Motivation and Learning SIG Award

Purpose

The Motivation and Learning SIG is keen to encourage Honours or postgraduate degree students to present high quality papers in this area at the annual conference. To achieve this aim, we are offering up to 2 student awards for excellent conference presentations each year. Students from all geographic regions are eligible to apply for this award.  Winners will receive a Certificate of Excellence.

Funding round: single round per annum

Applications due: To be determined

Status of funding round: closed

Applicant

Honours or postgraduate degree students

Eligibility criteria

To be eligible for an award, candidates must:

  • be currently enrolled (part-time or full-time) in an Honours or postgraduate degree, or must be presenting from their thesis research completed in the current or preceding year;
  • submit a first-authored conference presentation proposal, using the online submission system, by the closing date for conference presentation proposals and have it accepted for presentation within the ML-SIG strand;
  • deliver the presentation as scheduled; and
  • have not previously received an AARE ML-SIG Award for Student Presentations.

Merit criteria

The ML-SIG Convenors will judge the awards, based on:

  • the content of the presentation,
  • the ability of the presenter to convey with clarity and interest,
  • the theoretical and methodological bases and findings of the research, as well as
  • the quality of discussion points or conclusions drawn from the findings.

How to apply

  • Applicants must meet the AARE Conference deadlines for abstract submission, and award application submission dates.
  • Submit an abstract via the AARE Conference online submission system by the submission closing date as advertised each year.
  • On 31 August submit:
    • cover letter addressing eligibility criteria for the award;
    • letter of support from your thesis supervisor;
    • and proof of acceptance to the conference including its assigned paper code.
  • The winners of the awards will be announced at the ML-SIG AGM at the end of the conference.
  • Applications should be emailed to Paul Richardson and Nathan Berger with the subject line stating: full name, the paper code assigned to your submitted abstract, and include the award name (e.g. ML-SIG Award for Student Presentation).

Selection process

Applications will be assessed by a panel comprised of ML SIG members which is convened each year. The panel’s decision will be final and no further correspondence will be entered into.

Enquiries

AARE Awards