Register variation in spoken and written language use across technology-mediated and non-technology-mediated learning environments von Kyle, Kristopher, Eguchi, Masaki, Choe, Ann Tai, LaFlair, Geoff

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AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning von Sharpnack, James, Mulcaire, Phoebe, Bicknell, Klinton, LaFlair, Geoff, Yancey, Kevin

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BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration von Sharpnack, James, Hao, Kevin, Mulcaire, Phoebe, Bicknell, Klinton, LaFlair, Geoff, Yancey, Kevin, von Davier, Alina A

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AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning von Sharpnack, James, Mulcaire, Phoebe, Bicknell, Klinton, LaFlair, Geoff, Yancey, Kevin

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A Comparison of Spoken and Written Language Use in Traditional and Technology‐Mediated Learning Environments von Kyle, Kristopher, Choe, Ann Tai, Eguchi, Masaki, LaFlair, Geoff, Ziegler, Nicole

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A Comparison of Spoken and Written Language Use in Traditional and Technology-Mediated Learning Environments. TOEFL® Research Report. RR-94. ETS RR-21-16 von Kyle, Kristopher, Choe, Ann Tai, Eguchi, Masaki, LaFlair, Geoff, Ziegler, Nicole

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BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration von Sharpnack, James, Hao, Kevin, Mulcaire, Phoebe, Bicknell, Klinton, LaFlair, Geoff, Yancey, Kevin, von Davier, Alina A

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Computational Psychometrics for Digital-First Assessments: A Blend of ML and Psychometrics for Item Generation and Scoring von LaFlair, Geoff, Yancey, Kevin, Settles, Burr, von Davier, Alina A

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