Abstract
This paper introduces a project to develop a digital academic writing tool at Leeds Beckett University (LBU). Essay X-ray is an interactive online tool designed to help students get to grips with the structure and style of academic writing and was developed using the Articulate Storyline 360 platform. The aim was to expand LBU’s academic skills support for students tasked with essay assignments, especially at Level 4, enabling independent learning using a self-paced format available open access and 24/7. This would complement existing academic skills provision (one-to-ones, workshops, drop-ins, static online resources), with the interactive element facilitating active, hands-on learning (Lumpkin, Achen and Dodd, 2015).
Following a successful development, review and rollout process, the utility of Essay X-ray as an independent learning tool but also as a classroom resource was reported by students and colleagues. Tentative talks about additional versions (Dissertation X-ray, Report X-ray) have taken place, indicating its potential for rollout to other subject areas and assessment types.
Finally, in-house digital academic skills tools like Essay X-ray are posited as a potential response to the recent upsurge in Generative Artificial Intelligence (GenAI) tools. Essay X-ray requires users to think critically about essay structure, style and content to create their own original pieces of writing, thus responding to questions about the maintenance of academic integrity in a digital world. These features enable users to develop their essay writing skills, in contrast to passive engagement with a GenAI programme that merely writes an answer for them.
More Information
Divisions: | School of Humanities and Social Sciences |
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Identification Number: | https://doi.org/10.47408/jldhe.vi30.1151 |
Status: | Published |
Refereed: | Yes |
Publisher: | Association for Learning Development in Higher Education |
Additional Information: | © 2024 The Author(s) |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Till, Christopher |
Date Deposited: | 16 Apr 2024 08:22 |
Last Modified: | 11 Jul 2024 13:28 |
Item Type: | Article |
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Read more research from the author(s):
- L Key ORCID: 0009-0000-7249-2778
- C Till ORCID: 0000-0002-3693-7319
- J Maxwell