Improving the Learning Effectiveness of Information System Analysis and Design Courses with Collassion Learning

Abstract

The information systems analysis and design course are compulsory in the Information Systems Study Program. The majority of the graduate profiles demonstrate a great level of experience as systems analysts. Every year the number of students in this program at the University of Technology, Mataram, with scores below B is average 37.35%. This value corresponds to the annual student population being unable to conduct the course activities effectively. Therefore, the purpose of this research is to generate an appropriate learning model for the information system analysis and design course to improve higher-order thinking skills. The methodology involved research and development (R&D) that combines two learning development models, termed research and information collection. This research occurs as the first stage of Borg & Gall’s model and the Step of System Approach Model of Educational Research and Development, adapted from Step Learning Design by Dick & Carey. Based on the analysis results of student demands, literature review, and the reference to existing problems, the need to develop a learning model for the information systems analysis and design course appears very essential. This is achieved by adopting a problem-based learning model known as “Collassion”, mainly supported by information and communication technology in relation to collaboration and discussion. A validity test was subsequently performed by 4 experts and the model effectiveness was determined, using product effectiveness analysis. The posttest average score was attained at 81.21, with 82.76% of student completion rate in accordance with the specified minimum competency standards. This score has increased significantly up to 72.41% from the pretest mean value at 43.69, with a percentage of completeness of 6.90%. Furthermore, the effectiveness test results showed the ability of Collassion Learning in enhancing the learning effectiveness of the sample course.