American Journal of Software Engineering and Applications
Volume 5, Issue 4, August 2016, Pages: 21-32
Received: Aug. 3, 2016;
Accepted: Nov. 25, 2016;
Published: Jan. 9, 2017
Views 4171 Downloads 139
Ikono Rhoda Nsikan-Abasi, Computer Science & Engineering Department, Obafemi Awolowo University, Ile-Ife, Nigeria
Gambo Ishaya Peni, Computer Science & Engineering Department, Obafemi Awolowo University, Ile-Ife, Nigeria
Adebayo Moses Olajuwon, Computer Science & Engineering Department, Obafemi Awolowo University, Ile-Ife, Nigeria
Web presence is gradually becoming an essential part of every learning institute. This is why a large portion of academic activities is becoming available online. However, despite the emerging growth in the use of information technology towards academics, it is still a challenge for part advisers to effectively monitor and mentor their students’ academic activities, progress and processes. This paper attempts to justify the need to bridge the gap between students and their advisers through the use of web based technology. The paper adopted the qualitative research approach and a face-to-face interview with 24 Part Advisers from seven (7) faculties of the Obafemi Awolowo University, Nigeria. 120 students randomly selected from each faculty were also interviewed to know what their challenges and expectations are for such a system. Software development life cycle phases were strictly followed in the development process, and the Students Advisory Management System (SAMS) was implemented using web technologies. The system helps students stay up-to-date on their academic career by improving their level of communication with their assigned part advisers. It also helps part advisers better manage their students. The paper showed an enhancement to the SAMS from the development perspective. This will help overcome the various challenges encountered by different categories of learners in the learning process. Thus, the paper justified the need for knowledge suitable for learners, and provides advisers an automated platform for active interaction. The paper concludes that it is essential, therefore, that student’ advisers understand the learning process and know how to facilitate its application throughout their areas of responsibility in an academic system, while giving the students the opportunity to receive better monitoring and mentoring in the course of their academics.
Ikono Rhoda Nsikan-Abasi,
Gambo Ishaya Peni,
Adebayo Moses Olajuwon,
Engineering of a Student Advisory Management System: Development Perspective, American Journal of Software Engineering and Applications.
Vol. 5, No. 4,
2016, pp. 21-32.
Snowman, J. (1997). Educational Psychology: What Do We Teach, What Should We Teach? Educational Psychology, 9, 151-169.
Buckler, B. (1996). A learning process model to achieve continuous improvement and innovation. Learning Organization, 3 (3), 31-39.
Alavi, M., & Leidner, D. (2001). Knowledge Management Systems: Conceptual Foundations and Research Issues. MIS Quarterly, 25 (1), 107-136.
Currie G, Finn R, & G., M. (2007). Spanning boundaries in pursuit of effective knowledge sharing within networks in the NHS. 17, 406.
Gupta, B. L., & Aronson, J. (2000). Knowledge management: practices and challenges‟ Industrial Management & Data Systems. 100, 17-21.
Gaibreath, J. (2004). Knowledge management technology in education. Information Technology Underused in Education, 28-33.
McLeod, S. A. (2010). Kolb-Learning Style. Retrieved from http://www.simplypsychology.org/learning-kolb.html
Kolb. (1981). Learning styles and disciplinary differences, In A. W. Chickering. San Francisco: Jossey-Bass.
Dakota. (2013). Learnng Process. Retrieved March 12, 2013, from http://www.dakota.fmpdata.net/PsychAI/PrintFiles/DefLrng.pdf
Hayward, L. M., Blackmer, B., & Raelin, J. (2007). Teaching students a process of reflection: A model for increasing practice-based learning outcomes during cooperative education. Cooperative Education and Internships, 35-47.
Darling-Hammond, L., & Wentworth, L. (2010). Benchmarking learning systems: Student performance assessment in international context. Stanford Center for Opportunity Policy in Education.
Run-min, F. E. N. G. (2009). Design and Implementation of High Education Student Management System Based on Struts & Hibernate & Spring [J]. Computer Engineering, 6, 280-282.
Deniz, D. Z., and Ersan, I. (2002). An Academic Decision Support System Based on Academic Performance Evaluation for Student and Program Assessment. International Journal of Engineering Education, 18 (2), 236-244.
Notley, T. (2008). Online network use in schools: Social and educational opportunities. Youth Studies Australia, 27 (3), 20.
JAIN, R., & CHLAMTAC, I. (2005). The P’* Algorithm for Dynamic calculation of quartiles and histogram without storing observations. (R. G. Sargent, Ed.) Simulation Modelling and statistical computing, 28 (10), 1-10. Retrieved 2013, from http://www.cs.wustl.edu/~jain/papers/ftp/psqr.pdf
Towns, J., Cockerill, T., Dahan, M., Foster, I., Gaither, K., Grimshaw, A., and Roskies, R. (2014). XSEDE: accelerating scientific discovery. In Computing in Science & Engineering, 16 (5), 62-74.
Pearlson, K. E., Saunders, C. S., and Galletta, D. F. (2016). Managing and Using Information Systems, Binder Ready Version: A Strategic Approach. John Wiley & Sons.
Coates, H., and McCormick, A. C. (2015). Engaging University Students. International Insights from System-Wide Studies.