, Gautam Biswas, Maithilee Kunda:
Opportunities and Challenges in Developing Technology-Based Social Skills Interventions for Youth With Autism Spectrum Disorder: A Qualitative Analysis of Parent Perspectives. ICLS 2020 - [c182]Kshitij Sharma, Shitanshu Mishra, Zacharoula K. Papamitsiou, Anabil Munshi, Bikram Kumar De, Gautam Biswas, Michail N. Giannakos:
Towards Obtaining Facial Proxies for Gaze behaviour in TEL. ICLS 2020 - [c181]Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shitanshu Mishra, Mona Emara:
Exploring Synergistic Learning Processes Through Collaborative Learner-to-Learner Questioning. ICLS 2020 - [c180]Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker:
Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment. ICQE 2020: 185-201 - [c179]Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Anabil Munshi, Gautam Biswas:
The relationship between confusion and metacognitive strategies in Betty's Brain. LAK 2020: 276-284 - [c178]Bernard Yett, Nicole Hutchins, Gordon Stein, Hamid Zare, Caitlin Snyder, Gautam Biswas, Mary Metelko, Ákos Lédeczi:
A Hands-On Cybersecurity Curriculum Using a Robotics Platform. SIGCSE 2020: 1040-1046 - [c177]Bernard Yett, Caitlin Snyder, Nicole Hutchins, Gautam Biswas:
Exploring the Relationship Between Collaborative Discourse, Programming Actions, and Cybersecurity and Computational Thinking Knowledge. TALE 2020: 213-220 - [i6]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings. CoRR abs/2008.01879 (2020) - [i5]Ibrahim Ahmed, Hamed Khorasgani, Gautam Biswas:
Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control. CoRR abs/2008.04403 (2020) - [i4]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning. CoRR abs/2008.04407 (2020) - [i3]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control. CoRR abs/2009.12634 (2020) - [i2]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning. CoRR abs/2012.06016 (2020)
2010 – 2019
- 2019
- [c176]Nicole Hutchins, Gautam Biswas, Shuchi Grover, Satabdi Basu, Caitlin Snyder:
A Systematic Approach for Analyzing Students' Computational Modeling Processes in C2STEM. AIED (2) 2019: 116-121 - [c175]Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shuchi Grover:
Understanding Students' Model Building Strategies Through Discourse Analysis. AIED (2) 2019: 263-268 - [c174]Anabil Munshi, Gautam Biswas:
Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes. AIED (2) 2019: 354-358 - [c173]Ningyu Zhang, Gautam Biswas, Jennifer L. Chiu, Kevin W. McElhaney:
Analyzing Students' Design Solutions in an NGSS-Aligned Earth Sciences Curriculum. AIED (1) 2019: 532-543 - [c172]Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Mona Emara, Shuchi Grover, Luke Conlin:
Analyzing Students' Synergistic Learning Processes in Physics and CT by Collaborative Discourse Analysis. CSCL 2019 - [c171]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:
Affect Sequences and Learning in Betty's Brain. LAK 2019: 383-390 - [c170]Ákos Lédeczi, Miklós Maróti, Hamid Zare, Bernard Yett, Nicole Hutchins, Brian Broll, Péter Völgyesi, Michael B. Smith, Timothy Darrah, Mary Metelko, Xenofon D. Koutsoukos, Gautam Biswas:
Teaching Cybersecurity with Networked Robots. SIGCSE 2019: 885-891 - [c169]Gautam Biswas, Nicole Hutchins, Ákos Lédeczi, Shuchi Grover, Satabdi Basu:
Integrating Computational Modeling in K-12 STEM Classrooms. SIGCSE 2019: 1288 - [c168]Avisek Naug, Ibrahim Ahmed, Gautam Biswas:
Online Energy Management in Commercial Buildings using Deep Reinforcement Learning. SMARTCOMP 2019: 249-257 - [c167]Mayank S. Jha, Didier Theilliol, Gautam Biswas, Philippe Weber:
Approximate Q-learning approach for Health Aware Control Design. SysTol 2019: 418-423 - 2018
- [j82]Hamed Khorasgani, Gautam Biswas:
A methodology for monitoring smart buildings with incomplete models. Appl. Soft Comput. 71: 396-406 (2018) - [j81]Daniel L. C. Mack, Gautam Biswas, Hamed Khorasgani, Dinkar Mylaraswamy, Raj Bharadwaj:
Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data. Autom. 66(4): 291-307 (2018) - [j80]Mona Emara, Ramkumar Rajendran, Gautam Biswas, Mahmod Okasha, Adel Alsaeid Elbanna:
Do Students' Learning Behaviors Differ when they Collaborate in Open-Ended Learning Environments? Proc. ACM Hum. Comput. Interact. 2(CSCW): 49:1-49:19 (2018) - [j79]Hamed Khorasgani, Gautam Biswas:
Structural Fault Detection and Isolation in Hybrid Systems. IEEE Trans Autom. Sci. Eng. 15(4): 1585-1599 (2018) - [c166]Nicole Hutchins, Gautam Biswas, Miklos Maroti, Ákos Lédeczi, Brian Broll:
A Design-Based Approach to a Classroom-Centered OELE. AIED (2) 2018: 155-159 - [c165]Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas:
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? AIED (1) 2018: 198-211 - [c164]Ningyu Zhang, Gautam Biswas:
Understanding Students' Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment. AIED (2) 2018: 405-410 - [c163]Avisek Naug, Gautam Biswas:
A Data Driven Method for Prediction of Energy Demand in Commercial Buildings. CASE 2018: 335-340 - [c162]Ramkumar Rajendran, Anurag Kumar, Kelly E. Carter, Daniel T. Levin, Gautam Biswas:
Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. EDM 2018 - [c161]Satabdi Basu, Kevin W. McElhaney, Shuchi Grover, Christopher J. Harris, Gautam Biswas:
A Principled Approach to Designing Assessments That Integrate Science and Computational Thinking. ICLS 2018 - [c160]Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Allison L. Moore, Gautam Biswas:
Studying the Interactions between Components of Self Regulated Learning in Open Ended Learning Environments. ICLS 2018 - [c159]Michelle Taub, Nicholas V. Mudrick, Ramkumar Rajendran, Yi Dong, Gautam Biswas, Roger Azevedo:
How Are Students' Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs? ITS 2018: 233-242 - [c158]Avisek Naug, Gautam Biswas:
Data Driven Methods for Energy Reduction in Large Buildings. SMARTCOMP 2018: 131-138 - [c157]Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Gautam Biswas, Ryan S. Baker, Luc Paquette:
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments. UMAP 2018: 131-138 - 2017
- [j78]Daniel L. C. Mack, Gautam Biswas, Xenofon D. Koutsoukos, Dinkar Mylaraswamy:
Learning Bayesian Network Structures to Augment Aircraft Diagnostic Reference Models. IEEE Trans Autom. Sci. Eng. 14(1): 358-369 (2017) - [j77]John S. Kinnebrew, Stephen S. Killingsworth, Douglas B. Clark, Gautam Biswas, Pratim Sengupta, James Minstrell, Mario Martinez-Garza, Kara Krinks:
Contextual Markup and Mining in Digital Games for Science Learning: Connecting Player Behaviors to Learning Goals. IEEE Trans. Learn. Technol. 10(1): 93-103 (2017) - [j76]John S. Kinnebrew, James René Segedy,