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Accuracy of self-evaluation in a peer-learning environment: an analysis of a group learning model

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journal contribution
posted on 18.10.2021, 13:46 by Nasir Aminu, Mohammed Hamdan, Christopher Russell
There is a global competitive demand for graduates with soft skills, and higher education institutions are tasked to reduce the employee skill gap. Thus, we investigated the students' perceptions of peer assessment in facilitating engagement in soft-skill development through group work activities. Using group work to measure the effectiveness of students' feedback on their assessment, we posit that students perceive self-assessment in group work as a tool that represents fairness. By focusing on learning in a peer-assisted learning environment, the study is a two-period different observation on the effectiveness and validity of peer assessment practice. We applied a group learning model over two academic sessions to investigate if students can self-evaluate accurately in a peer-learning environment. The employed methods included both qualitative and quantitative analysis. The findings of the study differ from previous findings that students cannot self-assess accurately. Empirically, there was no significant difference between the peer marks and tutor marks. The study also found that peer learning improves students' quality of assessment as they reflect on their work better.

History

Published in

SN Social Sciences

Publisher

Springer

Acceptance Date

29/04/2021

Publication Date

24/05/2021

Version

VoR (Version of Record)

Citation

Aminu, N., Hamdan, M. and Russell, C. (2021) 'Accuracy of self-evaluation in a peer-learning environment: An analysis of a group learning model', SN Social Sciences, 1(7), pp.1-17. https://doi.org/10.1007/s43545-021-00152-3

Electronic ISSN

2662-9283

Cardiff Met Affiliation

  • Cardiff School of Management

Cardiff Met Authors

Nasir Aminu Mohammed Hamdan

Cardiff Met Research Centre/Group

Welsh Centre for Business and Management Research

Copyright Holder

© The Authors

Language

en