STEM Learning Model Design Using IoT for Primary School Students
Jap Tji Beng, Fransisca Iriani Roesmala Dewi, Alivia Fitriani Amanto, Claudia Fiscarina, Desella Chandra, Fenny Lusiana, Vivien H. Wangi, Sri Tiatri · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · 2022
Competence in the STEM field is increasingly needed in the face of the Industry 4.0 revolution.One inevitable learning tool is an IoT-based one.This study aims to examine the IoT-based STEM learning model for primary school students.The study was carried out using a qualitative inquiry method in a field laboratory setting.Referring to McGrath's classical circle, the study's data collection method could fit into realism field study and field experiment quadrant.Research participants were one research group consisting of two lecturers (Information Technology and Educational Psychology), two Information Technology students and three Psychology students as peer-group discussions.Experiments were conducted to compare the effective ways of using Digital Plant Growth Sensors.Data on nutrition, temperature, humidity, sunlight and physical measurements were collected.The study was carried out within 4 months.Each learning step was discussed intensively, and the notions found were assessed through an inter-rater.The whole inquiry process implements Vygotsky's theory.We found that STEM learning via IoT Digital Plant Growth Sensors has the potential to improve basic skills of recording, describing, and analyzing data which are basic proficiency requirement in Biology, Technology, Engineering, and Mathematics.Specifically, this learning model also has the potential to improve data literacy and simple statistics for basic education at primary school level.