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All Journal Tekno - Pedagogi : Jurnal Teknologi Pendidikan Naturalistic : Jurnal Kajian dan Penelitian Pendidikan dan Pembelajaran
Kustiana, Kustiana
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Effectiveness of the Deep Learning Oriented FIVES Model in Improving Fifth Grade Elementary Students' Reading Literacy Tantris, Intan Ega; Puspita, Ryan Dwi; Kustiana, Kustiana
Tekno - Pedagogi : Jurnal Teknologi Pendidikan Vol. 16 No. 1 (2026): Tekno-Pedagogi
Publisher : Program Magister Teknologi Pendidikan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/teknopedagogi.v16i1.53487

Abstract

This study aims to analyze the effect of the Deep Learning-oriented FIVES model on the reading literacy skills of elementary school students. This study uses the Research and Development (R&D) research method with the Borg and Gall model. The research subjects consisted of fifth-grade students of SDN Wanakerta for limited testing, and 60 fifth-grade students of SD Negeri Purwadadi II for extensive testing. The instrument used was a reading literacy ability test in the form of a pretest and posttest. Data analysis was carried out through normality tests, Mann-Whitney tests, N-Gain tests, and effect size calculations. The results showed that there was a significant difference in reading literacy skills between the experimental class and the control class after the intervention (sig. = 0.004 < 0.05). The average increase in N-Gain in the experimental class was 57.96% (quite effective category), while in the control class it was 33.38% (less effective category). The effect size calculation showed a value of r = 0.66 which is included in the large category. These findings indicate that the Deep Learning-oriented FIVES model has a significant and strong influence on improving elementary school students' reading literacy skills.
Implementing the CLIS (Children Learning in Science) Model with Canva's Assistance to Improve Elementary School Students' Science Literacy Kartini, Kartini; Hendriana, Heris; Kustiana, Kustiana
Naturalistic: Jurnal Kajian dan Penelitian Pendidikan dan Pembelajaran Vol. 11 No. 1 (2026): Naturalistic: Jurnal Kajian Penelitian dan Pendidikan dan Pembelajaran
Publisher : Jurnal ini diterbitkan oleh: PGSD FKIP Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/naturalistic.v11i1.7630

Abstract

This study departs from the low scientific literacy of Indonesian students, as reflected in the PISA results. The purpose of this study is to analyze the improvement of scientific literacy and compare it between students treated using the CLIS model assisted by Canva and conventional learning. The method used is a pre-experiment with a one-group pretest-posttest design on 30 fifth-grade elementary school students. Data collected through a scientific literacy test with 12 questions (10 PG and 2 essays) and observations, then analyzed using validity, reliability, normality, and Paired Sample T-test . The results of the study indicate that the test instrument for question validity and reliability are valid and reliable. The results of the pretest and posttest normality tests are normally distributed. The Paired Sample T-test produced a Sig. value of 0.001 <0.05, which indicates a significant difference between the pretest and posttest scores. Thus, the application of the CLIS (Children Learning In Science) model assisted by Canva has been proven effective in improving the scientific literacy of elementary school students. The implications of this study provide empirical evidence of an effective synthesis between the constructivist approach (CLIS model) and educational technology (Canva), offering practical and contextual solutions for teachers to optimize science learning in elementary school. Thus, it is concluded that the integration of the CLIS model with Canva visual media is an innovative strategy that can improve the scientific literacy of elementary school students.
Co-Authors Heris Hendriana Kartini Kartini Ryan Dwi Puspita Tantris, Intan Ega