| Autor: |
Muis, Irmayanti, Wonorahardjo, Surjani, Budiasih, Endang |
| Předmět: |
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| Zdroj: |
International Journal of Interactive Mobile Technologies; 2021, Vol. 15 Issue 9, p167-178, 12p |
| Abstrakt: |
Extremely large and unpredictable user generation of data, all digitized and stored in large data repositories is built up by scientists, especially from modern analytical chemistry. Modern analytical chemistry studies and uses instruments to analyze chemical compounds up to structural analysis. Modern instruments, such as mass spectrometer, generate information of compounds and stored in big data bank. This must be able to be accessed and used in chemistry education. This report would be around the benefits of using Big Data during learning process in this digital era. This study aims to build a new approach in chemistry education, by utilizing Big Data sources to support IDEAL (I-Identify problem, D-Define goal, E-Explore possible strategies, A-anticipate outcomes and act, L-Look back and learn) - Problem Solving learning model to improve student learning outcomes. This research is experimental research designs Pre-Experimental Design is by using a class which is used as the experimental class by giving a pretest before their treatment and provide post-test after being given treatment. Based on the results of hypothesis testing, it is found that there is a positive effect of using the IDEAL Problem Solving learning model assisted by Big Data on student learning outcomes. There is an improve in student learning outcomes in the medium category. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
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