Research Article

Predicting affective and cognitive learning outcomes: A quantitative analysis using climate change vectors

Usani Joseph Ofem 1 * , Esther Chidirem Nworgwugwu 2 , Sylvia Victor Ovat 2 , Pualina Mbua Anake 2 , Nnyenkpa Ntui Anyin 2 , Maryrose Ify Udeh 2 , Roseline Anyiopi Undie 2
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1 Alex Ekwueme Federal University, Ndufu-Alike, Ikwo, NIGERIA2 University of Calabar, Calabar, NIGERIA* Corresponding Author
Eurasian Journal of Science and Environmental Education, 4(1), 2024, 1-12,
Published: 25 March 2024
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Recent changes in the atmospheric conditions have exerted a lot of pressure on the surface of the earth causing attitudinal change, fear of survival as well as pattern of living. Schools are not out of these influences from the changes in climatic conditions. These study, therefore. examines the nexus between climate change vectors such as classroom temperature variation, persistent drought, severe flood occurrence on class attendance, class participation and academic performance among secondary school students. The study adopted an ex post facto research design, and a total of 1,881 were used for data collection. Two research instruments, the climate change variation scale and class attendance, class participation, and academic performance scale were used for data collection. The instrument was validated using factor analysis to assess the dimensionality of the items as well as obtain factors using component analysis and varimax rotation. To assess principal the mode fitness and acceptability, the confirmatory factor analysis (CFA) was carried out using the maximum likelihood estimation method, and the factor loadings from exploratory factor analysis and CFA were not too different. The collected data were analyzed using the simple and multilinear regression techniques. The results showed that relatively, persistent, severe flooding and classroom temperature variation contributes significantly to class participation, class attendance, and academic performance among students. Similarly, the variables; severe flood, drought and classroom temperature when compositely examined contributes to the variation in class attendance, class participation and academic performance among students. Implications and recommendations of the study were stated.


Ofem, U. J., Nworgwugwu, E. C., Ovat, S. V., Anake, P. M., Anyin, N. N., Udeh, M. I., & Undie, R. A. (2024). Predicting affective and cognitive learning outcomes: A quantitative analysis using climate change vectors. Eurasian Journal of Science and Environmental Education, 4(1), 1-12.


  1. Abbasi, S. S., & Shaukat, B. (2013). The effects of 2010 flood on educational institutions and children schooling in Khyber Pukhtoonkhwa: A study of Charsadda and Swat Districts. International Journal of Environment, Ecology, Family and Urban Studies, 3(3), 1-12.
  2. Alberto, A., Yang, J., & Xiaohan, Z. (2021). Too hot or too cold to study? The effect of temperature on student time allocation. Economics of Education Review, 84, 102152.
  3. Amogne, A., & Tessema, W. (2017) Effect of El Niño induced drought on students’ academic performance: a case study in Borena woreda of South Wollo Zone, Ethiopia. International Journal of Academic Research in Education and Review. 5(2), 37-47. http://doi.10.14662/IJARER2017.007
  4. Anderson, A. (2011). Education must play a part in combating climate change. Brookings Institute Publishing.
  5. Anderson, G. B., Dominici, F., Wang, Y., McCormack, M. C., Bell, M. L., & Peng, R. D. (2013). Heat-related emergency hospitalizations for respiratory diseases in the medicare population. American Journal of Respiratory and Critical Care Medicine, 187, 1098-1103.
  6. ANSI/ASHRAE. (2004). Ventilation for acceptable indoor air quality. American Society of Heating, Refrigerating and Air-Conditioning Engineers.
  7. Ardyn, N., & Christopher, C. (2020). Impact of a severe drought on education: More schooling but less learning. SSRN.
  8. ASHRAE. (2017). Standard 55-2017. Thermal environmental conditions for human occupancy. ASHRAE.
  9. Blanton, E., Ombeki, S., Oluoch, G., Mwaki, A., Wannemuehler, K., & Quick, R. (2010). Evaluation of the role of school children in the promotion of pointof-use water treatment and handwashing in schools and households–Nyanza Province, Western Kenya. American Journal of Tropical Medicine and Hygiene, 82, 664-671.
  10. Cadag, J. R. D., Petal, M., Luna, E., Gaillard, J. C., Pambid, L., & Santos, V. (2017). Hidden disasters: Recurrent flooding impacts on educational continuity in the Philippines. International Journal of Disaster Risk Reduction, 25, 72-81.
  11. Chaudhary, G., & Timsina, T. P. (2017). Impact of flood on performance of students: The case of secondary school students in Jaleshwor Municipality, Mahottari. Journal of Advanced Academic Research, 4(1), 12-26.
  12. Coates, L., Haynes, K., O’Brien, J., McAneney, J., & De Oliveira, F. D. (2014). Exploring 167 years of vulnerability: An examination of extreme heat events in Australia 1844-2010. Environmental Science & Policy, 42, 33-44.
  13. Daimary, N. (2022). Musa acuminata peel: A bioresource for bio-oil and by-product utilization as a sustainable source of renewable green catalyst for biodiesel production. Renewable Energy, 187, 450-462.
  14. Danyelle, B., & Gustavo, J. (2007). Droughts shock and school performance in Brazilians rural schools.
  15. Dariya, H., Abdussalam, A., & Saleh, Y. (2021). Relationship between seasonal weather variation and students’ academic performance in Kaduna State University, Nigeria. Science World Journal, 16(2), 152-156.
  16. Davis, W. D. (2009). What does green mean? Anthropogenic climate change, geo-engineering and international environmental law. Georgia Law Review, 43(3), 901-915.
  17. de Souza, E. C., Coelho, A. B., de Lima, J. E., da Cunha, D.A., & Féres, G. J. (2013). Impactos das mudanças climáticas sobre o bem-estar relacionado à saúde no Brasil [Impacts of climate change on health-related well-being in Brazil]. Pesquisa e Planejamento Econômico [Research and Economic Planning], 43, 49-87.
  18. Deschênes, O., & Moretti, E. (2009). Extreme weather events, mortality, and migration. Review of Economics and Statistics, 91, 693-713.
  19. Doherty, T. J., & Clayton, S. (2011). The psychological impacts of global climate change. American Psychological Association, 66(4), 265-276.
  20. Elbayoumi, M., Ramli, N. Z., Yusof, N. F. F., & Al Madhoun, W. (2015). Seasonal variation in school’s indoor air environments and health symptoms among students in an Eastern Mediterranean climate. Human and Ecological Risk Assessment, 21, 184-204.
  21. Gibbs, L., Nursey, J., Cook, J., Ireton, G., Alkemade, N., Roberts, M., Gallagher, H. C., Bryant, R., Block, K., Malyneaux, R., & Forbes, D. (2019). Delayed disaster impacts on academic performance of primary school children. Child Development, 90(4), 1402-1412.
  22. Gitau, D. (2013). Impact of drought on primary schools learning in Laikipia West District of Laikipia County, Kenya [Unpublished master’s thesis]. Kenyatta University.
  23. Hallegatte, S., Hourcade, J. C., & Dumas, P. (2007). Why economic dynamics matter in assessing climate change damages: Illustration on extreme events. Ecological Economics, 62, 330-340.
  24. Haverinen-Shaughnessy, U., & Shaughnessy, R. J. (2015). Effects of classroom ventilation rate and temperature on students’ test scores. PLoS ONE, 10(8), e0136165.
  25. Hayati, D., Yazdanpanah, M., & Karbalaee, F. (2010). Coping with drought. Psychology and Developing Societies, 22(2), 361-383.
  26. Hoddinott, J., & Kinsey, B. (2001). Child growth in the time of drought. Oxford Bulletin of Economics and Statistics, 63(4), 409-436.
  27. Hyndman, B. (2017). Does bad weather affect academic performance. The Conversation Online Bulletin.
  28. Isaac, J. (2014). Drought related factors and academic outcome among students [Unpublished undergraduate study, University of Calabar, Nigeria].
  29. Ivan, C., Yang, J., & Xiaohan, Z. (2021). Too hot or too cold to study? The effect of temperature on student time allocation. Economics of Education Review, 84, 102152.
  30. Jamila, A., Buhari, S., & Iheoma, E. (2018). The effects of harmattan season in the Federal College of Education, Zaria [Essay submition]. Federal College of Education, Zaria.
  31. Jensen, R. (2000). Agricultural volatility and investments in children. American Economic Review, 90(2), 399-404.
  32. Jiang, J., Wang, D. J., Liu, Y. F., Xu, Y. C., & Liu, J. P. (2018). A study on pupils’ learning performance and thermal comfort of primary schools in China. Building and Environment, 134, 102-113.
  33. Kline, R. B. (2016). Principles and practice of structural equation modeling (4th edn.). The Guilford Press.
  34. Kreft, S., Eckstein, D., Junghans, L., Kerestan, C., & Hagen, U. (2014). Global climate risk index 2015: Who suffers most from extreme weather events? Berlim.
  35. Kumar, A. R., & Raghav, A. A. (2018). A case study on the flood situation of Assam State. International Research Journal of Engineering and Technology, 5(5), 4192-4194.
  36. Kumar, P. (2021). Climate change and cities: Challenges ahead. Frontiers in Sustainable Cities, 3, 645-613.
  37. Kumar, P., & Imam, B. (2013). Footprints of air pollution and changing environment on the sustainability of built infrastructure. Science of the Total Environment, 444, 85-101.
  38. Kundzewicz, Z. W., Kanae, S., Seneviratne, S. I., Handmer, J., Nicholls, N., Peduzzi, P., & Mach, K. (2014). Flood risk and climate change: Global and regional perspectives. Hydrological Science Journal, 59 (1), 1-28.
  39. Liu, H., Wu, Y. X., Li, B. Z., Cheng, Y., & Yao, R. M. (2017). Seasonal variation of thermal sensations in residential buildings in the hot summer and cold winter zone in China. Energy and Buildings, 140, 9-18.
  40. Lumbroso, D. (2020). Flood risk management in Africa. Journal of Flood Risk Management, 13(3), e12612.
  41. Lynn, M. (1986). Determination and quantification of content validity index. Nursing Research, 35, 382-386.
  42. Ma, Q., Qi, Y., Shan, Q., Liu, S., & He, H. (2020). Understanding the knowledge gaps between air pollution controls and health impacts including pathogen epidemic. Environmental Research, 189, 109949.
  43. Maccini, S., & Yang, D. (2009). Under the weather: Health, schooling, and economic consequences of early-life rainfall. American Economic Review, 99, 1006-1026.
  44. Maione, M., Fowler, D., Monks, P. S., Reis, S., Rudich, Y., Williams, M. L., et al. (2016). Air quality and climate change: Designing new win-win policies for Europe. Environmental Science & Policy, 65, 48-57.
  45. Marengo, J. (2009). Mudanças climáticas e eventos extremos no Brasil [Climate change and extreme events in Brazil].
  46. Masih, I., Maskey, S., Mussa, F. E. F., & Trambauer, P. (2014). A review of droughts on the African continent: A geospatial and long-term perspective. Hydrology and Earth System Sciences, 18(9), 3635-3649.
  47. Mendell, M., & Heath, H. (2005). Do indoor pollutants and thermal conditions in schools influence student performance? A critical review of the literature. Indoor Air, 15, 27-52.
  48. Mudavanhu, C. (2014). The impact of flood disasters on child education in Muzarabani District. Jamba: Journal of Disaster Risk Studies, 6(1), a138.
  49. Mudavanhu, C. (2015). The impact of flood disasters on child education in Muzarabani District, Zimbabwe. Jamba: Journal of Disaster Risk Studies, 6(1), 138.
  50. Munonye, C. (2020). The influence of seasonal variation of thermal variables on comfort temperature in schools in a warm and humid climate. Open Access Library Journal, 7, e6753.
  51. Munonye, C., & Ji, Y. C. (2017). Rating the components of indoor environmental quality in students classrooms in warm humid climate of Uli, Nigeria. In Proceedings of the 13th International Postgraduate Research Conference.
  52. Nkeiruka, F. (2014). Climate change and implication for senior secondary school financial accounting curriculum development in Nigeria. Journal of Education and Practice, 5(26), 153-157.
  53. Phan, T. V. (2021). The effect of the difference in the perception of temperature between sexes on the academic performance of Chapin High School students. Journal of the South Carolina Academy of Science, 19(1), 83-94.
  54. Phuloma, D. (2020). Effect of flood on students during COVID-19 pandemic. International Journal of Management, 11(12), 436-442.
  55. Rocha, R., & Soares, R. R. (2015). Water scarcity and birth outcomes in the Brazilian semiarid. Journal of Development Economics, 112, 72-91.
  56. Sambo, M. N. (2010). A paper presented at a round table discussion, at the Second Lagos State Summit on Climate Change, on May 4, 2010. Daily Sun Newspapers.
  57. Satish, U., Mendell, M., Shekhar, K., Hotchi, T., Sullivan, D., Streufert, S., & Fisk, W. J. (2012). Is CO2 an indoor pollutant? Direct effects of low-to-moderate CO2 concentrations on human decision-making performance. Environmental Health Perspectives, 120, 1671-1677.
  58. Schmuck, H. (2020). Rural flooding, the Zambezi River in Mozambique.
  59. Shi, Y. Q., & Qu, S. W. (2021). Cognition and academic performance: Mediating role of personality characteristics and psychology health. Frontiers in Psychology, 12, 774548.
  60. Sun, S., Tian, L., Cao, W., Lai, P. C., Wong, P. P. Y., Lee, R. S. Y., Mason, T. G., Kramer, A., & Wong, C.-M. (2019). Urban climate modified short-term association of air pollution with pneumonia mortality in Hong Kong. Science of the Total Environment, 646, 618-624.
  61. Sundell, J., Levin, H., Nazaroff, W., Cain, W., Fisk, W., Grimsrud, D., Gyntelberg, F., Li, Y., Persily, A. K., Pickering, A. C., Samet, J. M., Spengler, J. D., Taylor, S.T., & Weschler, C. J. (2011). Ventilation rates and health: Multidisciplinary review of the scientific literature. Indoor Air, 21, 191-204.
  62. Vranda, N. M., & Sekar, K. (2011). Psychosocial impact of flood on children: A qualitative study. The Odisha Journal of Psyciatry, 2011, 29-37.
  63. Wit, S. D. (2011). Global warning [Master’s thesis, Leiden University].
  64. Xu, Y., & Lamarque, J. F. (2018). Isolating the meteorological impact of 21st century GHG warming on the removal and atmospheric loading of anthropogenic fine particulate matter pollution at global scale. Earth Future, 6, 428-440.
  65. Yusoff, M. S. B. (2019). ABC of content validation and content validity index calculation. Education in Medicine Journal, 11, 49-54.
  66. Zamanzadeh, V., Ghahramanian, A., Rassouli, M., Abbaszadeh, A., Alavi-Majd, H., & Nikanfar, A. (2015). Design and implementation content validity study: Development of an instrument for measuring patient-centered communication. Journal of Caring Sciences, 14(2), 165-178.
  67. Zivin, J. G., & Shrader, J. (2016). Temperature extremes, health, and human capital. The Future of Children, 26(1), 31-50.
  68. Zivin, J. G., Hsiang, S. M., & Neidell, M. (2018). Temperature and human capital in the short and long run. Journal of the Association of Environmental and Resource Economists, 5, 77-105.