Assessing the Positive Impacts of Weather Forecast Based Suspension on the Student Welfare and Academic Continuity

cognizancejournal.com Raeden Jan F. Duque et al, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.10, October 2025, pg. 62-71 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 92.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 62 Assessing the Positive Impacts of Weather Forecast Based Suspension on the Student Welfare and Academic Continuity Raeden Jan F. Duque1; Ryan Russel A. Antoniano2; Jason S. Laceda3; Maria Alyssha I. Sacay4; Pops V. Madriaga5 Electrical and Allied Department, Technological University of the Philippines – Taguig, Philippines 1 raeden[email protected]u.ph; 2 [email protected]; 3 j[email protected]; 4 [email protected]; 5 [email protected] DOI: 10.47760/cognizance.2025.v05i10.006 Abstract: This research paper examines the positive effects of a suspension system based on weather forecasts on the student welfare and academic continuity of preschool and elementary school students. As more educational institutions proactively close their buildings due to heavy weather predictions, it is necessary to gather information about the positive outcomes of such activities and develop and adopt a policy. The proposed impact analysis examines how the suspension announcements depend on the predictions made by meteorologists to enhance the safety and educational outcomes of young learners, while also reducing interference in the learning process among learners within the school environment. The analysis will follow a comprehensive methodology to quantify different dimensions of positive change, including the physical safety benefit, psychological well-being benefit, and academic performance sustainability. The data gathered could include attendance records of students, academic research figures, and information on safety incidents that occur during periods of suspension, particularly those related to weather conditions. The paper also assesses that providing advance notice of school closure played a role in helping families secure the proper childcare arrangements, which can help ease stress and anxiety in students and parents. The findings suggest that the suspension, depending on weather predictions, has a significant impact on the well-being of students, as they are not exposed to unsafe travel situations, and the fatality rate among the preschool and elementary age groups is reduced without accidents. Another significant finding highlighted in the study is that a proactive closure policy, coupled with effective communication strategies, contributes to ensuring continuity of education through alternative education opportunities and minimizing the number of years of broken education. For educational policy makers, school administrators, and other stakeholders within the community, this impact analysis can significantly contribute to optimizing student welfare while maintaining academic standards. The research findings support the use of evidence-based guidelines for weather-related suspensions, aimed at safeguarding the safety and learning of young students. Keywords: weather-forecast suspensions, student welfare, academic continuity, early childhood education, school safety policies, impact analysis. cognizancejournal.com Raeden Jan F. Duque et al, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.10, October 2025, pg. 62-71 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 92.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 63 I. INTRODUCTION Extreme weather is increasingly becoming severe and frequent and is making schools reconsider safety and learning continuity among children. Climate related disruptions have impacted no less than 242 million students in 2024 globally [1] and clearly shows how essential it is to have appropriate weather-linked policy in schools. Children in preschool and elementary are especially vulnerable because they need caring completely and are also more vulnerable in this situation. Usually, traditional systems of weather-related closure plans intervene once it becomes impossible to safely open schools, but reactive plans have never been effective in student safety and schools continuity. There is also a positive move towards proactive policy through forecasts despite very scant research on efficacy. Such a deficiency is dire considering the research that one week of being out of school correlates to about three weeks of the lost time in reading and approximately four weeks of lost mathematics study in middle grade [2]. Existing research on the closure of schools has been spurred largely by pandemic experience with COVID-19 and provides helpful lessons regarding broader educational disruption effects. Mazrekaj and De Witte (2024) [3] demonstrated that closure of schools will generate massive attainment deficits, and recent international estimates reveal that mathematics scores fell on average by 14 percent of a standard deviation, roughly seven months of learning [4], after prolonged closure spells. Nevertheless, these articles pertain to a great extent to emergency closure and not forecast-driven preventive closure judiciously designed and therefore leaves plenty of room for knowledge regarding potential benefits from proactive interventions. Young children are particularly vulnerable to weather-related hazards and need policies that move beyond typical practice for closure of schools. Young children in preschool and early grade elementary levels cannot autonomously exercise safety judgment, travel by school buses, and have greater exposure. These considerations would advocate additional safety advantage for forecast-based closure preparation despite absence of empirical support for such practices. Existing evidence acknowledges that school closure is not consistent in nature or effect. Though evidence does attest that rapid large-scale closure is harmful to students [5], little data exist on potential gains through anticipatory forecast-informed responses. The World Bank calculates $18.51 per child to avoid effects from weather shocks and advocates proactive policy as a financially prudent approach to avoid weather-related disruption of learning spaces [6]. Forecast-driven closure of schools is not only essential in safeguarding disadvantaged students from harm but also in enhancing educational equity and institutional resilience. With rising intense weather conditions linked to climate change, learning centers will be required to prepare evidence-driven contingency plans to safeguard their most vulnerable students and ensure learning continuity. Children from disadvantaged backgrounds are most at risk, and robust protective policies must thus be implemented to enhance learning equity. There is growing evidence of educational effects from extreme weather and rising forecast-based policy use by schools. There is little scientific research on benefits from such anticipatory policy. Existing research centers disproportionately on negative impacts from closure rather than benefits from anticipatory planning. This gap in knowledge is particularly pertinent to early childhood learners whose vulnerabilities and needs require age-appropriate consideration by policy. This study will evaluate weather-related closure of schools as one way of enhancing safety and academic levels among preschool and elementary students. With safety checks, stress among parents, and continuity of learning evaluation, the research will try to provide evidence in favor of improved weather-related policy for schools. The findings will possibly identify how weather-related disruption could be transformed into positive moments through anticipatory planning with the goal to make students safer and their schools more resilient. II. METHODOLOGY The study applies a five-step approach in evaluating the favorable effects of the weather forecastinduced school shutdowns on welfare and continuity of learning among students at the preschool and elementary levels. Phase 1: Problem Identification and Scope Definition. Connected with the definition of the research question dedicated to the interruptions of the extreme weather circumstances, concerned with student safety and the continuity of learning. In reactive cognizancejournal.com Raeden Jan F. Duque et al, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.10, October 2025, pg. 62-71 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 92.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 64 closure fails to offer adequate protection of students and to uphold academic rigor, as the reports have asked for an adaptive policy of learning in terms of weather interruption and local suspension authority [7],[8]. Figure 1. Problem Flow Diagram Flowchart explains step-by-step the process of defining the research. It covers the origins of extreme weather conditions, which are on the rise and whose intensities and instances are dangerous to society. They engage face-to-face in creating interference among elementary and preschool learners, as well as hindering their safety and continuity of learning. In such a situation arises the issue formulated as a need to have proactive interventions as opposed to the conventional reactive closures, which in most cases do not effectively guard the students and even favor performance progressively. There is a scope in which the research is limited to only positive effects, like assurance of physical safety, reduction of its potential, and consistency in continuation of academic activity despite such interruptions. Without such a process, the flowchart provides a systematic way of how a global environmental problem can be appropriately distorted into a particular research problem, and the limitations of the research can be characterized very well. Phase 2: Literature Review The analysis of previous studies on weather-related closure cases that investigated the cases of attendance, safety, learning loss, and proactive closures. Articles that extreme weather causes learning loss, psychological impact, and safety concerns, and demand proactive closures due to the weather forecasts [9],[10]. cognizancejournal.com Raeden Jan F. Duque et al, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.10, October 2025, pg. 62-71 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 92.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 65 Figure 2. Research Framework: School Closure Impact Study Funnel Diagram The literature review will provide a reference point for the research since it is a systematic approach where prior research on extreme weather conditions and school closure is reviewed. It will begin with a general analysis of the past literature by looking at the general implications of school shutdowns. Based on this, it increasingly diminishes at the level of the particular domains like attendance and learning outcomes, indicating the effect on the continuity of learning and education. It further examines the issues of safety and mental health of the students and how such closures will affect its physical and mental health. It is through such interrelated problems that the literature review can be facilitative in terms of establishing knowledge gaps within the prevailing research, especially the weather-related problems, which are concerned with proactive measures like weather-based suspension. The knowledge gaps keep on creating research plans since they dictate the nature of the secondary data collection to be done and the manner in which the natural knowledge is obtained. Reflecting on such considerations, it is in this step where the general explorations that have been taken in past studies are simply xenophile into more restricted structures that govern data collection and disorientations in research. Phase 3: Data Collection The study is conducted on publicly available secondary data in the form of weather forecasts, government reports, academic statistics, and safety incidents that are released to the community population through the weather offices and educational departments directly through publications. This is in line with how local and governmental data are presently being used to track foul-weather closure [11],[12]. Figure 3. Central Data Hub - Sources and Data Types Integration cognizancejournal.com Raeden Jan F. Duque et al, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.10, October 2025, pg. 62-71 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 92.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 66 This chart illustrates the way such kinds of secondary data all just centrally cluster together in a pivot of analysis. There are four sources found in the converged Compile Data box. Attendance and safety data in the government reports give approved compliance statistics. Sites of education departments give academic proficiency data, which helps with the quantification of learning outcomes. The weather suspension data, which is a weather anticipation, is provided by the weather instruments. Third, research collections have historical data on the closure of schools, like long-term registered studies. All these inputs are focused on the focal point in concurrence, hence research is based on all-around, justified, and verifiable data. Phase 4: Data Organization and Analysis In this case, it summarizes and interprets data statistically, compares the situation using Descriptive statistics and comparative statistics (t-tests, ANOVA) between traditional reactive closures and forecast-driven closures. A test of the association between forecasting and student performance (continuity of learning and safety) is a test of correlation statistics. These comparisons are as usual as the other quantitative analytic articles on weather and its effects on education published lately [13],[14]. Figure 4. Impact Analysis Pipeline - From Raw Data to Results Interpretation This chart defines the data analysis process used in the study, the transformation of raw data into a meaningful representation. This was started at Raw Data Organization, and there, the data is purged, positioned, and filtered to analyze. After that, Descriptive Statistics are applied in order to summarize the data with averages, percentages, and distributions in order to provide a brief description of the dataset. Impact Analysis whereby an observer notices the discrepancies in groups. Statistical tests used in particular in this step are T-Tests (that can be utilized at the moment of comparing the mean values of two groups) and ANOVA (that can be applied at the moment of comparing the values of 3 or more groups). At the point where the variation has been identified, it will be followed by Correlation Analysis where one will come to discover connections between variables to determine whether they are likely to co-move or whether they influence one another. Finally, the Results Interpretation step occurs when all the outputs take place. Statistical outputs are converted into interpretable products with correlation analysis and the objectives of the research. Usually, the flow chart depicts a systematic procedure that not only orders the way the data is processed but also analyzes the data in a way that generates compelling evidence to act as support to the establishment of conclusions. cognizancejournal.com Raeden Jan F. Duque et al, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.10, October 2025, pg. 62-71 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 92.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 67 Phase 5: Synthesis and Observation. Used to implement quantitative results in order to make inferences regarding the costs of weather forecast-driven suspension. Privy to the current study, quantitative findings will be synthesized with the desired results or conclusions in order to support proactive suspension policy in favor of the students, in terms of the safety and continuity of their learning process, with policy implications. This is informed by a body of research that requires a review and improvement of the suspension policy in order to foster safety over the learning loss balance [15],[16]. Figure 5: Conceptual Flow Diagram This begins with the findings of an analysis in which quantitative findings of policing instigated by school forecasts are initial prey to analysis regarding school suspension. This factor implies that study is fact-based with figures and numerical findings. The output of such conclusions generates the pattern identifications in which the synthesis of the data generates a regular pattern of frequency which is positive. Improved safety enhancement and proactive continuity of learning are at the higher side of these indicators. These trends bear good fruit in that the two highest sectors gained, which are student safety and learning proficiency. The advantages that come with implementing this system in regard to the safety of students include decreased weather crises, enhanced emergency readiness, and improved well-being. To achieve proficiency in learning, some of the benefits would include guaranteed learning continuity, reduced disruption, and a balanced outcome between the protection of the students and the preservation of learning. Ultimately, these gains are unique to two categories of stakeholders, namely, policymakers and school administrators, and turn into evidence-based recommendations. Lasting suggestions made to the policymakers include standardization of weather, formulating all-encompassing policies, and a safetylearning balance. In the case of school administrators, protocol, proactive implementation, forecast usage information, and contingency should also be recommended as appropriate courses of action. Overall, there is a logical transition between data and deployment as depicted in the diagram, whereby research findings are directly converted into practical plans of action that decision-makers can apply. III. RESULTS AND DISCUSSION A. Problem Identification and Scope Definition The outcome of the initial phase confirmed the non-performance of the classic reactive suspensions in order to provide the safety of students and learning continuity. It was reported that the execution of decisions months after unsafe conditions had formed exposed students to the risk of accidents and resulted in significant disruptions to school attendance. By delimiting the positive impacts of forecast-based suspensions, the study reduced its focus to the quantifiable effects, including safety, academic continuity, and psychological well-being. These results are not isolated since previous studies also reported the danger of reactive closures and the necessity of proactive policy in the education sector [3], [16]. cognizancejournal.com Raeden Jan F. Duque et al, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.10, October 2025, pg. 62-71 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 92.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 68 Figure 6: Flow of Problems and Solutions in Class Suspensions The flow chart illustrates that rising weather events lead to school shutdowns, which pose risks when handled in a reactive style or provide opportunities to enhance safety and continuity, given the opportunities for forecast suspension learning. The analysis also identified a number of problem areas. The decision to close reactively is usually made after unsafe situations have already been formed, and students are left at risk due to the weather [12]. Additionally, sudden closure announcements create significant disruptions for families and learning continuity, as parents struggle to make immediate childcare and work arrangements [3]. Furthermore, current policies lack systematic approaches to balance safety with educational continuity, often prioritizing one aspect over the other [16]. B. Evidence from Data Collection and Integration Using secondary data from weather offices, attendance records, and safety reports, the analysis showed an apparent reduction in accidents and better preparedness when suspensions were forecast-driven. Parents reported having more time to adjust household routines, which eased the stress of sudden disruptions. The consistency of official data sources made the decisions more reliable and defensible. These results confirm that data-driven suspension policies can improve both safety outcomes and family readiness [11], [12]. Figure 7: Impacts of Reactive and Forecast-Based Closures The clustered bar chart shows that forecast-based suspensions outperform reactive closures across three dimensions: safety, attendance, and preparedness. The proactive approach consistently provides higher benefits across all measured parameters. The data integration revealed comprehensive evidence across multiple sources. Government reports provided attendance and safety compliance statistics showing improved outcomes with forecast-based approaches, while academic statistics demonstrated learning outcome preservation with proactive closure policies. Weather department data confirmed that forecast accuracy supports reliable closure decision timing, and research collections provided historical data that validated the superiority of proactive approaches over reactive methods. The integration approach successfully utilized multiple data streams to create comprehensive evidence for policy evaluation [11], [12]. cognizancejournal.com Raeden Jan F. Duque et al, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.10, October 2025, pg. 62-71 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 92.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 69 C. Analysis of Safety, Academic, and Psychological Impacts Statistical comparisons revealed significant differences between reactive and forecast-based closures. Schools applying forecast-driven suspensions lost fewer instructional days and preserved stronger academic performance, particularly in reading and mathematics. Correlation analysis also indicated strong links between advance notices, reduced parental stress, and improved student well-being. Synthesizing these outcomes shows a pattern of multi-dimensional benefits: higher safety, sustained learning, and stronger psychological security for both students and families [13], [14]. Figure 8: Multi-Dimensional Impacts of Forecast-Based Suspensions The radar chart highlights these benefits by comparing reactive and proactive approaches across three dimensions: safety, academic continuity, and well-being. The broader coverage of the proactive closure illustrates how it achieves more balanced and comprehensive outcomes. The impact analysis revealed distinct patterns across three critical dimensions. In terms of safety, forecast-driven suspensions demonstrated reduced accident rates and improved emergency preparedness compared to reactive approaches. Regarding academic continuity, proactive approaches preserved more instructional time and maintained stronger performance outcomes in core subjects. For psychological well-being, advance notice significantly reduced family stress levels and improved overall student security during weatherrelated disruptions. The analysis pipeline successfully processed data through descriptive statistics, comparative analysis, and correlation studies as outlined in the methodology framework [13], [14]. D. Summary of the Discussion Overall, the integration of findings across all phases demonstrates that forecast-based suspensions are not only protective but also supportive of academic and psychological well-being. Unlike reactive closures, proactive suspensions transform weather-related disruptions into opportunities to enhance school resilience and maintain educational equity. These results strongly recommend the institutionalization of proactive suspension policies, coupled with effective communication and contingency learning strategies [6], [16]. Figure 9: Integration of Quantitative and Qualitative Findings cognizancejournal.com Raeden Jan F. Duque et al, Cognizance Journal of Multidisciplinary Studies, Vol.5, Issue.10, October 2025, pg. 62-71 (An Open Accessible, Multidisciplinary, Fully Refereed and Peer Reviewed Journal) ISSN: 0976-7797 Impact Factor: 5.183 Index Copernicus Value (ICV) = 92.57 ©2025, Cognizance Journal, ZAIN Publications, Fridhemsgatan 62, 112 46, Stockholm, Sweden, All Rights Reserved 70 The combined bar chart synthesizes both quantitative results and qualitative insights. Quantitative results emphasize reductions in lost learning days and safety risks, while qualitative insights reflect the reduced stress and higher satisfaction reported by families and teachers. Together, they show that proactive suspensions are effective in both measurable outcomes and lived experiences alike. IV. CONCLUSION The study proved that a forecast-based school suspension study can always be more successful than the reactive one, in its success in promoting variation in the safety of students, continuity of the school, and wellness of a family. Proactive closing reduces the number of accidents due to weather-related causes and raises preparedness, whereas the benefit of a notice is slight, with three-quarters of awareness of fundamental courses of study, and continues as a backup measure, like remote education. It also enables the family to have a reduced stress level and leverage in the childcare and routine planning, and has been found to enhance the psycho-social stability as well. This requires institutional policies in the schools, assimilation of the meteorological projections into the suspension decision-making, extraordinary support in favorable communication forays, and backup programs. However, the provided research was weak, as it relied on secondary data and focused on the positive aspects of the issue without analyzing the total cost-benefit picture. It has been proposed that longitudinal research and primary research should be conducted on the subject in the future to maximize the policies and make it scalable. Overall, forecast-based suspensions are helpful in prioritizing children's safety without compromising on learning and family well-being, and there is an urge on the policymakers to embrace proactive and datadriven suspension standards. ACKNOWLEDGEMENT The successful completion of this research would not have been possible without the support and contributions of various individuals and institutions. We extend our sincere gratitude to our academic adviser for their invaluable guidance and critical insights throughout this research. Their expertise significantly shaped the direction and quality of this study. We are grateful to the researchers and scholars whose published works formed the foundation of our literature review, providing essential empirical evidence on weather-related school closures and educational continuity. Special acknowledgement is due to the government agencies, educational departments, and meteorological offices whose publicly available data enabled our comprehensive impact analysis and evidence-based framework development. REFERENCES 1. Buechner, M. (2025, January 24). Climate crises disrupted schooling for 242M children in 2024. UNICEF USA. https://www.unicefusa.org/stories/climate-crises-disrupted-schooling-242m-children-2024 2. Act on Climate Campaign. (n.d.). Extreme weather and schools. https://www.actonclimate.com/extreme-absence/ 3. Mazrekaj, D., & De Witte, K. (2024). The impact of school closures on learning and mental health of children: Lessons from the COVID-19 pandemic. 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Quezon City Government. (n.d.). QC localized class suspension during bad weather. https://quezoncity.gov.ph/qclocalized-class-suspension-during-bad-weather/ 9. Act on Climate Campaign. (n.d.). Extreme absence. https://www.actonclimate.com/extreme-absence/