Goal Setting, Self-Monitoring and Self-Regulation Guided by a Digital Data-Driven Study Assistant

Abstract

This Research Proposal starts with a brief description of the SIDDATA-project from which it originates. Both aim at the implementation and investigation of a data-driven digital study assistant supporting university students in goal-setting and self-regulation for individual study goals. As starting point, theoretical backgrounds, such as Goal-Setting-Theory and Social Cognitive Theory are reviewed. Existing practical applications are summarized. From these foundations concrete use cases for our study assistant are derived. The experimental design for an evaluation of the assistant, data analysis methods and a time plan are outlined. Finally the proposal concludes with an outlook on limitations and potential benefits of this research project