Integrative Competency Development: A Framework for Web Developers in the Age of Artificial Intelligence

This article presents a structured framework for aspiring developers seeking to navigate the increasingly interconnected domains of traditional web development and artificial intelligence. The research establishes a progression model for skill acquisition encompassing established technologies and emerging AI applications by examining the foundational technical competencies required across front-end and back-end systems. The framework addresses the critical aspects of portfolio development, strategic implementation of AI components within conventional web architectures, and approaches to professional identity cultivation. Through analysis of integration pathways between content management systems, JavaScript frameworks, and machine learning implementations, the article offers a comprehensive roadmap for professional development that responds to industry convergence trends. The research contributes to understanding how technical professionals can strategically position themselves at the intersection of multiple technology domains while maintaining depth of expertise and demonstrating adaptability in a rapidly evolving field.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-22
DOI
https://doi.org/10.71097/ijsat.v16.i1.2653
Primary Topic
Educational Innovations and Challenges
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrative Competency Development: A Framework for Web Developers in the Age of Artificial Intelligence

Siva Teja Reddy Kandula
International Journal on Science and Technology
Educational Innovations and Challenges
article

Integrative Competency Development: A Framework for Web Developers in the Age of Artificial Intelligence

Siva Teja Reddy Kandula
article en

Abstract

This article presents a structured framework for aspiring developers seeking to navigate the increasingly interconnected domains of traditional web development and artificial intelligence. The research establishes a progression model for skill acquisition encompassing established technologies and emerging AI applications by examining the foundational technical competencies required across front-end and back-end systems. The framework addresses the critical aspects of portfolio development, strategic implementation of AI components within conventional web architectures, and approaches to professional identity cultivation. Through analysis of integration pathways between content management systems, JavaScript frameworks, and machine learning implementations, the article offers a comprehensive roadmap for professional development that responds to industry convergence trends. The research contributes to understanding how technical professionals can strategically position themselves at the intersection of multiple technology domains while maintaining depth of expertise and demonstrating adaptability in a rapidly evolving field.

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 93%
Educational Innovations and Challenges
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