Enabling Interdisciplinary Learning and Research through AI-D ...

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  • Title: Enabling Interdisciplinary Learning and Research through AI-Driven Transliteration of Historical Documents: A Case Study Proposal from Digital Humanities
  • Author(s): Simina Frincu , Marc Frincu
  • Publisher: Common Ground Research Networks
  • Collection: Common Ground Research Networks
  • Series: New Directions in the Humanities
  • Journal Title: The International Journal of Humanities Education
  • Keywords: Artificial Intelligence, Interdisciplinarity, Education 4.0, Character Recognition, Historical Documents, Romanian Transitional Script, Transliteration
  • Volume: 23
  • Issue: 1
  • Date: July 26, 2024
  • ISSN: 2327-0063 (Print)
  • ISSN: 2327-2457 (Online)
  • DOI: https://doi.org/10.18848/2327-0063/CGP/v23i01/1-24
  • Citation: Frincu, Simina, and Marc Frincu. 2024. "Enabling Interdisciplinary Learning and Research through AI-Driven Transliteration of Historical Documents: A Case Study Proposal from Digital Humanities." The International Journal of Humanities Education 23 (1): 1-24. doi:10.18848/2327-0063/CGP/v23i01/1-24.
  • Extent: 24 pages

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Abstract

The 4.0 revolution, coupled with the COVID-19 pandemic, the unprecedented AI advances, and the pervasive digital technologies, have irreversibly shaped the teaching, learning, and research contexts to respond to the modern scholars’ and students’ needs and expectations. As a result, interdisciplinary methods have become a requisite for numerous higher education actors and are likely to produce faster and more complex knowledge acquisition and research results, irrespective of the application field. Using the literature criticism method, we set the general framework and highlight the necessity of cross-disciplinary approaches to engage and prepare students and support scholarly endeavors. Following the experience-based learning methodology, we set the context for our case study approach derived from a digital humanities R&D project outlining its interdisciplinary learning potential with benefits for students studying sciences and humanities. The analysis provides a detailed overview of its application in research in education and applicability to active learning methods for group work such as SCALE-UP.