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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

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. Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use by Michael Quinn Patton.

Skills 106
professionals

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Learning and Development Trends We Will Keep an Eye on in 2024

Gyrus

Immersive learning Using Virtual Reality (VR) to create real-life simulations and an interactive environment is an excellent way to engage learners. Immersive learning also utilizes spatial design, advanced learning theories, and advanced data science techniques to make learning more fun and interactive.

Trend 52
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Learning and Development Trends We Will Keep an Eye on in 2024

Gyrus

Immersive learning Using Virtual Reality (VR) to create real-life simulations and an interactive environment is an excellent way to engage learners. Immersive learning also utilizes spatial design, advanced learning theories, and advanced data science techniques to make learning more fun and interactive.

Trend 52
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Learning and Development Trends We Will Keep an Eye on in 2024

Gyrus

Immersive learning Using Virtual Reality (VR) to create real-life simulations and an interactive environment is an excellent way to engage learners. Immersive learning also utilizes spatial design, advanced learning theories, and advanced data science techniques to make learning more fun and interactive.

Trend 52
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Research directions Open Phil wants to fund in technical AI safety

The AI Alignment Forum

We think this adversarial style of evaluation and iteration is necessary to ensure an AI system has a low probability of catastrophic failure. Wed like to support more such evaluations, especially on scalable oversight protocols like AI debate. and Which rules are LLM agents happy to break, and which are they more committed to? .