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University of Minnesota vía Coursera
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Building and Managing Superior Skills

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  • Building a powerful, data-driven skill-building lab
    • The first lesson, "Specialization at a Glance," walks you through all stages of career self-management training and certification, giving you a bird's-eye view of the specialization. If you've already taken other courses in the specialization, you can either skip this lesson or skim through it quickly to refresh your memory. The second lesson provides an overview of the current Course 2 " Building and Managing Superior Skills." You will also begin working in your Career Development / Skills Management Lab. The latest addition to the lab activities is ChatGPT and other generative AI. In the third lesson, we describe our approach to skill development through self-quantification in a simulated, yet realistic job market scenario.
  • Understanding Skills Assessment
    • Job applicants frequently overestimate their qualifications for the desired position, according to research. Module 2 focuses on evidence-based, data-driven methods and techniques for assessing skills from the standpoint of subject matter experts. Professionals use a variety of tools and techniques to assess competency, including rubrics, frameworks, standards, and benchmarks. Dr. Michele Forte, Associate Professor at SUNY Empire State University, will introduce these methods this week. Then, we'll talk about and start using specific tools for skill assessment in CDL workouts, followed by a discussion about using Generative AI tools for skill assessment.
  • Mastering Self-Assessment
    • You will learn how to choose and use appropriate assessment tools to conduct a thorough, accurate, evidence-based, and data-driven self-assessment of your transferable skills. This week's guest lecturer, Dr. Kymn Harvin (Rutigliano), Associate Professor at SUNY Empire State University, will walk you through these topics. Then, you will participate in CDL workouts aimed at honing your skills and increasing your marketability by using specific instruments. We will continue the discussion about the use of Generative AI tools for skill assessment, self-assessment, and development, as we did in previous modules.
  • Putting Skills Management to Work
    • This Module will prepare you for ongoing skill-building and skills management. We anticipate that you will continue to develop your critical competency profile after completing this course. To that end, we recommend that you review your skills portfolio on a regular basis, perhaps once a month or as needed, and prepare for a self-directed training intervention. You are now well-versed in theoretical knowledge of skills assessment and self-assessment, as well as how to use SAGE ("The Self-Assessment Grid for Evaluation") and other instruments. You can also use ChatGPT and other generative AI tools. This week's exercises will assist you in self-organization. Dr. John Beckem, Associate Professor at SUNY Empire State University, is the guest speaker for this Module.