Using Applied Conversation Analysis and Membership Categorization Analysis to Study STEM Graduate Student Teaching Development

Text Registration

Using Applied Conversation Analysis and Membership Categorization Analysis to Study STEM Graduate Student Teaching Development

Status

Published

on 29 Jun 2020

Year of Creation

2020

Francesca Arielle Williamson

Registration Number

TX0008884760

on 29 Jun 2020

The U.S. Copyright record (Registration Number: TX0008884760) dated 29 Jun 2020, pertains to an electronic file (eService) titled "Using Applied Conversation Analysis and Membership Categorization Analysis to Study STEM Graduate Student Teaching Development" created in 2020. The copyright holder is Francesca Arielle Williamson, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Francesca Arielle Williamson.

Francesca Arielle Williamson

Application Details

Registration Number

TX0008884760

Registration Date

6/29/2020

Year of Creation

2020

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Francesca Arielle Williamson

Notes

Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Using Applied Conversation Analysis and Membership Categorization Analysis to Study STEM Graduate Student Teaching Development

Author Statement: Francesca Arielle Williamson Citizenship: not known Authorship: text

Notes

Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Using Applied Conversation Analysis and Membership Categorization Analysis to Study STEM Graduate Student Teaching Development

Author Statement: Francesca Arielle Williamson Citizenship: not known Authorship: text

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