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Publicly accessible S3 resource for reference: https://t3learningdesign.s3.us-east-2.amazonaws.com/EDT501_AmazonS3_TestDocument.pdf

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Navigating the Highs and Lows of Online Learning

Navigating the world of online learning can be akin to steering a ship through uncharted waters. The potential for knowledge is vast, but the journey's success often hinges on the course charted by the educational content and its delivery. Let's dive into my voyage through the digital learning seas, highlighting good and bad experiences and the insights I've gained. The Tale of Two Courses: A Study in Contrast Recently, I completed an online course taught by a university professor focused on the Go programming language. Despite its comprehensive curriculum and high student ratings, the experience felt akin to being adrift due to its poorly paced delivery and the instructor's penchant for rambling. The instructor’s delivery, rather than facilitating learning, became a barrier, turning what should have been a smooth sail into a choppy ride. Frustrated with the structure of that course, I began to look for other resources, and I stumbled upon a beacon in the fog—Jon Calhou...

Embracing Learning Theories in Instructional Design: A Comprehensive Journey Through Modules

In this blog post, I delve into the application of learning theories in instructional design. Understanding and implementing these theories is not just academic; it's about crafting experiences that enhance learning, engagement, and retention. Whether you're a seasoned educator or a budding instructional designer, integrating these principles can profoundly influence the effectiveness of your learning environments. The following modules demonstrate real world applications of the following learning theories: Behaviorism : Applied through gamification, behaviorism modifies behavior using reinforcement and punishment to boost learner engagement and effectiveness. Gamification : Introduces game elements like scoring and competition into education to motivate learners by engaging their interests. Keller’s ARCS Model : Enhances motivation through four elements—Attention, Relevance, Confidence, and Satisfaction—to improve learning experiences. Mayer’s Principles of Multimedia Learning...

In Support of the Early Majority

Everett Rogers' Diffusion of Innovation Curve is a model that categorizes adopters of innovations into five segments based on their readiness and speed to adopt new technologies and ideas. These segments are Innovators, Early Adopters, Early Majority, Late Majority, and Laggards. This model helps understand how different groups within a society or organization adopt new ideas, which can significantly impact strategies for managing change. It provides insights into the characteristics of each group, aiding in tailored communication strategies to enhance the adoption process (Rogers, 1962). The Early Majority in Rogers' Diffusion of Innovation Curve are individuals who adopt new technologies and ideas after the Innovators and Early Adopters have done so. Characteristically, the Early Majority are more deliberate before adopting innovations, often requiring evidence that the innovation works and offers practical benefits. They tend to be more connected within their community than ...

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