Metal Casting Engineering Courses Assisted by Digital Smart Modules: An Assessment of Experts and Users

Sutopo and Bayu Rahmat Setiadi

Academic Journal of Interdisciplinary Studies, 2020, vol. 9

Abstract: This study aims to: (1) produce a digital smart module (DSM) as a learning resource in aluminum metal casting learning; (2) determine the feasibility of the developed DSM; and (3) determine the user's response to the developed DSM. The current research and development build upon the development procedures proposed by Borg & Gall. The research subjects consisted of material experts, media experts, lecturers, and students. Development procedures in this study include need analysis, expert validation, and user response tests. Data collection was carried out by interview and questionnaire. The instruments used are interview guidelines, product validation questionnaire sheets for material and media experts, and lecturer and student response questionnaire sheets. The questionnaire uses a four-point Likert scale. The data obtained were analyzed using quantitative descriptive method. The results of this study are: (1) a DSM for aluminum metal casting learning, (2) the developed module has met the eligibility criteria based on the assessment of material experts and media experts. Material expert assessment obtained a percentage of 93% included in the excellent category and media expert evaluation obtained a percentage of 93.4% included in the excellent category, and (3) overall user response to the developed DSM is excellent, lecturers response has a percentage of 95% included in the excellent category while the students response students has a percentage of 90% included in the excellent category.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:bjz:ajisjr:1938

DOI: 10.36941/ajis-2020-0085

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