Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/121276
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | College of Professional and Continuing Education | - |
| dc.creator | Wut, TM | - |
| dc.creator | Chan, EAH | - |
| dc.creator | Wong, HSM | - |
| dc.date.accessioned | 2026-09-21T06:06:54Z | - |
| dc.date.available | 2026-09-21T06:06:54Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/121276 | - |
| dc.language.iso | en | en_US |
| dc.publisher | MDPI AG | en_US |
| dc.rights | Copyright: © 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en_US |
| dc.rights | The following publication Wut, T. M., Chan, E. A.-h., & Wong, H. S.-m. (2026). Killing Educators’ Nightmare—Opportunities and Challenges When Using GenAI in Marking an Essay Assignment. Education Sciences, 16(2), 270 is available at https://doi.org/10.3390/educsci16020270. | en_US |
| dc.subject | AI-generated grading | en_US |
| dc.subject | Essay assignment | en_US |
| dc.subject | Generative AI | en_US |
| dc.subject | Higher education | en_US |
| dc.subject | Human grading | en_US |
| dc.title | Killing educators’ nightmare : opportunities and challenges when using GenAI in marking an essay assignment | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 16 | - |
| dc.identifier.issue | 2 | - |
| dc.identifier.doi | 10.3390/educsci16020270 | - |
| dcterms.abstract | Generative AI has been used in higher education in teaching and learning. The purpose of this study is to compare the marks generated by GenAI and human educators in essay assignments. The feedback made by GenAI and educators is also examined. A total of 126 submitted assignments from business students in a university were marked by GenAI and by an educator, respectively. It was found that there were small differences in the marks, recorded using a paired sample t test, and there was a moderate correlation between educator and GenAI markings. GenAI feedback follows the rubrics closely, and educators are more likely to give a holistic view of the scripts. GenAI marking might be useful in a large class with specific guidelines for an essay format assignment. | - |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Education sciences, Feb. 2026, v. 16, no. 2, 270 | - |
| dcterms.isPartOf | Education sciences | - |
| dcterms.issued | 2026-02 | - |
| dc.identifier.scopus | 2-s2.0-105031231378 | - |
| dc.identifier.eissn | 2227-7102 | - |
| dc.identifier.artn | 270 | - |
| dc.description.validate | 202609 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | Self-funded | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| education-16-00270.pdf | 199.85 kB | Adobe PDF | View/Open |
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