INVESTIGATION OF GENDER-BASED INTEREST IN COMPUTER PROGRAMMING ENGAGEMENTS AMONG STUDENTS OF FEDERAL COLLEGE OF WILDLIFE MANAGEMENT, NEW BUSSA

  • Eric Aghiomesi Irunokhai Aghiomesi
  • Joseph Olusegun Adigun
  • John Ojo Onihunwa
  • Oluwafemi Adebayo Adeniji
  • Samuel Abiola Wealth
  • Oluwatobi Silas Dada
  • Yusuf Abubakar Sada
Keywords: Computer programming, Gender, Students

Author Biography

Joseph Olusegun Adigun
  •  

References

Aivaloglou, E., & Hermans, F. (2019). Early programming education and career orientation: The effects of gender, self efficacy, motivation and stereotypes. Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 679–685. https://doi.org/10.1145/3287324.3287358 DOI: https://doi.org/10.1145/3287324.3287358

Akinola, S. O. (2016). Computer programming skill and gender difference: An empirical study, American Journal of Scientific and Industrial Research, 7(1): 1-9. https://www.semanticscholar.org/paper/Computer-programming-skill-and-gender-difference-%3A-Olalekan/7010128b76291aac7b840f3350b4876977d6c468

Akinola, O.S. & K.A. Nosiru (2014). Factors influencing students’ performance in computer programming: a fuzzy set operations approach, International Journal of Advances in Engineering & Technology, 7:4, pp. 1141-1149. https://www.semanticscholar.org/paper/F-ACTORS-I-NFLUENCING-S-TUDENTS-%E2%80%99-P-ERFORMANCE-IN-C-Akinola-Nosiru/97bce1b6652325b8735559fc383d41d61b670d9c

Alvarado, C., Cao, Y., & Minnes, M. (2017). Gender Differences in Students’ Behaviors in CS Classes throughout the CS Major. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 27–32. https://doi.org/10.1145/3017680.3017771 DOI: https://doi.org/10.1145/3017680.3017771

Altun, A.; Mazman, S.G. Developing computer programming self-efficacy scale. J. Meas. Eval. Educ. Psychol. 2012, 3, 297–308.

Alshahrani, A., Ross, I., & Wood, M. I. (2018). Using social cognitive career theory to understand why students choose to study computer science. In Proceedings of the 2018 ACM conference on international computing education research - ICER ’18 (205–214). Espoo, Finland. https://doi.org/10.1145/3230977.3230994 DOI: https://doi.org/10.1145/3230977.3230994

Anathe R. Kimaro and Ebenezer A. Lawuo (20160, The Effects of Gender Stereotyping on Career Choice among Secondary School Students in Tanzania, International Journal of Advanced Engineering, Management and Science (IJAEMS), 29(2): 39-46. https://www.neliti.com/publications/239377/the-effects-of-gender-stereotyping-on-career-choice-among-secondary-school-stude

Archer, J., & Lloyd, J. (2002). Sex and Gender. London . Cambridge University Press. https://www.scirp.org/reference/referencespapers?referenceid=1348602 DOI: https://doi.org/10.1017/CBO9781139051910

Bailie,K. (2015). Women who make a difference: Role models for the 21st century, ACM Inroads 6, 36–43, https://doi.org/10.1145/2723170. DOI: https://doi.org/10.1145/2723170

Baser, M. Developing attitude scale toward computer programming. J. Acad. Soc. Sci. Stud. 2013, 6 (1), 199–215. https://jasstudies.com/?mod=makale_ing_ozet&makale_id=26901

Beyer, S. (2014). Why are women underrepresented in computer science? Gender differences in stereotypes, self-efficacy, values, and interests and predictors of future CS course-taking and grades. Computer Science Education, 24(2–3), 153–192. https://doi.org/10.1080/08993408.2014.963363 DOI: https://doi.org/10.1080/08993408.2014.963363

Black, P. C., Myketiak, C., McOwan, P.W. (2011), A study in engaging female students in computer science using role models, in: Proceedings of the 16th Annual Joint Conference on Innovation and Technology in Computer Science Education, ITiCSE ’11, ACM, New York, NY, USA, pp. 63–67. https://dl.acm.org/doi/10.1145/1999747.1999768 . DOI: https://doi.org/10.1145/1999747.1999768

Brook, S. (2024). Programmed differently? Testing for gender differences in Python programming style and quality on GitHub, Journal of Computer-Mediated Communication, pp.2-14. https://doi.org/10.1093/jcmc/zmad049 DOI: https://doi.org/10.1093/jcmc/zmad049

Denner, J. (2011). What predicts middle school girlsi interest in computing? International Journal of Gender, Science and Technology, 3(1), 53–69. http://genderandset.open.ac.uk/index.php/gender andset/article/view/106

Efthimia Aivaloglou and Felienne Hermans. 2019. How is programming taught in code clubs? Exploring the experiences and gender perceptions of code club teachers. In 19th Koli Calling International Conference on Computing Education Research (Koli Calling ’19), November 21–24, 2019, Koli, Finland. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3364510.3364514 DOI: https://doi.org/10.1145/3364510.3364514

Frieze, C. & Quesberry, J. (2015). Kicking Butt in Computer Science: Women in Computing at Carnegie Mellon University. Dog Ear Publishing.

Giannakos M. N., Jaccheri L., Leftheriotis I. (2014). Happy Girls Engaging with Technology: Assessing Emotions and Engagement Related to Programming Activities. In: Zaphiris P., Ioannou A. (Eds), Learning and Collaboration Technologies. Designing and Developing Novel Learning Experiences. LCT 2014. Lecture Notes in Computer Science, vol 8523. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-07482-5_38 DOI: https://doi.org/10.1007/978-3-319-07482-5_38

Garneli, V.; Chorianopoulos, K. The effects of video game making within science content on student computational thinking skills and performance. Interact. Technol. Smart Educ. 2019, 16 (1), 301–318. https://pdf.epidro.me/Garneli_2019.pdf DOI: https://doi.org/10.1108/ITSE-11-2018-0097

Gunasekara, N.D.(2021). Gender Differences in Learning Programming: An Analysis by Students‘ Perception, International Journal of Research and Innovation in Social Science, 5(4), pp.149-155. https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-5-issue-4/149-155.pdf

Happe, L., Buhnove B, ·Koziolek, A., and Wagner, I.(2020). Effective measures to foster girls’ interest in secondary computer science education, Educational and Information Technologies, https://doi.org/10.1007/s10639-020-10379-x DOI: https://doi.org/10.1007/s10639-020-10379-x

Hansen, A. K., Dwyer, H. A., Iveland, A., Talesfore, M., Wright, L., Harlow, D. B., & Franklin, D. (2017). Assessing children’s understanding of the work of computer scientists: The draw-a-computerscientist test. In Proceedings of the 2017 ACM SIGCSE technical symposium on computer science education (pp. 279–284). Seattle, Washington, USA. https://doi.org/10.1145/3017680.3017769 DOI: https://doi.org/10.1145/3017680.3017769

Hamer M. M., Kemp, E. J., Wong, B. & Copsey-Blake. M. (2023) Who wants to be a computer scientist? The computing aspirations of students in English secondary schools, International Journal of Science Education, 45:12, 990-1007, https://www.tandfonline.com/doi/full/10.1080/09500693.2023.2179379 DOI: https://doi.org/10.1080/09500693.2023.2179379

Kallia, M., & Sentance, S. (2018). Are boys more confident than girls? The role of calibration and students’ self-efficacy in programming tasks and computer science. In Proceedings of the 13th Workshop in Primary and Secondary Computing Education: WIPSCE '18, https://doi.org/10.1145/3265757.3265773 DOI: https://doi.org/10.1145/3265757.3265773

Sharma, K., Juan C. Torrado, Javier Gomez ´, Letizia Jaccheri (2021). Improving girls’ perception of computer science as a viable career option through game playing and design: Lessons from a systematic literature review, Entertainment Computing 36 (1), https://www.sciencedirect.com/science/article/pii/S1875952120300951 DOI: https://doi.org/10.1016/j.entcom.2020.100387

Lai, C.-H.; Chen, Y.-K.; Wang, Y.-h.; Liao, H.-C(2022). The Study of Learning Computer Programming for Students with Medical Fields of Specification—An Analysis via Structural Equation Modeling. Int. J. Environ. Res. Public Health, 19 (1), 6005. https://doi.org/10.3390/ijerph19106005 DOI: https://doi.org/10.3390/ijerph19106005

Mawere, G.E., Mutero T., and Kwenda C. (2018). Effect of gender on computer programing courses offered at universities in Zimbabwe, International Journal of engineering research and technology, 7(9): pp 62-66. https://www.ijert.org/effect-of-gender-on-computer-programming-courses-offered-at-universities-in-zimbabwe DOI: https://doi.org/10.17577/IJERTV7IS090035

Mayange, L.T. and Umar, U. S (2018). Effect of Gender-Role Stereotyping on Secondary School Students Career Aspirants in Nasarawa State, International Journal of Innovative Psychology & Social Development 6(2):64-73. https://keffi.nsuk.edu.ng/server/api/core/bitstreams/046bcbb8-6174-46d6-aaaf-860cda47519e/content

Medel, P. & Pournagshband, V. (2017). Eliminating Gender Bias in Computer Science Education Materials. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 411–416. https://doi.org/10.1145/3017680.3017794 DOI: https://doi.org/10.1145/3017680.3017794

Mwaura Margaret Nduta(2020), Gender Differences in Career Aspiration among Public Secondary Schools Students in Nairobi County, Kenya. American Journal of Multidisciplinary Research & Development, 2 (9),pp.16-25. https://www.ajmrd.com/wp-content/uploads/2020/09/C291625.pdf

Novrina Bigilda A. Orge (2016), Gender Stereotyping in Career Choices of College Students, International Journal of Education and Research, 4(7), 285-300. https://www.scribd.com/document/665326637/Gender-Stereotyping-in-Career-Choices-of-College-Students

Nunes, R.R.,Cruz, G., Pedrosa, D., Maia, A.M., Morgado, L. Paredes, H., Cravino, J.and Martins P. (2021). Motivating Students to Learn Computer Programming in Higher Education: The SimProgramming Approach, Springer Nature Switzerland AG 2021 A. Reis et al. (Eds.): TECH-EDU 2020, CCIS 1384, pp. 506–518. https://doi.org/10.1007/978-3-030-73988-1_41 DOI: https://doi.org/10.1007/978-3-030-73988-1_41

O’Donnell, K., Botelho, J., Brown, J., González, G.M. & Head, W. 2015. Undergraduate research and its impact on student success for underrepresented students. New Directions for Higher Education, 169, pp. 27-38. https://doi.org/10.1002/he.20120 DOI: https://doi.org/10.1002/he.20120

Özyurt, Ö. (2015). An analysis on distance education computer programming students’ attitudes regarding programming and their self-efficacy for programming. Turk. Online J. Distance Educ. 16 (1), 111–121. DOI: https://doi.org/10.17718/tojde.58767

Price C. B. & Price-Mohr R. (2021): Exploring gender differences in primary school computer programming classes: a study in an English state-funded urban school, Education 3-13, https://doi.org/10.1080/03004279.2021.1971274 DOI: https://doi.org/10.1080/03004279.2021.1971274

Ramírez, B.E.G, Collazos, C.A., Gonzalez, C.S. (2016), ´Gender differences in computing programs: Colombian case study, in: Proceedings of the XVII International Conference on Human Computer Interaction, ACM, New York, NY, USA, pp. 48:1–48:3. https://www.sciencedirect.com/science/article/pii/S1875952120300951 DOI: https://doi.org/10.1145/2998626.2998670

Rocha, V. & Van Praag, M. 2020. Mind the gap: The role of gender in entrepreneurial career choice and social influence by founders. Strategic Management Journal, 41(5), pp. 841-866. https://doi.org/10.1002/smj.3135 DOI: https://doi.org/10.1002/smj.3135

Su, J. Rounds, P.I. Armstrong(2009), Men and things, women and people: A metaanalysis of sex differences in interests, Psychol. Bull. 135, 859–884, https://doi.org/10.1037/a0017364. DOI: https://doi.org/10.1037/a0017364

Spieler, B; Oates-Induchovà, L.; and Slany, W. (2020) Female Teenagers in Computer Science Education: Understanding Stereotypes, Negative Impacts, and Positive Motivation. Journal of Women and Minorities in Science and Engineering. 26 (5). p. 473-510. https://arxiv.org/abs/1903.01190 DOI: https://doi.org/10.1615/JWomenMinorScienEng.2020028567

Tassabehji, R., Harding, N., Lee, H., Dominguez-Pery, C. (2021). From female computers to male computers: Or why there are so few women writing algorithms and developing software, human relations, Vol. 74(8) 1296–1326. https://journals.sagepub.com/doi/full/10.1177/0018726720914723 DOI: https://doi.org/10.1177/0018726720914723

Tasi’u, M., Ogwuche, P. J. & Dikko, H. G. (2024). Assessing education quality in military base secondary schools: a canonical correlation study of inputs and outputs in Kaduna state, FUDMA Journal of Sciences (FJS), Vol. 8 (3), pp 289 – 300, https://doi.org/10.33003/fjs-2024-0803-2449

Vrieler, T., Nylén, A & Cajander, A. (2021) Computer science club for girls and boys – a survey study on gender differences, Computer Science Education, 31:4, 431-461, https://www.tandfonline.com/doi/full/10.1080/08993408.2020.1832412 DOI: https://doi.org/10.1080/08993408.2020.1832412

Yates, J. & Plagnol, A. (2022). Female computer science students: A qualitative exploration of women’s experiences studying computer science at university in the UK. Education and Information Technologies, 27 (1), pp. 3079-3105. https://doi.org/10.1007/s10639-021-10743-5 DOI: https://doi.org/10.1007/s10639-021-10743-5

Zaidi, R., Freihofer, I., & Townsend, G. C. (2017). Using Scratch and Female Role Models while Storytelling Improves Fifth-Grade Students' Attitudes toward Computing. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education (SIGCSE '17), 791-792. https://doi.org/10.1145/3017680.3022451 DOI: https://doi.org/10.1145/3017680.3022451

Published
2024-08-27
How to Cite
IrunokhaiE. A., AdigunJ. O., OnihunwaJ. O., AdenijiO. A., WealthS. A., DadaO. S., & SadaY. A. (2024). INVESTIGATION OF GENDER-BASED INTEREST IN COMPUTER PROGRAMMING ENGAGEMENTS AMONG STUDENTS OF FEDERAL COLLEGE OF WILDLIFE MANAGEMENT, NEW BUSSA. FUDMA JOURNAL OF SCIENCES, 8(4), 276 - 282. https://doi.org/10.33003/fjs-2024-0804-2626