Dr. Liesl Heinrich

Assistant Professor

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Biography

Liesl Heinrich is an accomplished academic designer currently engaged at Monash University. Since 2016, she has collaborated intensively with academic staff to design and develop student-centered, active learning experiences for undergraduate and Master's courses in Nursing and Midwifery, utilizing the Moodle learning management system. She is instrumental in promoting diversity and inclusion through her materials and activities and oversees the ‘Indigenous Health Nursing Midwifery Practice’ unit (NUR1013), which is focused on cultural safety. Previously, from 2014 to 2018, she was a project officer where she played a key role in developing a Moodle-based case-based learning platform, enhancing the student experience through multimedia-rich case studies and immediate expert feedback. Prior to this, Dr. Heinrich worked for over a decade as a psychology lecturer, where she innovated online resources for teaching research design and analysis. Her contributions have resulted in significant improvements in educational outcomes and student satisfaction. As a Psychology Teaching and Learning Coordinator, she implemented award-winning programs that promoted diversity in learning and adapted traditional teaching methodologies to better serve large cohorts of students. She holds a Doctorate in Psychology from Monash University, as well as a Bachelor of Science and a Graduate Certificate in Academic Practice.

Research Interests

Awards

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Australian Awards for University Teaching

2022-02-23
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Dean’s Award for Excellence in Diversity and Inclusion

2018-08-13
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Dean’s Award for Excellence in Education

2018-08-13
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Dean’s Award for Excellence in Education

2013-07-03
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Outstanding Contribution to Undergraduate Teaching

2008-12-01

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.