Dynamically adapting training systems based on user interactions

R. M. Weerakoon, P. Chundi, Mahadevan Subramaniam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Game-based simulation systems are increasingly being used to train users in several applications across government, in-dustry, and academia. Designing game-based training systems that can measurably improve learning while providing an engaging training experience is a challenging problem. In this paper, we describe a novel framework that tightly integrates game-based training systems with instructional com-ponents using data analysis to address this problem.Intelligent training systems based on this framework dynamically adapt both the training and the instructional components to measurably improve learning in play sessions. We propose a three phase approach to automatically identify points in a play session to predict high-value future scenarios, validate predictions, and prescribe actions. A case study using the KDD Cup 2010 educational data set is described illustrating the effectiveness of the proposed approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11
Pages31-38
Number of pages8
DOIs
StatePublished - Sep 29 2011
Event2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11 - San Diego, CA, United States
Duration: Aug 21 2011Aug 21 2011

Publication series

NameProceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11

Conference

Conference2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11
CountryUnited States
CitySan Diego, CA
Period8/21/118/21/11

Fingerprint

User Interaction
Game
Simulation System
Data analysis
Integrate
Training
Predict
Scenarios
Prediction
Framework
Learning

Keywords

  • Adaptation
  • Sequence mining
  • Simulation

ASJC Scopus subject areas

  • Computer Science Applications
  • Modeling and Simulation

Cite this

Weerakoon, R. M., Chundi, P., & Subramaniam, M. (2011). Dynamically adapting training systems based on user interactions. In Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11 (pp. 31-38). (Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11). https://doi.org/10.1145/2023568.2023578

Dynamically adapting training systems based on user interactions. / Weerakoon, R. M.; Chundi, P.; Subramaniam, Mahadevan.

Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11. 2011. p. 31-38 (Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Weerakoon, RM, Chundi, P & Subramaniam, M 2011, Dynamically adapting training systems based on user interactions. in Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11. Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11, pp. 31-38, 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11, San Diego, CA, United States, 8/21/11. https://doi.org/10.1145/2023568.2023578
Weerakoon RM, Chundi P, Subramaniam M. Dynamically adapting training systems based on user interactions. In Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11. 2011. p. 31-38. (Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11). https://doi.org/10.1145/2023568.2023578
Weerakoon, R. M. ; Chundi, P. ; Subramaniam, Mahadevan. / Dynamically adapting training systems based on user interactions. Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11. 2011. pp. 31-38 (Proceedings of the 2011 Workshop on Knowledge Discovery, Modeling and Simulation, KDMS'11).
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