Data Analytics

Overview

The Data Analytics focus area within Teaching Enhancement supports the strategic use of teaching and learning data to inform decision-making within the Directorate for Curriculum and Teaching Enhancement. 

This initiative is not a request-driven analytics service. Instead, it operates as a structured, directorate-led project that generates insight to guide how Teaching Enhancement plans, prioritises, and delivers academic development and curriculum support across the university. 

The focus is on the systematic analysis and interpretation of institutional, staff, student, and teaching and learning data to strengthen: 

  • Teaching enhancement strategies 

  • Academic staff development initiatives 

  • Curriculum design, renewal, and programme review 

  • Scholarship of Teaching and Learning 

  • Evidence-informed educational leadership 

Data Analytics work is coordinated by Mr Frederick Mudavanhu, who works closely with the Manager: Teaching Enhancement, Dr Raymond Emekako, to ensure that analytics activities are strategically aligned, appropriately scoped, and situated within the broader CTL mandate. 

Working in collaboration with educational developers, faculties, and institutional partners, the initiative prioritises high-impact, feasible analytics projects that make relevant educational data visible, coherent, and actionable for internal planning and support decisions. The emphasis is on building shared understanding, sustainable systems, and long-term capability, rather than responding to isolated or ad hoc data requests. 

Through this approach, Teaching Enhancement aims to embed data-informed practice as a core component of curriculum development, teaching support, and institutional reflection on teaching and learning at NWU.