The topics covered, however not limited to, will include the followings:
- Techniques to detect plagiarism and identifying AI-generated contents
- Strategies to help students develop critical thinking and problem-solving skills without over-reliance on AI tools
- Addressing the ethical considerations of using AI in education, including data privacy and bias
- Examining the role of human educators in the AI era and the importance of personalized feedback
- Discussing effective strategies for using AI as a complementary tool for assessment.
Call for papers
The conference invites you to submit your original research articles in the following research areas but not limited:
- Plagiarism and Cheating
- Strategies for identifying AI-written content
- Techniques for detecting pre-written solutions
- Techniques or detecting AI-generated content
- Exploring AI-tools to generate test answers
- Limiting reliance on AI-tools
- Understanding the limitations of AI-tools
- Evaluating sources, identifying bias, and verifying information generated by AI-tools
- Going beyond basic comprehension of AI-tools
- Impact of AI-tools in undermining learning process
- Strategies to develop deep and critical thinking skills using AI-tools
- Techniques for promoting problem-solving skills using AI-tools.
- Strategies for encouraging students to question, analyze, and evaluate AI-generated information
- Can AI-tools Replace Teacher’s Expertise?
- Impact of neglecting the importance of personalized human feedback
- Strategies for using AI as a complementary tool for assessment
- Limiting opportunities for diverse learning style
- Risks of adopting AI tools without proper evaluation
- Ethics & Privacy
- Ethical implications of collecting and using data to power AI tools
- Equipping teachers with the knowledge and skills of AI-tools
- Protecting student privacy in AI-powered platforms