Dr. Simone Gibson

Professor

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Biography

Simone Gibson is a Professor and the Director of the Monash Centre for Scholarship in Health Education at Monash University. She leads quality innovation in education for health professions and is recognized as a Fellow of the Australian and New Zealand Association for Health Professional Educators. Simone has over 20 years of experience as a clinical dietitian, contributing to major areas including intensive care, surgery, and endocrinology. She was awarded the national Teaching Excellence award at the 2018 Australian Awards for University Teaching and has also received the Vice-Chancellor’s Award for Teaching Excellence. In addition to her role as the Director of the Master of Health Professions Education, she aims to nurture the next generation of leaders in clinical and health education. Her research interests encompass qualitative and mixed methods approaches, focusing on work-integrated learning and patient involvement in educational assessments. Simone’s recent projects have explored crucial topics such as nutrition, malnutrition, and innovation in health professional training.

Research Interests

Experience

Professor

2007-01-01 — Present

Monash University • Melbourne, VIC, Australia

Leading educational innovation and research in health professions.

Awards

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Teaching Excellence Award

2019-02-26
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Vice-Chancellor’s Award for Teaching Excellence

2017-08-07

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.