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Tatiana Chaiban; Zeinab Nahle; Ghaith Assi; Michelle Cherfane – Discover Education, 2024
Background: Since it was first launched, ChatGPT, a Large Language Model (LLM), has been widely used across different disciplines, particularly the medical field. Objective: The main aim of this review is to thoroughly assess the performance of the distinct version of ChatGPT in subspecialty written medical proficiency exams and the factors that…
Descriptors: Medical Education, Accuracy, Artificial Intelligence, Computer Software
Bond, Linda; Roeber, Edward; Connealy, Selena – 1998
This document describes the trends in statewide assessment programs. It is based on surveys conducted for the Council of Chief State School Officers. Assessment directors from the 50 states were asked to provide information about the current state of assessment programs and to describe how the programs have changed over the past 6 years, including…
Descriptors: Databases, Educational Trends, Elementary Secondary Education, State Programs
Beaton, Albert E.; Gonzalez, Eugenio – 1995
This guide to the National Assessment of Educational Progress (NAEP) is designed to help the secondary data analyst use the NAEP and to introduce some of the sophisticated technology used by the NAEP. The NAEP has been gathering information on American students since 1969. It samples populations that consist of all students in U.S. schools, both…
Descriptors: Achievement Tests, Data Analysis, Databases, Educational Trends
Henson, Phillip; And Others – 1989
Talent identification in most sports occurs through mass participation and the process of natural selection; track and field does not enjoy such widespread participation. This paper reports on a project undertaken for the following purposes: improve the means by which youth with the potential for high level performance can be identified; develop…
Descriptors: Aptitude Tests, Athletes, Databases, Elementary Secondary Education