Course Description
Decision-making in schools involves the systematic collection and analysis of data of different forms on the design, implementation, and the effectiveness of programmes or projects. This course will provide an overview of various perspectives and approaches to educational evaluation. Major theories and analytical tools will be discussed. Students will be given the opportunity to critically examine these different approaches to answer questions about classroom projects, educational policy and programmes. Students have the chance to apply the theories covered in the course through case study analyses. Students gain an understanding of theories, applications, and approaches within the context of formal programme evaluation.
Intended Learning Outcomes
CILO-1: Describe how quantitative data in education is collected, analyzed, evaluated, and applied for understanding and promoting student learning.
CILO-2: Articulate the basic knowledge of measurement in educational settings.
CILO-3: Recognize the role, benefits, and applications of big data in education.
CILO-4: Delineate various types of child and adolescent problem behaviors based on quantitative data and evaluation.
CILO-5: Identify and deal with bullying, depressive disorders, self-injury, and suicide in educational settings based on quantitative data and evaluation.