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Summary

This study investigated artificial intelligence (AI) acceptance in education among students, teachers, and parents. Findings reveal that AI acceptance and trust significantly differ across various stakeholder groups and AI applications.

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Area of Science:

  • Educational Technology
  • Artificial Intelligence Ethics
  • Human-Computer Interaction

Background:

  • Artificial intelligence (AI) presents transformative potential in education, necessitating an investigation into its acceptance.
  • Concerns regarding data privacy, AI agency, transparency, explainability, and ethical deployment are critical barriers to AI adoption in educational settings.
  • Understanding multi-stakeholder perspectives (students, teachers, parents) is crucial for effective AI integration.

Purpose of the Study:

  • To explore the acceptability of diverse AI applications in education from the viewpoints of students, teachers, and parents.
  • To identify and analyze the key concerns and barriers influencing AI acceptance in educational contexts.
  • To assess how variations in AI agency, transparency, explainability, and privacy impact user perceptions and intentions.

Main Methods:

  • Employed a vignette methodology presenting four distinct AI scenarios with manipulated attributes (agency, transparency, explainability, privacy).
  • Collected data from 1198 participants, including students, teachers, and parents, through surveys assessing perceptions of AI utility, usefulness, justice, confidence, risk, and intention to use.
  • Utilized mediation analysis to examine the relationships between AI characteristics, user perceptions, and overall acceptance.

Main Results:

  • AI acceptance and trust demonstrated significant variability across different stakeholder groups (students, teachers, parents).
  • Perceptions of AI's global utility, individual usefulness, justice, confidence, and risk were influenced by the manipulated AI characteristics in the scenarios.
  • Intention to use AI varied significantly based on stakeholder group and the specific AI application presented.

Conclusions:

  • Stakeholder perspectives critically shape the acceptance of AI in education.
  • Addressing concerns related to AI agency, transparency, explainability, and data privacy is essential for fostering trust and adoption.
  • Tailoring AI applications and communication strategies to different educational stakeholders can enhance overall acceptability and effective implementation.