Effect of 2022 Flooding on Academic Activities in Public Secondary Schools in Bayelsa State

<p><span>This paper investigated Effects of 2022 Flooding on Academic Activities of Students in Public Secondary Schools in Bayelsa State.<span> </span>Two research questions and two corresponding hypotheses guided the work. The<span> </span>study adopted descriptive research design. 1,941 teachers in the nine educational zone of the State, constituted the population. A sample size of 332 participants took part in the study. This sample was randomly selected<span> </span>from a population of 1,941 subjects. The rationale for the use of the sample was justified by applying the Yamane's (1967) formula to the population of 1,941 to obtain a minimum sample size of 332. The major research instrument that was used for the study is the questionnaire titled: ―Effects of 2022 Flooding on Academic Activities of Students in Public Secondary Schools in Bayelsa State Questionnaire (EFAASPSBSQ). The Likert methods of summated ratings were used in drafting the questionnaire for the study.<span> </span>Each item<span> </span>in the cluster is constructed on a – 4-point rating scale of very high extent (VHE), high extent (HE), low extent (LE) and very low extent (VLE) weighted 4-1 respectively. The instrument was validated by the experts in Educational Foundation and Measurement and Evaluation departments from the Rivers State University. The test-retest method was applied to ensure that the instrument is reliable. The instruments were administered to respondents in secondary schools outside Bayelsa State, who were not part of the study. The results were correlated using Pearson Product Moment Correlation to ascertain the co-efficient at 0.80. Out of 332 copies of the questionnaire administered to the respondents, 330 was retrieved and used for the study. The research questions were answered using the mean and standard deviation. The null hypotheses were tested using the z- test statistics at 0.05 level of significance. When the calculated z was less than the critical z of ± 1.96 the null hypothesis was accepted but when the calculated z was more than the Critical z of ± 1.96 the null hypothesis<span> </span>was<span> </span>rejected and the<span> </span>alternative<span> </span>hypothesis<span> </span>upheld.<span> </span>Findings<span> </span>show<span> </span>that there<span> </span>is<span> </span>no significant<span> </span>difference between the mean opinion scores of Male and Female teachers on the extent to which 2022 floods affect students’ attendance in Public Secondary Schools in Bayelsa State. The study therefore, recommended among others, the States governments should sensitize the communities on insuring educational institutions. Schools should<span> </span>engage qualified professionals to assess school buildings, design, construct and maintain school facilities to be resilient in the face of recurrent floods and other weather-related disasters.</span></p>