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Multimedia in education [electronic resource] : adaptive learning and testing / Irene Cheng ... [et al.].

Contributor(s): Cheng, Irene, 1955- | World Scientific (Firm).
Publisher: Singapore ; Hackensack, N.J. : World Scientific Pub. Co., c2010Description: 1 online resource (ix, 178 p.) : ill. (some col.).ISBN: 9789812837066.Subject(s): Interactive multimedia | Computer-assisted instructionGenre/Form: Electronic books.Additional physical formats: No title; No titleDDC classification: 371.334 Online resources: Click here to access online
Contents:
1. Introduction and overview. 1.1. The trend towards online multimedia education. 1.2. Framework of an online multimedia education system. 1.3. Innovative item types for learning and testing. 1.4. 3D items. 1.5. Drag and drop items (2D and 3D). 1.6. Logical-mathematical items. 1.7. Language items. 1.8. Educational games. 1.9. Automatic difficulty level estimation. 1.10. Testing beyond subject knowledge. 1.11. Adaptive testing and student modeling using multimedia items. 1.12. Multimedia item authoring graphical interface. 1.13. Learning management systems. 1.14. Statistical analysis for e-learning. 1.15. Multimedia edutainment : Designing professional profiles. 1.16. Multimedia education on mobile devices -- 2. Learning management system / L. Vicent and M. Segarra -- 3. Multimedia edutainment : Designing professional profiles / O. G. Panella ... [et al.] -- 4. Educational games / S. Rodriguez, I. Cheng and A. Basu -- 5. Automatic difficulty level estimation of multimedia math test items / R. Shen, I. Cheng and A. Basu -- 6. Tracking students' thinking in solving complex process / I. Cheng, N. Rossol and R. Goebel -- 7. Statistical analysis in e-learning / L. Vicent and X. Gumara.
Summary: In this book, we review many examples of multimedia item types for testing. We also outline how games can be used to test physics concepts - discuss designing chemistry item types with interactive graphics; study how culture-specific linguistics can help inner-city kids and new immigrants learn better; suggest approaches for automatically adjusting difficulty level in interactive graphics-based questions; and propose strategies for giving partial marks for incorrect answers. We also study how to test different cognitive skills, such as music, using multimedia interfaces and also evaluate the effectiveness of our model. Methods for estimating difficulty levels of mathematical item types using Item Response Theory (IRT) will be discussed. Examples of item shells for human computer interaction and cell phones will be shown.
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Includes bibliographical references.

1. Introduction and overview. 1.1. The trend towards online multimedia education. 1.2. Framework of an online multimedia education system. 1.3. Innovative item types for learning and testing. 1.4. 3D items. 1.5. Drag and drop items (2D and 3D). 1.6. Logical-mathematical items. 1.7. Language items. 1.8. Educational games. 1.9. Automatic difficulty level estimation. 1.10. Testing beyond subject knowledge. 1.11. Adaptive testing and student modeling using multimedia items. 1.12. Multimedia item authoring graphical interface. 1.13. Learning management systems. 1.14. Statistical analysis for e-learning. 1.15. Multimedia edutainment : Designing professional profiles. 1.16. Multimedia education on mobile devices -- 2. Learning management system / L. Vicent and M. Segarra -- 3. Multimedia edutainment : Designing professional profiles / O. G. Panella ... [et al.] -- 4. Educational games / S. Rodriguez, I. Cheng and A. Basu -- 5. Automatic difficulty level estimation of multimedia math test items / R. Shen, I. Cheng and A. Basu -- 6. Tracking students' thinking in solving complex process / I. Cheng, N. Rossol and R. Goebel -- 7. Statistical analysis in e-learning / L. Vicent and X. Gumara.

In this book, we review many examples of multimedia item types for testing. We also outline how games can be used to test physics concepts - discuss designing chemistry item types with interactive graphics; study how culture-specific linguistics can help inner-city kids and new immigrants learn better; suggest approaches for automatically adjusting difficulty level in interactive graphics-based questions; and propose strategies for giving partial marks for incorrect answers. We also study how to test different cognitive skills, such as music, using multimedia interfaces and also evaluate the effectiveness of our model. Methods for estimating difficulty levels of mathematical item types using Item Response Theory (IRT) will be discussed. Examples of item shells for human computer interaction and cell phones will be shown.

Electronic reproduction. Singapore : World Scientific Publishing Co., 2010. System requirements: Adobe Acrobat Reader. Mode of access: World Wide Web. Available to subscribing institutions.

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