首页|Reports Outline Machine Learning Findings from National Board of Medical Examiners (Assessing the Validity of Test Scores Using Response Process Data From an Eye-tracking Study: a New Approach)
Reports Outline Machine Learning Findings from National Board of Medical Examiners (Assessing the Validity of Test Scores Using Response Process Data From an Eye-tracking Study: a New Approach)
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NETL
NSTL
Springer Nature
Current study results on Machine Learning have been published. According to news originating from Philadelphia, Pennsylvania, by NewsRx correspondents, research stated, “Understanding the response process used by test takers when responding to multiple-choice questions (MCQs) is particularly important in evaluating the validity of score interpretations. Previous authors have recommended eye-tracking technology as a useful approach for collecting data on the processes test taker’s use to respond to test questions.”
PhiladelphiaPennsylvaniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningNational Board of Medical Examiners
NETL
NSTL
Springer Nature
