INSTRUCTIONAL TECHNOLOGY & CURRICULUM SUPPORT DEPARTMENT

AI TEACHING RESOURCES AT NPC

Welcome to the NPC AI Teaching Resources page, designed to empower faculty with the knowledge and tools needed to harness the potential of artificial intelligence in the classroom. This resource hub offers educators a brief understanding of AI, its ethical implications in educational settings, and practical case studies showcasing its applications. You will also find a few resources to assist with writing prompts and some AI tools for teaching and learning.

Be sure to review the AI Usage & Academic Integrity Guidelines for Faculty for important considerations around responsible AI integration in your courses.

Select a tab below to learn more using AI for teaching & learning.

WHAT IS AI?

Artificial Intelligence, or AI, refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. The term can also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. A subset of AI is machine learning, which refers to the concept that computer programs can automatically learn from and adapt to new data without being assisted by humans. Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

Applications of AI can be seen in everyday scenarios such as virtual assistants, chatbots, predictive analytics, and autonomous vehicles. AI technology continues to grow and evolve, opening new avenues for advancements in various fields, including healthcare, education, and finance.

AI IN EDUCATION

Artificial Intelligence is revolutionizing the field of education, offering new opportunities and methods for teaching and learning. Here are some of the key ways AI is being used in educational environments:

Personalized Learning: AI algorithms can analyze the learning patterns and performance of individual students, allowing for the creation of customized study plans. This approach ensures that learning is tailored to each student's strengths, weaknesses, and learning pace.
Automated Grading: AI can assist in grading assignments and exams, particularly in objective, multiple-choice formats. This not only reduces the workload for teachers but also allows for quicker feedback for students.
Intelligent Tutoring Systems: These systems use AI to provide direct, customized instruction or feedback to learners without human intervention. They can adapt to a student's learning style and pace, offering targeted exercises to address specific needs.
Chatbots and Virtual Assistants: AI-powered chatbots and virtual assistants can provide instant responses to student inquiries, facilitate administrative tasks, and offer learning support outside traditional classroom hours.
Data-Driven Insights: AI tools can analyze educational data at a scale impossible for humans, providing insights into teaching effectiveness, student engagement, and overall educational outcomes.

With these advancements, AI is not only enhancing educational experiences but also making them more accessible, efficient, and tailored to individual learning styles.

ETHICAL CONCERNS OF AI

While Artificial Intelligence offers significant benefits in the educational sphere, it also raises several ethical concerns that need to be addressed:

Data Privacy: The use of AI in education often involves collecting and analyzing vast amounts of student data. This raises concerns about student privacy and the security of their personal information.
Algorithmic Bias: AI systems can inherit biases from their human creators or from biased data sets. This can lead to unfair or discriminatory outcomes in educational settings, such as biased grading or resource allocation.
Lack of Human Interaction: Overreliance on AI tools could diminish the value of human interaction in education, which is crucial for developing social skills and emotional intelligence.
Accessibility: There's a risk that AI educational tools may not be equally accessible to all students, especially those from underprivileged backgrounds or with specific learning needs, potentially widening the educational divide.
Accountability: Determining who is responsible for decisions made or actions taken by AI systems can be challenging, leading to issues of accountability in educational outcomes.

It is crucial for educators, policymakers, and technologists to work together to address these ethical concerns, ensuring that AI is used in a manner that is fair, secure, and beneficial for all students.

AI USE CASES FOR TEACHERS

Artificial Intelligence offers a range of applications that can assist teachers in enhancing their teaching methods and classroom management. Here are several case uses of AI in teaching:

Curriculum Development: AI can analyze vast sets of educational data to identify the most effective teaching strategies and help teachers develop more effective lesson plans and curricular content.
Student Performance Tracking: Through AI algorithms, teachers can track the progress of each student, identify areas where they are struggling, and provide personalized assistance to improve their learning outcomes.
Classroom Management Tools: AI-driven tools can help manage classroom activities, keeping track of attendance, student participation, and engagement, allowing teachers to focus more on teaching.
Language Processing Tools: AI-powered language processing tools can help in language teaching, allowing for instant translation and language practice, which can be particularly useful in ESL (English as a Second Language) classes.
Interactive Learning Environments: Using AI, teachers can create interactive and adaptive learning environments, such as gamified learning modules, that can increase student engagement and make learning more fun.
Feedback and Assessment: AI can provide instant feedback on student assignments and assessments, allowing for more timely and personalized feedback to support student learning.

These use cases demonstrate how AI can be a powerful tool for teachers, enabling more personalized, efficient, and engaging teaching methods.

AI TRAINING RESOURCES

Here are some resources to help faculty and staff with using generative AI tools:

ISTE Resources: Artificial Intelligence in Education - https://iste.org/ai
Teaching with AI (OpenAi) - https://openai.com/index/teaching-with-ai/
Generative AI for Educators (Google) - https://skillshop.exceedlms.com/student/path/1176018
AI Quick Study Series - https://acue.org/ai-series/
AI Education Project - https://www.aiedu.org/educator-empowerment

USING AI IN THE CLASSROOM

Generative AI can be a powerful tool for teachers to engage with students in various innovative ways. Here are some ideas for using it in your classroom:

Interactive Learning
Classroom Assistance
Writing and Language Practice
Exploring Complex Concepts
Creative Projects
Feedback and Assessment
Research and Inquiry
Gamification

Need more ideas? Read "20 ways to use ChatGPT in the classroom"

WRITING AI PROMPTS

Checkout this ChatGPT Prompt Cheat Sheet from superhuman.ai with more suggestions for writing AI Prompts. And here is a guide for Chat Prompt Engineering and a Prompting Cheatsheet.

AI TOOLS FOR TEACHERS

Here are some free and low-cost AI tools that offers unique features that can enhance different aspects of teaching and learning, from lesson planning and content creation to assessment and student engagement.

AI LIB GUIDE

Check out the NPC Library Guide on AI at https://npc.libguides.com/artificialintelligence.

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