Proceedings of the 9th International Conference for Science Educators and Teachers (ICSET 2017)

Developing College Students' Soft Skills through Generative Learning Model

Authors
Yetti Ariani
Corresponding Author
Yetti Ariani
Available Online September 2017.
DOI
https://doi.org/10.2991/icset-17.2017.42How to use a DOI?
Keywords
Soft Skills, Generative Learning Model, Mathematics Instruction in Elementary School
Abstract
Generative learning method is based on constructivism theory with assumption that students develop mathematics knowledge actively. The analysis of this experiment research shows that the implementation of generative learning model in Mathematics Instruction course in the Faculty of Education UNP improve students' soft skills better than the conventional learning model. The skills that were developed are modeling skills, logical thinking skills and problem solving skills. The highest score of mathematical concept understanding test in experiment class is 92.86 and the lowest is 46.43 while in control class, the score is 85.71 and 35.71 respectively. The mean of experiment class is 73.81 and 63.10 for control class.
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Proceedings
9th International Conference for Science Educators and Teachers (ICSET 2017)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2017
ISBN
978-94-6252-419-4
ISSN
2352-5398
DOI
https://doi.org/10.2991/icset-17.2017.42How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yetti Ariani
PY  - 2017/09
DA  - 2017/09
TI  - Developing College Students' Soft Skills through Generative Learning Model
BT  - 9th International Conference for Science Educators and Teachers (ICSET 2017)
PB  - Atlantis Press
SP  - 253
EP  - 259
SN  - 2352-5398
UR  - https://doi.org/10.2991/icset-17.2017.42
DO  - https://doi.org/10.2991/icset-17.2017.42
ID  - Ariani2017/09
ER  -