Why has AI been increasingly adopted in educational settings?

The increasing adoption of AI in educational settings is primarily due to its ability to enhance both educational outcomes and operational efficiency. AI technologies can personalize learning experiences for students, adapting to their individual needs, learning speeds, and styles. This tailored approach can lead to better understanding and retention of information, ultimately improving academic performance.

In addition, AI can streamline administrative tasks, helping teachers and educational institutions operate more effectively. Tasks such as grading, scheduling, and managing student data can be automated, allowing educators to focus more on teaching and engaging with students. This not only benefits the teachers by reducing their workload but also creates a more conducive learning environment for students.

The other options do not align with the primary motivations for AI integration in education. While eliminating teacher roles, focusing solely on standardized testing, or restricting access to resources might reflect some misconceptions about AI, these are not the goals of AI implementation. Instead, the driving factors are centered on enhancement and efficiency, making option B the most accurate choice.