#knowledge-hub

#knowledge-hub

Modern scientific societies are increasingly vulnerable due to their dependence on membership fees and journal subscriptions, which are being challenged by the rise of virtual networking and open-access publishing.

With the launch of Acrobat Spaces, Adobe aims to provide students with a comprehensive tool for creating study materials, competing with existing AI solutions like Google's NotebookLM and Goodnotes.

The first event is a roundtable on "Zhuangzi: Fate, Desires, Transformation" on April 6th at 9:00am Beijing time.

Librarians have been actively collaborating and talking about it almost every day, whether it's creating tutorials and digital learning objectives or thinking about the conversations to have with instructors. It can feel like cognitive dissonance to be actively working with AI on a regular basis and also saying we're constantly thinking about the harms and the biases.

If you've worked in a technical role in news for long enough, you likely remember when the "show your work" spirit was everywhere. Newsroom nerds shared code on GitHub, swapped tips on social media and unfurled long blogs guiding others on how to get things done. You might also have a vague sense that - like reaction GIFs, demotivational posters, and that guy who sang "Chocolate Rain" - you're seeing less of it these days.

Within a couple of years of ChatGPT coming out, I had come to rely on the artificial-intelligence tool, for my work as a professor of plant sciences at the University of Cologne in Germany. Having signed up for OpenAI's subscription plan, ChatGPT Plus, I used it as an assistant every day - to write e-mails, draft course descriptions, structure grant applications, revise publications, prepare lectures, create exams and analyse student responses, and even as an interactive tool as part of my teaching.

Bias risks: AI can amplify inequalities, like mislabeling non-native English writing as AI-generated. Privacy concerns: Schools face rising cyberattacks, and data misuse risks are high. Accountability: Human oversight is crucial to prevent over-reliance on AI.

That was the most profound moment for me. Students were walking by, stopping and going, 'What's this?' and I would watch them texting their friends to come down from the upper floors to see the performance. That was an experience I don't think these students would have had otherwise because they were in the library.

Collective learning is how a group or system creates, improves, and keeps knowledge. This knowledge lasts beyond any one person or cohort. That is the most practical collective learning definition, because it shifts the focus away from individuals and toward the learning system itself.

This is a striking decision at a moment when public confidence in higher education is eroding. It is also puzzling because rigorous research and evaluation have demonstrated, over and over, the value of the work of centers for teaching and learning, including positive impacts on student learning outcomes, institutional effectiveness and faculty development.

The org revealed the new partnerships in a post celebrating its 25th birthday, and which points out it is among the world's ten most-visited websites, and the only one to be run by a nonprofit. The post notes that 250,000 editors work on at least one Wikipedia article each month, and that editors make 324 changes each minute as they contribute to the 65 million-plus articles the site contains. 1.5 billion unique devices reach Wikipedia each month.

As part of Wikipedia's 25th anniversary, parent company Wikimedia a slew of partnerships with AI-focused companies like Amazon, Meta, Perplexity, Microsoft and others. The deals are meant to alleviate some of the cost associated with AI chatbots accessing Wikipedia content in enormous volumes by giving the tech companies streamlined access. As noted by , the timeline on these deals is a little squirrely.