{
  "abstract": "Artificial intelligence (AI) is increasingly embedded in academic practice, creating opportunities to support learning and improve educational outcomes. We implemented a project-based learning activity in an undergraduate engineering course in which students used meteorological data to construct a temperature time series and assess local climate change at a selected location from the national weather station network. They transformed raw datasets, organized files in spreadsheets, and automated routine calculations by prompting a large language model (LLM) to generate executable code for a collaborative programming platform. As a structured form of human–AI collaboration, the activity contributes to discussions of hybrid intelligence in education by allowing students to focus on higher-level cognitive tasks.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "name": "Luciano Fleischfresser"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/0r3bdpdfnaw1z.bib",
  "cited_by": 0,
  "doi": "10.31223/x5n794",
  "fulltext_url": null,
  "id": "0r3bdpdfnaw1z",
  "issns": [],
  "landing_url": "https://eartharxiv.org/repository/view/14740/",
  "language": null,
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode",
  "metadata_licence": null,
  "native_subjects": [
    [
      "bepress",
      "Climate"
    ],
    [
      "bepress",
      "Climate change"
    ],
    [
      "bepress",
      "Collaborative programming"
    ],
    [
      "bepress",
      "Data analysis"
    ],
    [
      "bepress",
      "Higher Education"
    ],
    [
      "bepress",
      "Large Language Model"
    ],
    [
      "bepress",
      "Prompt design"
    ],
    [
      "bepress",
      "Scholarship of Teaching and Learning"
    ],
    [
      "openalex",
      "3304|Problem and Project Based Learning"
    ]
  ],
  "openalex": "W7204992552",
  "pdf_url": "https://eartharxiv.org/repository/object/14740/download/25635/",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-02",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/0r3bdpdfnaw1z.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:21Z",
      "native_id": "14740",
      "source": "eartharxiv",
      "url": "https://eartharxiv.org/repository/view/14740/"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "bepress:Climate",
      "subfield": "climate"
    }
  ],
  "title": "A Project-based Learning Activity Involving Hybrid Intelligence in the Undergraduate Engineering Class",
  "title_text": "A Project-based Learning Activity Involving Hybrid Intelligence in the Undergraduate Engineering Class",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:21Z",
  "url": "https://research.draconitic.com/paper/0r3bdpdfnaw1z",
  "venue": "EarthArXiv",
  "versions": []
}