Artificial Intelligence for Student Counselling & Guidance

Authors

  • Vanshika Jain Zakir Husain Delhi College, Delhi (INDIA)
  • Sujata Panda O.P. Jindal University, Chhattisgarh (INDIA)

DOI:

https://doi.org/10.62431/87ge3k17

Keywords:

Student counseling, Affective computing, Predictive analytics, Mental health, Emotional well-being support, Inclusive education, Tailored recommendations, Scalable support, Transformative tool

Abstract

Student counseling and guidance play a critical role in supporting learners’ academic success, emotional well-being, social adjustment, and career development in an increasingly complex educational landscape. Traditional counseling models, while grounded in empathy and professional expertise, often face significant limitations such as counselor shortages, growing student populations, diverse psychological needs, and social stigma that discourages help-seeking behavior. These challenges are further intensified by heightened academic pressure, rapid technological change, uncertainty in career pathways, and emerging global disruptions.
Artificial Intelligence (AI) offers a transformative opportunity to enhance student counseling and guidance by enabling scalable, data-driven, and proactive support systems. Through techniques such as machine learning, natural language processing, and predictive analytics, AI can analyze academic performance, behavioral patterns, and interaction data to identify at-risk students, personalize guidance, and support timely interventions. AI-powered tools—including virtual counseling assistants, intelligent recommendation systems, and predictive dashboards—can extend access to counseling services beyond traditional constraints of time and availability, while encouraging confidential and low-pressure student engagement.
Importantly, AI is not intended to replace human counselors but to augment their capabilities by automating routine tasks, providing actionable insights, and supporting evidence-based decision-making. Human judgment, empathy, ethical reasoning, and cultural sensitivity remain central to effective counseling practice. This chapter explores the conceptual foundations, applications, benefits, and limitations of AI in student counseling and guidance. It also addresses critical ethical considerations such as data privacy, algorithmic bias, transparency, and the risk of over-reliance on technology.
By integrating Artificial Intelligence with human-centered counseling practices, educational institutions can develop more inclusive, responsive, and preventive guidance systems. Such an approach holds significant potential to empower students to navigate academic challenges, manage emotional well-being, and make informed career decisions in a rapidly evolving world.

 

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Published

2025-12-19

How to Cite

Artificial Intelligence for Student Counselling & Guidance. (2025). IARS’ Knowledge Planet, 979-8-25-326897-1. https://doi.org/10.62431/87ge3k17

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