Thesis Defense
Thursday, March 2
Title: Sketchography - Automatic Grading of Map Sketches for Geography Education
Aqib Bhat
10 am, Thursday, March 2, 2017
Room 326 Teague Building
Abstract
Geography is a vital classroom subject that
teaches students about the physical features of
the planet we live on. Despite the importance
of geographic knowledge, almost 75% of 8th
graders scored below proficient in geography
on the 2014 National Assessment of
Educational Progress. Sketchography is a pen-
based intelligent tutoring system that provides
real-time feedback to students learning the
locations, directions, and topography of rivers
around the world. Sketchography uses sketch
recognition and artificial intelligence to understand the user’s sketched intentions. As
sketches are inherently messy, and even the
most expert geographer will draw only a close
approximation of the river’s flow, data has been
gathered from both novice and expert
sketchers. This data, in combination with
professors’ grading rubrics and statistically
driving AI-algorithms, provide real-time
automatic grading that is similar to a human
grader’s score. Results show the system to be
94.64% accurate compared to human grading.
Biography
Biography
Aqib Niaz Bhat obtained his Bachelor of Technology degree in
Electronics and Communication engineering from National Institute of
Technology, Srinagar, India. He is currently a Computer Science Master's thesis
student in the department of Computer Science & Engineering at Texas
A&M University, College Station. He has worked as a software engineer with
Wipro Technologies and interned with Amazon.com. Aqib is a member of the Sketch
Recognition Lab.
Advisor: Dr.
Tracy Hammond
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