Application Of Artificial Intelligence (AI) IN Learning
The impact of artificial intelligence as a powerful technology can be witnessed in diverse industry verticals. The education industry across the globe is no exception to this, with an increase in the use of AI by over 47.5 percent last year. The use of AI is in education has given a completely new perspective of looking at this field to teachers, students, parents, and of course the educational institutions as well. But it is also important to clarify to the public and the community that the purpose of Artificial Intelligence (AI) is about in education is not to replace teachers but to give them a helping hand in understanding the potential and limitations of each student.
When we break down the benefits of Artificial intelligence (AI) is for students, we can come up with four categories, which are, personalization, tutoring, quick responses, and universal access. Personalization is one of the biggest trends in education. With the use of AI, students now have a personalized approach to learning programs based on their own unique experiences and preferences. AI can adapt to each student’s level of knowledge, speed of learning, and desired goals so they’re getting the most out of their education. Additionally, Artificial intelligence (AI) -powered solutions can analyze students’ previous learning histories, identify weaknesses and offer courses best suited for improvement, providing many opportunities for a personalized
Having a quick response to any doubt or query regarding coursework can prove to be crucial in the success of students as it can be the difference between studying smart and studying hard. In this sense, Artificial intelligence (AI) can help students find answers to their most commonly asked questions in seconds through support automation and conversational intelligence. Not only does this free up a lot of time for educators, but it also helps students spend less time tracking down answers or waiting for a response to their questions. Honing one’s skills and revising the course load time and again is a staple in the life of a student, and tutors relieve this burden by being the guiding light for students outside of school. While no chatbot can truly replace an educator, AI tools can help students sharpen their skills and improve weak spots outside of the classroom. They provide a one-on-one learning experience without having the teacher there to answer questions at all hours of the day.
In fact, an AI-powered chatbot can answer student questions at a response rate of 2.7 seconds. Finally, the piece de resistance in a student’s life, access, good access can be the true bane of many students as incomplete and shoddy work leads to worse and worse grades. Here, Artificial Intelligence (AI) can truly be the student’s saving grace, where AI-powered tools make learning accessible for all students, anytime and anywhere. Each student learns at their own pace, and 24/7 access makes it easier for students to explore what works for them without waiting on an educator. Additionally, students from all over the world can gain access to high-quality education without incurring traveling and living expenses.
As we saw earlier, AI is almost certainly a revolutionary force for students now in 2021, but it can also be a powerful tool for teachers and educators! Just as AI can personalize students’ learning courses, it can do the same for educators.
By analyzing the students’ learning abilities and history, Artificial Intelligence (AI) can give teachers a clear picture of which subjects and lessons need to be re-evaluated. This analysis allows teachers to create the best learning program for all students. By analyzing each student's specific needs, teachers and professors can adjust their courses to address the most common knowledge gaps or challenge areas before a student fall too far behind. Moreover, an educator spends a tremendous amount of time grading homework and tests. Artificial Intelligence (AI) can step in and make quick work out of these tasks while at the same time offering recommendations for how to close the gaps in learning. Although machines can already grade multiple-choice tests, they are very close to being able to assess written
> As AI is a step in to automating admin tasks, it opens up more time for teachers to spend with each student. There is much potential for Artificial intelligence (AI) is to create more efficient enrollment and admissions processes. Along with administration and planning, AI can also step into answering questions with access to an entire school’s database and automate the more mundane teaching tasks such as replying to emails or assessing learning patterns.
In conclusion, from online textbooks to fully remote lectures, the advancements in tech are ten-fold. Today, Artificial intelligence (AI) is playing a role in helping students and teachers optimize and automate both learning and teaching tasks. As the Artificial intelligence (AI) is Industry expands, and innovation is at the forefront, we’ll see improved learning outcomes for all students and educators.
Application Of Artificial Intelligence (AI) In The Medical Field
Artificial intelligence (AI) is, in itself, is rooted in the fact that it can perform and simulate human-level intelligence with the arithmetic capabilities of a machine which makes it essential in critical fields such as medicine. Its use in this field is dichotomized into two sub-types: Virtual and Physical. The virtual part ranges from applications such as electronic health record systems to neural network-based guidance in treatment decisions, while the physical part deals with robots assisting in performing surgeries, intelligent prostheses for handicapped people, and elderly care. The aforementioned neural networks used in the virtual part are essentially a series of processors acting as neurons to analyze complex statistical data. This provides valuable insight into the key use of AI in the medical field as we can now gauge the importance that this analysis might play in recognizing symptom patterns in patients to provide a more complete and foolproof diagnosis as compared to a doctor.
These neural networks learn the art of diagnosing a patient via two broad techniques, namely, the flowchart approach and the database approach. The flowchart-based approach involves translating the process of history-taking, i.e., a physician asking a series of questions and then arriving at a probable diagnosis, by combining the symptom complex presented. Conversely, the database approach utilizes the principle of deep learning or pattern recognition that involves teaching a computer via repetitive algorithms in recognizing what certain groups of symptoms or certain clinical/radiological images look like. But it is useful to note that, the flowchart approach requires feeding large amounts of data into machine-based cloud networks considering a wide range of symptoms and disease processes encountered in routine medical practice.
Therefore, the outcomes of this approach are limited because the machines are not able to observe and gather cues that can only be observed by a doctor during the patient encounter. While on the other hand, the database system is trained to recognize images based on over 10 million YouTube videos with its efficiency only improving after each view, allowing it to predict symptoms with over 75 percent accuracy, after only 3 days of learning. The key summary from this analysis of the effectiveness of AI is that it has been proven to be a foolproof and fast solution to a large number of problems encountered in the medical field and is therefore used abundantly in the industry.
A few noteworthy examples of Artificial Intelligence (AI) is being utilized in the medical field are seen to be ranging from online scheduling of appointments, online check-ins in medical centers, digitization of medical records, reminder call for follow-up appointments, and immunization rates for children and pregnant females to drug dosage algorithms and adverse effect warnings while prescribing multidrug combinations. Radiology is the branch that has been the most upfront and welcoming to the use of this new AI technology.
Computers being initially used in clinical imaging for administrative work like image acquisition and storage are now becoming an indispensable component of the work environment with the origin of picture archiving and communication systems. The decision support system is also another crucial example in pioneering the use of AI technology in medicine, this decision support system, or DXplain, was developed by the University of Massachusetts in 1986, which gives a list of probable differentials based on the symptom complex and it is also used as an educational tool for medical students filling the gaps not explained in standard textbooks.
In addition to this, applications like Germwatcher, a system developed by the University of Washington to detect and investigate hospital-acquired infections; Babylon, An online application in the UK used by the patients to consult the doctor online, check for symptoms, get advice, monitor their health, and order test kits, and AI-therapy, an online course that helps patients treat their social anxiety are all primary examples of the mass use of Artificial Intelligence (AI) in the field. The other enormous pillar in the use of Artificial Intelligence (AI) in the medical industry is the use of AI in hands in the dirt surgery where Robotics and Artificial Intelligence (AI) are partnered to provide a more precise and safe operation than most humans are capable of accomplishing. The DA Vinci robotics surgical system developed by intuitive surgical, plays the leading role in this sector of the medical field, especially in urological and gynecological surgeries. The robotic arm of the system mimics a surgeon's hand movements with better precision and has a 3D view and magnification options that allow the surgeon to perform minute incisions.
In conclusion, we can see that AI is growing into the public health sector and is going to have a major impact on every aspect of primary care. AI-enabled computer applications will help primary care physicians to better identify patients who require extra attention and provide personalized protocols for each individual. Primary care physicians can use AI to take their notes, analyze their discussions with patients, and enter required information directly into EHR systems. These applications will collect and analyze patient data and present it to primary care physicians’ rights alongside insight into patients' medical needs proving to be an important and necessary partner for all doctors now in the twenty-first century.