While the ongoing debate regarding appropriate screen time for children persists among educators, psychologists, and parents, another emerging technology—artificial intelligence (AI) and machine learning—is gradually transforming educational tools and institutions, shaping the future of education. According to the Artificial Intelligence Market in the US Education Sector report, AI in U.S. education is projected to grow by 47.5% from 2017 to 2021. Although experts generally agree on the irreplaceable role of teachers, significant changes are expected in the responsibilities and best practices of educators.

<h2>Collaboration between Teachers and AI</h2>

AI has already made inroads in education, primarily through tools that aid skill development and testing systems. As AI-powered educational solutions continue to advance, the hope is that AI can bridge learning and teaching gaps, empowering schools and teachers to achieve more than ever before. AI can enhance efficiency, personalization, and streamline administrative tasks, thereby granting teachers the freedom and time to provide understanding and adaptability—attributes unique to human capabilities and challenging for machines. By combining the strengths of machines and teachers, the vision for AI in education is one where they work together to achieve the best outcomes for students. As today's students will need to navigate a future where AI is prevalent, it is crucial for educational institutions to expose them to and utilize this technology.

<h2>Differentiated and Individualized Learning</h2>

Adapting learning to suit the specific needs of each student has long been a goal for educators. However, AI offers a level of differentiation that is unattainable for teachers managing large classes. Companies like Content Technologies and Carnegie Learning are currently developing intelligent instructional designs and digital platforms that utilize AI to provide tailored learning experiences, testing, and feedback for students ranging from pre-K to college level. These platforms challenge students at the appropriate level, identify knowledge gaps, and redirect them to new topics when necessary. As AI becomes more sophisticated, it may even be capable of reading a student's facial expressions to detect struggle and modify lessons accordingly. While customizing the curriculum for each student's needs is currently unfeasible, AI-powered machines will make it possible in the future.

<h2>Universal Access for All Students</h2>

Artificial intelligence tools can help make global classrooms accessible to all students, including those who speak different languages or have visual or hearing impairments. Presentation Translator, a free PowerPoint plug-in, provides real-time subtitles for what the teacher is saying. This opens up opportunities for students unable to attend school due to illness or those requiring customized learning experiences on specific subjects not available at their own schools. AI can also break down barriers between schools and traditional grade levels, fostering collaboration and knowledge sharing.

<h2>Automation of Administrative Tasks</h2>

Grading homework and tests consumes a significant amount of an educator's time. AI can automate these tasks swiftly, while also offering recommendations on closing learning gaps. Although machines can already grade multiple-choice tests, they are nearing the capability to assess written responses as well. By automating administrative tasks, AI allows teachers to dedicate more time to individual students. Moreover, there is great potential for AI to enhance efficiency in enrollment and admissions processes.

<h2>Tutoring and Support Beyond the Classroom</h2>

Parents who have struggled to help their teenagers with algebra will appreciate the potential of AI in supporting children with homework or test preparation at home. AI-driven tutoring and study programs are becoming increasingly advanced, catering to diverse learning styles. As a result, they will become more accessible and responsive in the near future.

Numerous other AI applications for education are currently under development, such as AI mentors for learners, the further advancement of smart content, and the use of virtual global conferences as a means of professional development for educators. Although the education sector may be slower in adopting AI and machine learning, these changes are already underway and will continue to evolve.