The strength of agreement of students’ academic performances as a counseling guide for the university prospective admission seekers

Abstract This research examines the strength of agreement of students’ academic performances for their first and graduating year in the University using Cohen’s kappa. Academic records of 710 students which consist of students Grade Point Average (GPA) and Cumulative Grade Point Average (CGPA) for their first and graduating year. This paper is to examine the final academic performances of students in the University based on specific information regarding their academic performances during their first year at the University. This study reveals that a strong agreement exists between the students’ first and graduating year academic performance in their result. This work will serve as a useful counseling guide to prospective admission seekers and all stakeholders at enhancing students’ academic performances in the University system. This study is divided into five sections: introduction, literature, methodology, discussion while the study limitation and future study forms the part of the conclusion

Trend of social media news:a viewpoint of COVID-19 tweets using natural language processing

Abstract The meteoric rise of social media news during the ongoing COVID-19 is worthy of advanced research. Freedom of speech in many parts of the world, especially the developed countries and liberty of socialization, calls for noteworthy information sharing during the panic pandemic. However, as a communication intervention during crises in the past, social media use is remarkable; the Tweets generated via Twitter during the ongoing COVID-19 is incomparable with the former records. This study examines social media news trends and compares the Tweets on COVID-19 as a corpus from Twitter. By deploying Natural Language Processing (NLP) methods on tweets, we were able to extract and quantify the similarities between some tweets over time, which means that some people say the same thing about the pandemic while other Twitter users view it differently. The tools we used are Spacy, Networkx, WordCloud, and Re. This study contributes to the social media literature by understanding the similarity and divergence of COVID-19 tweets of the public and health agencies such as the World Health Organization (WHO). The study also sheds more light on the COVID-19 sparse and densely text network and their implications for the policymakers. The study explained the limitations and proposed future studies

University student’s academic performance:an approach of Tau statistic

Abstract The poor performance of tertiary graduates in Nigeria has been the subject of speculation for stakeholders in the education sector. In pursuance of Academic excellence, Nigeria’s target is to become one of the top 20 economies. Performance is the ability of a student to complete a task. The task completion results could be positive or negative. Academic performance in private universities is undulating between first and third classes. These results are in public universities. If the result is positive, it indicates that the student performs brilliantly or excellently, but on the other hand, if it is negative, it indicates woeful performance. Student performance is an outcome of a rigorous evaluation through examination or other assessment methods. Performance criteria start from day one on campus, and it extends and accumulates to the end of the student’s study. The study uses 1841 students’ academic records from seven Engineering departments from the School of Engineering, Covenant University, Nigeria. This study examines the relationship between the first year and final year results and the reliability between first year results and final year results. The methodology adopted in this study is a quantitative technique. The analysis for the study carried out with IBM SPSS version 27 using Pearson correlation and Tau statistic. The Pearson correlation coefficient shows a strong positive correlation between the students of the first year and final year results, and it shows a significant linear relationship between students’ first and final year results from the seven departments. This work will serve as a valuable source of advice to stakeholders in the education sector, inside and outside the university system, to enhance students’ academic performance in the University system

Investigating machine learning methods for tuberculosis risk factors prediction:a comparative analysis and evaluation

Abstract Tuberculosis (TB) is a killer disease, and its root can be traced to Mycobacterium tuberculosis. As the world population increases, the burden of tuberculosis is growing along. Low-and-middle-income nations are not exempted from the tuberculosis crisis. Due to a shortage of medical supplies, tuberculosis bacteria have become a huge public health concern. This study reviewed recent literature from 2015 to 2020 to critically examine what earlier researchers have done about TB burden and treatment. The data used were based on the hospital’s medical department’s record and used a machine-learning algorithm to predict and determine the risk factors associated with the disease. Furthermore, it developed five predictive models to offer the medical managers a valid alternative to the manual estimation of TB patients’ status as cured or not cured. The overall classification showed that all the classification methods performed well for classifying the TB treatment outcome (ranging between 67.5% and 73.4%). Our findings showed that MLP (testing) is the best model to predict TB patients’ treatment outcomes. Age and length of stay were identified as significant risk factors for TB patients in this study. This study explains the study’s limitation, contributions, managerial implications, and suggest future work

Do teamwork experience and self-regulated learning determine the performance of students in an online educational technology course?

Abstract This study uses the quantitative research approach to examine the connection between students’ teamwork experience, self-regulated learning, technology self-efficacy, and performance in an online educational technology course. Sixty-three (63) students participated in this study. The study data were collected through an online questionnaire that included background information, course satisfaction, motivation strategies for learning, and online technology self-efficacy, to study the variables’ interactions using quantitative research. To realize this study’s aims, multivariate regression and correlation approaches were employed to analyze the online students’ data. The multivariate regression analysis results show a relationship between self-regulated learning, the online course level, and the number of online courses that the students have completed. Right self-regulated learning strategies in online courses motivate students to strive for a good teamwork experience, leading to increased interest in online learning. In addition, the results also show that there is a relationship between satisfaction and the level of the online course. Achieving good grades makes the student more satisfied and improves the level of technology use. Finally, this study established a relationship between the students’ motivation and the online course level. Therefore, teachers and course designers should implement learning objects that promote students’ engagement and motivation in online learning environments

Concomitant with Nigerian road traffic accidents:an application of a generalized linear model

Abstract This study aims to apply a generalized linear model for investigating the relationship between road traffic accidents and the resulting fatalities in Nigeria. The main objectives are to determine the most suitable model fits, compare the models used, and examine the relationship between the total cases and log deaths by modelling the number of road traffic accidents in Nigeria. The study adopts Poisson regression and negative binomial regression model for data analysis to achieve the set goals. The data used for this research are secondary data collected from annual reports on road traffic accidents of the Federal Road Safety Commission of Nigeria between 1960 and 2017. The study establishes that the number of traffic accidents on roads in Nigeria is continually increasing, and efforts by the government and relevant agencies have been mostly unsuccessful in addressing this danger. Moreover, the highly dangerous conditions on Nigerian roads result in a daily loss of innocent lives that otherwise would have significantly contributed to economic growth

Data analytics:an exploration of quality control to determine students’ academic performance

Abstract Quality control and improvement is a crucial process development of any institution that craves growth. One part of the SPC approach is to aid the constant improvement of performance by further reducing unexplained variability. Another aspect of Statistical Process Control (SPC) is that planned and unplanned changes signaled as fast as considering the natural process variability. This paper aimed to determine whether students’ performance is significantly distributed according to academic patterns using the quality control procedure. This study found that one of the notable Nigerian Private University student academic performances drawn from three engineering departments based on the mean chart is in control and out of control, indicating excellent, intermediate, and lower results. The study also shows upper, average, and lower results with a close margin. This insight is an interdepartmental issue. The school managers need to formulate a holistic policy that will improve the existing academic performance to move the outlier students from worst to better and from better to best

The mediation of financial return between innovation and sustainability of small social entrepreneurship:a case of developing country

Abstract The purpose of this study is to establish the mediation of financial return between innovation and sustainability of small social entrepreneurship. Earlier research is limited in this perspective, and therefore this study focuses on filling the gap as far as the relationship between innovation and sustainability of social entrepreneurship is concerned. The research data for this study comes from Nigeria by adopting a Likert Scale questionnaire through a convenience sampling approach. In the data analysis, this research utilized SPSS ver. 25 and SmartPLS ver. 3.2.8 for descriptive statistics, structural equation modeling, and mediation analysis. At the end of the study, the findings show that there is a direct relationship between entrepreneurial innovation and its sustainability, which is mediated by financial return in the developing countries’ settings. While this study has successfully established the clarity concerning the relationship between the chosen variables including, innovation, financial returns, and sustainability of social entrepreneurship in the developing countries, there is the need for further research due to the global significance of social entrepreneurship. The research discusses the limitation of the study and recommends future research to focus on comparative study between countries, gender divergence study, culture, and technological effects in social entrepreneurship

Generalized cure rate model for infectious diseases with possible co-infections

Abstract This research mainly aims to develop a generalized cure rate model, estimate the proportion of cured patients and their survival rate, and identify the risk factors associated with infectious diseases. The generalized cure rate model is based on bounded cumulative hazard function, which is a non-mixture model, and is developed using a two-parameter Weibull distribution as the baseline distribution, to estimate the cure rate using maximum likelihood method and real data with R and STATA software. The results showed that the cure rate of tuberculosis (TB) patients was 26.3%, which was higher than that of TB patients coinfected with human immunodeficiency virus (HIV; 23.1%). The non-parametric median survival time of TB patients was 51 months, while that of TB patients co-infected with HIV was 33 months. Moreover, no risk factors were associated with TB patients co-infected with HIV, while age was a significant risk factor for TB patients among the suspected risk factors considered. Furthermore, the bounded cumulative hazard function was extended to accommodate infectious diseases with co-infections by deriving an appropriate probability density function, determining the distribution, and using real data. Governments and related health authorities are also encouraged to take appropriate actions to combat infectious diseases with possible co-infections

Unemployment, personality traits, and the use of Facebook does online social support influence continuous use?

Abstract Different personality traits respond differently to unfavourable life situations. Unemployment can have several negative social, economic, and domestic consequences. Many people use social media for a variety of reasons. The aim of this study is to examine the way different personality traits respond to Facebook in the period of unemployment. Data was obtained from 3,002 unemployed respondents in Nigeria. The study used regression model to analyse the data. Among the five personality traits, results indicated that the relationship between neuroticism and online social support was negative. However, the relationship between online social support and satisfaction was positive. The study highlights several theoretical and practical implications