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Android E-Module Improves Reading Skills in English Language Learning: E-Modul Android Meningkatkan Keterampilan Membaca dalam Pembelajaran Bahasa Inggris Zulfalilah, Fariza; Darmawan, Deni; Rahayu, Ayu Puji
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.1462

Abstract

General Background: In the digital era, enhancing English language competencies, especially reading skills, is essential to support students’ global communication capabilities. Specific Background: Despite its significance, reading remains a major challenge among Indonesian vocational high school students, partly due to the lack of engaging learning media. Knowledge Gap: Existing e-modules tend to rely on desktop platforms and fail to leverage the accessibility and interactivity of smartphones for independent learning. Aims: This study aimed to develop and evaluate an Android-based e-module using the ADDIE model to improve students' reading skills in English. Results: The product underwent validation by content and media experts with excellent results and was tested on 35 students in a private vocational school in Garut. Post-intervention analysis using regression techniques confirmed a positive correlation between e-module use and improved reading skills, with significant increases in post-test scores. Novelty: Unlike previous modules, this e-module integrates interactive multimedia and is accessible via mobile apps, allowing self-paced learning anytime and anywhere. Implications: The study demonstrates that Android-based e-modules are effective in enhancing reading comprehension and can serve as a scalable model for similar innovations in other subjects and language skills.Highlight : Developed an Android-based e-module using the ADDIE model to improve students' English reading skills. Validated as highly feasible by both material and media experts with >90% effectiveness. Reading skills of vocational students showed measurable improvement through linear regression analysis. Keywords : Android, E-module, Reading Skill, English Learning, ADDIE Model  
Microscopic Examination of Acid-Resistant Bacils in Closed Contacts of Patients With Tuberculosis in The Working Area Of The UPTD Puskesmas Cilegon Rahayu, Ayu Puji; Silviani, Yusianti
Jurnal Biologi Tropis Vol. 24 No. 4 (2024): Oktober - Desember
Publisher : Biology Education Study Program, Faculty of Teacher Training and Education, University of Mataram, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbt.v24i4.6980

Abstract

Tuberculosis is a contagious disease caused by Mycobacterium tuberculosis. The transmission of pulmonary TB occurs by the emission of droplets who are positive for the disease. Attempts were undertaken to examine interactions between cadres and the community. The patient's close contacts underwent microscopic inspection utilising the Ziehl Neelsen staining procedure. Between 2023 and October, a total of 360 cases of tuberculosis will be investigated using the ZN painting method. Among the close contacts of the 72 patients, 20% (6 individuals) will be identified as having tuberculosis. This study aimed to assess the outcomes of BTA microscopic examination conducted on close household contacts within the operating region of UPTD Puskesmas Cilegon in 2024. The research method employed a descriptive observational approach with a cross-sectional design. The study was carried out from 1 February to 9 March 2024 at the UPTD Puskesmas Cilegon. The sample technique employed is purposive sampling. The study findings revealed that out of the total number of respondents, 32 individuals reported having direct contact with individuals affected by tuberculosis. Among these respondents, 13 (40.6%) were male and 19 (59.4%) were female. Out of the 32 individuals who had close contact, one respondent (3.3%) tested positive for BTA when microscopic inspection was conducted. The proximity to the afflicted individual directly correlates with the heightened likelihood of transmission. Proximity between those who are infected and their close contacts can lead to the transmission of the infection, even when sharing the same sleeping space.
Enhancing TPACK and Statistical Literacy through Generative AI–Based Adaptive Learning: A Mixed-Methods Study Maryati, Iyam; Gumilar, Surya; Rahayu, Ayu Puji; Harun, Makmur
Mosharafa: Jurnal Pendidikan Matematika Vol. 15 No. 1 (2026): January
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v15i1.3491

Abstract

Penelitian ini mengkaji dampak kerangka pembelajaran adaptif terintegrasi Generative Artificial Intelligence (GenAI; ChatGPT) terhadap peningkatan Technological Pedagogical and Content Knowledge (TPACK) dan literasi statistis calon guru matematika. Kerangka tersebut menerapkan interaksi dialogis berbasis mahasiswa, structured prompting, dan scaffolding dosen untuk mempersonalisasi eksplorasi statistika. Dengan desain kuasi-eksperimen mixed methods, penelitian melibatkan 72 mahasiswa (37 kelompok eksperimen dan 35 kontrol). Data kuantitatif dianalisis menggunakan uji t berpasangan dan ANCOVA, sedangkan data kualitatif dianalisis secara tematik. Hasil menunjukkan kedua kelompok meningkat secara signifikan, namun kelompok eksperimen memiliki skor akhir tersesuaikan yang lebih tinggi. Temuan kualitatif menegaskan peningkatan pemahaman konseptual, kemampuan desain pembelajaran berbasis teknologi, serta refleksi kritis terhadap etika penggunaan AI. Studi ini mendukung integrasi literasi AI dalam kurikulum pendidikan guru. This study examines the impact of a Generative Artificial Intelligence (GenAI; ChatGPT)–integrated adaptive learning framework on improving Technological Pedagogical and Content Knowledge (TPACK) and statistical literacy among prospective mathematics teachers. The framework employed student-driven dialogic interaction, structured prompting, and lecturer-guided scaffolding to personalize statistical exploration. Using a mixed-methods quasi-experimental design, 72 students participated (37 experimental, 35 control). Quantitative data from tests and questionnaires were analyzed using paired t-tests and ANCOVA, while interviews and observations underwent thematic analysis. Results showed significant gains in both groups, but the experimental group achieved higher adjusted posttest scores, indicating superior effectiveness of GenAI-integrated learning. Qualitative findings highlighted improved conceptual understanding, instructional design skills, and critical reflection on ethical AI use. The study supports embedding AI literacy and pedagogically grounded prompting within teacher-education curricula and institutional policy.