Dr Eduardo Oliveira

I am a Teaching Fellow in the School of Computing and Information Systems at the University of Melbourne. I hold Masters and PhD in Computer Science from Federal University of Pernambuco (Brazil). During my scientific studies initiated in 2006, I worked together with computer scientists, designers, educators and psychologists in educational contexts. My studies were (and are) focused on artificial intelligence applied in eLearning. In 2013, my PhD was awarded Best PhD Thesis according to the Brazilian Computer Society (SBC) in Congress on Computers in Education.

In the past 7 years, I have been working with and researching the use of artificial intelligence applied in online teaching and learning together with the Melbourne School of Education, the Assessment Research Centre and the Melbourne Centre for the Study of Higher Education. My most recent publications in Q1 journals were focused on the use of learning analytics and artificial intelligence to monitor and/or support students' performance in online environments.

Parallel to my research, I worked for 12 years as a Specialist System Engineer and Technical Consultant at CESAR (Recife-Pernambuco/Brazil), awarded two times as the most Innovative IT Institute in Brazil, researching/leading/developing for Motorola, Samsung, Compal Electronics, Gemalto and other international projects.

Since the beginning of my career I have been actively building relationship and working with universities, technology clusters, innovation institutes, governmental agencies and private companies. As such, I lecture for software engineering subjects in the School of Computing and Information Systems, am always trying to promote industry engagement, and am also interested in conducting research in engineering education. My most recent research investigates the use of motivational goal models to support requirements engineering.

Some research projects for prospective PhD, MPhil and Masters students include:

• Artificial Intelligence and Education

1. Employability skills: closing the gap between academia and industry through personalized student journey maps

2. Goal-oriented Dashboard to Motivate Online Learning in Canvas Learning Management Systems (LMS)

3. Academic Integrity Writing Analysis

4. Smart Learning Environments

• Software Engineering and Engineering Education

1. Motivational Model Editor Tool

2. Requirements validation and motivational models

3. User-Centred Software Design: Using Motivational Models for Teaching and Validating Requirements in Software Engineering Subjects

4. Software Engineering and Employability Skills

For PhD supervision enquiries, please apply here: Request for Supervision