AI in Education: Use Cases & Responsible AI Policy
- Zack Arnold
- Aug 29
- 4 min read
Artificial intelligence (AI) is transforming the future of education as we know it, introducing new and innovative ways for teachers to provide knowledge to students through emerging software. About 60% of teachers report using AI in their classrooms, embracing the possibilities that can come from adapting to these new technologies.
There are a variety of ways that AI can be implemented into educational settings in order to improve productivity, efficiency, and tailor lessons to each student based on their own learning pace. However, as with any AI implementation, responsible and ethical usage must be kept in mind, especially when young minds are involved. In this blog we will be discussing recent studies of AI use cases in education as well as delving into a Responsible Use Framework for AI in education created by the Center for Innovation, Design, and Digital Learning (CIDDL).
Personalized AI Teaching Software
In Maryland, one school in particular had a pilot program where a new AI software was tested out. This was known as the Future Think Edge summer program at City Springs Elementary School, and the AI was developed by Brandon Phillips, Future Think Hub Founder. The AI is designed to learn about a specific student and help teach them different subjects based on their own personal needs and preferences. In a traditional teaching setting, some students might not be able to experience personalized learning the way that AI software now enables them to, helping them to reach their full potential in the classroom.
AI software like this one does not replace human teachers, who are still there to teach and guide students on their learning journey. However, students can now consult their AI teacher to expand on additional questions or concerns about the lesson material. Not only is this assisting students in their present day education, but it is preparing them for a future where technology like this in the classroom and any career could very well become commonplace.
Solving Problems & Improving Productivity
Several studies have been conducted to examine how teachers utilize AI tools in their work. One of these studies is of educator-designed AI pilots in California, which found that the majority of teachers and educators utilize AI for solving specific problems, rather than just simply improving efficiency. Improving student behavior is a specific problem that Gilroy Prep was looking to tackle with an AI-enabled app that can create a restorative activity based on a variety of factors including the description and severity of an incident that would require discipline, the grade and reading level of the students involved, the behavioral goals desired to be taught, and the allotted time for the activity. In addition, the app will also generate a letter for parents about what had occurred and how they can continue the restorative lesson outside of the classroom. This is all done with continued influence from teachers, as important actions like these will always require a human-in-the-loop.
Another study by Stanford University generated findings of AI usage by educators based on how often they used the AI platform SchoolAI, which offers student-facing chatbots, teacher productivity tools, grading aids and quiz builders, and teacher chatbot assistants. The results of this study showed that teachers only used AI on an as-needed basis rather than as a part of their daily workflows. Many teachers that use SchoolAI only a little bit seem to utilize the student-facing chatbots, while those that use it more tend to gravitate towards teacher productivity tools like lesson planners.
Framework for Responsible AI in Education
With all of the different uses of AI that educators are exploring in their classrooms, it is important to remember to adhere to guidelines for responsible AI use. The Center for Innovation, Design, and Digital Learning (CIDDL) developed a responsible use framework for AI in PreK-20 education in order to guide educators in ensuring that AI tools are used for the betterment of the students and their future. Here are some of the highlights:
Establish a Human-Centered Foundation: This first part of the responsible use framework emphasizes the importance of human-centered design in AI. It lists factors like listening to feedback from educators, avoiding overreliance on automated decisions that affect students, providing transparency and oversight, and ensuring compliance with student protection laws. These are key ideals to follow when it comes to utilizing AI in an educational setting, where the number one priority is the safety of students and their learning potential.
Implement Strategic Planning: This is all about having an AI task force and thorough risk analysis assessments. With AI integration into education, it is important to not only prepare but also to look towards the future of how AI will exist for the betterment of the students. A proper plan should always be in place when it comes to AI implementations, one prepared by a team consisting of AI-literate educators, administrators, families, legal advisors, and specialists in instructional technology and special education.
Ensure AI Educational Opportunities: Each student should be able to benefit from AI integrations, meaning there should be several accessibility options for students to choose from should they require them. There should be support for feedback mechanisms, where educators can gain student and parent feedback on AI educational experiences.
Conduct Ongoing Evaluation & Development: There should be continuous review and updates of AI tools and systems that are integrated into educational environments. This can also ensure the application of any feedback or terms of service changes that would require reworking of any part of the software. Ongoing Professional Development is also crucial, and AI training should include all teachers, staff, paraprofessionals, instructional aides, and specialists.
AI in education has great potential when used responsibly, and the above framework does a great job in listing important factors that go into AI integration in the classroom. There are many different ways that educators can reap the benefits of AI and do so for the betterment of their students’ education and their future.
Contact us at info@sednacg.com to talk to one of our AI experts and learn more about Sedna’s experience in the education sector.
"Change is the end result of all true learning.”
– Leo Buscaglia, Author & Motivational Speaker
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The role of AI in education is rapidly expanding, offering new ways to personalize learning, automate administrative tasks, and provide data-driven insights for teachers. However, the real value lies in adopting these tools responsibly. With the support of AI consultancy services, schools and universities can identify practical use cases, from adaptive learning platforms to intelligent tutoring systems. An artificial intelligency consultancy ensures these technologies are integrated ethically and in line with privacy standards. By leveraging Artificial Intelligence Consulting Services, institutions can craft a roadmap for sustainable adoption. Working with a Microsoft AI Partner Consultancy also provides access to trusted AI platforms, enabling educators to balance innovation with accountability while preparing students for a technology-driven future.