70/100

Moderate evidence

Meta-analysis finds AI tools boost learners' confidence, most when they tutor

Study title: The Impact of Generative AI on Self-Efficacy: Evidence From a Meta-Analysis

Evidence type
Systematic review or meta-analysis
Sources
1 sourcePeer-reviewed
Published
2 min read

Study title: The Impact of Generative AI on Self-Efficacy: Evidence From a Meta-Analysis

A meta-analysis of experimental and quasi-experimental research found that using generative AI tools during learning improved learners' self-efficacy, their belief in their own ability to learn, with a moderate effect size. The analysis pooled 84 independent effects from studies published between November 2022 and February 2026.

Read the study abstract

Generative artificial intelligence (genAI) tools such as ChatGPT are increasingly used in education. While many studies have examined how genAI tools affect learning, we know less about how genAI tools influence motivational factors such as learners’ self-efficacy, despite the central role self-efficacy plays in motivation and learning. We conducted a meta-analysis of experimental and quasi-experimental research to examine the effect of genAI tools on learners’ self-efficacy. Studies published between November 2…

The Impact of Generative AI on Self-Efficacy: Evidence From a Meta-Analysis
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The gain

A meta-analysis of 84 independent effects from experimental and quasi-experimental studies found that using generative AI during learning raised learners' self-efficacy by a moderate amount, with tutor-style use producing larger gains.

In brief

The size of the benefit depended on how the AI was used. Tutor-style implementations that guided students' learning produced larger improvements than uses where the AI only gave feedback, answered questions or replaced learner work.

Longer interventions produced stronger improvements than brief interactions. Effects did not differ across academic domains or learner age groups, which suggests the way AI is built into instruction matters more than the subject or the age of the students.

Main points

  1. The meta-analysis covered experimental and quasi-experimental studies published between November 2022 and February 2026.
  2. It yielded 84 independent effects on learners' self-efficacy.
  3. Generative AI use during learning improved self-efficacy with a moderate effect size.
  4. Tutor-style AI that guided learning beat feedback-only, question-answering and work-replacing uses.
  5. Longer interventions produced stronger improvements than brief interactions.
  6. Gains did not differ across academic domains or learner age groups.

The full story

The researchers examined self-efficacy because it plays a central role in motivation and learning, yet most earlier work on generative AI in education looked at learning outcomes rather than motivation. They searched and screened studies systematically for experimental and quasi-experimental research on tools such as ChatGPT.

Moderator analyses showed the overall moderate gain hid differences by implementation. AI acting as a tutor that guided learning produced larger improvements than AI that only provided feedback, answered questions or replaced learner work.

The authors conclude that generative AI can support self-efficacy when used to scaffold learning and encourage active engagement, and that how it is integrated into instruction matters for designing AI-supported learning environments.

Sources

1 on file
  1. Peer-reviewed2026-09-16

Talk it over

Four questions to start on
Who gets this benefit, and who was left out of the study or story?

Start with a question

Meta-analysis finds AI tools boost learners' confidence, most when they tutorhttps://truvace.com/item/the-impact-of-generative-ai-on-self-efficacy-evidence-from-a-meta-analysis

  1. Who gets this benefit, and who was left out of the study or story?

    The gain A meta-analysis of 84 independent effects from experimental and quasi-experimental studies found that using generative AI during learning raised learners' self-efficacy by a moderate amount, with tutor-style use producing larger gains.

    Answer in the thread
  2. How do we know? What can this kind of evidence show, and what can’t it?

    The evidence This rests on a systematic review or meta-analysis, from Journal of Educational Computing Research.

    Answer in the thread
  3. What does it leave open? What else would you want to know before acting on it?

    Answer in the thread
  4. Have you seen AI used this way where you study, work or live? Did it go the same way?

    Answer in the thread

The questions are the same on every record. The details under them are taken from this record as written.

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