Artículo

Mapping the Landscape of Data Science Education in Higher General Education in Taiwan: A Comprehensive Syllabi Analysis

Resumen

The evolving landscape of data science education poses challenges for instructors in general education classes. With the expansion of higher education dedicated to cultivating data scientists, integrating data science education into university curricula has become imperative. However, addressing diverse student backgrounds underscores the need for a systematic review of course content and design. This study systematically reviews 60 data science courses syllabi in general education across all universities in Taiwan. Utilizing content analysis, bibliometric, and text-mining methodologies, this study quantifies key metrics found within syllabi, including instructional materials, assessment techniques, learning objectives, and covered topics. The study highlights infrequent textbook sharing, with particular focus on Python programming. Assessment methods primarily involve participation, assignments, and projects. Analysis of Bloom’s Taxonomy suggests a focus on moderate complexity learning objectives. The topics covered prioritize big data competency, analytical techniques, programming competency, and teaching strategies in descending order. This study makes a valuable contribution to the current knowledge by tackling the challenge of delineating the specific content of data science. It also provides valuable references for potentially streamlining the integration of multiple disciplines within introductory courses while ensuring flexibility for students with varying programming and statistical proficiencies in the realm of data science education.
Autores
Velastegui-Montoya, A; Montalvan-Burbano, N; Pena-Villacreses, G; de Lima, A; Herrera-Franco, G
Título
Land Use and Land Cover in Tropical Forest: Global Research
Afiliaciones
Universidade Federal do Para; Universidad de Almeria
Año
2022
DOI
10.3390/f13101709
Tipo de acceso abierto
Green Published, gold
Referencia
WOS:000875280300001
Artículo obtenido de:
WOS
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