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:

• Learning analytics, eLearning, self-regulated learning:

1. Closing the gap between academia and industry through personalized student journey maps;

2. University Learning: A complex systems approach to higher education students' use of self-regulated learning skills;

3. Canvas dashboards and visual feedback for students;

• Natural Language Processing, Machine Learning, eLearning, Recommendation Systems, Intelligent Tutoring Systems:

1. ”Show me how you write and I will tell you what to do”: Using writing analytics to provide real-time personalized feedback to students in essay assessments;

2. Impact of cognitive load and stress in online assessments: a stylometric Investigation;

3. Writing analytics across essay tasks with different cognitive load demands;

• Software Engineering, Requirements Engineering, Engineering Education:

1. Motivational models for validating agile requirements in Software Engineering subjects;

2. Transitioning from motivational goal models to user stories within user-centred software design;

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

(NDIS - UOM+Flinders University+University of Queensland) Keith McVilly, Michael Kirley, Eduardo Oliveira. Funding 2021-2023. Funding; $1.2mi.

(MSEI - Community Fellow Program - UOM - Australia) Eduardo Oliveira, Morgan (Berry Street). Funding 2021. The University of Melbourne - Australia. Funding; $5,000.

(LTI - UOM - Australia) Employability skills: closing the gap between academia and industry through personalized student journey maps. Eduardo Oliveira, Antonette Mendoza, Sandra Milligan, Paula de Barba, Pauline Thompson, Narelle English. Funding 2021. The University of Melbourne - Australia. Funding; $30,000.

(Google CS Educator PD - Australia) Eduardo Oliveira, Kylie McColl. Funding 2020. The University of Melbourne - Australia. Funding; $10,000.

(Google CS Educator PD - Australia) Eduardo Oliveira, Kylie McColl. Funding 2019. The University of Melbourne - Australia. Funding; $10,000.

(Google CS Educator PD - Australia) Eduardo Oliveira, Kylie McColl, Andrew Turpin. Funding 2018. The University of Melbourne - Australia. Funding; $10,000.

(MNSI - UOM - Australia) Project MyCampus. Tom Kvan, Fernando Koch, Michael Kirley, Jan Dethlefs, Eduardo Oliveira. Seed Funding 2017. MNSI - Australia. Funding; $40,000.

(McCoy - Australia) 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. From Jan 2017 to Dec 2017.

• Artificial Intelligence: Natural Language Processing, Machine Learning, Context Awareness, Recommendation Systems, Intelligent Tutoring Systems.

• eLearning: LMS, MOOC, Learning Analytics, Assessment, IRT.

• Smart and Playable Cities: Middleware/Platform, Interoperability.

• Software Engineering: Software Architecture Design and Development, Motivational Modelling, Requirements Engineering.