Using AI in the classroom for teachers

AI offers numerous advantages for educators seeking to enhance their teaching practices and improve student outcomes.

• AI-powered tools can automate routine tasks like grading assessments or classroom excercises.  This frees up valuable time for teachers to focus on more meaningful interactions with their students such personalized help, extra support for students with extra learning needs or one-on-one interactions.

  
  

• AI can analyze individual student performance data one  a much arger scale and a lot quicker than the human teacher can. This means we can tailor their learning materials to meet each student's specific needs. This facilitates a personalized learning experience. For example, one student might need to focus on STEM subjects and another on language. On a more specific scale, one student might need help with analysis skills whereas another needs more challenge exercises in maths. This level of personalization has rarely been possible in traditional classrooms.

• AI can help make teachers' jobs easier, from coming up with lesson plans to generating project ideas or creating quizzes. We recommend teachers spend time learning how to write effective prompts to put into free online generative AI tools, such as Open AI's ChatGPT. When the prompt is accurate and effective, it means many tasks in a teachers' daily life can be generated by AI. A good example would be to use generative AI to design a quiz for students as part of their formative assessment. The prompt might read:
  Students have read the following text: XXX. Generate a multiple-choice quiz that asks 5 questions based on the text, relevant for 7 year olds. There should be one correct answer and two incorrect answers.

• According to McKinsey & Company, up to 40% of teachers’ workload can be automated using current AI technologies. This will help combat the teacher shortage which is a global problem. Not only can AI-driven platforms help take the workload off our existing teachers, but it can also provide teachers with personalized recommendations for professional development resources based on their teaching style.  This fosters continuous growth and improvement in the quality of the teachers we have.

  
  

  We've explored the myriad benefits of using AI for teachers, including time-saving tools, personalized learning experiences, and targeted professional development.

Just as AI can benefit teachers, it also holds tremendous potential for enhancing the learning experiences of students.

• AI can adapt learning materials to suit each student's unique learning style and pace, leading to more engaging and effective learning experiences. This is especially useful for students with learning difficulties, which can make the learning process slower. Or students who are naturally gifted in a certain topic or subject. They can be stretched in their learning to reach their potential.

  
  

• Adaptative and personalized AI learning systems have been proven to improve student test performance by 40%. Reaching certain standards and attainments is important for students to progress through their education. It is also beneficial for students' mental health and self-confidence to achieve results.

  
  

• AI-powered assessment tools can provide students with immediate feedback on their work. This enables them to identify areas for improvement and make corrections in real-time. IT also helps eliminate disparities in teacher quality across schools, countries and the world.

  
  

• AI can help students access a wealth of educational resources tailored to their interests and learning objectives.  This is regardless of geographical location or socioeconomic status, helping to reduce regional inequalities.

  
  

• At many higher education institutions, university chatbots support learners' organization by responding to admissions queries, connecting students to course information, and delivering reminders.

  
  

• Intelligent tutoring systems simulate the one-on-one experience of working with a human tutor by giving targeted support to students. This can be made more widely available so students are not limited by cost or availability.

As we embark on integrating AI into educational settings, it's essential to address potential concerns and challenges that may arise along the way.

• One concern is the collection and use of student data by AI systems. It's crucial for educators to ensure that any AI tools used in the classroom adhere to strict privacy regulations to safeguard students' sensitive information. In other words, don't use student data to generate AI content unless you have the authority to do so and try not to put student data into AI systems unless completely necessary.

  
  

• The content that AI generates is based on human-generated inputs, usually from search engines. Therefore, there's a risk that AI may learn from human bias and generate the same. However, the trust that we place in AI and the amount of content is on a much bigger scale and therefore these bias' might become even more prevalent. For example, if you search for a picture of a nurse in an image based generative AI model, it might return a picture of a female. If you search for a picture of a doctor it might return a picture of a male. We should work against perpetuating these bias's.

  
  

• Not everyone has equal access to technology or AI . If we use AI in the classroom to improve student outcomes for some students and not others, then the outcomes of their learning experience might be very different. Schools should work to have technology available for students to use who may not have access to it at home to avoid this divide. It also means that students with access and training in AI are more likely to progress to highly paid careers in the field, widening the digital divide between rich and poor.  

  
  

• Some worry that excessive reliance on AI could lead to a depersonalized learning experience, where students receive less individualized attention and feedback from teachers. This could lead to worsened student outcomes for both educational attainment and mental health.  It can also worsen mental health issues among students as we increasingly spend more time isolated in front of screens and not socializing with others, which we know reduces anxiety and increases mood.

  
  

• AI can generate text, images, and video content that is not true. Deep fakes are videos and images that appear to be real but are partially or completely untrue. This can lead to misinformation and disinformation that students may wrongly believe to be true. We need to educate students about this risk, how to properly reference sources to make a judgment on it's authenticity, and teach them to critically assess everything they see and hear online.

  
  

• Hallucinations are when an AI model perceives patterns or objects that are nonexistent. So instead of returning a non-result if it does not know the answer, it creates fake or inaccurate results. It is often difficult for humans to know the difference  In this chapter, we've explored some of the concerns surrounding the use of AI in education, including privacy issues, equity considerations, and the potential depersonalization of learning.

Now that we've explored the potential benefits of AI in education, let's dive into some practical examples of how teachers can incorporate AI tools into their teaching practices.

These systems provide personalized tutoring and feedback to students, helping them master difficult concepts at their own pace. For example, Teachers can use AI to automate the grading process for multiple-choice assessments, saving time and providing students with prompt feedback.

AI-driven adaptive learning platforms adjust the difficulty level of learning materials based on students' performance, ensuring that each student is appropriately challenged.

Combining virtual reality (VR) with AI technologies allows students to immerse themselves in interactive learning environments, such as historical simulations or scientific experiments. Have students write prompts into an AI program and compare their results.  Discuss the differences. This builds the skill of asking questions and analysis.

Use AI to generate art, noting the origins of its materials.  Discuss results, reliable sources, and whether it can still be called ‘art’.

Get into the math behind algorithms and machine learning.  There are many beginner resources online. This is a skill for the future.

Explore the impact that technology and AI will have on citizens and societies. Use this to generate debate, problem-solving, philosophical discussion, religious education and more.

In this video, we should in real time how to use generative AI to:

• Create a long-term scheme of work based on a new topic

• How to identify learning objectives and outcomes

• How to generate individual lesson plans for different age groups and levels

• How to customise the lessons to your individual students

• How to create homework activities for you

All in a matter of minutes...