Akundi, A., & Edinbarough, I. (2020, June), Text Mining-based Qualitative Student Assessment of Interactive Simulation Learning Using SIMIO Tool – A Work in Progress  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--35291

\bibitem{asee_peer_35291}
  Akundi, A., \& Edinbarough, I. (2020, June), \emph{Text Mining-based Qualitative Student Assessment of Interactive Simulation Learning Using SIMIO Tool – A Work in Progress}
  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line .
  10.18260/1-2--35291

Aditya Akundi and Immanuel Edinbarough P.E..  "Text Mining-based Qualitative Student Assessment of Interactive Simulation Learning Using SIMIO Tool – A Work in Progress".  2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June.  ASEE Conferences, 2020.  https://peer.asee.org/35291 Internet.  12 Dec, 2024

\bibitem{asee_peer_35291}
  Aditya Akundi and Immanuel Edinbarough P.E..
  "Text Mining-based Qualitative Student Assessment of Interactive Simulation Learning Using SIMIO Tool – A Work in Progress".
  \emph{2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June}.
  ASEE Conferences, 2020.
  https://peer.asee.org/35291 Internet.  12 Dec, 2024

@INPROCEEDINGS{asee_peer_35291
author = "Aditya Akundi and Immanuel Edinbarough P.E."
title = "Text Mining-based Qualitative Student Assessment of Interactive Simulation Learning Using SIMIO Tool – A Work in Progress"
booktitle = "2020 ASEE Virtual Annual Conference Content Access"
year = "2020"
month = "June"
address = "Virtual On line "
publisher = "ASEE Conferences"
note = {https://peer.asee.org/35291}
number = {10.18260/1-2--35291}
}

TY  - CPAPER
AB  - Computer simulations complement and extend the real-world components of industries and manufacturing organizations. Teaching simulation-based tools helps students in modeling and analyzing the behavior of real time systems. With the increased demand observed in products and technology consumption, manufacturing industries are evolving to embrace new technologies and initiatives. To keep the emerging workforce technically competent in current tools to understand and interpret manufacturing processes, this paper portrays an effort by the authors in introducing SIMIO i.e. a tool on Simulation of intelligent objects to undergraduate students at University of Texas Rio Grande Valley and in understanding the influence of using a hands-on tool to stimulate student learning. With the help of SIMIO, students were introduced to the concepts of Basics of Simulations, Logics and Methodologies, Developing Simulation Models, Analysis of Simulation Data, applications to Industrial and service system designs. To understand student learning and the grasp of the concepts discoursed during the course, Natural Language Processing techniques have been used to qualitatively measure concept association by the students.
AU  - Aditya Akundi
AU  - Immanuel Edinbarough P.E.
CY  - Virtual On line 
DA  - 2020/06/22
PB  - ASEE Conferences
TI  - Text Mining-based Qualitative Student Assessment of Interactive Simulation Learning Using SIMIO Tool – A Work in Progress
UR  - https://peer.asee.org/35291
DO  - 10.18260/1-2--35291
ER  -