Comparing Few-Shot Learning with GPT-3 to Traditional Machine Learning Approaches for Classifying Teacher Simulation Responses
- 26 July 2022
- book chapter
- Published by Springer Nature
- p. 471-474
Abstract
No abstract availableKeywords
This publication has 5 references indexed in Scilit:
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- Want To Reduce Labeling Cost? GPT-3 Can Help2021
- GPT-3: Its Nature, Scope, Limits, and ConsequencesMinds and Machines, 2020
- The Teacher Responding Tool: Scaffolding the teacher practice of responding to student ideas in mathematics classroomsComputers & Education, 2019
- Automated Scoring of Constructed‐Response Science Items: Prospects and ObstaclesEducational Measurement: Issues and Practice, 2014