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When water is contaminated and rendered unfit for drinking, it is regarded as waste, which leads to water pollution. Several works have been done to control water pollution, yet this topic is still a point of concern up to date. The study involves the production of activated carbon (AC) using sawdust to treat sewage water obtained from Covenant University. The following conditions were investigated; activation time and temperature, activating agent concentration, and impregnation time. The AC was characterized by measuring ash content, iodine value, moisture, and volatile matter content. The optimum activated carbon prepared in this study had iodine of 1628.95 mg/gm, while the minimum activated carbon had an iodine of 470.41 mg/gm. According to standard procedure, the sewage water sample was characterized physio-chemically before and after treatment using activated carbon as an adsorbent. The results obtained indicated considerable improvement in the quality of the water. When optimum activated carbon was used for treatment, pH value changed from 7.7 to 7.10, biochemical oxygen demand (BOD) was reduced from 288 mg/l to 20 mg/l and Total dissolved solids (TDS) reduced from 183.7 mg/l to 16.4 mg/l, Total suspended solids (TSS) reduced 232 mg/l to 15.7 mg/l. When minimum activated carbon was used for treatment, pH value changed from 7.7 to 7.60, BOD was reduced from 288 mg/l to 112.2 mg/l, and TDS reduced from 232 mg/l to 174 mg/l, TSS reduced 183.7 mg/l to 103 mg/l. The results obtained led to the conclusion that the produced activated carbon effectively treats the above-stated water quality parameters.

The impact of training, remuneration, and teamwork factors on job performance has been affirmed in the literature. However, not all organizations devote efforts to these critical variables of performance, which has led to employees' poor job performance. Hence, this study examined the influence of training, remuneration, and teamwork factors on job performance among employees of the National Examinations Council (NECO) of Nigeria. The study was located within a positivist paradigm that adopted a descriptive survey design. A purposive sampling technique was adopted in selecting 140 NECO employees, and a random sampling technique was employed to select 100 respondents from the total population of 1000 secondary school registrars. One research question was answered, while four hypotheses were tested in the study. Two research instruments were used for data collection. Data were analyzed using frequency count, percentage, Pearson product-moment correlation, and multiple regression statistical tools. The result showed that NECO employee job performance is excellent. There was a significant relationship between remuneration and job performance (R=0.864 (Sig, 0.023). There was also a significant relationship between teamwork and job performance R=2.072 (Sig, 0.022). In addition, a significant relationship existed between training and job performance R=1.143 (Sig, 0.008), and the combination of the independent variables is effective in predicting employee job performance (F(3,136 ) = 9.224, p< 0.05). Based on the result of the study, it was concluded that the independent variables are critical factors in determining the job performance of NECO employees in Oyo state, Nigeria. Hence, it was recommended that all these factors be given deserved attention and taken seriously by the management to get the best out of its employees.

Abstract This study assessed the impacts of climatic parameters (rainfall and temperature) and environmental variables (transparency, depth, chloride, TS, TSS, TOC) on the abundance of commercially important fish species in Esa-Odo. The research question was to find out if climatic and environmental factors influence the abundance of fish species in an afro-tropical reservoir. Fish species were collected on a monthly basis for two annual cycles covering both dry and rainy seasons. GIS-based climatic data was used to determine the relationship between climatic conditions and fish species abundance. Results showed that the highest abundance of fish was recorded during the rainy season, with Oreochromis niloticus being the most dominant species throughout the sampling period. Trend analysis revealed that variations in climate and environmental parameters influenced the abundance of different fish species in the reservoir. Mann-Kendal analysis indicated that an increase in rainfall led to an increase in reservoir depth, a decrease in transparency levels, and a reduction in temperature, with a Sen’s slope value of -38. Additionally, CCA and correlation matrix results demonstrated that climate and environmental parameters significantly influenced fish species abundance. The study emphasized the importance of climatic and environmental factors in the abundance of fish species in the reservoir, providing valuable information for future research on fishery resources. Governments and stakeholders were urged to prioritize the conservation and management of the reservoir’s fish population to prevent declines.

Abstract The ongoing COVID-19 pandemic, caused by the SARS-CoV-2 virus, represents one of the most significant global health crises in recent history. Despite extensive research into the immune mechanisms and therapeutic options for COVID-19, there remains a paucity of studies focusing on plasma cells. In this study, we utilized the DESeq2 package to identify differentially expressed genes (DEGs) between COVID-19 patients and controls using datasets GSE157103 and GSE152641. We employed the xCell algorithm to perform immune infiltration analyses, revealing notably elevated levels of plasma cells in COVID-19 patients compared to healthy individuals. Subsequently, we applied the Weighted Gene Co-expression Network Analysis (WGCNA) algorithm to identify COVID-19 related plasma cell module genes. Further, positive cluster biomarker genes for plasma cells were extracted from single-cell RNA sequencing data (GSE171524), leading to the identification of 122 shared genes implicated in critical biological processes such as cell cycle regulation and viral infection pathways. We constructed a robust protein-protein interaction (PPI) network comprising 89 genes using Cytoscape, and identified 20 hub genes through cytoHubba. These genes were validated in external datasets (GSE152418 and GSE179627). Additionally, we identified three potential small molecules (GSK-1070916, BRD-K89997465, and idarubicin) that target key hub genes in the network, suggesting a novel therapeutic approach. These compounds were characterized by their ability to down-regulate AURKB, KIF11, and TOP2A effectively, as evidenced by their low free binding energies determined through computational analyses using cMAP and AutoDock. This study marks the first comprehensive exploration of plasma cells’ role in COVID-19, offering new insights and potential therapeutic targets. It underscores the importance of a systematic approach to understanding and treating COVID-19, expanding the current body of knowledge and providing a foundation for future research.

Abstract Biomass-derived activated carbon for carbon dioxide (CO2) post-combustion has been drawing attention because they are cost-effective and environment-friendly. In this study, activated carbon was prepared from cocoa pod husk waste (COP) biomass for CO2 adsorption. The COP was pyrolyzed and activated using potassium hydroxide (KOH). The activated carbon prepared was characterized using scanning electron microscopy (SEM), Scanning Electron Microscopy- Energy Dispersive Spectroscopy and Fourier transform infrared spectroscopy (FTIR) analysis. The performance of the activated carbons prepared for CO2 was evaluated using a CO2 gas analyzer. Optimization of the adsorption process of CO2 was carried out by varying some important variables affecting the adsorption process. Results showed activated carbon prepared has a good pore structure with high carbon content that supported CO2 adsorption. The Freundlich model provided the best fit with the experimental data while data fitted well to pseudo-second-order kinetics with an adsorption capacity of 6.5 mg/g. The optimal condition for CO2 adsorption, was an adsorption time of 1 min, a Carbonization temperature of 700 °C, and Bed height of 5 cm, and % CO2 removal of 99.5%. The study revealed (COP) biomass as a suitable activated carbon precursor for CO2 capture.

Integrating digital technologies into the educational landscape seems to be a defining factor for learning and leading in the pandemic and post-pandemic era. Hence, this study examines the impact of digital technology adoption on school leadership and management in the post-pan­demic era, focusing on high school leaders' experiences in Oyo State, Nigeria. The theoretical framework is anchored on the Technology Acceptance Model (TAM), which elucidates factors influencing technology adoption through perceived usefulness, perceived ease of use, and attitude toward usage. The study used a descriptive research design and sampled 227 high school leaders across three senatorial districts, collecting data via a validated questionnaire. The reliability index of the instruments is as follows: school leaders' digital technology adoption (? =0.85), digital media tools' usage (? =0.95), and professional development opportunities (? =0.84). Results indicate a positive influence of digital technology on school leadership and management, enhancing communication, virtual administration, performance monitoring, and breaking spatial-temporal barriers. WhatsApp, Email, Google Forms, and Zoom were identified as the most frequently used digital media tools, while professional development in digital technologies was provided to a moderate extent for 58.2% of high leaders. The findings demonstrate the need for more extensive professional development programs by indicating a considerable investment in school leaders' digital competency development, but not all-encompassing. Recommendations include enhancing the quality and frequency of training, promoting diverse digital tools, tailoring professional development to specific needs, and implementing regular assessment and feedback systems to improve digital technology integration in schools.

Abstract Background Epidemiological investigations have revealed an important association between infection, inflammation and prostate cancer. Certain bacterial species, such as Klebsiella spp, Escherichia coli, Pseudomonas spp, Proteus mirabilis, Chlamydia trachomatis have been linked to prostate cancer. This study aimed to examine the microbiota; specifically bacterial species that have been linked to prostate infections in the urine of individuals diagnosed with prostate cancer. Results Sixty-six prostate cancer patients and forty controls provided midstream urine samples. The urine samples were grown on suitable medium, and bacterial isolates were detected by standard microbiological methods. Additionally, the antibiotic sensitivity pattern of the bacterial isolates was analysed. A total of number of 72 bacterial isolates were obtained from the urine of study participants. The results showed the presence of Escherichia coli (50.0%), Pseudomonas aeruginosa (18.1%), Klebsiella spp (15.3%), Staphylococcus aureus (8.3%), Enterobacter spp (4.2%), and Proteus mirabilis (2.8%) in the urine. The most common bacterial species isolated from prostate cancer patients was Escherichia coli, which was susceptible to levofloxacin (100%), tobramycin (91.7%), and amikacin (62.5%). Conclusions This study’s findings established the presence of bacteria previously linked to prostatitis. This report indicates a high prevalence of pro-inflammatory bacteria and uropathogens in the urinary tract of men diagnosed with prostate cancer.

In the age of digitalization, technology has become a driving force, transforming various sectors, including education. This study investigated the barriers and drivers influencing high school leaders’ engagement with digital technologies in high schools. Through a quantitative research approach, 220 high school leaders from Oyo State, Nigeria, participated in the study, providing data through structured questionnaires. The study’s theoretical framework is anchored on Lewin’s Three-Step Model of Change. Findings revealed significant barriers, such as inadequate training, resistance to change, and budgetary constraints, hindering the seamless integration of digital tools. However, despite these obstacles, leaders are motivated by potential benefits like enhanced communication, improved student outcomes, and future readiness to embrace digital leadership. The study underscores the critical role of leadership in fostering innovation, leveraging technology for strategic decision-making, and driving transformative change in educational institutions. Recommendations include prioritizing continuous professional development, proactively addressing barriers, fostering innovation, and developing clear digital strategies that align with organizational goals. These are crucial for successfully implementing digital leadership initiatives in high schools. This study provides empirical evidence on barriers and drivers influencing digital leadership practices among high school leaders, enriching existing literature on digital transformation and guiding effective strategies.

One of the technological innovations that characterized the Fourth Industrial Revolution (4IR) is ChatGPT. ChatGPT has been engaged in different academic tasks by tutors and learners. This study examined the perceptions and practices of plagiarism among Nigerian undergraduates in the era of 4IR. The study adopted a quantitative research design, and 120 undergraduates from the Tourism Department of Osun State University were enumerated. Data was collected from the participants with the aid of questionnaires. The data was analyzed using frequency, percentage, and mean indices. The study revealed that ChatGPT has the capacity to promote plagiarism practices among undergraduate students, sometimes unintentionally. The study showed that the lecturers did not have sufficient knowledge and training on plagiarism in ChatGPT-generated content, leading to the inability to promptly address plagiarism among undergraduates from ChatGPT. It is recommended that higher education institutions take training in the ethical usage of ChatGPT seriously to avoid plagiarism practices. This study contributes to scholarship by providing empirical evidence on the influence of ChatGPT on plagiarism practices among Nigerian undergraduates, highlighting the need for enhanced training and awareness for both students and lecturers regarding the ethical use of AI tools in academic writing in the era of the 4IR.

In recent years, students' performance in Biology in the Senior Secondary Certificates Examination (SSCE) has not been encouraging. Studies have attributed fluctuating achievement of students in Biology to ineffective use of instructional strategies. If sustainable solution is not proffered to the issue of poor performance in Biology, it could hinder the fulfilment of educational goals for science, especially in the health sector. This study advocated the use of teaching strategies that will promote and encourage teachers to adopt learning strategies that will demand students to think critically and contribute effectively in class and the society at large. Therefore, this study was carried out to determined the effectiveness of guided and open inquiry instructional strategies on academic performance of secondary school students in Biology in Osun State. The non-equivalent pretest posttest quasi-experimental research design was used for the study. The population comprised all senior secondary school Biology students in Osun state. The sample consisted of Senior Secondary One (SS1) Biology students in their intact classes selected using multistage sampling procedure. Biology Achievement Test (BAT) was used to gather data for the study. Data collected were analysed using analysis of Covariance. From the study, the results showed that there was a significant difference between the experimental groups taught Biology using guided inquiry and open inquiry strategies, and the control group taught Biology using conventional method. Open inquiry strategy improve students' performance better than the other groups. Also, guided inquiry stimulate students' performance than conventional method. The study concluded that Open inquiry is a better teaching strategy; as it was more effective in improving the academic performance of students in Biology in the study area.

BackgroundWith the emergence of SARS-CoV-2 variants resistant to monoclonal antibody therapies and limited global access to therapeutics, the evaluation of novel therapeutics to prevent progression to severe COVID-19 remains a critical need.MethodsSafety, clinical and antiviral efficacy of inhaled interferon-β1a (SNG001) were evaluated in a phase II randomized controlled trial on the ACTIV-2/A5401 platform (ClinicalTrials.govNCT04518410). Adult outpatients with confirmed SARS-CoV-2 infection within 10 days of symptom onset were randomized and initiated either orally inhaled nebulized SNG001 given once daily for 14 days (n = 110) or blinded pooled placebo (n = 110) between February 10 and August 18, 2021.FindingsThe proportion of participants reporting premature treatment discontinuation was 9% among SNG001 and 13% among placebo participants. There were no differences between participants who received SNG001 or placebo in the primary outcomes of treatment emergent Grade 3 or higher adverse events (3.6% and 8.2%, respectively), time to symptom improvement (median 13 and 9 days, respectively), or proportion with unquantifiable nasopharyngeal SARS-CoV-2 RNA at days 3 (28% [26/93] vs. 39% [37/94], respectively), 7 (65% [60/93] vs. 66% [62/94]) and 14 (91% [86/95] vs. 91% [83/81]). There were fewer hospitalizations with SNG001 (n = 1; 1%) compared with placebo (n = 7; 6%), representing an 86% relative risk reduction (p = 0.07). There were no deaths in either arm.InterpretationIn this trial, SNG001 was safe and associated with a non-statistically significant decrease in hospitalization for COVID-19 pneumonia.FundingThe ACTIV-2 platform study is funded by the NIH. Research reported in this publication was supported by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health under Award Number UM1 AI068634, UM1 AI068636 and UM1 AI106701. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Abstract This study examines the relationship between family-controlled companies and corporate social responsibility practice disclosure (CSRPD) and examines whether board independence influences this relationship. A self-constructed CSR disclosure index is developed to measure the CSRPD in a sample of 152 publicly listed companies in Saudi Arabia from 2016 to 2021. The findings from the pooled ordinary least squares (POLS) regression reveal that family-controlled companies exhibit lower levels of CSRPD than non-family companies. However, family-controlled companies with a higher number of independent directors on their boards show higher CSRPD, indicating a significant positive interaction effect of board independence. These results remain robust even after applying a variety of econometric techniques, including Newey-West regression, panel corrected standard error (PCSE), logistic regression, and addressing endogeneity problems, along with using different measures for CSRPD and family-controlled companies. These findings suggest that the governance structure of the boards, particularly independent directors, can support the prosocial and positive stimulus of socioemotional wealth (SEW) theory. Therefore, Saudi Arabian capital market regulators need to be aware of the importance of companies’ governance structures.

Background and Objective: Immunoglobulin G (Ig G) is essential for the promotion of growth and protection particularly during neonatal life. Although various aspects of Ig G have been studied, we are unaware of any study relating maternal social factors to neonatal Ig G levels. This study aims at determining the relationship between maternal factors and the cord serum Ig G. Methods: This was a prospective longitudinal cohort study involving administration of questionnaires on women with normal pregnancy confirmed by the obstetrician, Specimens of umbilical blood were obtained at delivery from mother/neonate pair and the serum IgG levels determined on the samples using enzyme linked immunoassay. These levels were correlated with certain maternal factors such as age, vaccination with tetanus during the current pregnancy, illnesses such as malaria fever during pregnancy among others. Exclusion criteria included sepsis, chorioamnionitis and chronic illnesses. Result: Cord blood was obtained from 86 mother/ neonate pairs (47 females and 39 males). The mean + SD serum Ig G was 1297.8mg/ml +995.6. The mean age of the mother was 27+ 3 years, while the gestational age of the neonates was 37.6 weeks + 2.8. The mean cord serum Ig G levels in neonates of mothers 25 years of age were 1611.2 mg/ml and 1183,5mg/ml respectively (p= 0.038). The social classes of the mothers included low 51(59.3percent), middle 21(24.4 percent) and high 14(16.3 percent) with mean cord serum Ig G of 941 mg/ml, 1157.4 mg/ml and 1476.7 mg/ml respectively. Malaria fever in pregnancy apparently ocurred in 31(36 percent), 29 of whom had one to two episodes while the remaining had > episodes. The mean cord serum Ig G levels in neonates of mothers with and without malaria fever were 1526.3mg/ml and 1089.6mg/ml respectively (p= 0.016). The duration was < 12 hours among 32(37 percent) mothers in whom the cord serum IgG levels was 2156mg/ml, while the duration was > 12hours in 54(63 percent) with mean cord serum IgG of 921mg/ml respectively (p = 0.005). Conversely, there was no correlation with the other variables. Conclusion: There was significant correlation between cord serum lg G levels and malaria fever in pregnancy, maternal age and duration of labour.

Background: The incidence of hypertension in the pediatric population has been increasing. Childhood blood pressure is predictive of adult BP. The renin angiotensin aldosterone system pathway is important in the mediation of pediatric hypertension. New therapies approved for adults are often used off label in children with little or no efficacy and safety data in the paediatric population The angiotensin receptor blockers has been shown to be effective and safe in the treatment of pediatric hypertension. Objective: The objective of this review is to hig hlight available clinical evidence on the efficacy, safety tolerability and kinetics of angiotensin receptor blockers in childhood hypertension and its antiproteinuric effect in renal disease. Method: The search strategy wasbased on Pubmed, Medline database, Cochrane Library, manual, Google and Yahoo searches. We summarized ten randomized controlled trials (RCTs .The search was done in June 2014 and updated in January and May 2015 in English language . Results: A total of 120 publications were accessed from which 68 references were included in the review. The design and outcome of ten key randomised trials are summarised. Randomised trials have demonstrated the efficacy of angiotensin receptor blockers in the pediatric population aged 1–16 years. This class of drugs reduce blood pressures in pediatric patients with hypertension and proteinuria in renal disease. Safety pharmacokinetic, dosage, and palatability of adult formulations for the paediatric age group are highlighted Conclusion: Angiotensin receptor antagonists are useful effective and safe alternatives to available antihypertensive therapy in paediatric population. Angiotensin receptor antagonists should however be prescribed cautiously for sexually active adolescent females due to concern about angiotensin receptor blocker fetopathy.

Abstract The linear regression is critical for data modelling, especially for scientists. Nevertheless, with the plenty of high-dimensional data, there are data with more explanatory variables than the number of observations. In such circumstances, traditional approaches fail. This paper proposes a modified sparse regression model that solves the problem of heterogeneity using seaweed big data as a use case. The modified heterogeneity models for ridge, LASSO and Elastic net were used to model the data. Robust estimations M Bi-Square, M Hampel, M Huber, MM and S were used. Based on the results, the hybrid model of sparse regression for before, after, and modified heterogeneity robust regression with the 45 high ranking variables and a 2-sigma limit can be used efficiently and effectively to reduce the outliers. The obtained results confirm that the hybrid model of the modified sparse LASSO with the M Bi-Square estimator for the 45 high ranking parameters performed better compared with other existing methods.

Background: Noma is a major cause of mortality and morbidity in Nigeria and other sub-Saharan African countries with dire far-reaching consequences on the precarious health system and socioeconomic situation of the vulnerable population of the region. Aim: This study aimed to describe the demographic and socioeconomic determinants of noma patients and proffer workable strategies to check the trend. Materials and Methods: Relevant clinical data of the subjects such as demographics, socioeconomic factors, clinical outcome, and length of hospital stay were recorded and analyzed using SPSS version 25. Results: A total of 178 case records of patients managed with noma were included and there were 76 (42.7%) males and 102 (57.3%) females. The age range of the study subjects was 1-33 years with mean±SD of 6.23±4.63. The majority of the subjects 172 (96.6%) were from rural communities, farming 126 (70.8%) was the main source of income of the study subjects. All the subjects were from poor households with low socioeconomic status and most of the subjects 175 (8.3%) were not enrolled in formal education. Measles 81 (45.5%) and malnutrition 78 (43.8%) were the most common risk factors identified. Good clinical outcome was recorded with 23 days average length of hospital stay. Conclusion: Demographic and socioeconomic determinants play a crucial role in the occurrence of noma and attention to vulnerable age groups by removing health inequities, fair distribution of resources, and poverty alleviation and improving the living conditions of the affected people would lead to the eradication of the scourge.

This study presents a method for enhancing the photocatalytic properties of strontium oxide (SrO) nanoparticles (NPs) through doping with Iron (Fe) and titanium (Ti) ions using hydrothermal synthesis. The materials were characterized using a range of spectroscopic and microscopic techniques to ensure accurate analysis of their structure and composition. Photocatalytic efficiencies of the as-synthesized materials were evaluated against the degradation of methyl orange dye, achieving about 98 % removal in 90 min with 3 % doped material. The degradation efficiency was found to be dependent on several factors including pH, initial dye concentration, and catalyst dosage. Optimal conditions were determined to be a pH of 4, an initial dye concentration of 20 mg/L, and a catalyst dosage of 150 mg. These findings suggest that the Fe/Ti-codoped SrO nanoparticles hold significant potential for applications in environmental cleanup processes, particularly in the degradation of organic pollutants. The study provides valuable insights into the synthesis and application of doped nanoparticles in photocatalysis, highlighting their efficiency and the importance of optimizing reaction conditions to maximize performance.

Educational stakeholders are concerned about the functionality of secondary education, as many second­ary school graduates, particularly in rural areas, lack basic skills for work and daily life. Therefore, this study investi­gated the contributions of policy, access, and resource fac­tors to the functionality of secondary education in rural communities of Southwestern Nigeria. The study was con­ducted within a positivist paradigm and employed a de­scriptive survey design. A multi-stage sampling technique was used to select 600 secondary school graduates for the study. Two hypotheses were formulated and tested. Four research instruments, namely the Secondary School Gradu­ate Aptitude Test (SSGAT), Policy Factor Questionnaire (PFQ), Secondary School Graduate Access Questionnaire (SSGAQ), and Resource Factor Questionnaire (RFTQ), were utilised with reliability coefficients of 0.715, 0.733, 0.753, and 0.853, respectively. Data were analysed using inferen­tial statistics such as multiple regression. The policy, access, and resource factors made significant joint contributions to the functionality of secondary education (F (3, 597) = 266.740; Adjusted R2 = 0.571) and accounted for 57.1 per­cent of its variance. The policy factor (?= 0.451) and resource factor (?=0.374) made relative contributions to the functionality of secondary education, while the access factor (?= 0.084) did not. The study suggests that urgently addressing policy and resource issues is critical for restoring the functionality of secondary education and improving access to it in rural areas.

Playing mathematical games helps many senior secondary school students, especially girls, acquire basic mathematical skills. However, it can be difficult. Thus, this study examined how gender-related mathematical gameplay affects the performance of secondary school students. The study design was quasi-experimental. A sample of fifty senior secondary school students from the Federal Capital Territory (FCT) of Nigeria's Abuja Council Area was purposively chosen. The researcher randomly allocated intact classes to the experimental and control groups using a coin toss. The students' achievement level was determined by an algebraic achievement test administered before and after the treatment. T-tests, means, and standard deviation were used to analyse the data. The study revealed that female students had a higher mean score than male students when playing mathematics games. The findings imply that mathematical games enhance mathematics teaching and learning and should be encouraged and used by teachers to introduce concepts in mathematics to students, regardless of their gender, at different levels.

Scientific and technological developments rely strongly on mathematical skills. However, mensuration is a challenging topic in school mathematics, leading to poor performance by many students. Various factors are responsible for the unsatisfactory performance, including inappropriate teaching methods where students passively absorb knowledge transmitted through reading and explanations of textbook contents. Thus, this study examined how a cooperative learning method affected students' performance in mensuration. A quasi-experimental research design was used in the study. The sample comprised two intact classes of 80 students assigned to experimental and control groups selected from one senior secondary school in Ogun State. Data were collected using an adopted standardised mensuration achievement test (MAT), which takes an analytical approach that includes problem-solving, geometric reasoning, formula application, and conceptual comprehension. The results showed a statistically significant difference between the mean score (M=11.18, SD=3.09) of students taught mensuration using the cooperative learning method and the mean score (M=7.66, SD=3.32) of students taught mensuration without using the learning method of teaching (t (78)=9.50, p=0.00). Also, the mean score varied statistically significantly (M=7.66, SD=2.63) of male students taught mensuration using the cooperative learning method and the mean score (M=8.73, SD=3.08) of female students taught mensuration without using the learning method of teaching (t (78) = 6.58, p=0.00). Therefore, cooperative learning in mathematics classrooms fosters students' ability to create and achieve learning objectives.