Hybrid Learning Microsite Project STEAMER: Computational Thinking and Creative Thinking Abilities of Prospective Elementary School Teachers

Introduction: Prospective teachers' computational and creative thinking skills show quite low results because classroom learning is less innovative. This requires the use of innovative models. This study was conducted to determine the effectiveness of the Hybrid Learning Microsite Project STEAMER in improving prospective elementary school teachers' Computational and Creative Thinking Skills.Methods: The study subjects were prospective elementary school teachers from 10 Educational Personnel Education Institutions in six provinces. This method of study used a mixed approach. Data were collected through tests, interviews, and observations. Data were analyzed quantitatively and qualitatively. Quantitative data were analyzed using Multivariate statistics, SEM LISREL 8.80, while Miles and Huberman data analysis techniques were used to analyze qualitative data.Results: This study shown that the average post-test score in the experimental class increased by 69.95 and in the control class by 55.65. This study concludes that the application of the learning model has implications for the variables of creative and computational thinking abilities by 29.6% and 10.6%.Conclusions: The implementation of the STEAMER Hybrid Learning Project has influenced students' computational and creative thinking abilities through a series of model stages, such as reflection, conducting research, finding strategies, implementing design results, and communicating the results of the developed project.

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Publication Details

Journal
Data & Metadata
Published
2024-12-27
DOI
https://doi.org/10.56294/dm2024.591
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00

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article

Hybrid Learning Microsite Project STEAMER: Computational Thinking and Creative Thinking Abilities of Prospective Elementary School Teachers

Dina Asmaul Chusniyah, Layli Hidayah, Farida Nur Kumala, Moh Salimi et al.
Data & Metadata
Teaching and Learning Programming
article

Hybrid Learning Microsite Project STEAMER: Computational Thinking and Creative Thinking Abilities of Prospective Elementary School Teachers

Dina Asmaul Chusniyah, Layli Hidayah, Farida Nur Kumala, Moh Salimi, Arnelia Dwi Yasa
article en

Abstract

Introduction: Prospective teachers' computational and creative thinking skills show quite low results because classroom learning is less innovative. This requires the use of innovative models. This study was conducted to determine the effectiveness of the Hybrid Learning Microsite Project STEAMER in improving prospective elementary school teachers' Computational and Creative Thinking Skills.Methods: The study subjects were prospective elementary school teachers from 10 Educational Personnel Education Institutions in six provinces. This method of study used a mixed approach. Data were collected through tests, interviews, and observations. Data were analyzed quantitatively and qualitatively. Quantitative data were analyzed using Multivariate statistics, SEM LISREL 8.80, while Miles and Huberman data analysis techniques were used to analyze qualitative data.Results: This study shown that the average post-test score in the experimental class increased by 69.95 and in the control class by 55.65. This study concludes that the application of the learning model has implications for the variables of creative and computational thinking abilities by 29.6% and 10.6%.Conclusions: The implementation of the STEAMER Hybrid Learning Project has influenced students' computational and creative thinking abilities through a series of model stages, such as reflection, conducting research, finding strategies, implementing design results, and communicating the results of the developed project.

Data & MetadataVol. 3
Sebelas Maret University (ID), Institute of Geology and Geophysics (CN), Universitas Islam Malang (ID), Universitas Kanjuruhan (ID)
Direktorat Riset dan Pengabdian Masyarakat
Quality Education
Openalex Percentile: Top 74%
Teaching and Learning Programming
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