Statistical modelling of factor analysis to set causals of hybrid learning success during Covid-19 lockdown
نویسندگان
چکیده
Abstract Around the world, Covid-19 outbreak caused a sudden and forced migration from face-to-face education to online generating an unprecedented phenomenon in history of education. In Mexico, most affected Education level was Basic Public Education, least unprepared while Private Higher has experienced by years alternative models using technology. Despite, around new findings arose evidencing that students could require emotional support under confinement due extended lockdown intense effort follow their educative plans revealing behavioral issues as success factors emergent strategy. Based on statistical model exploratory factor analysis data applied Freshman Sophomore engineering students, this work presents roadmap modelling testing for several dimensions more effective causal paradigm implementation. Obtaining Cronbach α value 0.817, it points meaningful internal reliability discriminate rearrange those into comprehensive ecosystem.
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ژورنال
عنوان ژورنال: Journal of physics
سال: 2021
ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']
DOI: https://doi.org/10.1088/1742-6596/2090/1/012072