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2020 – today
- 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)- [c213]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 - [c212]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 - [c211]Nicole Hutchins, Gautam Biswas:
Using Teacher Dashboards to Customize Lesson Plans for a Problem-Based, Middle School STEM Curriculum. LAK 2023: 324-332 - [c210]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 - [c209]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 - [c208]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 - [i10]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) - [i9]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances. CoRR abs/2305.12543 (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) - [c207]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 - [c206]Caitlin Snyder, Cai-Ting Wen, Gautam Biswas:
Assessing Students' Knowledge Co-construction Behaviors in a Collaborative Computational Modeling Environment. AIED (2) 2022: 515-519 - [c205]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Data-Driven Learning Control for Building Energy Management. ACC 2022: 2571-2577 - [c204]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 - [c203]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Concurrent Policy Blending and System Identification for Generalized Assistive Control. ICRA 2022: 7499-7504 - [c202]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) - [c201]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 - [c200]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 - [c199]Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas:
Students' Verbalized Metacognition During Computerized Learning. CHI 2021: 680:1-680:12 - [c198]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 - [c197]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 - [c196]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 - [c195]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Transfer reinforcement learning for fault-tolerant control by re-using optimal policies. SysTol 2021: 25-30 - [c194]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) - [c193]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 - [c192]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 - [c191]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 - [c190]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 - [c189]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 - [c188]Luke Conlin, Nicole Hutchins, Shuchi Grover, Gautam Biswas:
"Doing Physics" And "Doing Code": Students' Framing During Computational Modeling in Physics. ICLS 2020 - [c187]Mona Emara, Shuchi Grover, Nicole Hutchins, Gautam Biswas, Caitlin Snyder:
Examining Students' Debugging and Regulation Processes During Collaborative Computational Modeling in Science. ICLS 2020 - [c186]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 - [c185]Nicole Hutchins, Gautam Biswas, Rachel Wolf, Doris B. Chin, Shuchi Grover, Kristen Pilner Blair:
Computational Thinking in Support of Learning and Transfer. ICLS 2020 - [c184]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 - [c183]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 - [c182]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 - [c181]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 - [c180]Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shitanshu Mishra, Mona Emara:
Exploring Synergistic Learning Processes Through Collaborative Learner-to-Learner Questioning. ICLS 2020 - [c179]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 - [c178]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 - [c177]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 - [c176]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
- [c175]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 - [c174]Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shuchi Grover:
Understanding Students' Model Building Strategies Through Discourse Analysis. AIED (2) 2019: 263-268 - [c173]Anabil Munshi, Gautam Biswas:
Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes. AIED (2) 2019: 354-358 - [c172]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 - [c171]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 - [c170]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 - [c169]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 - [c168]Gautam Biswas, Nicole Hutchins, Ákos Lédeczi, Shuchi Grover, Satabdi Basu:
Integrating Computational Modeling in K-12 STEM Classrooms. SIGCSE 2019: 1288 - [c167]Avisek Naug, Ibrahim Ahmed, Gautam Biswas:
Online Energy Management in Commercial Buildings using Deep Reinforcement Learning. SMARTCOMP 2019: 249-257 - [c166]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) - [c165]Nicole Hutchins, Gautam Biswas, Miklos Maroti, Ákos Lédeczi, Brian Broll:
A Design-Based Approach to a Classroom-Centered OELE. AIED (2) 2018: 155-159 - [c164]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 - [c163]Ningyu Zhang, Gautam Biswas:
Understanding Students' Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment. AIED (2) 2018: 405-410 - [c162]Avisek Naug, Gautam Biswas:
A Data Driven Method for Prediction of Energy Demand in Commercial Buildings. CASE 2018: 335-340 - [c161]Ramkumar Rajendran, Anurag Kumar, Kelly E. Carter, Daniel T. Levin, Gautam Biswas:
Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. EDM 2018 - [c160]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 - [c159]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 - [c158]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 - [c157]Avisek Naug, Gautam Biswas:
Data Driven Methods for Energy Reduction in Large Buildings. SMARTCOMP 2018: 131-138 - [c156]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, Gautam Biswas:
Integrating Model-Driven and Data-Driven Techniques for Analyzing Learning Behaviors in Open-Ended Learning Environments. IEEE Trans. Learn. Technol. 10(2): 140-153 (2017) - [j75]Satabdi Basu, Gautam Biswas, John S. Kinnebrew:
Learner modeling for adaptive scaffolding in a Computational Thinking-based science learning environment. User Model. User Adapt. Interact. 27(1): 5-53 (2017) - [c155]Ningyu Zhang, Gautam Biswas, Yi Dong:
Characterizing Students' Learning Behaviors Using Unsupervised Learning Methods. AIED 2017: 430-441 - [c154]Ayan Mukhopadhyay, Yevgeniy Vorobeychik, Abhishek Dubey, Gautam Biswas:
Prioritized Allocation of Emergency Responders based on a Continuous-Time Incident Prediction Model. AAMAS 2017: 168-177 - [c153]Mona Emara, Michael Tscholl, Yi Dong, Gautam Biswas:
Analyzing Students' Collaborative Regulation Behaviors in a Classroom-Integrated Open Ended Learning Environment. CSCL 2017 - [c152]Hamed Khorasgani, Gautam Biswas:
A combined model-based and data-driven approach for monitoring smart buildings. DX 2017: 21-36 - [c151]Yi Dong, Gautam Biswas:
An Extended Learner Modeling Method to Assess Students' Learning Behaviors. EDM 2017 - [c150]Geoffrey Pettet, Saideep Nannapaneni, Benjamin Stadnick, Abhishek Dubey, Gautam Biswas:
Incident analysis and prediction using clustering and Bayesian network. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - [p1]Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte:
Datenanalyse in der intelligenten Fabrik. Handbuch Industrie 4.0 (2) 2017: 471-490 - 2016
- [j74]Gautam Biswas, James René Segedy, Kritya Bunchongchit:
From Design to Implementation to Practice a Learning by Teaching System: Betty's Brain. Int. J. Artif. Intell. Educ. 26(1): 350-364 (2016) - [j73]Matthew J. Daigle, Aníbal Bregón, Xenofon D. Koutsoukos, Gautam Biswas, Belarmino Pulido:
A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition. Eng. Appl. Artif. Intell. 53: 190-206 (2016) - [j72]Hamed Khorasgani, Gautam Biswas, Shankar Sankararaman:
Methodologies for system-level remaining useful life prediction. Reliab. Eng. Syst. Saf. 154: 8-18 (2016) - [j71]Satabdi Basu, Gautam Biswas, Pratim Sengupta, Amanda Dickes, John S. Kinnebrew, Douglas B. Clark:
Identifying middle school students' challenges in computational thinking-based science learning. Res. Pract. Technol. Enhanc. Learn. 11(1): 13 (2016) - [j70]Gan Zhou, Gautam Biswas, Wenfeng Zhang, Qi Zhao, Wenquan Feng:
Comparison of state estimation techniques for nonlinear hybrid systems. Simul. 92(4): 357-376 (2016) - [c149]Satabdi Basu, Gautam Biswas, John S. Kinnebrew:
Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science. AAAI 2016: 3705-3711 - [c148]Yi Dong, John S. Kinnebrew, Gautam Biswas:
Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments. EDM 2016: 591-592 - [c147]Satabdi Basu, Gautam Biswas:
Providing Adaptive Scaffolds and Measuring Their Effectiveness in Open Ended Learning Environments. ICLS 2016 - [c146]Brian C. Gauch, Gautam Biswas:
Behavior Changes Across Time and Between Populations in Open-Ended Learning Environments. ITS 2016: 187-196 - 2015
- [j69]Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas:
Model-Based Design of Tree WSNs for Decentralized Detection. Sensors 15(8): 20608-20647 (2015) - [j68]Faruk Caglar, Shashank Shekhar, Aniruddha S. Gokhale, Satabdi Basu, Tazrian Rafi, John S. Kinnebrew, Gautam Biswas:
Cloud-hosted simulation-as-a-service for high school STEM education. Simul. Model. Pract. Theory 58: 255-273 (2015) - [c145]John S. Kinnebrew, Brian C. Gauch, James Segedy, Gautam Biswas:
Studying Student Use of Self-Regulated Learning Tools in an Open-Ended Learning Environment. AIED 2015: 185-194 - [c144]James René Segedy, Gautam Biswas:
Towards Using Coherence Analysis to Scaffold Students in Open-Ended Learning Environments. AIED Workshops 2015 - [c143]James Segedy, John S. Kinnebrew, Gautam Biswas:
Coherence Over Time: Understanding Day-to-Day Changes in Students' Open-Ended Problem Solving Behaviors. AIED 2015: 449-458 - [c142]James René Segedy, John S. Kinnebrew, Gautam Biswas:
Demonstration: Using GIFT to Support Students' Understanding of the UrbanSim Counter Insurgency Simulation. AIED Workshops 2015 - [c141]Gan Zhou, Wenquan Feng, Gautam Biswas, Wenfeng Zhang, XiuMei Guan:
A Comparsion Of State Estimation Algorithms For Hybrid Systems. ECMS 2015: 312-319 - [c140]Cheng Ye, John S. Kinnebrew, James René Segedy, Gautam Biswas:
Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences. EDM 2015: 380-383 - [c139]James René Segedy, John S. Kinnebrew, Benjamin S. Goldberg, Robert A. Sottilare, Gautam Biswas:
Designing Representations and Support for Metacognition in the Generalized Intelligent Framework for Tutoring. HCI (15) 2015: 663-674 - [c138]Cheng Ye, John S. Kinnebrew, Gautam Biswas, Brent J. Evans, Douglas H. Fisher, Gayathri Narasimham, Katherine A. Brady:
Behavior Prediction in MOOCs using Higher Granularity Temporal Information. L@S 2015: 335-338 - [c137]Gan Zhou, Gautam Biswas, Wenquan Feng, Hongbo Zhao, XiuMei Guan:
A Bayesian Framework for Fault Diagnosis of Hybrid Linear Systems. DX 2015: 27-34 - [c136]Hamed Khorasgani, Gautam Bisw