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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. Internal: These theories take into account our minds and bodies.
Here are six tips that will help you deliver highly successful technology training workshops by using effective evaluation techniques. Use LearningTheory. I have written a lot about how it is important to understand how the brain works, how people learn by using learningtheories to guide the design of your workshops.
If you’re doing social media and you’re trying to be perfect, get over it – you won’t learn how to improve what you’re doing. I’ve been curating resources on training techniques and capacity building over at scoop.it The model balances content, learning design, and participants.
If you want to get results, you need to think about instructional design and learningtheory. And, there is no shortage of learningtheories and research. As someone who has been designing and delivering training for nonprofits over the past twenty years, the most exciting part is apply theory to your practice.
Published on February 20, 2025 11:54 PM GMT TLDR: We made substantial progress in 2024: We published a series of papers that verify key predictions of Singular LearningTheory (SLT) [ 1 , 2 , 3 , 4 , 5 , 6 ]. We scaled key SLT-derived techniques to models with billions of parameters, eliminating our main concerns around tractability.
The participants learn the foundations of choir singing, such as posture and breathing, vocal technique, and tone. They also learntheory, ear training, foreign language skills, and the study of music within a social context.
Through these research directions, we aim to develop robust safety techniques that mitigate risks from AIs before those risks emerge in real-world deployments. Jailbreaks and unintentional misalignment : New techniques for finding inputs that elicit competent, goal-directed behavior in LLM agents that the developers clearly tried to prevent.
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