Added AI microservices paper

Author: peterbjohnson

docs/publications.md

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 - General overview (6 pages) of the literature and thinking behind automated formative feedback, with some community inputs on how we should evaluate automated feedback. Good for educators wanting a general framing of our approach.
 
+#### 2025c: AI microservices for sustainable innovation in education
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+- [:material-download: Download PDF](assets/publications/AI_Microservices_for_Sustainable_Innovation_in_Education-v3.pdf) pre-print under review. Also available on OSF: [https://osf.io/preprints/edarxiv/wq4bd_v3](https://osf.io/preprints/edarxiv/wq4bd_v3)
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+- Extended manifesto on why the education sector should use microservices for automated judgement in education. Reviews literature on systems engineering, software architecture, and eco-systems. Articulates the role of modules, interoperability, and microservices. Focuses on arguments for innovation and ethical use of AI. Results from deployments of microservices in Lambda feedback show how such a system can work in future. Highlights the needs for the future. This paper is a long read (~30 pages), providing the detailed thinking behind Lambda Feedback.
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 #### 2024: Automated Feedback on Student Attempts to Produce a Set of Dimensionless Power Products from a Set of Physical Quantities that Describe a Physical Problem
 
 - [:material-download: Download PDF](assets/publications/Lundengard_etal_2023_Preprint_Automated_feedback_on_dimensionless_power_products_from_physical_quantities.pdf) or access via [International Journal for Technology in Mathematics Education](https://www.ingentaconnect.com/content/resinf/tme/2024/00000031/00000003/art00003)