THE STATISTICAL SURVEY ON STUDENT SIGHT LEVEL (A CASE STUDY OF KWARA STATE POLYTECHNIC, ILORIN)
Table Of Contents
<p> </p><p><br>Title page — – – – – – – – – – – i </p><p>Declaration — – – – – – – – – – -ii</p><p>Approval page — – – – – – – – – – -iii</p><p>Dedication — – – – – – – – – – -iv</p><p>Acknowledgement — – – – – – – – – -v </p><p>Table of content — – – – – – – – – -vi Abstract — – – – – – – – – – – -vi</p> <br><p></p>
Thesis Abstract
Thesis Overview
<p>1.0 INTRODUCTION<br><br>Effective communication in the classroom is essential to the success of both the student and the teacher. The kind of communication as well as the amount of communication that occurs in the classroom has long been thought to be partially a function of the seating arrangement of students. Where there probably is an infinite number of ways of arranging a classroom, three are most common; traditional, horseshoe and modular.<br><br>The traditional arrangement for classroom typically consists of about five or six perfectly straight rows, each containing five to seven chairs equidistant from each other or as Rosenfield and Civikly say, “something like tombstones in a military cemetery”. Historically, Sommer explains the straight-row arrangement evolved to make the best use of the only adequate lighting then available-natural light from side windows. In spite of development in lighting which make the straight-row arrangement unnecessary, this traditional arrangement persists, in fact dominates. A recent survey of classrooms on a University Campus found over 90 percent of the classrooms to have this arrangement.<br><br><br></p>Blazingprojects Mobile App
📚 Over 50,000 Project Materials
📱 100% Offline: No internet needed
📝 Over 98 Departments
🔍 Project Journal Publishing
🎓 Undergraduate/Postgraduate
📥 Instant Whatsapp/Email Delivery
Related Research
Applications of Machine Learning in Predicting Stock Market Trends...
The project titled "Applications of Machine Learning in Predicting Stock Market Trends" aims to explore the use of machine learning techniques in pred...
Applications of Machine Learning in Predicting Stock Market Trends...
The project "Applications of Machine Learning in Predicting Stock Market Trends" aims to explore the use of machine learning techniques in predicting ...
Applications of Machine Learning in Predicting Stock Prices...
The project titled "Applications of Machine Learning in Predicting Stock Prices" aims to explore the practical applications of machine learning algori...
Application of Machine Learning Algorithms in Predicting Stock Prices...
The project titled "Application of Machine Learning Algorithms in Predicting Stock Prices" aims to explore the use of machine learning algorithms in p...
Applications of Machine Learning in Predicting Stock Market Trends...
The project titled "Applications of Machine Learning in Predicting Stock Market Trends" aims to explore the use of machine learning techniques in pred...
Applications of Machine Learning in Predicting Stock Prices...
The project titled "Applications of Machine Learning in Predicting Stock Prices" aims to explore the utilization of machine learning techniques to pre...
Application of Machine Learning Algorithms in Predicting Stock Market Trends...
The project "Application of Machine Learning Algorithms in Predicting Stock Market Trends" aims to explore the use of advanced machine learning algori...
Applications of Machine Learning in Predicting Stock Market Trends...
The project titled "Applications of Machine Learning in Predicting Stock Market Trends" aims to explore the potential of machine learning techniques i...
Application of Machine Learning in Predicting Stock Market Trends...
The project titled "Application of Machine Learning in Predicting Stock Market Trends" aims to explore the potential of utilizing machine learning alg...
