Usage of Zoom Cloud Meeting for Virtual Meetings and E-Learning

 

SUMMARY

The world is facing unprecedented times with the global Covid-19 pandemic. Schools, businesses, and recreational centers' activities are continuously suspended until there is a sharp noticed containment of the deadly disease. With strict social distancing measures in place, it has become imperative for all and sundry to catch up with the paradigm shift to virtual meetings for productivity, sustainability, and job retention. Various technologies have been developed by the IT industry or educational institutes to facilitate remote learning and meetings. This paper introduces the zoom cloud meeting (ZCM) technology as a sophisticated electronic tool to help make a seamless transition from a face-to-face meeting to a virtual meeting and its features that makes it well suited for distance education. This paper uses ACTIONS framework to describe the selection, use, and features of ZCM as educational technology. Relevant and useful recommendations are given to users and intending users.

Keywords: Zoom Cloud Meeting (ZCM), Technology, Remote Learning, Remote Meetings, Zoom.us



ABOUT THE AUTHORS

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Dr. Kehinde Emmanuel ADENEGAN

Corresponding Author

Adenegan is a First class honours degree holder in Mathematics Education from Adeyemi College of Education Ondo (OAU) where he currently lectures. He has Masters and Ph.D degree in Mathematics (Financial Mathematics) from the University of Ibadan. At present, he is the Acting Director of the Adeyemi College Management Information Systems Directorate. He is a recipient of both local, national and international scholarships. Adenegan, a member of the Green initiative, has travelled far and near to four major continents of the world for academic conferences, educational trainings and socio-cultural activities. His research interests are on Mathematics - financial Mathematics, numerical methods and Mathematics Education- Ethno-mathematics, mathematics drama and early child. Reading, listening to radio broadcast, watching movies and surfing the net are his hobbies.


Abiodun Oladoyin Anthony

Co-Author

Abiodun is a graduate of Computer Engineering from the University of Benin, Edo State Nigeria where he had an outstanding performance at masters level in the same field. He worked as Network Engineer at Adeyemi College of Education Management Information Systems Directorate in the beginning of his career and was later appointed a lecturer in the Department of Computer Science in the same Institution. His areas of research interest include machine learning and deep learning with networking and data management as secondary option.


 

Factors Responsible for Gender Difference in Computer Science

 

SUMMARY OF THE CHAPTER

The effect of gender on the academic performance of Computer Science students cannot be overemphasised. Several studies have shown that the Computer Science field is predominantly for males and that females often lack interest, had low self-efficacy, were less confident of their ability and thus performed lower than their male counterpart in Computer Science courses most especially those that involved mathematics and programming. This obtuse discrimination has a lot of negative consequences on women and the general public by making them less savvy consumers of information, and more likely to be exploited, deceived, or utterly confused by pseudo-scientific claims. Hence, this study examined the factors responsible for the gender difference in the performance of Computer Science students. This is to achieve the sustainable development goals of gender equality as well as empowerments of girls and women in Computer Science. A wide range of studies relating to gender and performance of students in Computer Science were searched in three scientific electronic databases namely CiteseerX, Science Direct and Google scholar and the Google search. The study showed that ability, persistence, anxiety and interest are some of the factors responsible for gender differences amongst Computer Science students.


 

ABOUT THE AUTHORS

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Dr. Iroju Olaronke

Corresponding Author

Olaronke has a B.Sc. in Computer Technology at Babcock University, Nigeria. She also has M.Sc and PhD in Computer Science at Obafemi Awolowo University, Nigeria. Dr. Iroju is a lecturer at the Department of Computer Science, Adeyemi College of Education, Ondo, Nigeria. Her research interest is in health informatics.


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OLAWUYI N.J

Co-Author

Joy is a lecturer at the Department of Computer Science, Adeyemi College of Education, Ondo, Nigeria. Her research interest is in biomedical image processing. She is pursuing a PhD degree in Computer Science at Obafemi Awolowo University,
Ile-Ife.  She bagged B.Sc and M.Sc. in Computer Science at the
University of Ibadan.


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IDOWU C.S

Co-Author

Idowu is a lecturer at the Department of Computer Science, Adeyemi College of Education, Ondo, Nigeria. He bagged his B.Sc. and M.Sc. degrees in Computer Science at the University of Ibadan.