Attaining Strong Learning Outcomes Using Modern Pedagogies in Teaching Image Processing and Computer Vision

Abstract

In the modern context of education, due to huge and cutthroat competitions among graduating students from various universities of the world, the industry or society expects excellent employability skills from the workforce. The expectation from the hiring process is to get competent graduates who can work with required skillsets and also align with the sustainable growth plan of the employers. Hiring employable graduates looks simple, but it is not true and requires sincere efforts for assessment of if the students are actually demonstrating the skills in addition of excellent academic knowledge. So, this chapter provides an overview of the importance of student learning outcomes (SLOs), their articulation and formulation, and most importantly, the pragmatic assessment of attainment of SLOs using some rubrics or tools. A special mention has been made on a practical assessment of attainment of SLOs in an image processing and computer vision (IPCV) course.