This subject addresses the knowledge and skills required to engage with the policy and practice of data-informed practice. The subject will distinguish the approach as applied to education from its use in other fields highlighting the strengths, limitations and potential uses of the data available in educational contexts. Knowledge management, learning analytics, emergent feedback, the data-definition matrix, and data-based decision-making cycle will be defined and interrogated as a context for knowledge and skill-building in the ethical use of data to inform planning, instruction and learning. Key basic psychometric concepts and existing data repositories and approaches will be investigated using a problem-based approach focused on curriculum-based measurement. The subject involves the analysis and resolution of problem-based case studies that provide an opportunity to apply the skills and knowledge learned in the modules of study. A background in measurement and statistics is not required to successfully complete this subject.
School of Teacher Education
The following table summarises the assessment tasks for the online offering of EEB504 in Session 3 2019. Please note this is a guide only. Assessment tasks are regularly updated and can also differ to suit the mode of study (online or on campus).
The information contained in the CSU Handbook was accurate at the date of publication: July 2020. The University reserves the right to vary the information at any time without notice.