Transform Your Teaching: Education in the Age of AI – What is ChatGPT?

Reading Time: 2 minutes

In this episode, Dr. Rob McDole and Jared Pyles explore the origins of AI and how they led to ChatGPT. They discuss how AI’s continued growth has led to innovative tools as well as potential challenges in education. Check out the episode to hear them set the stage for the upcoming series on ChatGPT.  

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Show notes

This episode sets the stage for our summer series exploring ChatGPT. Our conversation begins with how the web has changed: Web 1.0, the internet’s ”Stone Age,” featured static pages and one-sided conversations. Web 2.0, the ”Renaissance,” brought interactive pages; while Web 3.0 offered machine-readable, interoperable, and decentralized information. 

AI’s timeline began in 1950 with the Turing Test, measuring machine intelligence. In 1956, John McCarthy introduced the term “Artificial Intelligence” at the Dartmouth Conference. The “Golden Years” of AI (1957-1974) saw the first AI programs and labs. The first and second AI winters (1969, 1973-1980) were marked by decreased funding and interest due to criticism and failed machine translation, respectively. AI resurgence happened with the advent of expert systems (1980-1987), but another winter followed due to their market collapse (1987-1993). 

Important AI milestones include Deep Blue beating a world chess champion in 1997, IBM’s Watson winning Jeopardy in 2011, chatbots passing the Turing Test in 2014, and the release of GPT-3 in 2020. 

Educational AI has also made significant strides. An early example of ed-tech with AI capability is PLATO in 1963. That early technology has adapted to include automated essay grading. Tools like Gradescope and E-rater utilize algorithms to provide feedback on student essays, saving teachers’ time and giving students more immediate feedback. Personalized learning paths like OpenSimon use student data to provide real-time, personalized feedback based on student performance and behavior. Intelligent tutoring systems adapt to the learning needs of individual students based on their performance and behavior exemplified by Jill Watson, augmenting education through personalized, real-time feedback. 

ChatGPT contributed to this description.  

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