Multimedia In Education

Adaptive Learning And Testing

By: Anup Basu, Randy Goebel, Lluis Vicent Safont, Irene Cheng

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Hardcover | 20 August 2010

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Hardcover
190 Pages

Dimensions(cm)
23.3 x 16.2 x 1.9

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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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Non-Fiction Education Education Equipment & Technology Teaching of a Specific Subject Computing & I.T.Business Applications Kids & Children's Books Educational Material Technology Educational Material IT & Computing Educational Material Booktopia Publisher Services World Scientific Publishing

List of Contributors	p. ix
Introduction and Overview	p. 1
The Trend Towards Online Multimedia Education	p. 2
Framework of an Online Multimedia Education System	p. 3
Innovative Item Types for Learning and Testing	p. 4
3D Items	p. 5
Drag and Drop Items (2D and 3D)	p. 7
Logical-Mathematical Items	p. 7
Language Items	p. 8
Educational Games	p. 9
Automatic Difficulty Level Estimation	p. 11
Testing Beyond Subject Knowledge	p. 12
Adaptive Testing and Student Modeling using Multimedia Items	p. 13
Multimedia Item Authoring Graphical Interface	p. 15
Learning Management Systems	p. 16
Statistical Analysis for E-Learning	p. 16
Multimedia Edutainment: Designing Professional Profiles	p. 17
Multimedia Education on Mobile Devices	p. 18
Learning Management System	p. 21
Introduction. What is a LMS?	p. 21
Tools	p. 22
Reasons for using LMS	p. 23
History of LMSs	p. 24
1960's	p. 24
1970's	p. 25
1980's	p. 26
2000's	p. 27
Tools and Services	p. 28
Communication and collaboration tools	p. 29
Assessment tools	p. 30
Learning activities and resources	p. 31
Interoperability Standards	p. 32
AICC and ADL SCORM	p. 32
IMS specifications	p. 33
Advantages of standards and specifications	p. 35
Problems with standards and specifications	p. 35
Web sites of interest on the last standards compatible tools	p. 36
The Future of LMSs	p. 37
Web 2.0 and e-learning 2.0	p. 37
Mobile electronic learning	p. 40
Standards and specifications	p. 40
Emotional development?	p. 42
3D Virtual environment	p. 43
Future trends	p. 45
Multimedia Edutainment: Designing Professional Profiles	p. 49
Introduction	p. 49
Education in Multimedia and Entertainment through Edutainment	p. 50
Definitions	p. 50
And the Academia got to believe in it	p. 51
Product Life Cycles	p. 53
Skills, Competences and Profiles	p. 55
General skills	p. 55
Specific skills	p. 56
Profiles	p. 57
Modules	p. 59
Edutainment within the Multimedia Engineering Studies	p. 61
Edutainment Experiences	p. 62
ALGTEC	p. 62
SmashBall	p. 66
I-Shadows	p. 67
SIMUSOLD	p. 69
Blink and LightClimber	p. 71
Conclusion	p. 72
Educational Games	p. 77
Introduction	p. 77
Benefits of educational games	p. 78
Computer Games and Applications	p. 85
Educational games	p. 85
ITS and game-based ITS	p. 88
Intelligent Tutoring Systems and Computer Games	p. 91
Student model	p. 93
Tutoring model	p. 97
Game module	p. 98
Example of Integration of an ITS and Computer Games	p. 100
ITS global models	p. 100
Game module	p. 102
ITS evaluation	p. 113
Discussion	p. 120
Automatic Difficulty Level Estimation of Multimedia Math Test Items	p. 125
Introduction	p. 125
Multimedia Items and Item Generation	p. 127
Difficulty Prediction for Traditional Math Item Types	p. 129
Item Response Theory	p. 130
Parameter-Based Estimation of Difficulty Level for Math Item Types	p. 132
Summary	p. 136
Tracking Students' Thinking in Solving Complex Process	p. 139
Introduction	p. 139
Motivation	p. 140
Design and implementation	p. 144
Process Dependency Graph (PDG): The Sequence of Steps in Problem Solving	p. 149
Step-by-step guidance	p. 150
Performance Monitoring Graph (PMG): Intelligent analysis of student thinking	p. 151
Fair and in-dept performance assessment	p. 151
Visual trails for educators	p. 153
General opinions from a free-trial	p. 154
Conclusion	p. 157
Statistical Analysis in E-learning	p. 159
Introduction	p. 159
Why Statistics in E-learning?	p. 160
Effective Statistical Analysis	p. 161
Basic statistical analysis	p. 161
Graphs	p. 164
Multivariate analysis	p. 166
How Can We Benefit from Statistical Analysis?	p. 171
Evaluation of the effectiveness of a question	p. 171
Evaluation of the reliability and the consistency of the test	p. 172
Evaluation of the performance of students in skills	p. 172
Classifying students according to skills performance	p. 175
Conclusion	p. 177
Table of Contents provided by Ingram. All Rights Reserved.

Multimedia In Education

Adaptive Learning And Testing

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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