A comparative analysis of the skilled use of automated feedback tools through the lens of teacher feedback literacy
Article
Buckingham Shum, S., Lim, L.-A., Boud, D., Bearman, M. and Dawson, P. 2023. A comparative analysis of the skilled use of automated feedback tools through the lens of teacher feedback literacy. International Journal of Educational Technology in Higher Education. 20 (1). https://doi.org/10.1186/s41239-023-00410-9
Type | Article |
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Title | A comparative analysis of the skilled use of automated feedback tools through the lens of teacher feedback literacy |
Authors | Buckingham Shum, S., Lim, L.-A., Boud, D., Bearman, M. and Dawson, P. |
Abstract | Effective learning depends on effective feedback, which in turn requires a set of skills, dispositions and practices on the part of both students and teachers which have been termed feedback literacy. A previously published teacher feedback literacy competency framework has identified what is needed by teachers to implement feedback well. While this framework refers in broad terms to the potential uses of educational technologies, it does not examine in detail the new possibilities of automated feedback (AF) tools, especially those that are open by offering varying degrees of transparency and control to teachers. Using analytics and artificial intelligence, open AF tools permit automated processing and feedback with a speed, precision and scale that exceeds that of humans. This raises important questions about how human and machine feedback can be combined optimally and what is now required of teachers to use such tools skillfully. The paper addresses two research questions: Which teacher feedback competencies are necessary for the skilled use of open AF tools? and What does the skilled use of open AF tools add to our conceptions of teacher feedback competencies? We conduct an analysis of published evidence concerning teachers’ use of open AF tools through the lens of teacher feedback literacy, which produces summary matrices revealing relative strengths and weaknesses in the literature, and the relevance of the feedback literacy framework. We conclude firstly, that when used effectively, open AF tools exercise a range of teacher feedback competencies. The paper thus offers a detailed account of the nature of teachers’ feedback literacy practices within this context. Secondly, this analysis reveals gaps in the literature, signalling opportunities for future work. Thirdly, we propose several examples of automated feedback literacy, that is, distinctive teacher competencies linked to the skilled use of open AF tools. |
Keywords | Feedback literacy; Automated feedback; Learning analytics; Artificial Intelligence; Digital literacy |
Sustainable Development Goals | 4 Quality education |
Middlesex University Theme | Creativity, Culture & Enterprise |
Publisher | SpringerOpen |
Journal | International Journal of Educational Technology in Higher Education |
ISSN | |
Electronic | 2365-9440 |
Publication dates | |
Online | 12 Jul 2023 |
12 Jul 2023 | |
Publication process dates | |
Submitted | 06 Nov 2022 |
Accepted | 13 Jun 2023 |
Deposited | 04 Oct 2023 |
Output status | Published |
Publisher's version | License |
Copyright Statement | © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Digital Object Identifier (DOI) | https://doi.org/10.1186/s41239-023-00410-9 |
Web of Science identifier | WOS:001031771300001 |
Language | English |
https://repository.mdx.ac.uk/item/q38xz
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