What is a future trend expected in AI applications in education?

Increased integration of immersive technologies like VR and AR is indeed a promising future trend in AI applications within education. These technologies enhance learning experiences by providing students with realistic simulations and interactive environments, which can lead to deeper engagement and understanding of complex subjects. For instance, virtual reality can transport students to historical sites or allow them to experiment in a safe, controlled environment, making learning more impactful. Augmented reality can superimpose digital information onto the real world, providing context and enhancing comprehension through interactive experiences.

The integration of these immersive technologies aligns well with personalized learning approaches, enabling students to learn at their own pace and style. This trend reflects a shift towards making education more engaging and effective by harnessing AI's potential to create dynamic, customized learning experiences.

In contrast, the other options do not reflect anticipated advancements in educational applications of AI. For example, greater separation of subjects may hinder interdisciplinary learning, an increasingly valued approach in modern education. Reduced focus on student interaction would contradict the trend towards collaborative and social learning environments facilitated by AI tools. Finally, standardization of learning experiences often clashes with the push for personalized and adaptive learning, which AI aims to enhance by catering to individual student needs and preferences.