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Measurement Analytics (MAST90131)
Graduate courseworkPoints: 12.5Online
About this subject
Contact information
Term 3
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
Overview
| Availability | Term 3 - Online |
|---|---|
| Fees | Look up fees |
Measurement analytics combines measurement science and validity theory with analytics methods. Its main application is to assess human (or sometimes organisational) performance or attributes, using digital big data and analytical techniques. Use of measurement analytics is appropriate when the objective of the analyst is to build reliable and valid assessments of individuals, especially when attributes or levels of performance can only be inferred, not directly observed, and when results have consequences for the individuals concerned.
There are many applications: in education, to any assessment of competence or understanding; in health and human services, to assessments of patient physiological or psychological status; in the professions and vocations for recruitment, to assessment of complex skills, including in areas such as music, sport, and non-cognitive attributes such as attitudes, values and beliefs; and in situations when automated assessments are generated from games, essays, videos or interviews.
In this subject students will develop an understanding of the rationale for using measurement analytics rather than alternative analytics techniques and become familiar with contemporary and emerging applications. This subject provides students with the ability to assess claims to reliability and validity of analytics-based assessments of attributes or performance of individuals, and provides basic understandings and skills in how to maximize validity using complex digital data.
Intended learning outcomes
On completion of this subject, students should be able to:
- Understand the principles of measurement and learning analytics as well as the rationale for using measurement analytics rather than alternative techniques such as data mining, cluster or regression analysis for assessment purposes.
- Understand and explore how various data and information can be used to measure complex human attributes and performance.
- Understand and apply common approaches to conceptualizing human attributes for the purposes of assessment.
- Apply measurement analytics techniques to digital big-data sets to generate and interpret measures.
- Understand contemporary applications of measurement analytics to automated, algorithm-based, online adaptive assessment applications, especially those based on machine learning or data mining.
Generic skills
- Students will be provided with the opportunity to practice and reinforce: • High level written communication skills. • Advanced information and interpretation skills. • Advanced analytic, integration and problem-solving skills • Demonstrate competence in critical and theoretical thinking through report writing and online discussions.
Last updated: 4 March 2025
Eligibility and requirements
Prerequisites
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST90130 | Critical Thinking with Analytics |
Term 1 (Online)
Term 3 (Online)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
It is expected that students will already be familiar with basic concepts from statistics and probability.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 4 March 2025
Assessment
| Description | Timing | Percentage |
|---|---|---|
Contributions to online discussion posts
| Throughout the semester | 10% |
Online quizzes (Weekly)
| Throughout the semester | 10% |
A conceptual framework
| Week 2 | 10% |
Essay
| Week 4 | 25% |
Report
| Week 8 | 45% |
Last updated: 4 March 2025
Dates & times
- Term 3 - Online
Coordinator Zhonghua Zhang Mode of delivery Online Contact hours Total time commitment 170 hours Pre teaching start date 14 July 2025 Pre teaching requirements During the pre-teaching period students are given the opportunity to get used to the online platform, meet the instructors/tutors and become familiar with how to access resources before the teaching period starts. Teaching period 21 July 2025 to 14 September 2025 Last self-enrol date 15 July 2025 Census date 8 August 2025 Last date to withdraw without fail 29 August 2025 Assessment period ends 21 September 2025 Term 3 contact information
Email: continuing-education@unimelb.edu.au
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
Time commitment details
170 hours
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 4 March 2025
Further information
- Texts
Prescribed texts
Students will have access to electronic copies of relevant readings
- Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 4 March 2025