Dr Eduardo Araujo Oliveira

Dr Eduardo Araujo Oliveira

Research Fellow

Melbourne CSHE

Eduardo’s role focuses on research in the areas of educational technology and learning analytics. His areas of expertise are in natural language processing, machine learning, context-awareness and prediction.

During his Masters and PhD, Eduardo has researched about intelligent agents, context awareness, natural language processing, machine learning, social networks and middleware. As an outcome of his PhD research, awarded Best PhD Thesis according to the Brazilian Computer Society in Congress on Computers in Education 2013, a Conversational Intelligent Tutoring System (CITS) that can be used to create personalized virtual learning in Web-based systems was specified and developed. The CITS combines key modules of a traditional conversational ITS with the ability of individual student users to access personalized content via social media (e.g. Facebook, Twitter, Yammer) and heterogeneous Web systems (e.g. Skype, Gtalk, Webmails, LMS and MOOC). The biggest challenge of his research was to create a concept where different systems, devices and data were integrated as an unique distributed learning system.

Eduardo is currently a Honorary Fellow/Visiting Academic at Department of Computing and Information Systems and Research Fellow at the Melbourne Centre for the Study of Higher Education. He is part of the Educational Technology Research Group and the Learning Analytics Research Group.

Parallel to his research, he has worked for 11 years as a Senior System Engineer and Technical Consultant at CESAR (Recife-Pernambuco/Brazil), twice awarded most Innovative IT Institute in Brazil, researching/leading/developing international projects for Motorola, Samsung, Compal Electronics and Gemalto. His main responsibilities were to bring innovative solutions to these companies as well as to lead technical cross-disciplinary teams in charge of each project. Eduardo has experience in various areas, including: (i) e-learning; (ii) context awareness; (iii) natural language processing; (iv) machine learning; (v) mobile devices; (vi) social networks.

Furthermore, for five years Eduardo has been teaching subjects in Computer Science and Digital Games courses in important universities in Pernambuco State, Brazil.


2017. Learning reflections: Designing interventions to promote learning in museums. Gregor Kennedy, Cameron Hocking, Eduardo Araujo Oliveira, Paula de Barba, Kristine Elliot, Ben Cleveland. The University of Melbourne and Museum Victoria, McCoy Project. Funding; $20,000.