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DR. STELLA LEE – CRYSTAL BALLING WITH LEARNNOVATORS

Learnnovators

Learning analytics – last but not the least, AI technologies are also used to analyze patterns, create models, and to predict learner behaviors and their performance outcomes. The goal of using learning analytics is to help us understand, optimize learning, and provide early interventions to learners. What is the future?

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Measuring the impact of corporate learning and development 

Attensi

Traditional methods of measuring L&D success, often designed to measure in-person training, do not adequately capture the effectiveness of remote learning initiatives. Indeed, AI fosters personalization, allowing L&D teams to enable customized learning experiences more efficiently than ever.

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My dinner with GPT-4 – The Q&A

eLearning 24-7

I asked quite a few, but for the post, I will not be providing additional insight (this will be published on my LinkedIn Group covering Generative AI, Learning and Training – you can sign up here ) on Monday. On the other hand, Generative AI also has the potential to enhance learning in the workforce.

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[from gminks] Social Learning Measurement : eLearning Technology

Tony Karrer

eLearning Technology Tony Karrers eLearning Blog on e-Learning Trends eLearning 2.0 And, I just saw a post Measuring Networked (or Social) Learning that discusses how we could go about measuring social learning. So heres another one on my thoughts on how to make collaborative learning work in organization.

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Working Out Loud: Using the Tools We Already Have

Learnnovators

The different elements of working out loud from sharing with purpose and leading with generosity to building relationships , engaging in visible work and learning are all achieved through thoughtful and generous use of the different tools. Sharing on Twitter encourages synthesizing the work in micro-chunks, reflection and collaboration.