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:
  1. 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
  1. 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
  1. 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
  1. 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