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  5. The Effectiveness of Using Integrated Steam Methods in Teaching Genetics
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The Effectiveness of Using Integrated Steam Methods in Teaching Genetics

Автор(ы)
Б. С. Жошибекова
А.А. Ramazanova
B.A. Tukibayeva
Дата публикации
30 июня 2023 г.
Тип
journal article
Издатель
Ahmet Yesevi University
Журнал
Iasaýı ýnıversıtetіnіń habarshysy
Том
128
Выпуск
2
Первая страница
343
Последняя страница
354
DOI
10.47526/2023-2/2664-0686.27
ISSN
2306-7365
Аннотация
Integrated STEM is considered a new trend of knowledge, complemented by new methods, digital technologies in teaching genetics to modern students. The introduction of integrated STEM methods into the teaching of genetics can become a problem for teachers due to lack of experience. Thus, the purpose of this study is to determine and test the optimality of integrated STEM learning in teaching genetics. The study discusses integrated STEAM training based on mixed methods. The study discusses integrated STEM learning based on mixed methods of Game Based learning (PBL), Problem-based learning (PBL), Creative matrix methods. The study involved 2 groups of students. Each group consisted of experimental and control groups of 23 people. The teaching methodology is organized according to the section "Variability and mutation", which is presented in the syllabus of the discipline 6B01509-Biology 3 course "Fundamentals of genetics and breeding". Students' knowledge was tested by comparing two groups using the Geniventure game, solving genetic problems and a creative matrix. The results showed higher academic performance of students who used integrated STEM learning than the traditional method. Therefore, integrated STEM learning based on Game Based learning (GBL), Problem-based learning (PBL), and creative matrix methods has become an effective method in education and has been able to positively affect the quality and results of student learning.
Темы

STEM integration

genetics education

game-based learning

problem-based learnin...

academic performance

digital technologies ...

Области науки (FoS)

Social Sciences

Education

Показатели
QyzPU CRIS

Научная информационная система Казахского национального женского педагогического университета.

OAI-PMH — открытый протокол обмена метаданными

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Данные

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Платформа: DSpace ​ QyzPU

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