Assessment Exam - Item Analysis-Exam Statistics and Item Analysis

Video Transcription

Video Summary

In this video walkthrough, the presenter demonstrates how to analyze item analysis data from an exam. They begin by selecting an exam with nearly 2,000 participants and provide an overview of the exam's performance statistics such as the number of people who started and finished the exam, average grade, and a bell curve showing the score distribution. They explain that these high-level statistics give a general sense of how the exam performed. The presenter then shows how to analyze difficulty levels for different questions and topics, highlighting areas where learners performed the weakest. They suggest using this data to inform future educational content or adjust question difficulty. The video also explores a statistic level breakdown of all 200 questions, including a discrimination index calculation which measures how well a question differentiates between good and bad students. The discrimination index is explained using a specific question as an example, where the presenter demonstrates how the top 27% of students and the bottom 27% of students chose different answer options, indicating a higher discrimination index for that question. Overall, the video provides guidance on utilizing exam data to identify areas of strength and weakness in learners' knowledge and informs instructional decisions for future education products. No credits are granted in the transcript.

Meta Tag

Creation Year 2019

Keywords

item analysis data

exam performance statistics

difficulty levels

question analysis

discrimination index

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