Enhancing Mentoring Between Alumni and Students at Middle East College: An Android Mobile Application Using Data Mining Techniques

NAJAT Khalifa, Puttaswamy M R, Raza Hassan


Graduates are a very important part of universities and colleges where graduates' participation can be considered common among universities and colleges these days. The idea of implementing a mobile application for alumni association is to associate all the alumni together with Middle East College and make the association more active and interactive through a high involvement.  We are aware of the importance of graduate students where they can be considered as the key function for any university and any college. Furthermore, it is very important to utilize the power of the graduates. In this paper we propose a framework on how to building a mobile application for alumni association can enhance mentoring between alumni and students of Middle East College using data mining. It is not easy to apply data mining to enhance mentoring between alumni and current students. In the mobile application simple data mining algorithms are performed for more interactive between the alumni and current students.


Data mining, KDD, Classification, Mobile application

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Alegado, L. (2015). Online Alumni Information System Satisfies Alumni in an Educational Institution in Cebu City, Philippines. JPAIR Institutional Research, 6(1).

APPLYING DATA MINING TECHNIQUES ON ACADAMIC INSTITUTIONAL SYSTEM USING WEKA. (2018). International Journal of Recent Trends in Engineering and Research, pp.86-88.

Arote, J., Chintamani, Y.B, ... Pujari, V.D, 2016. Online Alumni System 4, 59–62.

Biesanz, G., Goode, M., Savin, L., 2014. Building Business Relationships through Strategic Alumni Development.

Cce.edu.om. (2018). Caledonian College of Engineering. [online] Available at: http://www.cce.edu.om/contentdetails.aspx?id=298 [Accessed 11 Dec. 2018].

Chi, H., Jones, E. and Grandham, L. (2012). Enhancing Mentoring Between Alumni and Students via Smart Alumni System. Procedia Computer Science, 9, pp.1390-1399.

Dolbert, S.C., 2002. Future Trends in Alumni Relations. 16th Australian International Education Conference 1–14.

Egan, D., Cockill, J., 2012. Enhancing Student learning and development in cooperation with our alumni. Student Engagement and Experience Journal 1, 1–12. doi:10.7190/seej.v1i1.36

Guan, Y. and Zhang, W. (2016). Data Mining Based on the Rough Analysis and the Application in the

Telecommunication Network Quality Evaluation. TELKOMNIKA (Telecommunication Computing Electronics and Control), 14(3A), p.313.

India, A. (2018). Australian Alumni Association India. [online] Australian Alumni Association India. Available at: https://www.australianalumni.in/ [Accessed 11 Dec. 2018].

Kumar, A. (2014) ‘A Framework for Developing an Alumni Interactive System of Private Higher Educational Institutions Using Data Mining Techniques’, 8491, pp. 1–7.

Menezes, T. P. et al. (2013) ‘Students’ and Alumni’s profiles analysis through the data mining technique: A case study in the Federal Institute in Rio de Janeiro State interior’, (May 2014). Available at: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929377324&partnerID=40&md5=b992795195a53ff96cf41b15fc58c915.

Moeller, E. (2014). Purdue University Dance Marathon: Creating Value for PUDM and the Student Community. Purdue Journal of Service-Learning and International Engagement, 1(1), pp.30-31.

Unizwa.edu.om. (2019). [online] Available at: http://www.unizwa.edu.om/index.php?contentid=1229 [Accessed 23 Apr. 2019].

User, S. (2019). Alumni - Majan University College. [online] Majancollege.edu.om. Available at: https://www.majancollege.edu.om/the-alumni [Accessed 10 Apr. 2019].

Patil, C., Patil, N., ... Chavan, S., 2017. Alumni Interactive System Using Mining 7, 15335–15336.

Priest, K. and Donley, S. (2014). Developing Leadership for Life: Outcomes from a Collegiate Student-Alumni Mentoring Program. Journal of Leadership Education, 13(3), pp.107-117.

Soharuni.edu.om. (2018). [online] Available at: https://www.soharuni.edu.om/sualumni/ [Accessed 11 Dec. 2018].

Soler, S. V. and Yankelevich, D. (2014) ‘Quality Mining A Data Mining Based Method for Data Quality Evaluation’, Pattern Recognition, (May), pp. 162–172.

Squ.edu.om. (2019). Sultan Qaboos University. [online] Available at: https://www.squ.edu.om/Default.aspx [Accessed 23 Apr. 2019].

DOI: https://doi.org/10.26483/ijarcs.v10i3.6440


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