Designed with the modern professional in mind, our skills management course is your transformative journey towards career success. This course offers key insights into strategies for skills-based hiring, enabling you to identify and analyze job-specific skills in your chosen field. You'll establish a systematic process for auditing and advancing your skills, boosting your professional agility. Throughout this course, you'll become familiar with Generative AI as a forward-thinking tool for skills assessment, self-assessment, and development. This understanding will place you at the forefront of your profession, ready to embrace and navigate the rapidly evolving world of AI in skills management.
Diving deeper, we unpack the principles of valid and reliable skills assessment, familiarizing you with essential standards and benchmarks. You'll master techniques for assessing skill acquisition and form a robust process for gathering the necessary tools and techniques. Here, we explore the potential of Generative AI, an emerging technology that could further refine these assessment techniques. Then, emphasizing self-awareness, the course guides you to effectively self-assess your job-specific skills, reinforcing your assessments with peer and expert feedback. You'll learn to estimate your total skillset score for specific skill sets, creating a foundation for career advancement. At this stage, we discuss how Generative AI could potentially enhance the accuracy of self-assessments in the future.
In the final stages, we discuss planning and executing skill-building training interventions using SMART goals. You'll use innovative tools such as Your Present Job Market Value, Self-Assessment Grid for Skills Evaluation (SAGE), and T-portfolio. The potential of Generative AI to improve these processes is also considered, positioning you at the cutting edge of your professional journey.
Upon completion of this course, you'll be equipped with the knowledge, tools, and innovative thinking necessary to optimize your skill-building journey and achieve career growth and advancement. With our course, you're not just taking a step forward; you're launching into a brighter, AI-augmented future.
Upon completion of this course, you will be able to:
• Identify and analyze job-specific skills in your area of interest.
• Develop a systematic process for analyzing and auditing your skills.
• Discover standards and benchmarks for assessing mastery of skill acquisition.
• Develop a process for gathering tools and techniques for skills assessment.
• Self-assess your mastery in job-specific skills, verified using peer/expert feedback.
• Estimate your total skillset score for job-specific skill sets.
• Plan and execute a skill-building training intervention using SMART skill-building goals.
• Understand the potential use of Generative AI in skills assessment, self-assessment, and development and remain at the forefront of your professional journey by being informed about emerging technologies.
This course is an invaluable stepping-stone towards your career growth and advancement, giving you the tools, insights, and innovative thinking needed to optimize your skill-building journey.
Overview
Syllabus
- 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.
Taught by
Michele Forte, Dr. Kymn Harvin Rutigliano , Amy Giaculli, Dr. Valeri Chukhlomin, Dr. Tonka Jokelova and Dr. John M. Beckem II
Tags
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