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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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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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NTEN Is Hiring an Educational Program Manager

NTEN

The new Educational Program Manager will work directly to serve the NTEN community by harnessing adult learning theory and educational curriculum development to provide the training and resources you need to use technology to further your organization's mission and good work. > > Learn more and apply to join the NTEN Team!

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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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Stanford AI Lab Papers and Talks at NeurIPS 2021

Stanford AI Lab Blog

Kochenderfer Contact : philhc@stanford.edu Links: Paper Keywords : deep learning or neural networks, sparsity and feature selection, variational inference, (application) natural language and text processing Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Authors : Jeff Z.

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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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