Syamsidah, Syamsidah and Jusniar, Jusniar and Ratnawati, Ratnawati and amir, muhiddin (2022) Developing A Locally Wisom Based Discovery Learning Model For MBKM Integrated Students’ Character Reinforcement. IJRTI, 7 (11). pp. 466-470. ISSN 2456-3315
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Abstract
It is a Research and Development adopted by Thiagarajan, Semmel, and Semmel. The model underwent four stages: definition, planning, development, and dissemination. Data were collected through Focus Group Discussion (FGD) involving the Vice Dean (Academic section), head of the study program, and lecturers on Government Ethics. We also conducted interviews to get information and assessment from subject experts about validating Discovery Learning Model content and media. Besides that, we performed trials on lecturers as key informants. After that, we documented the university policies about learning activities, lecturer’s activities report, or format and instrument models. We also used questionnaires, checklists, and scales to get information about subjects’ understanding of the development concept of the DL model to improve students’ character and assessments from lecturers and students about the acceptance, feasibility, and effectiveness of the learning model and media. Finally, data were validated qualitatively by triangulating sources and analyzing them descriptively. The findings show that 1) the development of the local wisdom-based discovery learning model can reinforce MBKM integrated students’ character indicated in some model development stages, including defining, planning, developing, and disseminating; 2) The discovery learning model was valid, effective, and practical. The local wisdom base reinforcement of MBKM integrated students’ characters. The local wisdom presented in the Government Ethics subject trains students to behave in societies, especially when they become leaders or policymakers in the future
Item Type: | Article |
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Divisions: | KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN KARYA ILMIAH DOSEN |
Depositing User: | Jusniar Jusniar |
Date Deposited: | 20 Jun 2023 13:51 |
Last Modified: | 20 Jun 2023 13:54 |
URI: | http://eprints.unm.ac.id/id/eprint/30694 |
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