Aravind, V. R., & McConnell, M. K. (2018, April), A Personalized Computer Based Tutor for Vector Algebra  Paper presented at 2018 ASEE Mid-Atlantic Section Spring Conference, Washington, District of Columbia. 10.18260/1-2--29451

\bibitem{asee_peer_29451}
  Aravind, V. R., \& McConnell, M. K. (2018, April), \emph{A Personalized Computer Based Tutor for Vector Algebra}
  Paper presented at 2018 ASEE Mid-Atlantic Section Spring Conference, Washington, District of Columbia.
  10.18260/1-2--29451

Vasudeva Rao Aravind and Marcella Kay McConnell.  "A Personalized Computer Based Tutor for Vector Algebra".  2018 ASEE Mid-Atlantic Section Spring Conference, Washington, District of Columbia, 2018, April.  ASEE Conferences, 2018.  https://peer.asee.org/29451 Internet.  05 May, 2024

\bibitem{asee_peer_29451}
  Vasudeva Rao Aravind and Marcella Kay McConnell.
  "A Personalized Computer Based Tutor for Vector Algebra".
  \emph{2018 ASEE Mid-Atlantic Section Spring Conference, Washington, District of Columbia, 2018, April}.
  ASEE Conferences, 2018.
  https://peer.asee.org/29451 Internet.  05 May, 2024

@INPROCEEDINGS{asee_peer_29451
author = "Vasudeva Rao Aravind and Marcella Kay McConnell"
title = "A Personalized Computer Based Tutor for Vector Algebra"
booktitle = "2018 ASEE Mid-Atlantic Section Spring Conference"
year = "2018"
month = "April"
address = "Washington, District of Columbia"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/29451}
number = {10.18260/1-2--29451}
}

TY  - CPAPER
AB  - Many of the world's challenges today need to solved through advances in one or more of the STEM disciplines. This calls for preparing our students to be tomorrow's leading engineers and scientists. While many students are fascinated by engineering and aspire to become future engineers, they are turned away by the seemingly 'difficult' academic coursework.For example, it is vital that students in a freshmen class understand how to analyze vectors, and split an arbitrary vector into components along different directions. From a student point of view, concepts in vectors can seem challenging, especially if they do not have strong knowledge background in geometry and trigonometry. We made a computer based personalized tutoring system using state of the art tools provided by Carnegie Mellon University's Cognitive Tutor Authoring Tools (CTAT). In this presentation, we describe steps that went into building this highly effective tutoring system that challenges the students with a problem, provides immediate feedback, and offers need based hints at different levels, leading the student to solve the problem correctly. The ideas described here will be useful to any engineering educator, as similar tutors can be made to personalize student learning in any concept. 
AU  - Vasudeva Rao Aravind
AU  - Marcella Kay McConnell
CY  - Washington, District of Columbia
DA  - 2018/04/06
PB  - ASEE Conferences
TI  - A Personalized Computer Based Tutor for Vector Algebra
UR  - https://peer.asee.org/29451
DO  - 10.18260/1-2--29451
ER  -