Dr. Rosemarie Herbert

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Biography

Rosemarie Herbert is a passionate educator committed to enhancing the employability of STEM students through work-integrated learning initiatives. She advocates for student input in curriculum design and values responsive feedback to inform educational practices. Her research centers on work-integrated learning, exploring the barriers to diversity, equity, and inclusion, and the impact of the global pandemic on student employability. She examines trends in fieldwork opportunities across Australian universities and employs digital technology to create online communities of practice. Herbert is currently leading a project focused on human-centered design aimed at improving work-integrated learning for neurodivergent individuals. With an impressive record of outputs and projects, she has received recognition for her innovative contributions to the field, including awards at national conferences and opportunities to speak at prominent educational events.

Research Interests

Experience

Senior Teaching Fellow

2015-07-01 — Present

Monash University • Melbourne, VIC, Australia

Contributes to curriculum design and implementation in the Science Faculty, focusing on student employability through integrated learning experiences.

Awards

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ACEN (WILA) Poster 2024

2024-10-22
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ASCILITE Innovation Award 2024

2024-10-12
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Faculty of Science ECR Symposium Seven Minute Seminar

2024-09-26

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.