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.
- My Research
- Grants and Funding
- Professional Activities
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;
- Using linguistic fingerprints to combat cyberbullying,
- Modeling language related to mental health using social media data,
- Impact of teachers’ academic discourse in lecture videos for students’ video engagement in massive classrooms (MOOCs),
- Modeling coginitive engagement and measuring new knowledge construction in online teacher professional development MOOCs
- Language and discourse aspects of learners’ with ‘confused’ state in massive open online courses (MOOCs)
Date Position Institution name 2017 Lecturer University of Adelaide 2015 Post-doctoral Research Fellow University of Adelaide 2010 - 2015 Software Engineer Globe Medical
Awards and Achievements
Date Type Title Institution Name Country Amount 2017 Award Adelaide Women's Research Excellence Award University of Adelaide Australia $5000 2015 Recognition Dean's Commendation for Doctoral Thesis Excellence University of Adelaide Australia — 2013 Nomination Google Anita Borg scholarship — — 2012 Award Google PhD Travel Award — $2500 2011 Scholarship University of Adelaide PhD scholarship University of Adelaide Australia —
Date Institution name Country Title 2011 - 2014 University of Adelaide Australia Doctor of Philosophy 2004 - 2008 University of Colombo Sri Lanka Bachelor of Computer Science (Hons)
Year Citation 2019 Atapattu, T., Thilakaratne, M., Vivian, R., & Falkner, K. (2019). Detecting cognitive engagement using word embeddings within an online teacher professional development community. Computers and Education, 140, 14 pages.
2019 Thilakaratne, M., Falkner, K., & Atapattu Mudiyanselage, T. (2019). A systematic review on literature-based discovery: General overview, methodology, & statistical analysis. ACM Computing Surveys, 52(6), 34 pages.
2019 Thilakaratne, M., Falkner, K., & Atapattu Mudiyanselage, T. (2019). A systematic review on literature-based discovery workflow. PEERJ COMPUTER SCIENCE, 40 pages.
2017 Atapattu, T., Falkner, K., & Falkner, N. (2017). A comprehensive text analysis of lecture slides to generate concept maps. Computers and Education, 115, 96-113.
DOI Scopus18 WoS14
Year Citation 2012 Atapattu Mudiyanselage, T. (2012). Automated generation of practice questions from semi-structured lecture notes. Poster session presented at the meeting of Proceedings of the ninth annual international conference on International computing education research. Auckland, New Zealand.
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
Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2020 Co-Supervisor Prediction of mastery learning and detection of misconceptions picked up by users in MOOC contexts. Master of Philosophy Master Full Time Mr Abhilash Sridhara 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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