Factors affecting the academic performance of real estate students in a specialized Federal University of Technology in Nigeria

2019 ◽  
Vol 38 (2) ◽  
pp. 177-198
Author(s):  
Ismail Ojetunde ◽  
Abass Iyanda Sule ◽  
Olurotimi Adebowale Kemiki ◽  
Isaac Ayodele Olatunji

Purpose The purpose of this paper is to examine the factors affecting the academic outcome of real estate students in a specialized Federal University in Nigeria. Furthermore, this paper investigates the phenomenon of publication bias in the extant literature as such evidence poses severe threats to the validity of empirical findings on factors affecting the degree outcome of undergraduate students. Design/methodology/approach The standard statistical approach adopted was to examine whether the reported coefficient estimates from ten empirical studies (105 observations) are independent of their standard errors by employing both ordinary least squares (OLS) and weighted least squares (WLS). In this paper, this approach enabled evidence of publication bias in the cited literature to be refuted. In addition, data were also collected on the academic measure and demographic information of 449 students who graduated between 2005 and 2011. For the purpose of analysis, the study utilized a stepwise logistic regression technique to examine the factors impacting on the degree outcome of real estate students. Findings The results of the OLS and WLS regression indicate that there is no significant evidence of any empirical effect of publication bias in the extant literature. The results of the logistic regression also revealed that grade point average, gender differences, prior knowledge of real estate discipline and potential difference in year of enrollment impact on students’ academic performance in terms of their ability to graduate at first attempt. In addition, factors such as age, marital status, high school grade and geopolitical/ethnic background of undergraduate real estate students do not influence their opportunities to graduate at first attempt from the university. Research limitations/implications This paper focuses only on one specialized university of technology offering a bachelor’s program in real estate in Nigeria, so as to remove any extraneous factor(s) that could be present in the other institutional settings where students have completed such program. Extending similar study to tertiary institutions in Nigeria that share similar geographical characteristics and institutional settings can produce far-reaching generalization. Originality/value This paper contributes to the scanty literature on factors affecting the academic performance of students in an undergraduate real estate program in Nigeria. A scientific element of novelty in this paper is the evidence of the absence of the underlying effect of publication bias in the extant literature on students’ academic outcome in tertiary institutions. Findings from this study serve as the basis for university officers to monitor significant transitions in real estate students’ academic progress, so as to identify those who are unlikely to graduate at first attempt early at the entrant level. Generally, the outcome of this research could provide faculty and admission officers in tertiary institutions with complementary information in arriving at an informed decision in a non-discriminatory admission process.

2016 ◽  
Vol 34 (5) ◽  
pp. 396-414 ◽  
Author(s):  
Timothy Oluwafemi Ayodele ◽  
Timothy Tunde Oladokun ◽  
Job Taiwo Gbadegesin

Purpose The purpose of this paper is to examine the factors affecting academic performance of real estate students in a developing country like Nigeria. Design/methodology/approach Data for the study were collected with the aid of questionnaire served on 152 final year real estate students of Obafemi Awolowo University, Ile-Ife and Federal University of Technology Akure, in southwestern Nigeria. Data collected were analysed using descriptive and inferential statistics. Findings Findings show that the factors relating to academic assessment, parent/family background and teaching methods or techniques have more impact on students’ academic performance, while school and general academic environment had less influence on students’ academic performance. Research limitations/implications The study complements the body of knowledge regarding the factors influencing real estate students’ academic performance from the point of view of an emerging economy where issues of socioeconomic, academic and training perspectives differ from what obtains in advanced economies. Originality/value This study is one of the few attempts at establishing factors that influence real estate students’ performance, especially from an emerging economy like Nigeria.


2014 ◽  
Vol 3 (2) ◽  
pp. 186-196 ◽  
Author(s):  
Rosa Caiazza ◽  
David Audretsch ◽  
Tiziana Volpe ◽  
Julie Debra Singer

Purpose – Existing work documents the role that institutional setting plays in the process of spin-off creation. However, despite decades of studies, scholars have not clearly explained why some regions are more involved in spin-off activity than others. Drawing from institutional theory, the purpose of this paper is to compare different institutional settings identifying factors affecting the general environment capability to support spin-off activity of a specific region. Design/methodology/approach – The authors utilize a cross-national analysis of American, Asian, and European areas identifying factors affecting their different rate of spin-off activity. This study contributes to the policy debate concerning entrepreneurship and how best to spur spin-off activities. Findings – In this paper, the authors identify the general and specific factors that explain the cross-national diversity in spin-off creation. The authors then perform an analysis of the impact of these factors in various regions of the USA, Asia, and Europe, providing evidence for the necessity of specific combinations of these factors. Originality/value – The paper offers a new perspective on the causes of spin-offs through a cross-national analysis of many areas around the world.


2019 ◽  
Vol 17 (4) ◽  
pp. 769-781 ◽  
Author(s):  
Preet Kamal ◽  
Sachin Ahuja

Purpose The purpose of this paper is to develop a prediction model to study the factors affecting the academic performance of students pursuing an undergraduate professional course (BCA). For this purpose, the ensemble model of decision tree, gradient boost algorithm and Naïve Bayes techniques is created to achieve best and accurate results. Monitoring the academic performance of students has emerged as an essential field as it plays a vital role in the accurate development and growth of students’ critical and cognitive thinking. If the academic performance of students during the initial years of the graduation can be predicted, different stakeholders, i.e. government, policymakers, academicians, can be helped to make significant remedial strategies. This comprehensible practice can go a long way in shaping the ideologies of young minds, enhancing pedagogical practices and reframing of curriculum. This study aims to develop positive steps that can be taken to enhance future endeavours in the field of education. Design/methodology/approach A questionnaire was prepared specifically to find out influential factors affecting the academic performance of the students. Its specific area of investigation was demographic, social, academic and behavioural factors that influence the performance of the students. Then, an ensemble model was built using three techniques based on accuracy rate. A 10-fold cross-validation technique was applied to access the fitness of results obtained from proposed ensemble model. Findings The result obtained from ensemble model provides efficient and accurate prediction of student performance and helps identify the students that are at risk of failing or being a drop-out. The effect of previous semester’s academic performance shows a significant impact on current academic performance along with other factors (such as number of siblings and distance of university from residence). Any major mishap during past one year also affects the academic performance along with habit-based behavioural factors such as consumption of alcohol and tobacco. Research limitations/implications Though the existing model considers aspects related to a student’s family income and academic indicators, it tends to ignore major factors such as influence of peer pressure, self-study habits and time devoted to study after college hours. An attempt is made in this paper to examine the above cited factors in predicting the academic performance of the students. The need of the hour is to develop innovative models to assess and make advancements in the present educational set-up. The ensemble model is best suited to study all factors needed to accomplish a robust and reliable model. Originality\value The present model is developed using classification and regression algorithms. The model is able to achieve 99 per cent accuracy with the existing data set and is able to identify the influential factors affecting the academic performance. As early detection of at-risk students is possible with the proposed model, preventive and corrective measures can be proposed for improving the overall academic performance of the students.


2018 ◽  
Vol 23 (3) ◽  
pp. 274-294
Author(s):  
Rakesh Kumar Sharma

PurposeThe real estate sector in India has assumed growing importance with the liberalisation of the economy. Developments in the real estate sector are being influenced by the developments in the retail, hospitality and entertainment (e.g. hotels, resorts and cinema theatres) segment, economic services (e.g. hospitals, schools) and information technology-enabled services (such as call centres), and vice versa. This paper aims to study the determinants of capital structure by taking into account 125 major Bombay Stock Exchange (BSE) listed real estate companies selected on the basis of their market capitalisation.Design/methodology/approachTo discover what determines capital structure, nine firm level explanatory variables (profitability-EBIT margin, return on assets, earnings volatility, non-debt tax shield, tangibility, size, growth, age debt service ratio and tax shield) were selected and regressed against the appropriate capital structure measures, namely, total debt to total assets, long-term debts to total assets, short-term debts to total assets, total liabilities to total liabilities plus equity, total debt to capital used and total debt to total liabilities plus equity. A sample of 125 real estate companies was taken and secondary data were collected. Consequently, multivariate regression analysis was made based on financial statement data of the selected companies over the study period of 2009-2015.FindingsThe major findings of the study indicated that profitability, size, age, debt service capacity growth and tax shield variables are the significant firm-level determinants.Research limitations/implicationsThe present study is carried out by taking data of only 25 companies listed on the BSE and time period covered from 2009 from 2015. Time period and sample size may be limitations of the current study.Practical implicationsThe present study is an empirical analysis of the determinants of leverage of real estate sector in India with most recent available data. Different regression equations have been formed to develop the models using firm-specific determinants and different measures of leverage or capital structure. Data were regressed using SPSS application software, and the resulting (or obtained) regression outputs are analysed. This study will help the Indian real estate companies to the know the impact of different variables while raising short-term and long-term loans.Social implicationsThe current study will benefit all stakeholders of society who are fascinated to be acquainted with the financing of real estate companies and the factors affecting long-term and short-term financing of this sector. Specifically, public engrossed in different modes of investment and financial institution will be the prime gainers.Originality/valueThe present study has been completed using authentic data from the annual reports and database. This study uses explanatory variables and different measures of leverage which were limited in use in previous studies. Moreover, this research is a comprehensive study that deals with developing different regression models by using diverse measures of leverage.


2015 ◽  
Vol 33 (2) ◽  
pp. 100-132 ◽  
Author(s):  
Joanna Poon ◽  
Michael Brownlow

Purpose – The purpose of this paper is to identify the relative importance of the factors that influence the overall satisfaction of real estate students and also examine the extent to which demographic backgrounds affect this. Furthermore, this paper benchmarks the satisfaction of real estate students against that of built environment students. Design/methodology/approach – The data used in this paper have been collected from the Course Experience Questionnaire (CEQ) within the Australian Graduate Survey (AGS). Dimensionality reduction was used to prepare the data about the courses identified in the AGS for analysis. This was done in order to simplify classification of real estate and built environment courses examined in this paper. Descriptive and statistical analysis methods were used to analyse student satisfaction variables and identify the extent to which demographic factors influenced overall student satisfaction. Findings – Real estate students in Australia have a relatively higher level of student satisfaction compared to built environment students overall, but built environment students have a higher level of satisfaction with regard to compulsory variables such as “Good Teaching Scale” and “Generic Skills Scale”. However, real estate students show a higher level of agreement in the Likert scale regarding the optional variables “Appropriate Assessment” and “Learning Community”, respectively. The most important factor for overall student satisfaction was the question: “the staff made it clear right from the start what they expected from the students”. The answers to this question had a Pearson correlation value of 1.000 for both real estate and built environment students. Age and mode of study also have some impact on the overall satisfaction level of both sets of students, while gender, degree class and the year the university were established are additional factors affecting the overall satisfaction of built environment students. Practical implications – This research identifies the factors that affect the satisfaction of property course students in ascending order of importance. Course directors of real estate courses can use the findings of this research to make recommendations on the redesign and redevelopment of their courses in order to make them more attractive and appealing to students to enhance student recruitment and retention. Originality/value – This is pioneering research that provides a comprehensive overview of the factors affecting student satisfaction with regard to real estate and built environment students in Australia.


Author(s):  
Innocent Chigozie Osuizugbo ◽  
Bridget Oghomwen Simon-Eigbe ◽  
Ajibola Abiodun Okunrinboye

Aims: There is usually dissimilarity in achievement as a result of several factors that influence the academic performance of students in universities. Therefore, this study aims to explore and investigate problem factors affecting the academic performance of undergraduate students in construction related disciplines in Bells University of Technology Ota, with a view to providing understanding on the major problem factors affecting their academic performance. Study Design:  Survey research design. Place and Duration of Study: Department of Building Technology, Bells University of Technology Ota, Ogun State, Nigeria, between May 2019 and January 2020. Methodology: The research employed a survey method with questionnaires distributed to undergraduate students in construction related disciplines in Bells University of Technology Ota. Data collected were analyzed using frequency, percentage, mean, rank and Kendall’s coefficient of concordance test. Results: Out of 172 questionnaires administered, 105 were sufficiently filled and returned, representing 61% of response rate. The results show that maturity, study strategies, interest in course, fear and stress and training and teaching style are the top five factors affecting academic performance of undergraduate students in construction related disciplines in Bells University of Technology Ota, Nigeria. Secondly, using SPSS (23), Kendall’s (Wa) value was found to be 0.036 at 0.000 significance level, therefore the study concluded that, there is statistically significant degree of agreement between different departments of the participants concerning their responses to factors that affect academic performance in construction related disciplines in Bells University of Technology, Ota, Nigeria. Conclusion: The study recommends that skipping of classes by students during early education should be discouraged so as to allow students attain maturity level for higher education. Secondly, universities should organize fear and stress management seminars and workshops for undergraduate students in addition to guidance and counseling sessions with a view to addressing psychological issues that may hinder their academic performance.


2021 ◽  
Vol 11 (3) ◽  
pp. 26
Author(s):  
Stephanie Caroline Samuel ◽  
Ferina Marimuthu

The successful completion of a module measures student performance at tertiary institutions through ascertaining predetermined pass percentages. The lack of conceptualization of content by a student, may affect the students’ academic achievement. This paper aimed to investigate students' perceptions on the factors that may impact Cost Accounting students' performance and determine if these factors have a significant association with a student’s performance. The independent variables identified were attendance, age, gender, grade 12 results and language, whilst the dependent variable was academic performance in the Cost Accounting module. Using a sample of 180 students registered for Cost Accounting II in their second year of study, the data collected from the questionnaires were analyzed with descriptive and inferential statistics. The study found that student attendance has a positive impact on student performance in the module. The findings of this study may be useful to higher education institutions and academics as it highlights the factors that influence students' academic achievement.


2020 ◽  
Vol 5 (2) ◽  
pp. 62-75
Author(s):  
Florence Adeoti Yusuf ◽  
Ayoade Ejiwale Okanlawon ◽  
Taiwo Rukayat Oladayo

The study adopted the descriptive survey research design. Two hundred (200) undergraduates were randomly selected from four (4) randomly selected universities in Osun state. A structured questionnaire entitled Factors Affecting Students’ Academic Performance Questionnaire (FASAPQ) which had four sections was developed and validated. Frequency counts, simple and percentage and Analysis of Variance (ANOVA) were used to analyse the data collected. The findings of the study show that age had influence on students’ academic performance in tertiary institutions. The findings also revealed that the peer group had influence on students’ academic performance in tertiary institutions. The results also supported the idea that learning environment had influence on students’ academic performance in tertiary institutions. Furthermore, the difference in the students’ across institutions perception on factors affecting the academic performance of students in tertiary institutions was found insignificant (F(3,196) = 1.138, p>0.05).Based on the findings of the study, the following recommendations were made: the school counsellors should be organizing orientation programmes for new undergraduates to get them familiar with the new environment and to understand the university.


2021 ◽  
Vol 9 (2) ◽  
pp. 17-29
Author(s):  
Timothy Obaje ◽  
Rosheena Jeawon

This paper offers a critical review of the adopted academic advising strategies at the Durban University of Technology. It is worth acknowledging that academic advising as a scholarly practice is in its developmental stage at South African tertiary institutions. The paper draws on the experiences of the authors as academic advisors to reflect on the strengths and challenges of the practices of academic advising. It interrogates and analyses the authors’ experiences vis-a-vis the extant literature on academic advising practices. In this way, the paper engages and advances best practices while simultaneously contributing to the body of literature on academic advising in South Africa.


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