Teaching beginner-level computational social science: interactive open education resources with learnr and shiny apps

The article presents the use of open, inclusive pedagogical frameworks to develop a series of open education resources (OERs), specifically, interactive shiny web applications for teaching beginner-level computational social science (CSS) in undergraduate social science education. CSS is an emerging...

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Main Author: Manyu Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Education
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/feduc.2023.1130865/full
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author Manyu Li
author_facet Manyu Li
author_sort Manyu Li
collection DOAJ
description The article presents the use of open, inclusive pedagogical frameworks to develop a series of open education resources (OERs), specifically, interactive shiny web applications for teaching beginner-level computational social science (CSS) in undergraduate social science education. CSS is an emerging discipline that integrates data science methods with social science theories and research designs. However, undergraduate social science students could face a lack of a sense of STEM identity or belonging. Also, compared to STEM majors in natural science or engineering, average undergraduate social science students come in with limited mathematical or statistical knowledge. The OERs developed and tested in this article are designed with pedagogical frameworks that help overcome these barriers faced by students from diverse backgrounds and offer students a jump-start in learning CSS. This article presents the details of the tools, classroom implementation (in the form of a 6-week workshop series), the pedagogy frameworks applied, and the assessment methods and outcomes.
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spelling doaj.art-8f73cd6360044e8fa2d08384dde775642023-06-02T06:05:52ZengFrontiers Media S.A.Frontiers in Education2504-284X2023-06-01810.3389/feduc.2023.11308651130865Teaching beginner-level computational social science: interactive open education resources with learnr and shiny appsManyu LiThe article presents the use of open, inclusive pedagogical frameworks to develop a series of open education resources (OERs), specifically, interactive shiny web applications for teaching beginner-level computational social science (CSS) in undergraduate social science education. CSS is an emerging discipline that integrates data science methods with social science theories and research designs. However, undergraduate social science students could face a lack of a sense of STEM identity or belonging. Also, compared to STEM majors in natural science or engineering, average undergraduate social science students come in with limited mathematical or statistical knowledge. The OERs developed and tested in this article are designed with pedagogical frameworks that help overcome these barriers faced by students from diverse backgrounds and offer students a jump-start in learning CSS. This article presents the details of the tools, classroom implementation (in the form of a 6-week workshop series), the pedagogy frameworks applied, and the assessment methods and outcomes.https://www.frontiersin.org/articles/10.3389/feduc.2023.1130865/fullcomputational social scienceR programmingsocial scienceresearch methodspedagogyshiny apps
spellingShingle Manyu Li
Teaching beginner-level computational social science: interactive open education resources with learnr and shiny apps
Frontiers in Education
computational social science
R programming
social science
research methods
pedagogy
shiny apps
title Teaching beginner-level computational social science: interactive open education resources with learnr and shiny apps
title_full Teaching beginner-level computational social science: interactive open education resources with learnr and shiny apps
title_fullStr Teaching beginner-level computational social science: interactive open education resources with learnr and shiny apps
title_full_unstemmed Teaching beginner-level computational social science: interactive open education resources with learnr and shiny apps
title_short Teaching beginner-level computational social science: interactive open education resources with learnr and shiny apps
title_sort teaching beginner level computational social science interactive open education resources with learnr and shiny apps
topic computational social science
R programming
social science
research methods
pedagogy
shiny apps
url https://www.frontiersin.org/articles/10.3389/feduc.2023.1130865/full
work_keys_str_mv AT manyuli teachingbeginnerlevelcomputationalsocialscienceinteractiveopeneducationresourceswithlearnrandshinyapps