What Generation Z Knows About Emerging Technologies and Technological Risks: Views of Japanese and Filipino Students
Journal: International Journal of Scientific Engineering and Science (Vol.4, No. 5)Publication Date: 2020-06-15
Authors : Dave E. Marcial;
Page : 46-51
Keywords : ICT in education; computer ethics; technological risks; emerging technologies; eLearning;
Abstract
This paper describes the views of Generation Z about emerging technologies and the associated risks. Specifically, it presents the level of familiarity with the twelve key emerging technologies among Japanese and Filipino students. Likewise, it presents the likelihood level of the emerging technologies to bring positive and severe adverse consequences within the next ten years as perceived by the respondents. The study was descriptive using random sampling. Fifteen students were selected in a Japanese school and 19 students in a Philippine school. An online survey questionnaire was utilized, which was based on The Global Risks Report 2017. The result shows that the Filipino respondents are better in terms of the aggregate mean of the familiarity level with the emerging f positive benefits of the technologies in the next ten years. It has an aggregate mean of 4.83 for Japanese and 4.84 for Filipino students, described as somewhat likely. The result shows that the Filipinos perceived a higher likelihood that these technologies would provide severe negative consequences to society in the next ten years, with a mean of 3.76. The study concludes that Filipino students have a better familiarity but have a higher regard for the negative consequences than the Japanese students. Both students have the same beliefs that technology can bring positive benefits within the next ten years. There should be an advocacy program on digital citizenship in both universities
Other Latest Articles
- English Competency and Factors Affecting the Speaking Performance of College Students
- Analysis of the Influence of Personal Factors on the Consumption of Contemporary College Students
- Investigating the Effectiveness of Manual Drum Pulper on Genotypes of Robusta Coffee (Coffea canephora L.) for Seed Production
- Common Distributed Data Storage for Higher Education Management Information System in Afghanistan
- The Role of Machine Translators in Academic Translation Teaching
Last modified: 2020-08-16 18:12:42