Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022)

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RBL-STEM Learning Activities: Analysis of Transgenic Sugarcane Development Using Artificial Neural Networks in Improving Students’ Combinatorial Thinking Skills

Authors
Ahdatu Uli Khikamil Maulidiya1, *, Bambang Sugiharto2, Joko Waluyo1, Dafik1, 3, Indrawati1
1Department of Science Education Postgraduate, University of Jember, Jember, Indonesia
2Department of Mathematics and Natural Science, University of Jember, Jember, Indonesia
3PUI-PT Combinatorics and Graph, CGANT, University of Jember, Jember, Indonesia
*Corresponding author. Email: 200230104005@mail.unej.ac.id
Corresponding Author
Ahdatu Uli Khikamil Maulidiya
Available Online 22 May 2023.
DOI
10.2991/978-94-6463-174-6_17How to use a DOI?
Keywords
RBL; STEM; ANN; SPS; CTS
Abstract

Science integration, Technology, Engineering and Mathematics (STEM) in learning activities is now increasingly important. STEM approach can improve students' combinatorial thinking skills. The implementation of research-based learning together with STEM education will be a good model in designing learning activities. The background of this research is the low sugar production due to poor sugarcane productivity. Efforts to solve this problem can be done by applying biotechnology such as genetic engineering to produce high sucrose sugarcane. This study uses narrative qualitative research with a literature study method. Aim of this study is to design learning activities regarding the development of new varieties of sugarcane plants using the mutant sucrose phosphate synthase (SoSPS1) gene transformation technique. The results of this study describe the RBL-STEM activity framework which consists of syntax, student learning outcomes and objectives, elements of STEM, and a combinatorial skills assessment instrument framework.

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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Volume Title
Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022)
Series
Advances in Intelligent Systems Research
Publication Date
22 May 2023
ISBN
978-94-6463-174-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-174-6_17How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Ahdatu Uli Khikamil Maulidiya
AU  - Bambang Sugiharto
AU  - Joko Waluyo
AU  - Dafik
AU  - Indrawati
PY  - 2023
DA  - 2023/05/22
TI  - RBL-STEM Learning Activities: Analysis of Transgenic Sugarcane Development Using Artificial Neural Networks in Improving Students’ Combinatorial Thinking Skills
BT  - Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022)
PB  - Atlantis Press
SP  - 217
EP  - 233
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-174-6_17
DO  - 10.2991/978-94-6463-174-6_17
ID  - Maulidiya2023
ER  -