000 05930nam a2200853 i 4500
001 a13962651
001 ucon1154613526
003 KOHA
005 20220415140407.0
008 220412t2020 ncud 000 0 eng d
020 _a9781641139519
_q(paperback)
020 _a9781641139526
_q(hardback)
020 _a9781641139533
_q(e-Book)
040 _aYDX
_beng
_cYDX
_erda
_epn
_dN$T
_dEBLCP
_dOCLCF
_dUCW
_dTR-IsMEF
041 0 _aeng
050 4 _aLB3060.55
_b.A66 2020
245 0 0 _aApplication of artificial intelligence to assessment /
_cedited by Hong Jiao, University of Maryland, Robert W. Lissitz, University of Maryland.
264 1 _aCharlotte :
_bInformation Age Publishing, inc.,
_c2020.
264 4 _c©2020
300 _avi, 211 pages ;
_bcharts ;
_c25 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
490 1 _aThe MARCES book series.
505 0 _a1 Augmented intelligence and the future of item development.
505 0 _a2 Reconceptualizing items: From clones and automatic item generation to task model families.
505 0 _a3 Artificial intelligence for scoring oral reading fluency.
505 0 _a4 Natural language processing and the literacy challenge.
505 0 _a5 Practical considerations for using aI models in automated scoring of writing.
505 0 _a6 Item pool design and assembly: The state of the art.
505 0 _a7 Automated test assembly: Case studies in classical test theory and item response theory.
505 0 _a8 Multistage testing in practice.
505 0 _a9 An intelligent CAT that can deal with disengaged test taking.
505 0 _a10 Differences in the Amount of adaptation exhibited by various computerized adaptive testing designs.
505 0 _a11 Automatic item generation with machine learning techniques.
520 0 _a"The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing"
650 7 _aEducational tests and measurements
650 0 _aEducational tests and measurement
_xData processing
650 7 _aArtificial intelligence
650 0 _aExaminations
_xDesign and construction
650 0 _aComputer adaptive testing
700 1 _aJiao, Hong,
_eeditor.
700 1 _aLissitz, Robert W.,
_eeditor.
830 0 _aThe MARCES book series.
900 _aMEF Üniversitesi Kütüphane katalog kayıtları RDA standartlarına uygun olarak üretilmektedir / MEF University Library Catalogue Records are Produced Compatible by RDA Rules
910 _aHomer Kitabevi
942 _2lcc
_cBKS
970 0 1 _aContents.
970 1 1 _l1
_tAugmented intelligence and the future of item development,
_cMark J. Gierl,
_fGierl, J. Mark,
_p1.
970 1 1 _l1
_tAugmented intelligence and the future of item development,
_cHollis Lai,
_fLai, Hollis,
_p1.
970 1 1 _l1
_tAugmented intelligence and the future of item development,
_cDonna Matovinovic,
_fMatovinovic, Donna,
_p1.
970 1 1 _l2
_tReconceptualizing items: From clones and automatic item generation to task model families,
_cRichard Luecht,
_fLuecht, Richard,
_p25.
970 1 1 _l2
_tReconceptualizing items: From clones and automatic item generation to task model families,
_cMatthew Burke,
_fBurke, Matthew,
_p25.
970 1 1 _l3
_tArtificial intelligence for scoring oral reading fluency,
_cJared Bernstein,
_fBernstein, Jared,
_p51.
970 1 1 _l3
_tArtificial intelligence for scoring oral reading fluency,
_cJian Cheng,
_fCheng, Jian,
_p51.
970 1 1 _l3
_tArtificial intelligence for scoring oral reading fluency,
_cJennifer Balogh,
_fBalogh, Jennifer,
_p51.
970 1 1 _l3
_tArtificial intelligence for scoring oral reading fluency,
_cRyan Downey,
_fDowney, Ryan,
_p51.
970 1 1 _l4
_tNatural language processing and the literacy challenge,
_cJill Burstein,
_fBurstein, Jill,
_p77.
970 1 1 _l5
_tPractical considerations for using AI models in automated, scoring of writing,
_cPeter W. Foltz,
_fFoltz, W. Peter,
_p101.
970 1 1 _l6
_tItem pool design and assembly: The state of the art,
_cJeffrey M. Patton,
_fPatton, M. Jeffrey,
_p115.
970 1 1 _l6
_tItem pool design and assembly: The state of the art,
_cRay Y. Yan,
_fYan, Y. Ray,
_p115.
970 1 1 _l7
_tAutomated test assembly: Case studies in classical test theory and item response theory,
_cSiang Chee Chuah,
_fChuah, Chee Siang,
_p125.
970 1 1 _l7
_tAutomated test assembly: Case studies in classical test theory and item response theory,
_cDonovan Hare,
_fHare, Donovan,
_p125.
970 1 1 _l7
_tAutomated test assembly: Case studies in classical test theory and item response theory,
_cLuz Bay,
_fBay, Luz,
_p125.
970 1 1 _l7
_tAutomated test assembly: Case studies in classical test theory and item response theory,
_cThomas Proctor,
_fProctor, Thomas,
_p125.
970 1 1 _l8
_tMultistage testing in practice,
_cDuanli Yan,
_fYna, Duanli,
_p141.
970 1 1 _l9
_tAn intellegent CAT that can deal with disengaged tets taking,
_cSteven L. Wist,
_fWist, L. Steven,
_p161.
970 1 1 _l10
_tDifferences in the amount of adaptation exhibited by various computerized adaptive testing designs,
_cMark D. Reckase,
_fReckase, D. Mark,
_p175.
970 1 1 _l10
_tDifferences in the amount of adaptation exhibited by various computerized adaptive testing designs,
_cUnhee Ju,
_fJu, Unhee,
_p175.
970 1 1 _l10
_tDifferences in the amount of adaptation exhibited by various computerized adaptive testing designs,
_cSewon Kim,
_fKim, Sewon,
_p175.
970 1 1 _l11
_tAutomatic item generation with machine learning techniques: A pathway to intelligent assessments,
_cJaehwa Choi,
_fChoi, Jaehwa,
_p189.
970 0 1 _aAbout the editors,
_p211.
999 _c25261
_d25261