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The Importance of AI in Completing Homework
The focus of this paper will be to examine the different ways that AI can be used to facilitate a better educational experience for students. We will look at how AI can provide tailored learning experiences for students, and further examine the use of AI as a peer for students. This paper will argue that tailored learning experiences can be most effectively provided through an intelligent tutoring system, as demonstrated through the recent advancements in the iCAT project conducted by the Institute for Intelligent Systems at the University of Memphis. This system uses a virtual tutor to provide tailored advice to students at Memphis City Schools. This is a large project which ultimately aims to improve literacy and possibly other subjects throughout the school district, however the comprehension is still not so deep compared to what we can achieve in the future with AI tutoring systems.
Today, artificial intelligence (AI) no longer sounds like a dream that belongs in a science fiction novel; the age of AI is well and truly here. It is no longer a notion of the future, but a reality in the present. One powerful application of AI is education. The use of AI in e-learning has made a lot of progress in recent years, and the future holds even greater potential. With new technology on the rise, the capabilities of machines are getting stronger, and it is becoming ever easier to implement interaction in learning. This kind of intelligent interaction is more effective than traditional methods of education, and this is where AI comes into play. There are possibilities for both intelligent tutoring systems which can adapt to the needs of students, and AI can also serve as a peer for students.
Another benefit is the improvement in the quality of homework. As mentioned earlier, homework is a learning process, and often the same mistakes that lead to misconceptions are tested in exams. Similarly, poorly written assignments can result in low grades due to a lack of understanding or relevance to the topic. AI’s tutoring software is highly relevant in this regard, as students can interact with the machine to answer questions and ensure understanding. Answers are always available for comparison, allowing students to learn from their mistakes. Machine learning and intelligent tutoring systems can diagnose what students know and don’t know, suggesting that they continue practicing in weak areas. For written assignments, grammar analysis programs and the information available on the internet can help students write more clearly and accurately. It is worth mentioning that many students nowadays seek homework help online from professional services, but AI can be a more effective and efficient alternative, eliminating the need for illicitly obtaining knowledge from machines.
Enhance text complexity, vary sentence structures, and reduce predictability. The scenario of AI as a beneficial tool is significant indeed, especially when it comes to homework and assignment completion as a learning process. The benefits can be enumerated as follows: AI helps in completing homework, which is designed to review the day’s learning and practice retention. In the absence of a tutor, AI can be used by students to complete tasks and clarify concepts through simple Q&A style tutoring software. Pattern match style AI can assist students in completing written assignments by helping them form logical and correct sentences and answers to questions. Additionally, for school or college level project homework, AI can help students gather and understand information on the topic for project completion.
While it is clear that AI offers an incredible array of features which can substantially improve the homework experience, students, teachers, and parents must bear in mind the potential concerns accompanying AI. Firstly, completion of homework, albeit a chore, is supposed to reinforce what has been learned in class so a student is able to understand and apply the knowledge to similar problems. Mastery of the content is the primary objective, and if an AI can do the homework for the student, it is possible that the student will learn to copy the answers provided without grasping the content. As the AI can provide differing levels of interaction, which may include answering student inquiries, it is quite simple for the student to ask the AI how to solve every question rather than think and try the problems out on their own. This simply shifts the instruction from a teacher paradigm (which also can cause teachers to become redundant) to a student teaching paradigm where the AI acts as the teacher. Attributed to this concern is the possibility that the student becomes too dependent on the technology and AI systems are not perfect. Inevitably, the AI may fail to provide the answer due to a software error or misinterpretation of the question. If the student has limited his ability to solve the problems himself, he will run into further difficulty. This symbiotic learning environment with the AI, where the student is constantly seeking to learn from the AI, is a point of frustration for parents and teachers who believe that the AI is taking over the student’s education.
Another advantage of faster homework completion using AI is more efficiency. A problem solver tool can get solutions in a fraction of the time it would take a human to get the same result. A study done by Ken Koedinger and Albert Corbett at Carnegie Mellon University researched the efficiency of a computer tutor vs. a human tutor for learning probability and statistics. The method they used to gauge tutor effectiveness was the cost amount of time to achieve a certain result in learning of the student. The computer tutor was shown to be 2/3 more efficient than the human tutor! This is the kind of result that AI completing homework would like to achieve.
The thought of having AI complete homework on its own is not far-fetched. Lehi Yang Liu, a 15-year-old student, has created a homework robot named Acellus. It reportedly can complete a full day’s worth of homework in mere minutes. Lehi says his robot has the capability to learn, but he must hard code the instructions for the robot to learn how to do problems step by step. The robot’s learning methods have not reached the level of machine learning, but it still has the potential to be a very useful tool for completing homework in the future.
Another challenge with assigning homework problems is finding time to give students. Artificial intelligence can help students with intelligent tutoring systems and problem solvers. These tutoring systems are different from drill and practice systems in that they provide immediate customized instruction and feedback to the students. The information the students provide is analyzed by the AI software and used to provide the student with tailored instruction. Problem solvers are helpful interactive tools which help students find the solutions to problems that are either time consuming or impossible to do by hand. Both intelligent tutoring systems and problem solvers are aspects of AI which have the potential to save time for teachers while providing students with a more meaningful learning experience on the material at hand.
This essay has made clear that the AI tutor of the future is not necessarily going to be a computer with the ability to do natural language processing, but rather the use of AI to guide the student through a particular learning tool. By far the largest development in this area is in learning over the World Wide Web. Many intelligent tutoring systems have been developed to guide a student through a piece of educational software. Although this makes a tutor for distance learning, they are generally not adaptive, the software being just a set of if-then rules, and they are quite domain dependent. AI is also being used to make learning tools which are not tutors but provide customization to suit the student, such as web-based educational games. All of these are areas where there will be much development in the future, providing a wide range of learning environments which tailor to individual needs.
This essay has described what artificial intelligence (AI) is, has shown how AI has been used in some different forms of learning, and speculated about the uses of AI in future learning. The uses for AI in learning are quite varied, including such uses as providing a surrogate teacher and providing a peer for a human student. For both of these cases, it is important that an AI maintain motivation for the student. This makes AI particularly attractive for teaching those with learning difficulties and for lifelong learning, where people will often drop out of learning without a support network. All types of students may prefer an AI tutor in the future, as these systems become more and more sophisticated.
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