Introduction To The Role Of AI To predict Student Success
Today, all institutions and companies are accelerating the use of AI technologies in their businesses to achieve a clear vision and quality results. Artificial intelligence (AI) is also transforming the field of education, offering new ways to enhance teaching and learning outcomes. One of the most promising applications of AI is to predict student success, which can help educators tailor instruction, provide feedback, and intervene early. But how does AI do this, and what are the benefits and challenges of using it?
What is Predictive Analytics?
The first step in building to predict the Success of a student is to collect and process data that can capture the relevant aspects of student performance and behavior. This can include data from various sources, such as grades, attendance, assessments, quizzes, surveys, online platforms, and sensors. However not all the data is correct, useful and reliable. Some of that will be incomplete, expired or outdated that can effect the overall quality and performance of a student.
Student Success Prediction
For the prediction of student success, we train a different variety of models and algorithms to predict the student success (i.e., final exam marks, mid exams , assignments etc. For training the models ,we create a set of features representing information about students’ social media usage times, demographic , and background. Redirected to the usage time of different social media by students, illustrated by Five different machine learning approaches have been tested. In order to build an algorithm that can most accurately predict the future performance of students. These approaches include decision trees, neural networks, Bayesian networks, logistic regression, and support vector machines.
Real World Examples From Colleges And Universities:
Ai In Libraries:
Libraries use AI for well defined search and information retrieval, enhancing the efficiency and the well accuracy of literature research.
Grading Automated: Using AI to automate the grading process for multiple-choice and short-answer questions, reducing instructors’ workload.
Teachers and AI: A Collaborative Approach:
In the modern era of AI we know , Ai can have so many benefits in various fields such as an education, technology , finance etc,but there also so many problems and tasks that can not be replaced by Ai , but they are only possible by the collaboration of teachers and Ai , especially in the education field and so on for all other. They are as follow below.
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Building Interpersonal Relationship:
Although Ai can produce better results to the students in the performance. But the interpersonal relationships and emotional connection Is also important between the student and the teacher for a developing of a learning environment. Good can be a source of inspiration, and motivation for a student.
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Understanding Student’s Needs:
Yes, Ai can produce good progress and performance and can suggest a better way of learning, but understanding the basic needs and learning style of a student has a direct relation with the teacher .Ai can produce the result about the given set of data . For better understanding of the student needs, the teacher must have a relation to each student in personal for the overall better performance of a student.
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Teaching Social and Emotional Skills:
Teaching social and emotional skills need to have a direct connection between the student and the teacher, who are aware of learning how to interact with others. Ai may be able to teach teachers and students how to interact with others but cannot replace the role of teachers in helping students understanding and practicing these skills.
Engaging Parents in the AI-Driven Educational Process:
Parents play a critical role in their child’s education, and their involvement has a direct impact on their academic success. However, with the fast-paced nature of the digital world, traditional methods of parent engagement may fall short. By keep aware the parents of how Ai is playing a vital role in the child education. Telling the parents that how Ai is revolving the world. Ai has replaced so many things in this modern era. Using the Ai technologies can personalize the learning experiences and can identify the area of Improvement.
Conclusion:
AI will change education in a different ways, from the way teachers teach and how student learn. The modern AI-based tools will help students to learn faster, with more personalized instruction tailored to their individual needs. AI can also help teachers track student progress, allowing them to intervene in learning when necessary and provide more effective instruction. Overall AI has a big impact on the as a whole prediction of a student success.
