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New Language Processing, Predictive Analytics, and Knowledge Management: Implications for Academic Advising in American Higher Education
Abstract
The traditional interface in American higher education between the student and advisor is personal. But now, Artificial Intelligence (AI)-generated tools such as Natural Language Processing (NLP) (chatbots), Predictive Analytics(PA), and Knowledge Management (KM) have evolved to become technology-based alternatives to human advisors. Advisor acceptance of AI-generated tools is limited despite the numerous organizational benefits. One approach that may address academic advisors' concerns is Explainable AI (XAI), which is AI programmed to describe its purpose, rationale, and decision-making process understandably and transparently. This article consists of four sections. Section 1 examines human and artificial intelligence. Section 2 reviews new GenAI technologies relevant to academic advising. Section 3 considers the historical context for technology integration (or rejection). Section 4 discusses Explainable AI (XAI), Responsible AI (RAI), and how advising and advisors might respond in the face of these new technologies.
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