Artificial intelligence in education: Addressing ethical challenges in K-12 settings

Artificial intelligence (AI) is a field of study that combines the applications of machine learning, algorithm productions, and natural language processing. To address these issues, this paper (1) briefly defines AI through the concepts of machine learning and algorithms; (2) introduces applications of AI in educational settings and benefits of AI systems to support students' learning processes; (3) describes ethical challenges and dilemmas of using AI in education; and (4) addresses the teachin...

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 Applications of AI transform the tools of education.
• 2 AI has a variety of educational applications, such as personalized learning platforms to promote students' learning, automated assessment systems to aid teachers, and facial recognition systems to generate insights about learners' behaviors.
• 3 Despite the potential benefits of AI to support students' learning experiences and teachers' practices, the ethical and societal drawbacks of these systems are rarely fully considered in K-12 educational contexts.

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: