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| Content Provider | ACM Digital Library |
|---|---|
| Author | Taele, Paul Hilton, Ethan Linsey, Julie Williford, Blake Hammond, Tracy Keshavabhotla, Swarna Li, Wayne Kumar, Shalini |
| Abstract | Design sketching is a powerful tool for expressing ideas from pen and paper effectively and becoming a more well-rounded communicator. Sketching instructors conventionally employ pen and paper in their classrooms to convey these fundamentals to students. However this traditional approach limits the bandwidth and capability of instructors to give timely and individualized feedback. An intelligent tutoring system can leverage the knowledge of domain expert design sketching instructors so that students can practice and receive real-time feedback outside of classroom hours. Our system leverages consulted instructor insights and observed pedagogical practices of an active university design sketching curriculum, and applies them in a mastery-based progression of exercises that utilize sketch recognition to give real-time feedback. An evaluation of our system's usability in a class of engineering students studying design sketching showed that it performed very well, was seen by the students as a motivating and intuitive practice tool, and allowed the students to improve the accuracy and speed of their sketches. |
| Starting Page | 1 |
| Ending Page | 11 |
| Page Count | 11 |
| File Format | |
| ISBN | 9781450350792 |
| DOI | 10.1145/3092907.3092911 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-07-29 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Design education Art education Sketch-based interface Sketch recognition Intelligent tutoring system |
| Content Type | Text |
| Resource Type | Article |
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