English language learners have difficulties in English in pronouncing fricative consonants, voiced and voiceless TH, plosive consonants and vowel sounds. Serious speech mistakes can lead to miscommunication since poor pronunciation abilities make it difficult for other people to hear what you are saying. Additionally, students may miss their lecturers' direct explanations of proper pronunciation when taking online English lessons with inconsistent Internet access. Proper pronunciation can help students participate in conversations, form connections, and improve graduates' employability abilities. Furthermore, pronunciation skills are learnt independently at higher education institutions. Before designing a web-based tool for self-directed learning of English pronunciation, the designers must get feedback from the students about their self-directed learning, self-evaluation of English language proficiency and English learning experiences through Online Distance Learning (ODL). This survey is a preliminary survey towards the development of a heutagogical English pronunciation application. An online questionnaire was disseminated to 424 respondents from various higher education institutions in Malaysia. Â In this survey, firstly we aimed to get feedback from the students about their self-directed learning, self-evaluation of English language proficiency and English learning experiences through Online Distance Learning (ODL). The survey consisted of demographic data of respondents, standardized test of English language proficiency, self-evaluation of English language proficiency and English language learning experiences during COVID-19. The findings suggested that although language learners have developed their self-directed learning skills, they still need to improve these skills in learning the language using ODL. Learners consider themselves as having average English language proficiency. They were responsible for improving their pronunciation skills and needed assistant tools to improve their pronunciation skills. It is recommended that an application that uses a heutagogical approach such as Speech-to-Text and Text-to Speech need to be developed.
Mobile home service recommender application offers smart and efficient interaction to unify digitally the multi background residents in the community to delineate their inhouse issues such as to get handyman for home service. The current process of getting home service need data that can be considered and matched according to the issue. Using embedded recommender logic inside the mobile application, it can match the resident’s profile and problem preferences by analysing the behaviour of each item and finally generate personalized home service recommendation solution. This paper conducted a preliminary study in digitizing home service using recommender approach. It aims to investigate the current behaviour of people on getting home service and their readiness to use tailored mobile home service searching application. It collects data from 339 respondents using social media platform. The result from the survey shows that mobile application is common in people life. It also reveals that residents are commonly facing issues on piping, home appliance, furniture, gas cooking, baby care, grass and home maid. To get solution, people are very depending on home service. However, the current way of getting the home service is inadequate to assist them. It also disclosed that people prefer to use mobile application to improve the home service searching. Either conventional or advanced recommender, mobile application can provide on the go and portable service to produce home service personalized recommendation. As conclusion, this paper offering scholars with the state-of-the-art knowledge to embark the recommender approach for home service platform toward digitization of society.
Examination is a vital role to measure the capabilities of students in their learning. Hence, generating question paper in an effective way is a decisive job for educators in educational institution. Using traditional method, it is monotonous and time consuming. Today, Autonomous Examination Paper (AEP) is used to produce exam paper. Many researchers have proposed effective AEPs to be used by educators. This paper aims to investigate about AEP development and to construct AEP in UiTM Cawangan Perlis. As a result, Ad-Hoc Question Paper Application (AQPA) has been developed using Fisher-Yates algorithm to generate questions for exam paper in the university. Evaluation based on Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) reveal that lecturers in the university manage to interact with AQPA and willing to use it as a tool to minimize their workload. However, more improvement must be done on AQPA to be an effective AEP. To conclude, AEP brings significance to educators and can be improved with the latest technology.
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