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Assessment and Instruction Coherence for Dynamic Measurement of Student Proficiency

Sun, April 14, 7:45 to 9:15am, Convention Center, Floor: First, 121A

Session Type: Coordinated Paper Session

Abstract

Interactions with digital lessons represent great opportunities for measurement; this data could be used to update reports, track student growth, and evaluate the effectiveness of instruction, all within the context of student learning. In this session, we will share research connecting data from a large-scale digital assessment to data from digital lessons.

The first paper will examine the content alignment between assessment items and lesson quiz items in two domains and grade levels. The second and third papers explore the various context effects surrounding the lesson quiz items and seek to understand how these effects contribute to item performance. For the second paper, we administered lessons to students under a variety of conditions, some with instruction and some without, to examine the effect of instruction and feedback on estimation of IRT parameters. The third study attempts to estimate item parameters from lessons as they are administered naturally in students’ lesson path and attempts to account for the effects of preceding instruction and restriction of range in the sample in estimating parameters. Finally, pulling together the previous papers, we apply a tracking algorithm (Glicko) to students’ assessment and lesson data to track students’ learning in mathematics throughout the academic year.

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