Expanding Minds through Research: Juvenile Justice and Big Data

Nelson, Randy B.; Yusef, Kideste Mariam; Cooper, Adrienne T.

doi:10.18833/spur/2/4/10

Cited by 2 publications

(1 citation statement)

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“…Some reports favored descriptive statistics (Killion, Page, and Yu 2019;Lukes et al 2019). Others favored descriptions of the program's development or evolution without quantitative evaluation (Nelson, Yusef, and Cooper 2019). It may be that even as URSCI programs grow to embrace contemporary topics such as machine learning, digital humanities, and artificial intelligence the quantitative methods by which the programs are assessed remain relatively simple.…”

Section: Simplicitymentioning

confidence: 99%

Quantitative Methods in the Assessment of Undergraduate Research, Scholarship, and Creative Inquiry

Lopatto

2023

SPUR

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The dual mission of the Council of Undergraduate Research, to both stimulate the rigorous assessment of undergraduate research programs and encourage models of undergraduate research programs, presents challenges for assessment. This commentary observes the directions taken by assessment when pursuing either a theoretical model of undergraduate research or a role model of undergraduate research. The first direction suggests the goal of generalizable findings afforded by sophisticated quantitative methods. The second direction suggests the goal of transferable programs evaluated with simpler approaches including mere description, graphical presentation, and the evaluation of ostensible confounding variables as support factors for the success of the program. The diversity of undergraduate research and creative inquiry programs points toward the use of student self-disclosures as direct measures of the student experience.

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Section: Simplicitymentioning

confidence: 99%