Multimedia Development in Guided Inquiry-Based Learning to Enhance Vocational High School Students' Computational Thinking Skills

This study aims to develop multimedia-based learning using the Guided Inquiry-Based Learning model to enhance computational thinking skills among vocational high school students in the context of Society 5.0. The research adopts a Research and Development (R&D) approach following the ADDIE model and employs a one-group pretest-posttest design to evaluate its effectiveness. The developed multimedia integrates interactive educational games to support engagement and conceptual understanding. The results indicate a significant increase in students' computational thinking abilities, with average pretest and posttest scores improving from 41.30 to 67.83. The normalized gain scores show moderate improvement across computational thinking elements: decomposition (0.413), abstraction (0.283), pattern recognition (0.263), and algorithmic thinking (0.337). Student responses reveal an 82% satisfaction rate, categorized as "Very Good," reflecting high levels of motivation and engagement. The use of multimedia and interactive games within a guided inquiry framework effectively supports contextual and abstract learning processes, demonstrating its potential as a practical and innovative solution to strengthen computational thinking skills in vocational education.

Authors

Publication Details

Journal
Computing and Education Technology Journal
Published
2025-05-23
DOI
https://doi.org/10.20527/cetj.v5i1.15228
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

Multimedia Development in Guided Inquiry-Based Learning to Enhance Vocational High School Students' Computational Thinking Skills

Erna Piantari, Enjun Junaeti, Eka Fitrajaya Rahman, Muhammad Akmaluddin Andayani Komara
Computing and Education Technology Journal
Teaching and Learning Programming
article

Multimedia Development in Guided Inquiry-Based Learning to Enhance Vocational High School Students' Computational Thinking Skills

Erna Piantari, Enjun Junaeti, Eka Fitrajaya Rahman, Muhammad Akmaluddin Andayani Komara
article en

Abstract

This study aims to develop multimedia-based learning using the Guided Inquiry-Based Learning model to enhance computational thinking skills among vocational high school students in the context of Society 5.0. The research adopts a Research and Development (R&D) approach following the ADDIE model and employs a one-group pretest-posttest design to evaluate its effectiveness. The developed multimedia integrates interactive educational games to support engagement and conceptual understanding. The results indicate a significant increase in students' computational thinking abilities, with average pretest and posttest scores improving from 41.30 to 67.83. The normalized gain scores show moderate improvement across computational thinking elements: decomposition (0.413), abstraction (0.283), pattern recognition (0.263), and algorithmic thinking (0.337). Student responses reveal an 82% satisfaction rate, categorized as "Very Good," reflecting high levels of motivation and engagement. The use of multimedia and interactive games within a guided inquiry framework effectively supports contextual and abstract learning processes, demonstrating its potential as a practical and innovative solution to strengthen computational thinking skills in vocational education.

Computing and Education Technology JournalVol. 5(1)
Openalex Percentile: Top 87%
Teaching and Learning Programming
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