Open AccessEffectiveness of Metacognitive Learning’s Model in Engineering
Author(s) -
Selamat Riadi,
Selamat Triono,
Syahril Syahril,
Dicky Nofriansyah
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1457.109119
Subject(s) - industrial revolution , competence (human resources) , metacognition , knowledge management , computer science , engineering , engineering ethics , artificial intelligence , engineering management , psychology , political science , management , economics , cognition , neuroscience , law
The Industrial Revolution Era 4.0 is a continuation of the era of society 3.0. One of the fields that experienced obstacles in facing this era was the industry sector. In creating experts in the industrial world, especially machinery, is not easy. One of the efforts made in improving the competence of workers in the field of machinery by adopting an appropriate learning model. During this learning model used in the field of machinery including work based learning and project based learning. These models experience constraints including the lack of relevance to the actual industrial world. This study discusses the effectiveness of the TEFA learning model in improving the quality of learning and ultimately producing machinery workers who have good competence in accordance with bloom's taxonomy at level 5