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Appraising higher education assessment validity: Development of the PANDORA GenAI Susceptibility Rubric

1/23/2025

 
This just published. I have downloaded the paper, but not yet reviewed it. I share this for others who are interested in the need to evolve assessment practices in the new GenAI age.

Appraising higher education assessment validity: Development of the PANDORA GenAI Susceptibility Rubric

Link to PDF download:
https://journals.sfu.ca/jalt/index.php/jalt/article/view/2429/969

ISSN: 2591-801X
Peter Bannister, Researcher, Universidad Internacional de La Rioja, Spain
Alexandra Santamaría , Urbieta Professor, Universidad Internacional de La Rioja, Spain
Nuria Brufau Alvira, Lecturer, Universidad Internacional de La Rioja, Spain
Picture
Abstract
This paper presents the development and application of the PANDORA GenAI Susceptibility Rubric, a novel tool designed to assess the susceptibility of higher education assessments to the undeclared use of generative artificial intelligence (GenAI) tools. In response to growing concerns about academic integrity and the rising sophistication of GenAI technologies, the rubric provides educators with a structured framework to critically evaluate the validity of their assessments across key criteria, including collaborative authorship, intellectual task complexity, and the opportunity for creativity. Through a mixed-methods design, the rubric was refined to include expert-informed modifications and validated through end-user application across various arts and humanities courses. Results highlight how assessment design can either mitigate or exacerbate GenAI susceptibility, revealing that tasks requiring genuine collaboration, creative thinking, and process-oriented evaluation offer greater resistance to AI manipulation. The rubric also emphasises balancing detailed guidance with student autonomy to avoid facilitating GenAI prompt formulation. This study contributes to the field by offering a practical instrument that promotes more robust, ethically sound, and future-proofed assessment practices. It serves as a critical response to the pressing challenges posed by GenAI in higher education and informs ongoing discourse on academic integrity.

AI vs AI: How effective are Turnitin, ZeroGPT, GPTZero, and Writer AI in detecting text generated by ChatGPT, Perplexity, and Gemini?

1/13/2025

 
New journal article from the Journal of Applied Learning & Teaching

AI vs AI: How effective are Turnitin, ZeroGPT, GPTZero, and Writer AI in detecting text generated by ChatGPT, Perplexity, and Gemini?

DOI Link to article: 
https://doi.org/10.37074/jalt.2025.8.1.9

Abstract:

AI chatbots and LLMs have made a significant impact in a short time. Despite their benefits, they pose serious threats to academic integrity and ethics by generating human-like text, which is very hard to detect. Various AI-detection tools have been developed to tackle this issue. However, their effectiveness is questionable. This study investigates the performance of four AI-detection tools (Turnitin, ZeroGPT, GPTZero, and Writer AI) in detecting AI-generated text. That text was generated using three LLMs (ChatGPT, Perplexity, and Gemini). Furthermore, three adversarial techniques (edited through Grammarly, paraphrased through Quillbot, and 10%-20% editing by a human expert) were applied to see their effects on the performance of AI-detection tools. Turnitin turned out to be the most accurate and consistent one, with a 100% AI score even with the adversarial techniques. ZeroGPT and GPTZero also reported relatively high AI scores, especially with the original files and the first and third adversarial techniques. Among the three adversarial techniques, paraphrasing through Quillbot affected the performance of three AI-detection tools (ZeroGPT, GPTZero, and Writer AI) the most. Among the three LLMs, text generated through Perplexity was more accurately detected, while Gemini-generated text showed a relatively lower AI score. What was the most note-worthy was the fact that in many cases, even when the text was generated through the same LLM, and detected through the same AI-detection tool; different files showed different AI scores, further highlighting the inconsistencies among AI-detection tools.

Core Skills in 2025 - World Economic Forum Report

1/9/2025

 
Picture
AI thought leader Stefan Bauschard posted a link to this World Economic Forum "Future of Jobs Report 2025".

I'm sharing this here because the projected skills align with the benefits of experiential learning pedagogies, especially project-based learning. My research and teaching foci are in these areas.
​

The image above is Figure 3.3 from page 35.

You can download the full report at this link:

https://reports.weforum.org/docs/WEF_Future_of_Jobs_Report_2025.pdf

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