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March 3, 2026International Journal of Continuing Engineering Education and Life-Long Learning0 citationsOpen Access

An evaluation of online English teaching learning effectiveness based on decision tree classification algorithm

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YQYingying Qi

Key Points

  • The decision tree classification algorithm shows effectiveness in evaluating online English learning.
  • Key metrics indicate significant variations in learning outcomes based on instructional methods used.
  • Analysis employed decision tree algorithms to assess various aspects of online teaching effectiveness.
  • These findings suggest enhanced targeted strategies for improving online English education.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Yingying Qi (2026) studied this question.

synapsesocial.com/papers/69a75e71c6e9836116a290f3https://doi.org/10.1504/ijceell.2026.10076032
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