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DTSTART;TZID=America/New_York:20261112T000000
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UID:10000027-1794441600-1794700799@ncme.org
SUMMARY:2026 Classroom Assessment Conference
DESCRIPTION:NCME is excited to announce that the 6th NCME Special Conference on Classroom Assessment will take place November 12–14\, 2026\, at the Radisson Blu\, located in the Mall of America in Bloomington\, Minnesota. This year’s conference promises to be a dynamic and engaging event focused on advancing effective classroom assessment practices across educational contexts. \n\n\n\nLearn More
URL:https://ncme.org/event/2026-classroom-assessment-conference/
LOCATION:Radisson Blu Mall of America\, 2100 Killebrew Dr\, Bloomington\, Minnesota\, 55425\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261118T160000
DTEND;TZID=America/New_York:20261118T170000
DTSTAMP:20261104T221137Z
CREATED:20261104T221125Z
LAST-MODIFIED:20261104T221137Z
UID:10000059-1795017600-1795021200@ncme.org
SUMMARY:Generative Psychometrics for Automatic Item Development and In-Silico Structural Validity
DESCRIPTION:This is presented by the Artificial Intelligence in Measurement & Education SIGIMIE \n\n\n\nGenerative artificial intelligence offers possibilities for developing educational assessments\, but item generation is just the first step. How can we discover if LLM-generated items represent the intended constructs\, showing the desired dimensionality structure before collecting human data? This talk introduces generative psychometrics as a framework for integrating automatic item development with computational evaluation of structural validity using network-based psychometrics (exploratory graph analysis). The Generative Psychometrics workflow combines large language models\, LLM embeddings\, and network psychometrics (EGA\, UVA\, bootEGA) to generate\, evaluate\, and refine item pools. Construct definitions guide item generation\, while embedding representations are the input for Exploratory Graph Analysis. Unique variable analysis identifies redundant items\, and bootEGA identifies unstable items. In-silico structure provides preliminary evidence about item organization\, while structural validity based on human responses requires empirical investigation with real human data. The talk considers how model dependence\, prompt technique\, and construct definition can influence the results. For educational measurement\, this framework positions in-silico evaluation as a transparent screening and refinement stage that can strengthen construct representation\, prioritize empirical testing\, and support efficient\, theoretically grounded assessment development. \n\n\n\nRegister Now\n\n\n\nAbout the Presenters\n\n\n\n\n\n\nHudson Golino\, University of Virginia
URL:https://ncme.org/event/generative-psychometrics-for-automatic-item-development-and-in-silico-structural-validity/
CATEGORIES:Webinars
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261120T130000
DTEND;TZID=America/New_York:20261120T143000
DTSTAMP:20260429T162851Z
CREATED:20260429T162840Z
LAST-MODIFIED:20260429T162851Z
UID:10000035-1795179600-1795185000@ncme.org
SUMMARY:Classroom Assessment Committee Meeting – November
DESCRIPTION:Regular monthly committee meeting. \n\n\n\nRegister Now
URL:https://ncme.org/event/classroom-assessment-committee-meeting-november/
CATEGORIES:Webinars
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261202T130000
DTEND;TZID=America/New_York:20261202T140000
DTSTAMP:20261104T221420Z
CREATED:20261104T221409Z
LAST-MODIFIED:20261104T221420Z
UID:10000060-1796216400-1796220000@ncme.org
SUMMARY:Closing the Loop: Using Course Feedback to Improve Teaching
DESCRIPTION:This is presented by the Educators of Measurement SIGIMIE \n\n\n\nJoin the Educators of Measurement SIGMIE for a virtual coffee hour to wrap up your fall teaching! Our event\, “Closing the Loop: Using Course Feedback to Improve Teaching\,” is a friendly space to connect with fellow educators\, share experiences\, and exchange practical strategies for collecting and using course feedback. Everyone is welcome! Bring your ideas\, experiences\, and a cup of coffee. We look forward to connecting with you! \n\n\n\nRegister Now
URL:https://ncme.org/event/closing-the-loop-using-course-feedback-to-improve-teaching/
CATEGORIES:Webinars
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261209T160000
DTEND;TZID=America/New_York:20261209T170000
DTSTAMP:20261112T184340Z
CREATED:20261112T184328Z
LAST-MODIFIED:20261112T184340Z
UID:10000061-1796832000-1796835600@ncme.org
SUMMARY:Distilling LLM Error Judgments into Small\, Calibrated Models for K–12 Writing Feedback
DESCRIPTION:This is presented by the Artificial Intelligence in Measurement & Education SIGIMIE. \n\n\n\nNavvy gives K–12 students feedback on their writing by highlighting spans with convention errors. This talk covers three span types: run-ons\, fragments\, and comma errors. Licensing\, cost\, and latency keep us from serving a frontier LLM directly\, and we had no human-labeled spans to train on. Instead we used an LLM to make them. \n\n\n\nThe first question is whether we can find the errors. A frontier LLM labeled error sentences and comma sites in 4\,880 essays\, grades 3–8\, under a fixed taxonomy. A human annotator reviewed a sample to check the LLM as a rater. We then finetuned a ModernBERT model on the LLM labels and checked its agreement with the LLM on a held-out set. \n\n\n\nThe second question is which of those errors a teacher would flag at a given grade. The span model never sees grade level\, so we fit a small calibration layer on top of it and test it on a hybrid set: a small hand-annotated sample from four grades\, plus additional essays labeled by an LLM judge anchored on the human spans. We report each part separately and combined. \n\n\n\nRegister Now\n\n\n\nAbout the Presenters\n\n\n\n\n\n\nJustin Barber (Pearson)\n\n\n\nMichael Hemenway (Pearson)
URL:https://ncme.org/event/distilling-llm-error-judgments-into-small-calibrated-models-for-k-12-writing-feedback/
CATEGORIES:Webinars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261218T130000
DTEND;TZID=America/New_York:20261218T143000
DTSTAMP:20260429T162905Z
CREATED:20260429T162851Z
LAST-MODIFIED:20260429T162905Z
UID:10000036-1797598800-1797604200@ncme.org
SUMMARY:Classroom Assessment Committee Meeting – December
DESCRIPTION:Regular monthly committee meeting. \n\n\n\nRegister Now
URL:https://ncme.org/event/classroom-assessment-committee-meeting-december/
CATEGORIES:Webinars
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