Computer Based Testing (CBT) System for GST Exams in Adamawa State University, Mubi

Main Article Content

Abdulkareem Suleiman
Nathan Nachandiya

Abstract

The examination is one of the most broadly used strategies for assessing learning and capacity of a student. Adamawa State University is engulfed in a lot of irregularities during examination and also delays of results after the examination. These and another manual method of processing results give room for errors during results compilation. The utilisation of Information and Communication Technology in directing examinations can enhance proficiency and decrease the delay of student's result after examination. A Computer Based Testing System (CBT) was designed and implemented to diminish the delay of student's examination result. The CBTS was designed using the Agile model of the Software Development Life Cycle (SDLC). Implementation was done utilising the open source technologies, like XAMPP server, MySQL, PhP, JavaScript, Cascading Style Sheet and Hypertext Markup Language. The CBT presents notice of student's outcome quickly in the wake of taking the examination, enable the student to retake the exam (where necessary), and furthermore give diverse kinds of questions. The utilisation of CBT system can enhance the productivity and gainfulness of scholarly establishments as it diminishes the cost of stationeries and work associated with conducting examination manually. This by implication can reduce the cost of buying examination materials (papers, printers, turners etc) and students can have their results immediately after the examination.  The developed system proved to be efficient and can be enhanced by adding other forms of questions like diagrammatic question to make the test address more diverse areas.

 

Keywords:
Examination, CBT, online exam, student, general studies, malpractice, delays

Article Details

How to Cite
Suleiman, A., & Nachandiya, N. (2018). Computer Based Testing (CBT) System for GST Exams in Adamawa State University, Mubi. Asian Journal of Research in Computer Science, 2(1), 1-11. https://doi.org/10.9734/ajrcos/2018/v2i124776
Section
Original Research Article