Technology In High School Classrooms – Ia in generative classrooms: A deep dive into using CHATGPT and similar tools in this article: This article describes the basics of general AI for educational fields and…
This article describes the basics of generative AI for educators and provides practical ideas and solutions to easily integrate AI into the middle school classroom.
Technology In High School Classrooms
As the school year gave way to summer, I found myself engaging in exciting discussions with fellow students in our daily lives. Consensus? Robots are indeed here, but instead of a dark future sci-fi, we imagine our interactions with a generally quirky, if misguided, Michael Scott in an office in the kingdom of computers. After a few laughs, our conversation took a serious turn: How can we bring this transformative technology into the classroom?
Tech @ Carroll
In the ever-evolving digital scenario, a technology consistently headlines and transforms industries: artificial intelligence (AI). A particular branch of AI called generative IA has revolutionized the way we interact with technology and made us rethink the future of education.
A notable example of generative AI is the state of CHATGPT, a generative language model developed by OpenAi. The public launch of ChatGPT after Thanksgiving 2022 shook the world with widespread curiosity and concern. As educators, we should equip our students with an understanding of this innovative technology, not just a conversation.
Preparing students for their futures, which AI and Advanced Technologies will undoubtedly denigrate, requires that they collectively embrace these evolutionary technologies to teach students how to use these tools ethically and effectively.
Generative IA is a subset of AI that focuses on creating something new. Instead of simply analyzing and learning from input data, generative AI can generate new content, often from instructions and user-generated input requests. The output of these models can range from text to images and sound, including music and even realistic human speech. Generative AI operates on machine learning and neural networks, two central concepts in the world of AI.
Stem Career Pathways
ChatGpt is an excellent language model that uses sophisticated machine learning called deep learning. Having learned large amounts of text from the Internet, ChatGpt can produce human-like responses based on the information it receives. “GPT” CHATGPT stands for “Generative Pre-Training Transformer”:
Students need to understand this rudimentary element of what GPT stands for, the capabilities and limitations of ChatGPT.
ChatGPT’s goal is not to simply mimic human conversation, but to provide a useful and important interactive tool that helps with many tasks. Many educators and students are already finding uses—from class plans and question generation to writing, editing, and basic coding.
The importance of generative AI, especially in the emergence of large language models (LLMs) such as ChatGPT, cannot be understated. Generative AI tools are becoming increasingly ubiquitous and powerful, being used in many sectors including entertainment, health, education and business. Understanding generative AI is no longer useful for computer scientists or technology professionals; It is becoming a vital skill for everyone as our future workforce evolves with this technology.
The Rise Of Microschools: A Wake-up Call For Public Education
For high school students, learning about generative AI and tools like ChatGPT can provide valuable insight into the technology that is shaping your world. What’s more, as these students prepare for the workforce, a basic understanding of AI can open doors to many career opportunities in the tech industry and beyond for those who use AI to make their jobs more efficient.
By incorporating general AI concepts into our curriculum, we’re not just teaching students—we’re preparing them for a future where AI plays an increasingly integral role in everyday life. AI already does a lot for us today with auto-correction, facial recognition and social media feed production. Therefore, learning with generative AI, especially like ChatGPT, is critical for today’s students.
Just like teaching students how to use a graphing calculator, 3D printer, or even a graphic organizer, students need to understand how to use these tools to use them effectively. But for AI, teachers should highlight the main fundamental concepts of generative AI. A deeper understanding of these principles allows students to appreciate the potential and inner workings of models like ChatGPT.
A subset of AI, machine learning focuses on teaching computers to learn from data without explicit programming. Students must acquire a basic understanding of ML, as it forms the backbone of generative AI.
Computers In The Classroom
A common example of ML is an email account’s spam filter or electronic waste folder. The program learns from the data—email features that are flagged—for example, spam or no-spam—to predict and filter future spam emails. Another example involves teams at institutions like MIT developing AI programs to learn video games like Super Smash Bros. In front of human challengers.
Inspired by how the human brain works, neural networks are a series of algorithms trained to process data similar to the way the human brain interprets sensory inputs. Neural networks, especially “deep” neural networks with many layers, are essential for general AI models like ChatGPT.
A prime example is image recognition, such as your phone’s ability to recognize your face and that of others for tagging or safety purposes. This ability comes from a neural network trained to recognize faces and distinguish them by different features that have been accumulated to augment photos. Another example involves taking pictures of handwritten notes to convert them into digital text formats. In this process, the neural network learns how to identify the distinguishing attributes of different cartels.
NL is a technology used to enable computers to understand, interpret, generate and respond to data in a way that mirrors human language. Basically, it is about training artificial intelligence in the field of linguistics. This is fundamental to language models like ChatGPT, and is crucial for students to understand how AI interacts in a human-like manner.
How Has High School Changed Over The Last 20 Years?
By understanding these basic AI concepts, students will gain a more complete understanding of general AI and how they can use it. Furthermore, these principles are crucial not only for potential AI and technology careers, but also for other fields that increasingly intersect with AI, such as healthcare, business, and even the arts. As educators, our role is to make these complex concepts accessible and engaging to enable the next generation of AI literacy.
To successfully engage students with generative AI and tools such as ChatGPT, we need to understand the key elements of their functionality. The tactic involves a “hands-on” approach by combining
Introducing CHATGPT to students offers a revolutionary way to engage them in learning. Unlike traditional search engines that return a list of websites based on keywords, LLMs like ChatGPT are ready to process and generate human-like text, making learning more interactive and personalized for students based on their input requests.
Search engines are great at finding specific information on the Internet, so programs like Google and Bing are still essential to students’ daily learning. However, LLMs stand out for their ability to maintain engaging and multifaceted dialogues. LLMs refer to the previously entered context, enabling meaningful conversations in real time, such as talking to an experienced person. This level of interactivity can stimulate students’ critical thinking as they explore complex topics and allow students a more individualized learning experience.
Tech Connects, Levels Learning Differences
ChatGpt generates responses based on the input prompt. Well biases help students become more proficient and effective with this tool. Currently, most experts agree on five key components of a well-structured query:
Consider creating an activity where students can experience different directions using the structure above. Ask students to observe and evaluate the variety of responses generated by ChatGPT, especially by playing with other aspects of the prompt structure. This engineering activity can be playful and collaborative in its design, asking students to be creative and critical in their development.
From the beginning of their exploration of general AI tools, students need to understand that they operate based on pattern recognition and prediction based on data they have already been trained on. These tools have no understanding or awareness.
Despite the text like text it generates, the generic AI is a tool and not a sentient being. Programs like ChatGpt are unlikely to be as creative and unique as human students.
Mastering Tech Skills: When And What?
One way to teach students this concept is to organize a predictable activity. Students quickly learn that ChatGPT operates on standard recognition and prediction, not conscious understanding. Consider using the guidelines you have already developed, and ask students to adjust the parameter. Encourage students to make predictions based on these adaptations and then reflect on them.
Unlike humans, when they talk, ChatGpt has no working memory. Instead, the previous context of the chat topic (add data to the beginning of another) is added to each new prompt when you click to send. This means that the conversation is limited to a certain context before the previous content is completely forgotten. Therefore, providing a lot of information limits the ChatGPT response, making it last shorter and later.
I study this activity countless times to understand more about how to design incentives and expectations. First, ask students to set a goal:
Next, create a series of quick and easy-to-develop instructions for talking to ChatGPT. A part
