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From Analysis to Evaluation: Leveraging AI in the ADDIE Approach

Infopro Learning

The ADDIE (Analyze, Design, Develop, Implement, and Evaluate) model, a framework for creating effective learning programs, has been a staple of instructional design for nearly five decades. AI-powered chatbots such as ChatGPT can offer immediate and tailored guidance to learners by evaluating their progress and achievements.

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Custom eLearning Solutions for a Post Covid19 Workforce

Infopro Learning

Integrating regularly scheduled evaluations of your eLearning programs can help your business keep up with any changes that may occur. Analytics can help improve your training programs by bringing useful learner patterns or course issues to light. This improves training quality and ensures that issues are resolved quickly.

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Learners as learning evaluators

Clark Quinn

So here are some thoughts on learners as learning evaluators. One alternative, occasionally seen, is to have the learner evaluate their response. There are positive benefits to this, as it gets learners to become self-evaluators. I think we can have learners as learning evaluators, if we support the process appropriately.

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Evaluating The Credibility Of Online Law Schools: Are You Compromising Your Education?

eLearning Industry

This article explores issues around evaluating the credibility of online law schools, highlighting the importance of ABA accreditation and addressing the evolving acceptance of online legal education. This post was first published on eLearning Industry.

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Developing a Results Driven Curriculum

A well-designed learning curriculum develops and nurtures skills needed to achieve organizational and business goals with the most effective and engaging set of experiences. This ebook outlines 5 critical steps to develop learning solutions that will help you achieve the most ambitious objectives.

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Learners as learning evaluators

Upside Learning

So here are some thoughts on learners as learning evaluators. One alternative, occasionally seen, is to have the learner evaluate their own response. There are positive benefits to this, as it gets learners to become self-evaluators. I think we can have learners as learning evaluators, if we support the process appropriately.

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The Pesky Challenge of Evaluating AI Outputs

Usable Learning

Image source: Microsoft Office Stock Image Library One of the things that has bothered me since the beginning of the AI conversation is that most of the discussions of using AI or LLM outputs contains some phrase to the importance of “evaluating the output to make sure it’s correct” or something along those lines.

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