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Pembelajaran Adaptif Berbasis Teknologi: Upaya Meningkatkan Keterlibatan dan Hasil Belajar Siswa Muharleni
Jurnal Ilmu Sosial, Ekonomi dan Pendidikan Vol. 1 No. 4 (2026): April 2026
Publisher : Suria Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67467/jisep.v1i4.110

Abstract

This study aims to analyze the effectiveness of technology-based adaptive learning in improving student engagement and Indonesian language learning outcomes among elementary school students. The study employed a quantitative approach using a quasi-experimental design with a non-equivalent control group design. The participants consisted of 60 fifth-grade students from an elementary school in Padang, Indonesia, divided into an experimental group and a control group. The experimental group received adaptive learning through a Learning Management System (LMS) equipped with personalized learning features, while the control group received conventional instruction. The learning focus was on reading comprehension and identifying main ideas in nonfiction texts. Data were collected through learning achievement tests, student engagement questionnaires, and classroom observations. Data analysis was conducted using paired sample t-test, independent sample t-test, N-Gain, and Cohen’s d effect size analysis. The findings revealed that technology-based adaptive learning significantly improved students’ learning outcomes compared to conventional learning (p < 0.05), with a large effect size (Cohen’s d = 1.12). In addition, student engagement in the experimental group was higher across cognitive, emotional, and behavioral dimensions. The results indicate that adaptive learning supported by technology creates a more personalized, interactive, and meaningful learning experience. Therefore, technology-based adaptive learning has strong potential to support literacy development and improve the quality of Indonesian language learning in elementary schools in the digital era.
Pembelajaran Adaptif Berbasis Teknologi: Upaya Meningkatkan Keterlibatan dan Hasil Belajar Siswa Muharleni
Jurnal Ilmu Sosial, Ekonomi dan Pendidikan Vol. 1 No. 4 (2026): April 2026
Publisher : Suria Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67467/jisep.v1i4.110

Abstract

This study aims to analyze the effectiveness of technology-based adaptive learning in improving student engagement and Indonesian language learning outcomes among elementary school students. The study employed a quantitative approach using a quasi-experimental design with a non-equivalent control group design. The participants consisted of 60 fifth-grade students from an elementary school in Padang, Indonesia, divided into an experimental group and a control group. The experimental group received adaptive learning through a Learning Management System (LMS) equipped with personalized learning features, while the control group received conventional instruction. The learning focus was on reading comprehension and identifying main ideas in nonfiction texts. Data were collected through learning achievement tests, student engagement questionnaires, and classroom observations. Data analysis was conducted using paired sample t-test, independent sample t-test, N-Gain, and Cohen’s d effect size analysis. The findings revealed that technology-based adaptive learning significantly improved students’ learning outcomes compared to conventional learning (p < 0.05), with a large effect size (Cohen’s d = 1.12). In addition, student engagement in the experimental group was higher across cognitive, emotional, and behavioral dimensions. The results indicate that adaptive learning supported by technology creates a more personalized, interactive, and meaningful learning experience. Therefore, technology-based adaptive learning has strong potential to support literacy development and improve the quality of Indonesian language learning in elementary schools in the digital era.
Pembelajaran Adaptif Berbasis Teknologi: Strategi Meningkatkan Keterlibatan Peserta Didik dan Hasil Belajar Muharleni; Yeni Sulastri
Jurnal Ilmu Sosial, Ekonomi dan Pendidikan Vol. 2 No. 1 (2026): Juli
Publisher : Suria Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67467/jisep.v2i1.202

Abstract

Digital transformation has shifted educational practices toward more personalized, adaptive, and student-centered learning approaches. One of the most promising innovations is technology-based adaptive learning, which integrates Artificial Intelligence (AI), learning analytics, and digital learning platforms to tailor learning experiences according to learners' characteristics, needs, and learning progress. This study aims to analyze the contribution of technology-based adaptive learning to improving student engagement and learning outcomes using a Narrative Literature Review approach. The data were collected from peer-reviewed scholarly publications published between 2020 and 2025 and retrieved from Scopus, Web of Science, ScienceDirect, SpringerLink, ERIC, Taylor & Francis Online, and Google Scholar. The collected literature was analyzed through content analysis to identify major themes, compare research findings, and develop a comprehensive conceptual synthesis. The findings indicate that adaptive learning enhances behavioral, cognitive, and emotional engagement through personalized learning pathways, adaptive feedback, and learning analytics. Furthermore, adaptive learning contributes to improved learning outcomes, critical thinking skills, self-regulated learning, and data-driven instructional effectiveness. However, its implementation continues to face challenges related to digital infrastructure, teachers' digital competencies, data privacy, and the integration of technology with pedagogical practices. Therefore, the successful implementation of adaptive learning requires the synergy of advanced technologies, effective instructional design, institutional support, and responsible AI governance to create more effective, inclusive, and sustainable learning environments in the era of digital education.
Pembelajaran Adaptif Berbasis Teknologi: Strategi Meningkatkan Keterlibatan Peserta Didik dan Hasil Belajar Muharleni; Yeni Sulastri
Jurnal Ilmu Sosial, Ekonomi dan Pendidikan Vol. 2 No. 1 (2026): Juli
Publisher : Suria Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67467/jisep.v2i1.202

Abstract

Digital transformation has shifted educational practices toward more personalized, adaptive, and student-centered learning approaches. One of the most promising innovations is technology-based adaptive learning, which integrates Artificial Intelligence (AI), learning analytics, and digital learning platforms to tailor learning experiences according to learners' characteristics, needs, and learning progress. This study aims to analyze the contribution of technology-based adaptive learning to improving student engagement and learning outcomes using a Narrative Literature Review approach. The data were collected from peer-reviewed scholarly publications published between 2020 and 2025 and retrieved from Scopus, Web of Science, ScienceDirect, SpringerLink, ERIC, Taylor & Francis Online, and Google Scholar. The collected literature was analyzed through content analysis to identify major themes, compare research findings, and develop a comprehensive conceptual synthesis. The findings indicate that adaptive learning enhances behavioral, cognitive, and emotional engagement through personalized learning pathways, adaptive feedback, and learning analytics. Furthermore, adaptive learning contributes to improved learning outcomes, critical thinking skills, self-regulated learning, and data-driven instructional effectiveness. However, its implementation continues to face challenges related to digital infrastructure, teachers' digital competencies, data privacy, and the integration of technology with pedagogical practices. Therefore, the successful implementation of adaptive learning requires the synergy of advanced technologies, effective instructional design, institutional support, and responsible AI governance to create more effective, inclusive, and sustainable learning environments in the era of digital education.