Data Mining for Educational Leaders

Course code EDUC6351Units 10Level 6000Faculty of Education and ArtsSchool of Education

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.

Available in 2015

Callaghan CampusSemester 1
WebLearn GradSchoolSemester 1
Previously offered in 2014
ObjectivesThis 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.
ContentIndicative 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
TransitionStudents who have completed EDUC6019 are not permitted to enrol into EDUC6351.
Industrial Experience0
Assumed KnowledgeNil
Modes of DeliveryDistance Learning : IT Based
Internal Mode
Teaching MethodsIntegrated Learning
Assessment Items
Case Scenario/PBL exercisesAn analysis of a provided data set.
Student ProjectsAnalysing a real-life data set and producing a series of data-informed recommendations.
Contact HoursIntegrated Learning: for 2 hour(s) per Week for 13 weeks
Timetables2015 Course Timetables for EDUC6351