Data Analysis Tools

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English (US)
Title of host publication	Learning Engineering Toolkit
Subtitle of host publication	Evidence-Based Practices from the Learning Sciences, Instructional Design, and Beyond
Publisher	Taylor and Francis
Pages	365-378
Number of pages	14
ISBN (Electronic)	9781000683240
ISBN (Print)	9781032208503
DOIs	https://doi.org/10.4324/9781003276579-23
State	Published - Jan 1 2022

ASJC Scopus subject areas

@inbook{14090dcdfb9943b9861b5844aff971a1,

title = "Data Analysis Tools",

author = "Erin Czerwinski and Tanvi Domadia and Craig, \{Scotty D.\} and Jim Goodell and Steve Ritter",

year = "2022",

month = jan,

day = "1",

doi = "10.4324/9781003276579-23",

language = "English (US)",

isbn = "9781032208503",

pages = "365--378",

booktitle = "Learning Engineering Toolkit",

publisher = "Taylor and Francis",

}

TY - CHAP

T1 - Data Analysis Tools

AU - Czerwinski, Erin

AU - Domadia, Tanvi

AU - Craig, Scotty D.

AU - Goodell, Jim

AU - Ritter, Steve

PY - 2022/1/1

Y1 - 2022/1/1

UR - https://www.scopus.com/pages/publications/85158976451

UR - https://www.scopus.com/pages/publications/85158976451#tab=citedBy

U2 - 10.4324/9781003276579-23

DO - 10.4324/9781003276579-23

M3 - Chapter

AN - SCOPUS:85158976451

SN - 9781032208503

SP - 365

EP - 378

BT - Learning Engineering Toolkit

PB - Taylor and Francis

ER -