《Fostering Curiosity and Creativity through AI-Generated Positive Feedbacks: Field Experimental Evidence from China》

Last registered on July 29, 2024
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Pre-Trial

Trial Information

General Information

Title
《Fostering Curiosity and Creativity through AI-Generated Positive Feedbacks: Field Experimental Evidence from China》
RCT ID
AEARCTR-0014019
Initial registration date
July 21, 2024

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
July 29, 2024, 4:32 PM EDT

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

Locations

Country
China
Region

Primary Investigator

Name
Juanjuan Meng
Affiliation
Peking University
Contact Primary Investigator

Other Primary Investigator(s)

PI Name
Yazhen Gong
PI Affiliation
Renmin University of China
PI Name
Yao Tang
PI Affiliation
Peking University
PI Name
Hui Wang
PI Affiliation
Peking University
PI Name
Huaqing Huang
PI Affiliation
Peking University

Additional Trial Information

Status
In development
Start date
2024-07-23
End date
2024-08-20
Keywords
Behavior, Education
Additional Keywords
Artificial Intelligence, AI disclosure effect
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Curiosity and creativity are crucial for the accumulation of human capital and economic development, especially in the era of AI. At the same time, the integration of AI and education has become a significant driving force for educational reform. In this study, we aim to explore the following: Whether AI-generated praise and encouragement targeting students' curiosity in homework feedback is effective, that is, whether it can enhance students' curiosity and creativity? Whether students' responses to homework feedback differ based on the disclosure of the AI's identity? Whether there are differences in the effectiveness of AI-generated text-based and voice-based homework feedback?
External Link(s)

Registration Citation

Citation
Gong, Yazhen et al. 2024. "《Fostering Curiosity and Creativity through AI-Generated Positive Feedbacks: Field Experimental Evidence from China》." AEA RCT Registry. July 29. https://doi.org/10.1257/rct.14019-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Based on the generation and delivery methods of homework feedback, the participants will be divided into the following four groups:
1. text feedback without AI disclosure: Send students AI-generated text feedback based on their answers, without disclosing the AI identity.
2. text feedback with AI disclosure: Send students AI-generated text feedback based on their answers, disclosing the AI identity.
3. voice feedback without AI disclosure: Send students AI-generated voice feedback based on their answers, without disclosing the AI identity.
4. voice feedback without AI disclosure: Send students AI-generated voice feedback based on their answers, disclosing the AI identity.
Intervention Start Date
2024-07-23
Intervention End Date
2024-08-15

Primary Outcomes

Primary Outcomes (end points)
the students’ grades for each assignment
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
survey measures of creativity and curiosity
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Context: Online Microeconomics course
Groups:
text feedback without AI disclosure; text feedback with AI disclosure; voice feedback without AI disclosure; voice feedback without AI disclosure.
Platform and Organization:
We will establish four course groups according to the above four experimental groups. We will regularly send course videos, release homework, collect students’ answers in the online group, and use AI to generate homework feedback, and then send homework feedback one-on-on to students.
Experimental Design Details
Randomization Method
randomization done in office by a computer
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
220 students
Sample size: planned number of observations
220 students
Sample size (or number of clusters) by treatment arms
55 students each treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Guanghua School of Management, Peking University
IRB Approval Date
2024-07-19
IRB Approval Number
#2024-26
Analysis Plan

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