coe-staff: Colloquium Invitation: Educational Leadership Tenure-Track Faculty Candidate, Chia Yi Chiu - Feedback

[Carmen Cybula]

Good afternoon!

Pasted below is a link to the recording of Dr. Chia-Yi Chiu's EMPL Colloquium from 12/2, if you were unable to attend the colloquium in person but want to view the recording: https://youtu.be/IZEIokCYBg0.

We also welcome all (faculty, staff, students, etc.) who had the opportunity to attend or view this colloquium and/or interact with Dr. Chia-Yi Chiu during her campus visit this week to provide feedback via this Qualtrics survey: https://oregon.qualtrics.com/jfe/form/SV_5pZ7dak8HKUonnD. Please participate by December 11, 2019 (next Wednesday).

Best,
Carmen

From: coe-staff-bounces at lists.uoregon.edu <coe-staff-bounces at lists.uoregon.edu> On Behalf Of Carmen Cybula
Sent: Monday, December 2, 2019 9:47 AM
To: 'coe-staff at lists.uoregon.edu' <coe-staff at lists.uoregon.edu>
Subject: Re: coe-staff: Colloquium Invitation: Educational Leadership Tenure-Track Faculty Candidate, Chia Yi Chiu

Hi, all!

This is a friendly reminder about Dr. Chia-Yi Chiu's 2:30 colloquium this afternoon in HEDCO 230T. We hope you can make it! :)

Best,
Carmen

From: coe-staff-bounces at lists.uoregon.edu<mailto:coe-staff-bounces at lists.uoregon.edu> <coe-staff-bounces at lists.uoregon.edu<mailto:coe-staff-bounces at lists.uoregon.edu>> On Behalf Of Carmen Cybula
Sent: Wednesday, November 20, 2019 10:28 AM
To: 'coe-staff at lists.uoregon.edu' <coe-staff at lists.uoregon.edu<mailto:coe-staff at lists.uoregon.edu>>
Subject: coe-staff: Colloquium Invitation: Educational Leadership Tenure-Track Faculty Candidate, Chia Yi Chiu

Good morning!

Please mark your calendars for the following colloquium presentation by Dr. Chia-Yi Chiu, a candidate for Educational Methodology, Policy, and Leadership's tenure-track faculty search (CV attached). The event will include a 1-hour presentation and a 30-minute Q&A session. Coffee and snacks will be provided.
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Monday, December 2, 2:30-4:00pm, HEDCO 230T: Chia-Yi Chiu, PhD
CAT for Cognitive Diagnosis in Classrooms: The Nonparametric Approaches
Computerized adaptive testing (CAT) is characterized by its high estimation efficiency and accuracy, in contrast to the traditional paper-and-pencil format. CAT specifically for cognitive diagnosis (CD-CAT) carries the same advantages, and has been seen as a tool for advancing the use of cognitive diagnosis (CD) assessment for educational practice. A powerful item selection method is the key to the success of a CD-CAT program, and to date, various parametric item selection methods have been proposed, and well-researched. However, these parametric methods all require large samples, to secure high-precision calibration of the items in the item bank. Thus, at present, implementation of parametric methods in small-scale educational settings, such as classroom, remains challenging.

In response to this issue, Chang, Chiu, and Tsai (2018) proposed the nonparametric item selection (NPS) method that does not require parameter calibration, and outperforms the parametric methods for settings with only small or no calibration samples. Nevertheless, the NPS method is not without limitations; extra assumptions are required to guarantee a consistent estimator of the attribute profiles when data conform to complex models. To remedy this shortcoming, the general nonparametric item selection (GNPS) method that incorporates the newly developed general NPC (GNPC) method (Chiu, Sun, & Bian, 2018) as the classification vehicle is proposed. The inclusion of the GNPC method in the GNPS method relaxes the assumptions imposed on the NPS method. As a result, the GNPS method can be used with any model or multiple models without abandoning the advantage of being a small sample technique.

These two newly developed nonparametric item selection methods will be presented and discussed in the colloquium. However, the value of a CAT algorithm is limited if it is not implemented in the real settings. Hence, an interactive web app developed based on the nonparametric CD-CAT framework for an online statistics course will also be demonstrated.
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Dr. Chia-Yi Chiu is an associate professor of Educational Statistics, Measurement, and Evaluation (ESME) in the Department of Educational Psychology at Rutgers, and is recognized for her research on the development of new methods for cognitive diagnosis. Chiu studied Mathematics at National Taiwan Normal University, becoming a high school Mathematics teacher. She then went on to receive a master's degree focused on Mathematics in Teaching from the University of Northern Colorado. Chiu received her second master's degree in Statistics and a doctoral degree in Quantitative and Evaluative Research Methodologies from the University of Illinois at Urbana-Champaign. With her dissertation, she received the prestigious Brenda H. Loyd Outstanding Dissertation Award from the National Council on Measurement in Education (NCME) in 2010. Throughout her career, Chiu has actively published in refereed journals, chapters in books, and even software. She is currently an associate editor of two prestigious journals, Psychometrika and Journal of Classification. The highlight of her recent research is that she was awarded the Faculty Early Career Development Program (CAREER) grant, the most prestigious grant in the National Science Foundation (NSF).

Carmen Cybula
Office Support Specialist
Educational Methodology, Policy, and Leadership
University of Oregon | College of Education
541-346-5171
Pronouns: she/her/hers

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