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

Adelson de Araujo is a PhD candidate from the University of Twente. He received his MSc degree in computer science from the Federal University of Rio Grande do Norte, Brazil, where he specialized in developing machine learning applications for various domains. In his PhD, he developed and evaluated Clair, a collaborative conversational agent to foster productive student dialogue. Adelson's most recent research interests involve developing a new generation of conversational agents in education that can effectively deliver adaptive guidance to students in collaborative learning activities.

Organisations

Publications

2024

Could you elaborate more on what your partner just said? Guiding dialogue in science education using a conversational agent: Guiding dialogue in science education using a conversational agent (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Araujo, A.https://doi.org/10.3990/1.9789036563154A learning analytics-based collaborative conversational agent to foster productive dialogue in inquiry learning (2024)Journal of computer assisted learning, 40(6), 2700-2714. de Araujo, A., Papadopoulos, P. M., McKenney, S. & de Jong, T.https://doi.org/10.1111/jcal.13007EduCUI: The First International Workshop for Conversational User Interfaces in Education (2024)In Proceedings of the 6th Conference on ACM Conversational User Interfaces, CUI 2024. Article 63. Association for Computing Machinery. Edwards, J., De Araujo, A., Desai, S., De Wit, J., Candello, H., Rough, D. J., Clark, L., Roberts, A. S. & Cowan, B. R.https://doi.org/10.1145/3640794.3669997MAI-A Proactive Speech Agent for Metacognitive Mediation in Collaborative Learning (2024)In Proceedings of the 6th Conference on ACM Conversational User Interfaces, CUI 2024. Article 46. Association for Computing Machinery. Edwards, J., Nguyen, A., Sobocinski, M., Lämsä, J., De Araujo, A., Dang, B., Whitehead, R., Roberts, A. S., Kaarlela, M. & Jarvela, S.https://doi.org/10.1145/3640794.3665585Enhancing Student Dialogue Productivity with Learning Analytics and Fuzzy Rules (2024)In Artificial Intelligence in Education - 25th International Conference, AIED 2024, Proceedings (pp. 397-404) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14830 LNAI). Springer. de Araujo, A., Martens, J. & Papadopoulos, P. M.https://doi.org/10.1007/978-3-031-64299-9_36

2023

Automated coding of student chats, a trans-topic and language approach (2023)Computers and Education: Artificial Intelligence, 4. Article 100123. de Araujo, A., Papadopoulos, P. M., McKenney, S. & Jong, T. d.https://doi.org/10.1016/j.caeai.2023.100123Supporting Collaborative Online Science Education with a Transferable and Configurable Conversational Agent (2023)In Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023 (pp. 416-419) (Computer-Supported Collaborative Learning Conference, CSCL; Vol. 2023-June). International Society of the Learning Sciences (ISLS). Araujo, A. D., Papadopoulos, P. M., McKenney, S. & Jong, T. D.https://doi.org/10.22318/cscl2023.469853

2020

A Platform for Citizen Cooperation during the COVID-19 Pandemic in RN, Brazil (2020)In 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 Policing (2020)In 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 Evidences (2020)In 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService) (pp. 113-119). Article 9179536. 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/BigDataService49289.2020.00025

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.