This journal (open access) aims to serve as a leading forum for scholarly discussion, critical analysis, and empirical research on the challenges and concerns raised by the integration of Artificial Intelligence in educational settings. Our focus spans various dimensions, including but not limited to:

• Ethical and Privacy Issues: We invite contributions that explore the ethical dilemmas and privacy challenges posed by AI in education. This includes investigations into data privacy, consent protocols, ethical use and storage of student information, and the development of frameworks to guide ethical AI practice in educational contexts.

• Bias and Inequality: The journal seeks research that addresses the manifestation of bias in AI systems and its implications for educational equity. Studies might examine how AI algorithms can inherit and amplify biases present in training data, the impact on student outcomes, and strategies for mitigating bias and promoting fairness in AI-enhanced education.

• Dependence on Technology: Contributions are encouraged that critically assess the implications of technology dependence in educational environments. This encompasses analyses of how overreliance on AI technologies might affect the role and autonomy of educators, impact student learning experiences, and alter traditional educational dynamics.

• Accessibility and Digital Divide: The journal is interested in research that sheds light on the digital divide and accessibility issues within AI-enhanced education. Papers may investigate how AI technologies either bridge or widen gaps in educational access, particularly for students from marginalized or underserved communities, and propose solutions to enhance digital equity.