An Introduction to Effective Faculty Evaluation

There are a lot of reasons why peer evaluation of faculty is necessary in institutions of higher learning. Most studies and reviews of the literature on peer review of teaching, for instance, agree that the purpose is to improve learning outcomes for students and provide professors with guidance about how to teach more effectively (Sachs and Parsell, 2014; Stewart and Valian, 2018). When done well, peer review of faculty holds the potential to help cultivate a supportive and collegial environment. Evaluations made by peers vary in nature from providing evaluative (summative) feedback, usually for the purpose of deciding things like promotions and tenure, to developmental (formative) feedback, which is focused primarily on professional development (Cohen and McKeachie, 1980; Brent and Felder, 2004). Ideally, it might involve a combination of both direct (via observations) and indirect assessment (e.g., evaluation of video recordings, written materials, and student performance outcomes) (Keig, 2000).

Faculty at different stages of the tenure process will benefit from opportunities to be recognized for the good work that they do and opportunities to improve. There are many existing models concerning how institutions might implement effective peer evaluations. Some models focus on merging both summative and formative feedback that helps faculty improve while feeling less judged and vulnerable in the process. In one model of peer review of teaching, for instance, the author suggests creating a semi-formal collaborative environment for peer review in which professors can meet with their reviewers in-person both before and following an assessment (Gosling, 2014). This same author argues for the importance of acknowledging faculty autonomy and providing an opportunity in the peer review process for reciprocal learning. In a discussion about faculty evaluation and tenure, Stewart and Valian (2018) advise that the peer evaluation models also include clearly communicated expectations and transparency regarding evaluative criteria.

There are perhaps as many models that exist regarding how to do it well as there are examples of what could go wrong. Passing judgment, after all, is an inherent part of the process and despite its necessity and embeddedness in academic settings, there are shortcomings and potential drawbacks of the peer review process that warrant further discussion and examination. At its worst, peer evaluations may lead to faculty members feeling judged, misunderstood, or undervalued (Ackerman, Gross, and Vigneron, 2009; Brent and Felder, 2004; Stewart and Valian, 2018). Brent and Felder (2004), for instance, point to the inconsistent evaluations of teaching that might occur whenever evaluations are based on a single class observation or source of data. Another publication by Cohen and McKeachie (1980) raises the question of who is best equipped to evaluate teaching within the classroom setting and emphasizes how important it is for professors to evaluate only what they have been trained to effectively judge. Finally, and perhaps most importantly, studies have found that interpersonal, implicit, and group biases (e.g., related to race, gender, age, nationality, and/or sexual orientation) have the potential to interfere with the peer evaluation process (Ackerman, Gross, and Vigneron, 2009; Perna, 2001; Stewart and Valian, 2018). The best models for peer review are designed to address many of these obstacles.

Guiding Principles for Effective Peer Evaluation

Evaluation processes examine faculty performance in the key areas of their work, which typically include some blend of teaching, scholarship, and service. Evaluation looks back at recent performance to identify strengths and weaknesses, and looks forward via the development of thoughtful plans for maintaining or improving performance. Those evaluated and those evaluating actively share information and engage in active, structured dialogue throughout the evaluation process.

Effective evaluation processes are rooted in these general principles:

Clarity

Transparency

Regular and Timely

Collaborative

Accurate, Constructive, Holistic, Actionable Feedback