ArticleNPJ science of learning2025
Design of generative AI-powered pedagogy for virtual reality environments in higher education.
Article in NPJ science of learning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Building a new ecosystem for digital-intelligent teaching of veterinary infectious diseases in southwest Chinese universities: theoretical framework and practical pathways.Frontiers in veterinary science · 2026Review
- Application of the artificial intelligence-assisted World Café teaching model in clinical pharmacology graduate course: a pilot study.Frontiers in public health · 2026Article
- Generative Artificial Intelligence in Medical Education: Enhancing Critical Thinking or Undermining Cognitive Autonomy?Journal of medical Internet research · 2025Article
- Contraception-related topics in chat dialogues between healthcare students and generative AI patients: a natural language processing analysis.BMC medical education · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging technologies are transforming education, necessitating research on their optimal integration. This article introduces an Intelligent Virtual Reality (IVR) approach that incorporates Generative Artificial Intelligence (GAI) through two GAI-powered pedagogical characters, aiming to address educational needs. This qualitative descriptive research had two phases: Needs Analysis and Pedagogical Design. The needs and ideas, collected from 66 educators, were classified into three categories: AI acting as a character, emerging technologies to assist student learning, and emerging technologies to help teachers. The Pedagogical Design involved integrating GAI and VR in a sustainability education setting, and developing two virtual characters, Tero and Madida, as an information source and a learning companion, respectively. Evaluation through iterative testing with domain experts and interviews suggested that these characters met 9 out of 12 identified needs, highlighting their potential to enhance higher education learning experiences. Future research could explore further refinements to address the remaining needs.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.