Self-assessment to incite learning in higher education: developing ontological awareness
Abstract
Incorporating self-assessment tasks in higher education involves a conceptual shift of the function of assessment for both learners and teachers. Self-assessment is an innovative assessment initiative that foregrounds ontological knowledge and professional identity in higher education, especially where external professional bodies require additional competencies for learners to be work-ready. As a tool to develop learners’ metacognitive strategies, self-assessment challenges views around learning and assessment. The defined task that constitutes ‘self-assessment’ is considered for two key reasons. First, it is essentially a tool to reflect student-staff partnership in learning and assessment if students are positioned as agentic in the assessment process, and, second, it challenges the relationship between assessment and learning; no longer dichotomous, and more culturally relevant. This paper outlines the introduction of self-assessment over three years in a university postgraduate programme. Using cultural historical activity theory, a framework of analysis that recognises multiple networks of activity, the question ‘what constitutes a self-assessment task?’ is addressed. Results show that the development of self-assessment tasks needs to be considered in the learning-assessment nexus. While these forms of assessment initially unsettle students, they are designed to enable students to participate with an eye on their learning, not the grade.
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Involvement of students in their own assessment process can increase their success rate.
“Hence, the involvement of students in their own assessment process can increase their success rate [43,44].”
From Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education (2022) · cites this paper as [43]
A formative assessment tool for students improves their final grades by using automated feedback, which helps both students and teachers in improving the learning process.
“Reference [43] designs a formative assessment tool for students where they improve their final grades by using automated feedback which helps both students and teachers in improving the learning process.”
From Artificial Intelligence for Assessment and Feedback to Enhance Student Success in Higher Education (2022) · cites this paper as [43]
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- Authors
- Bourke, R.
- Affiliations
- Massey University (NZ)
- Corresponding author
- Bourke, Roseanna
- ORCID
- Bourke, Roseanna
- Venue
- Assessment & Evaluation in Higher Education
- Publisher
- Informa UK Limited
- Published
- 2017-12-05
- Volume
- 43
- Issue
- 5
- Pages
- 827-839
- ISSN
- 0260-2938 (ISSN-L)
- 1469-297X
- OpenAlex
- W2772462743
- Cited by
- 61
- References
- 44
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 12 · 2023: 10 · 2022: 11 · 2021: 7 · 2020: 7 · 2019: 4 · 2018: 1
- FWCI
- 11.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Assessment & Evaluation in Higher Education (publishedVersion)
- Topics
- Social Sciences › Education › Student Assessment and Feedback
- Social Sciences › Education › Higher Education Practises and Engagement
- Social Sciences › Education › Evaluation of Teaching Practices
- Keywords
- self-assessment, higher education assessment, metacognition, professional identity, student-staff partnership, cultural-historical activity theory, graduate education, student agency
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