For the past few years, the pace of change in education has been relentless. As schools grapple with profound challenges, the COVID-19 pandemic relief funding is slowly coming to an end. Meanwhile, new technologies continue to emerge at an unprecedented rate. These innovations have wide-ranging implications for education, from the rise of cheating facilitated by AI-powered chatbots to the integration of artificial intelligence as teaching assistants or even students in classrooms.
This rapid wave of change can feel overwhelming for some educators and school leaders. Many connect AI to broader societal shifts that they believe have negatively impacted students. Robin Lake, director of the Center on Reinventing Public Education, notes that some educators associate AI with social media and cellphones, leading to understandable apprehension: “It’s kind of scary if you think about it too long.”
However, Lake is among those who believe that new technologies, if harnessed correctly, can lead schools towards a more promising future by addressing disparities in education across the United States. Education leaders must start leveraging AI to transform teaching and learning in ways that benefit all students, especially those from low-income and historically disadvantaged backgrounds.
Hazard Lights
The use of AI in education dates back to at least the 1970s, but recent technological advancements have coincided with heightened scrutiny on student outcome disparities, exacerbated by the pandemic and societal movements such as Black Lives Matter. AI holds the promise of promoting equity through personalized learning and enhancing efficiency for overburdened teachers.
In late 2022, the White House introduced a “Blueprint for an AI Bill of Rights” to bolster privacy protections. Furthermore, the U.S. Department of Education and Digital Promise have provided recommendations to ensure responsible AI use in education to promote equity and support teachers.
Despite these efforts, concerns persist that AI could inadvertently perpetuate biases, whether through biased algorithms or automated assessments that fail to consider individual student experiences. Early data indicates that AI may widen disparities, with educators in suburban schools reporting more exposure to AI but less training than their urban or rural counterparts.
Big Promises — or Problems
Advocates emphasize the need for strategic investments and policies to ensure that AI serves all students effectively. The Center on Reinventing Public Education calls for increased state engagement in testing and implementation of AI in schools, along with clearer federal guidelines and support.
However, critics question whether AI can fundamentally address structural issues within schools. Concerns have been raised about the potential overreliance on screens and virtual learning, which could exacerbate existing problems such as mental health issues and academic performance.
Rina Bliss, an associate professor at Rutgers University, warns that excessive use of AI could create a tiered education system, privileging affluent students with hands-on learning experiences while disadvantaging others with screen-based instruction. She stresses the importance of maintaining a balance and not relying solely on technology to address broader educational challenges.
As educators navigate the complexities of AI integration, cautious optimism and thoughtful planning are key. While AI is not a cure-all, there is potential to leverage it effectively to close learning gaps and enhance educational outcomes. By approaching AI implementation with a clear vision for student success, educators can ensure that technology serves as a valuable tool rather than a hindrance.
Ultimately, as we venture into this new era of AI in education, maintaining a sense of hope and purposeful action will be crucial. While the road ahead may be uncertain, embracing innovation and adaptability can pave the way for a more inclusive and equitable educational landscape.
