Jaison, D., & Merzdorf, H. E., & White, L. L. A., & Douglas, K. A., & Watson, K., & Hammond, T. A. (2023, June), A Qualitative Insight into User Experiences of an Intelligent Tutoring System to Learn Sketching Skills.   Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42479

\bibitem{asee_peer_42479}
  Jaison, D., \& Merzdorf, H. E., \& White, L. L. A., \& Douglas, K. A., \& Watson, K., \& Hammond, T. A. (2023, June), \emph{A Qualitative Insight into User Experiences of an Intelligent Tutoring System to Learn Sketching Skills. }
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--42479

Donna Jaison, Hillary E. Merzdorf, Lance Leon Allen White, Kerrie A. Douglas, Karan Watson P.E., and Tracy Anne Hammond.  "A Qualitative Insight into User Experiences of an Intelligent Tutoring System to Learn Sketching Skills. ".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/42479 Internet.  12 May, 2024

\bibitem{asee_peer_42479}
  Donna Jaison, Hillary E. Merzdorf, Lance Leon Allen White, Kerrie A. Douglas, Karan Watson P.E., and Tracy Anne Hammond.
  "A Qualitative Insight into User Experiences of an Intelligent Tutoring System to Learn Sketching Skills. ".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/42479 Internet.  12 May, 2024

@INPROCEEDINGS{asee_peer_42479
author = "Donna Jaison, Hillary E. Merzdorf, Lance Leon Allen White, Kerrie A. Douglas, Karan Watson P.E., and Tracy Anne Hammond"
title = "A Qualitative Insight into User Experiences of an Intelligent Tutoring System to Learn Sketching Skills. "
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/42479}
number = {10.18260/1-2--42479}
}

TY  - CPAPER
AB  - 
Sketching is a valuable skill for many engineering students to support the development of various auxiliary skills such as refined spatial visualization, problem-solving, idea generation, and communication. As the students engage in the engineering design process, sketching skills, along with the auxiliary skills, become valuable tools in future courses and continually in their careers. Explicitly teaching students to sketch is challenging given the instructor-to-student ratio. Hence, intelligent tutoring systems (ITS) are highly beneficial to students in this context to develop these skills actively rather than expect students to develop these skills independently through the needs of other courses. An ITS was introduced through this study to teach sketching skills to students in mechanical engineering courses. The basics of Two-point perspective sketching were the focus of the instruction material facilitated by this ITS. The tutoring platform provides individualized automatic feedback to students immediately after they complete a sketch to inform them of their performance and ultimately to enhance their sketching skill development. This study aims to understand the experiences of graduate and undergraduate mechanical engineering students from three institutions learning sketching through the ITS environment. Our study is guided by the following research questions: 1. What was the engineering student's experience in learning to sketch in an intelligent tutoring platform? 2. What are the strengths, weaknesses, and suggestions for improving the intelligent tutoring system? 3. What are the impacts of the intelligent tutoring System on the sketching self-efficacy of engineering students? 
In this study, researchers collected data through  surveys and semi-structured interviews. The participants were students enrolled in undergraduate and graduate Mechanical Engineering courses at three different institutions where they learned and practiced sketching using the ITS. This study helps us to understand the strengths and weaknesses of the ITS, along with suggestions for how to improve the software from an engineering student perspective. The user experiences of mechanical engineering students were valuable to understand if and how students are finding this particular ITS helpful in their academic lives. The results of the study will be useful to researchers and the engineering education community working to develop educational software tools, to better understand student expectations, and educators interested in identifying a way to incorporate sketching.
AU  - Donna Jaison
AU  - Hillary E. Merzdorf
AU  - Lance Leon Allen White
AU  - Kerrie A. Douglas
AU  - Karan Watson P.E.
AU  - Tracy Anne Hammond
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - A Qualitative Insight into User Experiences of an Intelligent Tutoring System to Learn Sketching Skills. 
UR  - https://peer.asee.org/42479
DO  - 10.18260/1-2--42479
ER  -