<p><span lang="EN-US">Given the hypothesis that card games form a strong tool capable of shaping the aforementioned interest, this study has developed a card game called Math Zap as a pedagogical tool for numeracy skills development in the context of mental computation. It is geared towards investigating the efficacy of this Math Zap card game, in facilitating the development of numeracy skills amongst learners, and their attitude towards using it as a pedagogical tool. A mix method approach using an experimental and descriptive design was taken and tested amongst 34 primary school students aged 12 to 13. From the results of the study, it is found that the Math Zap card game is a highly effective learning tool in so far as the enhancement of students’ numeracy computation skills in the areas of fractions, percentages and decimals are concerned. This is evidenced by a statistical significant pre-post test score increment. Furthermore, students were rather positive and receptive towards the game, further substantiating the claim of it being a useful pedagogical tool.</span></p>
The high-failure of Calculus courses has bring dilemma to the educators worldwide. This study has focus on teaching and learning of Pre level Calculus courses. A well-d find the difficulties faced by both lecturers and students from the insights of the educators. From the survey, we find that lecturers confronted difficulties in teaching Pre by the lack of basic and visualization skills among students. They performance are moderate since they tend to memorize, instead of understand the concept. Indeed, most of them agree that the major problem of students is the poor foundation Calculus. Therefore, they have suggested three ideas which are changes of mindset among students, consult lecturers whenever students have problems and remedial class for the weak students.
Modern communication technologies, Internet protocols, tiny intelligence devices, Cloud/Fog computing have enabled the IoT explosion which will revolutionize the world we live in. IoT devices are mostly battery powered and hence their life mainly depends on their battery power. Energy harvesting is a viable alternative which can actually achieve a near-infinite lifetime for such wireless battery powered nodes. In this paper, we investigate the impact of energy-harvesting feature in IoT network. We extend the existing design of BeeSensor routing protocol, a swarm-intelligence (SI) based protocol, by adding energy harvesting capabilities to network nodes. We then perform empirical evaluations of the extended version, EHA-BeeSensor and compare its performance with the existing protocols. The results show that EHA-BeeSensor not only achieves near-infinite network lifetime, it also performs better in terms of packet delivery ratio, latency and routing overhead.
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