K-Means Clustering: A Tool for English Language Teaching Innovations

Authors

  • Minjuan Chen

    Faculty of Social Sciences & Liberal Arts, UCSI University, Kuala Lumpur 56000, Malaysia
  • Tan Wee Hoe

    International Institute of Science Diplomacy & Sustainability, UCSI University, Kuala Lumpur 56000, Malaysia

DOI:

https://doi.org/10.30564/fls.v7i2.8379
Received: 10 December 2024 | Revised: 29 January 2025 | Accepted: 31 January 2025 | Published Online: 25 February 2025

Abstract

How can we ensure teachers receive precise evaluations to excel in classrooms? This study addresses inaccuracies in traditional English teaching competence evaluations by introducing a big data-driven estimation algorithm that employs fuzzy K-means clustering and information fusion. First, we build a model that analyzes key indicators of teaching ability with certain constraints. These constraints help us focus on the most important factors. Then, we use a step-by-step quantitative method to evaluate the teaching competence in our data model. This allows us to extract valuable “fingerprints” of teaching ability. Think of it like finding unique patterns that help us understand teaching effectiveness better. Ultimately, by combining big data information fusion with the K-means clustering algorithm, we cluster and consolidate the indicator parameters of English teaching competence, devise tailored teaching resource allocation strategies, and conduct English teaching competence assessment. Experimental findings indicate that the utilization of this approach for evaluating English teaching competence demonstrates robust information fusion analysis capabilities, thereby enhancing the precision of competence assessment and optimizing the utilization efficiency of teaching resources.

Keywords:

English Teaching; Teaching Ability; Information Fusion; Data Clustering

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How to Cite

Chen, M., & Hoe, T. W. (2025). K-Means Clustering: A Tool for English Language Teaching Innovations. Forum for Linguistic Studies, 7(2), 988–998. https://doi.org/10.30564/fls.v7i2.8379

Issue

Vol. 7 , Iss. 2 (February 2025)

Article Type

Article (This article belongs to the Topical Collection“Technology-Enhanced English Language Teaching and Learning: Innovations and Practices”)

License

Copyright © 2025 Minjuan Chen, Tan Wee Hoe

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.