<p>1. Introduction<br> 1.1 Background and Significance<br> 1.2 Research Questions<br>2. Literature Review<br> 2.1 Machine Learning in Education<br> 2.2 Personalized Learning and Adaptive Feedback<br> 2.3 Ethical Considerations of ML in Education<br>3. Methodology<br> 3.1 Research Framework<br> 3.2 Data Collection and Analysis<br> 3.3 Ethical Review<br>4. Implementation of ML in Computer Education<br> 4.1 Personalized Learning Models<br> 4.2 Adaptive Assessment and Feedback Systems<br> 4.3 Student Performance Analysis<br>5. Ethical Implications and Considerations<br> 5.1 Privacy and Data Security<br> 5.2 Bias and Fairness in ML Algorithms.<br></p>
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