TY - GEN
T1 - ASSESSING STUDENT PERFORMANCE IN TUTORED VS NON-TUTORED MODULES
T2 - 53rd Annual Conference of the European Society for Engineering Education, SEFI 2025
AU - Bakama, E. M.
AU - Simpson, Z.
N1 - Publisher Copyright:
© SEFI 2025.All rights reserved.
PY - 2025
Y1 - 2025
N2 - This study examines the impact of tutoring on student performance by comparing pass rates in tutored and non-tutored modules within the Faculty of Engineering and the Built Environment at University X from 2021 to 2023. Using a quantitative research approach, data on pass rates, enrolment numbers, and tutorial sessions were collected and analysed through descriptive statistics, with findings presented using tables and graphs. Results consistently indicate that modules with tutors outperform those without, with pass rate gaps ranging from 18 to 23 percentage points over the study period. Notably, departments such as Mechanical Engineering Science (MES), Urban and Regional Planning (URP), and Metallurgy (METAL) exhibited the most significant improvements in tutored modules. While pass rates in non-tutored modules showed slight improvement over time, they remained consistently lower than those with tutor support, underscoring the effectiveness of tutoring interventions. Despite these findings, the study acknowledges that multiple factors, including module complexity, lecturer consultation, and student engagement influence pass rates. Although the data suggest a strong correlation between tutoring and improved student performance, further research is recommended to explore individual module performance, student attendance, and teaching methodologies to understand the interplay of additional variables better. These findings emphasise the need for continued investment in tutoring programs, particularly for at-risk students, while also considering complementary academic support strategies to further enhance student success in engineering education.
AB - This study examines the impact of tutoring on student performance by comparing pass rates in tutored and non-tutored modules within the Faculty of Engineering and the Built Environment at University X from 2021 to 2023. Using a quantitative research approach, data on pass rates, enrolment numbers, and tutorial sessions were collected and analysed through descriptive statistics, with findings presented using tables and graphs. Results consistently indicate that modules with tutors outperform those without, with pass rate gaps ranging from 18 to 23 percentage points over the study period. Notably, departments such as Mechanical Engineering Science (MES), Urban and Regional Planning (URP), and Metallurgy (METAL) exhibited the most significant improvements in tutored modules. While pass rates in non-tutored modules showed slight improvement over time, they remained consistently lower than those with tutor support, underscoring the effectiveness of tutoring interventions. Despite these findings, the study acknowledges that multiple factors, including module complexity, lecturer consultation, and student engagement influence pass rates. Although the data suggest a strong correlation between tutoring and improved student performance, further research is recommended to explore individual module performance, student attendance, and teaching methodologies to understand the interplay of additional variables better. These findings emphasise the need for continued investment in tutoring programs, particularly for at-risk students, while also considering complementary academic support strategies to further enhance student success in engineering education.
KW - Academic Support Strategies
KW - Engineering Education
KW - Student Performance Analysis
KW - Tutoring
UR - https://www.scopus.com/pages/publications/105031606648
U2 - 10.5281/zenodo.17631750
DO - 10.5281/zenodo.17631750
M3 - Conference contribution
AN - SCOPUS:105031606648
T3 - SEFI 2025 - 53rd Annual Conference of the European Society for Engineering Education: Engineering and Society, Proceedings
SP - 120
EP - 129
BT - SEFI 2025 - 53rd Annual Conference of the European Society for Engineering Education
A2 - Kangaslampi, Riikka
A2 - Langie, Greet
A2 - J�rvinen, Hannu-Matti
A2 - Nagy, Bal�zs
PB - European Society for Engineering Education (SEFI)
Y2 - 15 September 2025 through 18 September 2025
ER -