Thushari Atapattu
Thushari Atapattu
School of Computer Science, University of Adelaide
Bestätigte E-Mail-Adresse bei adelaide.edu.au - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A comprehensive text analysis of lecture slides to generate concept maps
T Atapattu, K Falkner, N Falkner
Computers & Education 115, 96-113, 2017
322017
Categorizing the content of GitHub README files
GAA Prana, C Treude, F Thung, T Atapattu, D Lo
Empirical Software Engineering 24 (3), 1296-1327, 2019
292019
Topic-Wise Classification of MOOC Discussions: A Visual Analytics Approach.
T Atapattu, K Falkner, H Tarmazdi
International Educational Data Mining Society, 2016
232016
A framework for topic generation and labeling from MOOC discussions
T Atapattu, K Falkner
Proceedings of the Third (2016) ACM Conference on Learning@ Scale, 201-204, 2016
192016
Acquisition of Triples of Knowledge from Lecture Notes: A Natural Language Processing Approach
T Atapattu, K Falkner, N Falkner
7th International conference on Educational Data Mining (EDM), 193-196, 2014
182014
Automated extraction of semantic concepts from semi-structured data: Supporting computer-based education through the analysis of lecture notes
T Atapattu, K Falkner, N Falkner
International Conference on Database and Expert Systems Applications, 161-175, 2012
172012
Educational question answering motivated by question-specific concept maps
T Atapattu, K Falkner, N Falkner
International Conference on Artificial Intelligence in Education, 13-22, 2015
122015
Evaluation of Concept Importance in Concept Maps Mined from Lecture Notes - Computer Vs Human
NF Thushari Atapattu, Katrina Falkner
6th International Conference on Computer Supported Education (CSEDU 2014), 75-84, 2014
12*2014
A systematic review on literature-based discovery workflow
M Thilakaratne, K Falkner, T Atapattu
PeerJ Computer Science 5, e235, 2019
102019
Impact of lecturer’s discourse for students’ video engagement: Video learning analytics case study of moocs
T Atapattu, K Falkner
Journal of Learning Analytics 5 (3), 182–197-182–197, 2018
92018
A systematic review on literature-based discovery: General overview, methodology, & statistical analysis
M Thilakaratne, K Falkner, T Atapattu
ACM Computing Surveys (CSUR) 52 (6), 1-34, 2019
62019
Detecting cognitive engagement using word embeddings within an online teacher professional development community
T Atapattu, M Thilakaratne, R Vivian, K Falkner
Computers & Education 140, 103594, 2019
52019
Automatic detection of cross-disciplinary knowledge associations
M Thilakaratne, K Falkner, T Atapattu
Proceedings of ACL 2018, Student Research Workshop, 45-51, 2018
52018
Discourse analysis to improve the effective engagement of MOOC videos
T Atapattu, K Falkner
Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017
52017
An Identification of Learners' Confusion through Language and Discourse Analysis
T Atapattu, K Falkner, M Thilakaratne, L Sivaneasharajah, R Jayashanka
arXiv preprint arXiv:1903.03286, 2019
22019
An evaluation methodology for concept maps mined from lecture notes: An educational perspective
T Atapattu, K Falkner, N Falkner
International Conference on Computer Supported Education, 68-83, 2014
22014
Connecting the Dots: Hypotheses Generation by Leveraging Semantic Shifts
M Thilakaratne, K Falkner, T Atapattu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 328-340, 2020
12020
Task-adapted concept map scaffolding to support quizzes in an online environment
T Atapattu, K Falkner, N Falkner
Proceedings of the 2015 ACM Conference on Innovation and Technology in …, 2015
12015
A computational model for task-adapted knowledge organisation: improving learning through concept maps extracted from lecture slides.
TDA Atapattu Mudiyanselage
12015
Acquisition of triples of knowledge from lecture notes: a natural language processing approach
T Atapattu Mudiyanselage, K Falkner, N Falkner
International Educational Data Mining Society (IEDMS), 2014
12014
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