Development of the Follow-Up Discourse Observation Protocol (FUDOP) for Characterizing Instructor Active Learning Follow-Up Behaviors

Instructors often provide feedback to their class in multiple ways. One way is through their follow-up behaviors, which are the specific strategies instructors implement after active learning activities. These behaviors could play an important role in student learning as students receive feedback from the instructor. However, there is little research on the effects of different types of follow-up behaviors. Follow-up after active learning can be seen as a form of discourse between the instructor and the entire class. Previous researchers developed the Classroom Discourse Observation Protocol (CDOP) to analyze discourse between the instructor and individual students or small groups. We used CDOP as a starting point to develop and validate a new protocol, the Follow-Up Discourse Observation Protocol (FUDOP), to characterize instructional follow-up behaviors to the entire class after active-learning activities. We then used FUDOP to characterize follow-up behaviors of multiple instructors in introductory biology courses at three different universities. We measured consistent differences in these behaviors across instructors but not within instructors, demonstrating that instructors may engage in consistent follow-up behaviors. FUDOP could allow instructors and researchers to better measure and analyze follow-up behaviors and their effects, which could in turn provide guidance to instructors and faculty developers.

Authors

Institutions

Publication Details

Journal
CBE—Life Sciences Education
Published
2025-03-12
DOI
https://doi.org/10.1187/cbe.24-08-0207
Citations
1
Primary Topic
Innovative Teaching Methods
Type
article
Field-Weighted Citation Impact
8.93
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of the Follow-Up Discourse Observation Protocol (FUDOP) for Characterizing Instructor Active Learning Follow-Up Behaviors

Melinda T. Owens, Rachel Lee, Xinjian Cen, Petra Kranzfelder et al.
1 citations
CBE—Life Sciences Education
Innovative Teaching Methods
8.93
article

Development of the Follow-Up Discourse Observation Protocol (FUDOP) for Characterizing Instructor Active Learning Follow-Up Behaviors

Melinda T. Owens, Rachel Lee, Xinjian Cen, Petra Kranzfelder, Jeffrey Maloy, Maci Kight, Stanley M. Lo
article en
1 citations

Abstract

Instructors often provide feedback to their class in multiple ways. One way is through their follow-up behaviors, which are the specific strategies instructors implement after active learning activities. These behaviors could play an important role in student learning as students receive feedback from the instructor. However, there is little research on the effects of different types of follow-up behaviors. Follow-up after active learning can be seen as a form of discourse between the instructor and the entire class. Previous researchers developed the Classroom Discourse Observation Protocol (CDOP) to analyze discourse between the instructor and individual students or small groups. We used CDOP as a starting point to develop and validate a new protocol, the Follow-Up Discourse Observation Protocol (FUDOP), to characterize instructional follow-up behaviors to the entire class after active-learning activities. We then used FUDOP to characterize follow-up behaviors of multiple instructors in introductory biology courses at three different universities. We measured consistent differences in these behaviors across instructors but not within instructors, demonstrating that instructors may engage in consistent follow-up behaviors. FUDOP could allow instructors and researchers to better measure and analyze follow-up behaviors and their effects, which could in turn provide guidance to instructors and faculty developers.

CBE—Life Sciences EducationVol. 24(2)
University of California, Santa Barbara (US), University of California, Los Angeles (US), University of California San Diego (US)
Quality Education
Openalex Percentile: Top 5%
Innovative Teaching Methods
8.93
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.