AI Tutors for Schools

Artificial intelligence (AI) has been making strides in various sectors, and education is no exception. The introduction of AI tutors for schools aims to revolutionise the learning experience by providing personalised guidance to students. These AI-driven tools utilise advanced algorithms and machine learning to adapt to each individual’s learning pace, strengths, and weaknesses, offering targeted support and helping students reach their full potential.

In recent years, AI has become an increasingly popular topic as its applications have influenced various industries, from healthcare to finance. Education is a natural fit for this rapidly evolving technology, as AI can analyse large amounts of data to create personalised learning experiences. By identifying the needs of students and adjusting their support accordingly, AI tutors can enhance traditional classroom learning and assist teachers in addressing individual students’ requirements.

As the use of AI tutors in schools becomes more prevalent, it is essential to recognise the potential benefits and challenges associated with incorporating this technology into the education system. While AI tutors can deliver tailored instruction and improve learning outcomes, their implementation also raises concerns about students’ reliance on technology and the potential loss of human interaction in the learning process. However, despite these issues, AI tutors demonstrate the growing role that artificial intelligence plays in shaping the future of education.

AI Tutors in Education

AI tutors are becoming increasingly popular in both K-12 and higher education settings. Schools have started to integrate AI-based tutoring systems to supplement traditional teaching methods, aiming to provide personalised learning experiences for students.

One compelling aspect of AI tutors is their ability to efficiently summarise information and offer tailored lessons for smaller groups or online classes. In this way, AI tutors serve to augment teachers’ skills rather than replace them. By implementing AI-supported technology, schools report reduced workloads for educators while presenting additional learning resources for students.

Such AI-driven tools, like Google’s interactive AI tutor platform, can deliver personalised feedback, assignments, and guidance to students. This level of individual attention can enhance the learning experience, catering to diverse learning styles and needs. Teachers also benefit from these tools as they offer better insight into each student’s progress, allowing for more informed and effective teaching strategies.

Higher education institutions are increasingly investing in AI tutoring systems, as they recognise their potential for increased accessibility and versatility. AI tutors can provide support and guidance in more complex fields, such as science, technology, engineering, and mathematics (STEM), by breaking down and simplifying concepts. This enables learners to grasp more challenging subjects, stimulating intellectual growth and promoting academic success.

Furthermore, AI tutoring bots have been trialled in classrooms, like Cheryl Drakeford’s third-grade class in Newark using Khanmigo. These bots leverage AI capabilities to address individual questions and provide targeted assistance. Collaborations between educational organisations and research institutions like Saga Education and the University of Colorado Boulder can also help develop AI-assisted tutoring to offer improved feedback to tutors and enhance the overall learning experience.

As AI tutors gain traction within educational environments, the future of learning may shift towards personalised approaches tailored to each student’s unique needs and abilities, with AI playing a key supportive role for both students and teachers.

Role of AI Tutors in Teaching

AI tutors are gradually transforming the educational landscape by offering innovative solutions and personalised learning experiences. This section delves into the key roles that AI tutors play in modern teaching.

Lesson Delivery

AI-powered systems offer dynamic teaching methods, providing students with easily accessible and adaptive lesson plans. By incorporating technology in the classroom, educators can create a more engaging learning environment for students. AI tutors enable the delivery of interactive lessons, including multimedia content, quizzes, and simulations, all tailored to each student’s learning style.

Assessment and Feedback

Grading can be a time-consuming task for educators. AI tutors can automate the assessment process for many types of assignments, including multiple-choice and fill-in-the-blank questions. By doing so, teachers have more time to focus on individual student needs, class preparations, and their professional development. Furthermore, AI tutors can provide instant feedback, helping students understand their mistakes and improve upon them.

Monitoring Student Progress

Understanding student progress is crucial to ensure their academic success. AI tutors can effectively track and monitor students’ performance, analysing data to identify patterns and areas requiring improvement. Teachers can then use this information to provide personalised support and adjust their teaching approach accordingly.

Individualised Learning

One of the most significant advantages of AI tutors is their ability to provide individualised learning experiences. They can adapt their teaching methods and content based on each student’s preferences, strengths, and weaknesses. This personalised approach ensures students receive targeted support and resources to enhance their understanding of the subject matter, ultimately improving their overall academic performance.

AI Tutor Platforms and Applications

Artificial Intelligence (AI) tutors have gained prominence in recent years, with many platforms and applications emerging to improve students’ learning experiences. This section will discuss three key applications within the educational landscape: Khan Academy and Khanmigo, ChatGPT, and Intelligent Tutoring Systems.

Khan Academy and Khanmigo

Khan Academy is a popular online learning platform offering courses in various subjects, especially focusing on Science, Technology, Engineering, and Mathematics (STEM) fields. The platform has been working on incorporating AI technologies, such as Khanmigo, an AI-assisted tutoring bot deployed in classrooms to enhance learning experiences. With Khanmigo, students can receive personalised assistance and feedback in real-time, leading to better understanding and retention of knowledge.


ChatGPT is another AI-driven platform that leverages advanced language models to better comprehend and engage in human-like conversations with learners. As a result, it can provide students with instant, contextualised responses, and guidance. ChatGPT can also adapt its teaching methodologies to match each student’s individual learning preferences. By utilising this technology, educators can offer personalised, immersive learning experiences to their students, helping them grasp complex concepts more efficiently.

Intelligent Tutoring Systems

Lastly, Intelligent Tutoring Systems (ITS) are a class of AI tutors that emulate human tutors’ behaviour, utilising advanced algorithms and machine learning techniques to tailor teaching approaches for each student. These systems can identify learner strengths and weaknesses, adapt content delivery, and provide real-time feedback. An ITS often includes chatbots, enabling natural language interactions with students, which fosters an engaging learning environment.

In conclusion, AI tutor platforms and applications have demonstrated great potential in enriching students’ learning experiences. Platforms like Khan Academy and Khanmigo, ChatGPT, and Intelligent Tutoring Systems can transform the educational landscape by offering personalised, efficient, and engaging lessons to students across various subjects.

Using AI for Analytics and Guidance

Artificial Intelligence (AI) has the potential to significantly enhance educational experiences by offering personalised analytics and guidance for students and teachers. The integration of AI tools within the educational domain can lead to improved decision-making and resource allocation, ultimately facilitating a more targeted and efficient learning experience.

One major application of AI in education is learning analytics. Data mining techniques and machine learning algorithms can be employed to analyse students’ behavioural patterns, identify areas of strength and weakness, and provide personalised recommendations. This level of personalisation allows educators to be better informed and equipped to make instructional adjustments tailored to individual students’ needs, thereby maximising the learning potential of each student.

Aside from student performance analysis, AI can also serve as a guidance tool. AI-powered chatbots can be used to deliver 24/7 support to students, answering their queries, and providing guidance on assignments, study materials, and other educational resources. These virtual assistants can also be programmed to give timely reminders and feedback, encouraging self-paced learning and greater accountability among students.

Moreover, AI can optimise resource allocation by identifying the most relevant and effective educational resources for each student, based on their learning styles and preferences. This streamlines content delivery, ensuring that students receive the best possible resources tailored to their specific needs, ultimately leading to a more engaging and immersive learning experience.

In summary, the use of AI for analytics and guidance in education empowers both educators and students with the necessary tools and insights to make informed decisions, optimise learning, and streamline the access to relevant resources. As the technology continues to advance, AI’s impact on education is expected to become increasingly profound, offering new opportunities for personalised learning and development.

Ethical Considerations

Cheating and Plagiarism

AI tutors for schools have the potential to revolutionise education, offering personalised learning experiences to students. However, they also introduce a number of ethical considerations, including the risks of cheating and plagiarism. With access to AI-generated content, students may be tempted to use AI-generated text or assistance in their assignments, bypassing the traditional learning process. Schools need to develop policies that clearly define what constitutes cheating and plagiarism in the context of AI tutors and ensure they have measures in place to prevent and detect such activities.

Data Privacy

Data privacy is another crucial ethical issue that must be addressed when implementing AI tutors in schools. AI-based educational systems often collect vast amounts of data on learners, including their learning patterns, preferences, and personal information. This information can potentially be misused or exposed to unauthorised parties, leading to breaches of privacy and potentially negatively affecting children’s safety.

Schools must ensure rigorous data protection precautions are in place to protect student information from data breaches and ensure compliance with relevant privacy regulations. This includes transparently informing students and parents about the usage of data by AI tutors, explicating how collected data contributes to personalised learning experiences, and obtaining explicit consent for data collection and usage.

AI in Subject-Specific Domains

Artificial intelligence (AI) has significantly impacted various aspects of education. The integration of AI tutors in subject-specific domains has shown promising results. In this section, we will explore four key areas where AI tutors have been employed: STEM Education, Writing, Critical Thinking, and Math.

STEM Education

AI tutors play a vital role in enhancing science, technology, engineering, and mathematics (STEM) education. These intelligent systems provide personalised learning experiences, tailoring lessons to individual student needs. Furthermore, they enable students to:

  • Receive immediate feedback on their performance
  • Engage with simulations and gamifications for a better understanding of complex concepts
  • Efficiently manage their time and resources with adaptive assessments and optimised learning paths

Leveraging AI technology in STEM education helps to maintain students’ interest while ensuring a highly effective and efficient learning experience.


Writing is an essential skill that crosses all disciplines, and AI tutors can significantly support the development of students’ writing abilities. AI-based writing support tools offer:

  • Grammar and spelling corrections
  • Style and tone suggestions
  • Identifying instances of plagiarism

These AI tutors utilise natural language processing (NLP) techniques to interact with students and provide targeted feedback, helping them improve their writing skills and fostering a better understanding of language mechanics.

Critical Thinking

Critical thinking is a highly valued skill in academia and the professional world. AI tutors can assist in nurturing critical thinking skills in students by:

  • Evaluating their problem-solving approaches
  • Presenting challenging scenarios
  • Facilitating discussions and debates using AI-powered chatbots or virtual classrooms

AI can track students’ progress and adapt content to ensure they are continuously challenged, spurring the development of critical thinking abilities.


Mathematics has always posed unique challenges for students, but AI tutors have exhibited growing success in this area. They can help students improve their math skills by:

  • Offering step-by-step guidance on solving problems
  • Identifying and addressing gaps in a student’s knowledge
  • Providing personalised exercises based on their progress

By tracking individual learning paths, AI-enabled math tutors can significantly boost a student’s confidence and understanding in mathematical concepts.

The Future of AI Tutors in Education

As technology continues to advance, AI tutors are becoming an increasingly important tool in education. These intelligent systems have the potential to revolutionise teaching and learning, providing personalised support and enabling more efficient use of educational resources.

One key area where AI tutors can make a significant impact is in accessibility. With more students studying remotely, adult learners requiring support at odd hours, and staff shortages becoming a common challenge, AI tutors can help bridge the gap. By offering round-the-clock assistance and tailoring their approach to individual learners, these systems can ensure that no student is left behind.

Intelligent tutoring systems have already demonstrated their effectiveness in teaching specific subjects such as algebra and grammar, thanks to research carried out by institutions like Carnegie Mellon University. The development of these systems is becoming increasingly streamlined, as researchers find new ways to teach computers how to teach.

AI tutors can also support teachers by providing valuable feedback on their performance, helping them to refine their craft and become more effective educators. This personalised support can help teachers achieve a deeper understanding of their students’ needs and tailor their instruction accordingly.

Furthermore, AI tutors have the potential to make education more inclusive for students who require additional support, such as those with special educational needs or language barriers. By offering tailored learning resources and scaffolding strategies, these systems can ensure that every student has access to an engaging and effective learning experience.

In conclusion, the future of AI tutors in education looks bright, with the potential to transform teaching and learning and make it more accessible and personalised for all students. As research advances and the adoption of these technologies become more widespread, we can expect to see AI tutors playing an even more critical role in education for years to come.