Exploring the Impact of AI on Personalized Learning in High School

In today’s evolving educational landscape, artificial intelligence (AI) is a double-edged sword—an emerging technology that could either revolutionize learning or exacerbate existing inequalities. The potential of AI to transform personalized learning in high schools is promising, yet it brings forth a series of challenges and ethical considerations that cannot be ignored.

As a rising junior at the University of Virginia, I was a build4good intern this past summer with the Teaching, Learning, and Tech program at New America. My project involved exploring how technology can be harnessed to enhance learning experiences. I was particularly motivated to investigate how AI could both positively impact personalized learning—an approach where instructional methods are tailored to meet the unique needs and learning styles of individual students—and potentially widen existing educational disparities for high school students. As AI’s presence grows, its ability to tailor learning experiences and adapt to individual student needs offers promising advancements. However, the rapid expansion of AI in education also raises critical questions about fairness, equity, and access [1]. To better understand these implications, I examined existing research and interviewed a handful of high school students who shared their experiences, shedding light on the opportunities and risks associated with AI.

Research Findings and Student Reactions

Initial research highlighted both the potential benefits and the concerns associated with AI in the classroom. AI can deliver customized educational experiences and provide feedback tailored to individual needs. For instance, one student shared how AI tools efficiently removed redundant tasks, such as organizing class notes or filling out progress logs, allowing more focus on core learning activities, like engaging in discussions or working on creative projects. Despite these advantages, concerns about the accuracy and fairness of AI systems were prevalent. One student recounted an experience where the grade provided by an AI system differed significantly from the one received from a teacher, confirming concerns raised by scholars about the reliability of such tools [2].

Another student emphasized the critical need for equitable access to AI technologies, sharing that “It’s not like the school encourages it. If you don’t have a personal computer you don’t have access to AI.” This sentiment aligns with findings from Reimagining Education—The Role of E-learning, Creativity, and Technology in the Post-pandemic Era, which notes that AI is not encouraged in some schools, and access depends heavily on personal resources like having a computer at home [3]. This discrepancy points to a larger issue of educational equity, as highlighted in Digital Promise’s AI Literacy Framework, where students without access to AI may be left behind. While high school students expressed concerns about unequal access, the fear that AI might widen the gap between well-resourced and under-resourced schools was prominently discussed in the research findings [4].

Perspectives on AI in Education

The discussions revealed varied views on AI’s role in education. While the potential for AI to significantly improve personalized learning was highlighted in the research, students echoed this idea in simpler terms, with one saying, “AI can give 1-on-1 feedback and work with students personally.” However, they also stressed that its use in schools must be approached with caution, especially due to the lack of proper guidance on how to use these tools effectively [3]. While some students appreciated the personalized feedback AI provides, others expressed concerns that “AI cannot teach” and that they “prefer visible human teachers” as AI reduces meaningful interactions with teachers [1].

One key theme that emerged from both the research and the students' feedback was the necessity for educators to be involved in the development and implementation of AI tools. During the interviews, several students expressed concerns that “teachers really don’t like AI except for platforms like Quizlet and Duolingo.” These comments align with findings from a Bellwether newsletter, which indicate that without adequate training, awareness, and involvement, teachers may struggle to integrate AI effectively into their classrooms, potentially limiting the benefits these technologies can offer [5].

Addressing the Challenges

Based on my existing research I reviewed and findings from the interviews, several key challenges should be addressed to ensure AI’s successful integration into high schools. These challenges include:

• Increased Bias: The risk of AI reinforcing existing biases in education is significant. Regular audits of AI systems were suggested to identify and mitigate biases, promoting equity [4].
• Lack of Transparency and Accountability: A significant concern is the lack of transparency around how AI algorithms function and make decisions, particularly when it comes to grading, tracking student progress, or recommending personalized learning pathways. Students interviewed and educators call for more communication from AI developers, seeking clear explanations of how these algorithms determine grades, assess student performance, and suggest next steps in learning [2].
• Weaker Teacher-Student Relationships: The impact of AI on these relationships is critical. While AI can assist with routine tasks, it should not replace the essential role of teachers in guiding and supporting students [3].
• Access and Equity Gaps: Ensuring equitable access to AI technology is crucial. Without it, AI could widen the gap between well-resourced and under-resourced schools, exacerbating educational inequalities, leaving some students behind [5].

The Opportunities

Despite these challenges, AI holds considerable promise for enhancing education:

• Enhanced Efficiency and Consistency: AI can streamline educational processes, allowing teachers more time to engage with students directly. By handling routine tasks, AI frees up time for personalized instruction [2].
• More Opportunities for Personalized Learning: AI is able to deliver tailored feedback and recommendations could revolutionize personalized learning, helping students learn more effectively [1].
• Insights that are Data-Driven: AI has capacity to analyze data and can provide valuable insights into student performance, identifying trends and patterns that might otherwise go unnoticed [5].

Policy Recommendations

To maximize AI’s benefits while addressing its challenges, several policy recommendations have been proposed:

• Bias Audits and Transparency Requirements: Regular audits of AI systems and clear explanations of algorithmic decisions should be mandated [4].
• Teacher Training and Involvement: Teachers should be involved in AI’s development, with professional development programs to help them integrate AI effectively [3].
• Equitable Access to AI Technologies: Policies must ensure all schools have access to high-quality AI tools, with equity as a core consideration [5].
• Support for Teacher-Student Relationships: AI should complement, not replace, the teacher’s role, enhancing rather than diminishing teacher-student interactions [1].

Conclusion

As AI continues to be embedded into high school education, it is crucial to approach its integration thoughtfully, with a commitment to fairness and equity. While AI offers significant potential to improve personalized learning and enhance educational outcomes, it also presents challenges related to bias, transparency, and access. Research that I reviewed supported the insights gathered from students and emphasized the importance of involving educators in AI development, ensuring equitable access to technology, and maintaining the human element in education. By addressing these challenges, AI can become a powerful tool for promoting educational equity and excellence.

Citations

[1] Teen and Young Adult Perspectives on Generative AI (Common Sense Media Report)

https://www.commonsensemedia.org/sites/default/files/research/report/teen-and-young-adult-perspectives-on-generative-ai.pdf

[2] Teacher Adoption of AI Chatbots (Education Week)

https://www.edweek.org/technology/which-teachers-are-more-likely-to-use-ai-chatbots/2024/06

[3] Perceptions and Barriers to Adopting Artificial Intelligence in K-12 Education (Survey of Educators)
https://www.intechopen.com/chapters/1171043

[4] AI Literacy Framework (Digital Promise)

https://digitalpromise.dspacedirect.org/server/api/core/bitstreams/c09bc1b5-a869-4fc3-b47b-c3bfd6575ca0/content

[5] Amazon’s Generative AI Maturity Readiness Assessment (Bellwether)

https://bellwether.org/ai-newsletter/the-leading-indicator-issue-one/