INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)  
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025  
Determinants of Academic Performance Among Computer  
Engineering Students with Disabilities in Bulacan State University  
Dr. Monaliza S. Jimenez, Angelo Evangelista, Erick Nito  
Bulacan State University  
Received: 10 November 2025; Accepted: 20 November 2025; Published: 03 December 2025  
ABSTRACT  
This study examines the factors affecting the academic performance of students with disabilities pursuing  
Computer Engineering. Using a quantitative descriptive design, data were gathered from 30 respondents (15  
with disabilities and 15 without) through a structured survey employing a 5‑point Likert scale. The study  
evaluated three major factors: Assistive Technology, Faculty and Teaching Facilities, and Discrimination and  
Societal Barriers. Instrument reliability yielded a Cronbach’s alpha of 0.89, indicating high internal  
consistency. Findings show that inclusive learning environments, availability of assistive technologies, and  
societal attitudes significantly influence the academic performance and motivation of students with disabilities.  
Recommendations include improving classroom accessibility, strengthening faculty training, and integrating  
appropriate assistive technologies to foster an inclusive learning environment.  
Keywords: assistive technology, inclusivity, disability, academic performance  
INTRODUCTION  
In recent years, there has been a growing global emphasis on inclusive education, particularly in promoting  
equitable access and meaningful participation for students with disabilities. Although progress has been made,  
many higher education institutions still face persistent challenges in creating learning environments that fully  
support the academic and social needs of these learners. These challenges are even more pronounced in  
specialized fields such as Computer Engineering, where the curriculum requires complex technical  
competencies, extensive laboratory work, and the use of advanced technologies. Accessibility issues tend to  
become more visible in these settings.  
According to Laudan and Pamela (2012), the Philippines has initiated policy and infrastructural improvements  
to enhance educational accessibility, yet the system continues to fall short in meeting the diverse needs of  
learners with disabilities. Financial constraints, inadequate identification of student needs, and restrictive  
curricula limit full participation in academic activities. In higher education, these challenges appear through  
inaccessible classrooms, limited assistive technologies, insufficient faculty training in inclusive teaching  
practices, and societal attitudes that reinforce stigma.  
Disabilities can greatly influence students’ learning processes and social interactions in the university setting.  
When barriers such as inaccessible facilities, the absence of necessary assistive equipment, or a lack of trained  
personnel are present, students may struggle to engage in coursework, join collaborative activities, or interact  
with peers. These barriers can lead to decreased confidence, increased stress, reduced academic performance,  
and a higher likelihood of withdrawal from the program.  
In response to these concerns, this study seeks to examine the factors that affect the academic performance of  
students with disabilities who are pursuing a Computer Engineering degree at Bulacan State University. The  
study explores how disabilities influence learning experiences, academic outcomes, and social interactions, as  
well as how students with and without disabilities perceive assistive technologies, faculty support, and  
classroom accessibility.  
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INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)  
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025  
By investigating these areas, the study aims to identify existing gaps and recommend strategies that will help  
build a more inclusive and accessible learning environment. The ultimate goal is to support ongoing efforts to  
promote equity in higher education and to ensure that students with disabilities can succeed academically and  
socially, particularly in demanding and highly technical disciplines such as Computer  
Research Objectives  
This study aimed to determine the factors influencing the academic performance of Computer Engineering  
students with disabilities at Bulacan State University. Specifically, it sought to:  
1. Assess the extent to which assistive technologies influence academic performance.  
2. Determine how faculty support and teaching facilities affect learning experiences.  
3. Examine the impact of discrimination and societal barriers on student motivation and academic outcomes.  
Engineering.  
METHODS  
This section presents the methodological approach employed to examine the factors influencing the academic  
performance of students with disabilities. It details the research design, sampling procedure, data collection  
instrument, and analytical techniques used to generate credible and systematic results.  
Research Design  
A quantitative descriptive research design was employed to analyze the perceptions of students with and  
without disabilities regarding factors influencing academic performance. The design allowed for systematic  
measurement of attitudes and experiences related to assistive technology, faculty support, and societal barriers.  
Sampling Technique and Respondents  
Purposive sampling was used to select participants based on their relevance to the research objectives. The  
sample consisted of 30 respondents:  
15 Computer Engineering students with disabilities, and  
15 students without disabilities enrolled at Bulacan State University and comparable institutions offering  
the same program.  
Purposive sampling ensured that participants possessed characteristics necessary to provide meaningful  
insights into the study variables.  
Instrument  
Data were collected using a structured online survey divided into three sections:  
1. Assistive Technology Factors  
2. Faculty and Teaching Personnel Factors  
3. Discrimination and Societal Factors  
A 5-point Likert scale measured the level of agreement with each statement. The instrument underwent expert  
validation, and a Cronbach’s alpha of 0.89 confirmed high reliability and internal consistency.  
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INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)  
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025  
Procedure  
The survey was administered through Google Forms. Respondents provided informed consent and were  
assured of anonymity and data confidentiality. Completed questionnaires were encoded and organized for  
statistical analysis.  
Data Analysis  
Descriptive statisticsincluding frequency distribution, weighted mean, and rankingwere employed to  
summarize responses and identify patterns. Results reflect respondents’ perceptions of the determinants  
affecting academic performance.  
RESULTS  
Findings indicate that both students with and without disabilities recognize the significant influence of  
assistive technology, inclusive learning environments, and societal attitudes on academic outcomes.  
Accessibility and Infrastructure  
Respondents reported several accessibility challenges, including:  
Absence of ramps and elevators  
Limited adjustable furniture in laboratories  
Insufficient assistive devices (screen readers, speech-to-text tools, mobility aids)  
Such barriers hinder participation in laboratory tasks and group workcore components of Computer  
Engineering.  
Faculty Support and Teaching Practices  
Respondents believed that instructors play an essential role in facilitating learning for students with  
disabilities. However:  
Many faculty members lack training in inclusive teaching practices  
Few are familiar with assistive technologies  
Instructional approaches are often not adaptive to diverse needs  
Societal Attitudes and Social Barriers  
Students with disabilities reported experiencing:  
Misconceptions about their abilities  
Subtle forms of discrimination  
Feelings of exclusion during collaborative tasks  
These social barriers were associated with reduced academic motivation and engagement.  
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INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)  
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025  
Summary of Quantitative Findings  
Table 1. Summary of Weighted Mean Scores for Key Variables  
Variables  
Weighted Mean  
Interpretation  
Learning Environment Inclusivity  
Academic Performance of Students with Disabilities  
1.9  
3.5  
Not Inclusive  
Moderately High Influence  
Presence of Societal Barriers  
3.7  
High Presence of Barriers  
Table 1 shows a clear pattern across the three variables examined. Learning environment inclusivity received a  
weighted mean of 1.9, interpreted as “Not Inclusive,” indicating that students—particularly those with  
disabilitiesperceive classrooms and laboratories as lacking the necessary structural and instructional  
accommodations, such as assistive devices, adjustable furniture, and accessible facilities. Academic  
performance of students with disabilities obtained a weighted mean of 3.5 or “Moderately High Influence,”  
suggesting that while many students can adapt, their performance remains significantly affected by the  
availability of support, instructional strategies, technology access, and faculty preparedness. Meanwhile,  
societal barriers registered the highest weighted mean at 3.7, reflecting a “High Presence of Barriers,” with  
students reporting strong experiences of stigma, misconceptions, and subtle discrimination that negatively  
impact motivation and participation. Overall, the results show that environmental, academic, and societal  
factors jointly shape the experiences of students with disabilities, with societal attitudes emerging as the most  
pressing concern, thereby underscoring the need for improvements in accessibility, instructional support, and  
institutional culture.  
DISCUSSION  
The findings align with global literature emphasizing the significance of assistive technology and inclusive  
learning environments in promoting academic success among students with disabilities. Consistent with  
Rosner and Perlman (2018), results confirm that assistive devices enhance functioning and participation, yet  
availability remains limited.  
Structural barriers in facilities echo observations by Laudan and Saavedra (2012) regarding the Philippines’  
incomplete implementation of inclusive education mandates. Respondents’ concerns also affirm Dyer’s (2018)  
assessment of ongoing challenges in accommodating diverse learners in higher education.  
Faculty competence emerged as a central issue, supporting the findings of Bong and Chen (2021), who  
highlight the need for digital accessibility training among educators. Inclusive pedagogy and awareness of  
student needs are essential for improving academic outcomes.  
The study’s scope is limited by its small sample size and focus on a single institution. Future research should  
involve multiple institutions and investigate long-term effects of assistive technology interventions.  
CONCLUSION  
Technology, learning environments, and societal factors significantly shape the academic performance of  
Computer Engineering students with disabilities. The results reveal notable gaps in accessibility, faculty  
preparation, and social inclusion. Addressing these areas is necessary to support equitable participation and  
enhance academic outcomes.  
REVISED RECOMMENDATIONS  
1. The institution should strengthen the availability and implementation of assistive technologies to support  
students with disabilities. These tools can enhance engagement, improve task performance, and allow  
monitoring of student progress with and without technological support.  
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INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)  
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025  
2. The university should improve classroom and laboratory accessibility by providing ramps, adjustable  
furniture, and other necessary modifications. Creating inclusive spaces will allow students with disabilities  
to participate more effectively in academic activities.  
3. Faculty members should be provided with sustained training on inclusive teaching practices and the  
appropriate use of assistive technologies. Increasing faculty competence will ensure that instructional  
strategies address the diverse needs of learners.  
4. The institution should implement programs that reduce stigma and promote understanding of the  
experiences of students with disabilities. Establishing a safe and supportive social environment can help  
mitigate discriminatory attitudes and improve student motivation.  
5. Future research should involve larger and more diverse samples to obtain a broader perspective on the  
academic experiences of students with disabilities. Studies may also examine long term outcomes of  
assistive technology use to establish stronger evidence for the effectiveness of these tools.  
REFERENCES  
1. Bong, M., & Chen, L. (2021). Increasing faculty competence in digital accessibility for inclusive  
education: A systematic review. Educational Review, 73(6), 735754.  
2. Dyer, S. (2018). Disabilities in higher education: Challenges and support strategies. Journal of College  
Student Development, 59(4), 453467. https://doi.org/10.1353/csd.2018.0042  
3. Ladner, A., & Burgstahler, S. (2007). Increasing the participation of individuals with disabilities in  
STEM fields: Barriers and supports. Journal of Science Education and Technology, 16(3), 231238.  
4. Laudan, R., & Saavedra, P. (2012). Educational challenges for students with disabilities in the  
Philippines.Philippine Journal of Education, 94(2), 122135.  
(Note: This article appears in libraries and local databases; the authors’ full names corrected to match  
index listings.)  
5. Lomellini, P., Sarpong, T., & Johnson, K. (2022). Accessibility in online learning during the COVID-19  
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6. Mantey, F. E. (2014). Accessibility to inclusive education for children with disabilities: A case study of  
two districts in Ghana. International Journal of Special Education, 29(3), 5668.*  
(Corrected authorship: Only one author is listed in the actual publication.)  
7. Rosner, J., & Perlman, D. (2018). The effect of computer-based assistive devices on the functioning and  
quality of life of individuals with visual impairments. Disability and Rehabilitation: Assistive  
8. Roehl, J. E. (Ed.). (1983). Computers for the disabled: Proceedings of the Discovery ’83 Conference.  
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