Teaching and Learning Research Methods SIG Outstanding Paper Award
The Teaching and Learning Research Methods (TLRM) SIG Outstanding Paper Award is an AERA-sanctioned award intended to recognize outstanding scholarly work related to promoting, teaching, and/or learning educational research methods.To be eligible for consideration, the outstanding paper nomination must have been accepted and presented at a session sponsored (or co-sponsored) by the TLRM SIG as part of the AERA Annual Meeting. Empirical studies, methodological discussions, and pedagogical topics pertinent to promoting, teaching, and/or learning research methods are considered appropriate submissions. The paper can have been presented in any session format, including presentation, roundtable, symposium, demonstration, or poster sessions. The author(s) of the winning paper will receive recognition in the form of a certificate presented to the recipient(s) at the TLRM SIG Business Meeting held at the following year’s AERA Annual Meeting.
Congratulations to our Past Award Winners!
2025 TLRM SIG Outstanding Paper Award
Review process in progress.
Authors: Dr. Mary Antony Bair and Dr. David Bair
Title: Fostering Research Literacy Among In-Service Educators
2024 TLRM SIG Outstanding Paper Award
Author: Cordelia Zinskie
Title: Integration of DEI-focused Empirical Readings Into an Online, Graduate-Level Research Methods Course
2021 PER SIG Outstanding Paper Award
Authors: Sarah L. Ferguson and Desiree Saraceno
Title: Persistent Challenges and Practical Suggestions: Improving Student Support in Science Career Development
2020 PER SIG Outstanding Paper Award
Authors: Courtney McKim and Suzanne Young
2019 PER SIG Outstanding Paper Award
Authors: Anthony Onwuegbuzie
Title: Communication Vagueness in the Literature Review Section of Journal Article Submissions
2017 PER SIG Outstanding Paper Award
Authors: Hahs-Vaughn, Debbie L. Acquaye, HannahGriffith, Matthew D. Jo, HangMatthews, Ken Acharya, Parul
Title: Statistical literacy as a function of online versus hybrid course delivery format for an introductory graduate statistics course.