- Educational Data Mining : Learning Analytics : Educational Process Mining : Dynamic Student/User Profiling
Dr. Rabia Maqsood obtained her Ph.D. degree from the University of Milan, Italy, in January 2020. Her research interests encompass Educational Data Mining (EDM), Learning Analytics, and, Educational Process Mining. The prime focus of her research is to comprehend and shape students’ learning behaviors using their logged interactions captured by computer-based learning environments (e.g. LMS, MOOCs, and educational games). In this respect, Dr. Rabia is investigating efficient mechanisms for modeling students’ sequential trajectories so that the raw logged data can be transformed into comprehensible and human-interpretable information. In general, she is interested in other related problems that fall under the domain of EDM. Besides this, she is involved in developing new tools and techniques that offer data-driven learning analytics to students, teachers, and other stakeholders.
During her doctoral studies, Rabia has spent 9-months at the Knowledge Discovery and Intelligent Systems (KDIS) Lab of the University of Cordoba, Spain. She has also worked as a Research Fellow at the EBTIC research center of the Khalifa University (KU), Abu Dhabi (UAE), from October 2019 to December 2019. During her 3-months research stay at the KU, she developed a novel solution for automation and optimization of indoor fire alarm system for the Etisalat telecommunications company. She has been serving as a reviewer for different international conferences and journals.
Previously, Rabia has played a vibrant role as one of the pioneer faculty members at NUCES-FAST, CFD Campus, for more than 4 years starting from August 2012. After completing her doctoral studies, she has re-joined the campus since September 2020.
Ph.D. (Computer Science), 2020
University of Milan (Milan, Italy)
M.S. (Computer Science), 2010
NUCES-FAST (Lahore, Pakistan)
B.S. (Computer Science), 2007
University of Agriculture Faisalabad (Faisalabad, Pakistan)
Peer Reviewed International Conferences
Rabia Maqsood, Paolo Ceravolo and Sebastián Ventura. “Discovering Students’ Engagement Behaviors in Confidence-based Assessment.” 2019 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2019.
Rabia Maqsood and Paolo Ceravolo. “Corrective Feedback and its Implications on Students’ Confidence-based Assessment.” 2018 International Technology Enhanced Assessment Conference (TEA). Springer, Cham. 2019.
Rabia Maqsood and Paolo Ceravolo. “Modeling Behavioral Dynamics in Confidence-Based Assessment.” 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT). IEEE, 2018.
Rabia Maqsood and Qaiser S.Durrani. “Itsas: An approach towards adaptive student assessment.” 2011 IEEE 3rd International Conference on Communication Software and Networks. IEEE, 2011.
Rabia Maqsood, Paolo Ceravolo, Cristobal Romero and Sebastián Ventura. “Modeling and Predicting Students’ Engagement Behaviors: A new approach for Mixture Markov Models”. (Under review)
Constructing Students’ Multiview Behavioral Profiles.