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Human-AI symbiosis as a means to tackle societal challenges (Symbiosis)

Human-AI symbiosis as a means to tackle societal challenges (Symbiosis)

Symbiosis takes an interdisciplinary approach to address the opportunities, challenges, and risks of artificially intelligent (AI) technology in education.

Human-AI collaboration has become a ubiquitous cultural condition, with far-reaching implications for society and education. Symbiosis will work to cultivate symbiotic relationships between humans and intelligent systems, whereby each party’s strengths compensate for the limitations of the other, enabling outcomes neither could achieve alone. Achieving this in educational contexts necessitates a cautious approach to AI development and implementation, and a thorough evaluation of the technology’s strengths, limitations, and impacts on human end-users.

Methodologically, the project adopts a Design-Based Research approach, deploying extensive case studies in close collaboration with educational stakeholders to produce interdisciplinary insights into human-AI collaboration, with the aim of fostering AI integration that is productive, sustainable, and aligned with societal and cultural values.

Symbiosis consists of two interrelated PhD projects between 2026 and 2030; one based at the department of Computer Science and the other at the department of Teacher Education.

 

Projects

Projects

Study 1: Computer Science PhD Project

Study 1: Computer Science PhD Project

This project focuses on the technological and design dimensions of human-AI collaboration in Norwegian secondary education. Key questions include: How can GenAI-based educational tools be designed and implemented to augment rather than replace human cognition, and what principles should guide this process? How can risks associated with GenAI in educational settings (including over-reliance, academic integrity, and data privacy) be effectively mitigated through design principles? And how can the efficacy of GenAI-based educational interventions be rigorously assessed in ecologically valid, real-classroom settings?

Study 2: Teacher Education PhD project: Human-AI Interaction and Oral Language Learning in Second Language Acquisition

Study 2: Teacher Education PhD project: Human-AI Interaction and Oral Language Learning in Second Language Acquisition

This study investigates the learning processes and mechanisms that emerge in the dynamics between students, a conversational AI assistant built around scenario-based oral tasks, and the teacher in second language acquisition at upper secondary school. The AI assistant is designed to engage students in authentic conversational scenarios in Spanish, adapting to their language level and providing feedback after each interaction. Many students find speaking a foreign language intimidating, and the traditional classroom rarely offers enough opportunities for meaningful oral practice. Key questions include: What learning processes emerge in the triadic interaction between student, AI assistant, and teacher? How does AI-assisted oral practice affect students' confidence, self-regulation, and engagement? And how does the teacher's pedagogical framing shape the quality of human-AI interaction in the classroom?

Project Leaders

Project Leaders

Project Leaders

  • Michail Giannakos

    Michail Giannakos Professor & Co-Director of AI LEARN

    +47-73590731 +4794118108 michailg@ntnu.no Department of Computer Science
  • Lise Vikan Sandvik

    Lise Vikan Sandvik Professor in education and Excellent teaching practitioner

    +47-73595290 +4791785002 lise.sandvik@ntnu.no The Norwegian Centre for Writing Education and Research (The Writing Centre)

Project participants

Project participants

Project participants

  • Eirik Lidsheim Erdal

    Eirik Lidsheim Erdal PhD Candidate

    eirik.l.erdal@ntnu.no Department of Computer Science
  • Maria Stubhaug

    Maria Stubhaug PhD Candidate

    +4741455414 maria.stubhaug@ntnu.no The Norwegian Centre for Writing Education and Research (The Writing Centre)

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