How Teachers Can Use AI for Personalized Learning in Classrooms

Explore how educators can use AI to tailor learning for every student

By SELIN Club | 25 Apr 2025, 04:32 AM

As a result of recent developments in AI, they are changing education settings with the ability to provide personalised experiences for each learner. By leveraging AI within their teaching framework, teachers are likely to boost student engagement, perform administrative duties faster, and improve learning outcomes. This guide outlines numerous ways in which teachers use AI to efficiently personalise classroom experiences.​

 

Describing Personalised Learning with AI

Personalised learning encompasses making changes to curriculum content and teaching methods according to individual students' learning styles, paces and interests. AI can do this by analysing data on student performance, identifying patterns, and adapting instruction. In this way, each learner is aided and challenged according to their own abilities so that engagement is biased in one's favour and learning becomes much more effective.

An AI platform may evaluate in real time a student's strengths and weaknesses, adjust the difficulty of tasks and offer particular resources to address deficits. In contrast to this flexible model is the fixed approach found in so many traditional classrooms: everybody receives the same treatment.

 

Advantages of AI in Education

The advantages are from putting AI into classroom instruction are:

1. Maximized Student Engagement

Personalised content draws students' attention and makes them more active participants. They become excited and inspired because the content touches their interest and preferred mode of learning.

 

2. Academic Performance

Individualised instruction engages learners in a way that truly exposes gaps in their knowledge, leading to the understanding of concepts and excellent academic performance in a given subject.

 

3. Maximisation of Teaching Time

AI has the potential to simplify regular teaching tasks such as grading and admin duties so that teachers can devote more time to active, engaging instructional moments.

 

4. Real-Time Analytics

AI gives teachers insight into student performance, which can drive informed decision-making and differentiation in instruction.

 

5. Support for Different Learning Groups

AI tools can adapt content for learners with various learning capacities, including those that assist students with disabilities, encouraging inclusivity in the learning environment.

 

Uses of AI in the Classroom for Teachers

More teachers are now employing AI systems in their discourse to create space for enriching instructional activities. Some of these are practical uses:​

1. Adaptive Learning Systems

Adaptive learning systems deploy artificial intelligence algorithms to regulate the content difficulty and pedagogical approach in real-time based on student performance outcomes. As such, personalised resources and exercises are provided, allowing the custom pace of progress for every student. For instance, DreamBox Learning customises the math lessons according to each student's skill level, so as to allow mastery through suitable challenges.

 

2. AI-Powered Assessment Tools

An AI-based assessment tool can automate different forms of assignment grading, ranging from multiple-choice quizzes to essays. This saves time while ensuring consistency and objectivity in evaluation. Tools such as Gradescope provide an efficient way for instructors to grade assignments while giving rich feedback to the students.

 

3. Intelligent Tutoring Systems

Intelligent tutoring systems act as virtual assistants that will provide students with instant feedback and direction beyond a conventional classroom setting. These systems can answer questions, elucidate conceptions, and present additional exercise; thereby aiding autonomous learning. For example, MATHia from Carnegie Learning blends teacher input with exceptionally advanced AI to analyse student problem-solving thought processes and render customised support.

 

4. Content Creation and Lesson Planning

AI applications can be used by teachers for lesson planning and development of instructional materials. Based on the analysis of curriculum standards and student data, AI tools can provide suggestions for appropriate content, activities, and assessments. Eduaide.AI is an example of a tool that generates lesson plans and discussion prompts and hence helps in streamlining the planning process.

 

5. Classroom Management

Applications powered by AI may facilitate the management of various aspects of school logistics, from scheduling to attendance checking and student/parent communications. All these efficiencies serve to relieve administrative burdens, thus allowing much more teacher time to be devoted to teaching. AI systems, by tracking student behaviour and engagement, can reinforce positive behaviours and provide critical insights into class dynamics.

 

Implementing AI Tools for Personalised Learning

For effective embedding of AI in personalised learning, educators can consider the following stages:

Identify Specific Needs

Identify specific areas where AI could make a significant contribution, such as differentiating instruction, automating assessments, or enhancing student engagement.

 

Select Appropriate Tools

Select AI tools that underpin identified educational technology in schools' goals and are intuitive for teachers and student users. For example, platforms like Quizizz provide gamified assessments, tailoring student responses.

 

Professional Development

It is very important for teachers to equip themselves with the skills to use AI tools effectively and ethically. To be able to achieve all that, it is really significant to understand the capabilities as well as limitations of AI for successful implementation. ​

 

Monitor and Evaluate

Establish on an ongoing basis, evaluating the extent to which the AI tools are meeting personalised learning goals. Incorporate student feedback and modify strategies for optimising outcomes.

 

Ethical Issues

Data privacy and security must come into play when it comes to the use of AI solutions. The student information must not be compromised, and AI applications should comply with applicable regulation.

 

Challenges and Considerations

One needs to acknowledge and address the challenges that AI, as it potentially holds high promise, is bringing to education:

Data Privacy

Keeping student data private is a very high priority. Schools must ensure that AI is processed according to privacy laws, and the sensitive information is taken care of responsibly.

 

Equity and Access

Not all students have access to technology. Schools should be able to provide tools and necessary sources to avoid the widening of the digital divide.

 

Teacher Roles

AI should complement but not replace the human elements of teaching. People interpret support of education by AI, but then provide much-needed emotional and social support, which technology cannot replicate.

 

Conclusion

The promise of using AI in education lies in its ability to personalise learning experiences for individual students. If the use of AI tools has been incorporated successfully, it will enable teachers to improve their delivery and increasingly engage students to improve outcomes in learning. However, it must be realised that while AI undergoes this evolution, there may be a balance between innovation and ethical considerations in ensuring that it becomes a tool for the empowerment of both educators and learners.

👉 For more insights and resources, visit SELIN Club.

 

FAQs

 

1. How can teachers use AI in the classroom?

Teachers are utilising AI in numerous ways—from developing customised learning plans and automated marking, determining learning gaps, and proposing further practice. Similarly, AI can assist in classroom activities like attendance tracking, lesson plan ideation, and ensuring students' on-task behaviour.

2. What does personalised learning with AI mean?

With AI, personalised learning refers to using smart technology to customise lessons according to the requirements of students. The analysis of each learner's progress and the styles of learning will help give tailor-made lessons, tests, and feedback to make the learning effective and interesting.

3. Can AI help teachers in personalising learning?

Sure. AI tools offer learning automatic adjustment in real-time to a student's comprehension regarding the material. For instance, a student having difficulty understanding a concept in maths would receive a simpler definition or additional practice from the AI tool until the subject is clear.

4. How does AI improve student learning outcomes?

AI improves outcomes by giving students the right support at the right time. It helps teachers spot problems early and offer targeted help. Students learn better because the lessons match their pace and understanding, which boosts confidence and performance.

5. What are the best AI tools for teachers?

Some of the best AI tools include:

Quizizz: for creating adaptive quizzes.
 

Gradescope: for fast, AI-assisted marking.
 

Khan Academy’s Khanmigo: for AI-powered tutoring.
 

Eduaide.AI: for lesson planning and content creation.
 

These tools save time and help make teaching more effective and engaging.