Investigating Student Intention to support the Green Laboratory Program Using the Pro-environmental Reasoned Action Model: A case study from Bandung, Indonesia
- DOI
- 10.2991/icoemis-19.2019.11How to use a DOI?
- Keywords
- Teaching Aid, Green Laboratory, Product Development, SEM
- Abstract
Industry 4.0 requires the educational sector to enhance its effectiveness and efficiency by considering the environmental factor. The green laboratory concept supports industry 4.0 through its energy-saving and getting more efficient and effective teaching and learning process. The teaching aid that developed regarding the green laboratory program is needed for efficient and effective educational activities. For this reason, a tool is designed, namely the Material Selection Box to facilitate students in reading material selection charts during the product development practicum. This study aimed to investigate the intention to use the Material Selection Box using the Pro-Environmental Reasoned Action Model (PERA). 160 students were surveyed using an online questionnaire. This study uses the Structural Equation Modeling to analyze the data. The result showed that the PERA model was found to represent the willingness to use material selection teaching aids. More importantly, it is found that the laboratory management has strong influence on the students’ willingness to use the teaching aid. Thus, it is recommended for laboratory management to motivate students to support the green laboratory program by using the teaching aid.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ilma Mufidah AU - Fachri Raziq AU - Medianti Arifia Dewi AU - Muhammad Iqbal PY - 2019/11 DA - 2019/11 TI - Investigating Student Intention to support the Green Laboratory Program Using the Pro-environmental Reasoned Action Model: A case study from Bandung, Indonesia BT - Proceedings of the 2019 1st International Conference on Engineering and Management in Industrial System (ICOEMIS 2019) PB - Atlantis Press SP - 70 EP - 77 SN - 1951-6851 UR - https://doi.org/10.2991/icoemis-19.2019.11 DO - 10.2991/icoemis-19.2019.11 ID - Mufidah2019/11 ER -