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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.
Differentiated Problem Based Learning Elevates Vocational Student Collaboration Skills: Pembelajaran Berbasis Masalah Berdiferensiasi Meningkatkan Kolaborasi Siswa Vokasi Al Husaeni, Dwi Fitria; Rahman, Eka Fitrajaya; Mulyanti, Budi; Riza, Lala Septem; Sulistiyono, Yakub Eriyanto; Pratiwi, Pratiwi
Pedagogia : Jurnal Pendidikan Vol. 15 No. 2 (2026): August
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pedagogia.v15i2.1886

Abstract

General Background Collaboration skills are essential competencies in contemporary education, particularly within problem-based and interactive learning environments. Specific Background Problem-Based Learning integrated with deep learning and differentiated approaches has been proposed to support meaningful engagement and teamwork among vocational students. Knowledge Gap However, empirical evidence on how differentiated PBL combined with deep learning systematically strengthens collaboration skills in formal vocational education remains limited. Aims This study aims to examine the application of differentiated PBL with deep learning to strengthen students’ collaboration skills through iterative classroom action cycles. Results The findings show a progressive increase in collaboration skills from 30.22% in the first cycle to 87.21% in the third cycle, accompanied by improved teaching quality from 46% to 87%, indicating a strong positive relationship between instructional quality and collaborative performance. Novelty The study introduces the integration of differentiation across material, process, and product within PBL and combines qualitative and quantitative observations in a vocational classroom context. Implications These results highlight the importance of adaptive instructional design, learning style mapping, and structured group interaction to foster inclusive, collaborative learning aligned with 21st-century competencies. Highlights• Progressive cycles demonstrate substantial growth in cooperative performance indicators• Adaptive grouping and varied learning products support inclusive participation dynamics• Instructional quality aligns consistently with improved teamwork engagement KeywordsCollaboration Skills; Problem Based Learning; Differentiated Learning; Deep Learning; Vocational Education
Didactic Design Implementation on Algorithms and Programming to Improve Students’ High School Computational Thinking Hassan Hidayatullah; Eka Fitrajaya Rahman; Harsa Wara Prabawa
Jurnal Penelitian Ilmu Pendidikan Vol. 19 No. 1 (2026): March-May
Publisher : Fakultas Ilmu Pendidikan, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpip.v19i1.94345

Abstract

This research is motivated by the urgency of mastering 21st-century skills, particularly Computational Thinking (CT) in Informatics learning, and the prevalence of learning obstacles experienced by students. This study aims to develop a valid and effective didactical design to overcome students' learning obstacles and enhance their CT skills. The research method used is Didactical Design Research (DDR), which encompasses three stages: prospective analysis, metapedidactical analysis, and retrospective analysis. The research subjects involved Senior High School students in SMAN 9 Bandung. Data collection instruments included CT ability tests, interview guides, and classroom observations to identify ontogenic, didactical, and epistemological obstacles. The results indicate that the developed Hypothetical Didactical Design (DDH) proved effective, with a success rate of approximately 77.14% in overcoming students' learning obstacles. The implementation of this design also positively impacted the improvement of CT pillars, including decomposition, pattern recognition, abstraction, and algorithmic thinking. Furthermore, through retrospective analysis, the Empirical Didactical Design (DDE) was formulated to refine the design and address shortcomings identified in the DDH. This study recommends the application of learning obstacles-based didactical design as a responsive alternative strategy for Informatics learning.