Data-Driven Artificial Intelligence in Education: A Comprehensive Review

Sep 1, 2023·
Kashif Ahmad
Dr. Waleed Iqbal
Dr. Waleed Iqbal
,
Ammar El-Hassan
,
Junaid Qadir
,
Driss Benhaddou
,
Moussa Ayyash
,
Ala Al-Fuqaha
· 0 min read
Abstract
A comprehensive review of data-driven and artificial-intelligence approaches used across educational technology, covering recommender systems for learners, learning analytics, adaptive tutoring, and the ethical and privacy implications of deploying AI at scale in classrooms.
Type
Publication
IEEE Transactions on Learning Technologies, 17, 12-31
publications
AI for Education
Dr. Waleed Iqbal
Authors
Dr. Waleed Iqbal

I am Waleed Iqbal, an Assistant Professor in Data Science at Northeastern University, based at their London Campus.

I also hold position of Teaching Fellow in Computer Science at the School of Electronic Engineering and Computer Science, Queen Mary University of London.

I received my PhD in Computer Science under the supervision of Dr. Ignacio Castro and Prof. Gareth Tyson in the Social Data Science (SDS) Lab, Networks Research Group at Queen Mary University of London.

My research interests are broadly in manifestation of socio-economic inequality in online user activity.

Previously, I worked at IHSAN Lab in Information Technology University Lahore, Pakistan, supervised by Prof. Junaid Qadir as a postgraduate thesis student, affiliated researcher, and teaching assistant.

Since September 2023, I am endorsed and recognised as UK Global Talent (Exceptional Promise) in the Research and Academic Category by the Royal Academy of Engineering UK and granted Global Talent Visa by the Government of the United Kingdom.