Plant Ecology Learning Modeling with Python Programming to Support Digital Argumentation Skills
Marheny Lukitasari, Jeffry Handhika, Wasilatul Murtafiah, Syamsiyatuz Zahroatul Khoirotil Umath Zahroatul Khoirotil Umath, Nadhieva Avionyta · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · 2023
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.