Psychometric Evidence of the Questionnaire to Evaluate the Didactic Sequence in Digital Environments in University Students

Abstract

The recent changes, following the pandemic of COVID-19, have caused a significant transformation in the field of education, millions of students have migrated to digital environments and the use of digital practices. The research aimed to present the results of the process of creating and arranging the psychometric characteristics of an instrument for evaluating the development of online sessions in teaching and learning. For the validity and reliability stage, 379 students from fourteen universities in Peru were taken. The reliability of instruments using the split halves method with Pearson (0.954) and Cronbach's Alpha (0.947) ratified by the Guttman coefficient (0.932). For the exploratory factor analysisthe KMO (Kaiser-Meyer-Olkin) contrast and Bartlett's test, the rotation method for convergence with Varimax with Kaiser normalization were used. Two models were used to compare the best fit indicators as a final result. It is concluded the obtaining of an instrument with characteristics such as frequent or start-up activities, execution of synchronous sessions, follow-up of asynchronous activities and evaluation with evidences or products.