Hands-On Automation Learning Prepares Students for the Future

Kettering University developed a collaborative program between education and industry to prepare students for meaningful, high-impact careers.
IEEE

A Cooperative Multiagent Reinforcement Learning Method Based on Reward Decomposition for Scalable Agent Environments

Abstract: Cooperative multiagent reinforcement learning (MARL) is a promising approach for complex collaborative tasks. However, practical deployment remains challenging due to ambiguous credit ...

To teach in the time of ChatGPT is to know pain

I’ve been teaching college Earth science courses as a part-time faculty member for a long time now, all while juggling other ...
Edutopia

Making the Most of Learning Objectives

Asking students to unpack learning objectives with a quick routine helps them connect prior knowledge and feel more prepared ...

Audiobooks can help students learn new words—especially when paired with one-on-one instruction

Millions of students nationwide use text-supplemented audiobooks, learning tools that are thought to help those who struggle ...
The Lowell Sun

‘Growing career-connected learning’: Officials announce expansion of co-op education offerings at state universities

UMass Lowell has spent years steadily growing its cooperative education options for students to get real-world experience in ...
The Conversation

The Iran war has lessons to teach us about nuclear weapons – but we risk learning the wrong ones

Nuclear “non-proliferation” – preventing the spread of nuclear weapons beyond states that already have them – has been held up as the rationale for the US-Israeli war on Iran. In his statement ...
Hosted on MSN

Young investors learning lessons earlier: Dan Egan

Dan Egan, vice president of behavioral finance & investing at Betterment, joins Katie Greifeld, Scarlet Fu, and Eric Balchunas on "Bloomberg ETF IQ." They discuss ...
IEEE

Personalized Decision-Making Framework for Collaborative Lane Change and Speed Control Based on Deep Reinforcement Learning

Abstract: Autonomous driving (AD) is critically dependent on intelligent decision-making technology, which is the crucial ingredient in driving safety and overall vehicle performance. And ...