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ELC 074: Creating Effective Surveys for Instructional Design

The eLearning Coach

When you create surveys for instructional design, such as for an audience analysis or evaluation, what process do you use? She has an MA in Mathematics and an MBA and Diploma in Statistics. What you need to know about sample size. * Designing Effective Web Surveys by Mick Couper. * Types of Analysis for eLearning.

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How Educators Can Leverage Generative AI to Augment Teaching and Learning

Coursera

Sample prompts mirror learner prompts from research but are not written verbatim. Sample Shira Prompt: I’m taking a data science course that uses baseball as an example to explain statistical analysis concepts. Provide clear guidelines about effectively using GenAI. How do I do a user research study.

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Advanced Techniques for Applying AI to Detect Website Anomalies and Bugs

Hurix Digital

These algorithms can be tailored or combined to handle the exact problem at hand, making them extremely effective. Bug Detection through Code Analysis AI-powered bug detection tools analyze a codebase to identify recurring patterns. AI can perform static code analysis without having to execute it to catch preexisting bugs.

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The Learning Styles Zombie

Clark Quinn

They did a meta-analysis of the research out there, and concluded this with statistical rigor. Not with psychometric validity (that means tests that stand up to statistical analysis). Surely, if learners differ, we can identify how?

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How to Perform Audience Research for Online Courses

Think Orion

Audience analysis is the process of identifying audience characteristics, group size, and behaviors to possibly convert them later on. E-learning audience analysis is all about personas and identifying real students to whom virtual education is relevant. What is Audience Research? Tips for Building Audience for Your Online Course.

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How intersectionality and immersive learning help companies address gender inequity in the workplace

CLO Magazine

This rich data analysis helps highlight how we can all help improve gender equity in the workplace. When we again disaggregate these statistics, 67 percent of Latina and Asian women agree, 63 percent of white women agree and only 49 percent of Black women agree. But it’s not enough to just look at the data, we must also act.

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Re-thinking Workplace Learning: extracting rather than adding

Performance Learning Productivity

By almost any standards the sample in this study was large – 8,500 cases drawn from 14 organisations across six industries in nine countries. Context is Critical Although the Corporate Executive Board study is a good one, it didn’t tell us anything new about the importance of context for effective learning.

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