首页|Studies from Arizona State University Further Understanding of Machine Learning [Mxml (Exploring the Relationship Between Measurement and Machine Learning): Current State of the Field]
Studies from Arizona State University Further Understanding of Machine Learning [Mxml (Exploring the Relationship Between Measurement and Machine Learning): Current State of the Field]
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NETL
NSTL
Wiley
Investigators publish new report on Machine Learning. According to news reporting from Tempe, Arizona, by NewsRx journalists, research stated, “The recent surge of machine learning (ML) has impacted many disciplines, including educational and psychological measurement (hereafter shortened as measurement). The measurement literature has seen rapid growth in applications of ML to solve measurement problems.” The news correspondents obtained a quote from the research from Arizona State University, “However, as we emphasize in this article, it is imperative to critically examine the potential risks associated with involving ML in measurement. The MxML project aims to explore the relationship between measurement and ML, so as to identify and address the risks and better harness the power of ML to serve measurement missions. This paper describes the first study of the MxML project, in which we summarize the state of the field of applications, extensions, and discussions about ML in measurement contexts with a systematic review of the recent 10 years’ literature.”
TempeArizonaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningArizona State University
NETL
NSTL
Wiley
