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Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Enhancing History Education with Google NotebookLM: Case Study of Mary Easton Sibley's Diary for Multimedia Content and Podcast Creation

Authors: Paul Huffman1*, James Hutson2;

Enhancing History Education with Google NotebookLM: Case Study of Mary Easton Sibley's Diary for Multimedia Content and Podcast Creation

Abstract

Abstract This article explores new features of Google’s NotebookLM, an AI-powered tool designed for advanced document analysis and educational content generation. Tested on the 92-page transcribed diary of Mary Easton Sibley, the founder of Lindenwood University, NotebookLM effectively generated FAQs, a study guide, a table of contents, a briefing document, and an audio overview in podcast format. By transforming static historical documents into dynamic learning materials, the document-based AI model provides a user-friendly interface for educators and students, especially those without experience in audio editing or podcasting. While successful in creating study guides and audio formats, the tool faced challenges in generating accurate briefing documents and timelines. Nevertheless, NotebookLM offers a promising, scalable solution for classroom use, demonstrating significant potential for transforming primary sources into interactive, accessible learning experiences. Future developments could enhance its precision and expand its applicability in academic settings, positioning Google as a leader in the niche AI-based educational tools market. Keywords: Google NotebookLM, AI in education, Podcast generation, Study guide automation, Mary Easton Sibley

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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