homework answers ai
The Impact of Artificial Intelligence on Homework Answers
With the advent of technology and its advancements happening day by day, machines are replacing humans at various tasks. They are performing jobs and services faster and more accurately than humans ever can. The shift from the agrarian economy to the industrial revolution finds today’s kids being forced to find time for their studies after their long working hours. Parents who held a strong belief in education sent their kids to school, as that was the “primary” source to attaining knowledge. Today, millions have attended schools and yet remained uneducated. This highlights the fact that schools are not conducting their responsibility to promote learning among students. Students are increasingly finding themselves in a slump of education because they have attended school, but learn almost nothing from it. During the past century, machines have taken over the jobs of many farmers and laborers, forcing them to find other ways of employment. Similarly, today’s students are finding homework a meaningless repetition of the same material that they learn from their teachers. As a result, there is a demand for a new source of learning and education, something that can actually promote learning in an efficient manner. The creation of the AI tutor/teacher is an innovative new method of teaching that has emerged as a result of research in the field of artificial intelligence. This project aims to explore the impact of AI tutors on homework. Artificial intelligence research has been ongoing for over two decades. There have been many successful attempts to create intelligent tutoring systems and AI tutors that have proven to be more effective than human tutors. Many claim that AI tutors are beneficial learning methods. For students, having an AI tutor is a one-on-one chance to actually learn the material taught in class. As the AI tutor is always available, students can do constructive learning anytime, an option not always available with human tutors. The fact that the student is actually learning and absorbing the material can be seen from the various responses. On the other hand, trying to cheat on an AI tutor is a redundant level of work since the tutor already knows if the answer provided is correct or incorrect. If a student makes a mistake, the AI tutor can provide feedback which helps the student understand their error and learn the correct method. This type of immediate error correction and feedback is an essential learning method and is something that students fail to receive from their teachers on homework and exams. AI tutors can also be easily customized to fit the needs of the student. This is an advantage over human tutors and homework, which have a fixed curriculum. However, adapting AI tutors to be the new method of learning will still require time to gather the support of parents and educators.
One of the most frequent concerns I hear from other teachers is how they can build homework questions for their lessons/incorporate more technology into their lessons. My response: “Why should all student work be on loose-leaf or an identical copy of a teacher-created assignment?” Using a website with artificial intelligence to generate practice problems and answers is a great start. The teacher can specify exactly what type of problems he/she wants the students to generate, the program creates the questions and can generate an answer key for the teacher. Step-by-step guided solutions can be created for each problem for additional reinforcement for the students. AI technology is available to build a math problem from scratch (in an intuitive question language format) that has a unique answer and dynamically generated parameters so that students of a class can have their own version of the problem and avoid cheating. Problems can be authored by teachers or generated on the fly from a problem type. Static and dynamically generated problems are stored in a central problem repository, making it easier for teachers to assign problems from the repository to their classes. AI also has the capability to create a tutor for the program, which escorts students through the steps of the problem and will be language localizable to assist ESL students. The flexibility of free response and computer input questions to assess student learning will provide immediate feedback to students and teachers. This program would allow students to do an assignment online, while giving the teacher the ease of assigning problems, and maintaining an evaluated record of student and class progress. Yet another way that a teacher can avoid creating a homework assignment but have questions available for students comes in the form of “stealing”. If a teacher finds a web page with a great math question, the teacher can use AI to cite the question from the external source and store it away into a problem set that he/she can later assign to a class. A code is generated and tagged to the question’s parameters so that if the external source question is edited in the future, the stored version of the question will automatically update. With the fast evolving world of technology and the common core standards around the corner, AI has the tools that can bring many benefits to teachers and students for years to come.
The second concern is for the students’ education. Because of the availability of offline and online academic dishonesty, students are learning less and less. They then find themselves in a position where they need to know a term or perform a procedure, but they have not learned it and cannot easily find a means to discover that information now that the assignment is already turned in. This can lead to poor grades on a test or quiz, and the affected student may then seek more direct help in the form of paying someone to do their assignments for them. This presents a direct conflict with AI’s helpful abilities. Meeting someone else to take an assignment could be avoided if an intelligent tutoring system were helping the student learn the material the whole time.
Teachers have discovered that students who turn in assignments from homework help sites receive a passing grade even when they did not answer the assignment questions. Many homework assignments are for completion only, and teachers do not thoroughly look through the assignment to make sure the student understands the material. Instead, they just glance over the assignment to ensure it is completed. Students who turn in answers from the answer key deprive themselves of the practice acquired by doing the assignment, thus defeating the whole purpose of practicing to learn the material.
The emergence of online homework help sites has created ethical concerns for teachers and parents. The primary concerns lie in two areas: the validity of the assignment turned in by students and the students’ education.
Within the 21st century, it is very likely that learners will have the ability to access personalized, adaptive learning experiences rich with data and outcomes. One of the ways that AI will be applied to our education systems will be through the adoption of intelligent tutoring systems. These ITS are a huge contrast from the multiple choice quizzes that are commonplace within education today. They will provide immediate, specific feedback to students as they work through problems, adjusting to that student’s particular learning pace. ITS will be a powerful tool for teachers too as they will use artificially intelligent data mining and analytic techniques to evaluate a student’s knowledge. This data can be used to make comparisons between how students learn, identify and suggest more effective learning strategies, and improve lesson plans based on each student’s needs. Another way that AI will impact education will be through automation and the freeing up of resources. Education is currently a very labor-intensive industry and so every gain in teacher productivity tends to lead to more work for teachers, i.e. setting more homework or improving the quality of feedback. AI, however, stands to reverse this trend. For example, over the last few years, there has been a growing trend in higher education towards using plagiarism detectors. While these have been effective in reducing plagiarism, manual checking of suspicious papers is incredibly time-consuming. New AI can automate this process, and some new essay writing AI will be able to produce standardized essays which can be used to train writing detectors. Other possible uses of AI could be in marking, by using natural language processing to better understand student answers and by automating the generation of multiple-choice questions and quizzes from educational material.
A major issue with AI education is that it is generally agreed that education is a preparation for adult life in addition to being the acquisition of knowledge and skills. If students are to use AI in learning to gain knowledge, it is correct that the AI will need to be adjusted for simplicity, as the difficulty of information given must increase as the student’s age does. The ALEC project is an inexpensive version of a tutor bot, and while it has shown some effectiveness in teaching children simple skills, it is far from certain that the same methods will carry students through their entire education.
While AI machines may become sophisticated enough to find the correct information, the possibility of teaching it to present the correct information in varied creative methods is a very difficult task.
For domestically bred AI, it is certainly possible that the issues mentioned could be rectified. AI itself may certainly improve in accuracy, and sifting through the ever-increasing amount of internet information will become easier. The credibility of AI, however, is in question. If AI simply presents information that is less biased and more accurate, but does not present the method of how this information was found, then it teaches the student very little. A very important part of research includes learning where to look and how to determine the credibility of a source. Relying too much on AI to circumvent these very same problems can result in students using AI simply to do their assignments for them. The Oracle Bot example above is evidence of this and reiterates the potential shift from objective to task-based learning.
Implications of this magnitude are vitally important. As the internet continues to allow students access to information across the globe, the necessity of quality information is at least as important as simply receiving any information. Although bias, inaccuracy, and a lack of credibility affect the internet today, it will be the discussion whether AI can remove these issues or exacerbate them that will eventually decide whether the technology is a positive or negative contribution to education.
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