Pros and Cons of AI in Education
AI in Education has become a reality, bringing the system to a crossroads. We have to choose if we want to keep going on the same path that will become obsolete in a few years. Or we choose a daunting, undiscovered path that has great potential.
In the not so distant past, AI was limited to running algorithms, and now it is becoming a part of our daily work and learning. Like many other industries, education has been impacted by the emergence and popularity of AI programmes.
For now, it seems the discussion is limited to the role of AI tools in submissions and providing evidence of the learning. But AI has so much more potential in our education system. I am not limiting it to creating better quizzes or lesson plans; I mean personalising the lessons and improving learning. On the other hand, a valid question is, do we have the resources to implement and execute such personalisations?
Let's discuss the pros and cons of AI in education and what we can learn to make the required changes in our teaching and learning.
Pros & Cons of AI in Education
Personalisation of learning
- One of the most significant benefits of using AI in the classroom is its ability to personalise learning for each student. It's amazing! AI algorithms can analyse students' learning styles, track their progress, and identify areas where they might struggle. This helps a teacher to address the issues each student is facing in learning.
- But this level of personalisation is difficult to adopt worldwide, as the cost of hardware and training human resources can be extensive.
Better Classroom Management
- Classroom management is a skill every teacher needs to learn. Our Effective Classroom Management CPD assists teachers in providing a more wholesome experience for their learners. If AI tools can provide teachers with planning lessons, organising resources, and monitoring their student's progress, that would be life-changing. It would give teachers more energy and time to create an impactful and personalised learning environment.
- The con is that each teacher would need to personalise their lesson plan nonetheless. However, they will be saving time, not effort. Because without personalisation, the content would be similar for every teacher using the tool.
- This would also lead to the loss of skills for the teachers, as it would lead them to take an easy way out.
- Moreover, one of our tutors made a very good point, "I would also feel a little hypocritical in that I plan a lesson completely on AI - but then tell the students its wrong to use it. However, demonstrating how I used AI tools to get Help would be a good way of showing them how to use it sensibly and responsibly".
Enhanced student engagement and motivation
- AI tools like gamification can make learning more engaging and fun for students. This approach can also help improve student motivation, which is critical for better learning outcomes. The students can internalise better when they are involved in the learning process.
- We must consider that games are expensive to design and are also expensive to maintain. Games get dated yearly as technology advances. Playing a dated game may lead the learners to question whether the content is outdated if the game is dated.
Access to a wealth of educational resources
- AI-powered educational platforms can provide access to a vast range of educational resources, including videos, podcasts, and online courses. Moreover, these programmes can help students learn at their own pace and explore topics beyond their curriculum.
- We are still far behind in generating reliable content from an AI programme. We still need to cross-check facts and resources. But in the future, AI can be a great way to gain customised education.
- Although AI generates a lot of data that is a goldmine for hackers, AI provides us with the solution. AI can judge and determine if some malware content or a threat is approaching the data. This way, AI has a way better chance to preserve privacy and have control over the data and assets.
- AI can protect our privacy, but how many cases do we hear about a privacy breach in a year? When our AI education systems will rely on student data to provide personalised learning experiences. The concerns about privacy and security become way more serious than just financial assets.
Case Studies of AI in Education
Several schools and universities worldwide have implemented AI-powered education systems, and the results have been promising.
AI personalised learning paths: the National Project of Estonia.
A project in Estonia employs AI in education to enhance student learning. It is divided into two sections: one for teachers and one for students. The teacher portion provides an overview of the student's progress and indicates which pupils need assistance with specific tasks. To make personalised learning a standard component of Estonian education, instructors, students, and others must put in more effort. But it is a great way forward to make education student-centric.
AI in admission paths: Georgia State University.
Artificial intelligence (AI) solutions are designed to make enrollment more efficient, increasing enrollment and lowering university costs. The AI-powered chatbot at Georgia State University provides students with personalised reminders, guides them through the admissions process, and more. The outcome? In the first year after implementation, the university experienced a reduction in summer melt of 19%, which increased in students who finished pre-enrollment activities. Due to their programming, AI chatbots provide students with the 24/7 assistance they require. By examining and gathering each encounter, they can also pick up fresh information and expand their database when people respond to new inquiries.
AI allows better special education: Otsimo
Autism Spectrum Disorder is as varied as the humans affected by it. There is more demand for schools to have a facilitator who can break down barriers and give special education to learners. Here artificial intelligence and machine learning will significantly improve education. Autism students need highly customised programmes and consider each student's learning style and rate. AI can constantly improve since it also picks up lessons from how people react to its work.
The award-winning software Otsimo, which uses AI for its speech treatment application, has several success stories in this area. When students complete their exercises, it uses filters as a reward system. The software can interpret what the kids are saying and fill in their progress charts.
Future of AI in Education
The future of AI in education is promising. AI education systems will become more advanced as technology evolves, providing students with more personalised and effective learning experiences. However, addressing AI's ethical and social implications in education is important.
Our panel of experts have discussed some of these and many other points on the impact of AI in Education.
Check out our podcast channel, ELN Ed Chat for the Debate: Using Chat GPT in Education.
Contact Us to share your input and which team you agree with.