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The Benefits of Using AI for Homework Assistance

1. Introduction

In the past, homework help has mostly been provided by adults – either professional tutors or family members. However, increased technology hasn’t always resulted in better educational assistance for kids. While students can use the internet to do research, many still struggle with math and science-based problems. It’s no surprise there are so many homework-help services online now. Still, they pretty much all boil down to asking somebody else to do your homework, and doesn’t always result in employment of technologies to cut out the busywork, and sidestep re-teaching something that a computer could remember far more accurately than a human. High-end, intelligent homework-help services could make a substantial dent in offering help to students without essentially doing the work for them. It’s also possible that intelligence on par with that of a human tutor could be used to teach a concept to a student to whom it was unclear the first time. Many adults recall a math teacher repeatedly saying “It’s easy” and knew from the confused faces in the room that it wasn’t. AI tutoring would save such students from unhelpful repetition or explain that seems patronizing. And indeed explaining why a certain answer is wrong often makes more sense to a student than why the right one is right. Rote drills in a given math or grammar subject in which the student already knows the topic, being often employed as busywork in classes, could be quickly tested for mastery to spare the student the boredom of doing a task he doesn’t need to do. Elucidations and custom-tailored tests can be automatically generated by the computer without need for supervision.

2. Advantages of AI Homework Assistance

Tutors who are currently teaching will benefit from AI because it can use special software to create lesson plans for students based on their progress. Tutors and teachers have more information on a student’s progress in a subject over any given amount of time than ever before. In the past, they were responsible for creating lesson plans based on limited information that was often outdated and their best guesses. Now, AI can assess a student’s skills and knowledge and create a lesson plan that will be effective for the student. This will allow students to get the most out of their tutoring or teaching, and is a huge step forward for the personalized education movement. In the future, it may be possible for AI to simply teach students directly. Now? That would be a depressing solution for a human tutor who was just put out of a job but it could potentially still save the student money for a better quality of educational assistance. Just a little food for thought. The obvious problem that students typically have with homework is that they do not get enough feedback. They can attempt the work, get it wrong, do not know that it was wrong, and learn the material improperly. AI programs can automate the feedback given to students. An example would be an AI program that was used in a math class. The student attempts a math problem, inputs the answer into the program, and the program tells the student whether or not the answer was correct. If it was wrong, the program would give the student a detailed explanation of the problem and how to solve it correctly. Feedback can be more valuable than the actual tutoring or teaching a student receives and this is one of the big advantages of AI programs over actual tutors. AI can also store a record of a student’s work and answers, and compare that with the best method for solving a problem to assess where a student went wrong. This information can be used to help both the student and the teacher, but in the end any students who grew up without such AI programs will have gotten the short end of the stick but of course, technology gets better with time and will eventually reach most people in some shape or form.

3. Enhancing Learning Experience with AI

AI provides personalized learning to students through personal tutors, which are available anytime, anywhere. This provides valuable learning experience to students who struggle with certain topics. AI can provide various techniques for student interaction. This is seen with a game-based learning approach. A well-known example would be Duolingo. With Duolingo, it creates a fun and easy approach for students to learn new languages. This helps students learn a new language in a more effective approach as well as making it more enjoyable. AI is able to stimulate learning experience and deliver better outcomes. This is seen with ITS (Intelligent Tutoring Systems). ITS is specialized in tailoring to each student’s individual needs. For example, there is an ITS system called Wayang Outpost. This system uses a gaming environment to model students while they learn Newtonian physics. This system gives the student-test taker verbal quizzing and uses problem-solving techniques to help with the learning process. These functions help to identify certain struggles students may have with the certain topic and provide leverage to the mastery of the topic. By doing so, AI can enhance a student’s learning experience. Another example of how AI can enhance a student’s learning experience is seen through virtual simulation. Virtual simulation can provide an environment for learners to solve problems and think creatively without consequences. This is seen with a tutoring system called BetterAccent. This tool provides a 3D environment for English pronunciation learning. Learners can practice English speaking skills by talking to the virtual characters, mimicking the character’s pronunciation, intonation, rhythm, and pace. Learners will then receive feedback and a score to aid in improving their pronunciation. This type of system can significantly develop an important skill much faster than a conventional tool. The availability and easy access to a vast amount of resources and information is a notable benefit that AI can bring in enhancing learning experience. Web companies customarily present online course materials and there is a growing trend of freely accessible education resources from around the world. However, there is one service from AI called Wolfram Alpha that is a computational knowledge engine. This engine provides a different solution towards the answering of a vast array of topics. Step by step solutions are generated for simple calculation problems, and the ability to generate a detailed explanation for a given topic makes it an incredible tool to have. This could eliminate the limitations of human knowledge and provide students with an answer that satisfies their curiosity. This can be used as a self-study tool from high school students to higher education. This can aid in understanding a specific topic from the detailed information received and can be a fallback tool used if a student is stuck on a particular topic. Wolfram Alpha is also a good tool for a teaching assistant. With the ability to input questions and generate a solution and an alternative explanation, this would be a lot easier compared to asking a person.

4. Addressing Concerns and Criticisms

Are there any downsides to AI homework assistance? Yes, a number of serious criticisms have been leveled at this technology. Firstly, by making it easier to complete homework, an increased dependence upon AI homework help could lower students’ resilience in the face of tough problems. If students are accustomed to receiving immediate help from AI agents whenever they struggle, it could impede the development of what Stanford researcher Carol Dweck calls a “growth mindset”. Dweck’s research has shown that a student’s beliefs about their own intelligence can have a profound effect on their motivation, learning, and school achievement. In general, students with a growth mindset view intelligence as something that can be developed and are more likely to embrace challenges, persist in the face of setbacks, and see effort as the path to mastery. In contrast, students with a fixed mindset believe that intelligence is a static trait which they either possess or do not, and often avoid difficult tasks that might expose a lack of ability. According to Dweck, the more that students are conditioned to believe in their own fixed intelligence, the more averse they become to learning and taking risks. An understandable desire to avoid mistakes and the embarrassment of “being stuck” on a problem could lead students to seek avoid tougher homework questions that are essential for developing deep understanding of mathematical and scientific concepts. Consequently, there is a risk that widespread use of AI homework help could lead to U-shaped learning trajectories for some learners, where performance in the short term increases, but achievement of true mastery decreases due to a lack of practice and exposure to challenging material.

5. Conclusion

Artificial intelligence in homework systems may nonetheless have the capacity to fill this role, providing an intelligent and personalized tutor while doing so at a reduced cost. One of the earliest versions of such a system is the Bayesian Logic (BLaZe) system currently being developed at UC Berkeley, which is designed to provide students with intelligent tutoring in algebra and is aimed at providing a free and easily accessible education to students. BLaZe tutors a student by asking questions and receiving answers in free form natural language. If at any time it is unsure of what question to ask next to best help the student, it can formulate a probability distribution over the student’s current impediments and compute the entropy of this distribution, with high entropy corresponding to a situation where the tutor has no idea what to ask next. In this case, the system can ask the teacher for the best question to further narrow down the student’s specific issue. BLaZe has the capability of adapting to the student’s learning style by generating a probability distribution over the student’s learning style and comparing it with the distribution of the method of answering questions to pick the next line of tutoring that best matches the student. BLaZe has undergone limited testing and is not yet available to the public. Initial results on a small sample of students have shown a strong improvement in test scores. High school algebra students working with BLaZe on the topic of solving equations showed an average 24-point improvement in test scores compared to 4 points for the control group. In the future, we can expect homework systems with AI tutoring to provide students with a similar level of tutoring to that of a help session with a human tutor but at a reduced cost.