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Feedback, affect, and creative behavior: a multi-level model linking feedback to performance

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Researchers lament that feedback interventions often fail. Traditional theories assume a cognitive relationship between the receipt of feedback and its impact on employee performance. I offer a theoretical model derived from Affective Events and Broaden and Build Theories to shed

Researchers lament that feedback interventions often fail. Traditional theories assume a cognitive relationship between the receipt of feedback and its impact on employee performance. I offer a theoretical model derived from Affective Events and Broaden and Build Theories to shed new light on the feedback-performance relationship. I bridge the two primary streams of feedback literature-the passive receipt and active seeking-to examine how employees' affective responses to feedback drive how they use feedback to improve performance. I develop and test a model whereby supervisor developmental feedback and coworker feedback seeking relate to the positivity ratio (the ratio of positive as compared to negative affect), enabling them to be more creative and thus improving their performance. I test my model using Experience Sampling Methodology with a sample of MBA students over a two week working period.

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2014

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

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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

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.

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2017