WORK INTEGRATED LEARNING IN STATISTICS AND COMPUTER SCIENCE AND FAIR ASSESSMENT OF AUTHENTIC PROJECTS

Work integrated learning (WIL) has been the norm in disciplines such as medicine, teacher education and engineering , however it not implemented until recently statistics for every student computer science education. With changed focus of universities, making graduates ‘job ready’ collaboration university-industry widened to encompass teaching. Undoubtedly authentic problems coming from industry created opportunities students practice their future profession before graduation. However, this shift curriculum brought its challenges both lecturers. In paper, we will present assessment structures case studies science. Our approaches can be adopted or adapted by teachers data