1. Alexandron, G., Ruipérez-Valiente, J.A., Pritchard, D.E. (2015a). Evidence of MOOC students using multiple accounts to harvest correct answers. Learning with MOOCs II, 2015.
2. Alexandron, G., Zhou, Q., Pritchard, D. (2015b). Discovering the pedagogical resources that assist students in answering questions correctly – a machine learning approach. In Proceedings of the 8th international conference on educational data mining (pp. 520–523).
3. Alexandron, G., Ruipėrez-Valiente, J.A., Chen, Z., Muñoz-Merino, P.J., Pritchard, D.E. (2017). Copying@Scale using harvesting accounts for collecting correct answers in a MOOC. Communication Education, 108, 96–114.
4. Alexandron, G., Ruipérez-Valiente, J.A., Lee, S., Pritchard, D.E. (2018). Evaluating the robustness of learning analytics results against fake learners. In Proceedings of the thirteenth European conference on technology enhanced learning: Springer.
5. Alexandron, G., Ruipérez-Valiente, J.A., Pritchard, D.E. (2019). Towards a general purpose anomaly detection method to identify cheaters in massive open online courses. In Proceedings of the 12th international conference on educational data mining.