John S. Kinnebrew
Title
Cited by
Cited by
Year
Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework
P Sengupta, JS Kinnebrew, S Basu, G Biswas, D Clark
Education and Information Technologies 18 (2), 351-380, 2013
3242013
Measuring self-regulated learning skills through social interactions in a teachable agent environment
G Biswas, H Jeong, JS Kinnebrew, B Sulcer, ROD Roscoe
Research and Practice in Technology Enhanced Learning 5 (02), 123-152, 2010
1842010
A contextualized, differential sequence mining method to derive students' learning behavior patterns.
JS Kinnebrew, KM Loretz, G Biswas
Journal of Educational Data Mining 5 (1), 190-219, 2013
1292013
Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution.
JS Kinnebrew, G Biswas
International Educational Data Mining Society, 2012
832012
Analyzing the temporal evolution of students’ behaviors in open-ended learning environments
JS Kinnebrew, JR Segedy, G Biswas
Metacognition and learning 9 (2), 187-215, 2014
722014
Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.
O Niggemann, G Biswas, JS Kinnebrew, H Khorasgani, S Volgmann, ...
DX@ Safeprocess, 185-192, 2015
712015
The effect of contextualized conversational feedback in a complex open-ended learning environment
JR Segedy, JS Kinnebrew, G Biswas
Educational Technology Research and Development 61 (1), 71-89, 2013
612013
Using coherence analysis to characterize self-regulated learning behaviours in open-ended learning environments
JR Segedy, JS Kinnebrew, G Biswas
Journal of Learning Analytics 2 (1), 13–48-13–48, 2015
502015
Learner modeling for adaptive scaffolding in a computational thinking-based science learning environment
S Basu, G Biswas, JS Kinnebrew
User Modeling and User-Adapted Interaction 27 (1), 5-53, 2017
462017
Identifying middle school students’ challenges in computational thinking-based science learning
S Basu, G Biswas, P Sengupta, A Dickes, JS Kinnebrew, D Clark
Research and practice in technology enhanced learning 11 (1), 13, 2016
422016
Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning.
F Bouchet, R Azevedo, JS Kinnebrew, G Biswas
International Educational Data Mining Society, 2012
422012
Investigating self-regulated learning in teachable agent environments
JS Kinnebrew, G Biswas, B Sulcer, RS Taylor
International handbook of metacognition and learning technologies, 451-470, 2013
402013
Integrating model-driven and data-driven techniques for analyzing learning behaviors in open-ended learning environments
JS Kinnebrew, JR Segedy, G Biswas
IEEE Transactions on Learning Technologies 10 (2), 140-153, 2015
332015
CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling.
S Basu, A Dickes, JS Kinnebrew, P Sengupta, G Biswas
CSEDU, 369-378, 2013
332013
A decision-theoretic planner with dynamic component reconfiguration for distributed real-time applications
JS Kinnebrew, A Gupta, N Shankaran, G Biswas, DC Schmidt
Eighth International Symposium on Autonomous Decentralized Systems (ISADS'07†…, 2007
302007
Cloud-hosted simulation-as-a-service for high school STEM education
F Caglar, S Shekhar, A Gokhale, S Basu, T Rafi, J Kinnebrew, G Biswas
Simulation Modelling Practice and Theory 58, 255-273, 2015
292015
A multi-agent architecture provides smart sensing for the nasa sensor web
D Suri, A Howell, D Schmidt, G Biswas, J Kinnebrew, W Otte, ...
2007 IEEE Aerospace Conference, 1-9, 2007
262007
Modeling and measuring self-regulated learning in teachable agent environments
JS Kinnebrew, G Biswas, WB Sulcer
2010 AAAI Fall Symposium Series, 2010
252010
Toward effective multi-capacity resource allocation in distributed real-time and embedded systems
N Roy, JS Kinnebrew, N Shankaran, G Biswas, DC Schmidt
2008 11th IEEE International Symposium on Object and Component-Oriented Real†…, 2008
242008
Behavior prediction in MOOCs using higher granularity temporal information
C Ye, JS Kinnebrew, G Biswas, BJ Evans, DH Fisher, G Narasimham, ...
Proceedings of the second (2015) ACM conference on Learning@ Scale, 335-338, 2015
232015
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Articles 1–20