Academic Integrity Culture Ethics 
eSchool News
DECEMBER 5, 2024
Educators can guide students to interrogate the reliability of AI outputs and discuss the ethical implications of biased algorithms. Define when and how it’s appropriate, fostering a culture of integrity. Integrate AI in curriculum : Incorporate AI-related tasks to teach content and digital literacy simultaneously.
eSchool News
APRIL 23, 2024
Online archives such as the Library of Congress’s Digital Collections and the National Archives offer students the opportunity to explore primary sources firsthand, gaining insights into historical events and cultural phenomena that would otherwise be inaccessible.
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Faculty Focus
JULY 18, 2023
The most prominent concern is the impact on academic integrity. Issues like plagiarism, cheating (on tests or in admission scandals), and integrity have been the center of ethical conversations for many years. For the most part, these concerns are rooted in a cultural orientation that frames knowledge as property.
Faculty Focus
JULY 18, 2023
The most prominent concern is the impact on academic integrity. Issues like plagiarism, cheating (on tests or in admission scandals), and integrity have been the center of ethical conversations for many years. For the most part, these concerns are rooted in a cultural orientation that frames knowledge as property.
Edsurge
JULY 27, 2020
Maintaining academic integrity is important, but eradicating cheating is near impossible with how quickly technology moves, said Tricia Bertram Gallant, academic integrity director at the University of California, San Diego, and board emeritus at the International Center for Academic Integrity.
Ask a Tech Teacher
APRIL 30, 2024
Academic Integrity Issues Writing with AI raises complicated academic integrity problems. Educational institutions must have AI policies for scholarly writing to teach students the value of academic integrity.
Faculty Focus
JANUARY 21, 2025
Hutson (2024) identifies the challenges of AI in education as the blurred boundaries between human and AI-generated content, the inadequacy of traditional plagiarism definitions, and the need to balance the ethical integration of AI with the preservation of critical thinking, originality, and intellectual property standards.
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