In 2025, Artificial Intelligence (AI) integration in education will transform teaching and learning. Personalised learning platforms and automated administrative tools based on various AI technologies improve the learning experience for students & educators. But with AI, we can analyse data to adapt to how students learn and create customised educational pathways for individual learning styles, all of which will improve engagement. But they also raise concerns about bias, the dehumanisation of education, and the possibility that teachers will lose their jobs because there are several pros cons of AI.
While educational institutions adopt AI, its application’s benefits and detriments must be considered so that AI doesn’t require students to fight for learned resources. An attempt is made to gain a balanced view of how artificial intelligence may impact education.
Pros of AI in Education
1: Personalised Learning Experience
AI-powered tools can analyse an individual student’s performance and learning styles and tailor educational experiences according to their requirements. This personalisation helps address diverse learning needs. It also actively engages the students in their learning process by allowing them to receive the required support. As students respond, AI-poy can perform such tasks and create a better learning environment.
2: Improved Participation and Motivation
AI applications like gamified learning platforms can make education more engaging. By adding play and competition-like features to the lesson, students engage actively in their learning. Furthermore, AI systems can instantly give students instant feedback on their assignments and assessment help, allowing them to learn from their mistakes immediately.
3: Administrative Efficiency
It can automate administration, liking, scheduling, and data management. For this reason, teachers can devote additional instructional time and student interaction to the classroom instead of paperwork. Also, AI can assist educational institutions by using data analysis of student learning trends and areas requiring support where it is needed the most.
4: Continual Assessment and Improvement
AI tools can analyse student performance data to gather learning trends and areas for improvement. This provides a way to guide instructional strategies and interventions. AI tools can also use predictive analytics to identify at-risk students early so they can receive timely interventions that will improve their academic outcomes.
5: Accessibility and Inclusivity
AI can help with disabilities, for example, with speech to text app and language translation tools. Moreover, AI translation tools assist with translating course materials to non-native speakers, enhancing inclusion in different classrooms.
Cons of AI in Education
1: Risk and Misinformation Bias
The data on which AI is trained is only so good. AI will recommend or assess students based on biased training data, which can result in unfair treatment of some student groups. Additionally, AI may find it hard to create relevant information, creating misinformation that eventually bothers and weakens a student’s learning process.
2: Dehumanisation of Education
The downside of overreliance on AI tools is that they require more direct teacher-to-student face time. This lack of personal connection is driving down motivation and engagement with students’ studies. Additionally, people simply don’t learn as effectively as they would with a human mentor, who almost always has a level of empathy that no AI can ever achieve.
3: Dependence on Technology
The use of AI tools beyond class is dependent: students who use it too much give up essential critical thinking and problem-solving skills. It may also mean that they need more ability to learn for themselves. In addition to all of this, technology dependence can lead to disruptions to learning when tech fails, like it sometimes does: things like software crashes and lost internet connections.
4: Job Displacement Concerns
In the future, AI will finally reach the point where it can take over the more mundane administrative or instructional tasks so that teachers will wonder if they’ll have jobs. While AI can assist with teaching, it also can lower specific job requirements. The technological and academic skills of educators might have to be changed. They will also need to offer continuous professional development and training in response to new technologies and methodologies to which they must regularly adapt.
5: Implementation Costs
In some educational institutions, especially those with a small budget, more money might be required to implement AI technologies. Before using an AI tool, an initial investment and continuous maintenance are needed. Furthermore, access to AI technologies is unique in all schools, and risk becomes a reason for the unevenness of their education. On the one hand, AI may provide the most benefit to schools in affluent areas over underfunded areas.
CONCLUSION
Applying AI to education will present significant opportunities and complex challenges in 2025. AI can advance personalised learning, ensure higher degrees of student engagement, and automate many administrative tasks, but it can also breed bias, misinformation, and the dehumanisation of the learning experience.
Educators and institutions need to take a balanced approach to gain from AI’s benefits while avoiding the demon fire of AI drawbacks. That meant thinking about AI integration into the classroom in a thoughtful way that keeps human interaction central to education and how to address equity to bring AI’s advantages to all students. While navigating this complex landscape is rapidly becoming more complicated, we can utilise this power of AI to enrich our teaching and learning experiences for all through careful navigation.
