Hybrid Intelligence Human Ai Co Evolution And Learning

by Punya Mishra | Oct 27, 2024 | Episodes Episode 212 | Hybrid Intelligence: Human-AI Co-Evolution & Learning in Multi-Realities As AI reshapes the landscape of the world, workforce, and education, there emerges an imperative for Hybrid Intelligence—where human and AI capabilities co-evolve to achieve more than either could alone. Understanding how humans interact, learn, and work with AI across modalities is becoming essential, especially within the multiverse, where digital, physical, and augmented realities converge, unlocking new possibilities for learning, interaction, and collaboration. Artificial intelligence (AI) is transforming how we live, work, and learn, creating significant changes in the workforce, education, and society. In education, AI is increasingly integrated to facilitate personalized learning experiences, as discussed in the OECD Digital Education Outlook 2023, which outlines the necessity for adapting pedagogical models to embrace these evolving technologies and...

This rapid shift brings the need for Hybrid Intelligence, where humans and AI work together to achieve more than either could alone. Hybrid Intelligence combines human abilities – like creativity, empathy, and ethical thinking – with AI’s computational power, precision, and data processing speed. This approach is not just about working together but evolving together. As Hybrid Intelligence continues to develop, understanding the nature of human-AI interactions across multiple modalities becomes increasingly critical. These interactions are not limited to text and speech but extend into rich, multimodal environments where gestures, visual cues, and even emotional responses come into play. Within the multiverse – a convergence of digital, physical, and augmented realities – these evolving interactions take on new dynamics and dimensions.

The multiverse brings forth opportunities to innovate how we learn, work, and collaborate. Educational environments are no longer restricted to a classroom or a digital platform; they are expanded into immersive spaces where physical and virtual worlds merge, allowing entirely new forms of interaction. These hybrid environments offer unprecedented possibilities for experiential learning, critical thinking, and collective knowledge construction. Understanding how to optimize these interactions will be key to harnessing the full potential of Hybrid Intelligence in the years to come and that is what we hope to build in our team https://www.letxresearch.com/home Humanities and Social Sciences Communications volume 12, Article number: 821 (2025) Cite this article The integrating AI into teaching and learning has the potential to transform traditional classroom environments into hybrid intelligence learning environments, whereby human teachers and AI teachers (educational robots) work together synergistically to enhance students’...

To understand and optimize the synergistic effect of human–AI collaboration in hybrid intelligence learning environments, this study proposes a human–AI synergy degree model (HAI-SDM). A case study was conducted to examine the synergy degree and order degree in human–AI collaboration, involving forty students and one teacher from a class in a junior high school. The results indicate that the order degree between human teacher and AI machines remains at a moderate level while undergoing dynamic changes. The synergy degree fluctuates between low and moderate, reflecting relatively orderly development among the three subsystems (collaboration subject subsystem, collaboration process subsystem and collaboration environment subsystem), but one subsystem may exhibit disordered behaviours in... These findings have implications for developing more effective human-AI classroom collaboration and promoting the effective integration of AI into teaching and learning. The rapid development of artificial intelligence (AI) technology has brought unprecedented opportunities and challenges to the education sector.

Particularly, under the impetus of human–AI collaboration, AI not only serves as an auxiliary tool to support teachers’ instructional tasks but also actively participates in classroom interactions in an intelligent manner, facilitating a profound... 2024; Zhou and Hou, 2024; Hilpert et al. 2023). Traditional educational models have limitations in facilitating personalized learning and optimizing resource allocation. Human–AI collaborative teaching offers an efficient and sustainable lens to address these challenges through close collaboration between AI systems and teachers (Díaz and Nussbaum, 2024; Chen et al. 2022).

Human-AI collaboration in education, as an emerging interdisciplinary field, integrates cutting-edge theories and technologies from AI, education, cognitive science, and human–computer interaction. The Hybrid Intelligence Learning Environments design aims to develop and implement effective human–AI collaboration in education. Its core philosophy lies in the seamless integration of human intelligence and machine intelligence to achieve optimized teaching outcomes through their synergistic collaboration (Cukurova, 2024; Bredeweg and Kragten, 2022). Within this environment, AI not only functions as an assistant to teachers but also plays a vital role in personalized learning (Mittal et al. 2024), real-time feedback (Weber et al. 2024), cognitive intervention (Fan et al.

2024), and emotional engagement (Järvelä et al. 2023). In recent years, researchers started to look into the design of educational robots, the application of AI in teaching, and the cognitive and behavioural dynamics of human–AI collaboration (Schecter et al. 2022; Niu et al. 2024; Wu et al. 2024).

Existing studies have demonstrated significant advantages of human–AI collaboration in enhancing learning efficiency and supporting personalized learning (Huang et al. 2021). For instance, the integration of AI applications in real-time question answering (Fang et al. 2023) and homework grading (Duan et al. 2023) has effectively reduced teachers’ workload while improved instructional quality. The most extensive literature on AI applications in education focused on technological aspects, lacking systematic examination of human-AI collaboration during classroom instruction (Vössing et al.

2022; Yue and Li, 2023). Given that effective human-AI collaboration relies on effective collaboration between humans and AI systems, investigating the effectiveness of collaboration and the degree of synergy in classrooms becomes crucial. To address this research gap, this study aims to develop a framework to evaluate and enhance the synergy and orderliness of human–AI collaboration in classrooms. Andy Nguyen, University of Oulu[email protected] Michail Giannakos, Norwegian University of Science and Technology (NTNU)[email protected] Vassilis Kostakos, University of Melbourne[email protected]

Alexander Richter, Victoria University of Wellington[email protected] Matthias Söllner, University of Kassel[email protected]

People Also Search

• Hybrid Intelligence: Human-AI Co‐evolution and Learning
• Hybrid Intelligence: Human-AI Co-evolution and Learning in Multi ... - Oulu
• Hybrid Intelligence - Human-AI Co-Evolution and Learning in ...
• Episode 212 | Hybrid Intelligence: Human-AI Co-Evolution & Learning in ...
• Hybrid Intelligence and Human Learning - ACM Digital Library
• Examining human-AI collaboration in hybrid intelligence learning ...
• Human-AI Shared Regulation for Hybrid Intelligence in Learning and ...
• Hybrid intelligence: Human-AI coevolution and learning | CoLab
• Hybrid intelligence: Human-AI coevolution and learning
• Hybrid intelligence across contexts: From conceptualisation to ...