Assessing learning: How can classroom-based teachers assess students’ competencies in numeracy?
Abstract
This paper examines a procedure measuring student competencies in numeracy using school-based assessments, and demonstrates how the procedure informs the school system on quality improvement. The sample consisted of 7648 students, attending three different types of urban schools including government, formal private and low cost private in poor informal settlements in Kenya. The numeracy tool measures six curriculum outcome areas. Each outcome area is defined by 2–11 measured items based on the emphasis given to an area in the curriculum. Within each of the outcome areas, items are also hypothesised to measure categories of the cognitive domain of learning. Using the Rasch, we examine the item difficulties, person location and differential item functioning. The paper provides important implications to provision of evidence to inform teaching in poor urban informal settlements in Kenya and this can also be replicated in other sub-Saharan African countries. Abbreviations: APHRC: African Population and Health Research Center; CTT: Classical Test Theory; DIF: Differential Item Functioning; ICC: Item Characteristics Curve; INMS: Infit Mean Square; IRT: Item Response Theory; PASEC: Programme d’Analyse des Systèmes Educatifs de la Confemen/ The Programme for the Analysis of Education Systems; QUEST: The interactive test analysis system (software); RUMM: Rasch Unidimensional Measurement Models (software); SACMEQ: Southern and Eastern African Consortium for Monitoring Education Quality; SSA: Sub-Saharan Africa. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
Author(s)
Moses W. Ngware, Njora Hungi, Maurice Mutisya
Year
2019
Countries
Kenya
Language
English
Research Method
Quantitative
Article Type
Peer-Reviewed Articles
Keywords
Primary education | Numeracy | Learning outcomes | Teaching methods | School self-evaluation | Assessment | Foundational Learning | Excel Import
Source Link
Full Citation Style
Research Team
Moses W. Ngware
Njora Hungi
Maurice Mutisya
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