Sustainable Innovation
Harnessing AI and Living Intelligence to Transform Higher Education
Bibliographic Data
| ID | 22043327 |
|---|---|
| Authors | Hesham Mohamed Allam (0000-0002-3410-0187, Ball State University, corresponding author), Benjamin Gyamfi (0009-0008-4766-728X, Ball State University), Ban AlOmar (Higher Colleges of Technology) |
| Year | 2025 |
| Volume | 15 |
| Issue | 4 |
| Pages | 398 |
| Publication date | 2025-03-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci15040398 |
| OpenAlex | W4408694243 |
| Language | EN |
| Citations received | 4 |
| References cited | 38 |
Bringing artificial intelligence (AI) and living intelligence into higher education has the potential to completely reshape teaching, learning, and administrative processes. Living intelligence is not just about using AI—it is about creating a dynamic partnership between human thinking and AI capabilities. This collaboration allows for continuous adaptation, co-evolution, and real-time learning, making education more responsive to individual student needs and evolving academic environments. AI-driven tools are already enhancing the way students learn by personalizing content, streamlining processes, and introducing innovative teaching methods. Adaptive platforms adjust material based on individual progress, while emotionally intelligent AI systems help support students’ mental well-being by detecting and responding to emotional cues. These advancements also make education more inclusive, helping to bridge accessibility gaps for underserved communities. However, while AI has the potential to improve education significantly, it also introduces challenges, such as ethical concerns, data privacy risks, and algorithmic bias. The real challenge is not just about embracing AI’s benefits but ensuring it is used responsibly, fairly, and in a way that aligns with educational values. From a sustainability perspective, living intelligence supports efficiency, equity, and resilience within educational institutions. AI-driven solutions can help optimize energy use, predict maintenance needs, and reduce waste, all contributing to a smaller environmental footprint. At the same time, adaptive learning systems help minimize resource waste by tailoring education to individual progress, while AI-powered curriculum updates keep programs relevant in a fast-changing world. This paper explores the disconnect between AI’s promise and the real-world difficulties of implementing it responsibly in higher education. While AI and living intelligence have the potential to revolutionize the learning experience, their adoption is often slowed by ethical concerns, regulatory challenges, and the need for institutions to adapt. Addressing these issues requires clear policies, faculty training, and interdisciplinary collaboration. By examining both the benefits and challenges of AI in education, this paper focuses on how institutions can integrate AI in a responsible and sustainable way. The goal is to encourage collaboration between technologists, educators, and policymakers to fully harness AI’s potential while ensuring that it enhances learning experiences, upholds ethical standards, and creates an inclusive, future-ready educational environment
Economic growth · Economics · Environmental education · Higher education · Knowledge management · Mathematics education · Pedagogy · Political science · Sustainable development · Biomedical and Engineering Education · Computer Science · Engineering Education and Technology · Innovation, Sustainability, Human-Machine Systems · Psychology
Ethical Problems in the Use of Artificial Intelligence by University Educators
From Intimidation to Innovation
Exploring the Factors That Promote a Balance Between Academic Integrity and the Effective Use of GenAI Tools in Higher Education
AI and the digital divide in ensuring educational access andmulticultural inclusivity
Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education
Sustainable AI
The impact of ChatGPT on higher education
Implementing equitable and intersectionality‐aware ML in education
Conservative AI and social inequality
Study on Achieving Sustainability Through Artificial Intelligence
| Unique citing works | 4 |
|---|---|
| Citations per year | 4 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |