Managing Language Testing in Nigerian Large Classes: Processes and Prospects
- Taiwo Abioye
Abstract
The demand for literacy in a developing country like Nigeria has multiple results such as the expansion, by leaps and bounds, of the average Nigerian classroom. This paper highlights the reasons for large classes in Nigerian secondary schools, the educational and psychological dimensions of language testing in large classes, the challenges of such classes and how they affect achievement and in the long run, the standard of education. It also tasks the proficiency levels of English Language teachers especially in the area of testing and points out new paradigms in language testing, particularly in large classes from the two perspectives of human and infrastructural development, and teacher empowerment and initiatives. The study suggests methods of improving language testing in large classes through pragmatic techniques.
- Full Text:
PDF
- DOI:10.5539/elt.v3n2p82
Journal Metrics
Citation Metrics (for informational purposes only; sourced from Google Scholar as of May 2026):
1. Citations (May 2026): 112462
3. i10-index (February 2025): 1811
*Note: Citation metrics vary significantly across indexing platforms. These figures are provided transparently and should not be used for cross-database comparisons. For methodological details, please refer to the official Google Scholar Metrics documentation.
Index
- Academic Journals Database
- CNKI Scholar
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- GETIT@YALE (Yale University Library)
- Harvard Library E-Journals
- IBZ Online
- INDEX ISLAMICUS
- JournalSeek
- JournalTOCs
- LearnTechLib
- Library and Archives Canada(LAC)
- Linguistics Abstracts Online
- LOCKSS
- MIAR
- MLA International Bibliography
- NewJour
- Open J-Gate
- PKP Open Archives Harvester
- ResearchGate
- ROAD
- SHERPA/RoMEO
- Technische Informationsbibliothek (TIB)
- The Keepers Registry
- Ulrich's
- Universe Digital Library
Contact
- Gavin YuEditorial Assistant
- elt@ccsenet.org