Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This comprehensive survey examines the emerging landscape of artificial intelligence-powered frameworks designed for intelligent evaluation systems in educational and organizational contexts. As traditional assessment methods increasingly give way to continuous, adaptive, and technology-enhanced evaluation approaches, the integration of generative artificial intelligence (GenAI) tools presents both unprecedented opportunities and significant challenges that demand careful consideration. This survey synthesizes research from four foundational studies to present a thorough overview of AI-powered evaluation frameworks, their architectures, ethical considerations, implementation strategies, competency requirements, validation evidence, and future directions. The research demonstrates that thoughtful, comprehensive approaches to AI integration can simultaneously advance pedagogical effectiveness, maintain integrity, and promote equity and inclusion when grounded in clear ethical frameworks and stakeholder engagement.
Keywords:
Artificial Intelligence, Educational Assessment, Generative AI, Automated Evaluation, Continuous Assessment, Formative Assessment, AI Ethics, Machine Learning, Natural Language Processing, Sentiment Analysis, Educational Technology, Framework Development, Assessment Automation, Feedback Analysis, Evaluation Systems, Responsible AI, AI Governance, Higher Education Assessment, Quality Assurance, Educational AI Integration, Large Language Models, Curriculum Alignment, Academic Integrity, Assessment Design, Adaptive Learning, Spaced Repetition, Pedagogical Integration, AI Literacy, Bias Mitigation, Fairness in Assessment, Accessibility in Education, Multi-stakeholder Frameworks, Ethical AI Deployment
Cite Article:
"AI-Powered Framework for Intelligent Evaluation: A Comprehensive Detailed Survey", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a477-a491, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511056.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator