Published Versions 1 Vol 3 (2) : 308-328 2021
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A Data Collection on Secondary School Students’ STEM Performance and Reading Practices in an Emerging Country
: 2021 - 01 - 19
: 2021 - 02 - 25
: 2021 - 02 - 25
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Abstract & Keywords
Abstract: Science, technology, engineering, and mathematics (STEM) education has become a critical factor in promoting sustainable development. Meanwhile, book reading is still an essential method for cognitive development and knowledge acquisition. In developing countries where STEM teaching and learning resources are limited, book reading is an important educational tool to promote STEM. Nevertheless, public data sets about STEM education and book reading behaviors in emerging countries are scarce. This article, therefore, aims to present a data set of 4,966 secondary school students from a school-based data collection in Vietnam. The data set comprises of five major categories: 1) students” personal information (including STEM performance), 2) family-related information, 3) book reading preferences, 4) book reading frequency/habits, and 5) classroom activities. By introducing the designing principles, the data collection method, and the variables in the data set, we aim to provide researchers, policymakers, and educators with well-validated resources and guidelines to conduct low-cost research, pedagogical programs in emerging countries.
Keywords: STEM education; Socio-economic status; Book reading; Emerging country; Students
Acknowledgments
Arauco, V.P., et al.: Explaining low redistributive impact in Bolivia. Public Finance Review 42(3), 326-345 (2014)
Confraria, H., Godinho, M.M.: The impact of African science: A bibliometric analysis. Scientometrics 102, 1241-1268 (2015)
Hien, P.D.: A comparative study of research capabilities of East Asian countries and implications for Vietnam. Higher Education 60, 615-625 (2010)
United Nations. Sustainable development goals — Quality Education. Available at: https://www.un.org/sustainabledevelopment/education/ (2020). Accessed 25 February 2021
Ritchie, S.J., Bates, T.C., Plomin, R.: Does learning to read improve intelligence? A longitudinal multivariate analysis in identical twins from age 7 to 16. Child Development 86(1), 23-36 (2015)
Rabiner, D.L., Godwin, J., Dodge, K.A.: Predicting academic achievement and attainment: The contribution of early academic skills, attention difficulties, and social competence. School Psychology Review 45, 250-267 (2016)
Evans, M., et al.: Scholarly culture and occupational success in 31 societies. Comparative Sociology 14(2), 176-218 (2015)
Pearson, P.D., Moje, E., Greenleaf, C.: Literacy and science: Each in the service of the other. Science 328(5977), 459-463 (2010)
Braun, H., et al.: Exploring what works in science instruction: A look at the eighth-grade science classroom. (Educational Testing Service, 2009) Available at: https://files.eric.ed.gov/fulltext/ED507837.pdf. Accessed 25 February 2021
Fang, Z., Wei, Y.: Improving middle school students” science literacy through reading infusion. The Journal of Educational Research 103(4), 262-273 (2010)
Australian Government Department of Education, Skills and Employment. Longitudinal surveys of Australian youth, 2015 cohort (Version 4.0). Dataverse. Available at: http://dx.doi.org/10.4225/87/PJO7GB (2017). Accessed 25 February 2021
United States Department of Education. National Household Education Survey, 2005 (ICPSR 4599). National Center for Education Statistics. Available at: https://doi.org/10.3886/ICPSR04599.v1 (2007). Accessed 25 February 2021
Ranjeeth, S., Latchoumi, T.P., Paul P.V.: Role of gender on academic performance based on different parameters: Data from secondary school education. Data in Brief 29, 105257 (2020)
John, T.M., et al.: The role of gender on academic performance in STEM-related disciplines: Data from a tertiary institution. Data in Brief 18, 360-374 (2018)
UNESCO Institute for Statistics. Sustainable Development Goal 4. (n.d.). Available at: http://data.uis.unesco.org/ Accessed 25 February 2021
OECD. PISA 2015 - Results in Focus. (2018). Available at: https://www.oecd.org/pisa/pisa-2015-results-in-focus.pdf Accessed 25 February 2021
OECD. PISA 2012 Results in Focus (2014). Available at: http://www.oecd.org/pisa/keyfindings/pisa-2012-results-overview.pdf. Accessed 25 February 2021
VNS. VN gets high scores but not named in PISA 2018 ranking. Available at: https://vietnamnews.vn/society/569454/vn-gets-high-scores-but-not-named-in-pisa-2018-ranking.html (2019). Accessed 25 February 2021
Vuong, Q.-H. The (ir)rational consideration of the cost of science in transition economies. Nature Human Behaviour 2, 5 (2018)
Ho, M.-T., et al.: An analytical view on STEM education and outcomes: Examples of the social gap and gender disparity in Vietnam. Children and Youth Services Review 119, 105650 (2020)
Le, T.-T.-H., et al.: Reading habits, socio-economic conditions, occupational aspiration and academic achievement in Vietnamese junior high school students. Sustainability 11, 5113 (2019)
Tran, T. et al.: The relationship between birth order, sex, home scholarly culture and youths” reading practices in promoting lifelong learning for sustainable development in Vietnam. Sustainability 11, 4389 (2019).
Munafò, M.R., et al.: A manifesto for reproducible science. Nature Human Behaviour 1, 1-9 (2017)
Vuong, Q.-H.: Reform retractions to make them more transparent. Nature 582, 149 (2020)
Vuong, Q.-H. Open data, open review and open dialogue in making social sciences plausible. Scientific data updates. Available at: http://blogs.nature.com/scientificdata/2017/12/12/authors-corner-open-data-open-review-and-open-dialogue-in-making-social-sciences-plausible/ (2017) . Accessed 25 February 2021
Vuong, Q.-H., et al.: A dataset on STEM performance and reading practices among secondary school students in Vietnam. Available at: https://doi.org/10.11922/sciencedb.j00104.00090 (2021). Accessed 25 February 2021
Halsey, L.G., et al.: The fickle P value generates irreproducible results. Nature Methods 12, 179-185 (2015).
John, L.K., Loewenstein, G., Prelec, D.: Measuring the prevalence of questionable research practices with incentives for truth telling. Psychological Science 23(5), 524-532 (2012)
Vuong, Q.-H. et al.: Bayesian analysis for social data: A step-by-step protocol and interpretation. MethodsX 7, 100924 (2020)
Vuong, Q.-H. et al.: Improving Bayesian statistics understanding in the age of Big Data with the bayesvl R package. Software Impacts 4, 100016 (2020).
La, V.-P., Vuong, Q.-H.: bayesvl: Visually learning the graphical structure of Bayesian networks and performing MCMC with “Stan”. The Comprehensive R Archive Network (CRAN). Available at: https://cran.r-project.org/web/packages/bayesvl/index.html, version 0.8.5 (2019). Accessed 25 February 2021
Article and author information
Cite As
Vuong, Q-H., et al.: A data collection on secondary school students’ STEM performance and reading practices in an emerging country. Data Intelligence 3(2), 308-328 (2021). doi: 10.1162/dint_a_00091
Quan-Hoang Vuong
Q.-H. Vuong (hoang.vuongquan@phenikaa-uni.edu.vn) designed the questionnaire, administeredthe data collection, and validated the data set.
Quan-Hoang Vuong (Ph.D., Université Libre de Bruxelles) is the director ofCentre for Interdisciplinary Social Research, Phenikaa University in Hanoi,Vietnam. He is chairman of the Vietnam Chapter of the European Associationof Science Editors and serves in the NAFOSTED Scientific Council on BasicResearch in the Social Sciences and Humanities (2019–2021). Dr. Vuong haspublished more than 160 academic articles and book chapters in about 60refereed journals and books by such publishers as Elsevier, Inderscience,Nature Publishing Group, Springer, Wiley, and World Scientific.
0000-0003-0790-1576
Viet-Phuong La
V.-P. La (phuong.laviet@phenikaa-uni.edu.vn) validatedand supervised the data input process. T.-T. Vuong (thutrang.vuong@sciencespo.fr) and H.-M. Vuong(vuonghamy2003@gmail.com) contributed to the data input and validation process.
Viet-Phuong La is a researcher at the Centre for Interdisciplinary SocialResearch, Phenikaa University, Hanoi, Vietnam, and a software engineer forA.I. for Social Data Lab, Vuong & Associates, Hanoi, Vietnam.
0000-0002-4301-9292
Manh-Toan Ho
M.-T. Ho (toan.homanh@phenikaa-uni.edu.vn) contributed to data input, validation process, and manuscript writing.
Manh-Toan Ho holds an MA at the National Economics University in Hanoi,Vietnam. He is working as a researcher in the Centre for InterdisciplinarySocial Research, Phenikaa University, Hanoi, Vietnam, and he is also a sciencecommunicator for EASE Vietnam SciComm/SSHPA (https://sc.sshpa.com/), inaddition to other media outlets in Vietnam.
0000-0002-8292-0120
Thanh-Hang Pham
T.-H. Pham(hang.pt.88@gmail.com) contributed to manuscript writing.
Thanh-Hang Pham holds a Master of Business Administration from Schoolof Business, La Trobe University, Melbourne, Australia, and is currently takingthe PhD program in RMIT Vietnam University, Hanoi, Vietnam.
0000-0002-7232-7948
Thu-Trang Vuong
V.-P. La (phuong.laviet@phenikaa-uni.edu.vn) validatedand supervised the data input process. T.-T. Vuong (thutrang.vuong@sciencespo.fr) and H.-M. Vuong(vuonghamy2003@gmail.com) contributed to the data input and validation process.
Thu-Trang Vuong is a graduate student at École doctorale of Sciences PoParis. She has worked on a varied range of topics, including entrepreneurshipin emerging countries, public health, education, political analyses of cultureand religion, with the aim of providing insights for policy-making.
0000-0002-7262-9671
Ha-My Vuong
V.-P. La (phuong.laviet@phenikaa-uni.edu.vn) validatedand supervised the data input process. T.-T. Vuong (thutrang.vuong@sciencespo.fr) and H.-M. Vuong(vuonghamy2003@gmail.com) contributed to the data input and validation process.
Ha-My Vuong is a research assistant for A.I. for Social Data Lab, Vuong &Associates, Hanoi, Vietnam.
0000-0002-3058-8015
Minh-Hoang Nguyen
M.-H. Nguyen (hoang.nguyenminh@phenikaa-uni.edu.vn) contributed to manuscript writing and software implementation.
Minh-Hoang Nguyen holds an MSc in Sustainability Science fromRitsumeikan Asia Pacific University, Beppu, Japan, where he now continueswith his PhD track. He works as a researcher in the Centre for InterdisciplinarySocial Research, Phenikaa University, Hanoi, Vietnam. His research interestis about psychological issues. He believes understanding human perceptionsis a fundamental approach for achieving sustainability in multiple disciplines.
0000-0002-7520-3844
Publication records
Published: July 9, 2021 (Versions1
References
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