AI Transformation Student Learning Assessment, Skill Development and Professional Readiness in Science, Forensics and Cyber Education — A Review

DOI

10.2991/978-94-6239-610-4_40How to use a DOI?

Keywords

Artificial Intelligence in education focusing on Intelligent Tutoring Systems; Automated Assessment; Forensic Education; Cyber-security Education; Skill Development; and Professional Readiness

Abstract

Artificial Intelligence (AI) has become a disruptive element in predominant education, as it considerably affects the process of learners, their evaluation, and professional readiness. Scientific, forensic science, and cyber education fields are some of the areas where AI-powered systems are becoming part of instructional delivery, hands-on training, and competency assessment. Such technologies as adaptive learning tools, smart tutoring tools, automated assessment tools, virtual labs, and simulated environments have shown promise in increasing conceptual knowledge, applied skill acquisition, and workforce preparedness. According to recent research, AI-assisted education allows delivering personalized learning experiences, providing formative feedback, and exposing learners to real-life problem scenarios that are otherwise challenging to simulate in the classroom. Nevertheless, there are also serious issues associated with the use of AI in education and, in particular, academic integrity, algorithmic bias, transparency, and ethical responsibility as far as forensic disciplines and cyber disciplines are concerned where decision reliability and legal admissibility are critical factors. The review is a critical review of literature regarding the use of AI in revolutionizing student learning, assessment, skill building, and professional readiness in science, forensic, and cyber education. The article also outlines the major issues and explains the best practices in responsible integration, as well as future perspectives on how to correspond AI-driven education to the academic norms and industry requirements.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - B. S. Rajarajeshwari
AU  - M. R. Architha
PY  - 2026
DA  - 2026/05/05
TI  - AI Transformation Student Learning Assessment, Skill Development and Professional Readiness in Science, Forensics and Cyber Education — A Review
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 466
EP  - 476
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_40
DO  - 10.2991/978-94-6239-610-4_40
ID  - Rajarajeshwari2026
ER  -