Dr. Anita Dewi

Assistant Professor

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Biography

Anita Dewi is a researcher affiliated with Monash University, focusing on Indonesian Studies. She holds a PhD in Applied Linguistics from Monash University, where her research centered on perceptions of English among staff and students at universities in Yogyakarta, Indonesia. With a Master's in Education (TESOL) from Monash University, her academic qualifications also include a Master of Science in Agribusiness Management from Gadjah Mada University. Her professional work has explored diverse fields including Librarianship, Applied Linguistics, and Translation Studies. In recent years, Dewi has contributed to projects like the AKS CORE University Programme, which aims to strengthen Korean Studies in the Melbourne metropolitan area. She frequently collaborates with other scholars and institutions on various research activities and public events, such as community talks and presentations addressing the impact of the COVID-19 pandemic on library services in Asia. Dewi is committed to enhancing disciplinary understanding and contributing to significant educational discourses through her research and professional engagements.

Research Interests

Experience

Researcher

2017-12-20 — 2022-12-19

Monash University • Melbourne, Australia

Led the project on Korean Studies as part of a collaborative initiative to strengthen intercultural education and research in Melbourne.

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.