WCSE 2018 ISBN: 978-981-11-7861-0
DOI: 10.18178/wcse.2018.06.057

NUAT: Utilizing Knowledge Acquisition Techniques to Aggregate Data for Analysis and Automated Reports Generation

Angelique D. Lacasandile, Ma. Jessawin Monica T. Dejarlo, Anghlia V. Gregorio, Karen A. Francisco

Abstract— Educational institutions are now slowly grasping technological advancement to aim for a more productive and efficient environment for their employees and students. The purpose of this system is to provide a digital environment for the college applicants of National University for their Admission Application and Admissions Test, and have the data collected to be kept organized and safe from external causes of data destruction. All other important functions for the administrator includes reports generation, item analysis (from the Admissions Test) and notification for the applicants regarding their Examination Code and Status. In order to gain more knowledge and output, the researchers utilized the Agile Development Model which allows for iterative cycles with their client. To further support the data this paper gathered, interviews and surveys has been conducted.

Index Terms— automated reports, data analysis, item analysis, examination code, examination status, knowledge acquisition and processing

Angelique D. Lacasandile, Ma. Jessawin Monica T. Dejarlo, Anghlia V. Gregorio, Karen A. Francisco
National University, PHILIPPINES

[Download]


Cite: Angelique D. Lacasandile, Ma. Jessawin Monica T. Dejarlo, Anghlia V. Gregorio, Karen A. Francisco, "NUAT: Utilizing Knowledge Acquisition Techniques to Aggregate Data for Analysis and Automated Reports Generation," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 318-322, Bangkok, 28-30 June, 2018.