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Analysis of the KompuLearn Application to Improve Cognitive Skills According to the Growth Mindset Framework Aisyah Nursyahidah; Enjang Ali Nurdin; Enjun Junaeti; Eka Fitrajaya Rahman; Erna Piantari
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 10 No. 1 (2025)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v10i1.459

Abstract

Informatics education at the vocational high school level continues to face challenges, particularly in students' limited understanding of algorithmic and programming concepts and the prevalence of a fixed mindset. This study aims to enhance students’ cognitive skills and foster a growth mindset by integrating a growth mindset framework into the instructional design of informatics learning. The learning design incorporates the Problem-Based Learning (PBL) model and is supported by a digital mobile application called KompuLearn. The research employed a Research and Development (R&D) methodology using the ADDIE model and a one-group pretest-posttest design. The participants consisted of 30 tenth-grade students from a vocational high school. Results showed an improvement in average scores from 52.6 (pretest) to 76.2 (posttest), with a normalized gain (N-gain) of 51.1%, categorized as moderate. One-way ANOVA analysis revealed a significant difference (p < 0.001) in cognitive gains among students with different mindset tendencies. Moreover, the proportion of students exhibiting growth mindset characteristics increased, as reflected in both the data distribution across learning phases and the questionnaire responses. These findings indicate that integrating a growth mindset framework into informatics learning design—through a PBL approach and digital support—positively contributes to cognitive improvement and mindset development among vocational high school students.
Multimedia Development in Guided Inquiry-Based Learning to Enhance Vocational High School Students' Computational Thinking Skills Muhammad Akmaluddin Andayani Komara; Enjun Junaeti; Erna Piantari; Eka Fitrajaya Rahman
Computing and Education Technology Journal Vol 5, No 1 (2025): APRIL
Publisher : Pendidikan Komputer FKIP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/cetj.v5i1.15228

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.