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Application of artificial intelligen...

Lissitz, Robert W.

Application of artificial intelligence to assessment /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Application of artificial intelligence to assessment // edited by Hong Jiao, Robert W. Lissitz.
其他作者:	Jiao, Hong,
出版者:	Charlotte, NC :Information Age Publishing, inc., : c2020.,
面頁冊數:	vi, 211 p. :ill. ; : 24 cm.;
提要註:	"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. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers' engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices"--
標題:	Educational tests and measurements - Data processing. -
ISBN:	9781641139526 (hard)

Application of artificial intelligence to assessment /
Application of artificial intelligence to assessment /edited by Hong Jiao, Robert W. Lissitz. - Charlotte, NC :Information Age Publishing, inc.,c2020. - vi, 211 p. :ill. ;24 cm. - The MARCES book series. - MARCES book series..

Includes bibliographical references.

Augmented intelligence and the future of item development / Mark J. Gierl, Hollis Lai, and Donna Matovinovic -- Reconceptualizing items : from clones and automatic item generation to task model families / Richard Luecht and Matthew Burke -- Artificial intelligence for scoring oral reading Fluency / Jared Bernstein, Jian Cheng, Jennifer Balogh, and Ryan Downey -- Natural language processing and the literacy Challenge / Jill Burstein -- Practical considerations for using AI models in automated scoring of writing / Peter W. Foltz -- Item pool design and assembly : the state of the art / Jeffrey M. Patton and Ray Y. Yan -- Automated test assembly : case studies in classical test theory and item response theory / Siang Chee Chuah, Donovan Hare, Luz Bay, and Thomas Proctor -- Multistage testing in practice / Duanli Yan -- An intelligent CAT that can deal with disengaged test taking / Steven L. Wise -- Differences in the amount of adaptation exhibited by various computerized adaptive testing designs / Mark D. Reckase, Unhee Ju, and Sewon Kim -- Automatic item generation with machine learning techniques : a pathway to intelligent assessments / Jaehwa Choi.

"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. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers' engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices"--

ISBN: 9781641139526 (hard)

LCCN: 2020000261Subjects--Topical Terms:

468153
Educational tests and measurements
--Data processing.

LC Class. No.: LB3060.55 / .A66 2020

Dewey Class. No.: 371.260285

Application of artificial intelligence to assessment /
LDR:04079cam a2200253 a 4500 001 339704
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010 $a 2020000261
020 $a 9781641139526 (hard)
020 $a 9781641139519 (pbk.) : $c NT1301
020 $a 9781641139533 (ebk.)
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040 $a KMU $d KMU
042 $a pcc
050 0 0 $a LB3060.55 $b .A66 2020
082 0 0 $a 371.260285 $2 23
087 $a 521.3 $b A652 2020
245 0 0 $a Application of artificial intelligence to assessment / $c edited by Hong Jiao, Robert W. Lissitz.
260 $a Charlotte, NC : $b Information Age Publishing, inc., $c c2020.
300 $a vi, 211 p. : $b ill. ; $c 24 cm.
490 1 $a The MARCES book series
504 $a Includes bibliographical references.
505 0 $a Augmented intelligence and the future of item development / Mark J. Gierl, Hollis Lai, and Donna Matovinovic -- Reconceptualizing items : from clones and automatic item generation to task model families / Richard Luecht and Matthew Burke -- Artificial intelligence for scoring oral reading Fluency / Jared Bernstein, Jian Cheng, Jennifer Balogh, and Ryan Downey -- Natural language processing and the literacy Challenge / Jill Burstein -- Practical considerations for using AI models in automated scoring of writing / Peter W. Foltz -- Item pool design and assembly : the state of the art / Jeffrey M. Patton and Ray Y. Yan -- Automated test assembly : case studies in classical test theory and item response theory / Siang Chee Chuah, Donovan Hare, Luz Bay, and Thomas Proctor -- Multistage testing in practice / Duanli Yan -- An intelligent CAT that can deal with disengaged test taking / Steven L. Wise -- Differences in the amount of adaptation exhibited by various computerized adaptive testing designs / Mark D. Reckase, Unhee Ju, and Sewon Kim -- Automatic item generation with machine learning techniques : a pathway to intelligent assessments / Jaehwa Choi.
520 $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. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers' engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices"-- $c Provided by publisher.
650 0 $a Educational tests and measurements $x Data processing. $3 468153
650 0 $a Artificial intelligence $x Educational applications. $3 468154
650 0 $a Examinations $x Design and construction. $3 468155
650 0 $a Computer adaptive testing. $3 468156
700 1 $a Jiao, Hong, $d 1968- $3 468150
700 1 $a Lissitz, Robert W. $3 468151
830 0 $a MARCES book series. $3 468152