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Dr Michael Garrett

Adjunct Academic

Staff Member Details
Email: m.garrett@ecu.edu.au

Michael is an Adjunct Academic at the School of Arts and Humanities.

Qualifications

  • Doctor of Philosophy, Edith Cowan University, 2013.

Research

Recent Research Grants

  • The effect of digitally supported schema acquisition on middle school students' problem-solving achievement,  CingleVue Pty Ltd,  Scholarships to Support Industry Engagement PhD Project,  2019 - 2024,  $120,000.
  • Research and Development of Transformative Assessment within a Learning Management System,  CingleVue Pty Ltd,  CingleVue - Grant,  2013 - 2014,  $29,224.

Recent Publications (within the last five years)

Journal Articles

  • Berg, V., Rogers, S., McMahon, M., Garrett, M., Manley, D., (2020), A Novel Approach to Measure Executive Functions in Students: An Evaluation of Two Child-Friendly Apps. Frontiers in Psychology, 11(16 July 2020), Article number 1702, DOI: 10.3389/fpsyg.2020.01702.
  • McMahon, M., Garrett, M., (2016), A Classification Matrix of Examination Items to Promote Transformative Assessment. Journal of Interactive Learning Research, 27(3), 267-287, Chesapeake VA, Association for the Advancement of Computing in Education.

Conference Publications

  • Berg, V., McMahon, M., Rogers, S., Garrett, M., Manley, D., (2019), The eFun App: A New Tool to Measure Executive Functions to Support Learning in a Child-Friendly, Valid and Engaging Way. EdMedia 2019 proceedings, 76-85, Waynesville, United States of America, Association for the Advancement of Computing in Education (AACE).
  • Bense, K., Garrett, M., Tolefe, G., (2017), What it takes to successfully implement an enterprise software system: a case study of a large school district in New South Wales, Australia. INTED2017 Proceedings, 9919-9926, Online, IATED Academy.
  • Bense, K., Brooker, M., Garrett, M., (2016), Improving the monitoring of student performance: the development of an enterprise learning and instructional support (ELIS) platform. ICERI2016 Conference Proceedings, 4069-4077, online only, IATED Academy, DOI: 10.21125/iceri.2016.1958.
  • McMahon, M., Garrett, M., (2016), Mind vs. Machine: A comparison between human analysis and autonomous natural language processing in the classification of learning outcomes. Proceedings of EdMedia 2016--World Conference on Educational Media and Technology, 1(28-30 June), 635-643, Association for the Advancement of Computing in Education (AACE).
  • McMahon, M., Garrett, M., (2016), Evaluation of a learning outcomes taxonomy to support autonomous classification of instructional activities. Show Me The Learning. Proceedings ASCILITE 2016 Adelaide, 421-430, online only, University of South Australia.
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