INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue X October 2025
(Susan Curtis, 2002) in a study of 359 undergraduates at Manchester Metropolitan University, documented a
sharp rise in term-time employment. Their findings disclosed adverse academic consequences, including missed
lectures and students’ perceptions that their coursework grades were lower than they would have been without
working. However, the study also highlighted positive outcomes, such as skill development, business awareness,
and enhanced confidence, suggesting that employment may aid personal development despite its potential to
disrupt academic routines.
Similar conclusions were drawn by Lederman (2009), who emphasized the dual nature of student employment.
While part-time work can cultivate independence, responsibility, and time management skills, excessive working
hours were found to conflict with academic demands. In particular, students working longer hours experienced
reduced study time and higher stress levels. Conversely, moderate levels of employment did not necessarily
hinder academic performance and, in some cases, enhanced transferable skills beneficial for future careers.
The detrimental effects of student employment become especially evident when work commitments exceed 20
hours per week. (Gary R. Pike, 2008) reported that students working beyond this threshold, whether on- or off-
campus, showed declines in academic performance. (Watanabe, 2005) also found that extended working hours
reduced study time, delayed graduation, and increased the risk of burnout. These findings suggest a clear tipping
point, beyond which the negative academic consequences of employment outweigh potential benefits.
Despite these challenges, several studies highlight the positive outcomes of part-time employment. (Marcia
Devlin, Richard James, & Gabrielle Grigg, 2008)and (Tymon, 2011)observed that students gained valuable real-
world experience, financial independence, and personal growth from working during term-time. In addition,
(Susan Curtis, 2002) found that employment enhanced organizational abilities, built self-confidence, and
allowed students to apply academic learning in practical contexts. These findings indicate that, when work
commitments are balanced, employment can complement rather than hinder academic development.
Given these mixed outcomes, universities play a crucial role in supporting students who work while studying.
(Curtis, 2007) suggests that institutions should provide flexible schedules and enhanced support systems to help
students balance academic and employment responsibilities. However, most of the existing research has focused
on students in Western higher education contexts. Limited attention has been given to students in developing
countries, such as those enrolled in HNDIT and HNDA programs in Sri Lanka. Further research is needed to
examine how these students balance employment and academic commitments, and what institutional support
mechanisms might be most effective in addressing their unique challenges.
METHODOLOGY
This study employs a mixed-method approach, combining quantitative surveys with qualitative interviews, to
offer a comprehensive understanding of the challenges encountered and benefits experienced by first- and
second-year HNDIT and HNDA students at ATI,Gampaha.
To collect data, a questionnaire created using Google Forms was distributed via student WhatsApp groups,
aiming to gather quantitative and categorical information on students’ work-study dynamics. Additionally, to
gain deeper qualitative insights into individual experiences—particularly from high-performing students—a
face-to-face interview was conducted through a video call.
V Data Analaysis
The survey results reveal that the majority of students (60%) are engaged in office or administrative work,
making it the most common type of job among respondents. This preference is likely due to the accessibility of
such roles and their compatibility with academic schedules. Other types of employment reported include
teaching/tutoring, sales, IT, software development, hospitality (e.g., restaurants and hotels), electronic
companies, and audit firms, though these represent smaller proportions of the sample.
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