Abstract-Analysis of the office workers' activities of daily working in an intelligent office environment can be used to optimize energy consumption and also office workers' comfort. To achieve this end, it is essential to recognise office workers' activities including short breaks, meetings and non-computer activities to allow an optimum control strategy to be implemented. In this paper, fuzzy finite state machines are used to model an office worker's behaviour. The model will incorporate sensory data collected from the environment as the input and some pre-defined fuzzy states are used to develop the model. Experimental results are presented to illustrate the effectiveness of this approach. The activity models of different individual workers as inferred from the sensory devices can be distinguished. However, further investigation is required to create a more complete model. Index Terms-ubiquitous and pervasive computing, ambient intelligence, fuzzy finite state machines, intelligent environments, intelligent offices, energy saving.
The application of technology innovation is rapidly increasing in industries and educational institutions. This phenomenon has led to the emergence of Technology Enabled/Enhanced Active Learning (TEAL) which emphasizes the use of various techniques and technologies. TEAL is a new learning format that combines educational content from a lecturer, simulation, and student’s experiences using technological tools to provide a rich collaborative learning experience for students. This approach is used to provide academic professional development that brings innovation to the learning content, practically by using pedagogy, technology and classroom design. TEAL ensures the enhanced development of student's knowledge and skills in order to produce quality skilful workers with adequate employability skills. Technology is an effective tool used to facilitate the teaching and learning process, which can, in turn, create an active environment for students to build their knowledge, skill and experience. This paper determines the elements of TEAL based on interview sessions with expert academicians and from a systematic literature review. The selection of TEAL elements for this study was carried out using thematic analysis approach. Findings show that these TEAL elements would help institutions to promote students in involving themselves in active learning in order to enhance the quality of graduates in improving their technical knowledge, thereby enhancing their employability skills.
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