RBL-STEM Model Learning Activity Framework: VCO (Virgin Coconut Oil) Development Analysis Using Artificial Neural Network to Improve Student Metacognition

DOI

10.2991/978-94-6463-174-6_14How to use a DOI?

Keywords

Artificial Neural Network; Metakognition; RBL; STEM; VCO

Abstract

The ability to metacognition students is needed in welcoming the era of the industrial revolution 4.0 and technological disruption as it is today. Metacognition is a person’s ability to regulate and control cognitive processes in learning and thinking so that they become more effective and efficient. Metacognition is generally related to the dimension of one’s thinking which can be divided into two parts, namely, the awareness that a person has about his thinking (selfawareness of cognition) and the ability of a person to use his consciousness to regulate his thought processes (self-regulation of cognition). This metacognition can be achieved by cultivating High Order Thinking Skills. Therefore, a research-based learning or RBL (Research Based Learning) approach with a STEM (Science, Technology, Engineering and Mathematics) approach is needed. This study aims to develop a framework of learning activities with the RBL model with a STEM approach through the analysis of making VCO (Virgin Coconut Oil) in improving student metacognition using artificial neural networks. The method used in this study is a narrative qualitative method, which is to develop a syntax of the RBL learning model with a STEM approach. The main results of the study are in the form of a learning activity framework in the form of a description of the four STEM elements and a description table of the six stages of RBL learning activities that will be carried out in the classroom.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rina Sugiarti Dwi Gita
AU  - Waris
AU  - H. B. A. Jayawardana
PY  - 2023
DA  - 2023/05/22
TI  - RBL-STEM Model Learning Activity Framework: VCO (Virgin Coconut Oil) Development Analysis Using Artificial Neural Network to Improve Student Metacognition
BT  - Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022)
PB  - Atlantis Press
SP  - 157
EP  - 173
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-174-6_14
DO  - 10.2991/978-94-6463-174-6_14
ID  - Gita2023
ER  -