Developing College Students' Soft Skills through Generative Learning Model

DOI

10.2991/icset-17.2017.135How 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.

Copyright

© 2017, 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/).

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TY  - CONF
AU  - Yetti Ariani
PY  - 2017/09
DA  - 2017/09
TI  - Developing College Students' Soft Skills through Generative Learning Model
BT  - Proceedings of the 9th International Conference for Science Educators and Teachers (ICSET 2017)
PB  - Atlantis Press
SP  - 830
EP  - 834
SN  - 2352-5398
UR  - https://doi.org/10.2991/icset-17.2017.135
DO  - 10.2991/icset-17.2017.135
ID  - Ariani2017/09
ER  -