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Using a chatbot for student onboarding and learning in projects: technology as an enabler of active learning

  • Erik T. Lopes
  • , Yasmim Bezerra Oliveira Altoé
  • , Pedro Gonçalves Prazeres
  • , Luiza Oliveira de Araujo
  • , Simone Borges Simão Monteiro
  • , Diana Mesquita
  • , Jens Myrup Pedersen
  • , Rui M. Lima

Research output: Contribution to journalConference articlepeer-review

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Abstract

Using technologies as enablers of active learning methodologies is a recurring topic in the scientific literature. Various tools have been developed and applied in engineering education, yielding promising results. The rapid development and widespread adoption of generative artificial intelligence (AI) language models have recently sparked discussions on their use, regulation, and evaluation in the teaching and learning process. Chatbots represent a relevant application, offering opportunities such as enhancing the learning process, providing rapid and personalised access to knowledge, and enabling iterative support that benefits students. Additionally, chatbots can be applied in administrative and support activities, potentially reducing faculty workload, which is one of the challenges in adopting active learning approaches. Given this, this article presents a method for developing a chatbot using low-code tools to accelerate the onboarding process for the Erasmus+ Egalitarian project, which focuses on solid waste management and waste pickers. Organised into iterative cycles, this project has already engaged students of various nationalities, addressing challenges related to initial problem contextualisation, knowledge management, and the diverse concepts and tools adopted. Thus, students and faculty members who participated in the first three cycles of the project evaluated the developed tool, highlighting strengths and areas for improvement and comparing their experiences with and without the chatbot. The results indicate the feasibility of chatbot development without requiring programming skills, the potential of generative AI to provide fast and direct access to knowledge, and an improved experience for participants in projects involving active learning. Finally, this tool enables gradual and iterative training throughout the project cycles, reducing the effort required from faculty members and experienced students in the onboarding process in each new cycle.
Original languageEnglish
Pages (from-to)513-520
Number of pages8
JournalInternational Symposium on Project Approaches in Engineering Education
Volume15
DOIs
Publication statusPublished - 2025
Event17th International Symposium on Project Approaches in Engineering Education, PAEE 2025 and 22nd Active Learning in Engineering Education Workshop, ALE 2025 - Porto, Portugal
Duration: 25 Jun 202527 Jun 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Active learning
  • Chat bot
  • Engineering education
  • Project management
  • Project onboarding

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