CONCLUSION
This project aimed to develop a mobile application, iTeachU, that would practically recommend a tutor to a pupil
who aligns with their learning preferences. To achieve this, the primary objective was to develop a clever
matching platform with a mobile interface to improve the tutoring selection process. The designed application
is intended to enhance students' experience by providing access to tutors through custom recommendations and
filtering capabilities.
The first objective was to design an interactive, user-friendly interface that makes finding a tutor easier. It was
done with the help of the Flutter framework to create a contemporary interface that allows students to enter their
preferences, including location, subject, gender, and tutoring mode. The app has attractive tutor cards, a
Facebook name-based location input using Google Maps, and real-time dropdown filtering of results, making
the process of searching and selecting a tutor easy.
The second objective was to develop a recommendation engine that recommends the most appropriate tutors
based on student input. It has been done using the K-Nearest Neighbours (KNN) algorithm. Contrary to
traditional systems that offer only location or manual search, iTeachU provides a Better Match Score, a hybrid
measurement that considers both categorical and location options. Based on criteria at the subject level, tutoring
mode, and distance, the system creates and prioritises the top three most compatible tutor matches for every
student. Results are accurate and reliable, and the test cases also indicate that the top matches align with what
the student expects.
The third objective focused on testing the functionality and user-friendliness of the mobile application through
real interactions. Android devices and emulators were used to test the app, and all central features were found to
be stable and working correctly. User testing has shown that the system returned results quickly and accurately,
and that the overall user experience was smooth. This included features such as saving tutors, viewing their
detailed profiles, and communicating with them via the WhatsApp application, which are beneficial for
achieving the goal of high usability.
Overall, the iTeachU application could meet its goals, as it presented a location- and preference-based tutor-
recommendation system with a fascinating and practical interface. It is value-added to the education ecosystem
because it offers students significant and customised links to tutors in Melaka.
REFERENCES
1. Abdulkarim, M. S., Maon, D. B. M., Quiray, R. A., & Abdul Latip, F. M. (2022). The Effect of Reciprocal
Peer Tutoring Strategy to Students’ Mathematics Performance. Randwick International of Education and
Linguistics Science Journal, 3(1), 44–49. https://doi.org/10.47175/rielsj.v3i1.403
2. Abu-Shawish, R. K. (2023). Students’ Perspectives on the Factors That Influence the Use of Private
Tutoring Usage in Qatar. SAGE Open, 13(4). https://doi.org/10.1177/21582440231210374
3. Adeboye Popoola, O., Ejiga Adama, H., David Okeke, C., & Emmanuel Akinoso, A. (2024).
Conceptualizing Agile Development in Digital Transformations: Theoretical Foundations and Practical
Applications. Engineering Science & Technology Journal, 5(4), 1524–1541.
https://doi.org/10.51594/estj/v5i4.1080
4. Chung Seng Chee Tan, & Sheng-Hung. (2020). MENTOR-Intelligent Mobile Online Peer Tutoring
Application for Face-to-Face and Remote Peer Tutoring.
5. Corzo-Zavalet, J., Yon-Alv, R., Icho-Yacupom, J., Somoza, Y. P., Andrade-Arena, L., & Vargas-Cuentas,
N. I. (2023). Hybrid Learning in Times of Pandemic Covid-19: An Experience in a Lima University.
International Journal of Engineering Pedagogy, 13(1), 65–81. https://doi.org/10.3991/ijep.v13i1.36393
6. Guill, K., Lüdtke, O., & Köller, O. (2020). Assessing the instructional quality of private tutoring and its
effects on student outcomes: Analyses from the German National Educational Panel Study. British
Journal of Educational Psychology, 90(2), 282–300. https://doi.org/10.1111/bjep.12281
7. Hultberg, P. T., Calonge, D. S., & Choi, T. (2021). Costs and benefits of private tutoring programs: the
South Korean case. International Journal of Social Economics, 48(6), 862–877.
https://doi.org/10.1108/IJSE-12-2019-0722