Adaption of Smart Devices and Virtual Reality (VR) in Secondary Education R. K. A. R. Kariapper , P. Pirapuraj , M. S. Suhail Razeeth , A. C. M. Nafrees , and M. Fathima Roshan Abstract Learning is an essential process for all individual spans from cradle to graveyard. Biology is one of the subjects where most of the students have been facing difficulties to study and memorize its content due to its complicated environment and structures. The effective education to the students is necessary, and it could be achieved by adopting of new technological concepts and application to their syllabi. Virtual reality is one of the outstanding modes to the students to learn and memorize the subject quickly. In this research, quantitative and qualitative methods were used to determine the factors of adaption of smart devices and virtual reality (VR) in secondary education with a pretest–posttest group. Additionally, the reliability of the collected data was analyzed with Cronbach’s alpha test. Two hundred students from ten schools were randomly selected for the pretest while 100 were selected for the posttest among these 200 students; where these 100 students allowed to use VR technology for their educational purposes, and these samples were selected using a stratified random sampling technique. In conclusion, the research shows that the performance of the students who used the VR tool in their studies was significantly increased; male students are very fond of technology and tools, thus score more marks compare with female students. At the meantime, female students are needed to be trained (to use the VR system) more in order to learn the subjects. Also, it is suggested to introduce this VR system to all the other subjects with proper training R. K. A. R. Kariapper (B ) · P. Pirapuraj · M. S. Suhail Razeeth · A. C. M. Nafrees · M. Fathima Roshan South Eastern University of Sri Lanka, Oluvil, Sri Lanka e-mail: rk@seu.ac.lk P. Pirapuraj e-mail: pirapuraj@seu.ac.lk M. S. Suhail Razeeth e-mail: razeethsuhail@gmail.com A. C. M. Nafrees e-mail: nafrees@seu.ac.lk M. Fathima Roshan e-mail: roshanmajeedfas@seu.ac.lk © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 H. Sharma et al. (eds.), Intelligent Learning for Computer Vision, Lecture Notes on Data Engineering and Communications Technologies 61, https://doi.org/10.1007/978-981-33-4582-9_43 553