Research Topic · Peer-Reviewed

Learning Curves

Learning curves display the relationship between the number of repetitions or experiences of an activity and the measure of performance, such as accuracy, achievement, cost, or time taken. They are widely used in the fields of industry and education, as they provide valuable insights into the progress and efficiency…

Curated from this journal's research 📚 1 peer-reviewed article cited Cited 2× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Learning curves display the relationship between the number of repetitions or experiences of an activity and the measure of performance, such as accuracy, achievement, cost, or time taken. They are widely used in the fields of industry and education, as they provide valuable insights into the progress and efficiency of a certain task. By plotting the learning curve, one can quantify how a person or a team's performance evolves over time. This knowledge can then be used to optimize workflows, and to identify training needs or operational distractions in order to ultimately improve the overall performance of that task.

Research published in this journal

1 peer-reviewed article, ranked by relevance. Each links to its DOI.

How this research is being cited

The 1 article above has been cited 2 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Learning Curves, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.