BEGIN:VCALENDAR VERSION:2.0 PRODID:-//NCME - ECPv6.17.4.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:NCME X-ORIGINAL-URL:https://ncme.org X-WR-CALDESC:Events for NCME REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20250309T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20251102T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20260308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20261101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20270314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20271107T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/New_York:20260918T120000 DTEND;TZID=America/New_York:20260918T133000 DTSTAMP:20260910T200918Z CREATED:20260813T203232Z LAST-MODIFIED:20260910T200918Z UID:10000042-1789732800-1789738200@ncme.org SUMMARY:Understanding the Content Development Cycle … Or Why Item Development Costs So Much Time & Money DESCRIPTION:This is presented by the Large-Scale Assessment SIGIMIE. \n\n\n\nIt takes 18 to 30 months to develop content for a high-quality\, large-scale assessment—even after the test design is finalized. Furthermore\, test development teams are constantly juggling three overlapping development cycles at any given time\, interconnected through linked operational and field testing. \n\n\n\nIn this webinar\, Marjorie Wine will guide you through the core content development cycle—a process that remains remarkably consistent across assessments. From its six major stages (plus field and operational testing) to its dozens of intricate sub-steps\, you will gain an insider’s view of the complex processes led by Content Development Professionals (CDPs) and discover how their work provides the foundational evidence supporting an assessment’s validity argument. \n\n\n\nWebinar Agenda & Format\n\n\n\n\nPresentation (60 mins): A step-by-step breakdown of the content development cycle\, overlapping operational/field testing phases\, and cost/time drivers.\n\n\n\nDiscussion & Q&A (Up to 30 mins): An interactive session to answer your questions and discuss real-world applications with the speaker.\n\n\n\n\nRegister Now\n\n\n\nAbout the Presenter\n\n\n\nMarjorie Wine has worked in content development in large scale assessment—the development of items and instruments—for over 20 years. She has worked at virtually every major test development organization in the country and has worked both client-side and vendor-side. Marjorie has risen from entry-level content development professional to overseeing all content development (i.e.\, including ELA\, math\, science and social studies) for multiple national assessments\, and has contributed to state tests from Massachusetts to Hawaii—and many states in between. URL:https://ncme.org/event/understanding-the-content-development-cycle-or-why-item-development-costs-so-much-time-money/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20260918T130000 DTEND;TZID=America/New_York:20260918T143000 DTSTAMP:20260429T162754Z CREATED:20260429T162743Z LAST-MODIFIED:20260429T162754Z UID:10000033-1789736400-1789741800@ncme.org SUMMARY:Classroom Assessment Committee Meeting – September DESCRIPTION:Regular monthly committee meeting. \n\n\n\nRegister Now URL:https://ncme.org/event/classroom-assessment-committee-meeting-september/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20260918T130000 DTEND;TZID=America/New_York:20260918T143000 DTSTAMP:20260910T212930Z CREATED:20260910T202611Z LAST-MODIFIED:20260910T212930Z UID:10000051-1789736400-1789741800@ncme.org SUMMARY:Graduate Career Day Series – September 18 DESCRIPTION:This is presented by the Graduate Student Issues Committee. \n\n\n\nThe American Educational Research Association (AERA) Division H (Research\, Evaluation\, and Assessments in Schools)\, Division D (Measurement and Research Methodologies)\, and National Council on Measurement in Education Graduate Students Issue Committee (NCME GSIC) is hosting a Career Day Series! The event will take place September 11\, 18\, and 25\, from 1-2:30 p.m. Eastern. \n\n\n\nRegister Now URL:https://ncme.org/event/graduate-career-day-series-september-18/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20260918T150000 DTEND;TZID=America/New_York:20260918T160000 DTSTAMP:20260819T210402Z CREATED:20260817T160041Z LAST-MODIFIED:20260819T210402Z UID:10000043-1789743600-1789747200@ncme.org SUMMARY:Culturally Responsive Assessments in the Context of the National Assessment of Educational Progress: An Initial Exploration DESCRIPTION:This is presented by the IMHM SIGIMIE. \n\n\n\nRegister Now\n\n\n\nAbout the Presenter\n\n\n\n\n\n\n\n\n\n\n\nDr. Sandip SinharayETS Research Institute  URL:https://ncme.org/event/culturally-responsive-assessments-in-the-context-of-the-national-assessment-of-educational-progress-an-initial-exploration/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20260925T130000 DTEND;TZID=America/New_York:20260925T143000 DTSTAMP:20260910T212858Z CREATED:20260910T202644Z LAST-MODIFIED:20260910T212858Z UID:10000052-1790341200-1790346600@ncme.org SUMMARY:Graduate Career Day Series – September 25 DESCRIPTION:This is presented by the Graduate Student Issues Committee. \n\n\n\nThe American Educational Research Association (AERA) Division H (Research\, Evaluation\, and Assessments in Schools)\, Division D (Measurement and Research Methodologies)\, and National Council on Measurement in Education Graduate Students Issue Committee (NCME GSIC) is hosting a Career Day Series! The event will take place September 11\, 18\, and 25\, from 1-2:30 p.m. Eastern. \n\n\n\nRegister Now URL:https://ncme.org/event/graduate-career-day-series-september-25/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20260929T140000 DTEND;TZID=America/New_York:20260929T150000 DTSTAMP:20260528T155016Z CREATED:20260528T155005Z LAST-MODIFIED:20260528T155016Z UID:10000038-1790690400-1790694000@ncme.org SUMMARY:Introduction of the Assessment and Measurement to Support Classroom Learning SIGMIE DESCRIPTION:This is presented by the Assessment and Measurement to Support Classroom Learning (AMSCL) SIGIMIE. \n\n\n\nThis webinar will introduce the purpose and vision of the new Assessment and Measurement to Support Classroom Learning (AMSCL) SIGMIE within NCME and its connection to the Classroom Assessment Committee. The session will feature a panel of leading experts exploring what classroom assessment is and why it remains a critical focus in the field. Participants will then engage in small-group discussions to reflect on key ideas\, consider implications for the SIGMIE\, and help shape future topics. The webinar will conclude with an invitation to stay connected through upcoming events\, including the November conference and future SIGMIE programming. \n\n\n\nRegister Now URL:https://ncme.org/event/introduction-of-the-assessment-and-measurement-to-support-classroom-learning-sigmie/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20260930T130000 DTEND;TZID=America/New_York:20260930T140000 DTSTAMP:20260908T164932Z CREATED:20260908T164740Z LAST-MODIFIED:20260908T164932Z UID:10000048-1790773200-1790776800@ncme.org SUMMARY:Teaching and Learning Measurement in the Age of AI: Metacognition\, Evaluation\, and Exercises DESCRIPTION:This is presented by the Training and Professional Development Committee. \n\n\n\nLarge language models make difficult work easy\, which means the learning in a measurement course now emphasizes the work a model cannot do for the learner. This session presents a method for teaching and learning educational measurement with AI\, built on two habits: attending to the model’s reasoning as well as one’s own in terms of metacognition and executive function\, since every answer rests on silent inferences about the learner’s goal and about the standard of good practice that applies to it; and attention to the popular misconceptions and salient misunderstandings that these models have uncritically learned from the broad literature and now reproduce with confidence. Participants will see example exercises that put these habits to work — coding collaboratively with a model on a measurement problem\, casting the model as “Reviewer 2” against a classic paper\, tracing how a foundational study’s ideas grew or were left behind\, and testing a claimed gap through simulation — and will learn to write their own AI skills: short\, reusable instructions for LLMs that fix the model’s goal\, standard\, and procedure in advance\, so that executive control of the task stays with the learner rather than passing to the model. \n\n\n\nParticipants will be able to: \n\n\n\n\nIdentify the two inferences a language model makes before answering a measurement question\, and evaluate both alongside the answer itself.\n\n\n\nAnticipate the measurement topics on which AI has uncritically learned the field’s popular misconceptions\, and check its answers against what the discipline can actually defend.\n\n\n\nAdapt classroom exercises — collaborative coding\, adversarial review\, conceptual tracing\, and simulation — that use AI to build understanding of measurement rather than to bypass it.\n\n\n\nDraft a reusable AI skill that specifies a goal\, a standard\, and a procedure\, so that the learner sets the terms of the task in advance.\n\n\n\n\nRegister Now\n\n\n\nAbout the Presenter\n\n\n\nJoseph H. Grochowalski\, PhD\, is a Senior Psychometrician at the College Board whose work includes measurement validity\, test security\, standard setting\, machine cognition in AI-based scoring\, and the assessment of durable skills. He is an adjunct professor at Teachers College\, Columbia University\, and New York University\, and he consults medical schools with a focus on novel measures of interaction-based skills. He currently co-chairs the NCME Training and Professional Development Committee and offers a workshop on the use of large language models in learning and teaching educational measurement. URL:https://ncme.org/event/teaching-and-learning-measurement-in-the-age-of-ai-metacognition-evaluation-and-exercises/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20261005T000000 DTEND;TZID=America/New_York:20261007T235959 DTSTAMP:20260212T211856Z CREATED:20260212T211850Z LAST-MODIFIED:20260212T211856Z UID:10000025-1791158400-1791417599@ncme.org SUMMARY:2026 AIME-Con DESCRIPTION:We are thrilled to announce the return of the NCME Artificial Intelligence in Measurement and Education Conference (AIME–Con)! Following last year’s sold-out success\, AIME-Con 2026 will be held in Pittsburgh at the Wyndham Grand Pittsburgh Downtown on October 5–7. \n\n\n\nLearn More URL:https://ncme.org/event/2026-aime-con/ LOCATION:Wyndham Grand Pittsburgh Downtown\, 600 Commonwealth Pl\, Pittsburgh\, Pennsylvania\, 15222\, United States END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20261009T103000 DTEND;TZID=America/New_York:20261009T113000 DTSTAMP:20260901T215022Z CREATED:20260901T213624Z LAST-MODIFIED:20260901T215022Z UID:10000047-1791541800-1791545400@ncme.org SUMMARY:Why Educational Measurement Matters in the Age of AI DESCRIPTION:This is presented by the NCME Communications Committee \n\n\n\nThis public-facing NCME webinar brings together leaders in educational measurement\, assessment\, learning analytics\, and AI in education to discuss what our field can contribute in the age of modern AI. Panelists Andrew Ho from Harvard University\, Kristen DiCerbo from Khan Academy\, and Alyssa Wise from Vanderbilt University will explore why concepts such as validity\, fairness\, evidence\, interpretation\, and responsible use are essential for designing and evaluating AI-enabled educational systems. The session will be moderated by Seyedahmad (Ahmad) Rahimi\, chair of the NCME Communications Committee\, and aims to build bridges between NCME and adjacent communities\, including AI in education\, learning analytics\, EDM\, EdTech\, and the learning sciences. \n\n\n\nRegister Now\n\n\n\nAbout the Presenters\n\n\n\n\n\nAndrew Ho\, Charles William Eliot Professor of Education\, Harvard Graduate School of EducationAndrew Ho is the Charles William Eliot Professor of Education at the Harvard Graduate School of Education. His work focuses on educational measurement\, testing\, accountability\, and the interpretation and use of assessment results. He is a past president of NCME and delivered the 2025 NCME Presidential Address\, “Metaphors\, Mantras\, and Mnemonics: Communication Competencies in Educational Measurement.” \n\n\n\n\n\n\n\n\n\n\n\n\n\nKristen DiCerbo\, Chief Learning Officer\, Khan AcademyKristen DiCerbo\, Ph.D.\, is Chief Learning Officer at Khan Academy\, where she helps guide teaching and learning strategy and research-based approaches across Khan Academy’s offerings. Her work connects assessment\, learning science\, educational technology\, and AI-supported learning. Before joining Khan Academy\, she was Vice President of Learning Research and Design at Pearson. \n\n\n\n\n\n\n\n\n\n\n\n\n\nAlyssa Wise\, Professor of Technology and Education\, Department of Teaching and Learning\, Vanderbilt University; Director\, LIVE Learning Innovation IncubatorAlyssa Wise is Professor of Technology and Education in the Department of Teaching and Learning at Vanderbilt University and Director of the LIVE Learning Innovation Incubator. Her research combines data science\, learning sciences\, and human-centered design to build and study learning analytics and AI systems that promote equitable and effective learning. URL:https://ncme.org/event/why-educational-measurement-matters-in-the-age-of-ai/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20261013T120000 DTEND;TZID=America/New_York:20261013T130000 DTSTAMP:20260910T145124Z CREATED:20260910T145114Z LAST-MODIFIED:20260910T145124Z UID:10000049-1791892800-1791896400@ncme.org SUMMARY:A Computational Psychometrics Ecosystem for Large-Scale Language Assessment: Integrating Measurement\, Artificial Intelligence\, and Governance DESCRIPTION:This is presented by the Large-Scale Assessments SIGIMIE. \n\n\n\nLarge-scale language assessments increasingly rely on digital platforms that generate extensive linguistic\, behavioural\, and operational data. These data create opportunities to improve assessment design\, scoring\, delivery\, security\, and reporting\, but they also introduce significant measurement challenges. Computational applications are often implemented as separate technical solutions\, making it difficult to determine whether improvements in efficiency or predictive accuracy strengthen the validity of score interpretations and uses—or introduce construct-irrelevant variance\, subgroup differences\, model drift\, and new threats to fairness and comparability. \n\n\n\nThis webinar presents the Computational Psychometrics Ecosystem (CPE)\, an integrative framework for embedding computational methods within established psychometric principles across the lifecycle of large-scale language assessment. The framework comprises six interconnected layers: (1) Measurement Foundations\, including construct definition\, validity\, reliability\, fairness\, and psychometric modelling; (2) Multimodal Data\, encompassing item responses\, response times\, speech\, writing\, and process data; (3) Computational Methods\, including artificial intelligence\, machine learning\, natural language processing\, Bayesian modelling\, and simulation; (4) Assessment Applications\, including automated item generation\, adaptive and multistage testing\, automated scoring\, cognitive diagnosis\, and test-security analysis; (5) Operational Intelligence\, including quality assurance\, anomaly detection\, model monitoring\, predictive analytics\, and decision support; and (6) Governance\, encompassing transparency\, explainability\, privacy\, accountability\, auditability\, and human oversight. \n\n\n\nWithin the CPE\, computational performance is not treated as sufficient evidence of measurement quality. Instead\, each application is evaluated in relation to its intended contribution to the assessment’s validity argument. Operational illustrations from large-scale language assessment are used to identify relevant evidence requirements\, including construct and content representation\, item calibration\, linking and equating\, subgroup performance\, measurement invariance\, human–machine agreement\, classification consistency\, model drift\, uncertainty\, and the consequences of automated decisions. \n\n\n\nThe framework demonstrates how computational psychometrics can extend—rather than replace—Classical Test Theory\, Item Response Theory\, Generalizability Theory\, and Many-Facet Rasch Measurement. It also provides a structure for investigating how innovations affect score comparability\, fairness\, security\, and the appropriate interpretation and use of assessment results. The CPE offers researchers and assessment organisations a common basis for designing\, evaluating\, monitoring\, and governing AI-enabled language assessments while preserving the scientific and ethical foundations of large-scale educational measurement. \n\n\n\nRegister Now\n\n\n\nAbout the Presenter\n\n\n\n\n\nDr Ardeshir Geranpayeh is an assessment and educational technology specialist with more than three decades of experience in psychometrics\, high-stakes testing\, and automated assessment. Before establishing his computational psychometrics consultancy in 2022\, he held several senior positions at Cambridge University Press & Assessment\, including Head of Psychometrics and Data Services and Head of Automated Assessment and Learning. His work integrates established psychometric principles with advances in artificial intelligence and machine learning to support the development of valid\, reliable\, fair\, and innovative assessment systems. \n\n\n\nDr Geranpayeh has delivered more than 80 academic papers and professional presentations internationally. He is also an experienced workshop leader in assessment and test security and has contributed to major conferences organised by the National Council on Measurement in Education\, the Association of Test Publishers\, the Association of Language Testers in Europe\, and the International Test Commission. He is particularly skilled at making complex assessment concepts accessible to audiences from diverse professional backgrounds. URL:https://ncme.org/event/a-computational-psychometrics-ecosystem-for-large-scale-language-assessment-integrating-measurement-artificial-intelligence-and-governance/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20261016T130000 DTEND;TZID=America/New_York:20261016T143000 DTSTAMP:20260429T162808Z CREATED:20260429T162756Z LAST-MODIFIED:20260429T162808Z UID:10000034-1792155600-1792161000@ncme.org SUMMARY:Classroom Assessment Committee Meeting – October DESCRIPTION:Regular monthly committee meeting. \n\n\n\nRegister Now URL:https://ncme.org/event/classroom-assessment-committee-meeting-october/ CATEGORIES:Webinars END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20261112T000000 DTEND;TZID=America/New_York:20261114T235959 DTSTAMP:20260212T213246Z CREATED:20260212T213240Z LAST-MODIFIED:20260212T213246Z 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 END:VEVENT 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 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 END:VEVENT END:VCALENDAR