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Contact


Email

geela.chee@unimelb.edu.au

Credentials


Position
Lecturer (Education Specialist) Cis
School of Computing and Information Systems
Education
Doctorate
University of Canterbury
Post Graduate Diploma
University of Canterbury
Bachelors Degree
University of Canterbury
Bachelors Degree
University of Canterbury
ORCID

0000-0002-5574-3560

Dr Geela Chee

Lecturer (Education Specialist) Cis
School of Computing and Information Systems

15 Scholarly works
0 Projects

HIGHLIGHTS

  • 2025

    Conference Proceedings

    Large Teams, Authentic Problems: A Case Study of GenAI Educational Tool Development in Software Engineering
  • 2025

    Conference Proceedings

    Interactive Oral Assessments: Combating Ghostwriting in Large-Scale Technical Subjects
  • 2024

    Conference Proceedings

    Parsons Problems for Professional Learners
    DOI: 10.1145/3649405.3659519
  • 2024

    Journal article

    Leveraging Oral Assessments to Enhance Learning and Integrity in Teaching Data Analytics
    DOI: 10.14742/apubs.2024.1282
  • 2020

    Journal article

    Evaluation of Parsons Problems with Menu-Based Self-Explanation Prompts in a Mobile Python Tutor (vol 29, pg 507, 2019)
  • 2018

    Journal article

    Investigating the effects of learning activities in a mobile Python tutor for targeting multiple coding skills
    DOI: 10.1186/s41039-018-0092-x
  • 2018

    Conference Proceedings

    Supporting novices and advanced students in acquiring multiple coding skills
Geela Chee

Latest Honours,
Awards and Fellowships


2022
STAR Facilitator status (Teaching) RMIT Online
2021
Unit (Subject) Commendation for Teaching Programming Fundamentals University of Tasmania
2018
Asia-Pacific Society for Computers in Education Merit Scholarship Asia-Pacific Society for Computers in Education
2017
Best Student Paper Award 25th International Conference on Computers in Education (ICCE 2017)

RECENT SCHOLARLY WORKS

  • 2018

    Conference Proceedings

    Adaptive problem selection in a mobile python tutor
    DOI: 10.1145/3213586.3225235
  • 2018

    Conference Proceedings

    Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization
    DOI: 10.1145/3213586
  • 2017

    Conference Proceedings

    Learning with engaging activities via a mobile Python tutor
    DOI: 10.1007/978-3-319-61425-0_76

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


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Victoria, 3010, Australia

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