Teachers' cognitive load and track recommendations

Last registered on January 23, 2023

Pre-Trial

Trial Information

General Information

Title
Teachers' cognitive load and track recommendations
RCT ID
AEARCTR-0010756
Initial registration date
January 23, 2023

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
January 23, 2023, 7:29 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2023-01-24
End date
2024-09-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study how teachers' limited cognitive capacity affects the track recommendations for their students. In particular, we run an experiment with teachers in which they are shown a series of hypothetical students' profiles, and they are asked to provide a track recommendation to each student. We explore whether limited cognitive capacity - either through limited memory or higher cognitive load - leads teachers to assign more gender-stereotypical recommendations to students.
External Link(s)

Registration Citation

Citation
Miserocchi, Francesca. 2023. "Teachers' cognitive load and track recommendations." AEA RCT Registry. January 23. https://doi.org/10.1257/rct.10756-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2023-01-24
Intervention End Date
2023-03-24

Primary Outcomes

Primary Outcomes (end points)
Teachers' hypothetical track recommendations and reported characteristics of the students' profiles.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The description of the design is under the "Experimental Design (Hidden)" field.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer.
Randomization Unit
Teachers.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Around 500 teachers.
Sample size: planned number of observations
Around 500 teachers.
Sample size (or number of clusters) by treatment arms
Equal numbers of teachers in each treatment arm.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Harvard
IRB Approval Date
2023-11-08
IRB Approval Number
IRB22-1395