Smart Indonesian language learning: A mobile-based inquiry model with local wisdom context to foster literacy and higher-order thinking skills

Authors

DOI:

https://doi.org/10.55942/pssj.v5i12.725

Keywords:

Inquiry learning model, mobile learning, local wisdom, academic literacy, HOTS

Abstract

This study aimed to develop and test the effectiveness of a mobile-based inquiry learning model with the integration of local wisdom to improve students' academic literacy and higher-order thinking skills (HOTS) in learning Indonesian in higher education. This study used a quasi-experimental design with a pretest-posttest control group. The research instrument was validated through expert and empirical testing, resulting in a validity coefficient of r count > r table (0.361), and Cronbach's alpha reliability between 0.86 and 0.89. The results showed an increase in academic Literacy with N-Gain of 0.63 in the experimental group compared to 0.29 in the control group, and an increase in HOTS with N-Gain of 0.60 in the experimental group compared to 0.27 in the control group. The t-test showed a significant difference (t-count 4.28 and 4.02 > t-table 2.00, p < 0.05). Student responses to this learning model were also very positive (88% positive responses). These findings indicate that integrating inquiry models, mobile learning, and local wisdom effectively creates a smart learning ecosystem relevant to the demands of the 21st century and can strengthen critical Literacy, HOTS, and students' cultural awareness.

Author Biographies

Yuliarti Yuliarti, STMIK Palangkaraya

Yuliarti is a lecturer and researcher at STMIK Palangkaraya, specializing in Indonesian language education, research methodology, and learning strategies. She earned her Bachelor’s degree in Indonesian Language and Literature Education from IKIP PGRI Semarang, her Master’s degree in Education from Universitas Negeri Semarang (UNNES), and her Doctoral degree in Education from Universitas Sebelas Maret (UNS). Her doctoral dissertation focused on developing a local wisdom–based learning model to enhance students’ scientific writing skills. Yuliarti has published several academic works related to language learning, educational models, and curriculum development. Her research interests include language pedagogy, inquiry-based learning, and the integration of local wisdom in education.

Norhayati Norhayati, STMIK Palangkaraya

Norhayati is a lecturer and the Head of the Information Systems Study Program at STMIK Palangkaraya, Indonesia. She has been actively involved in research and academic development, particularly in the areas of interactive learning media, educational technology, and information systems. Her scholarly contributions include studies on interactive learning media based on the local culture of Central Kalimantan for elementary schools, as well as user satisfaction research on the SMART STMIK Palangkaraya application using the End-User Computing Satisfaction method. In addition, she was appointed as the Head of the Certification Scheme for the Informatics Professional Certification Institute (LSP INFINDO).

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Published

2025-12-11

How to Cite

Yuliarti, Y., & Norhayati, N. (2025). Smart Indonesian language learning: A mobile-based inquiry model with local wisdom context to foster literacy and higher-order thinking skills. Priviet Social Sciences Journal, 5(12), 296–305. https://doi.org/10.55942/pssj.v5i12.725
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