Application of Artificial Intelligence to Assessment
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| Title: | Application of Artificial Intelligence to Assessment |
|---|---|
| Description: | 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. |
| Authors: | Hong Jiao, Robert W. Lissitz |
| Resource Type: | eBook. |
| Subjects: | Examinations--Design and construction, Computer adaptive testing, Educational tests and measurements--Data processing, Artificial intelligence--Educational applications |
| Categories: | COMPUTERS / Artificial Intelligence / General |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: Application of Artificial Intelligence to Assessment – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hong+Jiao%22">Hong Jiao</searchLink><br /><searchLink fieldCode="AR" term="%22Robert+W%2E+Lissitz%22">Robert W. Lissitz</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Examinations--Design+and+construction%22">Examinations--Design and construction</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+adaptive+testing%22">Computer adaptive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+tests+and+measurements--Data+processing%22">Educational tests and measurements--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence--Educational+applications%22">Artificial intelligence--Educational applications</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 371.260285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Examinations--Design and construction Type: general – SubjectFull: Computer adaptive testing Type: general – SubjectFull: Educational tests and measurements--Data processing Type: general – SubjectFull: Artificial intelligence--Educational applications Type: general Titles: – TitleFull: Application of Artificial Intelligence to Assessment Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hong Jiao – PersonEntity: Name: NameFull: Robert W. Lissitz – PersonEntity: Name: NameFull: Hong Jiao – PersonEntity: Name: NameFull: Robert W. Lissitz IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2020 – D: 21 M: 05 Type: profile Y: 2020 Identifiers: – Type: isbn-print Value: 9781641139519 – Type: isbn-print Value: 9781641139526 – Type: isbn-electronic Value: 9781641139533 – Type: isbn-electronic Value: 9781806605712 Titles: – TitleFull: Application of Artificial Intelligence to Assessment Type: main |
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