Enhance the following paragraph
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.
While AI undoubtedly offers numerous benefits in the realm of higher education, it is important to consider the potential risks it poses to human teachers. The emergence of AI-powered tutoring systems could potentially lead to the displacement of human educators. These systems, powered by sophisticated deep learning algorithms, have the ability to analyze student performance patterns more effectively than many human teachers (VanLehn et al., 2013). Consequently, educational institutions may be tempted to overly rely on AI tutors, thereby undermining the essential human connection necessary for effective instruction. Moreover, the impersonal nature of AI systems could hinder the development of vital qualities such as empathy, emotional intelligence, and creativity. Human teachers possess the ability to emotionally engage with their students, adapt their teaching strategies on-the-fly, and foster a collaborative classroom environment (Rose, 2019). The absence of human guidance may result in subpar learning experiences and impede students' holistic growth. Additionally, biases can inadvertently be ingrained into AI algorithms, leading to discriminatory outcomes in areas such as student assessments, admissions, and resource allocation. Furthermore, AI introduces potential threats to security and privacy, especially regarding the collection and surveillance of student data.
Enhanced paragraph:
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 displacement of human teachers. Deep learning algorithms enable these computer systems to analyze student performance patterns more effectively than many human teachers (VanLehn et al., 2013). Consequently, schools might be inclined to rely solely on AI tutors, thereby jeopardizing the crucial human connection required for effective instruction. Moreover, the impersonal nature of AI systems may hinder the development of important skills such as empathy, emotional intelligence, and creativity. Human teachers have the ability to connect with their students on an emotional level, adapt their teaching strategies in real-time, and foster a collaborative classroom environment (Rose, 2019). The absence of human guidance could result in a subpar learning experience and hinder students' overall development. Furthermore, biases can be ingrained in AI algorithms, leading to discriminatory consequences in student assessments, admissions, and resource allocation. AI also poses security and privacy threats, particularly in relation to the collection and surveillance of student data.