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The theory of planned behaviour attempts to explain factors which influence behaviour. One of these factors is intention. Positive or negative intentions are formed by a person's impression of the way other people would perceive similar behaviour (external forces). The authors of this study used the theory of planned behaviour to examine, compare and interpret the academic performance of students entering a university either via direct intake or via a bridging programme. This study focuses on the UniBridge programme offered by Universiti Brunei Darussalam (UBD), which is an intensive one-semester course that prepares students for undergraduate-level study. While direct-intake applicants pass minimum requirements for entry and are able to enroll directly into an undergraduate programme, applicants who do not meet these minimum requirements can join this bridging programme which is designed to be a "second-chance" entry option. Using a mixed-methods approach, the authors subjected student performance data of both direct-intake and bridge-programme undergraduates to statistical analyses, carried out interviews and then used the theoretical framework of planned behaviour to pinpoint individual attitudes and social pressures which form an intention to prepare for entry examinations. The results were mostly consistent and showed that the two groups were competitive in terms of undergraduate academic achievement, thus proving the second-chance programme to be effective in enabling students with poor A-Level results to experience academic confidence at university level. On the strength of these findings, the authors conclude their paper with recommendations for tertiary institutions to support lifelong learning initiatives through the use of multiple channels of entry.

Nowadays, many students access online resources using their mobile devices, substituting this for traditional learning interactions. However, the new concept of 'big data' in recent ICT discussions extends the promising research direction on online learning and big data integration. Big data promises content that can be tailored for each student based on the context and Internet behaviour of users in online learning. This study examines recent Internet activities and literacy in Brunei Darussalam (Brunei) relating to the Internet behaviour and online learning of residents. The study highlights milestones in terms of recent issues, challenges, and trends in Internet activities, focusing on online learning and its potential in the big data era. An extensive nationwide survey was conducted to ensure the reliability of the data. The survey revealed that people in Brunei expect and demand better learning services and experiences through an online learning system to improve literacy as well as the quality and efficiency of learning. Regardless of the limitations of the survey, the general public has shown great support for online learning systems. The results of the survey provide a solid argument for further research on big data in online learning by developing a framework incorporating the expectations of the people. Finally, the study provides a baseline for future studies of Internet adoption in Brunei. [ABSTRACT FROM AUTHOR]