Bridging the gap for underserved populations: Personalized AI solutions for college access and learning support

Abstract The evolution of artificial intelligence (AI) technology offers promising solutions to underserved populations in the United States. AI tools can reduce college access and academic barriers for low‐income students, first‐generation college students, racial and ethnic minorities, individuals with disabilities, and students living in rural areas. While AI tools offer support to college students from all demographics, they offer uniquely individualized assistance to underserved students to overcome the complex postsecondary schooling challenges they face. Examples of the nuanced, often complex, obstacles faced by these vulnerable students are discussed along with brief descriptions of AI tools that can help. AI tools leverage the power of high‐speed computing, expansive access to information, machine learning capabilities, and natural language processing. Utilizing the power of AI tools, vulnerable learners can increase their access to financial, academic, and social resources needed to attend and be successful in postsecondary education. AI tools also help close opportunity gaps as they provide means by which college students gain increased independence and control over their educational and career journeys. Note that the AI tools referenced in this article are included as examples only. We encourage ongoing discussion of AI‐powered tools and solutions to help underserved students gain more access to higher education and get individualized support for vulnerable learners. Practical Takeaways Highlighting the potential of AI in addressing educational inequalities. Using AI in higher education settings for educators to better understand and respond to student needs. Implementing AI usage in higher education settings for underserved populations to reduce dropout rates. Leveraging technology to offer tailored guidance, bridging gaps, and fostering community among the underserved populations in higher education.

Authors

Publication Details

Journal
New Directions for Higher Education
Published
2024-08-12
DOI
https://doi.org/10.1002/he.20511
Citations
9
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
3.71
Controls
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article

Bridging the gap for underserved populations: Personalized AI solutions for college access and learning support

Diane L. Johnson, C Davis
9 citations
New Directions for Higher Education
Online Learning and Analytics
3.71
article

Bridging the gap for underserved populations: Personalized AI solutions for college access and learning support

Diane L. Johnson, C Davis
article en
9 citations

Abstract

Abstract The evolution of artificial intelligence (AI) technology offers promising solutions to underserved populations in the United States. AI tools can reduce college access and academic barriers for low‐income students, first‐generation college students, racial and ethnic minorities, individuals with disabilities, and students living in rural areas. While AI tools offer support to college students from all demographics, they offer uniquely individualized assistance to underserved students to overcome the complex postsecondary schooling challenges they face. Examples of the nuanced, often complex, obstacles faced by these vulnerable students are discussed along with brief descriptions of AI tools that can help. AI tools leverage the power of high‐speed computing, expansive access to information, machine learning capabilities, and natural language processing. Utilizing the power of AI tools, vulnerable learners can increase their access to financial, academic, and social resources needed to attend and be successful in postsecondary education. AI tools also help close opportunity gaps as they provide means by which college students gain increased independence and control over their educational and career journeys. Note that the AI tools referenced in this article are included as examples only. We encourage ongoing discussion of AI‐powered tools and solutions to help underserved students gain more access to higher education and get individualized support for vulnerable learners. Practical Takeaways Highlighting the potential of AI in addressing educational inequalities. Using AI in higher education settings for educators to better understand and respond to student needs. Implementing AI usage in higher education settings for underserved populations to reduce dropout rates. Leveraging technology to offer tailored guidance, bridging gaps, and fostering community among the underserved populations in higher education.

New Directions for Higher EducationVol. 2024(207)
No poverty
Openalex Percentile: Top 6%
Online Learning and Analytics
3.71
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Bridging the gap for underserved populations: Personalized AI solutions for college access and learning support — Diane L. Johnson, C Davis · New Directions for Higher Education (2024) | TGRS Research Map | TGRS