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Direct linkWalker, Jeremy; Coleman, Jason – College & Research Libraries, 2021
This study aims to evaluate the effectiveness and potential utility of using machine learning and natural language processing techniques to develop models that can reliably predict the relative difficulty of incoming chat reference questions. Using a relatively large sample size of chat transcripts (N = 15,690), an empirical experimental design…
Descriptors: Artificial Intelligence, Natural Language Processing, Prediction, Library Services
Download full textJohnson, Gina; Appel, Sara – Midwestern Higher Education Compact, 2020
The National Center for Higher Education Management Systems (NCHEMS) and MHEC were awarded a competitive grant from the American Institutes for Research in 2019 as part of its National Research Collaborative on Postsecondary Competency-based Education and Learning (cberesearch.org). The grant objective was to specifically identify state policies…
Descriptors: Transcripts (Written Records), Military Service, Military Training, Educational Policy
