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Students’ Inclination from Pure Sciences to Computer Science: An Exploratory Cross-sectional Study

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Students' academic preferences have changed a lot in the past few years. They are more interested in computer science (CS) as compared to pure sciences. This study aims to investigate the motives behind this shift among Intermediate-level students. A five-point Likert scale was used to conduct a cross-sectional, questionnaire-based survey. Response of 1,231 participants, including teachers and students from 11th and 12th grades was recorded. Descriptive statistics, including the mean and standard deviation, were calculated. T-test and ANOVA test were applied to measure the statistical significance difference among different groups. The significance of the results was compared using p-value (p = 0.05). The results reveal that students perceive that pure sciences are hard to understand with limited old lab equipment and provide few job opportunities. On the other hand, computer science was strongly linked to better job prospects, higher pay, job security, and being useful for modern technology. Students' preference for technology-based education was also strengthened by schools' focus on computer science programs, government policies that encourage digital skills. Parents' influence and students’ own exposure to social media and digital environments further strengthen their interest to CS. Results also indicate that there is statistical significance difference between teachers and students, especially when it came to career goals and how schools set priorities. This study concludes that; the inclination from pure sciences to CS is more due to structural and socioeconomic factors than a lack of interest in science. To keep both sciences in line, we need to make science education more modern, make career paths clearer, and fair educational policies. References Ahmad, R., Hussain, S., Rumi, S., Jabeen, S., & Ruqia, B. (2025). Laboratory Teaching and Challenges: A Study of Secondary Schools in District Chitral. International Journal of Social Science Archives (IJSSA), 8(3). https://ijssa.com/index.php/ijssa/article/view/61 Anh, H. T. P., Huong, X. V., & Chau, D. N. (2024). Evaluating the influence of incorporating computer science, materials science, and design in mechanical and electrical electronics education through interdisciplinary approaches. The American Journal of Interdisciplinary Innovations and Research, 6(03), 25-36. https://doi.org/10.37547/tajiir/Volume06Issue03-04 Archer, L., DeWitt, J., Osborne, J., Dillon, J., Willis, B., & Wong, B. (2012). Science aspirations, capital, and family habitus: How families shape children’s engagement and identification with science. American educational research journal, 49(5), 881-908. https://www.jstor.org/stable/23319630 Ayasrah, F. T. M., Alarabi, K., Al Mansouri, M., Fattah, H. A. A., & Al-Said, K. (2024). Enhancing secondary school students' attitudes toward physics by using computer simulations. International journal of data and network science, 8(1), 369-380. https://doi.org/10.5267/j.ijdns.2023.9.017 Bayona, D. (2024). Peer Instruction as a Transformative Approach for Enhanced Academic Performance in General Physics 1. Journal of Interdisciplinary Perspectives, 2(11), 343-352. https://doi.org/10.69569/jip.2024.0447 Bevizova, K., Falougy, H. E., Thurzo, A., & Harsanyi, S. (2024). Is virtual reality enhancing dental anatomy education? A systematic review and meta-analysis. BMC Medical Education, 24(1), 1395. https://doi.org/10.1186/s12909-024-06233-0 Beye, A., & Woods, A. (2024). Promoting Deep Learning In First-Year Physiology Through Structured In-class Activities: Building a Bridge for Success. Physiology, 39(S1), 2356. https://doi.org/10.1152/physiol.2024.39.S1.2356 Briscoe, J., Franklin, C. E., Gorelick, D. A., Patton, E. E., & Way, M. (2025). Science under siege: protecting scientific progress in turbulent times,  Biology Open, 14(3).  https://doi.org/10.1242/bio.061972 Bukhari, S. T., Rafiq-uz-Zaman, M., & Bano, S. (2025). Analysing the Impact of Education Policies and Their Implementation on the School Education System in Punjab, Pakistan. Inverge Journal of Social Sciences, 4(1), 98-110. doi: https://doi.org/10.63544/ijss.v4i1.136 Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual review of psychology, 53(1), 109-132. https://psycnet.apa.org/doi/10.1146/annurev.psych.53.100901.135153 Fernández, A., Gómez, B., Binjaku, K., & Meçe, E. K. (2023). Digital transformation initiatives in higher education institutions: A multivocal literature review. Education and information technologies, 28(10), 12351-12382. https://doi.org/10.1007/s10639-022-11544-0 Gouvea, J. S. (2023). Integrating Computation into Science Education. CBE Life Sci Educ, 22(3), fe2. doi: 10.1187/cbe.23-05-0093. https://www.lifescied.org/doi/pdf/10.1187/cbe.23-05-0093 Haider, M. H., Majeed, M. A., & Irfan, M. (2025). Needs of Digital Literacy in the Era of Artificial Intelligence: A Comprehensive Review. Inverge Journal of Social Sciences, 4(4), 396-409. doi: https://doi.org/10.63544/ijss.v4i4.214 Hunt, W., Baldauf, B., & Lyonette, C. (2025). Horses for courses: subject differences in the chances of securing different types of graduate jobs in the UK. Journal of Social Policy, 54(1), 228-248. https://doi.org/10.1017/S0047279423000041 Hussain, Y., Rahman, N., Hussain, S., & Hussain, M. (2024). Factors affecting students’ career choices at higher secondary school leveL. International Journal of Contemporary Issues in Social Sciences, 3(1), 304-316. http://norr.numl.edu.pk/repository/filedownload/1572 Itzek-Greulich, H., Flunger, B., Vollmer, C., Nagengast, B., Rehm, M., & Trautwein, U. (2015). Effects of a science center outreach lab on school students' achievement – Are student lab visits needed when they teach what students can learn at school? Learning and Instruction, 38, 43-52. doi: https://doi.org/10.1016/j.learninstruc.2015.03.003 Kalhor, G., & Bahrak, B. (2023). Forecasting Success of Computer Science Professors and Students Based on Their Academic and Personal Backgrounds. arXiv preprint arXiv:2311.02476. https://doi.org/10.48550/arXiv.2311.02476 Karim Ragab , E. M.-J., Elvira Fernandez-Ahumada (2025). Students’ perceptions of the impact of interactive technology on engagement in STEM classes. Contemporary Educational Technology, 14(7), ep602. doi: https://doi.org/10.30935/cedtech/17408 Khan, S., Shiraz, M., Shah, G., & Muzamil, M. (2023). Understanding the factors contributing to low enrollment of science students in undergraduate programs. Cogent Education, 10 (2). https://doi.org/10.1080/2331186X.2023.2277032 Li, F., Zhang, D., Wu, S., Zhou, R., Dong, C., & Zhang, J. (2023). Positive effects of online games on the growth of college students: A qualitative study from China. Frontiers in psychology, 14, 1008211. https://doi.org/10.3389/fpsyg.2023.1008211 López, P., Simó, P., & Marco, J. (2023). Understanding STEM career choices: A systematic mapping. Heliyon, 9(6). https://doi.org/10.1016/j.heliyon.2023.e16676 Naz, A., & Hussain, S. (2025). The Impact of Technology Integration on Student Engagement and Academic Achievement in Secondary Education: A Case Study of Schools in Multan City. Al-Aijaz Research Journal of Islamic Studies & Humanities, 9(1), 289-295. https://www.arjish.com/index.php/arjish/article/view/811 Qayyum, A., Sadiqi, T., & Abbas, M. A. (2024). Integrating artificial intelligence into early childhood education policy in Pakistan: Challenges, opportunities, and recommendations. Journal of Development and Social Sciences, 5(4), 416-431. https://doi.org/10.47205/jdss.2024(5-IV)36 Rafiq-uz-Zaman, M. (2023). The Impact of Digital Literacy on Students’ Learning Outcomes: A Comprehensive Review. Inverge Journal of Social Sciences, 2(2), 194-205. doi: https://doi.org/10.63544/ijss.v2i2.210 Rashid, A., Rashid, M., Gul, U., & Qamer, N. (2024). The COVID-19’s Legacy in Pakistan’s Higher Secondary Education: A Cross-sectional Study. Pakistan Journal of Social Sciences, 44(4), 549-560. doi: https://doi.org/10.5281/zenodo.14178555 Rashid, M., Fatima, M., Azmat, M., & Mahmood, T. (2025). Early Childhood Education in Punjab, Pakistan: Navigating Challenges and Exploring Solutions–A Narrative Review. The Critical Review of Social Sciences Studies, 3(1), 2214-2228. doi: https://doi.org/10.59075/79fbb084 Rashid, M., Rashid, A., Azmat, M., & Khorshid, F. (2025). Analyzing the causes of low enrollment in public intermediate institutions in Punjab, Pakistan. The Critical Review of Social Sciences Studies, 3(1), 31-45. doi: https://doi.org/10.59075/2tqb2v90 Shafiq, M., Sami, M. A., Bano, N., Bano, R., & Rashid, M. (2025). Artificial intelligence in physics education: Transforming learning from primary to university level. Indus Journal of Social Sciences, 3(1), 717-733. doi: https://doi.org/10.59075/ijss.v3i1.807 Shah, S. W., Riffat, Q., Ghafar, A., & Kazmi, S. A. R. (2018). Student Preference for Opting Biology and Computer Science at Secondary Level. Education Journal, 7(6), 179-189. DOI: 10.11648/j.edu.20180706.15 Soleymani, A., Aerts, T., De Laat, M., & Specht, M. (2024). Gamified Networked Learning Environments in Higher Education: A Study on Student Engagement and Value Creation in Computer Science. European Conference on Games-based Learning. https://doi.org/10.34190/ecgbl.18.1.2660 Stevens, C., Anderson, S., & Carlson, A. (2024). Integrating High Performance Computing into Higher Education and the Pedagogy of Cluster Computing. Practice and Experience in Advanced Research Computing 2024: Human Powered Computing (pp. 1-3). https://dl.acm.org/doi/10.1145/3626203.3670588 Subasman, I., & Aliyyah, R. R. (2023). The impact of technological transformation on career choices in the STEM sector. Jurnal Kajian Pendidikan dan Psikologi, 1(2), 129-142. https://doi.org/10.61397/jkpp.v1i2.94 Tabassum, S., Aslam, M. O., & Abbas, Q. (2025). Effects of Social Media Platforms on the Academic Motivation, Research Skills and Academic Performance of University Students. The Knowledge, 4(4), 52-59. https://doi.org/10.55737/tk/2k25d.44104 Tai, R. H., Qi Liu, C., Maltese, A. V., & Fan, X. (2006). Planning early for careers in science. Science, 312(5777), 1143-1144. https://doi.org/10.1126/science.1128690 Wang, M. T., & Degol, J. (2013). Motivational Pathways to STEM Career Choices: Using Expectancy-Value Perspective to Understand Individual and Gender Differences in STEM Fields. Dev Rev, 33(4). doi: 10.1016/j.dr.2013.08.001 Yaseen, M., Andleeb, S., Ullah, N., & Zafar, J. M. (2025). Impact of Information and Communication Technologies (ICTs) on Students’ Higher-Order Learning Skills at Secondary School Level. The Knowledge, 4(2), 9-19. https://doi.org/10.63062/tk/2k25b.42047 Zhou, Y., & Shirazi, S. (2025). Factors influencing young people’s STEM career aspirations and career choices: A systematic literature review. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-025-10552-z
Title: Students’ Inclination from Pure Sciences to Computer Science: An Exploratory Cross-sectional Study
Description:
Students' academic preferences have changed a lot in the past few years.
They are more interested in computer science (CS) as compared to pure sciences.
This study aims to investigate the motives behind this shift among Intermediate-level students.
A five-point Likert scale was used to conduct a cross-sectional, questionnaire-based survey.
Response of 1,231 participants, including teachers and students from 11th and 12th grades was recorded.
Descriptive statistics, including the mean and standard deviation, were calculated.
T-test and ANOVA test were applied to measure the statistical significance difference among different groups.
The significance of the results was compared using p-value (p = 0.
05).
The results reveal that students perceive that pure sciences are hard to understand with limited old lab equipment and provide few job opportunities.
On the other hand, computer science was strongly linked to better job prospects, higher pay, job security, and being useful for modern technology.
Students' preference for technology-based education was also strengthened by schools' focus on computer science programs, government policies that encourage digital skills.
Parents' influence and students’ own exposure to social media and digital environments further strengthen their interest to CS.
Results also indicate that there is statistical significance difference between teachers and students, especially when it came to career goals and how schools set priorities.
This study concludes that; the inclination from pure sciences to CS is more due to structural and socioeconomic factors than a lack of interest in science.
To keep both sciences in line, we need to make science education more modern, make career paths clearer, and fair educational policies.
References Ahmad, R.
, Hussain, S.
, Rumi, S.
, Jabeen, S.
, & Ruqia, B.
(2025).
Laboratory Teaching and Challenges: A Study of Secondary Schools in District Chitral.
International Journal of Social Science Archives (IJSSA), 8(3).
https://ijssa.
com/index.
php/ijssa/article/view/61 Anh, H.
T.
P.
, Huong, X.
V.
, & Chau, D.
N.
(2024).
Evaluating the influence of incorporating computer science, materials science, and design in mechanical and electrical electronics education through interdisciplinary approaches.
The American Journal of Interdisciplinary Innovations and Research, 6(03), 25-36.
https://doi.
org/10.
37547/tajiir/Volume06Issue03-04 Archer, L.
, DeWitt, J.
, Osborne, J.
, Dillon, J.
, Willis, B.
, & Wong, B.
(2012).
Science aspirations, capital, and family habitus: How families shape children’s engagement and identification with science.
American educational research journal, 49(5), 881-908.
https://www.
jstor.
org/stable/23319630 Ayasrah, F.
T.
M.
, Alarabi, K.
, Al Mansouri, M.
, Fattah, H.
A.
A.
, & Al-Said, K.
(2024).
Enhancing secondary school students' attitudes toward physics by using computer simulations.
International journal of data and network science, 8(1), 369-380.
https://doi.
org/10.
5267/j.
ijdns.
2023.
9.
017 Bayona, D.
(2024).
Peer Instruction as a Transformative Approach for Enhanced Academic Performance in General Physics 1.
Journal of Interdisciplinary Perspectives, 2(11), 343-352.
https://doi.
org/10.
69569/jip.
2024.
0447 Bevizova, K.
, Falougy, H.
E.
, Thurzo, A.
, & Harsanyi, S.
(2024).
Is virtual reality enhancing dental anatomy education? A systematic review and meta-analysis.
BMC Medical Education, 24(1), 1395.
https://doi.
org/10.
1186/s12909-024-06233-0 Beye, A.
, & Woods, A.
(2024).
Promoting Deep Learning In First-Year Physiology Through Structured In-class Activities: Building a Bridge for Success.
Physiology, 39(S1), 2356.
https://doi.
org/10.
1152/physiol.
2024.
39.
S1.
2356 Briscoe, J.
, Franklin, C.
E.
, Gorelick, D.
A.
, Patton, E.
E.
, & Way, M.
(2025).
Science under siege: protecting scientific progress in turbulent times,  Biology Open, 14(3).
  https://doi.
org/10.
1242/bio.
061972 Bukhari, S.
T.
, Rafiq-uz-Zaman, M.
, & Bano, S.
(2025).
Analysing the Impact of Education Policies and Their Implementation on the School Education System in Punjab, Pakistan.
Inverge Journal of Social Sciences, 4(1), 98-110.
doi: https://doi.
org/10.
63544/ijss.
v4i1.
136 Eccles, J.
S.
, & Wigfield, A.
(2002).
Motivational beliefs, values, and goals.
Annual review of psychology, 53(1), 109-132.
https://psycnet.
apa.
org/doi/10.
1146/annurev.
psych.
53.
100901.
135153 Fernández, A.
, Gómez, B.
, Binjaku, K.
, & Meçe, E.
K.
(2023).
Digital transformation initiatives in higher education institutions: A multivocal literature review.
Education and information technologies, 28(10), 12351-12382.
https://doi.
org/10.
1007/s10639-022-11544-0 Gouvea, J.
S.
(2023).
Integrating Computation into Science Education.
CBE Life Sci Educ, 22(3), fe2.
doi: 10.
1187/cbe.
23-05-0093.
https://www.
lifescied.
org/doi/pdf/10.
1187/cbe.
23-05-0093 Haider, M.
H.
, Majeed, M.
A.
, & Irfan, M.
(2025).
Needs of Digital Literacy in the Era of Artificial Intelligence: A Comprehensive Review.
Inverge Journal of Social Sciences, 4(4), 396-409.
doi: https://doi.
org/10.
63544/ijss.
v4i4.
214 Hunt, W.
, Baldauf, B.
, & Lyonette, C.
(2025).
Horses for courses: subject differences in the chances of securing different types of graduate jobs in the UK.
Journal of Social Policy, 54(1), 228-248.
https://doi.
org/10.
1017/S0047279423000041 Hussain, Y.
, Rahman, N.
, Hussain, S.
, & Hussain, M.
(2024).
Factors affecting students’ career choices at higher secondary school leveL.
International Journal of Contemporary Issues in Social Sciences, 3(1), 304-316.
http://norr.
numl.
edu.
pk/repository/filedownload/1572 Itzek-Greulich, H.
, Flunger, B.
, Vollmer, C.
, Nagengast, B.
, Rehm, M.
, & Trautwein, U.
(2015).
Effects of a science center outreach lab on school students' achievement – Are student lab visits needed when they teach what students can learn at school? Learning and Instruction, 38, 43-52.
doi: https://doi.
org/10.
1016/j.
learninstruc.
2015.
03.
003 Kalhor, G.
, & Bahrak, B.
(2023).
Forecasting Success of Computer Science Professors and Students Based on Their Academic and Personal Backgrounds.
arXiv preprint arXiv:2311.
02476.
https://doi.
org/10.
48550/arXiv.
2311.
02476 Karim Ragab , E.
M.
-J.
, Elvira Fernandez-Ahumada (2025).
Students’ perceptions of the impact of interactive technology on engagement in STEM classes.
Contemporary Educational Technology, 14(7), ep602.
doi: https://doi.
org/10.
30935/cedtech/17408 Khan, S.
, Shiraz, M.
, Shah, G.
, & Muzamil, M.
(2023).
Understanding the factors contributing to low enrollment of science students in undergraduate programs.
Cogent Education, 10 (2).
https://doi.
org/10.
1080/2331186X.
2023.
2277032 Li, F.
, Zhang, D.
, Wu, S.
, Zhou, R.
, Dong, C.
, & Zhang, J.
(2023).
Positive effects of online games on the growth of college students: A qualitative study from China.
Frontiers in psychology, 14, 1008211.
https://doi.
org/10.
3389/fpsyg.
2023.
1008211 López, P.
, Simó, P.
, & Marco, J.
(2023).
Understanding STEM career choices: A systematic mapping.
Heliyon, 9(6).
https://doi.
org/10.
1016/j.
heliyon.
2023.
e16676 Naz, A.
, & Hussain, S.
(2025).
The Impact of Technology Integration on Student Engagement and Academic Achievement in Secondary Education: A Case Study of Schools in Multan City.
Al-Aijaz Research Journal of Islamic Studies & Humanities, 9(1), 289-295.
https://www.
arjish.
com/index.
php/arjish/article/view/811 Qayyum, A.
, Sadiqi, T.
, & Abbas, M.
A.
(2024).
Integrating artificial intelligence into early childhood education policy in Pakistan: Challenges, opportunities, and recommendations.
Journal of Development and Social Sciences, 5(4), 416-431.
https://doi.
org/10.
47205/jdss.
2024(5-IV)36 Rafiq-uz-Zaman, M.
(2023).
The Impact of Digital Literacy on Students’ Learning Outcomes: A Comprehensive Review.
Inverge Journal of Social Sciences, 2(2), 194-205.
doi: https://doi.
org/10.
63544/ijss.
v2i2.
210 Rashid, A.
, Rashid, M.
, Gul, U.
, & Qamer, N.
(2024).
The COVID-19’s Legacy in Pakistan’s Higher Secondary Education: A Cross-sectional Study.
Pakistan Journal of Social Sciences, 44(4), 549-560.
doi: https://doi.
org/10.
5281/zenodo.
14178555 Rashid, M.
, Fatima, M.
, Azmat, M.
, & Mahmood, T.
(2025).
Early Childhood Education in Punjab, Pakistan: Navigating Challenges and Exploring Solutions–A Narrative Review.
The Critical Review of Social Sciences Studies, 3(1), 2214-2228.
doi: https://doi.
org/10.
59075/79fbb084 Rashid, M.
, Rashid, A.
, Azmat, M.
, & Khorshid, F.
(2025).
Analyzing the causes of low enrollment in public intermediate institutions in Punjab, Pakistan.
The Critical Review of Social Sciences Studies, 3(1), 31-45.
doi: https://doi.
org/10.
59075/2tqb2v90 Shafiq, M.
, Sami, M.
A.
, Bano, N.
, Bano, R.
, & Rashid, M.
(2025).
Artificial intelligence in physics education: Transforming learning from primary to university level.
Indus Journal of Social Sciences, 3(1), 717-733.
doi: https://doi.
org/10.
59075/ijss.
v3i1.
807 Shah, S.
W.
, Riffat, Q.
, Ghafar, A.
, & Kazmi, S.
A.
R.
(2018).
Student Preference for Opting Biology and Computer Science at Secondary Level.
Education Journal, 7(6), 179-189.
DOI: 10.
11648/j.
edu.
20180706.
15 Soleymani, A.
, Aerts, T.
, De Laat, M.
, & Specht, M.
(2024).
Gamified Networked Learning Environments in Higher Education: A Study on Student Engagement and Value Creation in Computer Science.
European Conference on Games-based Learning.
https://doi.
org/10.
34190/ecgbl.
18.
1.
2660 Stevens, C.
, Anderson, S.
, & Carlson, A.
(2024).
Integrating High Performance Computing into Higher Education and the Pedagogy of Cluster Computing.
Practice and Experience in Advanced Research Computing 2024: Human Powered Computing (pp.
1-3).
https://dl.
acm.
org/doi/10.
1145/3626203.
3670588 Subasman, I.
, & Aliyyah, R.
R.
(2023).
The impact of technological transformation on career choices in the STEM sector.
Jurnal Kajian Pendidikan dan Psikologi, 1(2), 129-142.
https://doi.
org/10.
61397/jkpp.
v1i2.
94 Tabassum, S.
, Aslam, M.
O.
, & Abbas, Q.
(2025).
Effects of Social Media Platforms on the Academic Motivation, Research Skills and Academic Performance of University Students.
The Knowledge, 4(4), 52-59.
https://doi.
org/10.
55737/tk/2k25d.
44104 Tai, R.
H.
, Qi Liu, C.
, Maltese, A.
V.
, & Fan, X.
(2006).
Planning early for careers in science.
Science, 312(5777), 1143-1144.
https://doi.
org/10.
1126/science.
1128690 Wang, M.
T.
, & Degol, J.
(2013).
Motivational Pathways to STEM Career Choices: Using Expectancy-Value Perspective to Understand Individual and Gender Differences in STEM Fields.
Dev Rev, 33(4).
doi: 10.
1016/j.
dr.
2013.
08.
001 Yaseen, M.
, Andleeb, S.
, Ullah, N.
, & Zafar, J.
M.
(2025).
Impact of Information and Communication Technologies (ICTs) on Students’ Higher-Order Learning Skills at Secondary School Level.
The Knowledge, 4(2), 9-19.
https://doi.
org/10.
63062/tk/2k25b.
42047 Zhou, Y.
, & Shirazi, S.
(2025).
Factors influencing young people’s STEM career aspirations and career choices: A systematic literature review.
International Journal of Science and Mathematics Education.
https://doi.
org/10.
1007/s10763-025-10552-z.

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