Web-Based Programming Grading Assistant: An Investigation of the Role of Students Reviewing Behavior

• Other Authors: Huang, Po-Kai (Author)
• Format: Dissertation
• Language: English
• Published: 2017
• Subjects: Computer science; Educational technology; Blended Instruction Classes; Education Data Mining; Education Technology; Feedback; Review Behavior
• Online Access: http://hdl.handle.net/2286/R.I.44981

abstract: Paper assessment remains to be an essential formal assessment method in today's classes. However, it is difficult to track student learning behavior on physical papers. This thesis presents a new educational technology—Web Programming Grading Assistant (WPGA). WPGA not only serves as a grading system but also a feedback delivery tool that connects paper-based assessments to digital space. I designed a classroom study and collected data from ASU computer science classes. I tracked and modeled students' reviewing and reflecting behaviors based on the use of WPGA. I analyzed students' reviewing efforts, in terms of frequency, timing, and the associations with their academic performances. Results showed that students put extra emphasis in reviewing prior to the exams and the efforts demonstrated the desire to review formal assessments regardless of if they were graded for academic performance or for attendance. In addition, all students paid more attention on reviewing quizzes and exams toward the end of semester. === Dissertation/Thesis === Masters Thesis Computer Science 2017