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Machine Learning Applications in E-Learning: Bias, Risks and Mitigation

CLO Magazine

The following list examines what could potentially go wrong in applying machine learning for online learning: Prediction could be too prescriptive : Adaptive learning algorithms make assumptions about learning needs and provide learning recommendations and assignments accordingly.

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Cammy Beans Learning Visions: My Job Description

Learning Visions

Cammy Beans Learning Visions Musings on eLearning, instructional design and other training stuff. Thursday, May 31, 2007 My Job Description I work at a small e-Learning company, which means I play lots of different roles. hmm, that does not sound very positive. My title is "E-learning consultant".

Job 113
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The Power of Personalization: Boosting Learners’ Engagement in K12 eLearning Solutions

Dynamic Pixel

With the power of technology at their fingertips, learners can now embark on a journey of discovery tailored specifically to their unique learning styles and preferences In this blog post, we will explore how personalized learning can boost engagement in k12 e learning companies in India. Stay tuned!

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How to Use an E-learning Company to Develop Training Assets

CommLab India

Being self-paced, it factors the limitations of independent learners and the constraints under which they learn. They are structured in a formal way keeping in mind the needs of learners, their learning styles and preferences. Podcasts are audio files that can be used to provide quick reminders, checklists or messages from SMEs.