Learning From Evidence

Subject EDUC90832 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

Term 4, Parkville - Taught online/distance.
Pre-teaching Period Start 03-Oct-2016
Teaching Period 10-Oct-2016 to 04-Dec-2016
Assessment Period End 09-Dec-2016
Last date to Self-Enrol 04-Oct-2016
Census Date 28-Oct-2016
Last date to Withdraw without fail 18-Nov-2016


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 36 hours
Total Time Commitment:

170 hours
Prerequisites:
Subject
Study Period Commencement:
Credit Points:
Not offered in 2016
12.50
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.

The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison website: http://www.services.unimelb.edu.au/disability

Coordinator

Dr Suzanne Rice

Contact

s.rice@unimelb.edu.au

Subject Overview:

This subject will develop participants’ skills in using student achievement data to inform teaching practice to support student learning. It will consider the use of a wide range of data types and sources to evaluate learning, teaching and assessment and make recommendations for improving practice. Through case studies and practical activities, participants will be exposed to ideas, methods and techniques to support high quality, evidence-based decision making.
Learning Outcomes:

On completion of this subject, participants should be able to:

  • Examine data patterns within clinical practice to generate hypotheses
  • Use data within clinical practice to test hypotheses
  • Source suitable data for informing clinical practice decisions
  • Determine the suitability of data to inform clinical practice decisions
  • Synthesise multiple sources of data and use them to evaluate the impact of teaching
  • Take actions to improve the quality of data available for use within clinical practice settings
Assessment:

Contributions to 8 online discussions (equivalent to 500 words) across the semester 10%

Case study: Using assessment data in the classroom (2000 words) due mid semester 40%

Case study: Using data to evaluate the impact of teaching (2,500 words) due end of semester 50%
Prescribed Texts: None
Breadth Options:

This subject is not available as a breadth subject.
Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:
  • Analytical skills and the ability to construct and express logical arguments.
  • Capacity to critique and use appropriately a range of evidence and data.
  • Problem solving skills, including engaging with, researching and identifying strategies to solve unfamiliar problems.
Links to further information: http://education.unimelb.edu.au/about_us/clinical_teaching
Related Course(s): Master of Clinical Teaching

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