How is AI redesigning education?
Main AI Platforms
Research And Articles Referenced
Practicing Prompts Part 1 Resources
Machine Learning Exploration
Swimming: Teachable Machines
AI Snapshot - 180 Conversations
Is It Cheating?
Teaching Resources
Position and Policy
Resources and Prompts for Planning, Position and Policy Work Time
Goals:
1) Prioritize steps for professional learning that introduces staff to key ideas and emerging guidance and/or
2) Prioritize steps for communicating about AI with students and parents
Guidelines for Acceptable Use (ethics and policy vs. procedure) and applying guidelines to policies and procedures (exploring meaningful consequences for misuse)
Prioritize steps for professional learning that introduces staff to key ideas and emerging guidance
Prioritize steps for communicating about AI with students and parents
Additional Resources To Support And Guide(dropdown menu)
AI For Education Curriculum - Lesson 4 Co-Creating An AI Policy is a lesson plan to bring in student voice, but this format would also work great for leadership and faculty teams.
The Sentient Syllabus Project - The Sentient Syllabus Project is a public-good collaborative to enrich the discussion and create practical resources as we transit into an era of digital thought.
Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning
Developing Our Shared Compass: A Guide for Conversations on AI and Values by John Nash
Illuminating the Path: Co-Constructing an AI Policy for Education
Kahoot vs. AI: Polar Opposites in Education and the Need for a Shift Towards AI Literacy
Policy-driven discussion
How should we adapt our policies and teaching methods to keep up with the rapidly evolving AI landscape?
What should and shouldn’t be acceptable to use as administrators, faculty, staff, and students at the:
Institutional level
Divisional level
Department level
Course level
Assignment level
How should we explain appropriate use of GenAI tools?
What types of assignments and assessments can be AI assisted with approval and which ones should be completed without GenAI?
How should we explain the tracking and citing of GenAI?
What are our guidelines on expectations for students AND eduator to cite use of GenAI for content and work?
Do you require students to cite parents, tutors, spell-check, Grammarly?
How do we address data privacy and security?
What data is off limits and should not be shared with GenAI tools?
Crafting a Position on "Cheating" and "Plagiarism"
Step 1: Read the school handbook policy on cheating.
The first step is to read the school handbook policy on cheating carefully. This will give you a good understanding of what the school considers to be cheating, as well as the consequences for cheating.
Step 2: Review the two resources.
The next step is to review the two resources you provided. These resources provide information about how artificial intelligence (AI) can be used to detect cheating.
Thought Nugget Reading:
Step 3: Analyze the school handbook policy in light of the AI resources.
Once you have reviewed the school handbook policy and the AI resources, you can begin to analyze the policy in light of the new information. This will help you to determine whether the policy is effective in preventing cheating, and whether it should be updated to reflect the use of AI.
Here are some specific questions you can ask yourself as you analyze the policy:
Does the policy define cheating in a clear and concise way?
Does the policy provide clear consequences for cheating?
Does the policy take into account the use of AI in detecting cheating?
Is the policy updated to reflect the latest trends in cheating?
Step 4: Make recommendations for updating the policy.
Based on your analysis, you may make recommendations for updating the policy. These recommendations should be based on the information you have gathered from the school handbook policy, the AI resources, and your own experience.
Here are some specific recommendations you can make:
Clarify the definition of cheating.
Update the consequences for cheating.
Include language about the use of AI in detecting cheating.
Update the policy to reflect the latest trends in cheating.
AI Policy Framework Research Paper and Questions(Research Paper To Explore And Discuss)
Paper Title: A comprehensive AI policy education framework for university teaching and learning
**Use https://www.chatpdf.com/ to pull out key information from the research paper
KEY FINDINGS:
The study on AI education policy in Hong Kong universities found that there is a need for a comprehensive AI education policy framework that addresses the multifaceted implications of AI integration in university teaching and learning. The study proposes an AI Ecological Education Policy Framework organized into three dimensions: Pedagogical, Governance, and Operational. The Pedagogical dimension focuses on using AI to improve teaching and learning outcomes, while the Governance dimension tackles issues related to privacy, security, and accountability. The Operational dimension addresses matters concerning infrastructure and training. The study also found that there is a need for universities to provide students and teachers with training in AI to ensure that graduates are equipped to contribute to the development of AI and to navigate the ethical, social, and economic issues that are likely to arise as AI becomes more widespread.
FIVE KEY IDEAS:
Develop an AI education policy for universities that teaches students about the ethical considerations surrounding AI, such as bias and fairness, as well as the potential consequences of using AI in academic contexts.
Encourage the development of local innovations in AI for education to ensure that it meets the specific needs of their communities.
Test and evaluate the use of AI in education through pilot projects to build an evidence base for its effectiveness[8].
Prepare students for the AI-driven workplace by teaching them how to use AI responsibly, ethically, and effectively.
Encourage students to use AI as a complementary tool to support learning rather than relying on them as a substitute for traditional teaching methods.
QUESTIONS TO CONSIDER:
– What are the potential benefits and risks associated with AI in academic settings, and how can we ensure that AI is used responsibly and ethically?
– How can we develop an AI education policy framework that addresses the multifaceted implications of AI integration in university teaching and learning?
– How can we ensure that students and teachers are equipped with the necessary skills and knowledge to use AI effectively and responsibly?
– How can we ensure that AI is used to complement traditional teaching methods rather than replacing them?
– How can we evaluate the effectiveness of AI in education through pilot projects and build an evidence base for its use?
– How can we ensure that AI is accessible to all students, regardless of their socioeconomic background?
– How can we ensure that AI is used in a way that respects privacy, security, and accountability?
Exploring Curriculum and Assessment in AI World
Questions to consider on future of curriculum and assessments
How can we help teachers focus on the PURPOSE of the assignment and convey the 'why' to students? How can we prevent the misuse of AI in the education setting, particularly in the context of assessments or assignments?
What are some things we could do to support teachers to help the curriculum evolve in appropriate ways?
What does the future of assessment look like? How can we get there?
How can we ensure that the use of AI doesn't widen the digital divide among students?
Iowa AI Documents
The Why:
The goal for these documents is to help support 80% of our educators as a launching point in conversations around artificial intelligence, knowing that needs will vary.
The Documents Released So Far
Classroom Policies for AI Generative Tools
Practicing AI Education Tools
AI 12 Week Planning
Sample Planning Document For WAM (make a copy for self/team)
RACI Matrix Template(make a copy for self/team)