MyMUET: A Design of a Mobile based Crowdsourced Assessment for Malaysia University English Test with Non-Synchronous Participant Interaction

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Abstract

Malaysian University English Test is a compulsory exam for local Malaysian students and a prerequisite for graduation. In 2017, more than five hundred thousand local students were enrolled in Malaysian public universities and therefore will need to sit for this examination. This enrolment number is increasing every year. However, there number of competent TESL graduates or English teachers available to cater this volume of students yearly is unknown. Many of these students are not from English speaking background and there are limited resources and assistant available for tutors who need to cater the demand of these students. Even though there are many resources online, the resources for speaking module mainly consists of tips to score and question examples. Students are unable to get feedback of their speaking module even if they practiced the mock exam questions. Moreover, the MUET speaking exam consists of group speaking tasks which the student or user may not be able to fulfil the quorum for practice. This paper shall propose MyMUET, a design of a one stop mobile based crowdsourcing tutor service for MUET to enable students to be able to obtain real time feedback of their speaking exam with interaction with non-real time participants with recommended tutors. Other MUET modules such as writing, reading and listening is also available to be used. MyMUET is developed based on Android studio and enables tutors to list their services and students to select the respective tutors. This method saves time for tutors to develop their own exam questions, enable them to focus on evaluation. This shall also be able to standardize the MUET examination to students receive high quality mock exam questions. MyMUET is then evaluated to ensure its relevance based on subject matter expert feedback. The evaluated system shows that students and academic expert find the application helpful to improve students learning experience

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Electrical and Electronic Engineering,Mechanics of Materials,Civil and Structural Engineering,General Computer Science

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhanced System Usability Scale using the Software Quality Standard Approach;Engineering, Technology & Applied Science Research;2023-10-13

2. Prediction of MUET Results Based on K-Nearest Neighbour Algorithm;Annals of Emerging Technologies in Computing;2023-10-05

3. A Student Learning Style Auto-Detection Model in a Learning Management System;Engineering, Technology & Applied Science Research;2023-06-02

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