Asma55n
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6 months ago The solution is The student performance prediction system can be fixed by using best practices and a series of procedures. Listed below are some potential solutions to consider: Boost the quality of the data: removing missing values, cleaning up data, and verifying the accuracy of data used in prediction models are all ways to improve the quality of data. Applying modeling optimization methods: enhancing prediction models through the use of optimization methods like deep learning and model parameter optimization to raise accuracy. Increasing the range of the prediction: extending the prediction's reach to encompass additional variables and elements influencing student achievement. Improve user communication Boost and expand user communication to better understand their needs and, when necessary, offer technical help and training.
Transparency is lacking: Users and educators may find it extremely challenging to comprehend a predictive model, raising questions about the fairness and veracity of the predictions. Integration challenges: A system's capacity to deliver integrated benefits may occasionally be hampered by issues integrating it with other systems in the learning environment. The educational environment is changing quickly, and as a result, predictive models may eventually become antiquated or ineffectual due to ongoing changes in technology and teaching strategies. Student interaction: Depending on support and intervention, the prediction system may have trouble comprehending and altering the behavior of the students.