Author(s): Akanksha, RR Saxena, Aparna PS and Reshma Rakse

Abstract: The "e-Krishipathshala" mobile application, developed to enhance agricultural education, was examined for its effect on students of Indira Gandhi Krishi Vishwavidyalaya (IGKV). This assessment aimed to assess the effectiveness of the application in improving students' learning outcomes, engagement, and practical skills in agriculture. This analysis evaluates outcome of the e-Krishipathshala mobile application on students' satisfaction and usefulness, based on various predictor variables. Logistic regression analysis is utilized in this research to evaluate the impact of these factors. The conclusions of the regression show that among the predictors (x1 to x7), only x5 significantly influences satisfaction (p = 0.00753), with each unit increase in x5 increasing the log-odds of satisfaction by 0.80830. It is observed that the other predictors (x1, x2, x3, x4, x6, and x7) had no significant impact on satisfaction suggests they had little bearing on the result. Two different modeling approaches were applied in order to evaluate usefulness. The initial model, including predictors x1 through x5, found no significant predictors, with all p-values above 0.05 and high standard errors indicating unreliable estimates. Upon adding predictors x6 and x7 to the second model, it was discovered that x1 and x2 were significant (p = 0.02393 and p = 0.00939, respectively). Specifically, increases in x1 and x2 were connected to decreased log-odds of usefulness being higher.

DOI: 10.22271/maths.2024.v9.i6Sc.1910

Pages: 160-163 | Views: 71 | Downloads: 3

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