Valentine Joseph Owan

Youth unemployment continues to pose a major challenge in Nigeria despite sustained government initiatives promoting entrepreneurship and empowerment. The National Youth Service Corps (NYSC) established the Skill Acquisition and Entrepreneurship Development (SAED) programme to provide graduates with practical skills that can stimulate job creation. Earlier studies have often examined entrepreneurial intentions rather than actual job creation after participation in SAED or the joint influence of demographic attributes and graduate attitudes on such outcomes. This study examined how age, gender, marital status, educational qualification, and graduate attitude relate to job creation among Nigerian corps members. A survey research design was used to gather data from more than nineteen thousand NYSC members who served between 2012 and 2021. Data were obtained electronically through social media platforms and analysed with descriptive statistics and logistic regression, while a machine learning model was used to assess the strength of predictive accuracy. The results showed that graduate attitude, educational qualification, and marital status were significant predictors of job creation, whereas age and gender were not. The model performed effectively, confirming the reliability of the findings. This study contributes to current understanding of graduate employment outcomes in Nigeria and provides useful evidence for improving entrepreneurship education and policy measures aimed at addressing youth unemployment. Keywords

This study investigated the relationships among undergraduate students’ awareness, perception, and preparedness to use artificial intelligence (AI) tools for decision- making during health emergencies in two Nigerian public universities (N = 4,632). A cross-sectional correlational design was adopted for the study. Data were collected using an online questionnaire with valid and reliable psychometric properties (α ≥ 0.90). One-sample t-tests revealed that undergraduates reported high levels of awareness (t = 55.97, < 0.001) and perception (t = 86.92, p < 0.001) regarding AI use.p Although their preparedness to use AI for decision-making during health emergencies was statistically significant (t = − 34.08, p < 0.001), the mean score was comparatively lower than the baseline value of 2.50, indicating a significantly low level of preparedness. Simple linear regression analyses revealed that AI awareness significantly predicted perception and preparedness. Perception also significantly predicted preparedness. Both awareness and perception jointly accounted for 9.6% of the variance in preparedness (F(2, 4629) = 247.08, p < 0.001). Relatively, awareness remained a significant predictor of preparedness (β = 0.304, p < 0.001) even after controlling for perception. In contrast, perception became insignificant in predicting readiness when awareness was controlled for. Random forest regression (RFR) was used to test predictive accuracy and assess non-linear patterns. The results showed that awareness and perception explained 26% (training set) and 25% (test set) of the variance in undergraduates’ readiness. RFR results solidified the importance of AI awareness as the top predictor (100% predictive importance) over perception (78% predictive importance). These findings suggest that foundationalknowledge is associated with increasing readiness to adopt AI during health emergencies. Therefore, educational interventions should focus on enhancing AI awareness to improve students’ preparedness higher institutions of learning. Keywords

Although extensive research has examined AI integration in education and the UTAUT2 model, few studies have explored ChatGPT adoption with demographic variables in Nigeria and other African contexts. Prior studies have analyzed the impacts UTAUT variables have on students’ behavioral intention and use of ChatGPT, yet little is known about how these relationships differ by demographic profiles. This study addresses that gap by investigating the influence of factors such as age, sex, and programme of study on these associations among Nigerian higher education students. A cross-sectional correlational design was used and data were collected from 8,496 students across various tertiary institutions in Nigeria, using a structured questionnaire. Data were gathered electronically between October 13, 2023, and February 14, 2024. Multigroup analysis within the framework of Partial Least Squares Structural Equation Modelling (PLS- SEM) was performed. Both measurement and structural model metrics are reported for all subgroups. Findings indicate that performance expectancy is associated with higher intention to use ChatGPT, particularly among males, older students, and those with advanced qualifications, while its relationship with actual use varies across age groups. Effort expectancy and social influence showed differing associations with intention and use depending on demographic characteristics. Facilitating conditions were generally linked to greater actual use, and both hedonic motivation and habit were consistently associated with intention and behavior. These results provide empirical evidence of demographic variations in ChatGPT adoption among Nigerian students and suggest that interventions promoting AI tools should consider these differences.

Graduates of distance education institutions (DEIs) often face limited social and economic opportunities, yet there is no evidence that DEI programmes are of lower academic quality than those of conventional universities. This study is an evaluation of the Postgraduate Diploma in Education (PGDE) programme of the National Teachers’ Institute (NTI) in three study centres in Akwa Ibom State, Nigeria. This is a census study of all 402 enrolled students, who responded to a 30-item achievement test and participated in a direct observation of teaching practice, assessed with a standard rubric. Secondary data were obtained from the National Minimum Benchmark for PGDE programmes and a checklist of physical facilities and equipment. Data were analysed using frequency counts, percentages, means, and standard deviations. Findings showed that students had a weak understanding of the philosophical and psychological foundations of education, though their knowledge of the sociological foundations was strong. Even though the academic staff met the minimum qualification requirements, the pedagogical skills of NTI students was low, and physical facilities were below the national benchmark. Overall, the programme in Akwa Ibom State did not fully align with national standards. These shortcomings in implementation of the programme may hinder the attainment of the PGDE objectives. Therefore, strengthening instruction in the philosophical and psychological foundations of education, enhancing pedagogical skills, and improving physical facilities are necessary steps for improving the quality of the programme.

There is currently a dearth of a culturally sensitive instrument for measuring job satisfaction among university lecturers in Africa, specifically Nigeria. To bridge this gap, we developed and psychometrically tested the Lecturers' Job Satisfaction Questionnaire (LJSQ) in two Nigerian universities. Content validity evidence was gathered through experts' ratings, with a quantitative approach followed in computing content validity indices at the item and scale level. The researchers refined and tested the Lecturers’ Job Satisfaction Questionnaire (LJSQ) through a systematic process. A focus group discussion with 10 university lecturers guided its initial development, followed by pilot testing with 3,122 lecturers divided into three subsamples: 262 for Exploratory Factor Analysis (EFA), 1,300 for Confirmatory Factor Analysis (CFA), and 1,560 for bifactor modelling. Participants were allocated systematically across the subsamples to ensure a balanced distribution. Results of data analysis revealed a five-factor structure encompassing satisfaction with work conditions, workload allocation, remuneration, career advancement opportunity, and research support. The bifactor model demonstrated the best fit, among four competing models supported by reliability measures such as Cronbach’s alpha, Omega coefficients, and split-half reliability, alongside convergent and discriminant validity, confirming its effectiveness in assessing job satisfaction. Conclusively, the applicability of the LJSQ transcends disciplinary and institutional boundaries, providing a foundation for future cross-cultural validation and longitudinal studies. Keywords:

Interdisciplinary research collaboration is crucial for addressing complex global challenges, and measuring researchers' perceptions of it is vital. The Perception of Interdisciplinary Research Collaboration (PIRC) Scale was meticulously developed and validated in this study to enable researchers to assess these perceptions comprehensively. The scale was developed in line with the team science theory. This cross-sectional study involved concept analysis, face and content validity, item pretesting, and pilot testing. A panel of eight specialists from relevant fields meticulously reviewed the items in the instrument, and their inputs and suggestions were followed to refine the instrument, resulting in a 64-item questionnaire. A sample of 1,932 academic staff members with interdisciplinary research experience were selected from six universities in South-South Nigeria for a pilot study. A simple random sampling technique was employed in selecting these participants. Exploratory factor analysis yielded six underlying dimensions within the PIRC Scale, such as: "challenges of Interdisciplinary Disciplinary Research (IDR) collaboration," "IDR collaborative experiences," "motivations for IDR collaboration," "benefits of IDR collaboration," "career impact of IDR collaboration," and "IDR team dynamics." Confirmatory factor analysis confirmed this structure and revealed the bifactor model as the best-fitting model over the unidimensional, oblique and higher-order models. Utilising the Fornell-Larcker approach, strong convergent and discriminant validity was established across all dimensions, with Average Variance Extracted (AVE) above .50 and the square root of the AVE for all factors being greater than the correlation coefficients of each factor with other factors. Cronbach's alpha and McDonald's omega values exceeded the acceptable threshold of 0.70, with item-total correlation analyses further supporting the reliability of each sub-scale and the overall instrument. In conclusion, the PIRC scale can be valuable for researchers, institutions, and policymakers to assess and enhance interdisciplinary research collaboration. It can empower stakeholders to obtain useful information about researchers' perceptions of interdisciplinary research, promote effective collaboration, allocate resources efficiently, and foster innovation.

Research assessment and grant funding are vital to higher education. However, the reliance on quantitative metrics in these processes has raised concerns about their validity and potential negative consequences. This study aims to investigate the game of numbers in research assessment and grant funding, focusing on the perspectives of experienced researchers from around the globe. Accidental sampling elicited responses from more than 15 experienced researchers across different academic disciplines, institutions, and countries. The data were collected from the popular “Reviewer 2 Must be Stopped!” Facebook platform, which includes more than 135,000 members across the globe. Two posts were made, allowing participants to share their experiences, perspectives, and concerns related to metrics and numbers in research assessment and grant funding. The results from the thematic analysis revealed diverse perspectives among experienced researchers. Some participants expressed concerns about the dominance of quantitative metrics, highlighting the limitations and potential biases associated with their use. Others acknowledged the value of certain indicators in showcasing research impact. Moreover, the impact of metrics on grant funding awards was also documented. The study highlights the necessity for a more balanced and context-aware approach to research assessment and grant funding, incorporating qualitative measures and acknowledging the diverse nature of research impact

Interdisciplinary research collaboration is crucial for addressing complex global challenges, and measuring researchers' perceptions of it is vital. The Perception of Interdisciplinary Research Collaboration (PIRC) Scale was meticulously developed and validated in this study to enable researchers to assess these perceptions comprehensively. The scale was developed in line with the team science theory. This cross-sectional study involved concept analysis, face and content validity, item pretesting, and pilot testing. A panel of eight specialists from relevant fields meticulously reviewed the items in the instrument, and their inputs and suggestions were followed to refine the instrument, resulting in a 64-item questionnaire. A sample of 1,932 academic staff members with interdisciplinary research experience were selected from six universities in South-South Nigeria for a pilot study. A simple random sampling technique was employed in selecting these participants. Exploratory factor analysis yielded six underlying dimensions within the PIRC Scale, such as: "challenges of Interdisciplinary Disciplinary Research (IDR) collaboration," "IDR collaborative experiences," "motivations for IDR collaboration," "benefits of IDR collaboration," "career impact of IDR collaboration," and "IDR team dynamics." Confirmatory factor analysis confirmed this structure and revealed the bifactor model as the best-fitting model over the unidimensional, oblique and higher-order models. Utilising the Fornell-Larcker approach, strong convergent and discriminant validity was established across all dimensions, with Average Variance Extracted (AVE) above .50 and the square root of the AVE for all factors being greater than the correlation coefficients of each factor with other factors. Cronbach's alpha and McDonald's omega values exceeded the acceptable threshold of 0.70, with item-total correlation analyses further supporting the reliability of each sub-scale and the overall instrument. In conclusion, the PIRC scale can be valuable for researchers, institutions, and policymakers to assess and enhance interdisciplinary research collaboration. It can empower stakeholders to obtain useful information about researchers' perceptions of interdisciplinary research, promote effective collaboration, allocate resources efficiently, and foster innovation.

This study was conducted to investigate the degree to which institutional variables such as: institutional location, ownership and leadership influence the job performance of academic staff across three dimensions: teaching, research productivity and community service. This ex-post facto study by design, tested three hypotheses. A total of 449 academic, randomly drawn from three (one private and two public) universities in Cross River State, Nigeria, participated in the study. Three sets of questionnaires were used for data collection after due validity and reliability tests. They included the “Institutional Variables Questionnaire (IVQ)”, the “Research Productivity and Community Service Questionnaire (RPCSQ)”, and the “Staff Instructional Delivery Questionnaire (SIDQ).” Collected data were analysed using the independent sample t-test, one-way analysis of variance (ANOVA) and simple linear analysis. Findings indicated that institutional location significantly impacts university academic staff across multiple dimensions—teaching, research, and community service— with urban institutions consistently demonstrating higher scores than their rural counterparts. There was a significant influence of institutional ownership on research productivity unlike teaching and community service. Federal institutions exhibited higher research productivity than both state and private universities. Institutional leadership significantly influenced research productivity and community service engagement, but not in the dimension of teaching among the academic staff. This study underscores the need for a holistic approach to enhancing academic staff performance. It emphasizes the importance of strategic resource allocation, collaborative endeavours, and strong leadership to create an environment where teaching, research, and community service thrive.

Previous research has extensively analysed teachers' and students' Facebook use for instructional engagement, writing, research dissemination and e-learning. However, Facebook as a data collection mechanism for research has scarcely been the subject of previous studies. The current study addressed these gaps by analysing students' awareness, willingness, and utilisation of Facebook for research data collection [RDC]. This study aimed to predict students’ Facebook use for research data collection based on their awareness and willingness and to determine age and gender differences in such predictions. A sample of 11,562 students of tertiary institutions participated in an online survey. The researchers designed and validated the online survey. Exploratory Factor Analysis was used for dimensionality. Average Variance Extracted [AVE] was used for convergent validity, whilst the Fornel-Larcker criterion and Heterotrait-Monotrait ratio were used for discriminant validity. Composite reliability indices of .97, .94 and .90 proved the instrument’s three sub-scales usable. One sample t-test and multigroup analysis were conducted using SPSS 27 and Smart PLS 3. The study found high awareness but low usage of Facebook for RDC among Nigerian university students. Younger and male students showed higher willingness and actual use of Facebook for RDC. Awareness directly impacted by awareness, and acted as Facebook usage for RDC, with stronger impacts for males and students aged 19 to 28. Willingness was positively impacted and acted as a negative mediator between awareness and usage for some age groups and genders. These findings provide important insights into using Facebook for RDC among students in Nigerian universities and highlight the need to consider the impact of demographic factors such as age and

Several studies have examined the challenges affecting the smooth implementation of inclusive education; focusing on resource inadequacies. However, these studies primarily relied on descriptive statistics: describing resource availability but not assessing their impact on policy implementation. The current study addresses this gap by analysing the extent of critical resource supply for implementing inclusive education and its influence on policy implementation. A descriptive survey design was adopted, targeting 281 principals from public secondary schools across three educational zones in Cross River State. Stratified proportionate sampling was used in selecting 120 principals as the sample. Data collection involved a structured questionnaire with an acceptable validity and a reliability indices. Descriptive statistics were used to answer the research questions, and Simple and multiple linear regression were used to test the hypotheses at the .05 level of significance. The findings of the study revealed low supply levels of physical, human, and financial resources for implementing inclusive education in secondary schools. The extent of inclusive education implementation was also found to be low. The study further indicated that the supply of physical, human, and financial resources collectively affected policy implementation, with physical resources having a greater impact. These results have practical implications for the government and stakeholders; emphasising the need for adequate physical, human, and financial resources to implement inclusive education in secondary schools. Keywords:

Previous research has assessed school facilities, administrative expenditures and curriculum and their relative contributions to students’ cognitive learning outcomes. This suggested the need to investigate further how these predictors may impact students’ affective and psychomotor outcomes. The current research studied the combined and relative prediction of school facilities, administrative expenses and curriculum on students’ overall cognitive, affective and psychomotor learning outcomes in public secondary schools. A cross-sectional research design was employed in this study, involving 87 school administrators and a randomly selected group of 915 senior secondary class II (SS2) students. For data collection, we utilised the School Inputs Questionnaire (SIQ) and Educational Outcomes Questionnaire (EOQ), both developed by the researchers and validated through expert assessments, including content validity, Exploratory Factor Analysis (EFA) for dimensionality, Confirmatory Factor Analysis (CFA) for goodness of fit, and reliability using Cronbach's alpha. The results of these assessments demonstrated acceptable outcomes aligned with international standards. Hierarchical regression analysis was conducted to analyse the collected data. The findings indicated that enhancing the provision of quality school facilities, administrative expenses, and school curricula improved students' overall cognitive, affective, and psychomotor learning outcomes. Specifically, administrative expenses and school curriculum had significant predictive power for students’ overall cognitive, affective, and psychomotor learning outcomes. However, while school facilities significantly predicted students' overall, affective, and psychomotor dimensions, they did not significantly predict the cognitive dimension. These findings offer valuable insights for policymakers and educators aiming to enhance the educational quality in public secondary schools

This study examined the degree to which students indulge in six prominent misconducts in Distance Education Institutions (DEIs). The study also quantified how class size, instructional delivery and institutional policies predict students’ indulgence in sharp practices using a general linear modelling approach. A sample of 871 participants was drawn from 1,742 final-year students across two DEIs in Nigeria. A structured questionnaire was used for data collection. The questionnaire had acceptable psychometric estimates of dimensionality, content and construct validity, as well as reliability. Sharp practices such as cheating, plagiarism, falsification, impersonation, and arm-twisting were more prevalent in large classes, whereas only inducement was higher in small classes. Class size influenced students’ indulgence in sharp practices in DEIs. Instructional delivery and institutional policies negatively predicted students’ indulgence in the six sharp practices. Almost all the six sharp practices correlated positively and significantly, except for impersonation and inducement. Therefore, distance education students who cheat, plagiarize, arm-twist, falsify records, induce lecturers, and promote impersonation are more likely to indulge in other forms of sharp practices. It was concluded that large class sizes, poor instructional delivery, and poorly implemented institutional policies promote sharp practices among distance education students. Based on this conclusion, key policy and research implications are discussed.

Appropriate measurement scales are fundamental in data analysis, allowing researchers to categorise, select appropriate statistical methods, and analyse and interpret their data accurately. The nominal scale is one such measurement scale in behavioural sciences, which is crucial in organising data into distinct categories. This paper provides an overview of the nominal measurement scale in research data analysis. It explains the characteristics and role of the nominal scale in organising data into distinct categories. The paper discusses methods of collecting nominal scale data, including surveys and observations. It explores the use of the nominal scale in descriptive (such as frequency counts, measures of dispersion and central tendencies), and inferential statistics (such as point biserial correlation, independent t-test, analysis of variance, logistic regression, discriminant analysis, differential item functioning, chi-square test of independence, Kruskal-Walli’s test, and Mann-Whitney U Test). Each technique is explained with assumptions and application areas. In conclusion, the paper emphasises the significance of the nominal scale in data analysis and its contribution to various statistical techniques. It serves as a comprehensive guide for researchers and practitioners looking to understand and utilise the nominal measurement scale in their data analysis

Purpose: This study evaluates staff Training and Development Programmes (TDPs) in secondary schools based on the views of administrators and teachers. The research was implemented in public secondary schools in Cross River State, Nigeria. Design/Methodology/Approach: The study adopted the survey research design with 5408 participants (administrators = 542; teachers = 4595). Four research questions guided the study. The Staff Training and Development Programmes Questionnaire (STDPQ) was used for data collection. Findings revealed essential areas of staff training and development. Findings: Various methods are employed for staff training and development. The results further showed various constraints that impeded staff TDPs in secondary schools. Conclusion: Based on the findings, it was concluded that staff in secondary schools have different training and development needs adjudged by both the principals and teachers as crucial for job enhancement. Various staff training and development methods can serve as valuable programmes to improve the current methods adopted. Research Limitations and Implications: There are various limitations in this study such as the small scope which may affect the extent to which generalizations can be made. It is suggested that future studies focus on expanding the scope to other regions and nations. Practical Implications: Despite the limitations, the study has made some advances to human capital and self-determination theories by providing findings. The findings of this study may direct the attention of curriculum planners, the government and school management to offer training and development opportunities based on the needs of teachers. Contribution to Literature: The study has contributed to the literature on staff training and development which can constitute a basis for further research in related areas.

There are contradictory results regarding how students' learning outcomes can be predicted by various family and community inputs among previous studies, creating an evidence gap. Furthermore, previous studies have mostly concentrated on the cognitive aspect of students' learning outcomes, ignoring the affective and psychomotor dimensions, creating key knowledge gaps. Bridging these gaps, this predictive correlational study was conducted to understand how cultural capital, parental involvement (family inputs), support for schools, security network and school reforms (community inputs) jointly and partially predict students' overall, cognitive, affective and psychomotor learning outcomes in the context of Calabar Education Zone, Nigeria. A random sample of principals (?? = 78) and students (?? = 915) recruited through a multistage approach, participated in the study. Data were collected through the physical administration of three sets of questionnaires designed by the researchers. The psychometric properties of the questionnaires (such as validity, dimensionality, reliability and goodness of fit) were all analysed and found acceptable based on pilot data. Data analysis was performed using SPSS version 27 and AMOS version 26 software. Results from the main study proved, among others, that family inputs (family social capital and parental involvement) jointly and individually had a significant contribution to students' overall, cognitive, affective and psychomotor learning outcomes. Similarly, community inputs (support for school, security network and school reforms) have significant composite and partial contributions to students' overall, cognitive, affective and psychomotor learning outcomes in public secondary schools. This result implies that parents and host community leaders must strengthen their partnerships with secondary schools and contribute their quota to institutions' curricular and co-curricular activities.

The state of the availability of digital resources and institutional compliance to COVID-19 mitigation measures was evaluated by the researchers in this study. Informed by the need to answer two research questions, the study adopted the descriptive survey design. A sample of 409 participants was drawn from a population of 2,410 academic staff at the University of Calabar, leveraging the multistage sampling process. “Availability of digital resources and institutional compliance with COVID-19 mitigation measures questionnaire” was used for data collection. After administration, we recovered 397 copies of the instrument successfully. We used descriptive statistics to answer the research questions. Our findings indicated a great extent in the availability of digital resources such as computers (91.18%), human capacity (63.48%), network printers (67.76%), projectors (59.19%), websites (92.95%), and wireless networks (86.65%). There was a low extent in the availability of digital resources such as local area network (5.79%), cloud storage systems (2.27%), digital libraries (7.56%), firewalls (1.26%), Internet service (48.36%), routers (23.69%), and Zoom videoconferencing platform (23.93%). The unavailability of digital resources such as host/servers (0%) and virtual private networks (0%) in the higher education institution (HEI). Further evidence shows a low extent of institutional compliance with COVID-19 mitigation measures generally and specifically for all indicators. In conclusion, there is a high degree of unreadiness to promote e-learning when flexible learning systems should operate in the institution. Among others, we recommend that the management of the HEI should apportion proceeds from internally generated funds to procure digital resources to increase the institution's capacity to respond to COVID-19 or similar cases in the future.

Background: Previous studies assessing students’ learning outcomes and identifying contributing factors have often dwelt on the cognitive domain. Furthermore, school evaluation decisions are often made using scores from cognitive-based tests to rank students. This practice often skews evaluation results, given that education aims to improve the three learning domains. This study addresses this gap by assessing the contributions of four students’ input to their cognitive, affective and psychomotor skills (CAPs). Methods: A cross-section of senior secondary class II students (n = 870), sampled through the multistage procedure, participated in a physical survey. Students’ Inputs Questionnaire (STIQ) and Learning Outcomes Questionnaire (LOQ) were used for data collection. Based on data obtained from a pilot sample (n = 412), principal axis factoring (PAF) was performed to assess the internal structure of the instruments following an oblique rotation. The KMO value of sampling adequacy were 0.88 and 0.94, while the Bartlett’s test of sphericity were significant χ2 (253) = 5,010; p < 0.001 and χ2 (105) = 3693.38, p < 0.001 for the STIQ and LOQ, respectively. Confirmatory factor analysis was used to assess the models’ acceptability based on the maximum likelihood estimation technique. The main study used hierarchical linear regression for data analysis. Results: Findings indicated that innate ability, health, motivation and social capital relatively and cumulatively predicted students’ overall, cognitive, affective and psychomotor learning outcomes. The proportion of variance explained by the predictors increased at different levels of the models with the addition of new variables. Students’ social capital reduced the effect of students’ innate ability regardless of their motivation and health status. Conclusion/implication: This study has provided evidence that the four students’ inputs are crucial predictors of their learning outcomes in the three domains. This result is helpful for school management to provide services aimed at improving the school climate for students’ motivation and social capital. The result can provide policymakers with a proper understanding of the constituents of learning outcomes and how policies can be aligned to secure quality student inputs for maximum productivity in education.

This study analyzed the behavioral characteristics of ICT users among postgraduate students leveraging the Latent Class Analysis (LCA). The study, anchored on the Planned Behavior Theory, followed the exploratory research design. It adopted the cluster random sampling technique in selecting 1,023 respondents from a population of 2,923 postgraduate students in four federal universities in South-South Nigeria. “Behavioural Characteristics and Job Creation Questionnaire (BCJCQ),” developed by the researchers, was used for data collection. Upon data collection and LCA analysis, the five-class solution was accepted as the best-fitting model, based on statistical fit indicators (such as AIC, BIC, entropy, Gsq, and Chsq) and theoretical grounds. Consequently, five classes of behavioral ICT users were identified and named based on their item–response probability, conditional on class. The five classes were named Trendy, Outmoded, Pragmatic, Disciplined, and Social users of ICT, with their unique characteristics discussed. The study tested for job creation differences among the classes using a one-way ANOVA and found a significant difference. On average, pragmatic users of ICT created more jobs than social, disciplined, and outmoded users. Trendy users were, on average, the minor job-creating class of ICT users. The study compared the bivariate differences in job creation among the classes using the Tukey HSD test of multiple pairwise comparisons. Based on the results obtained, discussions were made with implications for further research in the evolving area of LCA.

Previous research has interlinked alcohol consumption (AC), mental stress (MS), psychotic experiences (PE), and academic performance (AP) of students and psychological behavior of the general population. The current study seems to be the first to consider the joint and partial mediation effects of MS and PE in linking AC to graduates’ job performance in specific areas such as teamwork (TW), communication competence (CC), customer service (CS), and job functions (JF). A virtual cross-section of 3,862 graduates with self-reported cases of having taken alcohol in the past participated in the study. These participants responded to an electronic questionnaire that was mailed to them. The instrument used for data collection had acceptable psychometric properties. The study used the partial least squares structural equation modeling (PLS-SEM) to achieve its objectives. The inner and outer models were all evaluated for quality and goodness of fit. Results showed a significant negative effect of AC and MS on graduates’ job performance in terms of TW, CC, CS, and JF, respectively. AC had a significant positive effect on MS and PE. MS had a significant positive effect on PE. A significant joint mediation effect of MS and PE was found in linking AC to graduates’ TW, CC, and CS, excluding JF. MS partially mediated AC’s paths to all the graduates’ job performance indicators. PE was only a significant partial mediator of the connection between AC to JF, but not TW, CC, and CS. This study’s result can help improve graduates’ work effectiveness and has revealed some negative predictors. Therefore, it is recommended that graduates avoid alcohol or only consume mild quantities of it to enable them to discharge services effectively at the workplace.

Academic publishing refers to the action taken by individuals or organisations to make scholarly materials publicly available. The research process is not complete and relevant until research results are made available to the public through publication (Owan et al., 2021). The essence of any scholarly venture is to create knowledge or modify existing knowledge. Knowledge cannot be said to have been created if the scholarly output is stored on a personal computer accessible only to the author(s). Through publication, other scholars or the general public become aware of the finished product of a scholarly venture. Scientific publications are the lifeblood of science because they serve as fertilisers for other scientists to think (Clapham, 2005). New hypotheses are generated, rebutted, or verified by publishing new information in the scientific community. In academic settings, the number of publications a person has to their name is commonly used as a proxy for their level of career success.

There are two primary roles of universities – a place of learning and where new ideas and technologies are created. Universities profit from teaching and learning, research, and technology positions. It is the responsibility of institutions of higher learning to produce capable and self-directed learners who are confident and capable of contributing to society through leadership or civic engagement. Universities also prepare students for high-level employment. These institutions are also there to generate new knowledge, shift paradigms, assist society in fulfilling its evolving needs and tackle new problems. Universities have further been tasked with developing highly competent staff and research output to attain their stated objectives.

This research examined the management of financial and non-financial resources by Calabar Metropolis’ public secondary school principals in relation to the fulfillment of institutional goals. Null hypotheses were developed based on the two specific objectives guiding the study. The study used the ex-post facto research design under the quantitative research framework. A census approach was adopted in enumerating all the 69 school managers (24 principals and 45 vice principals) in Calabar Metropolis, Nigeria. A validated questionnaire, with a reliability index of .90, was used for data collection. It was shown that there is a considerable association between the management of financial resources by school leaders and the fulfillment of institutional goals. A significant relationship was also established between principals’ management of non-financial resources (such as school libraries, school records and human resources) and the fulfillment of institutional goals in secondary schools. It is argued that to fulfil educational goals, financial and non-financial resources’ management in public secondary schools are critical. Policy and theoretical implications for successful educational management were discussed in light of this result.

Introduction: Research has documented the prevalence of different HIV/AIDS prevention programs launched to reduce the spread of the virus. However, the extent to which the success or otherwise of these programs are achieved is rarely discussed. This study addresses this gap by analyzing the impact of three socioeconomic parameters on the evaluation of HIV/AIDS prevention programs in the Southern Senatorial District of Cross River State, Nigeria. Methods: A sample of 239 health care employees selected using the proportional stratified random sampling technique participated in the study. A priori power analysis (using G*power) indicated that the sample size was large enough to achieve a 96.7% statistical power. Data was collected using a structured questionnaire. Exploratory factor analysis assessed the dimensionality of the instrument. Acceptable construct and discriminant validity and composite reliability coefficients were obtained. At the .05 alpha level, the null hypotheses were tested using a one-way analysis of variance. Findings: Findings indicated that the evaluation of HIV/AIDS prevention programs significantly varied with the level of funding provided (F[2, 236]=81.11, p<.001), human capacity available (F[2, 236]=40.91, p<.001), and stigmatization to people living with AIDS (F[2, 236]=40.79, p<.001). Health facilities with higher funding and human capacity successfully evaluated HIV/AIDS prevention programs. However, the evaluation of HIV/AIDS prevention programs was lower in areas with a high level of stigmatization. Conclusion and implication: This study’s findings provided evidence that funding, human capacity, and stigmatization affect how HIV/AIDS pandemic can be effectively evaluated. This study implies that additional responsibility is required for public health workers to promote quality service delivery across different health facilities. Keywords:

This study used a partial least squares structural equation modelling (PLS-SEM) to estimate curriculum management's direct and indirect effects on university graduate programmes' viability. The study also examined the role of institutional effectiveness in mediating the nexus between the predictor and response variables. This is a correlational study with a factorial research design. The study's participants comprised 149 higher education administrators (23 Faculty Deans and 126 HODs) from two public universities in Nigeria. A structured questionnaire designed by the researchers was used for data collection. The questionnaire was duly validated with an acceptable scale and item content validity indices. The dimensionality of the instrument was determined using exploratory factor analysis (EFA). Convergent validity was based on Average Variance Extracted (AVE), whereas discriminant validity was based on Fornell-Lacker criteria and the Hetero-Trait Mono-Trait (HTMT) ratio. Acceptable composite reliability estimates of internal consistency were reached for the three sub-scales. Following ethical practices, the questionnaire was physically administered to respondents and retrieved afterwards. Smart PLS (version 3.2.9) and SPSS (version 26.0) programs were used for all the statistical analyses. This study uncovered significant direct and indirect effects of curriculum management on the viability of graduate programmes. Institutional effectiveness significantly impacted graduate programmes’ viability while mediating the nexus between curriculum management and graduate programmes’ viability. Curriculum management and institutional effectiveness jointly explained a significant proportion of graduate programmes’ viability variance. The result of this study proved that graduate programmes’ viability depends, to a great extent, on how much curriculum is managed and how effective institutions are with their services. The result of this study can enable institutions seeking to run viable graduate programmes to re-evaluate their curriculum management practices and the effectiveness of their services.

Available reports provide an account of academic staff’s poor job performance in higher education institutions and universities in particular. Consequently, a growing body of research has been attracted to this area, including those seeking ways to understand the problem and others aimed at proffering solutions. This study contributes to the literature by investigating the influence of occupational stress on the job performance of academic staff in universities. Three null hypotheses directed the study in line with the quantitative ex-post facto research design. A sample of 150 respondents was obtained using the systematic random sampling technique from a population of 400 lecturers in the Faculty of Education from two public universities in Nigeria. A 31-item questionnaire was used for data collection. The null hypotheses were tested at the.05 alpha level using simple linear regression analysis. It was revealed that remuneration is a significant positive predictor of academic staff job performance. The prediction of workload was negatively non-significant on the job performance of academics. The provision of institutional amenities has a positive but non-significant prediction on academic staff job performance in the two public universities. It was concluded that occupational stress significantly influences the job performance of lecturers in universities. The study recommended that the government constantly pay lecturers’ salaries as and when due. Institutional managers should reward lecturers with outstanding performance to boost their morale for effective service delivery.

INTRODUCTION: Many higher education students indulge in risky eating behaviours which tend to affect their physical, psychological and academic health. Previous studies have tried to understand the trend in students’ eating patterns without paying adequate attention to contributing factors. PURPOSE: This study evaluated the influence of selected psychological variables on the consumption of balanced diets among students in two public universities in Calabar Metropolis, Nigeria. METHODOLOGY: A research question was posed, and a formulated hypothesis to guide the study. The study adopted the descriptive survey research design. A total of 12,530 faculty of education students spread across two public universities in Calabar Metropolis constituted the population of this study. A sample of 125 students was randomly selected through the stratified technique. A four-point questionnaire was used for data collection after validation by experts. Descriptive statistical measures such as mean, standard deviation, and percentages answered the research question. The null hypothesis was tested at the.05 level of significance using the one-sample t-test analysis. RESULTS: Findings revealed that the influence of psychological variables (such as stress, emotions, and mental state) on students’ consumption of balanced diets is not significantly low. RECOMMENDATIONS/CLASSROOM IMPLICATIONS: Based on the findings of this study, it was recommended that students cultivate the habit of always eating quality meals rich in nutrients, irrespective of their psychological state, to maintain a healthy life.

Despite the changes in human behaviour and interactions occasioned by the COVID-19 pandemic, many institutions are yet to adapt to the new normal fully. While some educational institutions switched entirely to e-learning to promote teaching and learning, others could not offer education due to physical and social restrictions. Previous studies in Africa have identified reasons for the poor ICT adoption for educational purposes. However, the degree to which these factors affect ICT utilisation is barely analysed. Using a quantitative approach, this study assessed ICT deployment for teaching in the COVID-19 era by focusing on their availability and challenges. A sample of 344 respondents from a population of 2,867 academic staff at two Nigerian public universities participated in the study. After receiving face validity from experts, a structured questionnaire was used for data collection. Cronbach alpha reliability indices of the questionnaire ranged from 0.72 to 0.94. Descriptive statistics (simple percentages, mean, and standard deviation) and inferential statistics (one-way ANOVA) were used for data analysis. Findings generally revealed a moderate extent in the availability of ICT resources in public universities. The cost of data, computer literacy, and electricity supply are challenges that significantly affected ICT deployment in the COVID-19 era. Based on this finding, it was concluded that personal and institutional challenges affect how ICT resources are deployed in public universities. It was recommended, among other things, that the management of each tertiary institution should apportion proceeds from internally generated revenue to procure ICT resources specific to the need of the school. The study provides the ground for further research into students’ use of ICT for educational purposes.

A preponderance of empirical research in higher education exists on the use of electronic resources to promote university education and learning. This suggests that this area of research has attracted significant interest worldwide. However, there seems to be inadequate information on the association between specific electronic infrastructures, how they are utilized for learning, and their effects on students’ learning effectiveness in higher institutions in Nigeria. This research draws on previous studies and seeks to establish how different electronic resources are used in universities and how they impact students’ learning effectiveness. Using a descriptive survey design, this survey examined 1,452 participants (undergraduates and postgraduates) from Nigerian universities. The data were analyzed using mean and standard deviation, while a Polytomous Logistic Regression Model was used in testing the hypothesis formulated. Findings showed that the degree of the use of digital infrastructures in universities is low. The extent of learning effectiveness among students in universities is also low. The usage of e-infrastructures (such as e-learning, e-communication, and e-library tools) significantly predicted students’ levels of learning effectiveness. Based on these results, conclusions and relevant theoretical and practical implications are discussed for policy reforms in education and e-learning. This study faces a limitation arising from the small number of universities studied. However, it is suggested that future related studies extend their focus beyond the context of Nigeria.