Analysis of Statistical Learning Outcomes with Online and Offline Learning Methods DOI Creative Commons

Indra Kurniawan,

Andri Rahadyan

Symmetry Pasundan Journal of Research in Mathematics Learning and Education, Год журнала: 2023, Номер 8(1), С. 72 - 80

Опубликована: Июнь 28, 2023

This study analyses what factors make online learning outcomes better than offline. It is crucial to know whether there are other supporting or from the students' abilities. The method used in this research descriptive using a qualitative approach with six subjects. selection of subjects was by purposive sampling. Collecting data task-based interviews, namely: (1) selecting subjects; (2) determining time collection; (3) carrying out (4) analysing data; (5) comparing results and offline (6) conclude analysis. analysis that application methods has little effect on material understanding, enthusiasm independence learning. things need attention not method, but how we can foster good consistent spirit for education, especially students medium low abilities, it vital increase excitement all because, learning, will be happy. And active when participating class both modes.

Язык: Английский

PERBANDINGAN KOMPETENSI MENGAJAR MELALUI PEMBELAJARAN LURING DAN DARING DOI Open Access

Fadli Rasam,

Ani Interdiana Candra Sari

Research and Development Journal of Education, Год журнала: 2024, Номер 10(2), С. 881 - 881

Опубликована: Окт. 1, 2024

Процитировано

0

Analysis of Statistical Learning Outcomes with Online and Offline Learning Methods DOI Creative Commons

Indra Kurniawan,

Andri Rahadyan

Symmetry Pasundan Journal of Research in Mathematics Learning and Education, Год журнала: 2023, Номер 8(1), С. 72 - 80

Опубликована: Июнь 28, 2023

This study analyses what factors make online learning outcomes better than offline. It is crucial to know whether there are other supporting or from the students' abilities. The method used in this research descriptive using a qualitative approach with six subjects. selection of subjects was by purposive sampling. Collecting data task-based interviews, namely: (1) selecting subjects; (2) determining time collection; (3) carrying out (4) analysing data; (5) comparing results and offline (6) conclude analysis. analysis that application methods has little effect on material understanding, enthusiasm independence learning. things need attention not method, but how we can foster good consistent spirit for education, especially students medium low abilities, it vital increase excitement all because, learning, will be happy. And active when participating class both modes.

Язык: Английский

Процитировано

0