free ai homework helper

free ai homework helper

The Role of AI in Education: A Comprehensive Guide

1. Introduction to AI in Education

The aim of this book is to shed light on the topic of AI in education. Spurred on by a strong sense of ambition, a motivated and idealistic team, grand visions of machines reading and grading student essays, and a growing demand to transform schools as well as powerful new tools to enable these transformations, AI researchers over the past 50 years have expended an incredible amount of energy attempting to build AI systems that will revolutionize education.

We begin our journey into the world of AI in education by asking the simple-but-deceivingly-complex question: What is AI? By understanding this question—and what AI can and cannot do—we can gain insight into what has been accomplished within the field of AI in education, what may be possible, and, most importantly, what may not be a realistic goal. Finally, with a pragmatic view of what is achievable today and what may be achievable in the future, we can start to make informed decisions about what sorts of projects in AI in education we should invest our energy, time, and hopefulness, and how to assess the current and future roles that AI can and should play in schools, in society, and in the act of learning itself.

2. Benefits of Using AI in Homework Assistance

The process of writing is an intricate and complex one. Assignments do not only aim to train learners in the particular subject areas they are studying, but also function to train learners in the process of critical thinking and acquiring skills needed for day-to-day learning after leaving the course. The process of doing homework is where this learning takes place. While the primary purpose of homework assignment outside of training in the particular skills or concepts associated with the subject matter is to provide opportunities for students to put all these concepts and skills to work. This does not necessarily limit the nature of homework to textbook problems, group discussion, and sharing individuals’ ideas. The educational potential of homework is perhaps often overlooked.

The use of AI in homework systems is rapidly becoming one of the most popular current uses of AI in education. Intelligent systems have been applied to several areas of the learning environment, with great success. However, very little attention has been paid to the specific challenges associated with the use of AI in creating such tools. Homework that is administered online has been around for some time. Taking advantage of online homework systems’ adaptability and vast amounts of data collected, the research presented reveals new insights into students’ learning processes and the skills taught in these courses, allowing for intelligent, adaptive instruction. The system provides individualized tutorial support to help students understand the required skills.

3. Challenges and Ethical Considerations in AI Homework Helpers

The use of AI homework helpers in education is becoming popular due to the development of educational technology tools that facilitate complex cognitive tasks such as programming and science. In this context, homework helper systems based on AI can play a critical role in today’s educational settings where students are overwhelmed with large workloads, difficult tasks, and long-term learning objectives. AI homework helper systems support students in educational tasks by offering pedagogical help and feedback based on learning traces, teaching models, and planning algorithms. However, deploying AI homework helper systems in classrooms raises challenges of accuracy, annotation, accessibility, acceptance, authority, ethics, scalability, and bias.

AI homework helper services currently offered by the industry do not take the learning and skill development experiences of the students into account and are often designed for answer finding for open-ended questions requiring authoring and learning pathways. It is essential to characterize learning traces and model student learning curves, while the fairness of practice in AI-enhanced settings largely depends on ethical designs, use, and policies. In the educational setting, students rely heavily on their AI homework helpers and may ‘learn through them’ at the expense of other, possibly more critical, skills. Their use raises authoritative concerns related to knowledge and skills and perhaps ethical ones related to the question or task at hand. Finally, AI instruction raises concerns on who may or should be allowed to implement and influence the leading AI systems in education. Providing real support to educators through AI maintenance is challenging due to the lack of formal evaluation and testing procedures as well as quality assurance.

4. Best Practices for Implementing AI Homework Helpers in Educational Settings

It’s clear that AI learning tools don’t belong outside of a carefully controlled classroom environment, but what types of controls are needed within? Our recommendations for best practices are informed by the digital learning best practices for K-12 learners of 2019 and 2020.

1. Share the learning task weighting with the learner at the task definition stage. Transparent or complex tasks and accurately defined outcomes mean that learners can anticipate what the model is expected to produce. Clearly communicating what the model is being trained to do reinforces the human role in the loop. For example, “The language model can be used to comment and score the correctness of code by predicting simple tests that the software developer should pass, see the direction and scope of classes that are implemented and see the directionality of statements when read from left to right.”

5. Future Trends and Innovations in AI Homework Assistance

Introduction The general trend in future innovations is to shift from simple forms of AI (weak) to more powerful forms (strong). For simple systems, the language of instruction or classroom function is to be designed with the knowledge and base system in such a way that the system is able to coach the learner in the completion of a limited range of tasks. Stronger AI with natural language capabilities can do away with such constraints. Perhaps the single most important trend is that leading to the development of intelligent tutors (ITS), that is, computer coaching systems that possess extensive knowledge of some rather narrow knowledge domain with a range of programs that allow the learner to consult such a kludgy stand-in for a teacher. Systems today that begin to empirically mimic intelligent tutors include Qualm and Insert. We are still some distance from the ideal, but an explosion of activity among researchers and developers has accompanied the advances in AI and in the psychological and instructional sciences from which ITS stands to benefit.

AI also brings advances in an area of special significance to adult remedial and functional literacy use. AI and computer systems have begun to take advantage of a revolution in education, exemplified by a substantial increase in an understanding of how people learn to work and the instruments that significantly mitigate adult illiteracy. For instance, various word completion exercises that help students develop specific word recognition skills are important for adult learners who may recognize many words when they are seen in their entirety but may have difficulty with segmented words due to acquired phonological processing problems. AI can provide the “expensive, intelligent and unfatiguable but infinitely patient personnel” that literacy suggests are best for presenting students with these and related exercises. Finally, AI systems are beginning to emerge that link education with database technology. Knowledge systems that make use of commercial textual databases or information discovered on the Internet are beginning to appear. We anticipate that instructional assistance that is tightly linked to expert-answer or expert-information support will aid student learning. As a result, the systems that combine the described technologies will enhance overall education, literacy, and adult learning.