2601.15280v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "202fd393f2a6d708277cf550d2df9948402a9ef30575c0c907a7f951ccb5a5a7",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.15280v1.pdf",
      "size": 2709770
    },
    "source": {
      "execution_id": "65e05580-3456-4bac-90be-351e48bcac52",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-22T02:13:06Z",
      "keywords": [
        "Large Language Models",
        "Multimodal Feedback",
        "E-learning",
        "Interactive Learning",
        "Real-Time AI System",
        "Crowdsourcing"
      ],
      "modified_date": "2026-01-22T02:13:06Z",
      "page_count": 11,
      "producer": "pikepdf 8.15.1",
      "subject": "-  Human-centered computing  -\u003e  User studies.Interactive systems and tools.-  Applied computing  -\u003e  E-learning.Interactive learning environments.Computer-assisted instruction.-  Computer systems organization  -\u003e  Real-time systems.",
      "title": "LLM-based Multimodal Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback",
      "version": "1.7"
    },
    "source": {
      "execution_id": "69324ea5-0b2d-44c4-ba52-2abbda46e06a",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}