Operationalizing and Measuring Academic Procrastination Behavior Using Trace Data

• In Event: AERA Virtual Poster Session 8
  In Poster Session: Motivation and Cognitive Processes

Abstract

A growing body of research points to the negative effects of academic procrastination on students’ learning outcomes and emotional well-being. Procrastination has been measured in the existing studies predominantly using self-report questionnaire measures, and several recent studies call for the use of more sources of data. In this research, we study operationalizing academic procrastination using studying behavior data. We collected data from 31 college students who used a mobile application to plan, set, and manage goals for their schoolwork, use timers to study, and report their past study times. The study found a discrepancy between academic procrastination measured by survey and the proposed formula based on study behaviors reported in-app. Findings are discussed in light of existing literature.

Authors

• Reza Feyzi-Behnagh, University at Albany - SUNY

• Semih Bursali, University of Albany - State University of New York

• Shaghayegh Sahebi, University at Albany - SUNY

• Mengfan Yao, University at Albany - SUNY

• Siqian Zhao, University at Albany - SUNY