"AI Agents Can Now Navigate and Complete LMS Tasks"
Abstract: Autonomous artificial intelligence (AI) agents can now log into a learning management
system, read course materials, and complete unproctored, asynchronous assessed work end-to-end
with no student involvement. We document that capability and trace its consequences for assessment
validity. Three demonstrations on a live undergraduate course supply the evidence: two quiz
completions, one in approximately 12 minutes, one in under 5, and a third in which the agent
fabricated credible personal reflection for a discussion board. The wider public record includes at least
15 documented agent runs across three platforms and seven tools. We apply Kane's argument-based
validity framework: agent completion removes the attribution on which every inference in Kane's chain
depends. Everything downstream, from course grades to the evidence chains behind program review
and accreditation, rests on support that is no longer there. The failure concerns validity rather than
integrity: an institution can punish misconduct and still lack grounds for the scores it reports. Collective
accreditor guidance addresses institutional uses of AI in evaluation and does not yet reach the agentic
case. Audience data from the underlying conference session show attendees already recognizing both
the vulnerability and the gap in institutional guidance. Polled attendees most often named online
quizzes as agent-completable, with discussion-based work close behind. Majorities in both listings
were working without settled written guidance. The response defended here is design rather than
detection: four principles for verified human presence, low-effort changes faculty can adopt now, and
the assurance levers assessment professionals already operate.
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Benedict, Mary Ellen; McClough, David; and Hoag, John (2024) "STILL WAITING FOR THE SHOE TO DROP? AN EMPIRICAL ANALYSIS OF PRIVATE COLLEGE AND UNIVERSITY FINANCIAL STRESS,"
This study uses the 2010, 2017, and 2018 data of the Integrated Postsecondary Education Data System to estimate which institutional factors increase the probability that a private, nonprofit, higher education institution will face financial stress. The study first estimates enrollment and net tuition with a reduced form market model. Those estimates, endowment dollars, and college rankings are used to identify institutions that are financially stressed. Our assessment indicates that approximately 11.5 percent of the sample institutions are stressed, suggesting that the earlier predictions of a 25-50 percent reduction are overestimated, at least for private-nonprofit institutions. The study next employs a probit model to identify those institutional characteristics that contribute to financial stress. Our results demonstrate that some common tactics to relieve such stress, such as online delivery, putting emphasis on admissions without consideration of graduation rates, or being in a more renowned athletic association, may not be helpful in reducing financial stress.
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Reduced urban air pollution and mortality from the transition to new energy vehicles in China | Nature Health
By 2023, NEVs led to reductions of 23.80% in particles with a diameter of 2.5 μm or less (8.97 µg m−3) and 30.67% in carbon monoxide (0.26 mg m−3), resulting in the prevention of approximately 262,000 non-accidental deaths and 75,000 all-cause deaths, respectively.
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