| To leave a comment you must sign in. Please log in or create an ACM Account. Forgot your username or password? |
|
Create an ACM Account |
Understanding how effective interactions affects outcomes within a learning environment, as well as what these interactions look and sound like, is important in supporting students online.
As generative artificial intelligence (GenAI) tools become increasingly accessible, higher education institutions must address the challenge of maintaining academic integrity while preparing students for an AI-integrated future. Institutions that rely solely on AI-detection software risk fostering adversarial learning environments due to false positives and a punitive culture. Instead, a comprehensive approach that integrates AI literacy with institutional policy can foster ethical engagement with AI. Drawing on recent literature and best practices, this article examines the limitations of detection tools.
As demand for online courses continues to rise in higher education, many institutions struggle to develop, promote, and sustain high-quality online programs, in part due to limited capacity. In response, Online Program Managers (OPMs), private companies that collaborate with colleges and universities to create and provide online offerings, have become increasingly prominent over the past 15 years. These partnerships allow institutions to scale online courses and programs without having to contribute significant upfront investments. However, there remains a general lack of awareness about what OPMs are, the scope of their services, and the trade-offs involved. This article aims to shed light on the advantages and potential drawbacks of OPM partnerships.
Receive email updates
from eLearn Magazine
An ACM Publication
