AI tutors vs. tenacious myths
Evidence from personalised dialogue interventions in education
Bibliographic Data
| ID | 21563995 |
|---|---|
| Authors | Brooklyn J Corbett (0000-0002-1727-4097, The University of Queensland, corresponding author), Jason M Tangen (0000-0002-0649-2566, The University of Queensland) |
| Year | 2026 |
| Volume | 175 |
| Pages | 108828 |
| Publication date | 2026-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computers in Human Behavior (JOURNAL) |
| Journal identifiers | ISSN: 0747-5632 • E-ISSN: 1873-7692 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.chb.2025.108828 |
| OpenAlex | W4415299750 |
| Language | EN |
| Citations received | 1 |
| References cited | 62 |
Misconceptions in psychology and education persist despite clear contradictory evidence, resisting traditional correction methods. This study investigated whether personalised AI dialogue could effectively correct these stubborn beliefs. In a preregistered experiment (N = 375), participants holding strong psychology misconceptions engaged in one of three interventions: (1) personalised Misconception AI Dialogue targeting their specific misconception, (2) generic Textbook-style Refutation, or (3) Neutral AI Dialogue (control). Results showed that personalised Misconception AI Dialogue produced significantly larger immediate belief reductions compared to both Textbook Refutation and Neutral AI Dialogue. This advantage persisted at 10-day follow-up but diminished by 2 months, where the Misconception AI Dialogue and Textbook Refutation conditions converged while both remained superior to control. Both AI conditions generated significantly higher engagement and confidence than Textbook Refutation reading, demonstrating the motivational benefits of conversational interaction. These findings demonstrate that AI Dialogue can accelerate initial belief correction through personalised, interactive engagement that disrupts the cognitive processes maintaining misconceptions. However, the convergence of effects over time suggests brief interventions require reinforcement for lasting change. Future applications should integrate AI tutoring into structured educational programs with spaced reinforcement to sustain the initial advantages of personalised dialogue. • Personalised AI dialogue outperforms textbooks at correcting psychology myths • Initial advantages of AI dialogue diminished but persisted at 2 months • AI dialogues generate higher engagement and confidence than textbook reading • Correcting a specific misconception does not generalise to other unrelated myths
Cognition · Mythology · Psychological intervention · Reinforcement · Reinforcement learning · Intelligent Tutoring Systems and Adaptive Learning · Online Learning and Analytics · Topic Modeling
Debunking
Durably reducing conspiracy beliefs through dialogues with AI
Active‐Constructive‐Interactive
Effects of Feedback in a Computer-Based Learning Environment on Students’ Learning Outcomes
Explicit warnings reduce but do not eliminate the continued influence of misinformation
Learning from human tutoring
Intuition, reason, and metacognition
Neuroscience and education
Epistemic beliefs’ role in promoting misperceptions and conspiracist ideation
Refutation Text in Science Education
The Differential Impact of Abstract vs. Concrete Information on Decisions 1
Neuromyths in Education
Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom
Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math
Effectiveness of Intelligent Tutoring Systems
The Relative Effectiveness of Human Tutoring, Intelligent Tutoring Systems, and Other Tutoring Systems
Accommodation of a scientific conception
Uniting the Tribes of Fluency to Form a Metacognitive Nation
Active learning increases student performance in science, engineering, and mathematics
Confirmation Bias
Focus on Formative Feedback
Dual-Process Theories of Higher Cognition
Personalized refutation texts best stimulate teachers' conceptual change about multimedia learning
Lazy, not biased
The evidence for motivated reasoning in climate change preference formation
American Conspiracy Theories
Dead and Alive
Combining Anecdotal and Statistical Evidence in Real-Life Discourse
Promoting Conceptual Change in Science
Large Language Models Can Argue in Convincing Ways About Politics, But Humans Dislike AI Authors
The 2 Sigma Problem
The nature of belief systems in mass publics (1964)
Belief in Conspiracy Theories
When Corrections Fail
Motivated Skepticism in the Evaluation of Political Beliefs
On the relative independence of thinking biases and cognitive ability
The Power of Feedback
On the cognitive conflict as an instructional strategy for conceptual change
Learning Styles
The effectiveness of short-format refutational fact-checks
The case for motivated reasoning
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |