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Activities conducted in classrooms are important to acquire students’ understanding and participation in a learning environment. Some of perceived barriers that prevent students to participate in classroom activities include difficulty to speak, shy, fear to interact or provide comments. This paper focuses on using Padlet for e-learning and presents the activities of engaging and stimulating students in active learning. This is one way of how instructors can obtain information from each student by encouraging participation. The research employs quantitative approach. A semi-structured questionnaire was distributed among 39 postgraduate students who enrolled in the Business Statistics for Data Science course. Factors such as motivation, active learning, collaboration, learning opportunity, usefulness, ease of use, and satisfaction were used to measure their engagement. The findings show that active learning through Padlet has a significant effect on improving students’ engagement in classroom activities.

This paper studies a comparison of optimization algorithms to enhance temperature control method of thermal vacuum chamber (TVC) for satellite testing. The gaseous nitrogen (GN2) is used in TVC to control the temperature requirement and proportional integral derivative (PID) controller is adopted in order to realize it. However, the temperature profile is fluctuated and more time is needed before it managed to achieve the temperature set point. Therefore, a study is done to identify the algorithms that can be applied to optimize the temperature control system of TVC. The study is aim to improve the current temperature control in terms of settling time and overshoot.  The method used in the review is by comparing the optimization algorithms that have been used to optimize the temperature control system. The study will be done using other related works that had been done by other researchers. From the review that has been done, the genetic algorithm (GA) is believed to be the best method that can be implemented into the temperature control system of TVC.  In the future, the study will further analyse by using simulation tools and real time data generated by the TVC.

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Although many universities have established Technology Transfer Office (TTO), there is no consensus in the literature that TTO has been successful in promoting academic entrepreneurship. Inhomogeneity of TTO services across different universities results in an inconsistent relationship between TTO formation and the rate of technology transfer activities. The TTO efficiency has been mostly researched based on the objective measures. However, far too little attention has been paid to explore the perception of academic entrepreneurs on the degree to which TTO has been efficient in greasing the wheels of their technology transfer pursuit. This paper aims to conceptualize TTO efficiency as a formative construct and to validate the proposed measurement model using partial least squares structural equation modeling (PLS-SEM). The empirical results confirmed the absence of collinearity while validity was established using a modified multitrait–multimethod (MTMM) matrix analysis. Furthermore, the indicators’ weights revealed which constituent services provided by TTO benefit academic entrepreneurs the most. This study contributes new insights into academic entrepreneurs' perception towards the effectiveness of TTO services that further pave a way for the university to prioritize improvement measures