{"id":7926,"date":"2024-04-22T08:00:38","date_gmt":"2024-04-22T13:00:38","guid":{"rendered":"https:\/\/www.everylearnereverywhere.org\/?p=7926"},"modified":"2024-04-22T08:55:31","modified_gmt":"2024-04-22T13:55:31","slug":"decoding-generative-ai-and-equity-in-higher-education","status":"publish","type":"post","link":"https:\/\/www.everylearnereverywhere.org\/es\/blog\/decoding-generative-ai-and-equity-in-higher-education\/","title":{"rendered":"Decoding Generative AI and Equity in Higher Education"},"content":{"rendered":"<p>Since consumer-use AI tools like ChatGPT and DALL-E have been released in the last two years, much has been said and written about the influence this technology might have in higher education. For example, many articles address anxiety about academic dishonesty or about teaching jobs being replaced. Others explore opportunities for innovative assignment formats and assessments. Few of these discussions look at generative AI particularly from an equity perspective, and when we do consider AI and equity together we may see a different set of opportunities and challenges.<\/p>\n<h2>Opportunities for accessibility and digital learning<\/h2>\n<p>\u201cOne thing exciting about AI has to do with accessibility,\u201d says Van Davis, Chief Strategy Officer of WCET (WICHE Cooperative for Educational Technologies).<\/p>\n<p>\u201cWe&#8217;re seeing really good text-to-speech development, and we&#8217;re starting to see speech-to-text as well. So, for folks who may struggle with certain forms of communication, AI has the opportunity to provide a new tool for accessibility.\u201d<\/p>\n<p>For students with learning disabilities, generative AI has the potential for an engaging, efficient alternative to traditional classroom tools. Davis says he\u2019s observed educators creating parameters within ChatGPT to create interactive scenarios that place students in different historical time periods like Renaissance Italy. Essentially, the chat tool is modified to engage with students and present material in a new way.<\/p>\n<aside class=\"inline-callout\">\n<h2>Recent webinars on generative AI and equity<\/h2>\n<p><a href=\"https:\/\/www.everylearnereverywhere.org\/es\/workshop\/ai-in-higher-education-the-student-experience\/\">AI in Higher Education: The Student Experience<\/a><\/p>\n<p><a href=\"https:\/\/www.everylearnereverywhere.org\/es\/workshop\/building-ai-literacy-with-students\/\">Building AI Literacy with Students<\/a><\/p>\n<\/aside>\n<p>Another example of expanding accessibility is a faculty member with ADHD who wrote in <em>Inside Higher Ed<\/em> about <a href=\"https:\/\/www.insidehighered.com\/views\/2023\/03\/01\/chatgpt-can-help-students-and-faculty-adhd-opinion\">using generative AI tools for their own routine tasks like writing conference proposals<\/a>. While the AI-generated product still required review, it streamlined the faculty member\u2019s process.<\/p>\n<p>Pairing generative AI and equity also has many implications for digital courseware. Davis says many current integrations are on the administrative side of the tool, where faculty get assistance creating course outlines or quizzes. Some institutions are also experimenting with ways that generative AI can be used in developing assignments, he says.<\/p>\n<p>\u201cParticularly with composition courses, there are some really interesting things being done with how students are asked to use the technology in a way that is both pedagogically appropriate for the student, but also in a way that doesn&#8217;t succumb to academic integrity issues,\u201d Davis states.<\/p>\n<p>For example, in one assignment he recently observed a colleague use, students used AI to generate a paper, and then the student\u2019s original work was a critique of that paper.<\/p>\n<p>\u201cThey basically grade it and fix it and learn to be able to have a reflective conversation about it,\u201d Davis says. \u201cSo it tests a student&#8217;s subject-matter expertise, but it also helps their metacognitive abilities.\u201d<\/p>\n<p><em>Related reading \u2014 <a href=\"https:\/\/www.everylearnereverywhere.org\/es\/blog\/using-digital-multimodal-composition-to-achieve-greater-equity-in-the-classroom\/\">Using Digital Multimodal Composition to Achieve Greater Equity in the Classroom<\/a><\/em><\/p>\n<h2>Pitfalls of generative AI in education<\/h2>\n<p>For many educators, the initial fear with generative AI stems from academic dishonesty. In response, many colleagues are using software products that claim to detect plagiarism. As many others have argued, the <a href=\"https:\/\/www.insidehighered.com\/views\/2022\/06\/30\/academic-integrity-issues-are-not-race-neutral-opinion\">discourse about plagiarism in higher ed is not race neutral<\/a>, so it\u2019s unlikely that conversations about controlling the use of AI will be.<\/p>\n<p>\u201cOftentimes our conversations sort of start and stop with academic integrity,\u201d Davis says. \u201cYes, we need to be aware of that. But from an equity perspective, there are bigger issues faculty need to talk to their students about.\u201d<\/p>\n<p>One issue is <a href=\"https:\/\/www.everylearnereverywhere.org\/es\/blog\/what-are-the-risks-of-algorithmic-bias-in-higher-education\/\">algorithmic bias, which is discrimination against one group over another due to the recommendations or predictions of a computer program<\/a>. Systematic and repeatable errors in a system can create unfair results that privilege one group of users over another. An algorithm and its recommendations will appear to be impartial because biased instructions are not explicitly written into it. But the data the algorithm is learning from could have structural and historical bias baked in.<\/p>\n<p>For example, suppose a college admissions office wants to use AI to identify applicants who are likely to succeed at their college and the AI relies on that institution\u2019s previous admissions and graduation data. If that data has a lot of students with high school AP classes in it, the software will train itself to treat more AP classes as a signal of quality \u2014 even without explicit instructions \u2014 and thereby replicate an existing structural bias.<\/p>\n<p>\u201cWe have these technologies that we think are dispassionate and incapable of oppression,\u201d Davis says. \u201cIn reality, they\u2019re extraordinarily biased. The danger is that we are trained to think it\u2019s unbiased and to trust it more than we trust humans.\u201d<\/p>\n<p>Looking at generative AI from an equity perspective also means thinking about access, since many tools are behind paywalls. For example, many students are using ChatGPT, but some are using ChatGPT Plus \u2014 which is more flexible and more accurate \u2014 at a cost of $20\/month.<\/p>\n<p>\u201cWe run the risk of exacerbating our existing digital divide,\u201d Davis says. \u201cWe\u2019re going to see some students have access to the best, know how to use it, and have an advantage searching for jobs or trying to get into graduate programs.\u201d<\/p>\n<p><em>Related reading \u2014 <a href=\"https:\/\/www.everylearnereverywhere.org\/es\/blog\/how-college-faculty-can-confront-unconscious-bias-in-edtech-tools\/\">How College Faculty Can Confront Unconscious Bias in Edtech Tools<\/a><\/em><\/p>\n<h2>Striking the right balance between AI and equity<\/h2>\n<p>\u201cGenerative AI is not the Terminator,\u201d says Davis. \u201cIt uses probability to predict the next word in a sequence and create new material. There\u2019s a future where generative AI may help develop content, but it\u2019s never going to usurp the role of subject matter experts.\u201d<\/p>\n<p>As Davis has written earlier on this topic, <a href=\"https:\/\/wcet.wiche.edu\/frontiers\/2023\/04\/20\/strongequity-in-a-world-of-ai\/\">the technology isn\u2019t neutral<\/a>, nor are our responses to it. Generative AI has the opportunity to revolutionize the classroom and digital learning. But to ensure those changes are for the better, it\u2019s important to assess the risks and the opportunities from an equity perspective.<\/p>\n<a href=\"https:\/\/www.everylearnereverywhere.org\/es\/service\/data-informed-instruction-for-equitable-digital-teaching-and-learning\/\" title=\"Use data for equitable teaching and learning\" target=\"_blank\" class=\"btn false\">Professional development opportunity: Use data for equitable teaching and learning<\/a>","protected":false},"excerpt":{"rendered":"<p>Since consumer-use AI tools like ChatGPT and DALL-E have been released in the last two years, much has been said and written about the influence this technology might have in <a href=\"https:\/\/www.everylearnereverywhere.org\/es\/blog\/decoding-generative-ai-and-equity-in-higher-education\/\" class=\"more-link\">&#8230;<\/a><\/p>","protected":false},"author":13,"featured_media":7927,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7926","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Decoding Generative AI and Equity in Higher Education - Every Learner Everywhere\u00ae<\/title>\n<meta name=\"description\" content=\"When we consider AI and equity together we may see a different set of opportunities and challenges for digital learning.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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