Educational Data Mining in Tiktok We Media Short Videos Based on K-Means Algorithm
Yiwen Chen · 2024
As digital technology continues to burgeon, social media platforms have emerged as significant areas for the creation and dissemination of a large amount of information, thus fostering an abundance of potential educational resources. This study employs the K-means clustering algorithm for a thorough exploration and analysis of TikTok We Media short videos, specifically focusing on “Escape from the British Museum”. The objective is to uncover the latent educational value and to probe into the feasible integration of these resources into pedagogical practices. The findings of this investigation reveal that: (1) We Media short videos are replete with a vast array of educational resources; (2) These educational resources exhibit significant content clustering, which aids in their broad dissemination; (3) The incorporation of empathic communication enhances the efficacy of understanding educational content. This research propounds new resources and strategies for educators and learners alike, paving the way for innovation and effective educational content delivery.