Plant Ecology Learning Modeling with Python Programming to Support Digital Argumentation Skills
- 10.2991/978-2-38476-056-5_62How to use a DOI?
- Digital Argumentation; Plant Ecology; Problem Based Learning
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.
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Cite this article
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 -