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临床试验/NCT07316647
NCT07316647已完成不适用

Using Conversational AI to Teach Growth Mindset Skills to Youths in India

Harvard University1 个研究点 分布在 1 个国家目标入组 383 人开始时间: 2025年11月3日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
已完成
入组人数
383
试验地点
1
主要终点
Change in Behavior and Feelings Survey - Internalizing Subscale (full sample)

研究概览

简要总结

This study aims to test whether a brief digital intervention using conversational AI can improve mental health outcomes among school-aged youth (grades 6-8) in India, where most young people with mental health issues do not receive treatment. The intervention teaches "growth mindset", the belief that skills and abilities can improve with effort, via a 45-minute interactive conversation with an AI chatbot (spread across two class periods). A randomized controlled trial with approximately 430 students at a private, English-medium school in Bangalore will evaluate whether interacting with the chatbot can reduce symptoms of anxiety and depression while enhancing growth mindset beliefs. Half the students will receive the full intervention at baseline, while the other half (control group) will complete a usual school assignment; after 7 weeks, the control group will receive a shortened (15-minute) version of the growth mindset intervention. Participants will complete 10-minute surveys at baseline, 3 weeks, and 7 weeks, after which all students will receive a printed booklet with all the information from the chatbot. This study represents one of the first randomized controlled trials evaluating conversational AI as a brief digital intervention for youth mental health.

详细描述

Globally, 300 million youths have a diagnosable mental disorder and more reside in India than any other country. Yet, in India, where this study is based, most youths affected by mental health issues do not receive treatment. Symptoms are especially prevalent during high school, when many students show signs of depression and anxiety. Given myriad challenges in accessing mental healthcare, some have turned to conversational AIs such as ChatGPT and Claude for personalized support. However, there are few rigorous tests of whether such tools can improve mental health.

This study aims to bridge this gap by combining conversational AI with evidence-based intervention for youth mental health-specifically, a growth mindset intervention, which promotes the belief that abilities are not innate but can be improved with effort. It is well known that growth mindset interventions can improve academic performance. In addition, researchers have shown that brief, computer-guided growth mindset training can reduce symptoms of anxiety and depression that sustain 3-9 months post-intervention, and not only in the United States. However, until now, these interventions have been delivered via static, standardized websites that few people use.

The intervention considered is a 45-minute interactive lesson on growth mindset, embedded within a conversational AI. Similar to prior interventions, the content includes modules on understanding growth mindset, its basis in neuroplasticity, and roleplaying scenarios. Each module includes interactive discussions with the AI (e.g., "in your words, what is a growth mindset?", "in the above scenario, how could a growth mindset apply?")

The specific aim of the study is to test whether a brief, AI-enabled growth mindset intervention offers measurable benefits for school-aged youth in India. A randomized controlled trial with about 430 students (grades 6-8) will measure whether the AI-enabled training leads to changes in growth mindset beliefs and skills as well as symptoms of anxiety and depression, relative to a control group that receives a shortened intervention after 7 weeks. Brief, 10-minute questionnaires will be administered to all participants at baseline, 3 weeks, and 7 weeks. At the conclusion of the trial, all students will receive a printed booklet with content from the full intervention. The study will take place in an English-medium private school in Bangalore, India, which serves a diversity of students.

The growth mindset intervention may also benefit academic performance, and the school partner, at its discretion, may be able to integrate it into part of their standard curriculum following the completion of the study. However, the specific research question is whether the chatbot interaction yields measurable improvements in youth mental health. Given the preponderance of AI chatbots aiming to address various aspects of mental health, such measurement is as important as it is rare. This study will contribute to the growing evidence base on how technology can inform and support youth mental health.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Treatment
盲法
None

入排标准

性别
All
接受健康志愿者

入选标准

  • Youth in grades 6-8 at our partner school
  • Youth assents to participate and a parent/guardian provides passive consent (does not opt-out of participation)

排除标准

  • 未提供

研究组 & 干预措施

Growth mindset training

Experimental

Receives growth mindset training via 45-minute interaction with conversational AI

干预措施: Growth mindset training using conversational AI (Behavioral)

Usual classroom activities

No Intervention

Performs usual classroom activities during the intervention period; receives delayed and shortened intervention at the conclusion of the study

结局指标

主要结局

Change in Behavior and Feelings Survey - Internalizing Subscale (full sample)

时间窗: Baseline, 3 weeks, 7 weeks

Trajectories of self-reported symptoms of anxiety and depression from the 6-item (each item rated on a 0-4 scale, with higher ratings indicating more symptoms) Internalizing Subscale of the Behavior and Feelings Survey. Total scores range from 0 to 24, with higher scores indicating more symptoms (BFS; Weisz et al., 2020).

Student Perceived Program Acceptability and Helpfulness

时间窗: Immediately post-intervention

Assessed via the Program Feedback Scale (Schleider et al., 2019). This scale consists of 7 items rated on a 1 to 5 scale, with higher scores indicating greater acceptability and helpfulness.

次要结局

  • Change in Behavior and Feelings Survey - Internalizing Subscale (elevated subsample)(Baseline, 3 weeks, 7 weeks)
  • Change in Growth Mindset Beliefs (full sample and elevated subsample)(Baseline, 3 weeks, 7 weeks)
  • Growth mindset reflections (intervention group)(3 weeks, 7 weeks)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

John Weisz

Henry Ford II Research Professor of the Social Sciences, Department of Psychology

Harvard University

研究点 (1)

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