Proceedings of the 3rd International Conference on Education and Technology (ICETECH 2022)

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Plant Ecology Learning Modeling with Python Programming to Support Digital Argumentation Skills

Authors
Marheny Lukitasari1, Jeffry Handhika1, Wasilatul Murtafiah1, Syamsiyatuz Zahroatul Khoirotil Umath1, *, Nadhieva Avionyta1
1Universitas PGRI Madiun, Madiun, Indonesia
*Corresponding author. Email: syamsiyatuz_1802111009@gmail.com
Corresponding Author
Syamsiyatuz Zahroatul Khoirotil Umath
Available Online 26 July 2023.
DOI
10.2991/978-2-38476-056-5_62How to use a DOI?
Keywords
Digital Argumentation; Plant Ecology; Problem Based Learning
Abstract

The purpose of this research is to produce modelling in plant ecology courses based on python programming and to analyse whether the python programming model can encourage digital argumentation skills in problem-based learning through online learning. This research method uses research and development with ADDIE design (Analysis, Design, Development, Implementation, and Evaluation). Data collection techniques in this study are arguments written through tests taken from journals and student response questionnaires distributed after using the python programming application. The results of the preparation of modelling of plant ecology courses are arranged in a figma application in the form of a user experience based on a flow chart to match product features with user needs. The model design that has been compiled will be coded with the python programming language using visual studio code so that the code provided can be read by the system. The results of digital argumentation skills were carried out to 6 students with an average level of argumentation categories that varied, low (34%), moderate (50%), and high (16%). Small-scale trials using python resulted in an average percentage value of 94.66% which is included in the very good category and is feasible to use.

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 3rd International Conference on Education and Technology (ICETECH 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
26 July 2023
ISBN
978-2-38476-056-5
ISSN
2352-5398
DOI
10.2991/978-2-38476-056-5_62How 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  - Marheny Lukitasari
AU  - Jeffry Handhika
AU  - Wasilatul Murtafiah
AU  - Syamsiyatuz Zahroatul Khoirotil Umath
AU  - Nadhieva Avionyta
PY  - 2023
DA  - 2023/07/26
TI  - Plant Ecology Learning Modeling with Python Programming to Support Digital Argumentation Skills
BT  - Proceedings of the 3rd International Conference on Education and Technology (ICETECH 2022)
PB  - Atlantis Press
SP  - 645
EP  - 654
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-056-5_62
DO  - 10.2991/978-2-38476-056-5_62
ID  - Lukitasari2023
ER  -