Hakem, I. F., & Tang, R., & Bockstaller, M. R. (2020, June), Work in Progress: Kinesthetic Learning of Network Mechanics Using Force Feedback Technology  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line . 10.18260/1-2--35666

\bibitem{asee_peer_35666}
  Hakem, I. F., \& Tang, R., \& Bockstaller, M. R. (2020, June), \emph{Work in Progress: Kinesthetic Learning of Network Mechanics Using Force Feedback Technology}
  Paper presented at 2020 ASEE Virtual Annual Conference Content Access, Virtual On line .
  10.18260/1-2--35666

Ilhem F. Hakem, Richard Tang, and Michael R. Bockstaller.  "Work in Progress: Kinesthetic Learning of Network Mechanics Using Force Feedback Technology".  2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June.  ASEE Conferences, 2020.  https://peer.asee.org/35666 Internet.  25 Apr, 2024

\bibitem{asee_peer_35666}
  Ilhem F. Hakem, Richard Tang, and Michael R. Bockstaller.
  "Work in Progress: Kinesthetic Learning of Network Mechanics Using Force Feedback Technology".
  \emph{2020 ASEE Virtual Annual Conference Content Access, Virtual On line , 2020, June}.
  ASEE Conferences, 2020.
  https://peer.asee.org/35666 Internet.  25 Apr, 2024

@INPROCEEDINGS{asee_peer_35666
author = "Ilhem F. Hakem, Richard Tang, and Michael R. Bockstaller"
title = "Work in Progress: Kinesthetic Learning of Network Mechanics Using Force Feedback Technology"
booktitle = "2020 ASEE Virtual Annual Conference Content Access"
year = "2020"
month = "June"
address = "Virtual On line "
publisher = "ASEE Conferences"
note = {https://peer.asee.org/35666}
number = {10.18260/1-2--35666}
}

TY  - CPAPER
AB  - Recent advancements in haptic force feedback technologies enable novel opportunities for the teaching of science and engineering by augmenting classical laboratory experiments with haptic experiences that provide deeper insight into the connections between theory and experiment. This contribution describes the development and implementation of a ‘kinesthetic teaching toolkit’ for the particular purpose of teaching mechanical properties of polymer networks. In the first part the background of ‘network mechanics’ is introduced at a level consistent with undergraduate and graduate courses on Polymer Science and Engineering that are being offered at Carnegie Mellon University. The challenges associated with the design of hands-on experiences to support the teaching of ‘mechanical properties of polymer networks’ are described to illustrate the opportunities for force-feedback technologies. 
In the second part, this paper describes the process of adopting low-cost force feedback joysticks for the emulation of a ‘rubber extension’ experiment. The opportunities for students to explore material property changes in response to defined microstructural changes are described. Finally, we elaborate the implementation of the device in a laboratory course on Colloids, Polymers and Surface that is being offered at the Chemical Engineering Department at Carnegie Mellon University.
AU  - Ilhem F. Hakem
AU  - Richard Tang
AU  - Michael R. Bockstaller
CY  - Virtual On line 
DA  - 2020/06/22
PB  - ASEE Conferences
TI  - Work in Progress: Kinesthetic Learning of Network Mechanics Using Force Feedback Technology
UR  - https://peer.asee.org/35666
DO  - 10.18260/1-2--35666
ER  -