Intelligent Systems Podcast: Josh Rosenberg on Data Science, Bayesian Thinking, and Digital Media Literacy

In this episode of the Uni­ver­si­ty of Mem­phis Insti­tute for Intel­li­gent Sys­tems’ Intel­li­gent Sys­tems pod­cast, Dr. Leah Wind­sor speaks with Dr. Josh Rosen­berg about using data sci­ence and com­put­ing to sup­port mean­ing­ful STEM learn­ing. Their con­ver­sa­tion explores the impor­tance of begin­ning with worth­while research ques­tions, rather than tech­ni­cal tools alone; the role of domain knowl­edge in choos­ing meth­ods; Bayesian rea­son­ing and sci­en­tif­ic uncer­tain­ty; social-media research; and ways to com­mu­ni­cate sci­en­tif­ic evi­dence with clar­i­ty and humil­i­ty.

About Dr. Josh Rosenberg

Dr. Josh Rosen­berg is an asso­ciate pro­fes­sor of STEM edu­ca­tion and a fac­ul­ty fel­low with the Cen­ter for Enhanc­ing Edu­ca­tion in Math­e­mat­ics and Sci­ences at the Uni­ver­si­ty of Ten­nessee, Knoxville. A for­mer pub­lic high school sci­ence teacher who pri­mar­i­ly taught tenth-grade biol­o­gy, his research is ground­ed in the every­day real­i­ties of teach­ers, stu­dents, and mod­ern class­rooms.

Rosen­berg stud­ies the use of data, com­put­ing, and dig­i­tal tools in edu­ca­tion, espe­cial­ly in STEM con­texts. His work includes edu­ca­tion­al data sci­ence, social-media research relat­ed to sci­ence edu­ca­tion, and efforts to help K–12 teach­ers and stu­dents use data to inves­ti­gate mean­ing­ful ques­tions. He is also the author of Data Sci­ence in Edu­ca­tion Using R.

Pod­cast: Intel­li­gent Sys­tems, Insti­tute for Intel­li­gent Sys­tems, Uni­ver­si­ty of Mem­phis

Guest: Dr. Josh Rosen­berg

Host: Dr. Leah Wind­sor

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