Dr Thushari Atapattu Mudiyanselage

Thushari Dilhani Atapattu Atapattu Mudiyanselage
Research Associate
School of Computer Science
Faculty of Engineering, Computer and Mathematical Sciences

I am a Post-doctoral Research Fellow at the Computer Science Education Research Group. My main research interests lie in the area of learning analytics, natural language processing, learning at scale (MOOCs) and discourse analysis.

Connect with me

Dr Thushari Atapattu Mudiyanselage

I am a Post-doctoral Research Fellow at the Computer Science Education Research Group. My main research interests lie in the area of learning analytics, natural language processing, learning at scale (MOOCs) and discourse analysis.

I am a Post-doctoral Research Fellow at the Computer Science Education Research Group. My main research interests lie in the area of learning analytics, natural language processing, learning at scale (MOOCs) and discourse analysis.

Appointments

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 Amount
2017 - 2017 Award Adelaide Women's Research Excellence Award University of Adelaide $5000
2015 Recognition Dean's Commendation for Doctoral Thesis Excellence University of Adelaide
2013 Nomination Google Anita Borg scholarship Google
2012 Award Google PhD Travel Award Google $2500
2011 Scholarship University of Adelaide PhD scholarship University of Adelaide

Education

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)

Research Interests

Computational Linguistics, Educational Technology and Computing, Information Retrieval and Web Search, Learning Sciences, Natural Language Processing

Book Chapters

Year Citation
2015 Atapattu Mudiyanselage, T., Falkner, K. & Falkner, N. (2015). An evaluation methodology for concept maps mined from lecture notes: an educational perspective. In S. Zvacek, M. T. Restivo, J. Uhomoibhi & M. Helfert (Eds.), Computer Supported Education (pp. 68-83). Springer International Publishing.
10.1007/978-3-319-25768-6_5

Conference Papers

Year Citation
2016 Atapattu Mudiyanselage, T., Falkner, K. & Tarmazdi, H. (2016). Topic-wise classification of MOOC discussions: a visual analytics approach. 9th International Conference on Educational Data Mining (EDM). T. Barnes, M. Chi & M. Feng (Eds.) Raleigh, NC, USA.
2016 Atapattu Mudiyanselage, T. & Falkner, K. (2016). A framework for topic generation and labeling from MOOC discussions. Third Annual ACM Conference on Learning @ Scale (L@S '16). Edinburgh, UK.
10.1145/2876034.2893414
2015 Atapattu, T., Falkner, K. & Falkner, N. (2015). Educational question answering motivated by question-specific concept maps. 17th International Conference on Artificial Intelligence in Education (AIED). C. Conati, N. Heffernan, A. Mitrovic & M. F. Verdejo (Eds.) Madrid, Spain.
10.1007/978-3-319-19773-9_2
2015 Atapattu, T., Falkner, K. E. & Falkner, N. (2015). Task-adapted concept map scaffolding to support quizzes in an online environment. 20th Annual Conference on Innovation and Technology in Computer Science Education. Vilnius, Lithuania.
10.1145/2729094.2742634
2014 Atapattu Mudiyanselage, T., Falkner, K. & Falkner, N. (2014). Evaluation of concept importance in concept maps mined from lecture notes: computer vs human. 6th International Conference on Computer Supported Education (CSEDU 2014). S. Zvacek, M. T. Restivo, J. Uhomoibhi & M. Helfert (Eds.) Barcelona, Spain.
10.5220/0004842300750084
2014 Atapattu Mudiyanselage, T., Falkner, K. & Falkner, N. (2014). Acquisition of triples of knowledge from lecture notes: a natural language processing approach. 7th International Conference on Educational Data Mining. Stamper, J., Pardos, Z. & M. Mavrikis (Eds.) London, United Kingdom.
2012 Atapattu Mudiyanselage, T., Falkner, K. & Falkner, N. (2012). Automated extraction of semantic concepts from semi-structured data: supporting computer-based education through the analysis of lecture notes. International Conference on Database and Expert Systems Applications (DEXA). Vienna.
10.1007/978-3-642-32600-4_13

Conference Items

Year Citation
2012 Atapattu Mudiyanselage, T. (2012). Automated generation of practice questions from semi-structured lecture notes. Ninth annual international conference on International computing education research. Auckland, New Zealand.
10.1145/2361276.2361307

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).

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

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

For potential students (Honours, Masters and PhD):

If you have a passion for any of the above areas and would like to pursue higher studies in the University of Adelaide, feel free to email me with your current CV, transcripts of all degrees and a statement about your research interest.

Some information about Postgraduate scholarship (domestic and international) can be found here

Current HDR students

Menasha Thilakaratne (PhD) with Katrina Falkner - Natural Language Processing techniques for learning at scale

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
Fax
8313 4366
Campus
North Terrace
Building
Ingkarni Wardli
Room Number
4 46
Org Unit
School of Computer Science

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