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Six Tips for Evaluating Your Nonprofit Training Session

Beth's Blog: How Nonprofits Can Use Social Media

Using the ADDIE for designing your workshop, you arrive at the “E” or evaluation. ” While a participant survey is an important piece of your evaluation, it is critical to incorporate a holistic reflection of your workshop. There are two different methods to evaluate your training. Use Learning Theory.

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Strengthening program evaluation in your nonprofit

ASU Lodestar Center

This call spurred the increasing demand for program evaluation. In your organization, this may look like negative attitudes toward evaluation, poor research designs and collecting data but not using the data. The root problem here is poor evaluation capacity. The root problem here is poor evaluation capacity.

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Six Books About Skills You Need To Succeed in A Networked World

Beth's Blog: How Nonprofits Can Use Social Media

This book is filled with great tips on designing engaging learning experiences that help your participants connect, inspire, and engage. The model balances content, learning design, and participants. The ideas, tips, and tricks are grounded in adult learning theory, but the book is very practical.

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How To Think Like An Instructional Designer for Your Nonprofit Trainings

Beth's Blog: How Nonprofits Can Use Social Media

Designing and delivering a training to a nonprofit audience is not about extreme content delivery or putting together a PowerPoint and answering questions. If you want to get results, you need to think about instructional design and learning theory. And, there is no shortage of learning theories and research.

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Google at ICLR 2023

Google Research AI blog

If you’re registered for ICLR 2023, we hope you’ll visit the Google booth to learn more about the exciting work we’re doing across topics spanning representation and reinforcement learning, theory and optimization, social impact, safety and privacy, and applications from generative AI to speech and robotics.

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Research directions Open Phil wants to fund in technical AI safety

The AI Alignment Forum

This guide provides an opinionated overview of recent work and open problems across areas like adversarial testing, model transparency, and theoretical approaches to AI alignment. We think this adversarial style of evaluation and iteration is necessary to ensure an AI system has a low probability of catastrophic failure.

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The Theoretical Reward Learning Research Agenda: Introduction and Motivation

The AI Alignment Forum

Some relevant criteria for evaluating a specification language include: How expressive is the language? In general, there are many ways to get an AI system to do what we want for example, we can use supervised learning, imitation learning, prompting, or reward maximisation. This is called a behavioural model.