Embedding Digital Data Storytelling in Introductory Data Science Course

dc.contributor.authorChen, Lujie Karen
dc.contributor.authorGillan, Jamie
dc.contributor.authorDecker, Matthew
dc.contributor.authorEteffa, Egan
dc.contributor.authorMarzan, Anjelica
dc.contributor.authorThai, Justin
dc.contributor.authorJewett, Sarah
dc.date.accessioned2023-10-26T17:57:36Z
dc.date.available2023-10-26T17:57:36Z
dc.date.issued2023-10-10
dc.description.abstractWith the emergence of data science as an inherently multidisciplinary subject, there is increasing demand for graduates with well-rounded competence in computing, analytics, and communication skills. However, in conventional education systems, computing & quantitative, and communication skills are often taught in different disciplines. Data storytelling is constructing and presenting data stories to highlight the analytical insights to achieve the communication goals to a specific audience. Digital data storytelling leverages digital storytelling techniques and best practices in communication to deliver stories that can be shared in digital formats to a wide audience. In this paper, we describe and reflect on a semester-long project-based learning pilot using Digital Storytelling as a framework to allow students to explore topics themed around human flourishing and sustainability with the end goal of constructing data stories delivered in digital or video format (i.e., Digital Data Storytelling). The pilot work was conducted in an introductory data science course at a 4-year Minority Serving Institution in collaboration with students studying non-STEM disciplines at a partner community college. Our pilot demonstrates the potential benefit of this sustainability-aware Project-Based Learning design in raising students’ awareness of sustainability issues, increasing confidence in cross-disciplinary communication competency, and at the same time deepening their understanding of data science concepts. We further reflect on the significant role of an effective program model as well as challenges and opportunities for building transdisciplinary communication competency to prepare for a diverse data science workforce.en_US
dc.description.sponsorshipThis material is based upon work supported by the US National Science Foundation under Grant No. #1915714 and #2302795.en_US
dc.description.urihttps://journals.aau.dk/index.php/pbl/article/view/7767en_US
dc.format.extent27 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2rbuy-cdyg
dc.identifier.citationChen, Lujie, Jamie Gillan, Matthew Decker, Egan Eteffa, Anjelica Marzan, Justin Thai, and Sarah Jewett. “Embedding Digital Data Storytelling in Introductory Data Science Course: An Inter-Institutional Transdisciplinary Pilot Study.” Journal of Problem Based Learning in Higher Education 11, no. 2 (October 10, 2023): 126–52. https://doi.org/10.54337/ojs.jpblhe.v11i2.7767.en_US
dc.identifier.urihttps://doi.org/10.54337/ojs.jpblhe.v11i2.7767
dc.identifier.urihttp://hdl.handle.net/11603/30395
dc.language.isoen_USen_US
dc.publisherAalborg Universityen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution 3.0 Unported (CC BY 3.0 DEED)*
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/*
dc.titleEmbedding Digital Data Storytelling in Introductory Data Science Courseen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-7185-8405en_US

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