Uncritical but Overconfident? How Learners Engage with AI-Generated Images of Scientists

This publication has 11 references indexed in Scilit:

• Perspectives on AI literacy in Middle School Classrooms: An Integrative Review
  Postdigital Science and Education, 2025
• AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students' AI self-efficacy
  Computers and Education: Artificial Intelligence, 2024
• Gender bias in generative artificial intelligence text-to-image depiction of medical students
  Health Education Journal, 2024
• Influence of believed AI involvement on the perception of digital medical advice
  Nature Medicine, 2024
• The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review
  Smart Learning Environments, 2024
• The invisible women: uncovering gender bias in AI-generated images of professionals
  Feminist Media Studies, 2023
• What do university students know about Artificial Intelligence? Development and validation of an AI literacy test
  Computers and Education: Artificial Intelligence, 2023
• Exploring the state of science stereotypes: Systematic review and meta‐analysis of the Draw‐A‐Scientist Checklist
  School Science and Mathematics, 2020
• The Role of Prototype Matching in Science Pursuits: Perceptions of Scientists That Are Inaccurate and Diverge From Self-Perceptions Predict Reduced Interest in a Science Career
  Personality and Social Psychology Bulletin, 2018
• Unskilled and unaware of it: How difficulties in recognizing one's own incompetence lead to inflated self-assessments.
  Journal of Personality and Social Psychology, 1999