Peer assessment, done properly
Students rating each other is a useful signal and a dangerous one. The difference is entirely in the design.
Ask students to rate each other and you get something genuinely valuable: a view of contribution that no edit log can capture, like who led, who organised, who carried the meetings. You also get a set of well-documented biases. Whether peer assessment helps or harms depends almost entirely on how you set it up.
What it is good at
Peer marks are more reliable than their reputation suggests. Across many settings, peer assessment shows adequate reliability and validity, with learning effects comparable to teacher assessment. 1 A meta-analysis comparing peer and teacher marks found they agree most closely when peers make global judgements against well-understood criteria, rather than scoring many separate dimensions. 2 That single finding is the most important design instruction in this whole area: keep the judgement holistic and the criteria clear.
Where it goes wrong
The failure modes are real and specific. When scores count toward a grade, students become lenient, and the bias is larger among weaker contributors. 3 Friendship distorts scores too: students over-score peers in general, and closer friends are over-scored even more, an effect that persists even when a rubric is in place. 4 These are not reasons to abandon peer assessment. They are the things your design has to account for.
The bias you can stop worrying about
One fear is overstated. Reciprocity, the worry that students trade favourable ratings, turns out to be tiny in practice: with multiple raters it accounted for only about one percent of the variance in peer-assessment scores. 5 Use enough raters and the "I will rate you well if you rate me well" problem largely takes care of itself.
The design rules that follow
- 1.Keep the grade weight of peer scores modest, not decisive, to blunt leniency. 3
- 2.Ask for a short written justification, not just a number. 3
- 3.Keep ratings confidential, so students rate honestly. 3
- 4.Use clear shared criteria and favour global judgements over many fine dimensions. 2
Turning ratings into marks
The mature way to use peer scores is not as the grade, but as a weighting on the group mark. Open tools have done this for years: WebPA has each student rate teammates and themselves, then moderates the overall group mark into individual marks. 6 Instruments such as CATME formalise the dimensions of team-member effectiveness with validated scales. 7 None of this is experimental; it is established practice.
How Dwixel handles it
Dwixel collects peer assessment confidentially, and students cannot read their own ratings, which is exactly the condition the research recommends. Crucially, it is treated as one signal among several, sitting alongside the objective contribution record and your own academic judgement, rather than being asked to carry the whole grade on its own.
References
- 1.Topping, K. J. (1998). Peer assessment between students in colleges and universities. Review of Educational Research, 68(3), 249–276. Link ↗
- 2.Falchikov, N., & Goldfinch, J. (2000). Student peer assessment in higher education: A meta-analysis comparing peer and teacher marks. Review of Educational Research, 70(3), 287–322. Link ↗
- 3.Yang, A., Brown, A., Gilmore, R., & Persky, A. M. (2022). A practical review for implementing peer assessments within teams. American Journal of Pharmaceutical Education, 86(7), 8795. Link ↗
- 4.Panadero, E., Romero, M., & Strijbos, J.-W. (2013). The impact of a rubric and friendship on peer assessment. Studies in Educational Evaluation, 39(4), 195–203. Link ↗
- 5.Magin, D. J. (2001). Reciprocity as a source of bias in multiple peer assessment of group work. Studies in Higher Education, 26(1), 53–63. Link ↗
- 6.Loddington, S., Pond, K., Wilkinson, N., & Willmot, P. (2009). A case study of the development of WebPA: An online peer-moderated marking tool. British Journal of Educational Technology, 40(2), 329–341. Link ↗
- 7.Ohland, M. W., Loughry, M. L., Woehr, D. J., Bullard, L. G., Felder, R. M., Finelli, C. J., Layton, R. A., Pomeranz, H. R., & Schmucker, D. G. (2012). The Comprehensive Assessment of Team Member Effectiveness: Development of a behaviorally anchored rating scale for self and peer evaluation. Academy of Management Learning & Education, 11(4), 609–630. Link ↗