Thesis Defense
Friday, June 10
Title: PerSketchTivity: Recognition and Progressive Learning Analysis
Swarna Keshavabhotla
3:30pm Friday, June 10, 2016
Room 326 Teague Building
Abstract
Development
of novice computing technologies has opened the door for computer-
based tutoring systems in areas where it was previously not possible.
Sketch-based tutoring systems
are being developed for subject domains, which involve diagram- matic
representations for problem solving. In this thesis, we present
PerSketchTivity, a sketch-based tutoring system for design sketching
that allows students to hone their skills in design sketching
and self-regulated learning through real-time feedback. Students learn
design-sketching fundamentals through drawing exercises of reference
shapes starting from basic to complex shapes in all dimensions and
subsequently receive real-time feedback assessing
their performance.
PerSketchTivity
consists of a recognition system, which recognizes the correctness of
the sketch on the fly, on completion, feedback system provides real-time
feedback and the evaluation
system evaluates the sketch based on various features like error,
smoothness and speed. The focus of this thesis is to evaluate the
performance of the system in terms of the recognition efficiency and
also the impact on the drawing skills of the students practicing
with this system.
Biography
Swarna
Keshavabhotla is a MS candidate at Texas A&M University department
of Computer Science and Engineering. She is a member of Dr. Tracy
Hammond's Sketch Recognition Lab. The
focus of her research is development of sketch recognition algorithms
for assessment in Intelligent Tutoring Systems and feedback mechanisms
for enhancing the impact of the system on students' skills. Swarna
received her Bachelors degree in India.
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