Item Response Theory and Artificial Intelligence: Leading Experts at the International IACAT Conference June 10-13 Discuss How Adaptive Assessments Improve Testing

MINNEAPOLIS–(BUSINESS WIRE)–The International
Association for Computerized Adaptive Testing
(IACAT) 2019
Conference June 10-13 may likely foster the most provocative discussions
this year about testing in education when researchers, practitioners,
psychometricians, test developers, and school leaders come together to
discuss adaptive assessments. And while Computerized Adaptive Testing
(CAT) has been around for over 40 years, it is not the norm for the
nation’s most common tests, summative assessments in education. Click
to Tweet
.

Dr. David Weiss, who is generally regarded as the grandfather of
Computerized Adaptive Testing, is the featured keynote speaker. In his
typically outspoken manner, Dr. Weiss is expected to pull no punches in
his speech about the current testing landscape and how testing has
driven education to a commodity exchange of inputs and outputs. The
current assessment climate, he says, is missing the opportunity to learn
about individual aptitudes, strengths, and weaknesses and how to
generate test results that informs instruction in a meaningful way.

Additional conference sessions include assessing nonverbal IQ in
autistic students, identifying enemy question items that sabotage test
validity, multistage testing, artificial intelligence in assessment,
on-the-fly machine learning, item response theory, shadow-test approach
in RSCAT, rapid guessing behavior, vertical scaling, and more. In
addition, applications of CAT are discussed in fields as diverse as
ophthalmology, language, and employment.

Assessment
Systems Corporation
(ASC), a Minnesota-based international leader in
adaptive and AI-enabled assessment, is the host of IACAT 2019, which
will be held on the University of Minnesota campus. Attendees and
speakers from around the United States and the world will attend.
Registration information can be found at http://bit.ly/IACAT2019.

About Computerized Adaptive Testing

Computerized
Adaptive Testing
(CAT) was one of the first uses of AI in education,
replacing a human examiner with a computer, based on complex machine
learning algorithms known as item response theory (IRT) instead of fixed
rules. Adaptive testing is far more efficient than regular testing,
offering a 50-90 percent reduction in testing time with no loss of
accuracy. It also has other documented advantages such as making the
test more secure and increasing engagement or motivation for the
test-takers. Learn more at IACAT.org

About Assessment Systems

Assessment
Systems
has been a leader in the assessment industry since 1979,
providing both world-class software for test development, secure
delivery, and psychometric analytics, as well as extensive consulting
services for testing organizations. ASC co-founder, Dr. David Weiss, is
considered the father of computerized adaptive testing (CAT), and ASC
was the first company to offer item banking and testing software to the
public, in the early 1980s. Organizations such as the American Board of
Optometry, the American Board of Pathology, and Michigan State
University, as well as the Ministries of Education in countries as
diverse as Iceland, United Arab Emirates, Singapore, and Botswana rely
on Assessment Systems to develop accurate measurements across a variety
of subjects. Follow us on LinkedIn
or @Assess_Systems.

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(Excerpt) Read more Here | 2019-05-15 12:10:00
Image credit: source

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