EDUC6351

Data Mining for School Leaders

Faculty of Education and Arts School of Education

10 Units 6000 Level Course

Available in 2013

Callaghan Campus	Semester 1
WebLearn GradSchool	Semester 1

Previously offered in 2012

With increasing pressure on school leaders to draw upon research and evidence in their decision-making, the need for effective management and critical engagement with school-based and system-wide data has become imperative. This course aims to assist school leaders in managing and mining data to make evidence-based decisions.

Objectives

This course provides students with the opportunity to:
1) understanding and analyse school-based and system-wide data;
2) apply data mining and/or knowledge management strategies to a real-world case; and
3) link data mining and analysis to strategic decision-making.

Content

Indicative course content:

* Contemporary Context of Performance-Based Leadership in Schools
* Reliability and Validity of Data
* Issues related to School-Based Data
* Issues related to System-Wide Data
* Data Mining Strategies
* Knowledge Management Principles
* Evidence-Based Decision-Making

Replacing Course(s)

EDUC6019

Transition

Students who have completed EDUC6019 are not permitted to enrol into EDUC6351.

Industrial Experience

Assumed Knowledge

Nil

Modes of Delivery

Distance Learning : IT Based
Internal Mode

Teaching Methods

Integrated Learning

Assessment Items

Case Scenario/PBL exercises	An analysis of a provided data set.
Student Projects	Analysing a real-life data set and producing a series of data-informed recommendations.

Contact Hours

Integrated Learning: for 2 hour(s) per Week for 13 weeks

Timetables