Abstract

Architectural education in Nigeria is divided into at wo-tier training system of four and two years for undergraduate and postgraduate study, respectively. After the completion of postgraduate study, a student is deemed competent to take the professional practice examination. Success in this examination qualifies a student to be registered as an architect. The competency rating of future professionals in architectural schools in Nigeria is determined through a jury system of scoring based on predetermined grading parameters. However, the grading parameters adopted by assessing authorities (academic professors and practitioners representing the professional body) differ. The difference in the grading parameters employed by the two approved assessing authorities in Nigeria was investigated in this study. Covenant University in Nigeria was used as a case study. The grading parameters and scores for the 2013 academic session were compared to determine similarities and differences, which might have affected the competency rating of students. Descriptive statistics was employed to analyze the data obtained. Results showed a significant difference in scoring by the two authorities. This difference had a significant consequence on the competency rating of students.

Abstract

The design studio is the core of the architecture curriculum. Interpersonal interactions have a key role during the processes of design and critique. The influence of emotional intelligence (EQ) on interpersonal communication skills has been widely proven. This study examines the correlation between EQ and architectural design competence. To achieve this, 78 architecture students were selected via a simple random sampling method and tested using an EQ test questionnaire developed by Bradbury and Greaves (2006) . The scores of five architectural design studio courses (ADS-1, ADS-2, ADS-3, ADS-4, and ADS-5) were used as indicators of the progress in design of the students. Descriptive and inferential statistics methods were both employed to analyze the research data. The methods included correlation analysis, mean comparison t -test for independent samples, and single sample t -test. Findings showed no significant relationship between EQ and any of the indicators.