Matching Items (2)
Filtering by

Clear all filters

156448-Thumbnail Image.png
Description
Unethical behavior is a phenomenon that is unavoidable in the workplace. Ethical transgressors, when caught, often receive feedback regarding their actions. Though such moral feedback—feedback that is in response to an ethical transgression—may be aimed at curtailing future unethical behavior, I seek to demonstrate that under certain conditions, moral feedback

Unethical behavior is a phenomenon that is unavoidable in the workplace. Ethical transgressors, when caught, often receive feedback regarding their actions. Though such moral feedback—feedback that is in response to an ethical transgression—may be aimed at curtailing future unethical behavior, I seek to demonstrate that under certain conditions, moral feedback may promote subsequent unethical behavior. Specifically, I propose that moral intensity and affective tone are two primary dimensions of moral feedback that work together to affect ethical transgressor moral disengagement and future behavior. The notion of moral disengagement, which occurs when self-regulatory systems are deactivated, may account for situations whereby individuals perform unethical acts without associated guilt. Despite the burgeoning literature on this theme, research has yet to examine whether feedback from one individual can influence another individual’s moral disengagement. This is surprising considering the idea of moral disengagement stems from social cognitive theory which emphasizes the role that external factors have in affecting behavior. With my dissertation, I draw from research primarily in social psychology to explore how moral feedback affects transgressor moral disengagement. To do so, I develop a typology of moral feedback and test how each moral feedback type affects transgressor future behavior through moral disengagement.
ContributorsBalven, Rachel McCullagh (Author) / Lange, Donald (Thesis advisor) / Wellman, Ned (Committee member) / Welsh, David (Committee member) / Arizona State University (Publisher)
Created2018
155689-Thumbnail Image.png
Description
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

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.
ContributorsHuang, Po-Kai (Author) / Hsiao, I-Han (Thesis advisor) / Nelson, Brian (Committee member) / VanLehn, Kurt (Committee member) / Arizona State University (Publisher)
Created2017