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Artificial intelligence (AI) is transforming the way students are learning by making it more personalized, engaging, and efficient (Harry, 2023). I chose the education industry because I believe that technology can change the way people learn and how society progresses. Youth are beginning to enter the workforce and they are the people who will impact society, which is why their education and how they learn matter. I find the intersection of technology, education, and the future interesting.

In my Padlet wall, I will explore how AI is used to enhance education through three main examples, such as personalized learning (Knewton), automated grading (Gradescope), and AI-powered chatbots for student support (Georgia State University’s Pounce). Each example will highlight a different way that AI can be used to benefit students and their education but also mention the potential drawbacks in each technology. AI’s growing role in education raises important questions on privacy, security, bias, and even the role of human teachers. While these technologies provide beneficial opportunities to students and teachers, they need to be closely monitored to ensure that education remains true to its nature.

This topic is personally significant to me because it impacts the world beyond the classroom, although this isn’t necessarily evident now. As AI begins to integrate itself into the classroom more, the importance of AI’s role in education will become obvious. The goal of using AI should never be to automate learning, but instead to encourage using AI as a tool for creativity. In this way, human intelligence and technological innovation would collaborate to progress society in a better direction.

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Knewton uses machine learning and adaptive learning algorithms to create personalized study plans based on student performance (Claned, 2024). The benefits of personalized learning AI lies in its versatility and ability to create customized learning paths for each student. By analyzing student performance in real time, the AI is able to identify areas of strength and weakness, and adjust the difficulty to provide targeted practice materials (Hendra, 2023). In addition, it can be incorporated into multiple different educational products and services, meaning that it can be used by students of all ages and educational levels (Hendra, 2023). However, there are concerns regarding data privacy, potential biases, and the accuracy and reliability of these algorithms. Personally, I think personalized learning AI is a valuable tool that allows students to learn at their own pace, making education more accessible and flexible.

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Gradescope uses computer vision and machine learning to automate grading by recognizing handwritten or digital answers, and providing timely and meaningful feedback (University of Miami). The benefits of automated grading is that it reduces grading time, ensures consistent scoring, and provides more meaningful feedback. Auto-grading systems would excel at multiple choice, short answer, or programming assignments, but they would struggle with open-ended tasks (Gao, 2025). In addition, there are concerns about bias and misinformation, where AI like ChatGPT has provided incorrect answers (Gao, 2025). Personally, I believe that a hybrid of AI and human oversight would be the best path to take, where AI can be used for grading multiple choice questions while teachers focus on the short response sections.

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AI chatbots, such as “Pounce” from Georgia State University, uses natural language processing to answer student questions regarding admissions, deadlines, and financial aid, increasing the likelihood of passing classes (Inman, 2022). The benefits of chatbots for student support are that it’s always available, emails reminders about deadlines, and personalizes the support they provide each student. However, chatbots often “lack deep contextual understanding, struggle with ambiguous or complex questions, and may give inaccurate or superficial answers” (Gao, 2025). Personally, I believe that using chatbots in the administration process is helpful in reducing the workload and emails that administrators receive, but also in reducing the time that students need to wait for a reply.

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Future Trends and Ethical Considerations

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Future Trends and Ethical Considerations

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As AI is integrated more into education, it is likely that the education process will become more streamlined for both students and teachers. To start, “educators see opportunities to use AI-powered capabilities like speech recognition to increase the support available to students with disabilities, multilingual learners, and others who could benefit from greater adaptivity and personalization in digital tools for learning” (Cardona et al., 2023). It’s possible that AI could evolve from simple tasks to more complex forms of support, such as planning lessons and engaging in conversational feedback with students. In addition to this, students are able to benefit since AI can personalize their learning experience, provide immediate feedback, create supplement content, etc. (College of Education, 2024).

There are risks associated with the use of AI that should be taken into consideration before usage. The ethical considerations of AI in education include “...potential bias in decision-making, threats to student privacy, lack of transparency, and the risk of over-reliance on automated systems” (Moquin, 2024). Bias in AI refers to when the outcomes become unfair or skewed as a result of problems in the data it learns from, privacy risks refers to the collection of different types of student data, and transparency refers to providing clear explanations to how AI processes data and arrives at conclusions (Moquin, 2024).

Personally, I think the future of AI in education depends on how it gets utilized by the students and teachers. If the AI gets used in a way where it violates the privacy of students, provides misleading information, and gets abused by students, there would be a clear problem with AI usage in academics. However, if it gets used in a controlled manner, then the use of AI in education would be extremely beneficial and help progress society overall. An ethical consideration I find particularly important is privacy. Many students are not educated in the field of AI, opening the doors for a multitude of risks that can potentially arise. Without knowing how AI collects data, students would not be able to accurately gauge how much information they should reveal about themselves.

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Artificial Intelligence has altered the way society approaches education to a significant degree. AI affects employment negatively since it could potentially replace the equivalent of 300 million full-time jobs, especially white-collared workers, and replace as many as two million manufacturing workers (Talmage-Rostron, 2025). In fact, teaching jobs are considered to be “at risk” and 31% of AI experts said that they expect AI to lead to fewer jobs for teachers (Jones II, 2025). AI would affect the privacy of students since it relies on the collection of data from its users. There would need to be regulations placed to protect students by allowing companies “...collect only necessary data, limit their ability to sell this information, and dictate not just parameters for data collection and retention, but also deletion” (Buck, 2023). AI also affects the inequality and inequity in technology since “AI can and has reinforced marginalization of certain groups, such as women, gender minorities, and racialized and low-income communities” (Ravanera and Kaplan, 2021).

On a more positive note, AI has created major improvements in education by helping close achievement gaps, especially for students with diverse learning needs. According to SchoolAI, “custom AI tools create learning paths that evolve alongside each student and directly address educational inequities" (Muncey, 2025). These AI systems can observe how students learn and cater its content and pace to match each student’s individual needs. The existence of these AI learning tools has significant social implications. For one, they can help students with disabilities by slowing down the pace of their learning and tailor the content to their strengths. Additionally, students with language barriers can also benefit from the ability to learn in their native language. Making learning accessible is a major step towards making society more equitable. However, AI in education has its downsides including privacy concerns due to potential biases in the AI training data, and the nature of AI as a data collection tool.

In my opinion, AI is worth implementing into education systems. Although there are risks, using AI in a controlled environment would make AI a powerful tool that creates a more equitable learning environment for students. If executed carefully, the introduction of more and more AI learning systems will empower students with various learning needs and supplement the learning of all students.

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Overall, the research process was successful in that all the information I needed to include for the assignment was readily available. The main takeaway from my research is that AI can improve the learning process for students and the administration process of school personnel, but there are risks like privacy, bias, and transparency that need to be addressed. I believe that AI should be used in school systems since it can dramatically improve the education of students through personalized learning and chatbots. However, schools should also teach students exactly how to use these tools and educate them on the risks associated with using AI. This research has added to my personal knowledge on AI since I was unaware that AI can be used for personalized learning. In my academic experience, I've only been aware of using chatbots for assistance and automated grading, therefore, it was interesting to learn about personalized learning and how it would help students learn at their own pace.

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Buck D. (2023). AI is a serious threat to student privacy. Thomas B. Fordham Institute. [Rational: This article explains the risk to privacy of students and what needs to be done to mitigate those risks.]

Cardona M.A., Rodrigues R.J., & Ishmael K. (2023). Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations. Office of Educational Technology. [Rational: This article provides an overview on the learning and teaching aspect of using AI, and how it has the potential to benefit both students and educators.]

Claned (2024). The Role of AI in Personalized Learning. Claned. [Rational: This article explains the potential uses for personalized learning and provides real world examples, such as Knewton, to demonstrate how AI could get integrated into education.]

Gao Y. (2025). AI and Auto-Grading in Higher Education: Capabilities, Ethics, and the Evolving Role of Educators. The Ohio State University: College of Arts and Sciences ASC Office of Distance Education. [Rational: This article highlights the strengths and weaknesses of using automated grading systems, real world examples of automated grading in use, and the ethical considerations of using AI in education.]

Gao Y. (2025). The Rise of Chatbots in Higher Education: Transforming Techning, Learning, and Student Support. The Ohio State University: College of Arts and Sciences ASC Office of Distance Education. [Rational: This article highlights the strengths and weaknesses of using chatbots in an academic setting, and the views on human vs. AI teaching and learning.]

Harry, A. (2023). Role of AI in Education. Injuruty: Interdisciplinary Journal and Humanity. [Rational: This article provides an overview of the role of AI in education, including mentions of personalized learning, chatbots, and the benefits and challenges of AI in education.]

Hendra S. (2023). Knewton AI: An Adaptive Learning Platform. Medium. [Rational: This article explains how personalized learning AI like Knewton is able to help students in their studies.]

Inman W. (2022). Classroom Chatbot Improves Student Performance, Study Says. Georgia State University: News Hub. [Rational: This article explains the chatbot “Pounce” and its capabilities to assist students in making their college life more structured and successful.]

Jones II A. (2025). Artificial Intelligence is here. WIll it replace teachers? ABC News. [Rational: This article highlights how teacher employment will get impacted by the use of AI in an academic setting.]

Moquin S. (2024). Ethical Considerations for AI Use in Education. Enrollify. [Rational: This article deals with the key ethical concerns associated with the use of AI, including bias, fairness, privacy, and security, and how people can ethically implement AI into education.]

Muncey N. (2025). How AI solutions are bridging achievement gaps for unique learners. Schoolai. [Rational: This article explains how using AI helps students with disabilities and different economical standings, since it allows personalized learning that directly targets their educational inequalities.]

Office of Communications, College of Education (2024). AI in Schools: Pros and Cons. University of Illinois Urbana-Champaign. [Rational: This article highlights the advantages and disadvantages of using AI in an academic setting, where it could help personalize instruction for students but also lead to bias and privacy concerns.]

Ravanera C. & Kaplan S. (2021). An Equity lens on Artificial Intelligence. Gender and the Economy. [Rational: This article explains how AI can affect both equality and equity negatively by promoting stereotypes and reinforcing marginalized people.]

Talmage-Rostron M. (2025). How Artificial Intelligence Will Change the World. Nexford University. [Rational: This article highlights how AI would negatively impact employment since it would lead to a significant cut on white-collared jobs.]

University of Miami. AI-Assisted Grading with Gradescope. University of Miami: Information Technology Learning Platforms. [Rational: This article explains how Gradescope is able to assist educators in grading and providing feedback.]