Effectiveness of the Ibis Paint X-Based E-Module in Technical Drawing for Fashion Technology Training
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Yustin Sagita Dwi Cahyani, Yeri Sutopo, Adhi Kusumastuti

Effectiveness of the Ibis Paint X-Based E-Module in Technical Drawing for Fashion Technology Training

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Introduction

Effectiveness of the ibis paint x-based e-module in technical drawing for fashion technology training. Evaluate the effectiveness of an Ibis Paint X e-module for Technical Drawing in Fashion Technology vocational training. Shows significant improvement in learning outcomes & user satisfaction.

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Abstract

This study aims to test the effectiveness of an e-module based on the Ibis Paint X application in improving learning outcomes of participants in the Technical Drawing material of the Fashion Technology vocational program. The research method uses a quantitative approach with a one-group pretest-posttest design. The instruments used include pre-tests and post-tests, as well as user response questionnaires. Data were analyzed using normality, homogeneity, and N-Gain tests. The results show that the use of the e-module significantly improves the understanding of training participants, with high effectiveness based on the N-Gain test results. Additionally, user responses indicate that the e-module is practical and suitable for use in training. These findings suggest that the integration of the Ibis Paint X application in the e-module supports adaptive and effective digital learning in vocational training environments.


Review

This study investigates the effectiveness of an e-module integrating the Ibis Paint X application for teaching Technical Drawing in a Fashion Technology vocational program. The authors adopted a quantitative approach using a one-group pretest-posttest design to assess its impact on learning outcomes and gather user feedback. The findings reported a significant improvement in participants' understanding, substantiated by high effectiveness scores from N-Gain analysis, alongside positive user responses indicating the e-module's practicality and suitability. This research is timely, addressing the increasing need for adaptive digital learning tools in vocational education settings. While the study provides initial evidence for the utility of the Ibis Paint X-based e-module, certain methodological considerations warrant discussion. The reliance on a one-group pretest-posttest design, while common for preliminary evaluations, inherently limits the ability to definitively attribute observed improvements solely to the e-module. Without a control group or comparison to alternative teaching methods, it is challenging to rule out other confounding factors such as maturation, pre-test sensitization, or simply the act of re-testing. Furthermore, the abstract does not specify the sample size, which is crucial for assessing the generalizability and statistical power of the reported 'significant improvement' and 'high effectiveness' claims. Although N-Gain provides a useful measure of learning gain, its interpretation is strengthened when compared against a baseline or alternative intervention. Despite the aforementioned methodological caveats, the study successfully highlights the potential of integrating readily available digital tools like Ibis Paint X into vocational training curricula, particularly in subjects requiring visual and technical skills like fashion drawing. The positive user responses are encouraging for practical implementation. To further strengthen these findings and enhance the contribution to the field, future research should consider employing a more robust experimental design, such as a quasi-experimental study with a control group, to isolate the e-module's specific impact more rigorously. Additionally, exploring the long-term retention of skills, the module's effectiveness across diverse learning styles, and a comparative analysis with other digital or traditional teaching methods would provide a more comprehensive understanding of its sustained value. This initial investigation serves as a valuable starting point, demonstrating a promising direction for digital innovation in vocational education.


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