Towards Emotionally Intelligent Software Engineers: Understanding Students' Self Perceptions After a Cooperative Learning Experience
This program is tentative and subject to change.
[Background] Emotional Intelligence (EI) can impact Software Engineering (SE) outcomes through improved team communication, conflict resolution, and stress management. SE workers face increasing pressure to develop both technical and interpersonal skills, as modern software development emphasizes collaborative work and complex team interactions. Despite EI’s documented importance in professional practice, SE education continues to prioritize technical knowledge over emotional and social competencies. [Objective] This paper analyzes SE students’ self-perceptions of their EI during a two-month cooperative learning project, using Mayer and Salovey’s four-ability model to examine how students handle emotions in collaborative development. [Method] We conducted a case study with 29 SE students organized into four squads within a project-based learning course, collecting data through questionnaires and focus groups that included brainwriting and sharing circles, then analyzing the data using descriptive statistics and open coding. [Results] Students demonstrated stronger abilities in managing their own emotions compared to interpreting others’ emotional states. Despite limited formal EI training, they developed informal strategies for emotional management, including structured planning and peer support networks, which they connected to improved productivity and conflict resolution. [Conclusion] This study shows how SE students perceive EI in a collaborative learning context and provides evidence-based insights into the important role of emotional competencies in SE education.
This program is tentative and subject to change.
Sun 27 AprDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | Software Teams (Agile, Teamwork and Collaboration) SessionResearch Track at 210 Chair(s): Klaas-Jan Stol Lero; University College Cork; SINTEF Digital | ||
11:00 10mTalk | Towards a Taxonomy for Autonomy in Large-Scale Agile Software Development Research Track Casper Lassenius Aalto University, Finland and Simula Metropolitan Center for Digital Engineering, Norway, Torgeir Dingsøyr Norwegian University of Science and Technology and SimulaMet | ||
11:10 10mTalk | Exploring Retrospective Meeting Practices and the Use of Data in Agile Teams Research Track Alessandra Maciel Paz Milani University of Victoria, Margaret-Anne Storey University of Victoria, Vivek Katial Multitudes, Lauren Peate Multitudes Pre-print | ||
11:20 15mTalk | The Role of the Retrospective Meetings in Detecting, Refactoring and Monitoring Community Smells Research Track Carlos Dantas Federal Institute of Rio Grande do Norte, Tiago Massoni Federal University of Campina Grande, Camila Sarmento Federal Institute of Piauí, Rayana Rocha Federal University of Campina Grande, Danielly Gualberto Federal University of Campina Grande Pre-print | ||
11:35 15mTalk | Hybrid Work in Agile Software Development: Recurring Meetings Research Track Emily Laue Christensen IT University of Copenhagen, Maria Paasivaara LUT University, Finland & Aalto University, Finland, Iflaah Salman Lappeenranta-Lahti University of Technology (LUT) | ||
11:50 15mTalk | A Cluster-based Approach for Emotion Recognition in Software Development Research Track Daniela Grassi University of Bari, Filippo Lanubile University of Bari, Alberta Motca-Schnabel University of Bari, Nicole Novielli University of Bari | ||
12:05 15mTalk | Towards Emotionally Intelligent Software Engineers: Understanding Students' Self Perceptions After a Cooperative Learning Experience Research Track Allysson Allex Araújo Federal University of Cariri, Marcos Kalinowski Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Matheus Paixao State University of Ceará, Daniel Graziotin University of Hohenheim |