The Annual Meeting of the National Council on Measurement in Education (NCME) has always provided an opportunity to learn about innovative research and new trends in student assessment. This is your chance to get a glimpse of where the field is headed and what will be available to districts, teachers and students.
This year did not disappoint. At this conference, there were three notable topics for him to point out new directions in evaluation. They are annual evaluation, artificial intelligence and machine learning, and individual evaluation.
1. Evaluation throughout the year
An annual assessment is a type of assessment that has several different versions. Annual assessment generally refers to tests administered throughout the school year to provide feedback on student progress and ultimately determine proficiency. The NCME Annual Meeting featured at least three different sessions throughout the year, each focused on a different version.
In one version, the assessment throughout the year combines mid-term and summative assessments. Mid-term evaluations are conducted in autumn and winter, and a comprehensive test is conducted in spring to determine ability. His second version of the full year determines proficiency against the specific curriculum standards taught. Another version of the year-round rating is somewhat of a mixture of his two previous ones. We will use the mid-term evaluation within the year, but the exam content is cumulative and the ability judgment will be done in the spring.