Authors :
David James Ukata; Anasuodei Bemoifie Moko
Volume/Issue :
Volume 11 - 2026, Issue 1 - January
Google Scholar :
https://tinyurl.com/yvvu6x4v
Scribd :
https://tinyurl.com/fk6pedky
DOI :
https://doi.org/10.38124/ijisrt/26jan1261
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Sub-Saharan Africa is facing rising educational issues, which consist of restricted opportunities for quality
education, language difficulties, gaps in skills, inequality by gender, lack of investment, political instability, brain drain,
and global economic imbalances.This study presents the design, development, and evaluation of SkillSwap, a mobile-based
collaborative learning platform that facilitates free peer-to-peer digital skills exchange among university students. The
platform addresses critical challenges in educational technology accessibility, particularly the financial barriers imposed
by commercial e-learning platforms that affect 78% of Nigerian university students. Using Flutter framework and
Firebase backend services, we implemented a bidirectional matching algorithm that achieves 80-95% accuracy in
connecting students with complementary skill sets. The system demonstrated exceptional performance, with message
delivery success rates exceeding 98%, application load times of 2-4 seconds, and crash rates of less than 2%. User
acceptance testing with 30 university students yielded a satisfaction score of 7.2/10, with 78% indicating willingness to use
the platform for actual skill exchange. The platform successfully validates peer learning theory applications in digital
contexts, demonstrating that reciprocal skill exchange can effectively democratize access to practical education while
fostering collaborative learning communities
Keywords :
Peer-to-Peer Learning, Mobile Application, Skill Exchange, Collaborative Learning, Educational Technology.
References :
- Adediran, A., Adedeji, A., Nwosu, E., Nwugo, E., & Nnamani, G. (2023). Ed-Tech landscape and challenges in Sub-Saharan Africa. Ed-Tech Landscape and Challenges in Sub-Saharan Africa. [Online].
- Jadhav, N., & Ahire, P. (2025). Connectra: A peer-to-peer skill exchange platform for academic and professional development. International Journal of Creative Research Thoughts, 13(4), o985–o993. https://www.ijcrt.org/papers/IJCRT25A4757.pdf
- Boud, D., Cohen, R., & Sampson, J. (2014). Peer Learning in Higher Education: Learning from and with Each Other. Taylor and Francis.
- K. J. Topping, "Trends in peer learning," Educational Psychology, vol. 25, no. 6, pp. 631-645, 2005.
- Bandura, A. (1977). Social learning theory. Prentice Hall.
- Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice Hall.
- Boud, D., & Lee, A. (2005). 'Peer learning' as pedagogic discourse for research education. Studies in Higher Education, 30(5), 501–516. https://doi.org/10.1080/03075070500249138
- Carretero, S., Vuorikari, R., & Punie, Y. (2017). DigComp 2.1: The digital competence framework for citizens with eight proficiency levels and examples of use. Publications Office of the European Union. https://doi.org/10.2760/38842
- Chen, P., & Bryer, T. (2012). Investigating instructional strategies for using social media in formal and informal learning. The International Review of Research in Open and Distributed Learning, 13(1), 87–104. https://doi.org/10.19173/irrodl.v13i1.1027
- Crompton, H., & Burke, D. (2018). The use of mobile learning in higher education: A systematic review. Computers & Education, 123, 53–64. https://doi.org/10.1016/j.compedu.2018.04.007
- Dillenbourg, P. (2016). The evolution of research on digital education. International Journal of Artificial Intelligence in Education, 26(2), 544–560. https://doi.org/10.1007/s40593-016-0106-z
- Giannakos, M. N., Sampson, D. G., & Kidziński, Ł. (2014). Introduction to smart learning analytics: Foundations and developments in video-based learning. Smart Learning Environments, 1(1), Article 4. https://doi.org/10.1186/s40561-014-0004-2
- Hatlevik, O. E., Throndsen, I., Loi, M., & Gudmundsdottir, G. B. (2018). Students' ICT self-efficacy and computer and information literacy: Determinants and relationships. Computers & Education, 118, 107–119. https://doi.org/10.1016/j.compedu.2017.11.011
- Henderson, M., Selwyn, N., & Aston, R. (2020). What works and why? Student perceptions of 'useful' digital technology in university teaching and learning. Studies in Higher Education, 42(8), 1567–1579. https://doi.org/10.1080/03075079.2015.1007946
- Hwang, G. J., & Wu, P. H. (2014). Applications, impacts and trends of mobile technology-enhanced learning: A review of 2008–2012 publications in selected SSCI journals. International Journal of Mobile Learning and Organisation, 8(2), 83–95. https://doi.org/10.1504/IJMLO.2014.062346
- Johnson, D. W., & Johnson, R. T. (1989). Cooperation and competition: Theory and research. Interaction Book Company.
- Johnson, D. W., & Johnson, R. T. (2019). An educational psychology success story: Social interdependence theory and cooperative learning. Educational Researcher, 38(5), 365–379. https://doi.org/10.3102/0013189X09339057
- Kreijns, K., Kirschner, P. A., & Vermeulen, M. (2013). Social aspects of CSCL environments: A research framework. Educational Psychologist, 48(4), 229–242. https://doi.org/10.1080/00461520.2012.750225
- Kukulska-Hulme, A. (2018). Mobile-assisted language learning. In C. A. Chapelle (Ed.), The encyclopedia of applied linguistics (pp. 1–9). Wiley-Blackwell. https://doi.org/10.1002/9781405198431.wbeal0768.pub2
- Li, H., Peng, J., Li, Y., & Ou, W. (2017). Examining the effects of gamification on intrinsic motivation and learning achievement in a mobile learning context: A quantitative analysis. Journal of Educational Technology & Society, 20(4), 155–170.
- Maher, C., Ferguson, M., Gomez, P., Epton, T., Marteau, T., & Michie, S. (2020). Development of a behavior change platform for use in interventions. International Journal of Behavioral Medicine, 21, 262–271. https://doi.org/10.1007/s12529-012-9283-9
- Ng, W. (2012). Can we teach digital natives digital literacy? Computers & Education, 59(3), 1065–1078. https://doi.org/10.1016/j.compedu.2012.04.016
- Nielsen, J. (2020). 10 usability heuristics for user interface design. Nielsen Norman Group. https://www.nngroup.com/articles/ten-usability-heuristics/
- Sung, Y. T., Chang, K. E., & Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275. https://doi.org/10.1016/j.compedu.2015.11.008
- Tchounikine, P. (2019). Learners' agency and CSCL technologies: Towards an emancipatory perspective. International Journal of Computer-Supported Collaborative Learning, 14(2), 237–250. https://doi.org/10.1007/s11412-019-09302-5
26. van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2017). The relation between 21st-century skills and digital skills: A systematic literature review. Computers in Human Behavior, 72, 577–588. https://doi.org/10.1016/j.chb.2017.03.010
Sub-Saharan Africa is facing rising educational issues, which consist of restricted opportunities for quality
education, language difficulties, gaps in skills, inequality by gender, lack of investment, political instability, brain drain,
and global economic imbalances.This study presents the design, development, and evaluation of SkillSwap, a mobile-based
collaborative learning platform that facilitates free peer-to-peer digital skills exchange among university students. The
platform addresses critical challenges in educational technology accessibility, particularly the financial barriers imposed
by commercial e-learning platforms that affect 78% of Nigerian university students. Using Flutter framework and
Firebase backend services, we implemented a bidirectional matching algorithm that achieves 80-95% accuracy in
connecting students with complementary skill sets. The system demonstrated exceptional performance, with message
delivery success rates exceeding 98%, application load times of 2-4 seconds, and crash rates of less than 2%. User
acceptance testing with 30 university students yielded a satisfaction score of 7.2/10, with 78% indicating willingness to use
the platform for actual skill exchange. The platform successfully validates peer learning theory applications in digital
contexts, demonstrating that reciprocal skill exchange can effectively democratize access to practical education while
fostering collaborative learning communities
Keywords :
Peer-to-Peer Learning, Mobile Application, Skill Exchange, Collaborative Learning, Educational Technology.