A. Dias De Araujo Junior MSc | People Pages: Find employees & contact details

Hello!

I am currently pursuing my PhD at the department of Learning, Data analytics and Technology (LDT), investigating how collaborative conversational agents can help student dialogues in online science lessons.

A bit of my professional story: I did my bachelor's and master's in Computer Engineering and Systems & Computing, respectively, at the Federal University of Rio Grande do Norte in Brazil. There I worked with the SmartMetropolis research group for five years and could even present my research at two international conferences. I also had a great opportunity that my master's project on predictive policing was kindly supported by the Google LARA initiative (Latin America Research Awards) in 2018 and 2019. It definitely helped me to start enjoying my journey as a researcher. After my master's, I was a junior data scientist/engineer at the Public Ministry of Rio Grande do Norte. My role was to manage a team of data science interns, manage the data lake infrastructure, and develop dashboards that helped prosecutors and their assistants to unravel public budget complexities.

Organisations

Publications

2023

Automated coding of student chats, a trans-topic and language approach, Article 100123. de Araujo, A., Papadopoulos, P. M., McKenney, S. & Jong, T. d.https://doi.org/10.1016/j.caeai.2023.100123

2020

A Platform for Citizen Cooperation during the COVID-19 Pandemic in RN, BrazilIn 2020 IEEE International Smart Cities Conference (ISC2), Article 9239008. IEEE. Araujo, A. d., Garcia, I., Cacho, N., Nascimento, L. A. d., Rolim, D., Medeiros, J. A. d., Santana, S., Paiva, A. S., Lima, M., Ramos, T., Macedo, K., Pereira, J., Nascimento, J., Monteiro, L., Fernandes, M., Fernandes, N. & Lopes, F.https://doi.org/10.1109/isc251055.2020.9239008A Predictive Service for Highway Hotspot PolicingIn 2020 IEEE International Smart Cities Conference, ISC2 2020, Article 9239091. IEEE. Coelho, J. V. V., Silva, J. D. S., de Araujo, A., Cacho, N., Lopes, F. & Medeiros, J. A. D.https://doi.org/10.1109/ISC251055.2020.9239091Big Data Platform for Analysing Crime EvidencesIn 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService), Article 9179536 (pp. 113-119). IEEE. Do Valle, J. M., Souza, G., Fidelis, S., Araujo, A., Cacho, N., Silva, I., Budke, J., Sales, H., Filgueira, M. W., Lopes, F., Araujo, D. & Silva Junior, R.https://doi.org/10.1109/BigDataService49289.2020.00025A systematic review on spatial crime forecasting, Article 7. Kounadi, O., Ristea, A., Leitner, M. & Araujo Jr., A.https://doi.org/10.1186/s40163-020-00116-7Geographic Feature Engineering with Points-of-Interest from OpenStreetMapIn Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 116-123). SCITEPRESS. de Araujo, A., Valle, J. M. d. & Cacho, N.https://doi.org/10.5220/0010155101160123

Research profiles

Current projects

Conversational agents for collaborative science learning

In online science labs, where students interact with complex ideas experimentally, the use of chats during the activity can be particularly diverse, sometimes productive and engaging, but other times also unproductive and distracting. In this doctoral project, we will design a conversational agent to support productive talk among students when learning in Go-Lab. Some of the main challenges of this endeavor include addressing when to intervene and what to say. Furthermore, the agent configuration procedure is also a major issue, since it often requires an effort from the teacher for the interventions to work effectively. My project will explore solutions for these challenges by proposing a set of dialogue variables extracted using machine learning and natural language processing to feed a triggering mechanism. The experiments will include an assessment with real classrooms to answer the research questions presented.