Beth's Blog: How Nonprofits Can Use Social Media

FEBRUARY 11, 2014

As a trainer and facilitator who works with nonprofit organizations and staffers, you have to be obsessed with learning theory to design and deliver effective instruction, have productive meetings, or embark on your own self-directed learning path. Training Design' Here’s some examples.

Learning 139

Learning Learning Theory Nonprofit Brain 139

Beth's Blog: How Nonprofits Can Use Social Media

JANUARY 27, 2014

I’ll be sharing my best tips and secrets for designing and delivering training for nonprofit professionals that get results. And, if you are attending NTEN’s Nonprofit Technology in March, join me, John Kenyon, Andrea Barry, and Cindy Leonard for a session on designing effective technology training.

Instructional Design 113

Instructional Design Instructional Instruction Training 113

Beth's Blog: How Nonprofits Can Use Social Media

FEBRUARY 18, 2014

I’m co-facilitating a session on Nonprofit Training Design and Delivery with colleagues John Kenyon, Andrea Berry, and Cindy Leonard at the NTEN Nonprofit Technology Conference on Friday March 14th at 10:30 am! Evaluation is one of my favorite parts of the instructional design or training process. Use Learning Theory.

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Evaluation Training Train Tips 131

Beth's Blog: How Nonprofits Can Use Social Media

DECEMBER 23, 2011

Brilliance by Design by Vicki Halsey. A lot of work I do around social media is training — good training requires good design – not just content. The model balances content, learning design, and participants. and discovered this book in the stream.

Skills 106

Skills Network Social Media Evaluation 106

The AI Alignment Forum

FEBRUARY 28, 2025

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. In some cases we can also use more exotic methods, such as direct manipulation of latent activation vectors in trained models.

Research 40

Research Learning Method Policy 40

Stanford AI Lab Blog

DECEMBER 6, 2021

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. Smith, Scott W.

Contact 40

Contact Learning Theory Authoring Offline 40

Stanford AI Lab Blog

APRIL 25, 2022

Manning, Jure Leskovec Contact : xikunz2@cs.stanford.edu Award nominations: Spotlight Links: Paper | Website Keywords : knowledge graph, question answering, language model, commonsense reasoning, graph neural networks, biomedical qa Fast Model Editing at Scale Authors : Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D.

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Contact Award Authoring Language 40