DEFINICION DE LA ESTRATEGIA Y PLAN DE ACCION

Documentation is critical to an effective program implementation. It is a written text that accompanies the new system that was developed. It explains how the system operates or how to use it and explains the different roles of different individuals. The documentation in the work focuses on how the application will be installed and used. To install it on the system to run from the hard disk, follow the procedure below.

i. Install Java jdk version 1.7.0 on the Computer ii. Install Weka Machine learning version 3.8.0 iii. Install Jade Agent platform

iv. Install Java Virtual Machine v. Install Netbeans IDE version 7.3.0 vi. Install nopad++

171 vii. Install MySQL Sever (Wamp)

viii. Insert CD-ROM into the system ix. Click Drive:

x. Select the folder “MultiAgentPlatform”

xi. Paste in the already installed Netbeans Project

xii. Launch the Netbeans project to have access to application

xiii. In the MultiAgentPlatform upload your database to MySQL server:

xiv Right click on the application you just uploaded int Netbeans Project ” MultiAgentPlatform”

xv. Click Run

xvi. Enter the user name and password and click login

xvii. Select options from the menu for the operation of the system 4.7.7 SYSTEM CONVERSION

It is a process of migrating from the old system to the new one. It provides understandable and structured approach to improve the communication between management and project team.

a. Parallel ConversionIn a parallel changeover, the new system runs simultaneously with the old for a given period of time. Of all the techniques, this tends to be the most popular, mainly because it carries the lowest risk. If something goes wrong at any point, the entire system can be reverted back to its original state. A primary disadvantage in running two systems at the same time is higher costs. The parallel changeover process also can be quite time-consuming.

b. Pilot conversion this is quite similar to parallel implementation or conversion, however, with the pilot system only a portion of the new system is run alongside the new system.

Since parallel changeovers tend to be expensive, using the pilot changeover technique allows companies to run the new system next to their old but on a much smaller scale.

This makes the pilot changeover method much more cost-effective.

172 c. Direct conversionreferred to as immediate replacement, it tends to be the least favourite of the changeover techniques. In a direct changeover, the entire system is replaced in an instant. Basically, as soon as the new system is powered up, the old system is shut down.

Advantages of Direct Changeover are that it forces users to make new system work and it offers immediate benefit from new methods and control. This type of changeover carries the most risk because; if something goes wrong, reverting back to the old system usually is impossible. Using the direct changeover technique tends to work best in situations where a system failure isn't critical enough to result in a disaster for the company or where there are no exiting systems..

d. Phase conversion Phased changeover technique is considered a compromise between parallel and direct changeovers. In a phased changeover, the new system is implemented one stage at a time. As an example, consider a company working toward installing a new financial system. Implementing the new system one department at a time, the company converts accounts receivable, accounts payable, payroll, and so on. Advantages to phased changeovers are their low cost and isolated errors. The main disadvantage is the process takes a long time to complete because phases need to be implemented separately.

4.7.7.2 Recommended Procedure

Direct Change over is recommended for this system since there are no existing system for performance prediction.

173 CHAPTER FIVE

SUMMARY, CONCLUSION AND RECOMMENDATION 5.1 Summary

Educational Data Mining system remains relevant in analyzing and predicting the Academic Performance of students by considering different performance factors.

Artificial intelligence techniques have been successfully used in many fields and it offers potential possibility of classifying students’ performance. Predicting students’ performance is an active research area due to its significant importance to staff, students and academic institution at large. It helps educators and learners improve their learning and teaching process. The knowledge will improve the quality of education, performance of students and help decrease failure rate.

In conclusion, this study can motivate and help universities to perform data mining tasks on their students’ data regularly to find out interesting results and patterns which can help both the university as well as the students in many ways.