Capstone Projects

The course culminates with the creation of a capstone project that incorporates skills and knowledge acquired throughout the course and which participants implement with students. The links below lead to exemplary examples from Years 2 through 6 of this project.

sample capstone projects, year 7

Grades K-5

Aldine x AI | ISTE Capstone Project:  Roberto Soracco, Ann Waite, Belinda Howell, Dan Larson, Aldine ISD City Schools, Houston, TX. This project integrates AI into lesson plans (elementary & secondary) using machine learning themes. Engaging lessons leverage existing AI tools (e.g., Adobe Express) to promote creativity and critical thinking. From generating animal models to crafting AI-powered historical songs, students actively explore AI concepts while strengthening subject knowledge. This fosters a fun, engaging learning environment while furthering AI literacy within the curriculum. 


Springtown ISD AI Capstone- How can you create a new community space for Springtown? Brandi Bradford, Brittany Cole, Elizabeth Hill, Jennifer, Hentschel, Springtown ISD, Springtown TX. Our project uses the inquiry cycle to create a new community space for Springtown. Students in grades 3 to 5 will interact with chatbots in a Social Studies lesson to learn the history of how communities are formed, and to formulate ideas for how to best utilize an already designated space for community improvement and involvement. They will then create their own chatbot to answer community questions regarding their plan for the former splash pad location. They will design a new space for the location and use generative AI to create an image that represents their designed space to present to their classmates.


Grades 6-8

Aldine x AI | ISTE Capstone Project:  Roberto Soracco, Ann Waite, Belinda Howell, Dan Larson, Aldine ISD City Schools, Houston, TX. This project integrates AI into lesson plans (elementary & secondary) using machine learning themes. Engaging lessons leverage existing AI tools (e.g., Adobe Express) to promote creativity and critical thinking. From generating animal models to crafting AI-powered historical songs, students actively explore AI concepts while strengthening subject knowledge. This fosters a fun, engaging learning environment while furthering AI literacy within the curriculum. 

MMSD ISTE App: Shane Fisher, Eric Benedict, Scott Fernholz, Luke Gangler, Hollis Rudiger,  Madison Metropolitan School District, Madison, WI. The purpose of this project is to showcase how AI can be used to help build resources for teachers. We built an application that will help a teacher build a successful prompt that will generate the best resource for their students. While the application can work K-12, the outputs are currently more geared towards high school grade levels and multiple disciplinary with a focus on AVID and reading strategies. Building resources can be a challenging and time consuming process. This application helps streamline the process and helps both the students, by giving them a great resource to showcase their learning, while also helping give teachers back some of their valuable time for their students instead of spending hours building lessons. Our goal is to give teachers time so they can do what they are best at - building human connections with their students.      

Understanding Artificial Intelligence: An Introduction in AI for Middle School Students: Lise-Lotte Lublin, Leslie Chorzempa, Joanne Virella-DiSImone, Walter Johnson Academy of International Studies—Clark County School District, Las Vegas, NV. A PowerPoint presentation designed to introduce middle school students to the fundamentals of artificial intelligence. The presentation covers key concepts such as machine learning, generative AI, and real-world AI applications. It includes engaging visuals, simplified explanations, formative assessment, and interactive activities to demystify AI and demonstrate its impact on community service as far as it relates to food insecurity while being culturally responsive and culturally relevant. The goal is to empower students to integrate AI into their lives in such a way as to foster critical thinking and prepare them for future technological advancements.


Grades 9-12

Aldine x AI | ISTE Capstone Project:  Roberto Soracco, Ann Waite, Belinda Howell, Dan Larson, Aldine ISD City Schools, Houston, TX. This project integrates AI into lesson plans (elementary & secondary) using machine learning themes. Engaging lessons leverage existing AI tools (e.g., Adobe Express) to promote creativity and critical thinking. From generating animal models to crafting AI-powered historical songs, students actively explore AI concepts while strengthening subject knowledge. This fosters a fun, engaging learning environment while furthering AI literacy within the curriculum. 

Going Deeper with AI During Fly Friday: Dominique Ormond, Amanda Ireland-Desmond, Erika Woodard, Jose Acosta, Kendrick Vines, Vernon Malone College and Career Academy/Wake County Public School System, Raleigh, NC. To enhance the conceptual knowledge of secondary students within our building, this capstone project was designed to present factual information and allow interpretation of the topic through different modalities. This project is a reboot of an already established system at our school. Fly Fridays are schoolwide homeroom lessons focusing on different topics pertaining to the student body. As a team we decided to center on AI because we’re a group of professionals that openly embraces new technology and see the benefits it has regarding student learning. Our hope is to build capacity not only in students, but colleagues as well.

MMSD ISTE App: Shane Fisher, Eric Benedict, Scott Fernholz, Luke Gangler, Hollis Rudiger, Madison Metropolitan School District, Madison, WI. The purpose of this project is to showcase how AI can be used to help build resources for teachers. We built an application that will help a teacher build a successful prompt that will generate the best resource for their students. While the application can work K-12, the outputs are currently more geared towards high school grade levels and multiple disciplinary with a focus on AVID and reading strategies. Building resources can be a challenging and time consuming process. This application helps streamline the process and helps both the students, by giving them a great resource to showcase their learning, while also helping give teachers back some of their valuable time for their students instead of spending hours building lessons. Our goal is to give teachers time so they can do what they are best at - building human connections with their students. 


Professional Development


AI in a Trauma Informed Classroom: Sheila Morgan, Shelby Schackne, Veronica Medina, Cindy Caldwell, Laura Hernandez, Pace Center for Girls Inc, Jacksonville, FL. The project developed a trauma-informed chatbot for educators, integrating principles from the Mandt System and SAMHSA. The chatbot leverages AI types like natural language processing and machine learning to recognize and respond empathetically to trauma-related cues. Educators can engage with the chatbot to learn trauma-sensitive communication and intervention strategies. The system incorporates intentional protocols, offering opportunities for professional development through simulated scenarios and guided reflections, enhancing educators' skills in creating supportive, trauma-informed educational environment.

Aldine x AI | ISTE Capstone Project:  Roberto Soracco, Ann Waite, Belinda Howell, Dan Larson, Aldine ISD City Schools, Houston, TX. This project integrates AI into lesson plans (elementary & secondary) using machine learning themes. Engaging lessons leverage existing AI tools (e.g., Adobe Express) to promote creativity and critical thinking. From generating animal models to crafting AI-powered historical songs, students actively explore AI concepts while strengthening subject knowledge. This fosters a fun, engaging learning environment while furthering AI literacy within the curriculum. 

Griffin Spalding County Schools: Leslie Fagin, Tabatha Schwanbeck, Lonny Harper, Griffin Spalding County Schools, Griffin, GA. Our group created a podcast in which we described artificial intelligence, different types of AI, and how it can be used in the world of education. To combat an existing problem that we have in our district. we created a chatbox that will answer questions on how to operate the camera systems that are installed in all classrooms across the district. 

Secondary Pre-Service Teachers and AI—Enhancing the 50-Hour Experience: Starlynn Nance, Amanda Brewer, Andrea Dieckman, University of Central Missouri, Warrensburg, MO. 50-Hour students will learn the basics of AI and complete an assignment that assesses their understanding. Students will be presented with information over chatbots and generative AI and required assignments will be hands-on and student-centered. Students will create a new product from their new knowledge about AI.

Team KABE-“Promoting Linguistic Equity and Justice through AI-based Teaching and Learning in a Bilingual Education Context” : Minhye  Son, Jongyeon Ee, Sae saem Yoon, Korean AI Bilingual Educators (KABE) - Loyola Marymount University, University of Washington Tacoma, & California State University, Los Angeles, CA. Team KABE designed a half-day professional development workshop for pre-service bilingual teachers, focusing on AI-based teaching and learning in Korean dual language bilingual education (DLBE), entitled, “Equity and Empowerment: Integrating AI for Linguistic Justice in Bilingual Education.” The free PD workshop aims to explore AI-driven strategies for enhancing language learning and cultural competence. Targeting educators in Korean DLBE settings and K-12 bilingual education, the workshop addresses key goals such as understanding AI's role in language education, assessing its impact on linguistic diversity, and integrating AI tools to promote bilingualism, biliteracy, and multiculturalism. Aligned with California's Bilingual Teaching Performance Expectations (BTPEs), it emphasizes inclusive learning environments, diverse assessment strategies, and advocacy for bilingual education. Team KABE's collaborative effort aims to equip educators with the knowledge and tools to foster linguistic equity and justice, benefiting bilingual students and communities. 


sample capstone projects, year 6

Grades K-5

Putnam City AI Capstone -History Tutorial Chatbots:  Laura Smith, Charri Stratton, Jeni James, Shane Cole, Mariah  Kennemer, Brian Redus, Putnam City Schools. Our AI project focuses on students creating and using tutorial chatbots to learn about American History. High school students, 8th grade students, and 5th grade students will create tutorial chatbots for a younger grade level about selected American History standards. The final product is a tutorial chatbot for the lower grade assigned that will help those students to learn/ review their American History standards. 

Training Data and Machine Learning to Make Weather Predictions:  Gail Omohundro, LeAnn Morris, Nancy Cole, Adrienne Wiggins, Carson City School District / Empire Elementary. This project is an integrated unit intended for 3rd grade but can be adapted for any grade level. Students will gain an understanding of the basics of AI, with a focus on machine learning. Students will then apply their knowledge as they collect data about the weather and use this data to train a machine.


Grades 6-8

Apply AI: Katie Moyer, Todd Hinderman, Tanya Houle, Emily Souders, Ryan Hiller, Beth Clothier, La Conner School District. The team developed an interactive information network presenting a variety of different AI tools to students in relation to a variety of disciplines. Students then have the opportunity to apply a tool to a current world problem in relation to the intended subject area. We wanted this resource to have flexibility to be used in a variety of classrooms as well as be open ended to better accommodate problem based learning. 

Artificial Intelligence in the STEAM classroom: Stephanie Trautman, Jennifer Degazio, Jen Gabrys, Katherine/Kaci Garland, Sarah Hobart, Detroit Country Day School. The capstone project for the Detroit Team includes three lessons that will help middle school students (grades 6-8) in a STEAM class learn what artificial intelligence is, build an understanding of how it works, and consider the social implications of AI. Each lesson linked in our website explains the objectives/learning goals, as well as ISTE standards. Within each of the three lessons, one can observe how they will unfold for the teacher and class and what students will do with the new knowledge they’ve gained. Students explore the topics surrounding AI in a variety of modalities, developing an understanding of AI, while actively generating examples that showcase knowledge. Students design an information map to mimic neural networks, design an interactive computer game, and create a summary infographic of the benefits, drawbacks, and social implications of AI. Student work can be found at the bottom of the website. 

Does Air Pollution Affect Animal Populations in Dearborn: Bob Harrison, Robert Attee, Amy Gwizdz, Dearborn Public Schools. Middle school students explore the impact of air pollution on organisms using hands on experiences along with AI integrations to research known impact on organisms, examine trends on the impact on organisms, teaching a machine to identify air/water pollutants, and using generative AI to create a futuristic picture of our community.  

Have No Fear, AI is Here: Jill Hill, Shana Ramin, Courtney Votta, Royal Oak Middle School/Royal Oak Schools. Our Royal Oak Team has created a 3-tiered Capstone project for multiple audiences. The first is a lesson targeting middle school students entitled “Enhancing Student Reflections with AI.” The second is a secondary staff professional development session named “Lesson Design with AI in Mind”, and the third is a series of summer workshops to present to county-wide educators at the intermediate school district level on the topics of understanding AI with “Have No Fear AI is Here” and “Exploring AI Plagiarism.” Together these projects reflect our collaborative effort to inform our various stakeholders about AI in education. 

Putnam City AI Capstone -History Tutorial Chatbots:  Laura Smith, Charri Stratton, Jeni James, Shane Cole, Mariah  Kennemer, Brian Redus, Putnam City Schools. Our AI project focuses on students creating and using tutorial chatbots to learn about American History. High school students, 8th grade students, and 5th grade students will create tutorial chatbots for a younger grade level about selected American History standards.The final product is a tutorial chatbot for the lower grade assigned that will help those students to learn/ review their American History standards. 

Using an AI-Driven Mock Classroom Science Fair as an Introduction to Experimental Design: Demetrice Smith-Mutegi, Tamu Crisden, Tarsjy Jones, Matthew McConnell, Old Dominion University. The intention of the artifact is to educate teachers on how ChatGPT can be used to support students with their science fair project. With each new field comes a new set of disciplinary-specific problems. Unfortunately, teachers do not have the time and sometimes the knowledge base to support ALL students. Chat GPT can be used as a personal teacher, tutor, and/or mentor as students embark on their novel science fair project.


Grades 9-12

Apply AI: Katie Moyer, Todd Hinderman, Tanya Houle, Emily Souders, Ryan Hiller, Beth Clothier, La Conner School District. The team developed an interactive information network presenting a variety of different AI tools to students in relation to a variety of disciplines. Students then have the opportunity to apply a tool to a current world problem in relation to the intended subject area. We wanted this resource to have flexibility to be used in a variety of classrooms as well as be open ended to better accommodate problem based learning.

Plastics in the Connecticut River: Designing Technology with Image Recognition and Machine Learning to Combat Water Pollution: Kristine Emond, Shilpa Choudhary, Elizabeth Wright, Fran Ferrall, East Hartford Public Schools. This is an interdisciplinary IB unit between MYP4 Design Technology and Integrated Sciences. The goal is for grade 9 students to design a technology that uses AI machine learning and image recognition to remove pollution from the Connecticut River, specifically separating recyclable plastics from waste from living organisms. In Design, they will learn about design thinking, machine learning, and image recognition. They will learn about plastic waste solutions and water pollution within Integrated Sciences. With some models as an example, students will work in these classes to develop an approach and design a technology to tackle these issues.  

Socratic Seminar: A Dialogue Around Artificial Intelligence in Education: Craig Perrier, Kenyetta McNeil, Tammi Sisk, Lucas Cook, Erin Sylves, Stacey Kiggins, Fairfax County Public Schools. This Socratic Seminar aims to raise awareness and curiosity about AI in education, engaging teachers and students. Its three main goals are: fostering conversation among teachers, collecting current state "Street Data" for future work, and building a community that values in-depth discussions on complex educational topics. The seminar prepares staff for ongoing changes and promotes a shared responsibility in balancing AI and human aspects. By developing computational and design thinking skills alongside social emotional skills, the seminar emphasizes the potential of AI to greatly benefit society, while highlighting the importance of treating individuals as more than just data subjects.  


Adults

AI and the K-16 Educator: Elizabeth Elgert, Kelsey Pacer, Stephanie Playton, Virginia Lewis, GRAETC/Longwood University. The three goals of our project were to emphasize and model the importance of AI for all teachers and students, provide an opportunity for open discourse around AI in education, and share useful teaching and learning materials. Our project consisted of a two-part professional development for our regional edtech consortium, a choice board for adult learners to personalize their AI exploration, and a school-based presentation offered at one of the team member's high schools. 

AI Explorations - Resources for Teaching and Learning about Artificial Intelligence: Amy Hamburg, Dana Thompson, Catharine Reznicek, Julie Judd, Ventura County Office of Education. A Google Sites project which focuses on providing a curated set of resources to help educators build their own expertise in AI as both users and learning facilitators. Resources include entry level topics such as “What is A!” as well as more in depth materials that explore AI through the lens of media literacy, productivity tools, and guided exploration. We will continue to develop this site as we learn and grow in our understanding of AI in Education.  

AI Explorations and Applications in the K-12 Education Setting: Sheila Teri, Charlie Hinsch, Kelly Miller, Jennifer Clements, Virginia Beach City Public School. As Instructional Technology Coordinators, the members of our team support Instructional Technology Specialists (ITSs), Library Media Specialists (LMSs), and the division’s instructional staff in leveraging technology to implement innovative instructional practices and future-ready learning environments. Over the last few months in particular, there has been an increased interest among the educators we serve in the topic of AI and ChatGPT in particular; therefore, we have begun to facilitate professional learning experiences for central office staff, ITSs, LMSs, and some teacher groups. Our resources (including our slideshow, exploratory activities, and curated collections) have evolved over these last few months based on the wealth of material about AI that we have encountered through this course and our other professional learning explorations. The Google Site is our current platform for AI exploration for our school division; however, we recognize the necessity of updating it frequently to ensure its currency and relevance. 

AI in Education: The 5Cs Capstone Project: Anna Turner, Brittny Bozeman, Holly Hunter, Brittny Bozeman, Bryson Finney, Giumarra Duhart, Ceteka Gooch, Veronica Dougherty, Metro Nashville Public Schools. When designing this project, we wanted to create an artifact/lesson we could use. Most of our teacher training is done with the “course” system available in Schoology, but we have been exploring other deliverables that will engage teachers and provide an on-going resource. We also demonstrate integrating technology as we are the learning technology team. We designed an app in PowerPoint that teachers can save to their desktop or to their phone’s home screen. It is also a reminder that PowerPoint need not be the boring presentation of yesteryear. The goal of this lesson is to provide a tasting of AI opportunities in education and the importance of media literacy and digital citizenship in this area. We chose to incorporate the 5 Cs: critical thinking, creativity, communication, collaboration, and character, with the focus or bulk of the lesson surrounding ethics (character). The activities and resources used were curated to provide an initial experience with AI in education that teachers can modify for their students as appropriate. The sharing capability of Jamboard provides a place where teachers can ask other participants and presenters about their completed lessons, lesson ideas, and general questions. The learning is ongoing after the session. The goals of the lesson are to provide opportunities for teachers to answer these questions preworkshop and post-workshop: How is AI literacy important for educators and students? OR How does AI present ethical considerations in education?  

AI in the Classroom PD: Kimberly Botts, Alexandra Fausett, Jessica Antes, Justin Frieman Charles, Jennifer Lichter, Marjorie Baker, Round Lake Area School District 116. Our team’s capstone project is a series of three professional development offerings for teachers to help them better understand AI with examples they can use in their classroom with their students shared as a course in the Canvas Commons (search "AI in the Classroom"). The elementary level session focuses on machine learning and visual perception, the middle school session focuses on deep fakes and information reliability, and the high school session focuses on ethical use of AI and effective use of AI for learning. 

(Canvas course export links)

Artificial Intelligence (AI) Professional Development: Stephanie Thompson, Lacy Behl, Tammy Seneca, West Baton Rouge Parish Schools. We created a teacher training module for AI. We broke it into three components: Introduction to Artificial Intelligence and Machine Learning, Artificial Intelligence in the classroom, and a sample Artificial Intelligence Lesson to teach. 

Artificial Intelligence for Preservice Teachers (AI4PST): Srikanth Vemula, Stephanie Grote-Garcia, Lucretia Fraga, Ann David, University of the Incarnate Word. This project aims to equip preservice teachers with a foundational knowledge of AI, its application in product creation, and the associated ethical implications. The "Basics of AI" module offers a comprehensive overview of commonly used techniques and different AI categories. In the "Words, Images, and Music" section, participants will create AI products and engage in reflective exercises. The "Ethics" section incorporates a video that prompts critical thinking on how AI aligns with our ethical standards as it becomes increasingly integrated into our everyday routines. This holistic approach fosters a well-rounded understanding of AI's technical, creative, and ethical dimensions. 

Artificial Intelligence for Student Learning: Theresa Perry, Chris Young, Megan McMillen, Pamela Sands, Lisa Johnson, Sabrina Steigelman, Cumberland County Schools (NC). Our cohort developed a Canvas course that delivers information about the potential of Artificial Intelligence (AI) in Student learning. This course provides an objective lens that describes this potential to educators with little knowledge of or experience with AI. The course delves into the definition and applications of Artificial Intelligence in education, outlines the benefits and constraints of integrating AI in teaching and learning, explores real-world implementations of AI in classrooms, examines ethical considerations pertaining to AI usage in education, and analyzes the potential impact of AI on the future of learning.  

Artificial Intelligence in Education, a 2-part course module:  Megan Henderson, Xin Bai, Hongjin Du, CUNY Team. The CUNY team designed a 2-part course module for pre-service and in-service teachers to learn about AI and its educational implications. It includes engaging activities, tools the teachers can customize and adapt to their K-12 teaching, and valuable multimedia resources for further exploration. The slideshow will be used in two consecutive class sessions to introduce the critical AI concepts and educational tools and provide group activities to promote student engagement and inclusion.  

Have No Fear, AI is Here: Jill Hill, Shana Ramin, Courtney Votta, Royal Oak Middle School/Royal Oak Schools. Our Royal Oak Team has created a 3-tiered Capstone project for multiple audiences. The first is a lesson targeting middle school students entitled “Enhancing Student Reflections with AI.” The second is a secondary staff professional development session named “Lesson Design with AI in Mind”, and the third is a series of summer workshops to present to county-wide educators at the intermediate school district level on the topics of understanding AI with “Have No Fear AI is Here” and “Exploring AI Plagiarism.” Together these projects reflect our collaborative effort to inform our various stakeholders about AI in education. 

LACOE Hyperdoc: The Societal Impact of Artificial Intelligence: Christopher Hoang, Jeannine Flores, Scott Moss, Mark Schwanz, Laura Wilson, K Yip., Alejandro Chavira, Cathy Rodriguez, Los Angeles County Office of Education. Introducing our HyperDoc designed to educate educators about the diverse applications of AI, ethical implications, biases, and societal impact. This HyperDoc aims to empower educators by engaging them in activities utilizing Google Draw, Google Teachable Machine, ChatGPT, generative AI artwork, and discussions. The objectives are two-fold: 1. Learn to effectively utilize various AI programs, and 2. Discover ways to engage students in AI usage in the classroom while promoting an understanding of biases, ethical concerns, and limitations associated with AI technology. 

Professional Development Credit Course on AI in Education: Billeen Carlson, Kristie Cotroneo, Christine Ermold, Heather Baker, Team Alaska/Kenai Peninsula Borough School District. Expanding knowledge of AI applications in education will advance educator ability to leverage AI tools for the purpose of allocating time and resources more efficiently to support high outcomes for students and educators alike. Offering professional learning experiences in conjunction with university credit supports educator recertification and salary advancement efforts. This course syllabus was designed in alignment with the following educator standards: PSEL, InTASC, ISTE for Ed. Leaders, and ISTE for Educators for the purpose of exposing educators and education leaders to AI and its uses in education. The course includes learning outcomes, activities, and a rubric. 

Socratic Seminar: A Dialogue Around Artificial Intelligence in Education: Craig Perrier, Kenyetta McNeil, Tammi Sisk, Lucas Cook, Erin Sylves, Stacey Kiggins, Fairfax County Public Schools. This Socratic Seminar aims to raise awareness and curiosity about AI in education, engaging teachers and students. Its three main goals are: fostering conversation among teachers, collecting current state "Street Data" for future work, and building a community that values in-depth discussions on complex educational topics. The seminar prepares staff for ongoing changes and promotes a shared responsibility in balancing AI and human aspects. By developing computational and design thinking skills alongside social emotional skills, the seminar emphasizes the potential of AI to greatly benefit society, while highlighting the importance of treating individuals as more than just data subjects.  

What is AI? Lauren Margulieux, Gail Kasun, Yin-Chan, Janet Liao, Chenyi Zhang, Georgia State University. This Capstone project is a workshop for young adults and the adult leaders who participate in an educational enrichment experience at a project called Caminando Unidos in urban Mexico (Cuernavaca). The goals are for participants to understand what AI is, how they use it regularly, and how they might consider using it more intentionally for their own purposes. The participants will be engaged in a highly interactive 2-4 hour workshop in May and hopefully leave empowered with more knowledge of AI in their lives and how they can use it directly for their and their community’s benefit. 


Sample Capstone Projects, Year 5

Grades K-5 


An Ethical Approach to AI in Education: Lisa Tafoya, Cody Reid, Stephanie Eaton, Kate Schartel Novak, Shelda Kirkland, Karin Webb, Proximity Learning. PD slideshow for teachers featuring quick turnkey activities for immediate use in the classroom as well as turnkey yet customizable Canvas course modules specific to elementary, middle level, and high school students. 

Capstone Project Team Palm Beach: Terri Miller, Cathy Angione, Kim Culp, Dana Rubenstein, Tasha Burke-Peart, Jonathan Decker, School District of Palm Beach County. Our project features three lessons that can be used in various grade levels (3-5 and 6-8) across multiple subject areas. The lessons all reflect the multiple ways that AI can be integrated into academic curriculum. By informing our students and fellow educators of the AI and Machine Learning (ML) integrations all around them, we can open their eyes to the future impacts on their lives.

Exploring Artificial Intelligence: Lori Steinhauser, Paige Besthoff, Regina Nadbielny, Allyson Smith, Orange/Essex. The elementary school teachers developed a slide presentation titled Exploring Artificial Intelligence and Machine Learning for use in grades 3-5 technology classes. Creating a Chatbot in lesson 5 also meets the Algorithm & Programming standard. We incorporate English Language Arts (reading, listening, and speaking) by reading books on the subject and having class discussions.

The magic behind AI:  learning about Expert Systems and Machine Learning using A 5E instructional process: Aaron Sickel, Stacy George, Trisha Kim, University of Hawaii at Manoa/Hawaii Dept of Education. The project exposes students to AI by comparing expert systems and machine learning using a 5E instructional design process: Engage, Explore, Explain, Elaborate, and Evaluate.   

TRAIN, ATTAIN, SUSTAIN: Exploring how AI impacts and forms our experiences today, tomorrow, and in the future: Lisa Blank, Jamie Lee, Tara Elmer, Watertown City School District. TRAIN, ATTAIN, SUSTAIN reflects the importance of training our students about artificial intelligence and its impacts in our world.  Our goal is for a basic understanding of artificial intelligence and related concepts to be attained by all students. Lessons for grades 2-12 explore how AI impacts and forms our experiences today, tomorrow, and in the future. 


Grades 6-8


AI Explorations Roadmap: Venus Cataldo, Andrea Lewinsky, Tiffaney Trella, Rachel Carter, Tina Felger, Tracy Pinter, Youngstown City School District. The activities on the Artifact are designed as a Roadmap that is meant to engage students and help them learn about AI. Activities include an exploration of Machine Learning and Deepfakes, as well as how AI uses sensors to process input.  

The AI Quartet: Exposure No. 1 in CS Major, 4K 12: Leighton Redditt, Angela DeHart, Noora Aabed, STEM Impressionists. Our capstone project walks students through simplified hands-on activities that excite them about the range of uses the field has to offer. Whether creating their own machine learning model or a chatbot, students participating in a CS or FACS class gain the technical skills needed to train a computer to analyze data, and output desired results. 

An Ethical Approach to AI in Education: Lisa Tafoya, Cody Reid, Stephanie Eaton, Kate Schartel Novak, Shelda Kirkland, Karin Webb, Proximity Learning. PD slideshow for teachers featuring quick turnkey activities for immediate use in the classroom as well as turnkey yet customizable Canvas course modules specific to elementary, middle level, and high school students. 

Capstone Project Team Palm Beach: Terri Miller, Cathy Angione, Kim Culp, Dana Rubenstein, Tasha Burke-Peart, Jonathan Decker, School District of Palm Beach County. Our project features three lessons that can be used in various grade levels (3-5 and 6-8) across multiple subject areas. The lessons all reflect the multiple ways that AI can be integrated into academic curriculum. By informing our students and fellow educators of the AI and Machine Learning (ML) integrations all around them, we can open their eyes to the future impacts on their lives.

Exploring Artificial Intelligence: Lori Steinhauser, Paige Besthoff, Regina Nadbielny, Allyson Smith, Orange/Essex. The middle school Google Slides Presentation, Artificial Intelligence & Machine Learning, can be used in a STEM, CS or Technology class with students from 6th to 8th grade. The middle/high school Google slides Presentation What is AI? can be used in a STEM, CS, or technology with students from 8th through 12th grade. All three lessons meet the NJ State Standards for the Impact of Computing and Computing Systems. 

The Halifax Renaissance: Marjorie Bowers-Stanley, Aubree Mitchell, Christie Lewis, Halifax County Middle School. The project was developed for middle school U.S. History II courses.  It was designed to be integrated into the Harlem Renaissance Unit as a way for students to gain deeper knowledge of the artists of that time period while gaining exposure to Artificial Intelligence and its concepts. 

Hey Comet! An Introduction to AI for Middle School Students: Debbie Reynolds, Gregory Natale, Sarah  Davis, Christina  Jackson, Commonwealth Charter Academy. A teacher guide containing a choice board of lesson plans for teachers in our district to implement AI in the classroom. 

Should Humans Continue to Use and Develop Artificial Intelligence? Melissa Ashton, Lizann Herrera, Jennifer Matthews, Jeremy Roy, Katie Ventura, Josh Simondet, Puyallup School District. The project begins with a discussion asking, "Should Humans Continue to Use and Develop Artificial Intelligence". AI is explored further looking at the different parts of AI and then an exploration of machine learning. The project concludes with students expressing their conclusions about if humans should continue to use and develop AI.


TRAIN, ATTAIN, SUSTAIN: Exploring how AI impacts and forms our experiences today, tomorrow, and in the future: Lisa Blank, Jamie Lee, Tara Elmer, Watertown City School District. TRAIN, ATTAIN, SUSTAIN reflects the importance of training our students about artificial intelligence and its impacts in our world.  Our goal is for a basic understanding of artificial intelligence and related concepts to be attained by all students. Lessons for grades 2-12 explore how AI impacts and forms our experiences today, tomorrow, and in the future. 


Grades 9-12


The AI Quartet: Exposure No. 1 in CS Major, 4K 12: Leighton Redditt, Angela DeHart, Noora Aabed, STEM Impressionists. Our capstone project walks students through simplified hands-on activities that excite them about the range of uses the field has to offer. Whether creating their own machine learning model or a chatbot, students participating in a CS or FACS class gain the technical skills needed to train a computer to analyze data, and output desired results. 

An Ethical Approach to AI in Education: Lisa Tafoya, Cody Reid, Stephanie Eaton, Kate Schartel Novak, Shelda Kirkland, Karin Webb, Proximity Learning. PD slideshow for teachers featuring quick turnkey activities for immediate use in the classroom as well as turnkey yet customizable Canvas course modules specific to elementary, middle level, and high school students. 

Artificial Intelligence in High School: Celso Rodríguez, Karl Chavez, Sheila Escobedo, Betzabe Orenos, and Viviana Fernández, Colegio Decroly Americano. Our project includes four activities that can be applied in different subject areas in HIgh School to integrate AI instruction using a variety of resources that are already set up for you. 


Exploring Artificial Intelligence: Lori Steinhauser, Paige Besthoff, Regina Nadbielny, Allyson Smith, Orange/Essex. The middle/high school Google slides Presentation What is AI? can be used in a STEM, CS, or technology with students from 8th through 12th grade. All three lessons meet the NJ State Standards for the Impact of Computing and Computing Systems. 

Machine Learning and The Curious Incident of the Dog in the Nighttime: Michele Carlisle, Erin Warne, Nic Brown, Wendy Hanasky, East Central Ohio ESC. Using the book, The Curious Incident of the Dog at Nighttime, by Mark Haddon, students will explore the topic of artificial intelligence to determine the ways in which AI can be applied in real life. 

Should Humans Continue to Use and Develop Artificial Intelligence? Melissa Ashton, Lizann Herrera, Jennifer Matthews, Jeremy Roy, Katie Ventura, Josh Simondet, Puyallup School District. The project begins with a discussion asking, "Should Humans Continue to Use and Develop Artificial Intelligence". AI is explored further looking at the different parts of AI and then an exploration of machine learning. The project concludes with students expressing their conclusions about if humans should continue to use and develop AI.


TRAIN, ATTAIN, SUSTAIN: Exploring how AI impacts and forms our experiences today, tomorrow, and in the future: Lisa Blank, Jamie Lee, Tara Elmer, Watertown City School District. TRAIN, ATTAIN, SUSTAIN reflects the importance of training our students about artificial intelligence and its impacts in our world.  Our goal is for a basic understanding of artificial intelligence and related concepts to be attained by all students. Lessons for grades 2-12 explore how AI impacts and forms our experiences today, tomorrow, and in the future. 


Adults


The AI Quartet: Exposure No. 1 in CS Major, 4K 12: Leighton Redditt, Angela DeHart, Noora Aabed, STEM Impressionists. Our capstone project walks students through simplified hands-on activities that excite them about the range of uses the field has to offer. Whether creating their own machine learning model or a chatbot, students participating in a CS or FACS class gain the technical skills needed to train a computer to analyze data, and output desired results. 

An Ethical Approach to AI in Education: Lisa Tafoya, Cody Reid, Stephanie Eaton, Kate Schartel Novak, Shelda Kirkland, Karin Webb, Proximity Learning. PD slideshow for teachers featuring quick turnkey activities for immediate use in the classroom as well as turnkey yet customizable Canvas course modules specific to elementary, middle level, and high school students. 

Why AI Matters an ISTE AI Capstone Project: Matthew Ketchum, Joseph Mesa, Brandon Chism, S. Lavit, Modesto City Schools. A project that  focuses on creating an adult learning experience that includes: What AI is, it's implications in and outside of the classroom, the importance of AI instruction, teaching strategies, curriculum goals, and lesson plan ideas. (View presentation here.)


Sample Capstone Projects, Year 4

Grades K-5 

AI Introduction via Seesaw Platform for Students:  Julie Myers, Tina D'Andrea, Nicole McKelvey, and Michael Sherman, Saline/Washtenaw County. Our team used the AI resources provided by ISTE to create four engaging lessons in Seesaw. 

AI and Machine Learning for 5th Graders: Amanda Bailey, Matthew Blacker, and Rasahn McCombs, Crescent Academy. The 6E lesson plan linked here is a brief description of how we plan to teach AI and ML to 5th grade students as it relates to Computer Science.

AI in K12: Concepts, Creation, & Ethics: Eric Folks, Michelle Vogl, Sara Richards, and Beth Peacock, Round Rock ISD. We created three artifacts that work in coordination to provide upper elementary students an opportunity to become more familiar with Artificial Intelligence, explore different chatbots in order to create their own chatbot, and understand and address ethical challenges related to AI.  

AI in the Indiana Uplands for Students & Teachers: Jeri Brown, Brad Zellner, Anna Westfall, and Apryl Kidd, Indiana Schools. This project showcases lessons or activities that provide experiences and knowledge for students and teachers to learn about AI in engaging and exciting ways. (Also used in Grades 6-8, 9-12, and with Adults.)

Applications of Artificial Intelligence & Machine Learning (Presentation slides): Deepika Srivastava, Vitaliy Orlov, Ruth Thompson , Joshua Barnor, and Allen Thoe, Redlands Unified School District. A project grounded in “Equality through Equity” that aims to provide learning experiences in Artificial Intelligence to all K-12 students integrated across curriculum during school, in extended day learning, and  summer academy to close the opportunity gap. (Also used in Grades 6-8, 9-12, and with Adults.)

Introducing AI Image Recognition to Elementary Students:  Sonny Rodriguez, Chris Giampietro, James Byrne, Kelly Powers, and Stephanie Fitzpatrick, District 10/Bronx, NY. As students engage in a unit that examines animal traits and students practice identifying specific types of animals (mammals, amphibians, birds, etc.), they will be introduced to the role that Artificial Intelligence may play in science. (Also used for Adults.)

Intro to Artificial Intelligence HyperDoc: Joanna Sargent, Kerry Ensberg, and Sarah Patterson, Garden Road Elementary School. Students will achieve a basic understanding of AI after completing a HyperDoc that includes the following stages: Discover, Explore, Apply, Share, and Extend. (Also used in Grades 6-8.)

Machine Learning:  Christine Moore, Thomas Bunce, and Linda Martell, Galveston ISD. An interactive tool students would use to supplement the introduction of machine learning and AI. (Also used in Grades 6-8.)

Wellness AI: Krisha Kerr Poole, Joyce Conrad, Amelia Thorne, Jessica Delgado, Ramon Lopez, and Therese Phillips, North Monterey Unified School District. Our project was intended to give students across all grade levels the ability to process social emotional wellness through an app.  This project used the design process to automate ways for students to be able to process emotions.  This was meant to work for all grade levels. (Also used in Grades 6-8, 9-12, and with Adults.)  


Grades 6-8

AI in the Indiana Uplands for Students & Teachers: Jeri Brown, Brad Zellner, Anna Westfall, and Apryl Kidd, Indiana Schools. This project showcases lessons or activities that provide experiences and knowledge for students and teachers to learn about AI in engaging and exciting ways. (Also used in Grades 3-5, 9-12, and with Adults.)

Applications of Artificial Intelligence & Machine Learning (Presentation slides): Deepika Srivastava, Vitaliy Orlov, Ruth Thompson , Joshua Barnor, and Allen Thoe, Redlands Unified School District. A project grounded in “Equality through Equity” that aims to provide learning experiences in Artificial Intelligence to all K-12 students integrated across curriculum during school, in extended day learning, and  summer academy to close the opportunity gap. (Also used in Grades 3-5, 9-12, and with Adults.)

Digital Design - Intro to Artificial Intelligence: Anthony Russo, Charlotte Latin School. This interactive infographic can be used by digital design teachers to introduce artificial intelligence topics and tools to students. It provides an overview of AI topics and tools, links to videos that support AI topics covered,  and assessments and challenges for students to complete.  (Also used in Grades 9-12, and with Adults.)

Intro to Artificial Intelligence HyperDoc: Joanna Sargent, Kerry Ensberg, and Sarah Patterson, Garden Road Elementary School. Students will achieve a basic understanding of AI after completing a HyperDoc that includes the following stages: Discover, Explore, Apply, Share, and Extend. (Also used in Grades K-5.)

Machine Learning:  Christine Moore, Thomas Bunce, and Linda Martell, Galveston ISD. An interactive tool students would use to supplement the introduction of machine learning and AI. (Also used in Grades 3-5.)

Natural Language Processing and Alexa using Kindle App: Tasneem Feroz Babrawala, Ayesha Maniya, and Zoya Maaez, Karachi American School. The main objective of this lesson is for students to understand NLP using 5 steps (i.e., when human speaks, device activates, device translates it to correct pronunciation and executes an action, and if required provides feedback in human language) For this purpose students will be using Alexa blueprints to practice conversation skills so that they can read the article with fluency. 

Wellness AI: Krisha Kerr Poole, Joyce Conrad, Amelia Thorne, Jessica Delgado, Ramon Lopez, and Therese Phillips, North Monterey Unified School District. Our project was intended to give students across all grade levels the ability to process social emotional wellness through an app.  This project used the design process to automate ways for students to be able to process emotions.  This was meant to work for all grade levels. (Also used in Grades K-5, 9-12, and with Adults.)  

Grades 9-12

AI in the Indiana Uplands for Students & Teachers: Jeri Brown, Brad Zellner, Anna Westfall, and Apryl Kidd, Indiana Schools. This project showcases lessons or activities that provide experiences and knowledge for students and teachers to learn about AI in engaging and exciting ways. (Also used in Grades 3-5, 6-8, and with Adults.)

Applications of Artificial Intelligence & Machine Learning (Presentation slides): Deepika Srivastava, Vitaliy Orlov, Ruth Thompson , Joshua Barnor, and Allen Thoe, Redlands Unified School District. A project grounded in “Equality through Equity” that aims to provide learning experiences in Artificial Intelligence to all K-12 students integrated across curriculum during school, in extended day learning, and  summer academy to close the opportunity gap. (Also used in Grades 3-5, 6-8, and with Adults.)

Digital Design - Intro to Artificial Intelligence: Anthony Russo, Charlotte Latin School. This interactive infographic can be used by digital design teachers to introduce artificial intelligence topics and tools to students. It provides an overview of AI topics and tools, links to videos that support AI topics covered,  and assessments and challenges for students to complete.  (Also used in Grades 6-8, and with Adults.)

Wellness AI: Krisha Kerr Poole, Joyce Conrad, Amelia Thorne, Jessica Delgado, Ramon Lopez, and Therese Phillips, North Monterey Unified School District. Our project was intended to give students across all grade levels the ability to process social emotional wellness through an app.  This project used the design process to automate ways for students to be able to process emotions.  This was meant to work for all grade levels. (Also used in Grades K-5, 6-8, and with Adults.)  


Adults

AI & Education: How AI Can Impact Education: Betty Nordengren, Danielle DeChristopher, and Angela Anthony, Benjamin School District 25. The goal of the PD experience is to inform and instruct all K-8 district staff on the relevance of AI in schools and our society, to give them some experience playing with AI tools, to suggest ways to use AI to support students, and provide a resource list to get started using AI in the classrooms. 

AI in the Indiana Uplands for Students & Teachers: Jeri Brown, Brad Zellner, Anna Westfall, and Apryl Kidd, Indiana Schools. This project showcases lessons or activities that provide experiences and knowledge for students and teachers to learn about AI in engaging and exciting ways. (Also used in Grades 3-5, 6-8, and 9-12.)

Applications of Artificial Intelligence & Machine Learning (Presentation slides): Deepika Srivastava, Vitaliy Orlov, Ruth Thompson , Joshua Barnor, and Allen Thoe, Redlands Unified School District. A project grounded in “Equality through Equity” that aims to provide learning experiences in Artificial Intelligence to all K-12 students integrated across curriculum during school, in extended day learning, and  summer academy to close the opportunity gap. (Also used in Grades 3-5, 6-8, and 9-12.)

Artificial Intelligence: Supporting Teachers: Sara Madgey, Kate Flint, Josh Waller, Christy Etchison, Aisha Bryant, and Robyn Little, McDonogh School. Our team worked together to create a Canvas module for Pre-K to 12 educators on what AI is, neural networks, data mining, and Google Trends. 

AI to Inform Planning and Instruction: Curt Landon, Luis Barbosa, and Sophany Tibke, Chandler Unified School District. This presentation provides an introduction to AI as well as resources and ideas  about how AI can be used to enhance and improve teaching. Topics unclude: Introduction to AI/ Basics of AI; Data Mining; AI for personalized learning; AI for collaborative learning. 

An Introduction to AI/Machine Learning through Fossil Shark Identification: Megan Ennes, Bruce MacFadden, Brian Abramowitz, Stephanie Killingsworth, University of Florida. This project introduces teachers of grades 3-5 and 6-8 to the basics of AI and fossilized shark teeth shape. These images are used to classify large data sets of cutting and grasping teeth and to identify sharks by their teeth alone. 

Digital Design - Intro to Artificial Intelligence: Anthony Russo, Charlotte Latin School. This interactive infographic can be used by digital design teachers to introduce artificial intelligence topics and tools to students. It provides an overview of AI topics and tools, links to videos that support AI topics covered,  and assessments and challenges for students to complete.  (Also used in Grades 6-8 and 9-12.)

Intro to Chat Bots: Adelaide Doyle-Nichols, Manisha Javeri, Pearl Chen, and Benjamin Emihovich, Cal State LA Charter College of Education. The Intro to Chat Bots was designed for higher education students pursuing their MA in Educational Technology or teacher candidates clearing their credential.  The live Nearpod presentation along with the embedded articles, poll, links, video with question and tutorials help students understand what chat bots are and how to create their own for use in  K-12 or higher education settings. 

Introducing Artificial Intelligence, (Student Assignment sample): James Emley, Amy Adams, Sandra Cuautle Herrera, Rohya Prudhomme, Jamie Galgana, and Renee Sanchez, Los Angeles Unified School District. This is a new professional learning opportunity whereby teachers will gain an understanding of AI, engage in activities to introduce AI concepts and reflect on the implications of Artificial Intelligence in regard to ethics, access and equity for all. This professional learning is a total of four hours: 2 hours of synchronous session and 2 hours of asynchronous session. 

Introducing AI Image Recognition to Elementary Students:  Sonny Rodriguez, Chris Giampietro, James Byrne, Kelly Powers, and Stephanie Fitzpatrick, District 10/Bronx, NY. As students engage in a unit that examines animal traits and students practice identifying specific types of animals (mammals, amphibians, birds, etc.), they will be introduced to the role that Artificial Intelligence may play in science. (Also used in Grades 3-5.)

Nebraska ESUCC Artificial Intelligence Project: Nick Ziegler, Craig Hicks, Lori Biesecker, Ben Hanika, and Andrew Easton, the Nebrasks ESUCC. This site has been created to support educators who may be learning for the first time about the role artificial intelligence can play in education. As an onboarding resource, the site presents a broad overview of this topic, while also valuing brevity. For those interested in a deeper understanding, our team has embedded a number of our favorite resources for anyone interested in learning more. 

Wellness AI: Krisha Kerr Poole, Joyce Conrad, Amelia Thorne, Jessica Delgado, Ramon Lopez, and Therese Phillips, North Monterey Unified School District. Our project was intended to give students across all grade levels the ability to process social emotional wellness through an app.  This project used the design process to automate ways for students to be able to process emotions.  This was meant to work for all grade levels. (Also used in Grades K-5, 6-8, and 9-12.)  


Sample Capstone Projects, Year 3

Grades K-5 

AI with Yoga: Priscila Fojan, Stefanie Hebden, Jill Hill, Jeremy Letkiewicz, and Kimberly Logie-Bates, Royal Oak Schools. This project uses Teachable Machine (or a similar tool) to create an Elementary SEL lesson in which students learn yoga poses and the train an AI to learn a pose.

The Chatbot Challenge: Rick Lapi, Candace Meshey, and Rachel Sebastian, Governor Mifflin School District. The Chatbot Challenge guides students through an exploration of chatbots and use of an expert system diagram to create code within the Scratch platform. 

K-5 AI Explorations: Lee Cook, Amanda Grudzien, Kaitlin Snow, Sarah Peterson, and Ashley Young, CUSD 200 Wheaton-Warrenville . This website offers a scope and sequence of activities designed to introduce Artificial Intelligence to students in grades K-5. 

Grades 6-8

Artificial Intelligence: WebQuest to the Future: Regina Lee, Matt Reardon, and Teresa Blizman-Schmitt, Vernon Public Schools. This project is designed for students to complete a WebQuest that offers an overview of AI and how it will impact their lives. 

Exploring Chatbots HyperDoc:  Sharon Casadei, Elizabeth Hoffner, and Tina Schmidt, Archdiocese of Philadelphia. This hyperdoc introduces students to Artificial Intelligence and teaches them to create their own chatbot. 

Using Data for Product Development: Erin Lopez, Morgan Malkowski, Michael Provenzano, and Laura Rytych, Round Lake Area Schools D116. This project provides a cross-curricular, project-based activity for eighth grade students in Business Tech and STEM classes.  

Grades 9-12

Adults

An AI Roadmap: An Introduction to Artificial Intelligence: Clarissa Burton, Meghen Ehrich, Renee Henderson, Monica Jenkins, Kimberly Roberson, MaryAnn Santos, and Sarah Thomas, Prince George's County Public Schools. An introduction to AI for adults that can be offered face-to-face, online, or in a hybrid model.

Artificial Intelligence Across the K12 Curriculum: Andre Chmielewski, Samantha Cruz, Leonard Fischer, Ariel Jespersen, Taylor Niss, and Alex Podchaski, North Broward Preparatory School. An cross-disciplinary exploration of the concepts of Artificial Intelligence offering activities across PK-12 grade levels. 

Artificial Intelligence in Education: a Digital Timeline: Kelley Briceno, Dawn Jones, and Carolina Seiden, Saint Andrew's School. An interactive timeline of important developments in AI over time. 

Sample Capstone Projects, Year 2

Grades K-5

Grades 6-8

Grades 9-12

Adults