Shaveen Singh

According to our database, Shaveen Singh authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi-text writing task.

Mladen Rakovic, Sehrish Iqbal, Tongguang Li, Yizhou Fan, Shaveen Singh, Surya Surendrannair, Jonathan Kilgour, Joep van der Graaf, Lyn Lim, Inge Molenaar, Maria Bannert, Johanna D. Moore, Dragan Gasevic

J. Comput. Assist. Learn., June, 2023

Towards a fuller picture: Triangulation and integration of the measurement of self-regulated learning based on trace and think aloud data.

Yizhou Fan, Mladen Rakovic, Joep van der Graaf, Lyn Lim, Shaveen Singh, Johanna D. Moore, Inge Molenaar, Maria Bannert, Dragan Gasevic

J. Comput. Assist. Learn., 2023

Effects of real-time analytics-based personalized scaffolds on students' self-regulated learning.

Lyn Lim, Maria Bannert, Joep van der Graaf, Shaveen Singh, Yizhou Fan, Surya Surendrannair, Mladen Rakovic, Inge Molenaar, Johanna D. Moore, Dragan Gasevic

Comput. Hum. Behav., 2023

2022

Is it a good move? Mining effective tutoring strategies from human-human tutorial dialogues.

Jionghao Lin, Shaveen Singh, Lele Sha, Wei Tan, David Lang, Dragan Gasevic, Guanliang Chen

Future Gener. Comput. Syst., 2022

Charting Design Needs and Strategic Approaches for Academic Analytics Systems through Co-Design.

Yi-Shan Tsai, Shaveen Singh, Mladen Rakovic, Lisa-Angelique Lim, Anushka Roychoudhury, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Effects of Internal and External Conditions on Strategies of Self-regulated Learning: A Learning Analytics Study.

Namrata Srivastava, Yizhou Fan, Mladen Rakovic, Shaveen Singh, Jelena Jovanovic, Joep van der Graaf, Lyn Lim, Surya Surendrannair, Jonathan Kilgour, Inge Molenaar, Maria Bannert, Johanna D. Moore, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

Using Learner Trace Data to Understand Metacognitive Processes in Writing from Multiple Sources.

Mladen Rakovic, Yizhou Fan, Joep van der Graaf, Shaveen Singh, Jonathan Kilgour, Lyn Lim, Johanna D. Moore, Maria Bannert, Inge Molenaar, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

2021

Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms.

John Saint, Yizhou Fan, Shaveen Singh, Dragan Gasevic, Abelardo Pardo

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

A learning analytic approach to unveiling self-regulatory processes in learning tactics.

Yizhou Fan, John Saint, Shaveen Singh, Jelena Jovanovic, Dragan Gasevic

Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Question-driven Learning Analytics: Designing a Teacher Dashboard for Online Breakout Rooms.

Stanislav Pozdniakov, Roberto Martínez Maldonado, Shaveen Singh, Peter Chen, Dan Richardson, Tom Bartindale, Patrick Olivier, Dragan Gasevic

Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

2020

UserFlow: A Tool for Visualizing Fine-grained Contextual Analytics in Teaching Documents.

Shaveen Singh, Bernd Meyer, Michael Wybrow

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

2019

Using Social Annotations to Augment the Learning Space and Learner Experience.

Shaveen Singh, Bernd Meyer

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Exploring the Potential of Social Annotations for Predictive and Descriptive Analytics.

Shaveen Singh

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Leveraging Student Self-reports to Predict Learning Outcomes.

Shaveen Singh

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019