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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.
As a trainer and facilitator who works with nonprofit organizations and staffers, you have to be obsessed with learningtheory to design and deliver effective instruction, have productive meetings, or embark on your own self-directed learning path. Training Design' Here’s some examples.
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 instructionaldesign or training process. Use LearningTheory.
In your organization, this may look like negative attitudes toward evaluation, poor research designs and collecting data but not using the data. Work together to learn about evaluation, design studies, strengthen each other and celebrate successes. The root problem here is poor evaluation capacity. Implement ECB strategies.
But to do this effectively, businesses need to leverage the power of Learning Management Systems (LMS) that have the capacity to manage content and instructionaldesign – and help in carving out personalized learning paths for the learners. Learn how to leverage virtual reality to engage millennia’s.
But to do this effectively, businesses need to leverage the power of Learning Management Systems (LMS) that have the capacity to manage content and instructionaldesign – and help in carving out personalized learning paths for the learners. Learn how to leverage virtual reality to engage millennia’s.
But to do this effectively, businesses need to leverage the power of Learning Management Systems (LMS) that have the capacity to manage content and instructionaldesign – and help in carving out personalized learning paths for the learners. Learn how to leverage virtual reality to engage millennia’s.
Concretely, this research agenda involves answering questions such as: What is the right method for expressing goals and instructions to AI systems? Which specification learning algorithms are guaranteed to converge to a good specification? For example, suppose that we want to design a chess-playing AI.
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.
More transparent architectures: It may be possible to design new language models that are much more interpretable than the current mainstream. display inputs on which LLMs take undesirable/misaligned actions without being instructed to do so. Kumar et al. , OpenAI , Yuan et al. Jrviniemi and Hubinger ( 4) , and Meinke et al.
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