Added an index of previous events

Author: m-messer

docs/events/index.md

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+## Events and Resources
+
+### 2026-06-27 - 2026-06-28 - Build and Deploy Microservices for Automated Feedback
+_Festival of Learning, South Korea_
+
+**See [here](festival-of-learning-26-korea.md) for the overview of the tutorial.**
+
+E-learning platforms are growing increasingly complex, embedding automated assessment and feedback tools to support learning at scale. 
+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. 
+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. 
+This modular architecture allows educational logic to be developed by domain experts and be reused across the entire sector, regardless of the platform employed.
+This tutorial will introduce participants to education microservices for automated feedback using an active e-learning platform.
+Working in mixed-ability groups, participants will design, implement, and deploy a live microservice to evaluate student submissions on a specific learning task. 
+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.
+
+### 2026-03-25 Imperial Festival of Teaching and Learning Workshop
+_London_
+
+This workshop will introduce you to Lambda Feedback, a self-study platform that provides automated feedback, including on essays and handwritten mathematics.
+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.
+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.
+To complete the workshop you can choose a specialist sub-group for a masterclass in:
+
+- Educational chatbots for dialogic feedback
+- Customised automated feedback on submissions
+- Advanced usage of the platform features including latex content management, data analytics, and module evaluations.
+
+
+
+### 2026-02-06 Teaching and Learning Mathematics Online Presentation
+_Online_
+
+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. 
+This presentation will introduce you to Lambda Feedback, a self-study platform that provides automated feedback, including on handwritten mathematics.
+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.
+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.
+
+### 2025-11-26 Imperial Talking Teaching Workshop
+_London_
+
+This workshop will introduce you to Lambda Feedback, a self-study platform that provides automated feedback, including on essays and handwritten mathematics.
+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. 
+Feedback is generated by external microservices, facilitating different educational approaches and allowing feedback on wide variety of topics. 
+These microservices support various technologies, including using recent developments in AI. 
+In this workshop, you will curate self-study tasks with automated formative feedback and test their performance. 
+You will learn about the existing microservices for generating feedback, and possibilities for creating your own microservices on niche topics that you teach. 
+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.