{
  "id": 11869,
  "url": "https://arxiv.org/abs/2607.15403v1",
  "title": "Assessing Learning Processes with Multimodal Data in Virtual Reality Learning Environments",
  "summary": "Assessing learning in virtual reality (VR) environments typically relied on traditional pre-post content retention tests, revealing little about the process of learnng within such immersive environments. Multimodal data from player activity in VR is promising to better measure learning processes and higher-order skills, but little research in the learning sciences has explored how such data can be combined to provide meaningful measures. To address this, we explored multimodal sources of data fr",
  "authors": "Eileen McGivney, Oluwatomilade Olarinde, Erica Kleinman, Kaylah Facey, Rana Jahani, Shripad Agashe, Manav Varma, Seth Cooper, Casper Harteveld",
  "category": "research",
  "topics": "environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-16T19:02:31.000Z",
  "fetched_at": "2026-07-20T05:10:09.534Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/11869",
  "original_url": "https://arxiv.org/abs/2607.15403v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}