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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
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Issue Published : 117
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| Paper Title: | Human–AI Collaborative Intelligence for Future Higher Education |
| Authors Name: | S.KASTHURI , C.VEJHAYAC KHUMAR , M.VAITHEKI |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_208330
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| Published Paper Id: | IJRTI2512059 |
| Published In: | Volume 10 Issue 12, December-2025 |
| DOI: | |
| Abstract: | Abstract: The landscape of higher education is undergoing a profound transformation as artificial intelligence (AI) evolves beyond its original conception as a computational tool. Traditional educational technologies such as personal computers, learning management systems, and digital information repositories primarily served to facilitate information delivery. In contrast, contemporary AI systems, specifically generative and conversational AI models, demonstrate advanced cognitive capabilities: they engage in natural language dialogue, interpret multimodal inputs, reason through complex tasks, and generate human-like outputs across a broad range of domains.This unprecedented technological shift introduces a new paradigm for higher education: Human–AI Collaborative Intelligence (HACI). HACI asserts that AI can actively participate in cognitive processes—not merely as an auxiliary instrument but as a genuine partner in thinking, creativity, and problem-solving. Instead of functioning as static repositories of information, AI systems now dynamically interact with learners, providing feedback, explanations, and alternative viewpoints. As a result, students of the near future may routinely collaborate not only with peers and structors but with AI entities capable of augmenting their intellectual development. By 2035, higher education will likely be characterized by hybrid learning ecologies where human cognition and artificial cognition converge. Students, instructors, and institutions will engage in continuous, distributed, and co-constructed learning experiences mediated by intelligent systems. This paper explores how HACI can shape such a future. It analyzes the requirements of human–AI collaboration, the shifts in pedagogy that will accompany AI-integrated learning, the competencies required of students, and the institutional reforms needed to sustain this evolution. The goal of this research is to articulate a robust, scholarly, and comprehensive framework for understanding HACI in higher education. Through this framework, we aim to support educators, policymakers, and researchers as they navigate the opportunities and challenges of an AI-augmented academic world. |
| Keywords: | Human AI Colloboration,AI Accessments, Meta learning,AI Work as Team |
| Cite Article: | "Human–AI Collaborative Intelligence for Future Higher Education", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a476-a480, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512059.pdf |
| Downloads: | 000208 |
| 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 |
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Published Paper ID: IJRTI2512059
Registration ID:208330
Published In: Volume 10 Issue 12, December-2025
DOI (Digital Object Identifier):
Page No: a476-a480 Country: erode, tamilnadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2512059 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2512059 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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