Validity of Generative Learning Based Respiratory System Module to Empower Students’ Analytical Thinking Skills
- 10.2991/aecon-18.2018.49How to use a DOI?
- Biology Module; Generative Learning; Validation; Respiratory
Module is a medium that assist teachers to transfer information in learning process. Nevertheless, many activities in conventional module do not really emphasize on students’ analytical thinking skill. Therefore, the module needs innovation. Generative learning-based module is a module integrated with generative learning model activity, so it is supposed to be more effective in empowering students’ analytical thinking skill. This study aims to test the validation of generative learning-based module that is being developed. This study is the initial product-testing phase of the type of research and development (RnD). Validation test in this study included construct, content, evaluation, and module readability. Data collection method used was questionnaire. The subjects of this study were education experts and practitioners. The validation results obtained the following scores: the validity score of module construct was 93.37%, the validity score of module content was 87.94%, the validity score of evaluation was 97.14%, and the validity score of readability was 88.33%. All of the scores were in “very good”. Shortly, it can be concluded that generative learning-based respiratory system module is incredibly valid and worthy of being tested for its effectiveness in order to empower students’ analytical thinking skill.
- © 2018, 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 - Widya Prawita AU - Baskoro Adi Prayitno AU - Sugiyarto Sugiyarto PY - 2018/12 DA - 2018/12 TI - Validity of Generative Learning Based Respiratory System Module to Empower Students’ Analytical Thinking Skills BT - Proceedings of the 5th Asia Pasific Education Conference (AECON 2018) PB - Atlantis Press SP - 253 EP - 257 SN - 2352-5398 UR - https://doi.org/10.2991/aecon-18.2018.49 DO - 10.2991/aecon-18.2018.49 ID - Prawita2018/12 ER -