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This thesis articulates the development of a holistic approach to enhance learning and teaching in an object-oriented programming course. Starting with the premise that it is not possible to improve teaching without understanding how students learn programming, this thesis embodies the processes and reflections experienced while applying knowledge of how students learn programming, to design a learning environment that enhances learning outcomes. First, a theoretically based framework for the teaching of the course is developed. A holistic approach using a plurality of pedagogic theories, taxonomies, and instructional designs is employed to bridge the gaps between the bodies of knowledge relating to the ways that students approach programming and the application of this knowledge to design the course. Second, in two cycles of action research, the course is implemented and the analysis of its outcome is conducted using mixed methods data collection techniques. The evaluation is integrative and seeks multiple forms of evidence for student engagement and improved learning. The original contributions from this research in the form of new initiatives, perceptions, and understandings, as well as implications for theory and practice are described. A claim to knowledge is established by explaining the significance of the research to student learning, personal practice and beliefs, institutional influence, and potential for influence on computing education research. Quality criteria are applied to assess the validity and rigor of the action research project, and the research is appraised as a scholarly enquiry and a transformative process that led to innovative forms of thinking and acting

This thesis introduces, implements and evaluates an innovative concept for assessing driving behavior in public transportation through Mobile Crowd Sensing (MCS), under the field of Advanced Public Transportation System (APTS) - a sub-group of Intelligent Transportation Systems (ITS). Aggressive driving behavior is known to be a cause of avoidable accidents and to increase fuel consumption. In public transportations, it is also a case for costumers’ dissatisfaction. Monitoring the quality of driving behavior is a key element to overcome this issue and to improve road safety and customer satisfaction. In this research project, a software application (app) for mobile devices was developed as an experimental tool / proof-of-concept, to monitor aggressive driving behavior in bus drivers, collecting data coming from mobile device’s accelerometer and passengers’ qualitative evaluation. The experimental procedure took place in public transportation in Macau (bus only) and consisted of data collection of drivers’ aggressive driving behavior using the developed application. The analysis of collected data suggests that MCS is a viable way to assess drivers’ behavior in public transportation, thus contributing to the improvement of the service and increase of road safety. Although the methodology has been tailor-made for Macau public transportation, it is believed that the same concept can be applied to other cities, leading them towards the goal of becoming smarter cities. Keywords: driving behavior; mobile crowd sensing; crowdsourcing; smart city; advanced public transportation system; intelligent transportation system; road safety; mobile device accelerometer

Kruger and Dunning (1992) found that unskilled people were typically unaware of their own performance and ability. In this context, unskilled performers were shown to overestimate their performance and ability, whereas skilled performers often accurately predicted their own performance and ability. Such miscalibration in self-assessment is usually attributed to a lack of so-called metacognitive skills necessary for performance evaluation. However, it remains unknown to what extent the miscalibration of performance judgment and optimistic bias is observed in the Chinese culture. This thesis examines patterns of miscalibration of performance judgment and specific optimistic bias. This thesis also builds on a range of previous studies of performance judgment and optimistic bias. In order to investigate the performance judgment and optimistic bias in this context, two studies were conducted as part of the research aspect of this thesis. In the first study, participants were given a reasoning task on which they had to predict their performance before completing the task and estimate their performance upon completion of the task. The second study followed similar methodology, with two additional tasks – Institute For Tourism Studies (IFT) module and the respective midterm examination. Results from both studies indicate that biases in performance judgment occur in the Chinese culture, and may yield negative consequences to those persons who exhibit such judgments. Although metacognitive ability provides some explanation for the miscalibration of performance judgment, the results of the current study indicate that task optimistic bias provides another, equally viable explanation for the miscalibration of performance judgment. The findings presented in this thesis suggest that inaccurate judgments of performance occur within various domains (general and specific iii performance contexts) and that there are a range of implications associated with these biases. Keywords: Miscalibration of performance judgment, optimistic bias, absolute optimistic bias, comparative optimistic bias, overestimation, overplacement, underestimation, underplacement

Two billion users make Facebook of academic interest. This thesis creates a Facebook Divide Index, the delineated categories of Facebook Native, Facebook Immigrant, and Facebook Isolate, and develops Facebook inequality concepts. Macau has a fast- growing number of Facebook Immigrants who benefit from using the online social network. Data from participation-observation and surveys demonstrate social capital gain by Facebook Immigrants, with older generation Facebook users relatively happier than their younger counterparts. The thesis concludes that society needs to equip and empower the older generation or Facebook Isolates, so that they can benefit from online social network usage

Macau is a dynamic city with a unique blend of Eastern and Western cultures, which has become a well-known travel destination. Macau is not only home to the casinos, but also a shopping paradise, where we can find international luxury brands and local designer brands. The local fashion industry has a strong follower base, taking a different route than that of the Textile and Garment Industry in the 1980s. Nowadays, the local Fashion Industry is not only focused on production, but more on the design and creativity. Macau is a city rooted in the casino industry, having shifted from an industrial economy into a service-based one. This study aims to assess the relations between Asia and Europe with regard to their impact on the creative process of local fashion designers, to understand how local designers balance between market, creativity and aesthetics. Also, it is important to understand how Macau government supports local brands such as: “Made in Macau”. In order to accomplish our goal, several academic areas will be addressed, such as fashion design and the cultural and creative industries in their broad sense, (aesthetics, history, creativity, identity, economy, ergonomics, cognition, and social value). A mix of quantitative and qualitative methods have been used, including questionnaires, open-ended interviews, case-study research, ethnographic methods, historical research and visual methodologies. In the following chapters, this studies will describe mainly the Macau fashion industry in a globalized era and the multiculturalism’s influence on the local fashion designer’s collections