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

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.

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.

Olaleke Janet

Co-Author

Janet is a lecturer at the Department of Computer Science, Adeyemi College of Education, Ondo, Nigeria. Her research interest is in biomedical image processing. She bagged a B.Tech and an M.Tech in Computer Science at Ladoke Akintola University of Technology, Ogbomoso and the Federal University of Technology, Akure respectively.

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.