Cloud-hosted simulation-as-a-service for high school STEM education

Abstract Despite their advanced status, nations such as the United States of America continue to face a STEM (science, technology, engineering and mathematics) crisis in their education system. Lack of effective teaching modalities that can leverage real-world examples to stimulate student interest in STEM concepts are identified as one of the reasons for this crisis. To address these challenges, our research is investigating the use of innovative and attractive modeling and simulation frameworks for concurrent, interactive and collaborative STEM education where vehicular traffic serves as the real-world example to reify STEM concepts. Existing traffic-related tools, such as traffic simulators, however, do not provide: (1) intuitive abstractions to construct, refine, and simulate various traffic models that are commensurate to the level of high school students, (2) concurrent and scalable model execution, and (3) collaborative learning environments. On the other hand, although intuitive abstractions such as Google Maps exist, these abstractions do not support semantics for dynamic behavior, which is representative of real-world traffic scenarios. To overcome both these challenges and address the STEM problem, this paper presents a Cloud-based, Collaborative, and Scaled-up Modeling and Simulation Framework for STEM Education called C2SuMo. The key contribution of this paper lies in the design and implementation of a cloud-based, elastic modeling and simulation framework that provides an intuitive, model-driven, collaborative, and concurrent visual simulation environment for STEM education. The paper also reports on insights we gained conducting a user study involving over sixty high school students.

[1]  Aditi Wagh,et al.  Balancing Curricular and Pedagogical Needs in Computational Construction Kits: Lessons from the DeltaTick Project. , 2015 .

[2]  U. Netlogo Wilensky,et al.  Center for Connected Learning and Computer-Based Modeling , 1999 .

[3]  Uri Wilensky,et al.  NetLogo: A simple environment for modeling complexity , 2014 .

[4]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[5]  Gautam Biswas,et al.  CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling , 2013, CSEDU.

[6]  Kristina Chodorow,et al.  MongoDB: The Definitive Guide , 2010 .

[7]  Yao-Jan Wu,et al.  A Google-Map-Based Arterial Traffic Information System , 2007, 2007 IEEE Intelligent Transportation Systems Conference.

[8]  Massimiliano Rak,et al.  Cloud-Based Concurrent Simulation at Work: Fast Performance Prediction of Parallel Programs , 2012, 2012 IEEE 21st International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises.

[9]  Tag Gon Kim,et al.  DEXSim: an experimental environment for distributed execution of replicated simulators using a concept of single simulation multiple scenarios , 2014, Simul..

[10]  Simon J. E. Taylor,et al.  Modeling for everyone: Emphasizing the role of modeling in stem education , 2014, Proceedings of the Winter Simulation Conference 2014.

[11]  Bin Chen,et al.  Cloud-Based Simulation: The State-of-the-Art Computer Simulation Paradigm , 2012, 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation.

[12]  Jeannette M. Wing.  Computational thinking and thinking about computing , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[13]  Daniel Krajzewicz,et al.  SUMO - Simulation of Urban MObility An Overview , 2011 .

[14]  David N. Beede,et al.  STEM: Good Jobs Now and for the Future. ESA Issue Brief #03-11. , 2011 .

[15]  Michael Plomer,et al.  Teaching Physics in a Physiologically Meaningful Manner. , 2010 .

[16]  Lawrence E. Whitman,et al.  Using legos to interest high school students and imtrove k12 stem education , 2003, 33rd Annual Frontiers in Education, 2003. FIE 2003..

[17]  Maja J. Mataric,et al.  Materials for Enabling Hands-On Robotics and STEM Education , 2007, AAAI Spring Symposium: Semantic Scientific Knowledge Integration.

[18]  Anthony Ventresque,et al.  dSUMO: towards a distributed SUMO , 2013 .

[19]  Jeannette M. Wing.  An introduction to computer science for non-majors using principles of computation , 2007, SIGCSE.

[20]  Sylvain Hellegouarch.  CherryPy essentials : rapid Python web application development : design, develop, test, and deploy your Python web application easily , 2007 .

[21]  Raymond Migneco,et al.  Collaborative Online Activities for Acoustics Education and Psychoacoustic Data Collection , 2009, IEEE Transactions on Learning Technologies.

[22]  Maxim Raya,et al.  TraCI: an interface for coupling road traffic and network simulators , 2008, CNS '08.

[23]  Jose P. Mestre,et al.  Impact of a short intervention on novices’ categorization criteria , 2012 .

[24]  Rosaldo J. F. Rossetti,et al.  Towards a Mobile-based ADAS Simulation Framework , 2014 .

[25]  Kun-Chan Lan,et al.  Rapid Generation of Realistic Mobility Models for VANET , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[26]  Daniel D. Suthers,et al.  Computer-supported collaborative learning: An historical perspective , 2006 .

[27]  Patrick Weber,et al.  OpenStreetMap: User-Generated Street Maps , 2008, IEEE Pervasive Computing.

[28]  Daniel L. Schwartz,et al.  Doing with Understanding: Lessons from Research on Problem- and Project-Based Learning , 1998 .

[29]  Gautam Biswas,et al.  Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework , 2013, Education and Information Technologies.

[30]  Daniel Krajzewicz,et al.  SUMO (Simulation of Urban MObility) - an open-source traffic simulation , 2002 .

[31]  Daisy Wise Rutstein,et al.  Review of Computer-based Simulations for STEM Learning in K-12 Education , 2013 .

[32]  Jan T. van der Veen,et al.  The learning effects of computer simulations in science education , 2012, Comput. Educ..