AI Use in the Classroom: Levels, Education, and Recommendations

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Discover the levels of AI use in the classroom with insights from Dr. Michael Balsamo and Louisa Krause at Macomb Community College. Explore their educational backgrounds, experiences, and AI task force recommendations for next steps. Learn about predictive and generative AI concepts and their applications in educational technology.

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Levels of AI Use in the Classroom Dr. Michael Balsamo Dean of Business, IT, and Culinary Louisa Krause Director of Instructional Innovation & Distance Education Macomb Community College

Introduction Dr. Michael Balsamo Education Education Doctor of Education ( Doctor of Education (Ed.D Ed.D), Administrative Leadership for Teaching & Learning ), Administrative Leadership for Teaching & Learning Walden University Master of Science (MS), Management Master of Science (MS), Management Walsh College Bachelor of Science (BS), Management Bachelor of Science (BS), Management Oakland University Associate of Applied Science (AAS), Construction Technology Associate of Applied Science (AAS), Construction Technology Macomb Community College Experience Experience Dean of Business, Information Technology & Culinary Dean of Business, Information Technology & Culinary- Macomb Community College, 2021-present Dean of Learning Resources Dean of Learning Resources- Macomb Community College, 2011-2021 Adjunct Professor Adjunct Professor - Macomb Community College, 2000-present Adjunct Professor Adjunct Professor Walsh College, 2019-present

Introduction Louisa Krause Education Education Doctoral Student (EdD), Educational Leadership & Professional Practice, Social Justice Leadership Antioch University Master of Education (M.Ed.), Curriculum and Instruction, Integrating Technology George Mason University Bachelor of Science (BS), Elementary Education, Math, and Language Arts Western Michigan University Experience Experience Director of Instructional Innovation & Distance Education - Macomb Community College, 2020-present Interim Dean of Learning Resources - Macomb Community College, 2021-2023 Academic Initiatives & Assessment Coordinator - Macomb Community College, 2018-2020 Curriculum & Assessment Specialist - Macomb Community College, 2017-2018 Math Teacher - 2009-2017

AI at Macomb Community College Taskforce Recommendations Next Steps

Define AI Predictive AI refers to AI generated content based on pattern recognition. Current examples of predictive AI include Quillbot, Microsoft Word, and Grammarly. Generative AI is defined as computational techniques that can generate seemingly new, meaningful content such as text, images, or audio from training data. Current examples of generative AI include ChatGPT, Gemini, Claude, and Dall-E. Adapted from: https://www.teachai.org/toolkit

Using AI Use it yourself Teach students to use it Check accuracy of information Prompt writing Confirm sources

Levels of AI Use Level of AI Use Level of AI Use Immersive Immersive Description Description Sample Syllabus Language Sample Syllabus Language You must use AI tools for this assignment. You will be graded on AI techniques, transparency, fact-checking, and citation. Students are required to use AI and will receive feedback and grading on their use of AI. Permissive Permissive Students can freely utilize AI tools to assist in their assignments, such as generating ideas, proofreading, or organizing content. "You may use AI tools as you see fit to enhance your assignment and demonstrate your understanding of the topic. Proper citation is required." Moderate Moderate Students can use AI tools for specific parts of their assignments, such as brainstorming or initial research, but the core content and conclusions should be the student s original work. "You can employ AI tools to assist your brainstorming or initial research, but the main content, arguments, and conclusions must be your own." Restrictive Restrictive AI tools are prohibited for this assignment. All work must be the student's original creation. "Do not use AI tools for this assignment. All content must be your original work. Any use of AI will be treated as plagiarism and a violation of the Academic Integrity Policy." Adapted from: https://www.teachai.org/toolkit

Restrictive AI A 500-1000 word essay based on the students personal experiences. First assignment in the beginning of the course. Establishes students written voice. Can be used to build upon future assignments. Assignments or a project that requires primary research and qualitative data.

"Are you grading us on this?" What AI skills would you grade students on? What is an example of rubric language you might use for this assignment?

Moderate AI Collect secondary research data for business communications researcher paper. Review and validation of AI sources. Use AI to assist in MLA or APA citation

"Are you grading us on this?" What AI skills would you grade students on? What is an example of rubric language you might use for this assignment?

Permissive AI Having the opportunity to use AI on a group project to have the paper sound like one author. Use Al to cite sources to current APA standards. Original work is submitted along with the AI generated. The AI work is graded.

"Are you grading us on this?" What AI skills would you grade students on? What is an example of rubric language you might use for this assignment?

Immersive AI Prompt development assignments. Analysis of AI generated data. Evaluation and revision of prompts. Revised AI data and analysis. Review and validation of AI sources.

"Are you grading us on this?" What AI skills would you grade students on? What is an example of rubric language you might use for this assignment?

Cautions Bias Over reliance on historical data accuracy issue because of lagging indicators Access issues Multiple AI tools, how accurate are they? How does AI define historical data?