The traditional classroom-based teaching and learning of the History subject are ineffective and less interactive, influencing the students' interest and motivation to learn history. Therefore, museum-based learning was proposed to supplement classroom-based learning for effective teaching and learning of the History subject. However, the excursions to the museum are often hindered by issues caused by the geographical location, the museum's policies, and student commitments. The hindrances motivated the researchers to design and develop a role-playing game (RPG) in Muzium Negara (National Museum of Malaysia) known as 'Waktu Silam' to enhance students' interest, motivation, and knowledge on the cultural and historical heritage of Malaysia. A survey questionnaire was distributed to assess the enjoyment level provided by the game. The results showed that 84.8% of participants had experienced the element of enjoyment in this game. This study anticipated enhancing the student interest and knowledge in history, enhancing visitors' experience, and promoting tourism to Muzium Negara. Additionally, the project is expected to include multiplayer functionality to add more interactivity to the game in future works.
This study explicitly discusses helping job seekers predict salaries and visualize job vacancies related to their future careers. Jobstreet Malaysia is an ideal platform for discovering jobs across the country. However, it is challenging to identify these jobs, which are organized according to their respective and specific courses. Therefore, the linear regression approach and visualization techniques were applied to overcome the problem. This approach can provide predicted salaries, which is useful as this enables job seekers to choose jobs more easily based on their salary expectations. The extracted Jobstreet data runs the pre-processing, develops the model, and runs on real-world data. A web-based dashboard presents the visualization of the extracted data. This helps job seekers to gain a thorough overview of their desired employment field and compare the salaries offered. The system’s reliability as tested using mean absolute error, the functionality test was performed according to the use case description, and the usability test was performed using the system usability scale. The reliability results indicate a positive correlation with the actual values. The functionality test produced a successful result, and a score of 96.58% was achieved for the system usability scale result, proving the system grade is ‘A’ and usable.
Academic performance of students mostly relies on their existing knowledge, academicians and their teaching approaches, socioeconomic status, and their own efforts [3].Students coming from different socioeconomic statuses may have different levels of motivation and factors that contribute to their learning habits [4]. Their learning habits might need some adjustments to comply with the online learning approach as well as being at home during the pandemic. In some situations, students become less active (physically) as they have to spend more screen time thus interrupting their sleep patterns which can result in loss of cardiorespiratory fitness [5]. To ensure the students' performance do not deteriorate, an early intervention is required by determine the factors involved. Early intervention is crucial to avoid unforeseen circumstances such as failing of subjects, low graduate percentage and also a rise in the depression statistics among students.
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