The Effectiveness of the Statistics Learning Model Based on Constructivist to Improve the Statistics Learning Outcomes of Students in the Building Engineering Education Study Program
- 10.2991/assehr.k.211110.132How to use a DOI?
- Constructivist; Development; Learning Model; Statistics
This research aims to produce a statistics learning model based on constructivist and the effectiveness of learning model that are developed in order to improve the result in learning statistics for the students. This research is a research and development (R&D) with one group pretest-posttest design. This research is done in the study program of education of Building Engineering for the academic year in 2020/2021. Analysis of the effectiveness of learning model is developed done in twice trials, those are trial for small group and trial for large group. The result of the paired sample T-test (sig.2-tailed <0.05) show that there is differences in the learning result before and after the students are taught by using statistics learning model based on constructivists in significantly due to the influence of model application of that is developed in the activity of learning statistics that is held. The result of the effectiveness with testing N-Gain that is normalized show that the implementation of the statistic learning model based on constructivist in the test of small group is 58.05% and the test of large group is 71.18% in order to improve the result of learning statistics for the students.
- © 2021 The Authors. Published by Atlantis Press SARL.
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Cite this article
TY - CONF AU - Enny Keristiana Sinaga AU - Abdul Muin Sibuea AU - Julaga Situmorang PY - 2021 DA - 2021/11/22 TI - The Effectiveness of the Statistics Learning Model Based on Constructivist to Improve the Statistics Learning Outcomes of Students in the Building Engineering Education Study Program BT - Proceedings of the 6th Annual International Seminar on Transformative Education and Educational Leadership (AISTEEL 2021) PB - Atlantis Press SP - 507 EP - 513 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.211110.132 DO - 10.2991/assehr.k.211110.132 ID - Sinaga2021 ER -