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All Journal Edcomtech: Jurnal Kajian Teknologi Pendidikan
Eva Latifah
Institut Pendidikan Indonesia Garut

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Development of Digital-Based STAD-PjBL Blended Learning Model for Indonesian Language Persuasion Text Learning Class VI Elementary School Eva Latifah; Iman Nasrulloh; Deni Darmawan
Edcomtech: Jurnal Kajian Teknologi Pendidikan Vol. 11 No. 2 (2026): On Progress
Publisher : Universitas Negeri Malang in collaboration with APSTPI and IPTPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um039v11i22026p373-387

Abstract

Indonesian language instruction at SDN 2 Sukaratu faces unequal technology access among sixth-grade students, while a student survey indicated a continued need for face-to-face guidance. This study develops a blended learning model combining offline instruction using the STAD cooperative model with online instruction using a digital-based Project Based Learning (PjBL) model for the Persuasive Text unit in Grade VI, and examines its feasibility through expert validation. The study used a Research and Development approach following the ADDIE model adapted into five procedural stages: needs analysis, design, development, implementation, and evaluation/revision. The products were a learning website/Learning Management System (LMS) and an e-module (e-module). Feasibility was examined through validation by three experts (instructional design, content, multimedia) using scaled questionnaires, followed by a one-to-one trial with 20 students. Expert validation showed feasibility scores of 84.2% (design), 86.5% (content), and 83.8% (multimedia), all in the very feasible category based on established percentage-interpretation criteria. The one-to-one trial showed a mean N-Gain of 0.61 (medium category). The digital-based STAD-PjBL blended learning model is feasible as an alternative Indonesian language teaching strategy for elementary schools with limited technology access, while its effectiveness on learning outcomes requires further study based on field-trial data.
Co-Authors Deni Darmawan Nasrulloh, iman