ShareFlows: Seamless Knowledge Capture and Proactive Push for Efficient Teacher Workflows in Higher Education

High staff turnover in higher education often burdens teachers with laborious handovers of teaching tasks every semester. To boost teachers' workflow efficiency, we present an innovative knowledge management tool that allows experienced teachers to seamlessly capture task steps (i.e., denoted as ShareFlow) that can be subsequently recommended to novices via proactive push, all happening during teachers' natural workflow to minimize disruptions. We conducted a controlled experiment with 30 participants and compared our tool against a state-of-the-art baseline knowledge management system powered by a large language model (Claude 3 Haiku). We found that our knowledge management tool reduced task completion time and improved task quality (with statistical significance). Feedback from the participants also indicated the high usability of our tool, suggesting its strong potential for practical adoption for improving teacher workflows.