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PEERS Workshop on Quantitative and Computational Methods for STEM Education Research—No Fee, Register Now

This series of workshops is really good (so far) and might be of interest to some of you.

 

Julie Libarkin (she / her)
Professor & Director - Geocognition Research Lab
Michigan State University
288 Farm Lane, 206 Natural Science
East Lansing, MI 48824
 
Phone: 517-355-8369
Email: [log in to unmask]

Website: https://geocognitionresearchlaboratory.wordpress.com/

 

Michigan State University occupies the ancestral, traditional, and contemporary Lands of the Anishinaabeg–Three Fires Confederacy of Ojibwe, Odawa, and Potawatomi peoples. The University resides on Land ceded in the 1819 Treaty of Saginaw.

- http://aisp.msu.edu/about/land/

 

From: AERA-ICPSR PEERS Data Hub <[log in to unmask]>
Reply-To: "[log in to unmask]" <[log in to unmask]>
Date: Friday, February 12, 2021 at 11:20 AM
To: "Libarkin, Julie" <[log in to unmask]>
Subject: PEERS Workshop on Quantitative and Computational Methods for STEM Education Research—No Fee, Register Now

 

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February 25, 2021

1:00 pm–3:30 pm ET

 

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The AERA-ICPSR PEERS Data Hub will hold a workshop on “Cutting-Edge Quantitative and Computational Methods for STEM Education Research.” The workshop, offered at no cost, is the second in a series of webinars offered through the PEERS Data Hub that will focus on research methods in STEM education research.

 

 

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Instructors

 

Kenneth Frank, Michigan State University

Guanglei Hong, University of Chicago

Stephen Raudenbush, University of Chicago

Yanyan Sheng, University of Chicago

Kaitlin Torphy, Michigan State University

 

About the Workshop

 

The overall goal of this webinar is to inform participants of a wide range of significant research questions, data structures, and advanced analytic techniques in the context of theory-driven and data-informed rigorous empirical investigations of STEM education, especially concerning under-represented groups. Cutting-edge methods are essential to study student and teacher experiences with STEM education programs developed, implemented, and evaluated in a complex environment that outstrips what can be rendered by conventional statistical techniques. To illustrate major methodological considerations, instructors will use a stylized case that evaluates the potentially differential impacts of curricular innovations representing the Next Generation Scientific Standards (NGSS) on instructional practices, student engagement, and science achievement. Key methodological issues will be discussed in six inter-related modules:

 

(1) Design: How to select the sample of schools and teachers and whether to adopt an experimental or a quasi-experimental design suitable for causal inference of the effects of the curricular innovation.

(2) Measurement: How to construct theoretically grounded instruments with strong psychometric properties to measure student engagement, student learning, teacher practices, etc.

(3) Social network analysis: How to represent and model teachers’ interactions with one another as they adapt and implement the new curriculum.

(4) Multilevel modeling: How to represent and model the student, teacher, and school level factors that affect the implementation and outcomes of the curriculum.

(5) Causal mediation analysis: How to examine instructional practices as a mediator of the effects of the curriculum on student outcomes.

(6) Computational methods: How to account for teachers’ and students’ engagement with one another and educational resources on-line.

 

Each module will consist of a 10-20 minute presentation followed by 5 minutes of Q&A. Some of the instructors will remain after the session for further conversation. Participants are encouraged to visit https://voices.uchicago.edu/nsf-siarm/ for information about a 3-year training initiative led by the team of instructors.

 

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The workshop will broadcast live on Zoom.

ASL interpretation and captioning will be provided.

 

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The PEERS Data Hub is joint effort of AERA and the Inter-University Consortium for Political and Social Research (ICPSR) that is NSF funded (Award ECR 1937612). It provides collaborative space for STEM education research communities to build and advance knowledge by sharing innovative ideas, methods, and tools. Further information about the PEERS Data Hub is available here.

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American Educational Research Association

1430 K Street, NW

Suite 1200

Washington, DC 20005
(202) 238-3200

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