Assessing and Evaluating E-Mentoring Programs

Abstract

Meaningful evaluation of e-mentoring requires moving beyond simple participation metrics to assess relationship quality, developmental outcomes, and program impact across multiple stakeholder perspectives. This chapter presents evaluation as an ongoing learning process rather than an endpoint judgment, emphasizing formative assessment that enables real-time program adjustments. The chapter explores multiple data sources, including surveys, learning analytics, mentee reflections, and mentor feedback, while acknowledging that e-mentoring’s most significant benefits, including belonging, identity development, and confidence, still resist easy quantification. Developmental evaluation frameworks prove particularly appropriate for e-mentoring given programs’ adaptive nature and context-specific goals. The chapter provides practical guidance on selecting appropriate metrics, designing surveys that capture relational dimensions, analyzing digital trace data ethically, and balancing accountability demands with authentic representation of mentoring’s complexity. Effective evaluation serves program improvement and demonstrates value to stakeholders while honoring participant experiences and avoiding reductive metrics that misrepresent relationship-based work.