Paula G. de Barba
Cited by
Cited by
The role of students' motivation and participation in predicting performance in a MOOC
PG de Barba, G Kennedy, M Ainley
Journal of Computer Assisted Learning 32 (3), 218-231, 2016
Visualizing patterns of student engagement and performance in MOOCs
C Coffrin, L Corrin, P De Barba, G Kennedy
Proceedings of the fourth international conference on learning analytics and†…, 2014
How do students interpret feedback delivered via dashboards?
L Corrin, P De Barba
Proceedings of the fifth international conference on learning analytics and†…, 2015
A conceptual framework linking learning design with learning analytics
A Bakharia, L Corrin, P De Barba, G Kennedy, D Gašević, R Mulder, ...
Proceedings of the sixth international conference on learning analytics†…, 2016
Predicting success: how learners' prior knowledge, skills and activities predict MOOC performance
G Kennedy, C Coffrin, P De Barba, L Corrin
Proceedings of the fifth international conference on learning analytics and†…, 2015
A tale of two MOOCs: How student motivation and participation predict learning outcomes in different MOOCs
A Brooker, L Corrin, P de Barba, J Lodge, G Kennedy
Australasian Journal of Educational Technology 34 (1), 73-87, 2018
Technologies to enhance self-regulated learning in online and computer-mediated learning environments
J Broadbent, E Panadero, JM Lodge, P de Barba
Handbook of Research in Educational Communications and Technology: Learning†…, 2020
The importance and meaning of session behaviour in a MOOC
PG de Barba, D Malekian, EA Oliveira, J Bailey, T Ryan, G Kennedy
Computers & Education 146, 103772, 2020
Supporting self-regulated learning with learning analytics
JM Lodge, E Panadero, J Broadbent, PG de Barba
Learning analytics in the classroom, 45-55, 2018
Using learning analytics to explore help-seeking learner profiles in MOOCs
L Corrin, PG De Barba, A Bakharia
Proceedings of the seventh international learning analytics & knowledge†…, 2017
Use of media-rich real-time collaboration tools for learning and teaching in Australian and New Zealand universities.
M Bower, GE Kennedy, B Dalgarno, M Lee, J Kenney, P De Barba
ASCILITE 2012: 29th International Conference on Innovation, Practice and†…, 2012
Completing the loop: Returning meaningful learning analytic data to teachers
L Corrin, PG De Barba, L Lockyear, D Gašević, D Williams, S Dawson, ...
Australian Government Office for Learning and Teaching, 2016
Loop: A learning analytics tool to provide teachers with useful data visualisations
L Corrin, G Kennedy, P De Barba, A Bakharia, L Lockyer, D Gasevic, ...
Proceedings of the 32nd Annual Conference of the Australasian Society for†…, 2015
Detecting Contract Cheating Using Learning Analytics.
K Trezise, T Ryan, P de Barba, G Kennedy
Journal of Learning Analytics 6 (3), 90-104, 2019
Enabling adaptive, personalised and context-aware interaction in a smart learning environment: Piloting the iCollab system
E Araujo Oliveira, P de Barba, L Corrin
Australasian Journal of Educational Technology 37 (2), 1-23, 2021
Confidence drives exploration strategies in interactive simulations
A Arguel, JM Lodge, M Pachman, P de Barba
Show Me the Learning. Proceedings ASCILITE, 33-42, 2016
A learning analytics view of students’ use of self-regulation strategies for essay writing
K Trezise, PG de Barba, D Jennens, A Zarebski, R Russo, G Kennedy
Facilitating social learning through learning design: A perspective of†…, 2017
Analytics of what? Negotiating the seduction of big data and learning anlytics
G Kennedy, L Corrin, P De Barba
Visions for Australian Tertiary Education, 67-76, 2017
Characterising Students' Writing Processes Using Temporal Keystroke Analysis.
D Malekian, J Bailey, G Kennedy, P de Barba, S Nawaz
International Educational Data Mining Society, 2019
Determining Students' Assessment Feedback Preferences for Personal Analytics Solutions
L Corrin, P De Barba
Department of Education, Skills and Employment, 2020
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