Impediments of educational bureaucrats on teacher education in Nigeria
This paper set out to discuss the impediments of educational bureaucrats on teacher education in Nigeria and to examine the person of the education bureaucrat, their functions in Nigeria context, their management behaviors and why they failed in the country. It was expected that at the end of the day stakeholders in teacher education would be able to have a positive orientation and understanding of the place of educational bureaucrats in the success of the country’s educational enterprise in teacher education. Nigeria has not been so lucky with good educational bureaucrats in all her endeavors in general and in schools in particular. For this reason, this paper toiled with the future of children with compulsory miseducation in a context of schooling without education – a rebirth of the diploma disease. Therefore, it is recommended that the education bureaucrats should involve teachers, non-teaching staff and students as well as the community through Parent Teachers Association to enhance teacher education in the country.
Managing Teams in Secondary Schools
1. The Context of Secondary school Management 2. Management for Effective Schools 3. Leadership and management in Secondary Schools 4. Staff Teams and their Management 5. Developing the School 6. The Staff Team: Its Priorities and their Management 7. Communication in Schools 8. Curriculum Profiles and Job Descriptions 9. Staff Appraisal and the Secondary School Team 10. Conclusion: Development, Change and Stability
Automatic classification of TV news articles based on telop character recognition
The purpose of this study is to develop a multimedia database system for TV news video data. TV news video data consist of speech, characters and images. In this study, telop characters are recognized and given to the news articles as indices for classification. At first, telop frames which include telop characters are detected and then the telop characters are extracted and recognized. Through morphological analysis of the recognized telop characters, keywords are extracted which consist of more than two characters. Their keywords are used as indices to classify the TV news articles. We carried out experiments for 30 days of NHK 5 minutes news and obtained 95.4% telop character extraction rate, 81.4% character recognition rate and 83.8% article classification rate. We improved the article classification rate by 43.4% through character recognition improvement from 44.1% to 81.4%.