Thushari Atapattu Mudiyanselage

Dr Thushari Atapattu Mudiyanselage

Research Associate

School of Computer Science

Faculty of Engineering, Computer and Mathematical Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.


I am a Post-doctoral Research Fellow at the Computer Science Education Research Group.My research focuses on better understanding the latent discourse aspects in large corpora of natural language text, and using this understanding to build computational models that can improve human communication process. My research interests lie in the areas of text mining, natural language processing, discourse processing, and educational technology. Some of my recent research projects explores;

  1. Using linguistic fingerprints to combat cyberbullying,
  2. Modeling language related to mental health using social media data,
  3. Impact of teachers’ academic discourse in lecture videos for students’ video engagement in massive classrooms (MOOCs),
  4. Modeling coginitive engagement and measuring new knowledge construction in online teacher professional development MOOCs
  5. Language and discourse aspects of learners’ with ‘confused’ state in massive open online courses (MOOCs)
Regardless of the discipline, I am passionate about everything in TEXT, DISCOURSE, LANGUAGE, COGNITIVE PSYCHOLOGY & MIND :)
 

K. Falkner, R. Vivian, and T. Atapattu, Artificial Intelligence resources to support the Artificial Intelligence in schools initiative, Department of Education & Training, $585,000 (2019)

K. Falkner, R. Vivian and T. Atapattu, AI Professional Development program for K-12 teachers in support of the Digital Technologies Curriculum in Australia, Google Australia & New Zealand, $83,749 (2019).

K. Falkner, R. Vivian and T. Atapattu, Understanding the relationship between social community formation and progression within MOOC environments, Research Contract, Google Australia, $37,687 (2017).

2019 (Semester 2): COMP SCI 1106 - Introduction to Software Engineering

2017 (Semester 1): COMP SCI 7098 - Master of Computing & Innovation Project

2017 (Semester 2): COMP SCI 1106 - Introduction to Software Engineering

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  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2018 Co-Supervisor Predict Student Behavior and Provide Supplementary Feedback to Increase the Student Engagement through Learning Analytics Doctor of Philosophy Doctorate Full Time Miss Lavendini Sivaneasharajah
    2017 Co-Supervisor Natural Language Processing Techniques for large scale learning Doctor of Philosophy Doctorate Full Time Miss Menasha Thilakaratne
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  • Memberships

    Date Role Membership Country
    2016 - ongoing Society for Learning Analytics Research (SOLAR)
    2014 - ongoing International Educational Data Mining Society (IEDM)
    2014 - ongoing Member International Artificial Intelligence in Education Society (IAIED)
  • Position: Research Associate
  • Phone: 83139077
  • Email: thushari.atapattu@adelaide.edu.au
  • Fax: 8313 4366
  • Campus: North Terrace
  • Building: Ingkarni Wardli, floor 4
  • Room: 4 46
  • Org Unit: School of Computer Science

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