English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Research experience and mentoring has been identified as an effectiveintervention for increasing student engagement and retention in the STEMfields, with high impact on students from undeserved populations. However,one-on-one mentoring is limited by the number of available faculty, and incertain cases also by the availability of funding for stipend. One-on-onementoring is further limited by the selection and self-selection of students.Since research positions are often competitive, they are often taken by thebest-performing students. More importantly, many students who do not seethemselves as the top students of their class, or do not identify themselves asresearchers might not apply, and that self selection can have the highestimpact on non-traditional students. To address the obstacles of scalability,selection, and self-selection, we designed a data science research experiencefor undergraduates as part of an introductory computer science course. Throughthe intervention, the students are exposed to authentic research as early astheir first semester. The intervention is inclusive in the sense that allstudents registered to the course participate in the research, with no processof selection or self-selection. The research is focused on analytics of largetext databases. Using discovery-enabling software tools, the students analyze acorpus of congressional speeches, and identify patterns of differences betweendemocratic speeches and republican speeches, differences between speeches forand against certain bills, and differences between speeches about bills thatpassed and bills that did not pass. In the beginning of the research experienceall student follow the same protocol and use the same data, and then each groupof students work on their own research project as part of their final projectof the course.

Eliminating self-selection: Using data science for authentic undergraduate research in a first-year introductory course