The Problem of Manual Assessments of Training Simulators—A Systems Approach

Since the inception of the Engineering Criteria 2000 (EC2000) by the Accreditation Board for Engineering and Technology (ABET), engineering educators need to demonstrate how well students are learning, which is a challenging task. Many educators have used simulation–based training to assess student learning outcomes. These training simulators have been assessed manually, however, the manual assessments of these training simulators raise issues of reliability and validity. Based on the findings of the case studies used, this paper proposes a systems–based approach, such as Neural Networks can be used when the issue of reliability and validity arises to assess leadership skills of undergraduate engineers.