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Crowdlearning as a performance support strategy for first-year college students in eLearning environments during the COVID-19 pandemic

Abstract:

The Covid-19 pandemic, still present, has transformed the management of universities around the world. The teaching activity is actively seeking our strategies to ensure the quality of learning experiences. Thus, collaborative work has become essential to create innovative, responsible, and responsive knowledge. This paper presents a crowdlearning strategy to support the performance of first-year university students in eLearning environments. Empirical-analytical research with quantitative, quasi-experimental approach is conducted using the online survey technique with Likert scale to a sample of 216 students. With a confidence level of 99% and a margin of error of 1%, the results show that the applicability of the crowdlearning methodology in study groups and subgroups reaches 83% effectiveness and 95% satisfaction. The importance of the knowledge that is built in learning communities and how the crowdlearning methodology can contribute to the learning process in crowds is evidenced.