enhance the following paragraph and Show understanding why some people may hold this viewpoint.

Question

While AI has many advantages in higher education, it is argued that it also poses some risks to human teachers. The rise of AI-powered tutoring systems may result in the ending of human teachers. Deep learning algorithms enable these computers to analyze student performance patterns better than many human teachers (VanLehn et al., 2013). As a result, schools may be tempted to rely solely on AI tutors, threatening the human connection required for effective instruction. Furthermore, the impersonal character of AI systems may stifle the development of crucial talents like empathy, emotional intelligence, and creativity. Human teachers can connect emotionally with their pupils, modify their teaching tactics dynamically, and build a collaborative classroom atmosphere (Rose, 2019). The absence of human direction might lead to a poor learning experience and impede students' complete development. Biases can be passed down to AI algorithms, resulting in discriminatory consequences in student assessments, admissions, and resource allocation. AI poses security and privacy threats, particularly in terms of student data gathering and surveillance.

Answer 1

While AI offers numerous benefits in higher education, there are concerns about its potential impacts on human teachers. One viewpoint is that the emergence of AI-powered tutoring systems could lead to the diminishing role of human teachers. This concern arises from the fact that deep learning algorithms embedded in these systems can analyze student performance patterns more effectively than many human teachers (VanLehn et al., 2013). Consequently, there may be a temptation for schools to rely solely on AI tutors, which could undermine the crucial human connection necessary for successful instruction. Additionally, AI systems are often perceived as lacking personalization and are thought to inhibit the development of important qualities like empathy, emotional intelligence, and creativity. In contrast, human teachers possess the ability to emotionally connect with their students, adapt their teaching methods in real-time, and foster a collaborative classroom environment (Rose, 2019). The absence of human guidance in the learning process could lead to suboptimal educational experiences and hinder students' holistic development. Furthermore, there is a concern that AI algorithms can perpetuate biases, which in turn could have discriminatory implications in student assessments, admissions, and resource distribution. Lastly, there are valid concerns regarding the security and privacy of student data, as well as the potential for excessive surveillance, in the context of AI implementation in education.