Exploring the Potential of an Intelligent Tutoring System for Sketching Fundamentals

要旨

Sketching is a practical and useful skill that can benefit communication and problem solving. However, it remains a difficult skill to learn because of low confidence and motivation among students and limited availability for instruction and personalized feedback among teachers. There is an need to improve the educational experience for both groups, and we hypothesized that integrating technology could provide a variety of benefits. We designed and developed an intelligent tutoring system for sketching fundamentals called Sketchtivity, and deployed it in to six existing courses at the high school and university level during the 2017-2018 school year. 268 students used the tool and produced more than 116,000 sketches of basic primitives. We conducted semi-structured interviews with the six teachers who implemented the software, as well as nine students from a course where the tool was used extensively. Using grounded theory, we found ten categories which unveiled the benefits and limitations of integrating an intelligent tutoring system for sketching fundamentals in to existing pedagogy.

キーワード
Human-Computer Interaction
Drawing
Sketching
Art Education
Design Education
Sketch Recognition
Intelligent Tutoring System
User Experience Design
著者
Blake Williford
Texas A&M University, College Station, TX, USA
Matthew Runyon
Texas A&M University, College Station, TX, USA
Wayne Li
Georgia Institute of Technology, Atlanta, GA, USA
Julie Linsey
Georgia Institute of Technology, Atlanta, GA, USA
Tracy Hammond
Texas A&M University, College Station, TX, USA
DOI

10.1145/3313831.3376517

論文URL

https://doi.org/10.1145/3313831.3376517

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Tutoring & learning

Paper session
313A O'AHU
5 件の発表
2020-04-27 20:00:00
2020-04-27 21:15:00
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