Affiliation:
1. Collaborative Innovation Center of Assessment for Basic Education Quality Beijing Normal University
2. Department of Counseling Educational Psychology and Special Education Michigan State University
Abstract
AbstractMeasuring opportunities to learn (OTL) is crucial for evaluating education quality and equity, but obtaining accurate and comprehensive OTL data at a large scale remains challenging. We attempt to address this issue by investigating measurement concerns in data collection and sampling. With the primary goal of estimating group‐level OTLs for large populations of classrooms and the secondary goal of estimating classroom‐level OTLs, we propose forming a teacher panel and using an online log‐type survey to collect content and time data on sampled days throughout the school year. We compared various sampling schemes in a simulation study with real daily log data from 66 fourth‐grade math teachers. The findings from this study indicate that sampling 1 day per week or 1 day every other week provided accurate group‐level estimates, while sampling 1 day per week yielded satisfactory classroom‐level estimates. The proposed approach aids in effectively monitoring large‐scale classroom OTL.
Funder
Fundamental Research Funds for the Central Universities
Reference42 articles.
1. Achieve. (2015).Closing the expectations gap 2014 annual report on the alignment of state K‐12 policies and practice with the demands of college and careers. Retrieved fromhttp://www.achieve.org/files/Achieve‐ClosingExpectGap2014%20Feb5.pdf
2. Using Surveys of Enacted Curriculum to Advance Evaluation of Instruction in Relation to Standards