Understanding the AI in Your Classroom
Authors: Samantha Goldman; info@ciddl.org
Generative AI has exploded with applications, opportunities, and promise in the K-12 classroom. Publications, such as CIDDL’s Artificial Intelligence: The Impact of AI on Education for All Learners and the U.S. Department of Education’s Artificial Intelligence and the Future of Teaching and Learning, discuss how AI impacts or will impact K-12. And while generative AI is part of the discussion on AI, it is not the complete discussion on AI. Classrooms, schools, and districts have been using AI support for years. A recent EdWeek article pointed out something very relevant: many teachers using AI may not be aware that they are using it. Thus, this blog aims to define AI and explore the various categories within the general umbrella term. Additionally, we will share common classroom tools that fit into each category.
So, What is AI?
Artificial Intelligence (AI) is a branch of computer science that creates “intelligence” from data, algorithms, and hardware, allowing it to make decisions, find patterns, and complete actions. AI systems can be rule-based or use machine learning. According to Ruiz and Fusco (2023), there are a few important terms to know.
- Algorithm: the AI rules
- Natural Language Processors: ability to understand and comprehend language
- Intelligent Tutoring Systems/ Adaptive Learning: Material presented to students changes based on how the student performs
- Machine learning: The AI learns rules and patterns without a human giving it those rules
- Large Language Model: The foundation for generative AI models
One of the most well-known generative AIs is ChatGPT. The letters G, P, and T stand for “generative pre-trained transformer,” which means that it is a type of language model that responds to questions or prompts and is trained in advance.
AI is EVERYWHERE
While new generative AI tools appear daily, other common tools use AI. Platforms such as PowerSchool, which helps to track attendance, and student data platforms such as Otus use AI to manage school districts. Other examples include search engines, such as Google, which uses AI to curate results, and text-to-speech programs, such as Natural Reader.
Natural Language Processors
Natural language processors are popular in classrooms through devices like Alexa or for use in writing assignments as they power word prediction. These videos from the Writing Classroom show that Co:Writer is a great tool to support struggling learners with writing. Texthelp’s Read&Write is another great example of word prediction software. This category also includes tools like speech-to-text, grammar correction, and optical character recognition.
Intelligent Tutoring Systems and Adaptive Learning Platforms
Intelligent Tutoring Systems and Adaptive Learning Platforms are great options for independent work while the teacher works with a small group. Examples of these include IXL, Lalilo, and ALEKS. These platforms, and the dozens of others like them, learn what students know and provide them with curriculum and activities at their levels, adapting complexity as needed.
Generative AI
There is much excitement around these AI, as they are and continue to change how we think about education. They have shown promise in how we teach math, reading, and broad literacy. Moreover, it is changing how we design lessons and prepare teachers. As researchers, AI impacts how we analyze data and the questions we ask.
Implications for AI
Where do we go from here? What will the classroom look like in 10 years, five years, or even next year? It’s exciting to think about and even more exciting to dream about. Join the discussion about how AI is changing education in our community.