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Instructional Design Basics for Effective Learning

Learnbrite

This perspective highlights how individuals organize new information into existing cognitive schemas. Bloom’s Taxonomy for Effective Learning Objectives As an instructional designer, one of your primary responsibilities is creating learning objectives catering to different cognitive-process levels.

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On the Path to Better eLearning

Impelsys

The learning objectives should align with each user’s cognitive and metacognitive skills. Defining Learning Objectives While designing a learning path, it’s imperative to develop a plan that blends the eLearning course essentials with the needs and wants of each learner.

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2025’s Top Instructional Design Models You Simply Can’t Ignore

Hurix Digital

Gagnes 9 Events Gagnes 9 Events model, rooted in cognitive psychology principles, outlines a structured approach to instructional design that enhances learning and retention. Blooms Taxonomy Blooms Taxonomy is a hierarchical model that categorizes educational objectives into cognitive domains.

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Is AI in Learning and Development Fast-Tracking Dull Training, Especially eLearning Narration?

IT Training Department Blog

One we found was done on Chinese language speakers, which means it doesn’t directly apply to the English language but should still be considered.

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Can Brain Science Actually Help Make Your Training & Teaching Stick?

Speaker: Andrew Cohen, Founder & CEO of Brainscape

It's likely a matter of cognitive science! You’ve splurged on the expensive interactive courseware. Student engagement is stellar. So… why are half of your students still forgetting everything they learned in just a matter of weeks?

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Competency-Based Training: The Ultimate Guide to Building a Skilled Workforce

Ninja Tropic

A: To assess the effectiveness of Cognitive Behavioral Training (CBT), it’s important to track the following metrics: Employee Performance: Measure employee performance both before and after the training to identify skill improvement.

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Mettleflo and The Learning Rooms Transform Resilience Training

The Learning Rooms

With a doctorate in psychology and a PG Diploma in Cognitive Behavioural Therapy, Dr Perkins-Porras has substantial experience leading pastoral support programmes for thousands of students. Dr Linda Perkins-Porras , Senior Lecturer in behavioural medicine and psychology at City St.

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Unlock the Future of Learning Growth and Retention at Cognition24!

The annual Cognition virtual conference is back on October 16, and this year it’s FREE! You’ll enjoy: Inspiring Keynotes from top learning industry leaders, providing fresh perspectives to help you outperform the competition. Hands-on, Skill-Building Sessions to elevate your growth, retention, and product adoption strategies.

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Brain Fog HQ: Memory Enhancement Techniques for Professional Development

Speaker: Chester Santos – Author, International Keynote Speaker, Executive Coach, Corporate Trainer, Memory Expert, U.S. Memory Champion

At worst, your performance and cognitive functions are impaired, resulting in memory, management, and task completion problems. In October, scientists discovered that 75% of patients who experienced brain fog had a lower quality of life at work than those who did not. At best, brain fog makes you slower and less efficient.

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Drips, Bots, and Blogs: A Non-Traditional Approach to Learning Reinforcement

Speaker: Shannon Tipton, Chief Learning Officer, Learning Rebels LLC

Begin to write conversational content that addresses learning outcomes, avoiding content bloat and cognitive overload. Analyze the different use-cases between three different learning reinforcement drip delivery platforms to build into your content designs. Apply drip feeds in your organization to enhance outcomes. Save your seat today!

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Leveraging Learner Variability to Elevate Equity in EdTech

Speaker: Vic Vuchic, Chief Innovation Officer & Executive Director, Learner Variability Project

Learner variability recognizes the uniqueness of each learner; not just in cognitive skills, but in social-emotional considerations, and student background factors. If you look at this scene with an understanding of learner variability, you’ll know that this is a design challenge, not a student problem. And design challenges can be solved.