Microlearning Factors to Impact the Digital Literature Capabilities in the TikTok Application

In today’s digital era, microlearning has emerged as a transformative educational method. Social media platforms such as TikTok are also used as intended microlearning, where various information is delivered in a short and engaging format, either audio or video. The author intends to explore the various microlearning factors in the TikTok application, such as Content, Duration, Flexibility, and Involvement in increasing the Digital Literature Skills of its users. This study uses a Quantitative Method with the Expanded Technology Acceptance Model (TAM). The technique used in data collection uses the Krejcie Morgan formula by distributing questionnaires online so that a sample size of 400 is obtained. The results of the validity and reliability tests on the data show that all existing variables are declared valid and reliable. It is indicated by Cronbach’s Alpha (CA) value above 0.7 and the Average Variance Extracted (AVE) value above 0.5.

Meanwhile, in the SEM analysis on SmartPLS software, information was obtained that micro-learning factors, including Content (C), Duration (D), Flexibility (F), and Involvement (E), had a significant impact on the Digital Literature Ability (DLC) of its users. It is indicated by the T Statistic value above the confidence level of 95% or 1.96. This study shows that users of the TikTok application highly value concise and engaging audio and visual content. Then, the time users use the application, user flexibility, and user involvement make the TikTok application a micro-learning tool for all its users. Hopefully, with this research, it is hoped that content on a digital platform can be appropriately utilised in improving digital literature skills and designing learning content that is important for people involved in the current and future digital era