AI In Education
Experts and thought leaders in Artificial Intelligence (AI) strongly agree that the integration of AI into the current education system signals great potential to provide personalized studies while prioritizing the understanding of science, technology, engineering, and mathematics (STEM) and K-12 educational policy among learners. However, AI experts and thought leaders feel that AI innovations that are integrated into education cannot replace teachers because the technologies don't have the necessary capabilities to provide a full understanding of complex educational concepts but can only complement learning.
Artificial Intelligence: Necessary changes in the classroom
According to Brookings Institution, integrating artificial intelligence into the classroom is necessary to provide education with a competitive advantage of the pedagogical skills that will define the educational needs of the 21st-century thus courting for the long-term success of America and the world. The integration of AI into education is crucial to the development of scalable resources that can effectively support large numbers of students to easily navigate education, and training, as well as to choose rewarding career pathways. Innovations in AI is fundamental in enabling a streamlined personalization of education for any learner, while at the same time eliminating language barriers thus making education more accessible and universal. Examples of present-day AI innovations that are used to complement and advance education include Conversational AI system and the Skillful Initiative.
Artificial Intelligence: Changes in the education model and education policy
The critical role of AI in education is to foster the collaboration between the teacher and the AI innovations while impacting education to students. Therefore, even though AI will not replace teachers in classrooms, the innovations will play a fundamental role in providing a basis for the best educational practices that drive more efficiency while providing teachers with the space to enhance understanding and adaptability of the educational concepts. Additionally, the incorporation of AI in education is important in preparing students to be competitive in the workforce especially by prioritizing science, technology, engineering, and mathematics (STEM) and K-12 educational policy particularly given the large achievement gaps and proficiency levels in these fields.
AI is also critical in fostering the blended learning educational model which provides teachers with a better understanding of the best ways to personalize education to learners thus enhancing the understanding of classroom-based learning. Therefore, it is essential for teachers in this 21st century to undertake training that is focused on the AI-Based system of education. This approach might possibly impose new requirements for teaching degrees and certificates in order to qualify a teacher while providing a new pedagogy approach.
Artificial Intelligence: focused on the education field in the US
According to a 2018 market report by Research and market, the integration of AI into the education system in the US is expected to grow by 47.5% between 2017-2021. The focus of AI in education will be critical in the development of interactive tools and systems that will not only impact on the classroom teaching but also provide tutoring and support to students outside the classroom. Additionally, the integration of AI into education will also enable the development of AI mentors for learners and likely further development of smart content that will greatly improve the overall education system. Moreover, the mix of AI with normal education will also play a significant part in breaking the racial barriers and the income inequality barriers present in the US and across the globe.
Artificial Intelligence: limitations in the education field
One of the main limitations of AI is the inability of these advanced AI tools and systems to critically understand more complex thinking processes such as identifying identify irony, sarcasm and different kinds of humor. However, this enhanced understanding can be provided by teachers who must work in collaboration with AI systems. It is also worth noting that at the current slow pace at which the adoption of AI into the education system is taking, we should expect that the actual scope of AI in the educational sector can only be productive for automating simple tasks and not perfect for expressing any complex thinking processes. Additionally, AI is not good enough to exhibit creativity, or for providing an understanding of complicated social skills and human perceptiveness.
Artificial Intelligence: risks and social problems in the education field.
Lastly, the integration of AI into education signals the potential challenges of the accessibility to education that has been enhanced with AI capabilities because of the costs involved. AI might make the accessibility of such advanced education system a preserve for the rich. This would likely trigger an imbalance in the social concept of education thus undermining the fundamental basis of education in the society. According to a scholarly study of AI in the education system by Sharon Kerr, "Education is eminently a human-centric endeavor, not a technology-centric solution. Despite rapid advancements in AI, the idea that we can solely rely on technology is a dangerous path."
Artificial Intelligence: "Machine learning" programs helping in the education field
AI will also need to be integrated with machine learning in order to foster a perfect integration with education. Machine learning is meant to enhance the capabilities of AI in education by enabling AI to gather insightful data that will aid in the development of personalized study packages for learners. Some "Machine learning" capabilities help post-grade students to improve their approaches to research, for example, by having a machine learning that can suggest a new hypothesis for a learner's research.