University of Ibadan Journals
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PRINCIPALS’ LEADERSHIP STYLES AND CONFLICT MANAGEMENT STRATEGIES IN PUBLIC SECONDARY SCHOOLS IN EDO STATE
Get PDFThe study investigated principals’ leadership styles and conflict management strategies in public secondary schools in Edo State. To guide the study, two research questions and three hypotheses were raised. The study was a descriptive research design adopting the correlational research design. The population of the study was all the 136 principals in the public secondary schools in Edo South Senatorial District. The sample size of the study is 68 principals constituting 50% of the population. The Principals’ Leadership Styles Questionnaire (PLSQ) and Conflict Management Strategies Questionnaire (CMSQ) were used to collected data. The data was analysed using the Pearson Product Moment Coefficient Statistics and Fisher Z-test. The findings revealed that the predominant principals’ leadership style is the charismatic leadership style, while the predominant conflict management strategy is the accommodating conflict management strategy. The study further revealed that there was a significant relationship between leadership styles and conflict management strategies. However, there was no significant difference in the relationship between leadership styles and conflict management strategies based on gender and experience. It was therefore recommended that ministry of Education should create leadership training programmes to educate leaders on the various styles of leadership, expose principals to the different conflict management strategies and gender and experience should be considered in appointing a principal
ASSESSMENT OF ECOLOGICAL PREDICTORS OF MORAL DECADENCE IN OYO STATE, NIGERIA
Get PDFThis study determined the factors responsible for moral decadence hope that such findings will pave the way to remedy that will help in finding solutions to the challenges facing the adolescents in our society. The study adopted a descriptive survey research design of the ex-post-facto type among the characteristics of the adolescents and young children in Oyo State, Nigeria with the ex-post-facto type. The population of the study cut across the age categories of adults from age 30 and above. Stratified random sampling was used to get the samples for the study. The population involved were male and female and of different ethnic groups with 250 Yoruba, 167 Hausa and 83 Igbo. A self-administered method of data collection was used with a reliable and valid instrument. The instrument was divided into six sections. The first category measured the demographic information of the respondents, while sections B to F measured the government, society, school, religious organisations, the parents and the children themselves a contribution to the adolescents and youths moral decadence in the State. The reliability coefficient of the instrument was 0.87. The instrument response format patterned after the Likert format, ranging from strongly agree to strongly disagree. The findings showed that the government, society, parents, school and religious organisations have lost the expected roles on morality. Parenting style, unwillingness to take to correction by the children, get-rich-quick syndrome, parents looking for money at the detriment of taking care of the children, possession of the sophisticated phone, exposure to bad films, the use of hard drugs, broken home; age at marriage, not having good role model, unemployment and so on, and many others are the reasons why the society has experience incivility in the towns and cities. The researcher concluded that the problems with children are caused by the government, schools and religious organisations, society, parents and the children themselves. Recommendations were made that urgent attention should be taken to impart good behaviour in to the life of our adolescents, that schools and religious organisations should do the needful by teaching the fear of God that will make them be good children in the society
COMPENSATION MANAGEMENT AND TEACHER JOB EFFECTIVENESS IN PRIVATE SECONDARY SCHOOLS IN OGUN STATE
No full textThe study explored the relationship between compensation management and teachers' job effectiveness in private secondary schools in Ogun State. The descriptive survey design was employed with sample of 448 respondents selected through multi-stage sampling. Two research instruments, "Teacher Compensation Questionnaire (TCQ)" and "Teacher's Job Effectiveness Rating Scale (TJERC)," were used. Descriptive statistics and Pearson's correlation were applied to analyze the data. Findings indicated that private junior secondary schools offered a compensation system comprising salary and transportation, with teachers' overall compensation level considered poor despite their high job effectiveness. The study revealed a positive relationship between compensation and job effectiveness, with significant correlations between various compensation components and job effectiveness. Consequently, the study concluded that a positive relationship existed between teachers' compensation and job effectiveness and recommended that private school management improve teachers' compensation levels to reach an average level, enabling them to compete with the pay offered in public schools
Customer Churn Prediction in Telecommunications Using Ensemble Technique
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The telecommunications industry understands the hyperlink between consumer pleasure and revenue. Customer attrition is a term used in the telecommunications industry to describe when a customercompany relationship ends. The churn forecast has recently intrigued stakeholders in the telecommunications industry. They learned that retaining customers is much more cost-effective than acquiring new ones. This paper presents an ensemble-based telecom churn predictive model of machine Learning (ML) algorithms such as XGBoost (extreme gradient boost), LightGBM, Random Forest (RF), and CatBoost. Using ML-based models for predictive analytics is very important in the telecommunications industry when it comes to predicting customer attrition. The ensemble method model helps the telephone company predict if a customer is likely to cancel. In addition, several algorithms such as XGBoost, LightGBM, RF, and Cat Boost have been integrated into this study using an ensemble technique called stacking, and metaheuristics have been developed with the telecoms business, to forecast customer attrition. According to the results of this study, the proposed method confirms performance in predicting customer churn with an accuracy of 92.2%
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) USAGE AS EFFECTIVE TOOL FOR TEACHING AND LEARNING DURING COVID-19 PANDEMIC IN TERTIARY INSTITUTIONS IN OYO STATE
Get PDFThis paper investigated ICT usage as a vital tool for effective teaching in tertiary institutions in Oyo State. Descriptive survey research design was adopted for the study. The population was made up all the ten public tertiary institutions in Oyo State. The population comprised of 2,832 lecturers in the four selected tertiary institutions. Simple random sampling technique was used to select 531 lecturers. Purposive sampling method was used to select four tertiary institutions. Four research questions were raised and one hypothesis formulated. Questionnaire was the instrument used to collect data for this study. Four types of questionnaires were administered respectively; Availability of ICT facilities (AICTF), Frequent Usage of ICT (FUICT), Teachers’ Attitude towards ICT Usage (TAICTU) and Challenges of Using ICT (CUICT). The reliability of the instrument was ascertained by using Chronbach Alpha. The reliability co-efficient of 0.71, 0.75, 0.70 and 0.81 was obtained. Simple percentage was used to answer research questions and Pearson Product Moment Correlation was used to analyze the hypothesis. The findings revealed that ICT facilities were inadequate. It was recommended among others that: government, philanthropist and all education stakeholders should join hands to equip tertiary institutions of learning with ICT resources
EFFECT OF ENVIRONMENTAL FACTOR VARIATION ON ACADEMIC PERFORMANCE OF SENIOR SECONDARY SCHOOL STUDENTS IN ADAMAWA STATE, NIGERIA
No full textThis study examined the effect of environmental factor variation on the academic performance of senior secondary school students in Adamawa State, Nigeria. The study used descriptive survey research design. The population of the study was 295 teachers and 547 students. Descriptive statistics of mean and standard deviation were used to answer the research questions while School Effect of Environmental Factor Questionnaire (EFQ) was used for data collection. The study revealed that inadequate classroom spaces, poor ventilation and inadequate laboratory affects students’ academic performance. Inadequate provision of instructional, qualified teachers and location of school affected senior secondary school students’ academic performance, attitude and accessibility to learning facilities negatively in Fufore L.G.A., Adamawa State. The study recommended among others that government and other relevant agencies should ensure that educational resources (human and material) are evenly distributed to schools. In addition, learning environment should be made safe for teaching and learning
DO THE INFORMATION AND COMMUNICATION TECHNOLOGY (INTERNET AND PHONES) MAKE EARTH TO SHRINK?
No full textOwing to apparent demise of real world interaction; scholars’ opinions were varied about Earth’s shrinkage. Aptly, this paper explored perspectives of Earth’s shrinkage. In doing this, Earth’s description, shrinkage, expansiveness, theories of shrinkage, concept of time-space compression, implications of internet and phones on communication and accomplishment of tasks were examined. It was revealed that no established scientific proofs indicating that the Earth is expanding, internet and phones made physical connection simpler, faster, reduced physical, social, economic, psychological distances and increased demise of real world interaction. Finally, Earth seems shrinking due to annihilation and compression of space by time. The study recommended that phone calls should be made among developing countries, local internet content developers should be trained to upload local information resources; governments in developing countries should add local information resources on the internet to reap the benefits of annihilation of space by time
SELECTION PROCESS AND TEACHERS’ JOB PERFORMANCE IN PUBLIC SECONDARY SCHOOLS IN OSUN STATE, NIGERIA
No full textThe study investigated the influence of selection process on job performance of teachers in public secondary schools in Osun State, Nigeria. It adopted the quantitative research design. The population of the study comprised of 3,546 teachers in 364 senior secondary schools in Osun State, out of which 569 were selected using multi-stage sampling procedure. A self-designed instrument was used for data collection. A test re-test method was used for the reliability of the instrument with a coefficient of 0.766. Two hypotheses were formulated and tested with regression analysis and both hypotheses were significant at 1 percent level of significance. Findings of the study revealed that teacher’s qualifications and placement influence teachers’ performance in schools in Osun State. Based on the findings, the study recommended that government follow due process in employing qualified teachers and teachers should be made to teach subjects only in their subject area, for better learning outcome
Critical Success Factors and Key Performance Indicators for Real Estate Service Business in Nigeria
Get PDFThe goal of this paper was to create a model of Critical Success Factors (CFSs) and Key Performance Indicators (KPIs), which can be used to keep track of service business activities for enduring real estate practice in emerging economies. As a reference to real estate specialists in emerging economies, the study reviewed and analysed relevant papers with respect to the subject matter in various industries, both locally and in developed economies. Appropriate theories were also explored in the paper, which were drawn from the field of business management that suggest how business performance is measured. Using the narrative method of literature review, the study identified successful applications of the models of CSFs and KPIs that can be applied to the real estate industry. Thus, the CSFs in real estate practice are reported as comprising STEEPLE and POET factors and the KPIs are reported as comprising financial and non-financial performance indicators. Corporate real estate management is comparatively new in the real estate industry of African nations such as Nigeria. The corollary is the collapse of many real estate firms with its untold negative effect on the real estate profession. Understanding CSFs and KPIs in service business is a major pathway to developing sustainable real estate practice. This study is a good primer for real estate administrators in emerging markets who want to use CSFs and KPIs to improve their companies' operational effectiveness. This paper's contribution to knowledge is in the originality of bringing to the fore, the applicability of the concepts of CSFs and KPIs for real estate service business management and performance measurement. Quantitative research on the subject is likely to yield further discussion
A Model for the Detection and Prevention of Backdoor Attacks Using CNN with Federated Learning
Get PDFBackdoor attacks frequently stimulate "backdoor neurons," which are neurons that only become active when backdoored pictures are present. According to studies, removing the "backdoor neurons" could significantly reduce backdoor attacks without significantly affecting model performance. However, because these pruning techniques rely on trustworthy sources of "clean" data, which are not always available in federated learning scenarios (which are intended to safeguard the privacy of customers' data), they cannot be applied directly in our situation. This paper presents a deep learning model for the detection and prevention of backdoor attacks using convolutional neural network with federated learning. The model was trained on a dataset that comprises of 9 classes of MNIST (Modified National Institute of Standards and Technology)| images, of which 8 classes of thedataset were of different classes of backdoor attacks and the class is of non-backdoor attack. The dataset was pre-processed by performing data normalization and scaling. The normalized and scaled data was used as an input parameter in training a CNN model for the detection and classification of backdoor attacks. The model was trained on a training epoch of 10, batch_size=128, and optimizer =’Adam’. The model achieved an accuracy of 99.99% for training and 99.98 for validation. The model was evaluated using classification report and confusion matrix. The result of the evaluation matrix shows that the model is in good performance. After training and evaluation of the convolutional neural network model, we simulated the federated learning model by creating 10 number of clients. The client samples were determined by dividing the length of the trained data with the number of clients (10). The federated learning model achieved an accuracy of 99% accuracy. This also shows that the model is of good performance