To develop a framework that integrates machine learning techniques into Selenium for improving test execution in educational settings.
To enhance the efficiency and effectiveness of test automation in educational software applications using the SELE-AI framework.
To evaluate the performance of the SELE-AI framework in terms of test coverage, execution time, and accuracy in educational testing scenarios.
Research existing machine learning techniques suitable for integration with Selenium in educational testing.
Design and implement the SELE-AI framework for intelligent test execution in educational software applications.
Conduct experiments to evaluate the performance of the SELE-AI framework using real-world educational testing scenarios.
Analyze the results and provide recommendations for further improvements and future research directions in the field of intelligent test execution in education.
