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