Teacher Prototype for Supervision Services Effectiveness
- https://doi.org/10.2991/icet-19.2019.110How to use a DOI?
- prototype, commitment, abstraction, supervision, introduction
This study aims to describe the teacher prototype in context elementary school teacher supervision effectiveness in West Sumatra province. Teacher's prototype is teachers categorized based on the level of abstraction and commitment, which consists of dropout, unfocused, analytical, and professional teachers. Sampling was done by cluster random sampling technique in 19 regencies/cities in West Sumatra Province and proportional random sampling technique to decided school samples. Data collection was done by questionnaire that has been tested and validated by psychologists and educational management expert. Data ware analyzed used simple statistics. The results showed that the average score of commitment and abstraction of elementary school teachers in West Sumatra were: (a) commitment (3.7) with the respondent achievement level of (73.7%) and (b) Abstraction (3.5) with the respondent achievement level of (69.8.7%). It can be concluded that the category of elementary school teachers in West Sumatra: dropout (2%), unfocused (55%), analytic (40%), and professional (3%). Teacher prototype analysis data can be used as a basis for providing more effective supervision services for elementary school teachers in West Sumatra Province.
- © 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 - Rifma Rifma AU - Hanif Alkadri AU - Ermita Ermita AU - Ranti Meizatri PY - 2019/12 DA - 2019/12 TI - Teacher Prototype for Supervision Services Effectiveness BT - Proceedings of the 5th International Conference on Education and Technology (ICET 2019) PB - Atlantis Press SP - 438 EP - 441 SN - 2352-5398 UR - https://doi.org/10.2991/icet-19.2019.110 DO - https://doi.org/10.2991/icet-19.2019.110 ID - Rifma2019/12 ER -