Have you ever seen the power of AI or technology in the classroom, such as a big screen streaming educational content in an engaging way, or any automation tools that were not present earlier?
Yes, those are AI tools, which have been there in the classrooms for the past few years. Technology has been so developed in recent years that schools are now better eligible to help students to be ranked and have good grades with qualitative education. Schools that integrate AI in the classrooms and their system can easily educate students by providing what they need to get stuff.
AI also helps in finding out how many students have dropped out of school, and it also has a solution to keep students motivated for pursuing their education. The power of AI is so high that it can improve academic outcomes.
AI can reduce the gross dropout rate in schools. It can also improve at-risk students in education. According to artsmart.ai, 43% of students use AI tools for learning enhancement in their higher education institutions.
Reduce dropout rate
At-risk students drop out of school, which affects their future careers. That is why it is important to identify at-risk students. It also impacts the institutions in terms of funding and reputation.
Through various applications, schools or institutions can track the performance of individual students. This kind of ERP system helps to identify the poor academic performance of a particular student. Poor academic performance leads to demotivation amongst students, and therefore, identification of at-risk students is necessary.
Increase student attendance through the power of AI
According to Central Square Foundation, approximately 31.5% of students are consistently absent from the classroom. This is a significant percentage, and it becomes crucial to identify at-risk students to increase student attendance, which will also automatically boost the school’s reputation.
Smooth communication
If students do not participate in different activities in school, they don’t come to school regularly, and they fear speaking around people. Smooth communication skills are a must for every single individual. A person without smooth communication is nothing in this era, and that becomes the reason to identify at-risk students to brighten their future.
Enhance teaching effectiveness through power of AI
A school can only make some meaningful changes and enhance teaching effectiveness when it gets to know what students want and what scares them. In such a case, identifying at-risk students is necessary so that schools can help them learn in the way they need. At-risk students’ identification can be beneficial for both the students and the schools.
Avoid incomplete homework/assignment
Many students do not know how to solve such things or cannot understand what they are learning in the classroom. It is important to know the reason behind it so that they can complete their homework/assignments. Schools can change teaching aspects, and this can only happen after identifying at-risk students.
Support social and emotional development
Early identification of at-risk students can lead to academic success and overall well-being through providing support for social and emotional development. It also promotes mental health.
Common indicators of at-risk students
We can identify at-risk students through different indicators like academic indicators, behavioural indicators, and social & emotional indicators.
Academic indicators
Lower grades
In a short period, consistently lower grades are a sign of at-risk students. This can happen due to having trouble understanding the particular subject.
Incomplete assignment
If a student is not capable of completing the assignment given to them, it shows a lack of motivation, indiscipline, and other challenges, which indicates at-risk students.
Low participation in school programmes
Lack of participation in quizzes, debates, or traditional functions in the schools shows that the student has some issues, like fear or lack of confidence.
Behavioral indicators
Lack of concentration
Many students face this issue. They cannot focus on one thing for a long time, and a little thing or noise distracts them easily in the classroom. They cannot even pay attention in the lecture.
Disrespectful behaviour
Students act disrespectfully in front of their seniors, school staff, and even teachers in the classroom, which is a really risky sign for them in the future.
Social & emotional indicators
Lack of self-confidence
The feeling of not expressing yourself in front of others or having stage fright also indicates at-risk students. Anyone who is not able to put their selves openly can face various setbacks in their life.
Personal problems
Lack of money, family conflicts, and health issues are major factors for not being focused and attentive in the classroom.
How power of AI help identify at-risk students
AI can help identify at-risk students by using various data points of students. Through the identification, schools would be able to stop students for not throwing their future in the dark and reduce the dropout rate. Through data analytics, predictive modeling, and personalized learning strategies, AI can identify at-risk students.
Predictive modeling
This method combined machine learning and the power of data-driven insights. Such methods, learning algorithms like decision tree, support vector machine, and logistic regression, help in predicting at-risk students. This algorithm dives into historical data of the students, which suggests potential dropouts. These methods help institutions to take proactive actions.
XAI (Explainable AI) technique
XAI (Explainable AI) uses various features to identify at-risk students, such as learners’ personality, previous academic performance, current academic concepts progress, and soft skills. The student data has been collected and preprocessed, and then the feature selection algorithm is applied to identify the feature that is most relevant to predicting at-risk students who are at risk of dropping out. A XAI method, which is SHAP (SHapley Addictive exPlanations), shows, in terms of pass or fail grade, the factors that influence students’ academic performance outcome.
Power of AI early warning system
This system has three portions.
• Data collection
• Analysis
• Alerts
First of all, AI systems gather student data such as their attendance, behaviour, and scores. Then it will analyse this data and if any negative signs show up, it will directly send the alert message to the teachers or higher authorities.
Through the power of AI, How identifying at-risk students leads to success
Early identification can prevent minor issues, which could possibly be major. It allows intervention on time and helps institutions to take proactive actions to support at-risk students. Schools can provide a proper personal learning environment for needy individuals to make them learn easily. This might help in reducing the student dropout rate.
When students get support from schools, they can have good grades, and their performance is likely to increase. These steps will surely increase the reputation of the school, and students will have a higher chance of success in their lives.
Every student deserves a better education and a friendly environment for their studies. Technology brings new energy and motivation to learn more and more. Let’s leverage technology in the classrooms and motivate students towards learning new things every day.
Hi, I’m Chhaya. I am from Gujarat. I’ve completed my M.B.A. in Business Management from N.M.I.M.S—Mumbai. I have always had a keen interest in marketing and writing. I began my journey by applying my skills to support educational bodies and EdTech firms, and along the way, I have gained immense experience in this field.
With time, my interest in Education and the Ed-tech industry drew me to gain valuable experience by working with two Ed-tech companies. In short, I can be that go-to person if one needs to know about the Education and Ed-Tech scenario in India and understand the intricacies of the field.
Apart from this, my interests are reading and writing!
Feel free to ping me on my work email, chhaya@smaktech.com, to discuss my work at SmakTech or for any work-related queries!
