Scientific Research Publishing

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, and Research Innovation ()

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...
Communications of the ACM

From Block-Based Programming to Vibe Coding

The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
The Conversation

AI doesn’t just help us think, it thinks instead of us: what this means for the process of learning

Deep in Book VII of Plato’s Republic, Socrates describes prisoners chained inside a cave, mistaking shadows cast on a wall by firelight for reality itself. They name the shadows, debate them and ...
qualitysafety.bmj

Thinking and organising in systems: reframing the long problem of learning from incidents

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be ...
TechSpot

The humble PDF is becoming a problem for AI

Looking ahead: Three decades after Adobe introduced the Portable Document Format – a design intended to preserve the appearance of printed pages across devices – PDFs are facing pressure from a ...
Educational Technology and Mobile Learning

Game-based Learning Simply Explained

As part of my Simply Explained series, I’ve been covering a range of student-centered instructional approaches, from project-based learning to experiential and inquiry-based learning. Today, I cover ...
GitHub

iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning

Yifan Guo, Zhongqiang Ren, Chen Wang. "iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), ...
Edutopia

Problem-Based Learning and Future-Ready Skills

Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Educational Technology and Mobile Learning

Inquiry-based Learning Simply Explained

Inquiry-based learning has been gaining more attention in classrooms across the world. Teachers often ask, What does it look like in practice? How does it differ from more traditional approaches? At ...
Harvard Business Review

How Gen AI Could Transform Learning and Development

Companies investing millions in generative AI may soon find themselves stalled—not by the technology’s limits, but by their people’s. As generative AI becomes more ubiquitous, a paradox has emerged: ...