Practical AI for Instructors and Students Part 1: Introduction to AI for Teachers and Students

Step-by-Step Tutorial: Practical AI for Instructors and Students

Introduction to AI for Teachers and Students

1. Understanding the Significance of AI in Education

   • Malik, a professor at Wharton, and Wharton Interactive are passionate about democratizing access to education.
   • The focus is on providing University of Pennsylvania-level education to everyone.
   • The emergence of practical AI has been a game-changer in education.

2. Exploring the Impact of AI in Classrooms

   • AI is a general-purpose technology that is transforming teaching, learning, and work.
   • AI models, particularly large language models, have revolutionized how we interact with technology.
   • Large language models like ChatGPT, BERT, and others are proficient in various creative tasks, including generating content like text, art, video, and audio.

3. Understanding How Large Language Models Work

   • Large language models are based on predicting the next word or part of a word in a sentence.
   • These models have ingested vast amounts of data from the internet to understand language patterns and word associations.
   • They use this knowledge to predict and generate text in a way that mimics human language.

4. Evolution of AI Models

   • Large language models started gaining prominence in 2019-2020 but significantly improved with the release of ChatGPT in late 2022.
   • ChatGPT and subsequent models like GPT-3.5 and GPT-4 have demonstrated exceptional capabilities in tasks like writing, coding, and even scoring well on standardized tests.

5. Implications of AI in Education and Workforce

   • AI is impacting various job roles, with higher-paying and more creative positions being affected the most.
   • Teachers and instructors are also likely to be influenced by the rise of generative AI.
   • The video emphasizes preparing students for a future where AI plays a significant role in learning and work environments.

6. Addressing Concerns and Ethical Considerations

   • AI models trained on vast datasets from the internet may exhibit biases and reproduce copyrighted material.
   • Ethical considerations include issues like plagiarism, human effort replacement, and the ethical use of AI in educational settings.
   • Questions about the societal implications of AI and its role in decision-making processes are raised, urging a balanced approach to AI integration.

7. Future of AI in Education

   • The video series aims to delve deeper into large language models, providing insights on how to interact with AI as a teacher and a student to enhance learning experiences.

By following these steps, you can gain a better understanding of practical AI and its implications for both instructors and students in educational settings.