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Department of Computer Science, University of Brasília (UnB), P.O. Box 4466, Brasília–DF, Zip code 70910-900, Brazil

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3 Papers

Teaching Practice Using ChatGPT in Higher Education

Topics: Group Decision Support Systems; Software Engineering; Organisational Issues on Systems Integration

Authors: Edna Canedo ¹ , Angelica Calazans ² , Geovana Silva ¹ , Eloisa Masson ² and Fábio Mendonça ³

Affiliations: ¹ University of Brasília (UnB), Department of Computer Science, Brasília, Brazil , ² University Center of Brasília (UniCEUB), Brasília, DF, 70910-900, Brazil , ³ University of Brasília (UnB), Electrical Engineering Department, Brasília, DF, Brazil

Digital Object Identifier: 10.5220/0012725500003690

Proceedings of ICEIS 2024, ISBN: 978-989-758-692-7

Quick Abstract

ChatGPT is an Artificial Intelligence (AI) chatbot platform developed by OpenAI. Several studies have highlighted the advantages and disadvantages of integrating ChatGPT into teaching methodologies and knowledge generation within higher education. We conducted a survey involving 86 professors within the Computer Science field in Brazil. Our findings indicate that professors are utilizing ChatGPT for content generation and the creation of teaching materials, including practical exercises, slides, assignments, and tests. Moreover, they view ChatGPT as a potential facilitator of learning by fostering interaction between students and professors. In the realm of knowledge production, professors are leveraging ChatGPT for tasks such as aiding in the composition of research papers or articles and generating automatic summaries. However, as per the professors’ perceptions, a notable limitation of ChatGPT is its inability to provide bibliographic references for the content it delivers. Most professors believe that ChatGPT can be used as a support tool in higher education to generate knowledge. However, it is essential to address the challenges associated with the lack of bibliographic references in the content provided by ChatGPT.

Perception of Agile Teams About Home Office During the Covid-19

Topics: Software Engineering; Organisational Issues on Systems Integration; Agile Methodologies and Applications

Authors: Edna Canedo ¹ , Angelica Calazans ² , Geovana Silva ¹ , Isabel Brito ³ and Eloisa Masson ²

Affiliations: ¹ University of Brasília (UnB), Department of Computer Science, Brasília, Brazil , ² University Center of Brasília, UniCEUB, Brasília, DF, Zip-cod 70910-900, Brazil , ³ Polytechnic Institute of Beja, Beja, Portugal

Digital Object Identifier: 10.5220/0011961900003467

Proceedings of ICEIS 2023, ISBN: 978-989-758-648-4

Quick Abstract

Due to the COVID-19 pandemic, there was a massive migration from working in the office to working from home (WFH) and the software development teams had to adapt to the new reality. This paper focused on how the agile teams dealt with the challenges of WFH and how this affected the software development process. To capture the perceptions of the agile teams, we carried out a survey that investigated the following aspects of WFH: work routine, collaboration, communication, productivity, transparency, challenges, and the software development process itself. The survey received 127 valid responses from agile team members and the results revealed that i) most of the members of agile teams considered the work continued as usual regardless of the place (office or remote); ii) 80% of members of agile teams mentioned an increase in productivity during WFH; iii) 85% of participants are using Scrum as management strategy; iv) communication between teams members during the remote working model was perceived as more effective; v) Microsoft Teams and Google Meets were the most used interactions tools by members of agile teams.

Requirements Engineering Challenges and Techniques in Building Chatbots

Topics: Conversational Agents; Agent Oriented Software Engineering

Authors: Geovana R. S. Silva and Edna Dias Canedo

Affiliation: Department of Computer Science, University of Brasília (UnB), P.O. Box 4466, Brasília–DF, Zip code 70910-900, Brazil

Digital Object Identifier: 10.5220/0010801800003116

Proceedings of ICAART 2022, ISBN: 978-989-758-547-0

Quick Abstract

The proper execution of requirements engineering processes can be decisive for the success of software development and, for chatbots, it is no different. Chatbots have been gaining a lot of space, especially in customer service. Requirements engineering processes for chatbots are as hard to perform as for any other machine-learning system and the conversational nature makes it even harder. Taking this into consideration, in this work we survey chatbot practitioners to unveil the requirements elicitation and documentation techniques they have been using in the industry, besides the challenges they face while going through this process. Responses show that elicitation techniques are not much far from techniques used in other fields, but for documentation techniques that are new forms of documentation such as conversation flows. Moreover, meeting stakeholder’s requirements and managing information exchange are their biggest challenges in eliciting and documenting chatbot requirements.