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docs/events/festival-of-learning-26-korea.md renamed to docs/events/20260627_fol_kor_26.md

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## Build and Deploy Microservices for Automated Feedback
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_Festival of Learning 2026, South Korea_
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# Build and Deploy Microservices for Automated Feedback
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Tutorial at festival of Learning 2026, South Korea
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**Alexandra Neagu¹, Peter B. Johnson¹, Marcus Messer¹, Fun Siong Lim²**
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¹ Imperial College London, London, UK
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² Nanyang Technological University, Singapore
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[See the extended abstract here]()
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### Key Information

docs/events/index.md

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## Events and Resources
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# Upcoming events
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### 2026-06-27 - 2026-06-28 - Pedagogical Evaluation of Automated Feedback Workshop 2026
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_Festival of Learning, South Korea_
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### Pedagogical Evaluation of Automated Feedback Workshop 2026
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_Festival of Learning, South Korea_.
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2026-06-27 - 2026-06-28
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**Visit the [workshop page](https://peaf-workshop.github.io/2026) for more information.**
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Visit the [peaf-workshop.github.io/2026](https://peaf-workshop.github.io/2026) for more information.
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### 2026-06-27 - 2026-06-28 - Build and Deploy Microservices for Automated Feedback
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_Festival of Learning, South Korea_
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### Build and Deploy Microservices for Automated Feedback
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_Festival of Learning, South Korea_.
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2026-06-27 - 2026-06-28
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**See [here](festival-of-learning-26-korea.md) for the overview of the tutorial.**
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Full information: [tutorial at festival of learning](20260627_fol_kor_26.md).
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E-learning platforms are growing increasingly complex, embedding automated assessment and feedback tools to support learning at scale.
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Yet such tools are usually tightly tied -- locked-in -- to the platforms for which they were built, limiting the pedagogical flexibility of teachers adopting such tools and platforms.
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One approach to addressing this `lock-in' challenge is to source discipline-specific education \emph{microservices} -- modular, independent software or plugins that can be connected to e-learning platforms to perform a specialised task.
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This modular architecture allows educational logic to be developed by domain experts and be reused across the entire sector, regardless of the platform employed.
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This tutorial will introduce participants to education microservices for automated feedback using an active e-learning platform.
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Working in mixed-ability groups, participants will design, implement, and deploy a live microservice to evaluate student submissions on a specific learning task.
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By the end of the tutorial, participants will have contributed a working, publicly accessible automated feedback tool to an open-source education microservice ecosystem and engaged in community discussion on shared education microservice architecture and infrastructure.
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# Previous events
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### 2026-03-25 Imperial Festival of Teaching and Learning Workshop
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_London_
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### Lambda Feedback: Supporting Student Learning with Automated Formative Feedback
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Teaching and Learning Mathematics Online (TALMO), 2026-02-06
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This workshop will introduce you to Lambda Feedback, a self-study platform that provides automated feedback, including on essays and handwritten mathematics.
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Lambda Feedback was developed at Imperial over the past five years and is used widely by thousands of students and hundreds of teachers, providing feedback on over 10,000 questions over 1 million times per year.
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The workshop will prepare you to deploy automated formative feedback in your teaching. After a basic introduction to the system features and creation of static study content for students, we will guide you through configuring and testing automated feedback.
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To complete the workshop you can choose a specialist sub-group for a masterclass in:
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Video recording and abstract of the presentation:
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- Educational chatbots for dialogic feedback
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- Customised automated feedback on submissions
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- Advanced usage of the platform features including latex content management, data analytics, and module evaluations.
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### 2026-02-06 Teaching and Learning Mathematics Online Presentation
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_Online_
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Timely formative feedback on self-study is valuable but practically challenging. Automation of task-level feedback, such as on answers to exercises, can meet this need.
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This presentation will introduce you to Lambda Feedback, a self-study platform that provides automated feedback, including on handwritten mathematics.
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Feedback is generated by external microservices, allowing complete flexibility. This architecture facilitates different educational approaches, and different technology stacks – for example using computer algebra systems (CAS), and/or more recent developments in AI.
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Lambda Feedback was developed at Imperial over the past four years. Its use across the University includes over 60 courses, 10,000+ questions, and over 1 million feedback events.
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### 2025-11-26 Imperial Talking Teaching Workshop
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_London_
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This workshop will introduce you to Lambda Feedback, a self-study platform that provides automated feedback, including on essays and handwritten mathematics.
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Lambda Feedback was developed at Imperial over the past four years. Its use across the University includes over 60 courses, 10,000+ questions, and over 1 million feedback events.
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Feedback is generated by external microservices, facilitating different educational approaches and allowing feedback on wide variety of topics.
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These microservices support various technologies, including using recent developments in AI.
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In this workshop, you will curate self-study tasks with automated formative feedback and test their performance.
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You will learn about the existing microservices for generating feedback, and possibilities for creating your own microservices on niche topics that you teach.
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The feedback microservices are generally open source and widely available, which brings the opportunity for your expertise in teaching to benefit the wider community when they use your bespoke microservices.
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[https://talmo.uk/2026/harnesstechnology.html](https://talmo.uk/2026/harnesstechnology.html)

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# Project tree
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# Project tree "events/index.md"
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nav:
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- Home:
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- "index.md"
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- Publications: "publications.md"
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- Events: events/index.md
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- Opportunities: "opportunities.md"
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- Terminology: "terminology.md"
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- Releases:
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- Major releases: "releases/major_releases.md"
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- Detailed Releases: "releases/detailed_releases.md"
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- Lexdown content editor: "teacher/guides/lexdown.md"
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- Exporting and importing questions: "teacher/guides/question-export-import.md"
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- Analytics: "teacher/guides/analytics.md"
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- Guidance (feature): "teacher/guides/guidance.md"
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- Good practice: "teacher/guides/good-practice.md"
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- Guidance: "teacher/guides/guidance.md"
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- Terminology: "terminology.md"
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- Module evaluation questionnaires (MEQ): "teacher/guides/MEQ.md"
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- FAQ: "teacher/guides/faq.md"
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