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dc.contributor.advisorChoe, Yoonsuck
dc.contributor.advisorHsieh, Sheng-Jen
dc.creatorLi, Qinbo
dc.date.accessioned2016-09-22T19:45:07Z
dc.date.available2018-08-01T05:57:38Z
dc.date.created2016-08
dc.date.issued2016-07-26
dc.date.submittedAugust 2016
dc.identifier.urihttp://hdl.handle.net/1969.1/158022
dc.description.abstractIn recent years, the use of Intelligent Tutoring Systems (ITS) in classrooms and communities has increased and they proved to be very effective. For the domain of Computer Numerical Control (CNC), however, existing approaches in ITS are not applicable or will not work well. CNC programming is different from computer programming languages, and students fail to solve CNC programming problems mainly due to two reasons: (1) lack of problem solving skills and (2) misconceptions or missing facts. CNC programming requires that students master a lot of facts and concepts before they try to write a program. We built an ITS for CNC called the “CNC-Tutor” and proposed a data-driven approach that can generate proper hints and feedback during the students’ problem solving process. This approach is based on finding the most similar past submissions with the current student’s solution. The similarity is measured by the proposed “Behavior & Machine state distance” metric. Experiments show that the generated hints can help the students solve the CNC programming problem and the generated feedback can help the students to find their misconceptions. A survey on the effectiveness of our CNC-Tutor shows a positive impact on the students.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectintelligent tutoring system
dc.subjecthint generation
dc.titleAn Intelligent Tutoring System for Computer Numerical Control
dc.typeThesis
thesis.degree.departmentComputer Science and Engineering
thesis.degree.disciplineComputer Science
thesis.degree.grantorTexas A & M University
thesis.degree.nameMaster of Science
thesis.degree.levelMasters
dc.contributor.committeeMemberShipman, Frank M.
dc.type.materialtext
dc.date.updated2016-09-22T19:45:07Z
local.embargo.terms2018-08-01
local.etdauthor.orcid0000-0001-6110-5330


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