“How do I ...?”: procedural questions predominate student-LLM chatbot conversations
File(s)
Preprint version
OA Location
Author(s)
Neagu, Alexandra
Messer, Marcus
Johnson, Peter
Nelson, Rhodri
Type
preprint
Abstract
Learning at scale often requires domain-specific automation such as assessment and feedback. An organization locked in to a general learning platform without these specialist automations limits its pedagogical offering. An ecosystem of interoperable, platformagnostic microservices for domain-specific automation would solve this problem. To develop an effective ecosystem , a standard interface (API) for education microservices is required. We propose an initial specification for a standard, platformindependent API for educational microservices, µEd. The API integrates functionality from existing systems in use at four institutions, which are adopting the new API. The API is initially specified for automation of feedback, assessment, and educational chatbots, with further service types envisaged in the future. The API specification provided here enables the development of an ecosystem of education microservices that will facilitate automation in more domains, to more users, providing a richer learning experience in a wide range of disciplines. CCS Concepts • General and reference → Computing standards, RFCs and guidelines; • Applied computing → Education.
Date Issued
2026-02-20
Citation
arXiv, 2026
Journal / Book Title
arXiv
Copyright Statement
Copyright © 2026 The Authors. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
License URL
Description
Preprint version
Subjects
EdTech
Education Technology
API
Automated Assessment
Automated Feedback
Educational Chatbots