Evaluating usability of learning disability assessment system

Harnum Junaidi, Putri Sakinah Fikriah and Imi, Nur Amira and Zakaria, Noor Azura and Abdul Karim, Ruwinah and Lubis, Muharman and Mat Rejab, Mazidah (2022) Evaluating usability of learning disability assessment system. In: 8th International Conference on Computing, Engineering and Design (ICCED), Sukabumi, Indonesia.

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Abstract

The Learning Disability Assessment System (LeDAS) entails crucial decision making to produce a diagnosis referring to the information inserted by the therapists and parents. In this manner, accuracy of the information system is a pivot to generate an effective system. Research evaluation of LeDAS is necessary due to the fact that it is a recently developed system with over 3,000 patients currently using it thus it is imperative to evaluate the system to measure its usability. The purpose of this research is to evaluate the usability of the developed LeDAS web-based system in order to ensure the system can fulfill the user’s satisfaction and be usable. The conducted survey targets therapists and parents to collect data. The data produced from this study will be used to provide insight into the need of furthering proficiency in generating a satisfactory system. This evaluation analyzed using the descriptive statistic, exploratory factor analysis (EFA), reliability testing and hypothesis testing. The result showed that 5 hypotheses were supported.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	learning disability assessment, usability, usability evaluation, Nielsen’s Attributes of Usability
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Noor Azura Zakaria
Date Deposited:	20 Jan 2023 11:29
Last Modified:	08 Jan 2024 18:41
URI:	http://irep.iium.edu.my/id/eprint/90803

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