University of Ibadan Journals
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HUMAN RESOURCE FACTORS AND EMPLOYABILITY OF EDUCATIONAL MANAGEMENT UNDERGRADUATES IN SOUTHWEST, NIGERIA
No full textThis paper examined the nexus between human resource factors and the employability of Educational Management undergraduates in Southwest, Nigeria. The study employed descriptive survey research design of correlational type and multi-stage sampling technique to select 1,201 300L educational management undergraduates and 154 educational management lecturers in the eleven universities that offer educational management in Southwest, Nigeria. A self-structured questionnaire titled ‘Human Resource Factors and Employability (HRFEQ’) was used to collect data for the study. Findings revealed prevalence of a low level of employability of educational management undergraduates in areas of competence (x? = 2.355) and attitude (x? = 2.434) and that the level of human resource factors in terms of lecturers’ classroom management abilities (x? = 2.376) is also low, but high in the area of lecturers’ attitude (x? = 2.624 ). Thus, the study recommended regular supervision of educational management lecturers’ classroom management by the National Universities Commission (NUC) with the aim of improving their competence in this area, among others
POVERTY, CHILD LABOUR AND ACCESS TO SCHOOLING IN OYO STATE
No full textThis empirical study investigated the intricate interplay among poverty, child labour, and access to schooling in Oyo State, Nigeria. The study employed self-designed questionnaire to collect the useful information from the respondents. Collected data were analysed using simple frequency counts and Non-Parametric Chi Square statistic. Findings from the results showed that parental neglect and displacement due to natural factors and lack of proper nutrition caused child labour. It was also revealed that child abuse and social vices as source of poverty has positive relationship with child labour. It was finally revealed that poverty has negative effect on schooling. It was recommended that government should create programmes that will improve access to schooling and policy intervention aimed at breaking the cycle of poverty and fostering access to quality education for all children in Oyo State
The Dynamics of Housing Preferences and Affordability in Oyo State, Nigeria
Get PDFThis study examines housing preferences and affordability among low-income civil servants in Oyo state, Nigeria. A case-study design was used, with 394 respondents randomly selected from 20 ministries for questionnaire administration. The findings showed that civil servants spent 51.9% of their income on housing, above the affordable threshold of 30%. The majority were tenants (58.2%), living in flats (44.4%), with 3 bedrooms (39.4%) and 1 toilet (54.1%). Using a Likert Scale, the preferred house type was a duplex, with 3 bedrooms, 3 toilets, and owned by the occupier. Gender differences were not significant, suggesting low-income earners had to compromise on housing attributes due to affordability. The study recommends income review to enhance access to preferred housing
Internet of Things (IoT), Internet of Robotic Things (IoRT), IoT Security (IoTS) and Machine Learning Algorithms: A Review Perspective
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The purpose of this article is to critically review existing studies on the Intelligent systems (IoT), IoT and Robotics (IoRT), IoT Security (IoTS), and Machine Learning Algorithms in order to establish the foundation for a future study. A systematic literature review was conducted with 29 papers from different database sources collected. Intelligent homes, offices, buildings, cities, intelligent agriculture, and intelligent environment monitoring are just a few of the sectors that can benefit from IoT and IoRT applications that are currently available. The research, however, demonstrates that the major challenge of these cutting-edge technologies is the security issue. Therefore for maximum security in an IoT network, effective and efficient security and privacy protocols like confidentiality, authentication, access control, and integrity are needed. This study presents insight into IoT, IoRT, IoTS, and machine learning algorithms to academics, researchers, and students. Given the ongoing development and interest in IoT technologies, IoRT, and machine learning, this paper aims at contributing to extending knowledge in IoT, IoRT, IoT, and machine learning
Improved Speech Emotion Recognition Using Boosting Ensemble of Class Specific Classifiers
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Speech emotion recognition (SER) systems enable machines to understand human emotions from speech. Due to its rising popularity, it is also interesting to scholars everywhere. Researchers have explored many different techniques and methodologies to detect emotions from speech. Different machine learning approaches have been investigated since machine learning (ML) has emerged as one of the most promising methodologies. However, knowing which feature combination gives a better result has been one major challenge of speech recognition systems, as the features selected affect the classification result. Therefore, a general Random forest-based emotion detection system has been built in this study effort to categorize emotions based on the provided features. The features are selected based on the class-specific best feature for each emotion class and are identified based on the f1 measure. The selected characteristics are then combined, applying the contemporary smart ensemble approaches. Mfcc, Chroma, and Melspectogram are the features under study, and Mfcc appeared to be the best of the three case studies with an accuracy of 63% higher than other features. The three features were then Ensembled using a CatBoost algorithm which gave an accuracy of 71.62%. The result indicates that Mfcc performs better than other features listed in the study. Also, the ensemble classification result performed superior to the classifiers mentioned in the literature.
 
Robust Authentication Medium for Safety of Financial Transactions
Get PDFThe SMS-based authentication medium for financial transaction poses vulnerability challenges on its transmission medium due to weak authentication medium. These security challenges are not limited to various attack mechanisms such as Man in the middle (MITM), replay among others on the transit. Also, the transmission channel of Short Message Service (SMS) via device could be stolen and SMS been transmitted could equally be vulnerable to attacks. Hence, this study develops an International Mobile Equipment Identity (IMEI) Authentication Technique (IAT), to redirect the focus of financial authentication medium to both userand device authentication medium, where both the user and device will be authenticated. Therefore, the study captures the two user authentication mechanisms, in addition to device identity authentication to ensure a secured communication and any attempt of illegitimate processes will be aborte
Extending the Lifetime of a Wireless Sensor Network Using Fuzzy-Chinese Remainder Theorem
Get PDFImprovements in wireless communication and hardware miniaturization have fostered increased utilization of Wireless Sensor Networks (WSN) in hazardous, low-human presence environments. Unfortunately, energy constraints prevented application of other adhoc networks’ protocols to improving WSN nodes, which are designed to operate continuously on a single charge, constantly communicate with the network Base Station (BS) and forward data. This makes battery life crucial. Existing WSN algorithms do not consider battery charge levels, which determine affordable data packet sizes. Therefore, insufficient battery charge levels poses a significant constraint to the general performance of the WSN. Hence, to prolong battery life, this studyimplemented data-centric Fuzzy Chinese Remainder Theorem (CRT) to save energy and used Fuzzy logic for WSN data collection, node location, and battery charge monitoring with Python. Results show that the Fuzzy- CRT algorithm extended WSN battery life, reduced the number of dead nodes by 40% over 8000 rounds, and thus, surpassed Low Energy Adaptive Clustering Hierarchy (LEACH) and CRT-LEACH algorithms in overall performance. Data-centric Fuzzy-CRT is therefore recommended for prolonged WSN battery life, improved network service, extended data collection and packet transfer durations
RESOURCE UTILIZATION AND ACADEMIC ACHIEVEMENT OF SECONDARY SCHOOL STUDENTS IN SOUTHWEST, NIGERIA
Get PDFThis study examined the relationship between resource utilization by principals and academic achievement of secondary school students in Southwest, Nigeria. The study examined the extent to which the principal utilizes resources in the schools and how this tells on the academic achievement of students. The study adopted the descriptive survey research design. The population of the study consisted of all the 2,719 principals and 72,676 teachers in all public secondary schools in Southwest, Nigeria. The sample for this study was 990 respondents, comprising 90 principals and 900 teachers from 90 public secondary schools in Southwest, Nigeria. Multi-stage sampling procedure which involved, simple random, stratified, proportionate and purposive sampling techniques were used to select the sample for the study. Three set of instruments tagged: “Principals Resource Utilization Questionnaire (PRUQ)”, “Students Affective and Psychomotor Domain Questionnaire (SAPDQ)” and an Inventory on Students’ Academic Performance (ISAP) were administered on respondents in the study. The three instruments were validated by experts. PRUQ and SAPDQ had reliability coefficients of 0.76 and 0.74 respectively. The data were analyzed using descriptive and inferential statistics. The descriptive statistics of frequency counts, percentages, mean and standard deviation were used to answer the research questions while the only hypothesis in the paper was tested using inferential statistics such as Pearson’s Product Moment Correlation at 0.05 level of significance. The study revealed that the extent of principals’ resource utilization and the level of academic achievement of secondary school student in secondary schools in Southwest, Nigeria were moderate. The study also revealed that principal resource utilization is significantly related to academic achievement of secondary school students. Based on the findings of the study, it was recommended that effort should be put in by stakeholders to ensure prudent and efficient utilization of resources in the secondary schools towards enhancing better students’ academic achievement.
Keywords: Principal, Resource utilization, Academic achievement, Secondary school
21ST CENTURY SKILLS AND EMPLOYABILITY OF TECHNICAL AND VOCATIONAL EDUCATION STUDENTS IN FEDERAL COLLEGE OF EDUCATION (TECHNICAL), AKOKA, LAGOS
Get PDFThe study found out the influence of 21st Century skills on employability of Technical and Vocational Education (TVE) students. Among others, one of the purposes of Technical and Vocational Education in Nigeria is to train and improve necessary skills leading to production of craftsmen, technical and other skilled personnel who will be enterprising and selfreliant. Hence, investigating how 21st century skills has helped the employability of TVE students is important. Survey research design was adopted for the study. Multistage procedure was adopted to sample 136 respondents. Self-developed questionnaire titled “Questionnaire on 21st Century and Employability of Technical and Vocational Education Students” which yielded reliability coefficient of r = 0.78 was used for data collection. Findings revealed that innovation skill has the highest acquisition level among Technical and Vocational Education Students (mean = 3.44) while marketing skill has the lowest acquisition level (mean = 2.91). Skills acquired during training has influence on employability of Technical and Vocational students to a large extent (weighted mean = 3.17). Innovation skill (? = 0.006, P < 0.05); human relation skill (? = 0.437, P < 0.05); time management skill (? = 0.160, P < 0.05); professional (? = 0.370, P < 0.05); and ICT skills (? = 0. 159, P < 0.05) have significant influence on employability of Technical and Vocational Education students. It was concluded that coping strategy skill, financial management skill and marketing skill were not significant to employability of Technical and Vocational Education students. The study recommended the need to incorporate coping strategy, financial management and marketing skills in the curriculum of Technical and Vocational Education. Also, it was recommended that students should in addition to what might have been acquired in the four walls of classroom build up a very good interpersonal relationship with people around them
SCHOOL PLANT CONSTRUCTION, HOME AND TEACHER FACTORS AS DETERMINANTS OF STUDENTS ACADEMIC PERFORMANCE IN OYO STATE: IMPLICATIONS FOR PLANNING
No full textThis study examined the contributions of school plant construction, home and teachers’ factors to students’ academic performance in Oyo state public senior secondary schools. Two hypotheses guided this study. This study adopted descriptive survey design. Multistage and simple random sampling techniques were used in selecting 1500 teachers and 1500 students across the 3 senatorial zones. Ten teachers and 10 students were sampled in each schools using simple random sampling. School Plant Construction Questionnaires (SPCQ) and Demographic Data Form (DDF) were used. Multiple regression analysis was used. The study found that school plant construction, home and teacher factors with R square of 0.113 and adjusted R equal 0.110 and individually predicted academic performance of students with Beta=.167, t=4.867 p<0.5 while teachers factor was the least potent Beta=.144, t=2.316 p<0.5. Recommendations are proffered that educational planners must consider the school plant facilities that is classroom must be well ventilated adequate lighting, acoustic design and building construction must be planned