e-learning-ukr

Digital platforms are routinely used in universities to support teaching and learning, but they can also challenge academic freedom and intellectual property (IP) rights. In our new report for Education International, ‘Behind the platforms: Safeguarding intellectual property rights and academic freedom in Higher Education’
, we reviewed the landscape of edtech platforms used in higher education (HE) to facilitate learning and assessment, closely examining their terms of use and privacy policies to make sense of the challenges they pose to academic freedom and intellectual property.

In the largest survey of its kind, 2,778 researchers who had published in top-tier artificial intelligence (AI) venues gave predictions on the pace of AI progress and the nature and impacts of advanced AI systems The aggregate forecasts give at least a 50% chance of AI systems achieving several milestones by 2028, including autonomously constructing a payment processing site from scratch, creating a song indistinguishable from a new song by a popular musician, and autonomously downloading and fine-tuning a large language model. If science continues undisrupted, the chance of unaided machines outperforming humans in every possible task was estimated at 10% by 2027, and 50% by 2047. The latter estimate is 13 years earlier than that reached in a similar survey we conducted only one year earlier [Grace et al., 2022]. However, the chance of all human occupations becoming fully automatable was forecast to reach 10% by 2037, and 50% as late as 2116 (compared to 2164 in the 2022 survey).
Most respondents expressed substantial uncertainty about the long-term value of AI progress: While 68.3% thought good outcomes from superhuman AI are more likely than bad, of these net optimists 48% gave at least a 5% chance of extremely bad outcomes such as human extinction, and 59% of net pessimists gave 5% or more to extremely good outcomes. Between 38% and 51% of respondents gave at least a 10% chance to advanced AI leading to outcomes as bad as human extinction. More than half suggested that "substantial" or "extreme" concern is warranted about six different AI-related scenarios, including misinformation, authoritarian control, and inequality. There was disagreement about whether faster or slower AI progress would be better for the future of humanity. However, there was broad agreement that research aimed at minimizing potential risks from AI systems ought to be prioritized more.

In 2020, UF CJC Online developed a comprehensive course design strategy to elevate its online courses, a mission mandated by the State University System of Florida’s 2025 Strategic Plan for Online Education. 

There is one shift that will radically improve asynchronous discussions: a structured conversation system (Coker, 2022). A structured conversation system (SCS) is as easy as 1-2-3.

AI tutoring is poised to be one of the most impactful and ethical uses of AI in education. Sizzle may be a cost-effective way for AI tutoring to reach every

By assessing data maturity, establishing data governance, creating centralised data teams and adopting a dynamic data reference model, institutions can remain agile in an evolving technological landscape, writes Nick Chaviano

Explore how Artificial Intelligence is revolutionizing eLearning, by enhancing personalized learning and optimizing content delivery.

I saw this tweet yesterday from @deepfates, and I am very on board with this: Watching in real time as “slop” becomes a term of art. the way that “spam” …

With the precipitous changes of the platform formerly known as Twitter, brought on by the change of ownership in late 2022, many networked educators sought, and continue to seek, new digital spaces to continue fostering and developing their digital practice. The authors of this article had all been actively networked on Twitter, and wanted to explore these changes in their professional worlds. As we sought out these spaces we critically began to interrogate our own practices on this platform to gain a deeper understanding of our practice going forward. We’ve approached this exploration through three vectors: an examination of the terms we use to describe movement from platform to platform, digital identity formation and disruption, and building human connection in digital spaces. The findings from our exploration yielded the following conclusions: (1) With regard to metaphors of movement (i.e., “migration”) we leave space open as to which metaphor to use as no metaphor is a perfect fit to explain the complexity of this phenomenon. (2) Digital identity/ies are multifaceted and sometimes place-specific, but some networked affordances seemed to encourage an ever-evolving digital identity more than other spaces. (3) Finally, digital spaces afford us the ability to carve out our own communities from the wider academic community, in the process developing a more owned and voiced identity. However as social media platforms are fleeting, those connections – and identities – are in danger of getting co-opted or deleted as platforms rise and fall.

Educators across the world use Perplexity to find trusted answers to their infinite questions. Join our free 7-day AI Search for Educators course.

Data literacy skills are increasingly important in the modern workplace. Ermal Haranlli, Nedelin Velikov and Kehara Warnakulasuriya offer their advice on readying your students for the future

Another AI in Education tool, EduEase uses AI to take any PDF and create a quiz. Best of all, you can give your students a link to take it online.