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    Choice Behaviour in Sustainable Property Features Adoption: A Tripartite Perspective

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    Stakeholders’ attitudes (demand and supply perspectives) on sustainable property features adoption vary, with implication on the sustainable property features market (SPFM). How do market players behave and make choices in the adoption of sustainable property features? This paper examines stakeholders’ choice behaviour within six filtered themes, underpinned in the consumer research theoretical perspective including market information (awareness level), relevance/importance, social cost and benefits, economic cost and benefit, environmental cost and benefit and market feasibility. The study drew upon a sequential exploratory mixed method comprising semi-structured interviews and a questionnaire survey within the six thresholds unraveled. After a pilot study, ten key actors in the sustainable properties sectors, limited by saturation point were interviewed which resulted in a conceptual framework that guided the survey. The questionnaire survey respondents included 56 building contractors, 91 property developers/investors and 404 users randomly selected within the Lagos’ market. The paper found divergent reactions from both demand (users) and supply (investors & contractors) sides. Investors downplayed the market feasibility, relevance and economic rewards of sustainable features. Sustainable building features are essential to contractors, yet their perceptions of economic worth and market feasibility are challenging. The supply side demonstrates lowered economic worth and market feasibility of sustainable structures. The demand side assessment demonstrates a lack of adequate awareness, relevance, market feasibility and economic benefits. On the supply side, there is a willingness to construct with sustainable features, but on the demand side, there is less enthusiasm. Policy directions and blueprint investment guideline on the SPFM for both local and international prospective investors in the developing market were subsequently recommended

    Optimising Sawdust and Steel Fibre Ratios for Enhanced Compressive Strength in Sustainable Cement Composites

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    The construction industry's increasing commitment to environmental responsibility and the preservation of resources has accentuated the essential role of sustainable building materials. This study investigated the optimisation of sawdust and steel fibre ratios to enhance the compressive strength of sustainable cement composites. The experimental results indicate that the compressive strength consistently improved over a period of 28 days, irrespective of the quantities of steel fibres and sawdust added. The control beams achieved a compressive strength of 31.92 MPa. The study revealed that an increase in sawdust content led to a decrease in compressive strength, while higher proportions of steel fibres led to increased strength. The highest strength of 38.14 MPa was observed in the group with 1.0% steel fibre and no sawdust. These findings offer valuable insights into optimising sustainable concrete mixtures, emphasising the intricate balance between sawdust and steel fibres in enhancing compressive strength while promoting eco-friendly construction practice

    EMERGENCY REMOTE TEACHING DURING COVID-19 PANDEMIC AND UNDERGRADUATES’ LEARNING EFFECTIVENESS AT THE UNIVERSITY OF IBADAN, NIGERIA

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    The study investigated the influence of Emergency Remote Teaching (ERT) components (Zoom, Google Meet, Telegram forum, and LMS) on undergraduates’ learning effectiveness at the University of Ibadan. The descriptive survey research design was adopted and the population comprised 100 to 400 level students - with a sample size of 200 students who were randomly selected from the Faculties of Arts, Education and the Social Sciences. A 30- item questionnaire titled “Influence of ERT on Students’ Learning Effectiveness (IERTSLE)” was developed and validated by experts, and its reliability coefficient was 0.81 with the use of Cronbach alpha. Data were analyzed using descriptive and inferential statistics of frequency counts, simple percentages, analysis of variance (ANOVA), mean and standard deviation analysis at 0.05 level of significance. The findings of the study revealed that the ERT components (Zoom, Google Meet, Telegram Forum, and LMS) significantly influenced students’ Learning Effectiveness (F (4, 174) = 6.512; R2 = 0.13), and jointly accounted for 11.0% of its variance. Based on these findings, it was recommended that the Management of the University of Ibadan embark on full integration of online educational platforms to cater to both lecturers’ and students’ progressive skills and technical knowledge acquisition to help sustain them for the 21st century digital teaching and learning procedures. The study recommended that seminars, workshops, and other relevant programmes should be put in place to help improve students’ and lecturers’ adaptation to ERT teaching and learning in the institution

    A SURVEY OF THE IMPACT OF SKILLS ACQUISITION ON JOB CREATION AND POVERTY REDUCTION AMONG YOUTHS IN ONDO STATE, NIGERIA

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    The lamentable state of youth unemployment, crime and poverty in Nigerian calls for a holistic overhaul. Previous studies have concentrated on the problems of youth unemployment. This paper therefore investigated the impacts of skills acquisition centres on youth empowerment in Ondo State, Nigeria. Simple random sampling and purposive sampling techniques were adopted. A self-designed instrument named ‘Perception on Impacts of Skills Acquisition on Job Creation and Poverty Reduction in Ondo State’ (PISAJCPROS) was used to elicit information from 120 respondents. Two (2) research questions were raised and answered. The data collected were analyzed with simple percentages, frequency tables and mean scores at 5% level of significance. The result showed that skill acquisition had significant impact on employment generation and poverty reduction. The study revealed poor funding and poor electricity as problems facing skills acquisition centres. The study also recommended adequate funding of skill acquisition centres and stable supply of electricity

    ASSESSMENT OF PRINCIPALS’ CONFLICT MANAGEMENT STRATEGIES ON TEACHING AND LEARNING IN SECONDARY SCHOOLS IN OYO METROPOLIS OF OYO STATE

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    This study examined the assessment of principals’ conflict management strategies on teaching and learning in senior secondary schools in Oyo Metropolis, Oyo State. The study adopted the descriptive survey research design. Purposive sampling technique was used to select fifty principals for the study. Questionnaire was designed to elicit information. Simple percentages and frequency counts were used to analyze three research questions. The findings revealed that poor physical working conditions, unreasonable demands by school administration, unrealistic academic targets for students by teachers, unethical teaching practices and gaps in communication are some of the common causes of conflict in secondary schools. Also, it was found that collaborating, compromising, negotiation, reinforcement and mediation are some of the strategies principals use in settling conflicts in secondary schools. The findings of this study also revealed that the effect of principal conflict management skills on teaching and learning improves teaching and learning, enhances the tone of discipline in secondary schools, it closes the gap of communication between the teachers and the principals and it enhances effective utilization of school resources. Based on the findings, the study recommended that there was a need for school principals to employ the most optimal approach in handling students’ conflicts in order to forestall occurrences and that seminar or conferences should also be organized for school principals on conflict management

    Cognitive Tutoring in the use of Bioinformatics Tools

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    AbstractWith the proliferation of simple and complex bioinformatics tools, there is the need to teach researchers how to use these tools effectively. To evaluate the potential of cognitive tutoring in the wide-scale adoption of several bioinformatics tools, we designed a simple prototype. We embedded a cognitive tutor, built with the Cognitive Tutor Authoring Tool, on a pre- existing platform, the Gene Adjacency Program, developed by the University of Ibadan Bioinformatics group. Our preliminary tests show that researchers who used the platform with thecognitive tutor embedded showed higher levels of competence and efficiency. These results indicate that cognitive tutors have the potential to teach bioinformatics researchers employing new tools how to efficiently use them and accurately make sense of their results

    Semantic Sentiment Analysis Based on Probabilistic Graphical Models and Recurrent Neural Networks

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    AbstractSentiment Analysis is the task of determining the sentiment polarity expressed in textual documents. This can be achieved by using lexical and semantic methods. The purpose of this study is to investigate the use of semantics to perform sentiment analysis based on probabilistic graphical models and recurrent neural networks (RNN). In our empirical evaluation, the classification performance of the graphical models was compared with some traditional machine learning classifiers and a recurrent neural network. The datasets used for the experiments were IMDB movie, Amazon Consumer Product reviews, and Twitter Review datasets. Obtained results from empiricalstudy show that semantic representation of textual documents using word embeddings in conjunction with longshort term memory (a RNN family) for classification produces better result in determining the polarity expressed in texts. Sentiment Analysis is the task of determining the sentiment polarity expressed in textual documents. This can be achieved by using lexical and semantic methods. The purpose of this study is to investigate the use of semantics to perform sentiment analysis based on probabilistic graphical models and recurrent neural networks (RNN). In our empirical evaluation, the classification performance of the graphical models was compared with sometraditional machine learning classifiers and a recurrent neural network. The datasets used for the experiments were IMDB movie, Amazon Consumer Product reviews, and Twitter Review datasets. Obtained results from empirical study show that semantic representation of textual documents using word embeddings in conjunction with longshort term memory (a RNN family) for classification produces better result in determining the polarity expressed in texts

    TEAMWORK MANAGEMENT AND TEACHERS’ PRODUCTIVITY IN SECONDARY SCHOOLS IN ONDO CENTRAL SENATORIAL DISTRICT OF ONDO STATE, NIGERIA

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    Teachers’ productivity seems to be dwindling in Nigerian public secondary schools as the perceived inadequacies in the autonomous subject teaching strategy appears to inhibit teachers’ involvement in teamwork. This study therefore examined teamwork management strategies and teachers’ productivity in secondary schools in Ondo Central Senatorial District of Ondo State, Nigeria. The sampled comprised 33 principals and 660 teachers selected from 33 public secondary schools using multi-stage and random sampling techniques. Teamwork Management Questionnaire (TMQ) and Teachers’ Productivity Questionnaire (TPQ) were used to collect data. Three research questions and two hypotheses guided the study. Research questions were answered using percentage and mean while the hypotheses were tested using Pearson Product Moment Correlation (PPMC) at alpha level of 0.05. Results revealed a moderate mean of 2.33 on teamwork management; also a moderate mean of 2.19 was obtained on teachers’ productivity. Teamwork management strategy has significant relationship with teachers’ productivity (r = 0.717, p< 0.05), also, there was a significant relationship between teamwork management strategy and students’ academic performance (r = 0.692, p< 0.05). It was concluded that teamwork management enhance teachers’ productivity; however, shortage of qualified teachers inhibit team grouping by specialization. Based on the findings, it was recommended that the Government through the Teaching Service Commission should employ adequate number of teachers while the Ministry of Education organizes seminars/workshops to strengthen principals’ and teachers’ capacities in teamwork to improve productivity in secondary schools

    MANAGING YOUTH CORPS MEMBERS’ TEACHING METHODOLOGY IN NIGERIA: ADDRESSING THE DEFICIENCY CONCERNS

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    Despite that majority of the Youth Corps Members (YCM) are being deployed yearly as teachers across Nigeria, certain stakeholders have called on the National Youth Service Corps (NYSC) scheme to stop deploying non-education graduates to schools as teachers. This call was premised on the submission that the non-education graduates do not have the teaching methods required for imparting knowledge to students. It was established in the literature that there is no official collaboration between the NYSC scheme that deploys YCM and the Teachers’ Registration Council of Nigeria (TRCN) that regulates the teaching profession. Also in related literature, studies have shown the importance of short training as a way of making non-education professionals have basic knowledge of teaching methods. A model was designed in this study showing how collaboration between NYSC and TRCN can be explored to inculcate required teaching methods in the youth corps for better engagement of YCM as teachers. It was recommended among others that the Federal Ministry of Education should be concerned with the development of a short course manual on teaching methodology for the use of YCM

    PERCEIVED INFLUENCE OF COMPUTER-BASED TEST ON UNDERGRADUATES’ LECTURE ATTENDANCE IN OGUN STATE, NIGERIA

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    Computer-Based test is key to testing the achievement performance of students as well as meeting up with the educational standards across the world. This study investigated the perceived influence of computerbased test on undergraduates’ lecture attendance in Ogun State, Nigeria. The descriptive survey research design was adopted. The population comprised of students of Tai Solarin University of Education, Ijebu-Ode, Olabisi Onabanjo University, Ago-Iwoye, and Federal University of Agriculture, Abeokuta, all in Ogun State. The simple random sampling technique was used to select six hundred (600) students from the total population of students in the selected schools using Taro Yamane sampling size (200 from each university). Instrument titled “Computer-Based Test and Lecture Attendance Questionnaire (CBTLAQ)” (r = 0.79) was used for data collection and data were analyzed mean, standard deviations, Regression analysis and t-test statistics at 0.05 level of significance. Findings showed that ComputerBased Test influences undergraduates’ lecture attendance (? = .807; p ? 0.05). Also, significant difference exists in the lecture attendance of male and female undergraduates (t-cal = 13.071; p < 0.05). It was recommended that schools should invest in CBTs for institutional efficiency and ensure that students are provided with the CBT-based gadgets which can enhance their regularity in class

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