Development of Microlearning Content for Software Engineering Courses by Using ADDIE Model

Abstract

This research aims to: (1) Develop an e-learning design model based on micro-learning content, (2) Analyze the validity of the developed micro-learning content-based e-learning design model, (3) Analyze the practicality of the microlearning content-based e-learning design model for Engineering courses Software, (4) Analyzing the effectiveness of e-learning design models based on microlearning content for Software Engineering courses. This type of research is Research and development (R&D) with the Analysis, Design, Development, Implementation, Evaluation (ADDIE) development model. Data collection techniques used questionnaires and tests. The data analysis technique used qualitative descriptive statistical analysis. The resulting product was validated by model experts, material experts and media experts, while the trials carried out were small group trials and expanded trials. The results of the research are: (1) producing an e-Learning Design Development Model based on Microlearning Content and model supporting products with research and development stages consisting of 5 stages, namely Analysis, Design, Development, Implementation. and Evaluation which are divided into 3 major stages, namely a) Microlearning Modeling; b) Microlearning Development; c) Microlearning Implementation, (2) The results of assessing the validity of model and model product by experts respectively produced an average score of 87.1% and 84.5%, both of which were categorized as very feasible or valid, in order that the model product is suitable for testing in field, (3) The results of the practicality test of the model from student and lecturer respondents respectively obtained an average score of 87.5% and 87.2%, both of which were categorized as very good or very practical, (4) The model was declared effective based on the results of the score calculation N-Gain is based on student pre-test and post-test scores. The N-Gain score obtained was more than 76% or categorized as effective. This showed an increase in students' abilities before and after using the model for the Software Engineering course.