Adaptive Feedback Model for Learning

Adaptive feedback model for learning activities

Degree type

PhD

Closing date

1 July 2023

Campus

Hobart

Citizenship requirement

Domestic

About the research project

Learning activities with constructive and relevant feedback are critical to achieving learning outcomes. Due to class sizes academics are moving towards automated assessment to improve the timeliness of feedback to the students. Unfortunately automated feedback is often limited to merely right or wrong, with limited guidance as to where the student is doing well and where there might be areas for improvement. Learning Management Systems(LMS) have their own proprietary methods for learning evaluation and feedback, with limited external module support. Incorporating automated assessment tools within an LMS, particularly one that provides meaningful feedback raises a number of issues particularly around privacy and security. LMS are subject to security issues that arise from protocol, application and host-based operating systems vulnerabilities which consequently can engender privacy and authenticity concerns for the learners involved.  This project aims to design, develop and evaluate automated and personalised secure adaptive feedback tools for tertiary-education learning activities which enhance students learning experiences with improved learning outcomes whilst ensuring privacy and authenticity are preserved when integrated with an LMS.

Primary Supervisor

Meet Dr Soonja Yeom

Funding

Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $31,500 per annum (2023 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.

Eligibility

Applicants should review the Higher Degree by Research minimum entry requirements.

Ensure your eligibility for the scholarship round by referring to our Key Dates.

Additional eligibility criteria specific to this project/scholarship:

  • Applications are open to Domestic/ International/ Onshore applicants
  • Applications are open to applications from ICT discipline background only
  • English language score must be above minimum entry requirements for this project
  • Applicants must be able to undertake the project on-campus

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Additional essential selection criteria specific to this project:

  • Demonstrated capacity in critical thinking
  • Background in subject areas relevant to the project (e.g., ICT, educational theory, AI theory)
  • Programming skills with understanding in data analytics and machine learning
  • Quantitative research skills

Additional desirable selection criteria specific to this project:

  • Good communication skills
  • Interest in learning analytics, cybersecurity, tertiary education and online learning

Application process

  1. Select your project, and check that you meet the eligibility and selection criteria, including citizenship;
  2. Contact Dr Soonja Yeom to discuss your suitability and the project's requirements; and
  3. In your application:
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • Submit a signed supervisory support form, a CV including contact details of 2 referees and your project research proposal.
  4. Apply prior to 1 July 2023.

Full details of the application process can be found under the 'How to apply' section of the Research Degrees website.

Following the closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.

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