The analysis of self directed learning (SDL) through Rasch modeling: Case study on prospective teachers during the use of e-learning with HOTS-oriented in the period of Covid-19 pandemic

Abstract

This study aims to explain how prospective teachers’ Self-Directed Learning (SDL) when learning through the media of the Moodle e-learning platform poses various Higher Order Thinking Skill (HOTS) problems. Seventy-seven prospective teachers at the Universitas Papua responded to the SDL questionnaire. Oescriptive testing methods by Rasch modeling used as SDL questionnaires which were accessible online through e-learning. This SDL questionnaire had 32 statements with five indicators. The Rasch Model analysis technique was used to test the reliability and validity of the SDL instrument and assessed the student’s SDL. The results of the reliability and validity analysis indicated that the SDL instrument was appropriate. The results of univariate analysis of the respondents’ approval level showed a logit value greater than 0.00, which meant that students generally agreed to the SDL instrument statements obtained during the use of Moodle e-learning platform with HOTS-oriented. As for some items of statements had a low acceptance rate that was generally related to the students’ ability to measure the level of failure in learning. At last, these results can be a reference for lecturers to continue improving the optimization of the use of e-learning, one of which is through the presentation of appropriate evaluation instruments. So the students, especially prospective teachers, have the ability to measure their achievement in learning.