The second language can be defined as any other language which is learned or acquired after their first language or their mother tongue. Learning or acquiring a second language can be a difficult task for anybody that wishes to speak or write in a language other than their first language. Teachers should have the basic knowledge of second language acquisition theories to provide a comprehensive teaching and learning environment to students. One of the most applied and well-accepted theories is Stephen’s Krashen’s theory of second language acquisition. The present study was carried out as an observation on students to address the importance of Krashen’s Monitor Model and the Natural Approach in the stages of second language development to ensure effective teaching of the second language. The findings show that the cause of the input factor should be taken into consideration when teaching a second language/foreign language. The findings also indicated that cooperative learning can be a good method for students to get comprehensible input from their classmates.

Money laundering is perceived as a global threat with funds sourced from illegal and fraudulent activities. Money mules are recruited by criminal networks in money laundering chain, positioned between actual criminal and the illicit funds, enabling the criminals to be anonymous and non-visible to the detection of law enforcement. Job vacancy with various positions are offered with attractive financial rewards and work flexibility and the criminal elements are hidden behind the job criteria. Awareness on job criteria and the hidden criminal elements is a crucial factor in job acceptance. This study examines recruitment anatomy of students as money mules and job acceptance decisioning from awareness perspective. Library research methodology was employed in this research by reviewing existing research works on money mule recruitment to identify the underlying reasons and lapses in money mule recruitment and

Technology advancement has taken a new shape in leading the world into digital civilization, remarkably in e-commerce, communication and financial sectors. Taking advantage of the technology, criminals have also digitalized their modus operandi targeting the digital society with fraud and cybercrimes, hence contributing illicit funds. To disguise the money trail to the illegal activities, illicit funds sourced from unlawful and fraudulent activities transformed into legal funds via a money laundering scheme. Money laundering is perceived as a global threat

This study aims to identify the factors of aggressive behavior among motorcyclists in the state of Penang. Also identify the relationship between aggressive behavior factors and the dangerous driving index. This study is quantitative in nature by distributing questionnaires to 140 individuals who have been convicted under Section 42 (1) of the Road Transport Act 1987. Descriptive and inferential analysis methods are used to answer the research questions. Independent sample t-tests and one-way Anova were conducted to identify differences in the level of aggressive behavior among respondents based on demographic factors and conducted Pearson correlation analysis to identify the relationship between the two study variables. The findings of this study provide real figures related to the level of aggressive behavior from the perception of individuals who have ever made such mistakes. Independent sample t tests showed that there were behavioral differences based on gender factors. Meanwhile, one-way Anova test shows that there are differences based on employment factors and not education level. Correlation analysis showed that there was a relationship between aggressive behavior with a dangerous driving index with a value of r 0.349. Thus, this study helps in identifying the relationship between aggressive behavior and against the increase in the dangerous driving index among motorcyclists. All parties should mobilize their energy to reduce the dangerous driving index and pose a danger due to aggressive behavior factors on the road.

No abstract