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Special Section Introduction

Educational
Multimedia
Gerald Friedland
International Computer Science Institute
Wolfgang Hurst
¨
Utrecht University
Lars Knipping
Berlin University of Technology

M

aking education more engaging, more enjoyable, and, in
the end, more effective
through the use of multimedia technology has been the goal of many
researchers during the past few years. Encouraging results have been achieved so far. There
are many examples where multimedia is used
in educational scenarios with extraordinary
benefits. Because of these achievements, some
people actually consider computer-supported
teaching and learning not to be an interesting
area of research anymore; they claim that most
of the important questions have been solved.
We think that this isn’t true and we believe
that now is actually a perfect time to address
and refocus on this application area. Here, we
will discuss why.

Why study e-learning
First, we are currently observing a new wave
of e-learning. In the mid and late 1990s, the
growing popularity of the Web triggered the
idea of using related technologies for educational purposes, which not surprisingly resulted in the typical hype cycle: a peak of inflated
expectations, followed by a trough of disillusionment, and finally a plateau of productivity
that we are currently facing. However, the next
generation of Web technologies and applications, popularly summarized as Web 2.0, is
serving as another trigger for this area, which is
often and rather uninspiringly called E-Learning
2.0. Although it will most certainly lead to
another trough of disillusionment, this new

54

1070-986X/08/$25.00

G

2008 IEEE

trend should be taken seriously. There is no
reason to believe that there will not be another
plateau of productivity as a result of this second
wave as well. In addition, and particularly
relevant for multimedia researchers, Web 2.0
phenomena such as YouTube leads us to
suspect that multimedia now will play an even
greater and more significant role than it did in
the outcomes of the first hype cycle.
Second, the routine use of tools developed as
part of the first e-learning hype resulted in new
research opportunities. For example, all three
guest editors for this special section have been
involved in projects related to automated
lecture recording. The idea of creating multimedia learning material from automatically
recording classroom lectures has been investigated since the late 1990s. Today, this problem
can be considered solved—a statement that is
confirmed by a remarkable number of commercial systems now available for this task. However, the routine use of such tools opens up new
questions, such as how to store, archive, and
manage the resulting amount of data. One of
the guest editors of this special section, for
example, is now involved in a project focusing
on approaches for indexing and retrieval of
lecture recordings.1 Other research in this
context includes, for example, the semantic
annotation of such learning material.2
Finally, the next generation of devices and
technologies not only gives us new opportunities but also poses new problems. For
example, with the increasing performance of
smart phones and PDAs, replay of lecture
recordings is no longer limited to PCs and
laptops, thus offering great perspectives for
mobile learning. However, such use results in a
new problem, namely how such educational
material should be presented on the screens of
handheld devices, which usually have a low
resolution and a small size. In this context,
two of the guest editors, for example, are
involved in a research project where new
visualization algorithms are used to increase
the readability of an electronic whiteboard
recording on handheld devices by dynamically
zooming into areas of particular interest.3
Motivated by such arguments about the
timeliness and relevance of research in this
area, we organized the workshop ‘‘Educational
Multimedia and Multimedia Education’’ at the
2007 ACM Multimedia conference (see http://
emme2007.informatik.uni-freiburg.de).
The

Published by the IEEE Computer Society

Authorized licensed use limited to: International Computer Science Inst (ICSI). Downloaded on May 07,2010 at 21:30:10 UTC from IEEE Xplore. Restrictions apply.
goal of this workshop was to identify current
and evolving trends, specify open problems,
and discover challenges and prospects for new
research in the broad topic of multimediabased education. Its call attracted a broad
variety of submissions. In addition to articles
on new technologies and applications, we also
received contributions on softer and more
conceptual issues, two of which have been
selected for publication in the ACM e-learning
magazine.4,5 An overview and further comments on issues related to the more conceptual side of the workshop can be found
elsewhere.6 In addition, the workshop also
addressed questions about the status and
future prospects of multimedia education.7

Special section

July–September 2008

For this special section on educational
multimedia, we invited the authors of three
outstanding technical contributions to submit
their work for a showcase illustrating the
current state of the field.8–10 All of these
contributions are ongoing projects that
achieved impressive results and offer great
perspectives for the future, thus providing a
good idea about where the area is heading.
In their article ‘‘A Virtual Camera Team for
Lecture Recording,’’ Lampi, Kopf, Benz, and
Effelsberg describe their current work on
designing and implementing a virtual camera
team for lecture recordings. This research is
another example of the many new projects
that evolved around the work done in lecture
recording in the late 1990s and early 2000s. It’s
also interesting because it represents a common trend in current educational multimediarelated research: to automate existing approaches and make the involved processes
even more intelligent. In this case, the goal is
to use a distributed computer system to
produce lecture recordings that look like the
result a professional human camera team
would produce, that is, a video that is more
lively and interesting than current singlecamera recordings that don’t cut away from
the lecturer’s talking head.
The second article, ‘‘Toward Next-Generation Intelligent Tutors: Adding Natural Handwriting Input’’ by Anthony, Yang, and Koedinger, explores the use of handwritingrecognition-based interfaces in intelligent tutoring systems for students learning algebra.
Although it focuses mainly on single-media,

handwritten input, it’s an important contribution because, in our opinion, handwriting
as a media type offers great potential for
educational multimedia applications, which
hasn’t been exploited yet completely. In
addition, it’s a good example of the beneficial
use of new technology in the classroom
because pen-based interface use is getting
increasingly popular in many educational
institutions. It also represents a certain trend
of researchers seeming to consider the actual
benefit of newly introduced approaches more
than focusing on pure technological advancements—which unfortunately was often the
case in earlier e-learning-related projects.
Wang and Zhang’s article, ‘‘ApplicationSpecific Music Transcription for Instrument
Tutoring,’’ introduces a new approach for
music transcription. On the basis of their
existing research results in automatic music
transcription, the authors propose a framework for the development of much better and
more useful systems by integration of application-specific aspects into the development
process. Combining rather theoretical results
from traditional approaches on automatic
music transcription with application-specific
issues and aspects from human–computer
interaction reflects another common trend
we are currently observing: a higher level of
multidisciplinarity. In addition, the application area discussed here—home training for
violin players and singing students—isn’t
particularly targeted toward learners in educational institutions but addresses other users as
well. We generally expect that the second elearning wave actually will produce much
more multimedia-based learning tools for the
average user. The system proposed by Wang
and Zhang is a good example for this.
We selected all three contributions purely
on the basis of the quality of the existing results
and their prospect for future research. Hence,
the fact that they are from different continents—Northern America, Europe, and Asia,
respectively—is coincidental. Nevertheless, this
somehow reflects the broad and growing
interest in educational multimedia. Another
interesting fact about these projects is that all
three are truly multidisciplinary. Traditional
camera teams and computer scientists; pedagogues, math teachers, and handwriting-recognition experts; and music teachers, students,
and experts on signal analysis are working

55

Authorized licensed use limited to: International Computer Science Inst (ICSI). Downloaded on May 07,2010 at 21:30:10 UTC from IEEE Xplore. Restrictions apply.
together to build systems that not only present
technological achievements but also provide a
real benefit for the actual end user.

bra Learning,’’ Proc. Int’l Workshop Educational
Multimedia and Multimedia Education, ACM Press,
2007, pp. 47-56.
10. Y. Wang, B. Zhang, and O. Schleusing, ‘‘Educa-

Conclusion

tional Violin Transcription by Fusing Multimedia

We believe that the projects presented in
this showcase illustrate the huge potential of
educational multimedia and also the tremendous challenges and opportunities researchers
in this area are still facing. We thank everyone
who contributed to this special section and
helped us in compiling it. We thank the
authors for their contributions and the reviewers for their helpful comments and support,
the IEEE MultiMedia editorial team, Lindsey
Buscher from Allen Press, and Kofi Agyeman
Boakye and Sherry Zhao for their valuable help
and support.
MM

Streams,’’ Proc. Int’l Workshop Educational Multi-

References
1. W. Hurst and N. Deutschmann, ‘‘Searching in
¨

media and Multimedia Education, ACM Press, 2007,
pp. 57-66.
Gerald Friedland is a researcher at the International
Computer Science Institute in
Berkeley,

California.

His

re-

search interests include intelligent

multimedia

technology

with a focus on methods that
help people to easily create, edit, and navigate
content, aiming at creating solutions that ‘‘do what
the user means.’’ Friedland has a PhD in computer
science from Freie Universitat Berlin. He has received
¨
several international research and industry awards,

Recorded Lectures,’’ Proc. World Conf. E-Learning in

among them the European Academic Software

Corporate Government, Healthcare & Higher Educa-

Award in 2002 for the creation of the E-Chalk

tion (E-Learn), AACE, 2006, pp. 2859-2866.

system in cooperation with Lars Knipping.

2. S. Repp, S. Linckels, and C. Meinel, ‘‘Toward an
Automatic Semantic Annotation for Multimedia

Wolfgang Hurst is an assis¨

Learning Objects,’’ Proc. Int’l Workshop Educational

tant professor at the Depart-

Multimedia and Multimedia Education, ACM Press,

ment of Information and Com-

2007, pp. 19-26.

puting Sciences and a lecturer in

3. G. Luning et al., ‘‘Visualizing Large-Screen Elec¨

the Game and Media Technolo-

tronic Chalkboard Content on Handheld Devices,’’

gy master’s program at the Uni-

Proc.9th IEEE Symp. Multimedia, 2nd Int’l Workshop

versiteit Utrecht, Netherlands.

Multimedia Technologies for E-Learning (MTEL), IEEE

His research interests include multimedia systems

CS Press, 2007, pp. 369-379.

and technologies, human–computer interaction,

4. N. Sharda, ‘‘Digital Storytelling: The Creative and

mobile computing, information retrieval, and com-

Innovative Ingredient for eLearning,’’ to be pub-

puter-supported teaching and learning. Hurst has a
¨

lished in ACM eLearn Magazine.

PhD in computer science from the University of

5. G. Percival, Y. Wang, and G. Tzanetakis, ‘‘Can

Freiburg, Germany.

Computers Help Us Become Better Musicians?—An
Introduction to Computer-Assisted Musical Instrument

Lars Knipping is a researcher

Tutoring,’’ to be published in ACM eLearn Magazine.

in the mathematics department

6. G. Friedland et al., ‘‘Can We Escape the Trough of

at the Berlin University of Tech-

Disillusionment?’’ to be published in ACM eLearn

nology. His research interests

Magazine.

include human–computer inter-

7. G. Friedland, W. Hurst, and L. Knipping, ‘‘Multi¨

action, whiteboard systems, and

media Education in Computer Science: A Little Bit

robotics in education. Knipping

IEEE MultiMedia

of Everything is Not Enough!’’ IEEE MultiMedia,

56

has a PhD for his work on the E-Chalk system. He is a

vol. 15, no. 2, pp. 78-82.

member of the DIN-NIA 36 expert group that

8. F. Lampi et al., ‘‘An Automatic Cameraman in a

cooperates with ISO SC-36 in creating e-learning

Lecture Recording System,’’ Proc. Int’l Workshop

standards. He belongs to the board of editors of the

Educational Multimedia and Multimedia Education,

International Journal of Interactive Technology and

ACM Press, 2007, pp. 11-18.

Smart Education and the editorial team of the

9. L. Anthony, J. Yang, and K.R. Koedinger, ‘‘Adapting
Handwriting Recognition for Applications in Alge-

International Journal of Emerging Technologies in
Learning.

Authorized licensed use limited to: International Computer Science Inst (ICSI). Downloaded on May 07,2010 at 21:30:10 UTC from IEEE Xplore. Restrictions apply.

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Educationalmultimedia08

  • 1. Special Section Introduction Educational Multimedia Gerald Friedland International Computer Science Institute Wolfgang Hurst ¨ Utrecht University Lars Knipping Berlin University of Technology M aking education more engaging, more enjoyable, and, in the end, more effective through the use of multimedia technology has been the goal of many researchers during the past few years. Encouraging results have been achieved so far. There are many examples where multimedia is used in educational scenarios with extraordinary benefits. Because of these achievements, some people actually consider computer-supported teaching and learning not to be an interesting area of research anymore; they claim that most of the important questions have been solved. We think that this isn’t true and we believe that now is actually a perfect time to address and refocus on this application area. Here, we will discuss why. Why study e-learning First, we are currently observing a new wave of e-learning. In the mid and late 1990s, the growing popularity of the Web triggered the idea of using related technologies for educational purposes, which not surprisingly resulted in the typical hype cycle: a peak of inflated expectations, followed by a trough of disillusionment, and finally a plateau of productivity that we are currently facing. However, the next generation of Web technologies and applications, popularly summarized as Web 2.0, is serving as another trigger for this area, which is often and rather uninspiringly called E-Learning 2.0. Although it will most certainly lead to another trough of disillusionment, this new 54 1070-986X/08/$25.00 G 2008 IEEE trend should be taken seriously. There is no reason to believe that there will not be another plateau of productivity as a result of this second wave as well. In addition, and particularly relevant for multimedia researchers, Web 2.0 phenomena such as YouTube leads us to suspect that multimedia now will play an even greater and more significant role than it did in the outcomes of the first hype cycle. Second, the routine use of tools developed as part of the first e-learning hype resulted in new research opportunities. For example, all three guest editors for this special section have been involved in projects related to automated lecture recording. The idea of creating multimedia learning material from automatically recording classroom lectures has been investigated since the late 1990s. Today, this problem can be considered solved—a statement that is confirmed by a remarkable number of commercial systems now available for this task. However, the routine use of such tools opens up new questions, such as how to store, archive, and manage the resulting amount of data. One of the guest editors of this special section, for example, is now involved in a project focusing on approaches for indexing and retrieval of lecture recordings.1 Other research in this context includes, for example, the semantic annotation of such learning material.2 Finally, the next generation of devices and technologies not only gives us new opportunities but also poses new problems. For example, with the increasing performance of smart phones and PDAs, replay of lecture recordings is no longer limited to PCs and laptops, thus offering great perspectives for mobile learning. However, such use results in a new problem, namely how such educational material should be presented on the screens of handheld devices, which usually have a low resolution and a small size. In this context, two of the guest editors, for example, are involved in a research project where new visualization algorithms are used to increase the readability of an electronic whiteboard recording on handheld devices by dynamically zooming into areas of particular interest.3 Motivated by such arguments about the timeliness and relevance of research in this area, we organized the workshop ‘‘Educational Multimedia and Multimedia Education’’ at the 2007 ACM Multimedia conference (see http:// emme2007.informatik.uni-freiburg.de). The Published by the IEEE Computer Society Authorized licensed use limited to: International Computer Science Inst (ICSI). Downloaded on May 07,2010 at 21:30:10 UTC from IEEE Xplore. Restrictions apply.
  • 2. goal of this workshop was to identify current and evolving trends, specify open problems, and discover challenges and prospects for new research in the broad topic of multimediabased education. Its call attracted a broad variety of submissions. In addition to articles on new technologies and applications, we also received contributions on softer and more conceptual issues, two of which have been selected for publication in the ACM e-learning magazine.4,5 An overview and further comments on issues related to the more conceptual side of the workshop can be found elsewhere.6 In addition, the workshop also addressed questions about the status and future prospects of multimedia education.7 Special section July–September 2008 For this special section on educational multimedia, we invited the authors of three outstanding technical contributions to submit their work for a showcase illustrating the current state of the field.8–10 All of these contributions are ongoing projects that achieved impressive results and offer great perspectives for the future, thus providing a good idea about where the area is heading. In their article ‘‘A Virtual Camera Team for Lecture Recording,’’ Lampi, Kopf, Benz, and Effelsberg describe their current work on designing and implementing a virtual camera team for lecture recordings. This research is another example of the many new projects that evolved around the work done in lecture recording in the late 1990s and early 2000s. It’s also interesting because it represents a common trend in current educational multimediarelated research: to automate existing approaches and make the involved processes even more intelligent. In this case, the goal is to use a distributed computer system to produce lecture recordings that look like the result a professional human camera team would produce, that is, a video that is more lively and interesting than current singlecamera recordings that don’t cut away from the lecturer’s talking head. The second article, ‘‘Toward Next-Generation Intelligent Tutors: Adding Natural Handwriting Input’’ by Anthony, Yang, and Koedinger, explores the use of handwritingrecognition-based interfaces in intelligent tutoring systems for students learning algebra. Although it focuses mainly on single-media, handwritten input, it’s an important contribution because, in our opinion, handwriting as a media type offers great potential for educational multimedia applications, which hasn’t been exploited yet completely. In addition, it’s a good example of the beneficial use of new technology in the classroom because pen-based interface use is getting increasingly popular in many educational institutions. It also represents a certain trend of researchers seeming to consider the actual benefit of newly introduced approaches more than focusing on pure technological advancements—which unfortunately was often the case in earlier e-learning-related projects. Wang and Zhang’s article, ‘‘ApplicationSpecific Music Transcription for Instrument Tutoring,’’ introduces a new approach for music transcription. On the basis of their existing research results in automatic music transcription, the authors propose a framework for the development of much better and more useful systems by integration of application-specific aspects into the development process. Combining rather theoretical results from traditional approaches on automatic music transcription with application-specific issues and aspects from human–computer interaction reflects another common trend we are currently observing: a higher level of multidisciplinarity. In addition, the application area discussed here—home training for violin players and singing students—isn’t particularly targeted toward learners in educational institutions but addresses other users as well. We generally expect that the second elearning wave actually will produce much more multimedia-based learning tools for the average user. The system proposed by Wang and Zhang is a good example for this. We selected all three contributions purely on the basis of the quality of the existing results and their prospect for future research. Hence, the fact that they are from different continents—Northern America, Europe, and Asia, respectively—is coincidental. Nevertheless, this somehow reflects the broad and growing interest in educational multimedia. Another interesting fact about these projects is that all three are truly multidisciplinary. Traditional camera teams and computer scientists; pedagogues, math teachers, and handwriting-recognition experts; and music teachers, students, and experts on signal analysis are working 55 Authorized licensed use limited to: International Computer Science Inst (ICSI). Downloaded on May 07,2010 at 21:30:10 UTC from IEEE Xplore. Restrictions apply.
  • 3. together to build systems that not only present technological achievements but also provide a real benefit for the actual end user. bra Learning,’’ Proc. Int’l Workshop Educational Multimedia and Multimedia Education, ACM Press, 2007, pp. 47-56. 10. Y. Wang, B. Zhang, and O. Schleusing, ‘‘Educa- Conclusion tional Violin Transcription by Fusing Multimedia We believe that the projects presented in this showcase illustrate the huge potential of educational multimedia and also the tremendous challenges and opportunities researchers in this area are still facing. We thank everyone who contributed to this special section and helped us in compiling it. We thank the authors for their contributions and the reviewers for their helpful comments and support, the IEEE MultiMedia editorial team, Lindsey Buscher from Allen Press, and Kofi Agyeman Boakye and Sherry Zhao for their valuable help and support. MM Streams,’’ Proc. Int’l Workshop Educational Multi- References 1. W. Hurst and N. Deutschmann, ‘‘Searching in ¨ media and Multimedia Education, ACM Press, 2007, pp. 57-66. Gerald Friedland is a researcher at the International Computer Science Institute in Berkeley, California. His re- search interests include intelligent multimedia technology with a focus on methods that help people to easily create, edit, and navigate content, aiming at creating solutions that ‘‘do what the user means.’’ Friedland has a PhD in computer science from Freie Universitat Berlin. He has received ¨ several international research and industry awards, Recorded Lectures,’’ Proc. World Conf. E-Learning in among them the European Academic Software Corporate Government, Healthcare & Higher Educa- Award in 2002 for the creation of the E-Chalk tion (E-Learn), AACE, 2006, pp. 2859-2866. system in cooperation with Lars Knipping. 2. S. Repp, S. Linckels, and C. Meinel, ‘‘Toward an Automatic Semantic Annotation for Multimedia Wolfgang Hurst is an assis¨ Learning Objects,’’ Proc. Int’l Workshop Educational tant professor at the Depart- Multimedia and Multimedia Education, ACM Press, ment of Information and Com- 2007, pp. 19-26. puting Sciences and a lecturer in 3. G. Luning et al., ‘‘Visualizing Large-Screen Elec¨ the Game and Media Technolo- tronic Chalkboard Content on Handheld Devices,’’ gy master’s program at the Uni- Proc.9th IEEE Symp. Multimedia, 2nd Int’l Workshop versiteit Utrecht, Netherlands. Multimedia Technologies for E-Learning (MTEL), IEEE His research interests include multimedia systems CS Press, 2007, pp. 369-379. and technologies, human–computer interaction, 4. N. Sharda, ‘‘Digital Storytelling: The Creative and mobile computing, information retrieval, and com- Innovative Ingredient for eLearning,’’ to be pub- puter-supported teaching and learning. Hurst has a ¨ lished in ACM eLearn Magazine. PhD in computer science from the University of 5. G. Percival, Y. Wang, and G. Tzanetakis, ‘‘Can Freiburg, Germany. Computers Help Us Become Better Musicians?—An Introduction to Computer-Assisted Musical Instrument Lars Knipping is a researcher Tutoring,’’ to be published in ACM eLearn Magazine. in the mathematics department 6. G. Friedland et al., ‘‘Can We Escape the Trough of at the Berlin University of Tech- Disillusionment?’’ to be published in ACM eLearn nology. His research interests Magazine. include human–computer inter- 7. G. Friedland, W. Hurst, and L. Knipping, ‘‘Multi¨ action, whiteboard systems, and media Education in Computer Science: A Little Bit robotics in education. Knipping IEEE MultiMedia of Everything is Not Enough!’’ IEEE MultiMedia, 56 has a PhD for his work on the E-Chalk system. He is a vol. 15, no. 2, pp. 78-82. member of the DIN-NIA 36 expert group that 8. F. Lampi et al., ‘‘An Automatic Cameraman in a cooperates with ISO SC-36 in creating e-learning Lecture Recording System,’’ Proc. Int’l Workshop standards. He belongs to the board of editors of the Educational Multimedia and Multimedia Education, International Journal of Interactive Technology and ACM Press, 2007, pp. 11-18. Smart Education and the editorial team of the 9. L. Anthony, J. Yang, and K.R. Koedinger, ‘‘Adapting Handwriting Recognition for Applications in Alge- International Journal of Emerging Technologies in Learning. Authorized licensed use limited to: International Computer Science Inst (ICSI). Downloaded on May 07,2010 at 21:30:10 UTC from IEEE Xplore. Restrictions apply.