The study investigates the relationship between students' personality traits and learning styles in an institution of higher learning in Brunei Darussalam. A quantitative survey, based on a random sampling approach was used to conduct the study. Questionnaires from ninety respondents were received and analysed using Chi-square test. Big-Five (OCEAN) personality theory and VARK learning styles were used to study the dominant personality trait and learning style. The results show that openness and agreeableness was the dominant personality trait. In addition, the extraversion personality trait has no relationship with any of the learning styles. On the other hand, a strong correlation exists between both openness to experience and the agreeableness personality trait with kinaesthetic learning style that further suggests that students who are more open and accept discussions are ready to learn when it involves teaching/learning based on a hands-on practical approach and as such learn by doing. Similarly, students with a conscientiousness personality have reading as their dominant learning style. Finally, the relationship between neuroticism and visual learning style are significant. Knowing students' learning style further helps educators to develop an effective teaching/ learning style as a rewarding one other than focusing on the traditional classroom environment.

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Abstract:XML technology is a technique to describe structured data that can be manipulated by different types of applications, especially to represent content on the Web. This paper presents a viable approach to automatically evolve a 'sorting program' by applying genetic programming and full syntax XML-based grammar definition to map the genotype to phenotype. The genotypes are composed of fixed-length blocks of genes that are made up of a series of integer values. The paper reports that our approach improves the structure of the grammar used in the mapping process, which guarantees that the generated program follows the correct syntax with no repair function, in comparison to earlier work. This allows more structured programs than earlier systems.

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This pioneering study is conducted among 150 employees from various ministries of Brunei Darussalam regarding their perception in maintaining the information security and to validate the IPV model using linear regression data analysis techniques. The IPV model identifies the factors that affect the user's perception of information values and to further assess as how these perceptions of information value affect their behavior in information security environment. The results show that IPV model have significant predicting power the employees' behavior with more than half of the variance (59%) in information value is shared by these six contextual variables. However, four out of six antecedent variables monetary value, ministerial jurisdiction, spiritual, and social values are significantly predicting the information value. The study has significant impact both for the researchers and practitioners and will add value to the current repository of broad knowledge in information security behavior.