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Automating the Assessment of Teachers' Knowledge: A Focus on Effective Teacher–Child Interactions in Early Childhood

Fri, April 17, 8:15 to 9:45am, Hyatt, Floor: East Tower - Purple Level, Riverside East

Abstract

Numerous improvement efforts are underway to improve the early childhood workforce, especially the quality of teacher-child interactions. A key component of professional development interventions is the assessment of teachers’ knowledge. However, traditionally hand-scored methods of assessment are not always feasible, especially in large-scale interventions. As a result, the present study explored the extent to which a previously validated measure of teachers’ knowledge could be adapted into an automated coding system. Preliminary results suggest that the automated coding system seems to be a valid and reliable measure of teacher knowledge.

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