Abstract: More accurate forecasts may not necessarily lead to better decision-making. To address this challenge, decision-focused learning (DFL) has been proposed as a new branch of machine learning ...

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Abstract: This study explores the development of AI-powered adaptive systems for English language learning, focusing on leveraging Recurrent Neural Networks (RNNs) and Natural Language Processing (NLP ...

It’s the best way to anticipate the many secondary effects of change in an interconnected world. by Tima Bansal and Julian Birkinshaw Business has made huge strides in advancing economic and social ...

Learning results from what the student does and thinks and only from what the student does and thinks. The teacher can advance learning only by influencing what the student does to learn. (Lovett et ...

A notable benefit of using an LMS is the reduction in training costs. Classroom-based training usually needs physical materials, travel expenses, and trainers, whereas an LMS saves most of these costs ...

Summary: The brain uses two separate dopamine-based learning systems: one for evaluating outcomes and another for reinforcing repeated actions. Known as reward ...

The upgraded system to manage employee training launches May 13 and will allow for a smoother user experience Starting May 13, Duke staff and faculty who log onto the Duke Learning Management System ...

Reinforcement learning (RL) has become central to advancing Large Language Models (LLMs), empowering them with improved reasoning capabilities necessary for complex tasks. However, the research ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...