Digital skills, university choice and non-cognitive skills: a Randomized Trial

Last registered on November 01, 2021

Pre-Trial

Trial Information

General Information

Title
Digital skills, university choice and non-cognitive skills: a Randomized Trial
RCT ID
AEARCTR-0008407
Initial registration date
October 27, 2021

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
November 01, 2021, 10:34 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
European University Institute, Department of Economics/Karolinska Institute, Department of Medical Epidemiology and Biostatistics

Other Primary Investigator(s)

PI Affiliation
European University Institute, Department of Economics
PI Affiliation
European University Institute, Robert Schuman Centre for Advanced Studies
PI Affiliation
University of Florence, Department of Statistics, Computer Science, Applications
PI Affiliation
University of Florence, Department of Statistics, Computer Science, Applications
PI Affiliation
University of Florence, Department of Statistics, Computer Science, Applications
PI Affiliation
University of Florence, Department of Statistics, Computer Science, Applications

Additional Trial Information

Status
In development
Start date
2021-11-01
End date
2022-06-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We conduct an RCT in Italian high schools with different mayors, and we randomize access to digital skill courses. Courses are taken by students for credit, they are standard in format and employ a tested learn-by-doing pedagogical approach, and cover 3D design, 3D printing, and laser cutting: these content in Italy are typically covered by selected STEM courses at the university level. We test whether participation fosters interest in STEM subjects for future university studies, relative occupations, creativity and grit, in separate manuscripts. In particular, we are interested in detecting gender differences in the effect of treatment. The ever-growing demand on the job market for digital skills and STEM degrees makes them important components of pre-university education. However, especially in countries with education systems dominated by humanistic subjects, school curricula fail to include scientific and quantitative subjects to a sufficient degree, and under-expose students to the use of technology, leading to sub-optimal demand for STEM degrees at the university level. This is particularly true for girls, as they tend to engage less with STEM-related education at school even when it is offered, and thus self-select into non-STEM subjects at university (OECD, 2020).
External Link(s)

Registration Citation

Citation
Ballerini, Veronica et al. 2021. "Digital skills, university choice and non-cognitive skills: a Randomized Trial." AEA RCT Registry. November 01. https://doi.org/10.1257/rct.8407-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2021-11-15
Intervention End Date
2022-06-15

Primary Outcomes

Primary Outcomes (end points)
-Interest for STEM subjects for future university studies
-Interest for STEM-related occupations
-Creativity
-Grit
Primary Outcomes (explanation)
See attached Pre-Analysis Plan

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Two experimental groups:

T: Students are offered access to digital skills courses, which are valid for school credit requirements. Courses cover 3D design, 3D printing, laser cutting. Course format can be of 3 different types: long (~20 hrs), short (~10 hrs), hackaton (course + competition): however for institutional constraints, access to different types of treatment is not randomized. For more details, see the attached Pre-Analysis Plan.

C: Students are only offered access to other activities, unrelated to digital skills covered by treatment courses. These placebo activities are observed.
Experimental Design Details
Randomization Method
Randomization done in office on a computer (R).
Details on the code used are given in the attached Pre-Analysis Plan.
Randomization Unit
Classes
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
60 classes (assuming an average of 25 pupils per class)
Sample size: planned number of observations
1500
Sample size (or number of clusters) by treatment arms
42 classes T (0.7*60)
18 classes C (0.3*60)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethics Committee, European University Institute
IRB Approval Date
2021-07-29
IRB Approval Number
20210602_Ferracane_etal
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials