SIGCSE TS 2023 (series) / Juho Leinonen
Registered user since Sat 11 Jul 2020
Name:Juho Leinonen
Bio:
Postdoctoral Researcher at The University of Auckland
Country:New Zealand
Affiliation:The University of Auckland
Personal website: https://juholeinonen.com
X (Twitter): https://x.com/leinonen_juho
Research interests:Learning Technologies, Learning Analytics, Computing Education, Large Language Models, AI in Education
Contributions
2023
SIGCSE TS
- G is for Generalisation: Predicting Student Success from Keystrokes
- Using Large Language Models to Enhance Programming Error Messages
- The Implications of Large Language Models for CS Teachers and Students
- Committee Member in Subcommittee: Global
- Automatically Generating CS Learning Materials with Large Language Models
- Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book
- Computing Education Postdocs and Beyond: Building a Postdoc Space for Community and Collaboration
SIGCSE TS 2023-profile
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