An Exploratory Study of Perceptions on Science and Technology Evidence from World Values Survey
DOI:
https://doi.org/10.23918/ijsses.v10i2p324Keywords:
Gender, Age, Education, Science and Technology, World Values SurveyAbstract
The acceptance and perceptions of science and technology in our lives is a complex issue that is influenced by a variety of factors such as gender, age, and education. This research aims to explore these factors and their impact on the acceptance of the positive side of science and technology. Data from the World Values survey seventh wave was taken to analyze the same. A total of 59 countries’ data was available with 40,643 male and 44,724 female respondents. The Independent Sample T Test and ANOVA were used to explore the variances. A cross National examination was conducted where it was explored that there were significant levels of acceptance among the 59 countries based on the Mean values of the variable Science and Technology are making our lives healthier, easier, and more comfortable besides, it was found that education plays a significant role in shaping an individual’s perspective towards science and technology. Those with higher levels of education tend to have a more positive view and are more likely to accept science and technology in their lives. Age was also found to be a significant factor, with older individuals being less likely to embrace modern technologies compared to younger individuals. Gender was found to have a weaker impact on the acceptance of science and technology, with the research indicating that both men and women can have either a positive or negative view of it. The research concludes that education appears to be the most significant factor influencing the acceptance of science and technology, followed by age, with gender having a weaker impact. Policymakers need to understand these factors and work towards increasing science and technology literacy in order to facilitate its widespread adoption.
References
Ankiewicz, P., De Swardt, E., & De Vries, M. .. (2006). Some implications of the philosophy of technology for science, technology and society (STS) studies. International Journal of Technology and Design Education, 16(2), 117-141.
Baram‐Tsabari, A., & Yarden, A. (2005). Characterizing children’s spontaneous interests in science and technology. International Journal of Science Education, 27(7), 803-826.
Bessi, A., & Ferrara, E. (2016). Social media dynamics in the age of misinformation. Journal of the Association for Information Science and Technology, 67(12), 2740-2752.
Brooks, H. (1994). The relationship between science and technology. Research policy, 23(5), 477-486.
Buchanan, T., & Kempley, J. (2021). Individual differences in sharing false political information on social media: Direct and indirect effects of cognitive-perceptual schizotypy and psychopathy. Personality and Individual Differences, 182, 111071. doi:https://doi.org/10.1016/j.paid.2021.111071
Ceci, S. J., & Williams, W. M. (2009). The mathematics of sex: How biology and society conspire to limit talented women and girls. Oxford University Press.
Chakraborty, K., Bhatia, S., Bhattacharyya, S., Platos, J., Bag, R., & Hassanien, A. E. (2020). Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media. Applied Soft Computing, 97, 106754. doi:https://doi.org/10.1016/j.asoc.2020.106754
Confessore, N. (2018, April 4). Cambridge Analytica and Facebook: The Scandal and the Fallout So Far. Retrieved from The New York Time: https://nytimes.com/2018/04/04/us/politics/cambridge-analytica-scandal-fallout.html
Dasgupta, N., & Stout, J. G. (2014). Girls and women in science, technology, engineering, and mathematics: STEMing the tide and broadening participation in STEM careers. Policy Insights from the Behavioral and Brain Sciences, 1(1), 21-29.
Ding, X., Xu, J., Chen, G., & Xu, C. (2016). Beyond smartphone overuse: identifying addictive mobile apps. Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, (pp. 2821-2828).
Escoffery, C. (2018). Gender Similarities and Differences for e-Health Behaviors Among U.S. Adults. Telemedicine and e-Health, 24(5), 335–343. doi:doi:10.1089/tmj.2017.0136
Farenga, S. J., & Joyce, B. A. (1999). Intentions of young students to enroll in science courses in the future: An examination of gender differences. Science education, 83(1), 55-75.
Gonzalez, H. B. (2021). Science, technology, engineering, and mathematics (STEM) education: A primer. Washington, DC: Congressional Research Service, Library of Congress.
House of Commons Digital, Culture, Media and Sport Committee.. (2019). Disinformation and ‘fake news’: Final report. London: House of Commons. Retrieved from https://publications.parliament.uk/pa/cm201719/cmselect/cmcumeds/1791/1791.pdf
Jabour, A., Rehman, W., Idrees, S., Thanganadar, H., Hira, K., & Alarifi, M. (2021). The adoption of mobile health applications among University students in health colleges. Journal of Multidisciplinary Healthcare, 14, 1267–1273.
Kang, J., Hense, J., Scheersoi, A., & Keinonen, T. (2019). Gender study on the relationships between science interest and future career perspectives. International Journal of Science Education, 41(1), 80-101.
Kelley, T. R., & Knowles, J. G. (2016). A conceptual framework for integrated STEM education. International Journal of STEM education, 3(1), 1-11.
Knopes, J. (2019). Science, Technology, and Human Health: The Value of STS in Medical and Health Humanities Pedagogy. Journal of Medical Humanities.
Konrad, A. M., Ritchie Jr, J. E., Lieb, P., & Corrigall, E. (2000). Sex differences and similarities in job attribute preferences: a meta-analysis. Psychological bulletin, 126(4), 593.
Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in human behavior, 31, 373-383.
López-Iñesta, E., Botella, C., Rueda, S., Forte, A., & Marzal, P. (2020). Towards breaking the gender gap in Science, Technology, Engineering and Mathematics. IEEE, 15(3), 233-241.
McNeil, I. (2002). An Encyclopedia of the History of Technology. (I. McNeil, Ed.) Taylor & Francis.
Monge Roffarello, A., & De Russis, L. (2019 ). The race towards digital wellbeing: Issues and opportunities. In Proceedings of the CHI conference on human factors in computing systems, (pp. 1-14).
Neuhaus, C. (2006). Age and the Internet: A review of the literature. International Journal of Human-Computer Studies, 64(3), 257-268.
Nougayrède, N. (2018, 1 31). In this age of propaganda, we must defend ourselves. Here’s how. Retrieved 3 20, 2022, from theguardian: https://theguardian.com/commentisfree/2018/jan/31/propaganda-defend-russia-technology
Perignat, E., & Katz-Buonincontro, J. (2019). STEAM in practice and research: An integrative literature review. Thinking Skills and Creativity, 31, 31–43.
Posetti, J. &. (2018). A short guide to the history of ‘fake news’ and disinformation. International Center for Journalists.
Posetti, J. (2018). News industry transformation: digital technology, social platforms and the spread of misinformation and disinformation. Journalism,‘fake news’ and disinformation: A handbook for journalism education and training. Unesco.
Rich, E. (2018). Gender, health and physical activity in the digital age: between postfeminism and pedagogical possibilities. SPORT, EDUCATION AND SOCIETY, 23(8), 736-747. doi:10.1080/13573322.2018.1497593
Talla, A. (2020). Handbook of Research on Digital Devices for Inclusivity and Engagement in Libraries. IGI Global. doi:10.4018/978-1-5225-9034-7
Thorpe, R. (2015). Understanding the Impact of Education on Society. In Education Matters (pp. 1-15). Springer. https://doi.org/10.1007/978-1-4471-6444-5_1
Turkle, S. (1995). Life on the Screen: Identity in the Age of the Internet. Simon & Schuster.
UNDP. (2015). Sustainable Development Goals. Retrieved from United Nation Development Program: https://undp.org/sustainable-development-goals#:~:text=The%20Sustainable%20Development%20Goals%20(SDGs)%2C%20also%20known%20as%20the,people%20enjoy%20peace%20and%20prosperity.
Vanden Abeele, M. M. (2021). Digital wellbeing as a dynamic construct. Communication Theory, 31(4), 932-955.
Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 259, 1146–1151.
Wang, M. T., & Degol, J. L. (2017). Gender gap in science, technology, engineering, and mathematics (STEM): Current knowledge, implications for practice, policy, and future directions. Educational psychology review, 29(1), 119-140.
Wang, M. T., & Degol, J. L. (2017). Gender gap in science, technology, engineering, and mathematics (STEM): Current knowledge, implications for practice, policy, and future directions. Educational psychology review, 29(1), 119-140.
Wartella, E., Rideout, V., Montague, H., Beaudoin-Ryan, L., & Lauricella, A. (2016). Teens, Health and Technology: A National Survey. Media and Communication, 4(3), 13-23.
Webster, A., & Wyatt, S. (2020). Health, technology and society. Singapore: Springer.
Wei, X., Zhang, Z., Zhang, M., Chen, W., & Zeng, D. D. (2019). Combining Crowd and Machine Intelligence to Detect False News on Social Media. MIS Quarterly.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Social Sciences & Educational StudiesInternational Journal of Social Sciences & Educational Studies applies the
Creative Commons Attribution-NonCommercial 2.0 Generic Licence (CC BY-NC 2.0)