International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Integrating Ai and Machine Learning Technology for Educational Enhancement and Career Guidance System

Author(s) Abhishek Thapliyal, Vishwam Valiyaveettil
Country India
Abstract Career and education guidance is undergoing a transformative phase, especially in the context of life-long learning. Modernizing career services to meet the diverse needs of students is imperative in the age of technology. This article navigates the considerations for career services professionals, exploring the characteristics and needs of today's students, available technologies, funding requirements, and confidentiality issues. The challenge lies in creating accessible services that seamlessly connect education with employment. This
paper presents a pioneering study that explores the untapped potential of artificial intelligence (AI) in revolutionizing career and education guidance, not only for higher education but also for students above the 9th standard. Drawing insights from focus groups, scenario work, and practical trials, the research provides a comprehensive view of the requirements and possibilities of integrating AI into career guidance. Perspectives from students, guidance staff, and institutions shape the findings, highlighting potential values, functions, and the driving forces and obstacles in adopting AI for career guidance. The study
introduces varied modes of agency and maturity levels, establishing a framework for AI involvement in guidance processes. Future research directions include a focus on agency in guidance interaction, developing a guidance data ecosystem, and addressing ethical concerns.
Keywords Machine learning, AI, Education system
Field Computer Applications
Published In Volume 6, Issue 1, January-February 2024
Published On 2024-02-11
Cite This Integrating Ai and Machine Learning Technology for Educational Enhancement and Career Guidance System - Abhishek Thapliyal, Vishwam Valiyaveettil - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.12396
DOI https://doi.org/10.36948/ijfmr.2024.v06i01.12396
Short DOI https://doi.org/gthqr2
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com