Refereed Conference Full Papers

 
  1. Tsai, Y.S., Singh, S., Rakovic, M., Lim, L.A., Roychoudhury, A. and Gasevic, D., 2022, March. Charting design needs and strategic approaches for academic analytics systems through co-design. In LAK22: 12th International Learning Analytics and Knowledge Conference (pp. 381-391). [Core Ranked A]
  2. Rakovic, M., Fan, Y., Van Der Graaf, J., Singh, S., Kilgour, J., Lim, L., Moore, J., Bannert, M., Molenaar, I. and Gasevic, D., 2022, March. Using learner trace data to understand metacognitive processes in writing from multiple sources. In LAK22: 12th International Learning Analytics and Knowledge Conference (pp. 130-141). ). [Core Ranked A] [Nominated for Best Paper Award] šŸ†
  3. Srivastava, N., Fan, Y., Rakovic, M., Singh, S., Jovanovic, J., Van Der Graaf, J., ... & Gasevic, D. (2022, March). Effects of internal and external conditions on strategies of self-regulated learning: A learning analytics study. In LAK22: 12th international learning analytics and knowledge conference (pp. 392-403). [Core Ranked A]
  4. Saint, J., Fan, Y., Singh, S., Gasevic, D., & Pardo, A. (2021, April). Using process mining to analyse self-regulated learning: a systematic analysis of four algorithms. In LAK21: 11th International Learning Analytics and Knowledge Conference (pp. 333-343). [Core Ranked A]
  5. Fan, Y., Saint, J., Singh, S., Jovanovic, J., & GaÅ”ević, D. (2021, April). A learning analytic approach to unveiling self-regulatory processes in learning tactics. In LAK21: 11th International Learning Analytics and Knowledge Conference (pp. 184-195). [Core Ranked A]
  6. Singh, S., Meyer, B., & Wybrow, M. (2020, June). UserFlow: A Tool for Visualizing Fine-grained Contextual Analytics in Teaching Documents. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (pp. 384-390). [Core Ranked A] [Nominated for Best Paper Award] šŸ†
  7. Singh S., & Meyer, B. Using social annotations to augment the learning space and learner experience. In Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education (pp. 527-533). ACM. (July, 2019). [Core Ranked A]
  8. Singh S., Chand A., Lal S. P.: Improving Spam Detection Using Neural Networks Trained by Memetic Algorithm. In: Proceedings of IEEE 5th International Conference on Computational Intelligence Mathematical Modeling and Simulation, Seoul, Korea, pp. 55-60. (Sept, 2013).
  9. Singh S., Lal S. P.: Using Feature Selection and Association Rule Mining to Evaluate Digital Courseware. In: Proceedings of IEEE International Conference on ICT and Knowledge Engineering, Bangkok, Thailand, pp. 1-7. (Nov, 2013)
  10. Singh S., Jokhan A., Sharma B., Lindley D.: Supporting Sustainable Student Learning At USP Through the Use of Eportfolios. In: Proceedings of IEEE Conference on E-Learning, E-Management and E-Services, Sarawak, Malaysia, pp. 68-72. (Dec, 2013)
  11. Singh S., Lal S. P.: Educational courseware evaluation using machine learning techniques. In: Proceedings of IEEE Conference on E-Learning, E-Management and E-Services, Sarawak, Malaysia, pp. 73-78. (Dec, 2013)

Refereed Conference Short Papers

  1. Pozdniakov, S., Martinez-Maldonado, R., Singh, S., Chen, P., Richardson, D., Bartindale, T., ... & GaÅ”ević, D. (2021, July). Question-driven Learning Analytics: Designing a Teacher Dashboard for Online Breakout Rooms. In 2021 International Conference on Advanced Learning Technologies (ICALT) (pp. 176-178). IEEE. [Core Ranked B]
  2. Singh, S. Leveraging Student Self-reports to Predict Learning Outcomes. In International Conference on Artificial Intelligence in Education (pp. 398-403). Springer, Cham. (June, 2019). [Core Ranked A]
  3. Singh S., Exploring the Potential of Social Annotations for Predictive and Descriptive Analytics. In Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education (pp. 247-248). ACM. (July, 2019). [Core Ranked A]
  4. Singh, V., Sharma, B. N., Jokhan, A. D. and Singh, S. Early Warning System, In: Proceedings of the 12th Pacific Science Inter-Congress Suva, Fiji, pp. 165-169 (Jul, 2013)
  5. Singh, S., Sharma, B. N. and Jokhan, A. D. Implementing programme-wide eportfolio to support sustainable student learning at USP, In: Proceedings of the 12th Pacific Science Inter-Congress, Suva, Fiji, pp. 112-116. (Jul, 2013)

Refereed Journal Articles

  1. Pozdniakov, S., Martinez-Maldonado, R., Singh S., Khosravi, H., & GaÅ”ević, D. (2023). Using learning analytics to support teachers. Handbook of Artificial Intelligence in Education, 322. [Ranked Q1]
  2. Lim, L., Bannert, M., van der Graaf, J., Singh S., Fan, Y., Surendrannair, S., Rakovic, M., Molenaar, I., Moore, J. and GaÅ”ević, D., 2023. Effects of real-time analytics-based personalized scaffolds on studentsā€™ self-regulated learning. Computers in Human Behavior, 139, p.107547. [Ranked Q1]
  3. Lin, J., Singh S., Sha, L., Tan, W., Lang, D., GaÅ”ević, D. and Chen, G., 2022. Is it a good move? Mining effective tutoring strategies from humanā€“human tutorial dialogues. Future Generation Computer Systems, 127, pp.194-207. [Ranked Q1]
  4. Raković, M., Iqbal, S., Li, T., Fan, Y., Singh S., Surendrannair, S., Kilgour, J., van Der Graaf, J., Lim, L., Molenaar, I. and Bannert, M., 2022. Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multiā€text writing task. Journal of Computer Assisted Learning. [Ranked Q1]
  5. Fan, Y., van der Graaf, J., Lim, L., Raković, M., Singh S., Kilgour, J., Moore, J., Molenaar, I., Bannert, M. and GaÅ”ević, D., 2022. Towards investigating the validity of measurement of self-regulated learning based on trace data. Metacognition and Learning, 17(3), pp.949-987. [Ranked Q1]
  6. Jokhan, A., Sharma, B., & Singh S. (2018). Early warning system as a predictor for student performance in higher education blended courses. Studies in Higher Education, 1-12. [Ranked Q1]
  7. Singh S., Jokhan A., Sharma B. N. and Lal S. (2011) An innovative approach of progressive feedback via artificial neural networks. Journal of Machine Learning Technologies, ISSN: 2229-3981 & ISSN: 2229-399X, Volume 2, Issue 2, pp-64-71.

Poster Paper

  1. Singh, S., Rakovic, M., Lim, K.P., van der Graaf, J., Fan, Y.,Kilgour, J., Bannert, M., Molenaar, I., Gasevic, D. & Moore, J. (2021, April). Using Enhanced Learner-facing Visual Interfaces to support Self-Regulated Learning. In Companion Proceedings of the 11th International Conference on Learning Analytics & Knowledge. (pp. 61-63)

Thesis

 

Intelligent student progress monitoring in an E-learning environment using Neural Network trained with Memetic Algorithm (M.Sc.)
Shaveen Singh
USP University of the South Pacific, 2014.
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