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AI-Driven Learning and Upskilling: Building Your Personalized Learning Guide

AI-Driven Learning and Upskilling: Building Your Personalized Learning Guide

57mGeneral2025-08-04

Authors

Rolin Moe

Rolin Moe

Professor, Director of Academic Innovation Institute at SPU

Course details

AI can help learners extend their education outside of a course or curriculum, supporting study habits that can be more personalized and adaptive. This course takes you through the personalization of commonly available AI tools: the basics of how AI supports learning, hands-on customization, and refinement for your academic needs. Develop skills in crafting effective prompts, generating study materials, and ensuring accuracy. This course also addresses ethical implications at multiple levels. As you work, you will refine your AI support, monitor your progress, and make adjustments to match your evolving goals. By the end, you'll have a fully tailored AI study companion and a deeper understanding of its responsible use.

Learning objectives
Analyze the role of AI in curricular-based learning and identify how different AI tools support unique study needs.
Develop your own AI supports by applying generative techniques and customizing responses aligned with course and individual learning goals.
Engage AI to create study materials, build upon comprehension, and assess AI-generated content for accuracy and relevance.
Measure the effectiveness of your learning, modify your AI to improve learning outcomes, and learn about ethical AI use in academic settings.

Skills covered

AI for Business FoundationsAI Productivity ToolsGenerative AIArtificial Intelligence for BusinessArtificial Intelligence (AI)LearningBusiness Software and Tools

Concepts

0. Introduction

  • 01 - Getting started with learning and AI

1. Foundations of AI Learning Guides

  • 02 - How can AI support your learning
  • 03 - AI basics - Prompt engineering
  • 04 - Designing your learning guide

2. Building and Customizing Your AI Learning Guide

  • 05 - Developing the AI persona
  • 06 - AI guide engine - Define its role
  • 07 - AI guide engine - Goals and preferences
  • 08 - AI guide engine - Instructions
  • 09 - AI guide engine - Save for reuse

3. Using Your AI Learning Guide - Active Learning and Support

  • 10 - Enhance your understanding
  • 11 - Create real-time reviews
  • 12 - Advancing AI support - Responses
  • 13 - Advancing AI support - Project development
  • 14 - Advancing AI support - Critical inquiry

4. Evaluating and Adjusting Your AI Learning Guide

  • 15 - Limitations on AI - Fact-checking and bias
  • 16 - Tracking progress - Adapting your guide
  • 17 - The ethics of AI in learning

Conclusion

  • 18 - Continuing with AI and learning

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