Artificial intelligence (AI) is gaining popularity in different fields. But, it has not yet been fully explored in education. AI can help students improve their studying habits by allowing them to access information faster. It can also help teachers create better lessons for their students. They can depend on their understanding of the subject matter and previous student answers. Let’s see how AI can help students improve their studies.
Here are some noteworthy trends of technology you’ll see in 2023, which will blow everybody’s mind.
How Can AI Learning Help Students Improve Their Studies?
AI-assisted learning systems use data mining techniques. It analyzes past exams or assignments submitted by other students; some systems even go back as far as ten years. Then, it can analyze millions of past student submissions to find patterns that say strengths and weaknesses in the student. The system then uses these patterns and generates recommendations for each student’s study.
9 Ways On How Can AI Help Students:
The most common AI use cases are:
Personalized Learning
AI can provide personalized learning content based on individual student needs and interests. This helps the student focus on topics they need more practice or reinforcement than covering everything in one class period. It also allows teachers to make better lesson plans. Since they can see what each student is struggling with and tailor their lesson plans as needed.
Automated Grading
Automated grading is another use case for AI, especially for tests that need multiple-choice answers. In automated grading algorithms, they analyze multiple-choice answers using machine learning techniques. It may be natural language processing (NLP). It can predict whether a student answered a question correctly or incorrectly without manually grading every test paper.
Adaptive Testing
Adaptive testing is a computer-based test (CBT) that adapts to each taker’s ability level throughout the testing period. This makes it possible for all test takers to receive an accurate assessment of their skill level at each point during the test.
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Intelligent Tutoring Systems
AI can be an intelligent tutor system for students needing extra study help. A tutor system usually provides feedback when students perform poorly on an assignment or quiz. This system helps students identify what they need to improve for future lessons or quizzes. The AI would also suggest improving their grades. Since, it can offer them new information or tips on studying more efficiently to get better results in exams or quizzes.
Writing Help
AI-powered writing help is one of the popular artificial intelligence applications in education. It can help students with writing assignments by suggesting corrections for their mistakes. Also, it can give them suggestions on how to improve their writing style.
Grammar Checker
A grammar checker app uses natural language processing to detect grammatical errors in a sentence or paragraph. The app will run through your text and highlight any issues it finds. So, AI grammar checker can help students to fix grammatical errors before submitting assignment to their teacher.
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Predictive Analytics
Predictive analytics is a subset of machine learning that uses historical data to predict future outcomes. It’s used for everything from predicting customer behavior to crimes before they happen. In education settings, it can be used to predict when students are likely to drop out or fail a class. This information can help teachers identify students needing extra support or other resources.
Real-Time Feedback
Some AI tools provide real-time student feedback based on their performance in exams or tests taken so far by other students using the same tool. This improves the learning experience for students. They can see what areas need improvement immediately after taking an exam or test instead of waiting for their results to arrive later.
Quiz Generation
Quizzes generated by AI can help students with questions tailored to their needs and interests. So, it increases engagement and helps them learn better than traditional multiple-choice tests do.
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Conclusion
AI has a long way to go before it can offer even close to the insight and help of a real person. But the equation may be balanced by the approaching era of augmented reality technology. That theoretically provides a lifelike experience when training with Augmented Reality. This dream may become a reality when AI feels more human, and AR becomes more realistic.
Also Check: Will AI Technology Replace Human Software Developers?
Image by Sasin Tipchai
