TY - GEN
T1 - Soft Skills as Predictors of Success in Software Engineering Through Analysis of Confidence, Adaptability and Time Management
AU - Ishmael, Ontiretse
AU - Kiely, Etain
AU - Healy, John
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/6/1
Y1 - 2025/6/1
N2 - While successful software engineering students must demonstrate robust technical skills, the ability to acquire and master soft skills is just as crucial to their long-term professional success. These abilities are essential as they compliment technical expertise. Currently, research on soft skills primarily focuses on areas such as communication, teamwork and leadership. However, there is limited research exploring how confidence, adaptability and time management correlate with academic performance and contribute to building better prepared students for the job market. Time management, adaptation and building confidence are crucial non-technical abilities that allow software engineering students to succeed in a holistic way in academia and in their careers. In addition, the belief of a student in their own abilities to accomplish tasks and understand the concepts or modules learning outcomes presented to them forms the foundation of their growth. This study investigated whether soft skills such as confidence, adaptation and time management can be a predictor of success for software engineering students. The analysis of student self-reported data identified four principal clusters: high achievers (46.4%), mid-high performers (33.3%), mid-performers (13%) and developing performers (7.2%). Performance indicators suggest high reliability in grade prediction with an R2 value of 0.837 indicating that approximately 83.7% of the variance in student grades can be explained by the model results. Furthermore, an RMSE of 3.63 indicates that predictions deviate by less than 4 points on a 100 point scale. A standard deviation of RMSE (0.98) suggests consistent prediction accuracy across different student data. This study shows that software engineering curricula should also focus on equipping students with not only cutting edge technological tools and technical skills but also the most effective approaches to education by incorporating these soft skills.
AB - While successful software engineering students must demonstrate robust technical skills, the ability to acquire and master soft skills is just as crucial to their long-term professional success. These abilities are essential as they compliment technical expertise. Currently, research on soft skills primarily focuses on areas such as communication, teamwork and leadership. However, there is limited research exploring how confidence, adaptability and time management correlate with academic performance and contribute to building better prepared students for the job market. Time management, adaptation and building confidence are crucial non-technical abilities that allow software engineering students to succeed in a holistic way in academia and in their careers. In addition, the belief of a student in their own abilities to accomplish tasks and understand the concepts or modules learning outcomes presented to them forms the foundation of their growth. This study investigated whether soft skills such as confidence, adaptation and time management can be a predictor of success for software engineering students. The analysis of student self-reported data identified four principal clusters: high achievers (46.4%), mid-high performers (33.3%), mid-performers (13%) and developing performers (7.2%). Performance indicators suggest high reliability in grade prediction with an R2 value of 0.837 indicating that approximately 83.7% of the variance in student grades can be explained by the model results. Furthermore, an RMSE of 3.63 indicates that predictions deviate by less than 4 points on a 100 point scale. A standard deviation of RMSE (0.98) suggests consistent prediction accuracy across different student data. This study shows that software engineering curricula should also focus on equipping students with not only cutting edge technological tools and technical skills but also the most effective approaches to education by incorporating these soft skills.
KW - adaptability
KW - confidence
KW - soft skills
KW - students
KW - time management
UR - https://www.scopus.com/pages/publications/105008421080
U2 - 10.1145/3723010.3723025
DO - 10.1145/3723010.3723025
M3 - Conference contribution
AN - SCOPUS:105008421080
T3 - Proceedings of the 6th ECSEE 2025 - European Conference on Software Engineering Education
SP - 200
EP - 209
BT - Proceedings of the 6th ECSEE 2025 - European Conference on Software Engineering Education
PB - Association for Computing Machinery, Inc
T2 - 6th European Conference on Software Engineering Education, ECSEE 2025
Y2 - 2 June 2025 through 4 June 2025
ER -