Published June 23, 2023 | Version v1

Development of Ecosystem-Based Material Modules Discovery Learning with Media QR Scanner HP to Increase Problem Solving Skill (Class X Mipa 5 SMA Batik 1 Surakarta)

  • 1. Universitas Sebelas Maret

Description

ABSTRACT: This study aims to: 1) determine the characteristics of discovery learning- based modules with HP QR scanner media to improve students' problem-solving skills; 2) find out the feasibility of discovery learning-based modules with HP QR scanner media to improve students' problem-solving skills; 3) knowing the effectiveness of discovery learning-based modules with HP QR scanner media to improve students' problem-solving skills. This science learning tool development research uses the ADDIE procedure which consists of five stages, namely: 1) analysis, 2) design, 3) develop, 4) implementation, and 5) evaluation. The data analysis research instruments used were Aiken's descriptive analysis and validity (score 0.87 with high validity category) for preliminary and feasibility studies and inferential analysis using independent t-test (score 0.000) to determine the effectiveness of development products on students' problem-solving abilities. The study was conducted at SMA Batik 1 Surakarta with a sample of 32 grade X students. The conclusions of this study are: 1) the discovery learning-based module with HP QR scanner media developed has five main characteristics, namely: a) improving problem solving skills; b) concrete problem-based; c) student centered; d) discovery learning; and e) focusing on essential materials; 2) the discovery learning-based module with the developed HP QR scanner media was declared eligible (valid) for use in SMA/MA based on limited trial results and a validity score of 0.945 with a high validity category; 3) discovery learning-based modules with HP QR scanner media developed effectively improve students' problem- solving abilities, with an experimental class n-gain score of 0.504 (upper medium) and control class 0.360 (lower medium).

Files

43-23-2023.pdf

Files (494.1 kB)

Name Size
md5:2fa2113bf4b5d9a0118d04b6d815b94f
494.1 kB Preview Download