Development of Lectora Inspire to Identify Students’ Conception Level on Vector

Abstract

The COVID-19 pandemic caused direct learning to be restricted. Due to the lack of interaction, the potential learning losses, such as mastery of concepts, become very large. Therefore, a diagnostic test is carried out so teachers know students' conception. Recently, a four-level diagnostic test was assessed effectively to reveal conceptions based on their answers, level of confidence in answering, giving a reason, and level of confidence in choosing reasons. However, implementing the diagnostic test was constrained directly, so the media needed to accommodate them. The purpose was to develop lectora inspire to identify the level of conception in vector. The ADDIE method is used. Quantitatively, the validity is calculated as a percentage and analyzed using a Likert scale. While qualitatively, suggestions for improvement are given by experts to be followed up. Additionally, a group test was conducted to determine the efficiency and practicality of the media. Based on this research, it is known that Lectora Inspire is declared to be valid, effective, and practical to use.