The Effectiveness of Blended Laboratory Using Virtual Reality and IoT (BLUVRIOT) to Enhance Students’ Process Skills and Critical Thinking based on STEM Approach: Case Study Application of Audio Organic Growth System in Science Learning
AbstractThis research proves that blended laboratory using virtual reality and IoT (BLUVRIOT) based on STEM (Science, Technology, Engineering, and Mathematics) approach can be used to enhance students’ process skills and critical thinking in the Natural Sciences Study Program of Universitas Negeri Yogyakarta. The STEM approach in science learning can solve the students' difficulties in connecting the technology elements represented by AOGS, environmental elements related to agriculture that are organic and environmentally friendly, mathematical elements on data analysis and growth charts associated with audio from natural animals modified using the Sound Forge 6.0 program. This research employed a field experiment of AOGS technology assisted IoT application in maize fields and Research & Development (R&D) of the spiral model (Cennamo & Kalk, 2018) with STEM approach to improve students' creative thinking and process skills. The results of the study can be divided into two categories, i.e. developing the students’ skills and partner farmers in using AOGS to increase the growth rate and the maize productivity, and enhancing the students’ skills and critical thinking skills in Science Practicum course. Based on the research findings, the maize productivity at AOGS 3500 Hz peak frequency with the area of 1,000 m2 for experimental plants were 893.04 kg, while for the control plants were 620.73 kg, respectively. There was a significant difference between the treated plants and the control which was about 208.31 kg (133.56%). Moreover, the process of AOGS application using STEM approach was also proven to be able to significantly enhance the process skills and critical thinking among the students participating in Science Practicum course.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Terms and conditions of Creative Commons Attribution 4.0 International License apply to all published manuscripts. This Journal is licensed under a Creative Commons Attribution 4.0 International License. This licence allows authors to use all articles, data sets, graphics and appendices in data mining applications, search engines, web sites, blogs and other platforms by providing appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
A competing interest exists when professional judgment concerning the validity of research is influenced by a secondary interest, such as financial gain. We require that our authors reveal all possible conflicts of interest in their submitted manuscripts.
The Editor reserves the right to shorten and adjust texts. Significant changes in the text will be agreed with the Authors.