Teacher-Identified Indicators of Competence in Peer Assessment Among Adolescents
Keywords:
education, teacher perspectives, formative assessment, social-emotional skills, metacognition, educational assessmentAbstract
This study aimed to identify the indicators of competence in peer assessment among adolescents as
perceived by secondary school teachers in Tehran. A qualitative research design was employed involving
semi-structured interviews with 17 secondary school teachers experienced in facilitating peer
assessment. Participants were purposefully sampled from schools in Tehran. Data collection continued
until theoretical saturation was reached. Interviews were audio-recorded, transcribed verbatim, and
analyzed using thematic analysis supported by NVivo software to identify key themes and subthemes
reflecting teacher-identified competence indicators. Analysis revealed three main themes representing
competence in adolescent peer assessment: cognitive competence, social-emotional competence, and
metacognitive and ethical competence. Cognitive competence included understanding assessment
criteria, analytical skills, constructive feedback, self-reflection, consistency, justification, and task
engagement. Social-emotional competence encompassed empathy, communication skills, conflict
resolution, motivation to support peers, emotional regulation, and trustworthiness. Metacognitive and
ethical competence involved ethical awareness, accountability, openness to feedback, reflective practice,
and a peer learning orientation. Teachers emphasized that effective peer assessors demonstrate a dynamic
interplay of these competencies, enabling them to provide reliable, respectful, and reflective assessments
that contribute to both individual and peer learning. Competence in adolescent peer assessment is a
multidimensional construct that extends beyond cognitive skills to include crucial social-emotional and
metacognitive-ethical dimensions. Recognizing and nurturing these competencies is essential for
teachers to foster meaningful and equitable peer assessment experiences. These findings provide a
practice-informed framework to guide teacher training, assessment design, and policy development
aimed at enhancing peer assessment efficacy in secondary education.
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References
Bagheri, M., Abdullah, M. C., & Daud, S. M. (2022). Teachers’ perspectives on peer assessment in Iranian EFL classrooms: Benefits,
challenges, and practices. Asia Pacific Education Review, 23(2), 247-261. https://doi.org/10.1007/s12564-021-09700-6
Bennett, R. E. (2011). Formative assessment: A critical review. Assessment in Education: Principles, Policy & Practice, 18(1), 5-25.
https://doi.org/10.1080/0969594X.2010.513678
Boud, D., & Molloy, E. (2013). Rethinking models of feedback for learning: The challenge of design. Assessment & Evaluation in Higher
Education, 38(6), 698-712. https://doi.org/10.1080/02602938.2012.691462
Double, K. S., McGrane, J. A., & Hopfenbeck, T. N. (2020). The impact of peer assessment on academic performance: A meta-analysis of
control group studies. Educational Psychology Review, 32, 481–509. https://doi.org/10.1007/s10648-019-09510-3
Gielen, S., Peeters, E., Dochy, F., Onghena, P., & Struyven, K. (2011). Improving the effectiveness of peer feedback for learning. Learning
and Instruction, 21(4), 304–315. https://doi.org/10.1016/j.learninstruc.2010.08.004
Kuhn, D. (2015). Thinking together and alone. Educational Researcher, 44(1), 46-53. https://doi.org/10.3102/0013189X15569530
Nicol, D., & Macfarlane‐Dick, D. (2006). Formative assessment and self‐regulated learning: A model and seven principles of good feedback
practice. Studies in Higher Education, 31(2), 199-218. https://doi.org/10.1080/03075070600572090
Nicol, D., Thomson, A., & Breslin, C. (2014). Rethinking feedback practices in higher education: A peer review perspective. Assessment &
Evaluation in Higher Education, 39(1), 102-122. https://doi.org/10.1080/02602938.2013.805951
Panadero, E. (2016). Is it safe? Social, interpersonal, and human effects of peer assessment: A review and future directions. Frontiers in
Psychology, 7, 646. https://doi.org/10.3389/fpsyg.2016.00646
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 422.
https://doi.org/10.3389/fpsyg.2017.00422
Panadero, E., & Broadbent, J. (2018). Developing evaluative judgment: A self-regulated learning perspective. In D. Boud, R. Ajjawi, P.
Dawson, & J. Tai (Eds.), Developing evaluative judgement in higher education: Assessment for knowing and producing quality work (pp.
107–116). Routledge.
Panadero, E., Jonsson, A., & Botella, J. (2018). Effects of self-assessment on self-regulated learning and self-efficacy: Four meta-analyses.
Educational Research Review, 24, 1-19. https://doi.org/10.1016/j.edurev.2018.09.003
Sluijsmans, D., Brand-Gruwel, S., van Merriënboer, J., & Martens, R. (2002). Training teachers in peer-assessment skills: Effects on
performance and perceptions. Innovations in Education and Teaching International, 39(1), 59-71.
https://doi.org/10.1080/13558000110097058
Steinberg, L. (2014). Age of Opportunity: Lessons from the New Science of Adolescence. Houghton Mifflin Harcourt.
Strijbos, J. W., Narciss, S., & Dünnebier, K. (2015). Peer feedback content and sender’s competence level in academic writing revision tasks:
Are they related? Instructional Science, 43, 387–403. https://doi.org/10.1007/s11251-015-9341-6
Volume 2, Issue 4
9
Topping, K. J. (2017). Peer assessment: Learning by judging and discussing the work of other learners. Interdisciplinary Education and
Psychology, 1(1), 1–17. https://doi.org/10.31532/InterdiscipEducPsychol.1.1.007
Van Zundert, M., Sluijsmans, D., & van Merriënboer, J. (2010). Effective peer assessment processes: Research findings and future directions.
Learning and Instruction, 20(4), 270–279. https://doi.org/10.1016/j.learninstruc.2009.08.004
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Webb, N. M. (2013). Information processing approaches to collaborative learning. In C. Hmelo-Silver, C. A. Chinn, C. Chan, & A. O'Donnell
(Eds.), The international handbook of collaborative learning (pp. 19–40). Routledge.
Yu, F.-Y., & Wu, C.-P. (2016). Predictive effects of online peer feedback types on performance quality. Educational Technology & Society,
19(2), 109–121.
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