A Survey of Distance Education Challenges and Technologies 1
Chapter I
A Survey of Distance
Education Challenges
and Technologies
Timothy K. Shih1, Tamkang University, Taiwan
Jason C. Hung,
Northern Taiwan Institute of Science and Technology, Taiwan
Jianhua Ma, Hosei University, Japan
Qun Jin, University of Aizu, Japan
Abstract
Distance education, e-learning, and virtual university are similar terms for
a trend of modern education. It is an integration of information technologies,
computer hardware systems, and communication tools to support educational
professionals in remote teaching. This chapter presents an overview of
distance education from the perspective of policy, people, and technology.
A number of questions frequently asked in distance learning panel
discussions are presented, with the suggested answers from the authors.
The survey presented in this chapter includes communication, intelligent,
and educational technologies of distance education. Readers of this
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2 Shih, Hung, Ma, and Jin
chapter are academic researchers and engineers who are interested in new
research issues of distance education, as well as educators and general
participants who are seeking for new solutions.
History, Trend, and Elements
of Distance Education
With the growing popularity of multimedia and Internet technologies, distance
education programs have become popular and thus, importance of the related
technologies are realized by educational professionals and information technology researchers. However, distance education is not totally new. The use of
computer and information technologies in education has a long history. Ever
since Thomas Edison predicted that motion pictures would replace textbooks for
learning in 1922, the use of video was popular in training. Especially, in the World
War II, the U.S. Army used video tapes to train employees. Shortly after WWII,
video technology and television were used for training and demonstration. In this
period, instruction was broadcasted in a single direction. There is no interaction
between audiences and the instructor. However, the advantage is, the number
of participants to the program can be larger than the traditional classroom
education, especially when satellite communication was integrated with video
broadcasting. Efficiency of video training was the first reason for education to
use modern technology. The use of computers follows video technology as the
second phase of modern education. Computer-based training (CBT) and computer-assisted instruction (CAI) use information technologies and educational
theory to develop interactive software. The solution allows students to interact
with their instructor (i.e., a computer) in a limited way. Mostly, CBT was limited
to drill and practice. However, CBT and CAI were the first attempt to use
computers for teaching, which enrich a new instruction delivery style — the
automation. In spite of this advantage, CBT and CAI software had a problem
in the ’70s and the ’80s — lack of stability. In that stage, computer hardware,
operating systems, and system programs evolved dramatically and quickly. A
CBT program is hardly used for several years due to the change of its supporting
environments. Stability was a main consideration for computer-based modern
education. Since the early ’90s, the third period of modern education was
stimulated by the invention of multimedia and Internet technologies. Multimedia
presentations as CD ROM titles for education, Web-based distance-learning
programs, and even online video conferencing based on ISDN, ADSL, and
broadband communication channels became popular. With the new millennium
and beyond, computer and communication technologies will be integrated with
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A Survey of Distance Education Challenges and Technologies 3
Contents (i.e., the integration of 3Cs). Distance education is certainly one of the
potential activities rely on this integration. However, new technologies can be
further investigated. For instance, real-time protocols, broadband and wireless
communication technologies, multimedia streaming algorithms, intelligent tutoring, behavior analysis of students, copyright protection and authentication
mechanisms, visual computing, and new learning models, as well as other issues
of distance education still need researchers, engineers, and participants to work
together, to make the third revolution stage of modern education successful. The
International Journal of Distance Education Technologies (JDET) is a
primary forum for disseminating practical solutions to the automation of open and
distance learning. We hope the journal will look at some of these problems from
the technology perspective, and contribute solutions to the third stage of modern
education.
We begin with the presentation on categories of distance learning, which include
distance learning programs in conventional universities and virtual universities,
as well as e-learning portals. Elements of distance learning including policy,
people, and technology needs toward the success of distance education are also
presented, followed by some highlights of challenge issues. In Section II, we
collect 18 questions which were frequently asked in several panel discussions in
distance education related international conferences, with some suggested
answers from the authors or panelists. Then, we present a survey of distance
education technologies, which are divided into three categories according to the
theme of JDET.
Categories of Distance-Learning
Programs
Distance learning is widely available in conventional universities, as regular
and continuous education programs. Types of courses offered include general
education, management and business administration, engineering, language
education, and others. Most courses taught in classroom are possible for distance
learning, except a few cases which require lab experiments (e.g., chemistry).
Degrees or certificates offered including bachelor, master, and even doctorate
levels. Supporting systems or tools used in this type of distance-learning
programs can be divided into two types:
•
Traditional tools: Videotape (S-VHS), cable/public television, satellite
video conferencing, tele-conferencing, textbook
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4 Shih, Hung, Ma, and Jin
•
Computer-assisted and network tools: CD-ROM titles, Web browser,
Whiteboard, Chat room, Real player, Quicktime, Windows Media Player,
broadband video conferencing, WebCT, LearningSpace, Blackboard
Note that, textbooks are still widely used, even it is possible to publish their
electronic versions on the Internet. Proprietary communication tools are developed to support online discussion, either in a limited bandwidth environment (e.g.,
chat room) or in a broadband communication facility (e.g., video conferencing).
A few integrated systems such as WebCT are commercially available. These
systems provide functions ranging from administration, courseware creation and
management, communication, assessment, and some even provide course
contents. It is interesting to see how a traditional university evaluates performance of distance-learning students. Some rely on fax, e-mail, or even surface
mail to collect reports and homework. In some cases, secure online quizzes and
chat room participations are counted as evaluation criteria. However, personally-proctored examinations are commonly found in this type of distance
education (i.e., distance-learning programs in conventional universities).
With a similar functionality but different audience target, virtual universities
are also widely available for continuous education programs. University of
Phoenix and Athabasca University are one of the largest virtual universities in
U.S. and Canada, respectively. Virtual universities allow students to take the
flexibility of time and location. Students who have their industrial career will be
able to complete their higher level education without sacrificing their business.
In some cases, a distance-learning course in virtual university can be completed
in five to six weeks. And, it is possible to shorten the number of years to gain a
diploma (as compared to four years of study for an undergraduate degree).
Software systems and student evaluation strategies in virtual universities are
similar to traditional universities. Even some virtual universities aim to provide a
100% remote learning based on Internet, to get a degree, some residential
requirements are necessary, especially for a higher level degree.
E-learning portal is another style of distance learning. It is similar to virtual
university, but with a different emphasis on the kind of audiences and courses.
E-learning portals aim to provide a solution to small or middle size companies,
which like to have their employee training or customer service on the Internet.
Practical courses instead of theory studies are welcome in e-learning portals. In
some cases, customized course contents can be built to satisfy the needs of
individual companies. Usually, e-commerce facility is incorporated with an elearning portal to provide additional services (e.g., book selling).
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A Survey of Distance Education Challenges and Technologies 5
Elements of Distance Learning
In spite of the slight difference among the three categories of distance-learning
programs, the fundamental elements of distance education are similar. These
elements (shown in Figure 1) are the essential components which affect the
development of distance-learning programs.
From the policy perspective, the evaluation criteria of distance-learning programs affect the instructional quality and performance of students, which has an
influence to how the industry trusts distance education. On the other hand, the
approval of diploma is an important factor of attraction to students who wish to
join a virtual university. If the government or a university establishes a high
requirement, less number of students will enroll. Thus, standard evaluation
criteria should be established. The overall evaluation may include teaching
evaluation to instructors and the review of course contents, as well as the
performance evaluation of students. The standardization of courseware format
and platform (e.g., SCORM) (Dodds, 2002) will ease the exchange of course
materials. It is time consuming to create high quality distance-learning courseware.
Courseware exchange has become one of the possible solutions to reduce the
load of a courseware designer. But, each courseware has a copyright. Who
should own the intellectual property (IP) is an issue of policy. In some cases, the
IP belongs to the virtual university. But, this is definitely different from the IP
of a textbook. The IP issue is different depending on different institutes and
countries. Moreover, different traditional universities have different focuses
and strengths. The focuses of virtual universities are different as well. Other
policy issues are related to sociological behavior of students, such as how an
individual trusts a friend in the virtual world. We will discuss some of these
issues in Section II.
Figure 1. Elements of distance education
Policy
Criteria for Diploma or Degree
Courseware/Platform Standard
Intellectual Property
Classification of Virtual Universities
People/Sociological Considerations
Technology
People
Artiste
Engineer
Administrator
Student/Customer
Educational Professional
WWW
Internet/Internet II
Educational Theory
Intelligent Methods
Software Engineering
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6 Shih, Hung, Ma, and Jin
From the perspective of who should work for a distance-learning program, there
are several types of experts. To create a high quality distance-learning courseware,
educational professionals, engineers, and art designers should work together.
Distance-learning platforms should be maintained by an engineer or an instructor. The administrator should review and manage distance-learning courses as
well as the curriculum schedule. Sometimes, it is hard to divide the boundary. An
instructor can maintain the distance-learning platform by himself or herself, as
well as handling the schedule. The organization of human resource in a distancelearning program also affects the success of the program.
This journal focuses on the technology perspective of distance education. We
will discuss some technical challenges of distance education in the next section.
We should point out that, technology should be used by people. That is, an
investigation of automatic mechanism to build a better distance-learning system
must consider the need of an end user. But, the development of a good software
system also affects the decision of a policy, which affects the end user again.
Therefore, policy, technology, and people are strongly related in the life-cycle of
distance education.
Challenges and Issues of
Distance-Learning Technologies
Several advantages make distance learning become popular and important.
Convenience and flexibility are some of the main reasons. With the growing
number of Internet users, Web-based distance-learning programs enable lifelong
education anytime at any location. Scalability of participants is another advantage. With a proper support of network infrastructures and computer systems,
a large number of students can join distance-learning programs together.
Moreover, timely update of course contents and online discussion give students
the benefit of acquiring firsthand information, which is precisely presented by
using computer software. All of these advantages accelerate the development
of distance education.
However, challenges and issues must be investigated from different perspectives, including sociological, policy, and technical issues. Even sociological and
policy issues are less related to technology, in the next section, we present some
questions and answers. From the technique perspective, we highlight some
research issues as the following:
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A Survey of Distance Education Challenges and Technologies 7
•
Course and user management: An administration system should provide
efficient management tools for administrators, instructors, and students. If
online course materials are provided on the Web, a friendly interface and
supporting tools are required. For instance, an online student service center
helps students to find references, suitable courses, and answers to general
questions.
•
Efficient courseware development tools: It is time consuming for a
course designer to develop high quality courseware. A friendly courseware
tool helps instructors to design or customizes course materials from
reusable course components. In addition, a question database and exam
composition tool may help an instructor to design an examination easily.
•
Instance hints and intelligent tutoring: While a student is navigating an
online course, an intelligent agent is able to analyze his or her behavior, and
provides real-time and useful suggestions. In some cases, an agent program
will guide the student through different learning topology depending on the
behavior of the student.
•
FAQ summarization and automatic reply: It is also time consuming for
an instructor to answer questions from students’ e-mails. An auto-reply
system should be able to use information retrieval techniques to summarize
frequently asked questions, and reply to new questions with proper answers.
•
Unbiased examination and student assessment: It is difficult to ensure
the behavior of students while an online examination is under processing but
without a human monitor. A surveillance tool can randomly take a snapshot
of on-the-spot screen while the examination proceeds. Also, in some
distance-learning programs, chat room participation will be counted as an
evaluation criterion. An intelligent tool should be able to check if a student
has devoted himself or herself in a discussion.
•
Individualized quizzes: Some distance-learning systems are able to
generate different test questions for each individual student on the basis of
a similar difficulty level. This type of system will ensure an unbiased
examination as well.
•
Privacy of student: Personal information of a student should be hid from
another student, the administrator, and even the instructors. Unless it is
necessary to assess student performance from his or her personal data
(such as answers to an assignment or exam), privacy should be enforced.
•
Broadband and real-time communication: For online discussion using
video conferencing, quality-of-services should be guaranteed with the
support of broadband and real-time communication facilities.
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8 Shih, Hung, Ma, and Jin
•
Universal and mobile accessibility: Students and instructors should be
able to access the distance-learning Web site from any location with
different devices, such as PDAs or cellular phones. Wireless communication techniques may be incorporated in a distance-learning system.
•
Scalability: As the number of students enrolled becomes larger, distributed
Web services should be able to re-direct requests of students to different
Web servers to share bandwidth and hardware load.
•
Remote lab and simulation: Domain specific remote labs connected to
Internet need to be developed to support online experiments. If remote labs
are not available, online simulation tools (i.e., virtual lab) should be
provided.
•
Multilingual support: Since distance education can be accessed from
anywhere in the world, distance education platform and systems should
consider multilingual support for the international society.
•
Evaluation standard of distance education: Standard criteria and
questionnaires should be setup to allow teaching evaluation, evaluation of
courseware, student performance evaluation, and the evaluation of a
distance-learning program.
Some of the previous issues had been solved, as we will discuss in Section III.
Before the survey of these solutions, we present some questions and answers
frequently occurred in distance-learning related panel discussions.
Problems and Discussions
According to software engineering principles, verification and validation are two
key methods to ensure the quality of a software system. Verification means to
check whether a software system meet the requirement of a specification. Most
importantly, validation checks whether a software system meets the needs of
users. A software system not used by any user will lose its value. Thus, it is
important to know “what the users need” before any distance-learning system
is developed. In addition, methodological and sociological issues of distance
education may influence what the users need. It is important to realize these
fundamental issues, before we consider any software specification of a distancelearning system.
We collect questions frequently asked in panel discussions of international
conferences related to multimedia computing, distributed systems, communica-
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A Survey of Distance Education Challenges and Technologies 9
tion, and database systems. These panel discussions focus on distance learning
or virtual society. Some of the panelists are authors of this chapter. We also
circulate these questionnaires among experts, either as system developers, or as
end users of distance-learning systems. We summarize suggestions and answers 2 from the international society, which is presented next.
1.
2.
3.
Who is interested in distance-learning courses? What motivates the students to take distance-learning courses?
•
Adult working students are interested (Shih, Dow, Chee, Jin,
Asirvatham, Leong, Arndt)
•
Intercampus courses for university students or geographically isolated
students (Dow, Li, Arndt)
•
Professional training for career (Li, Asirvatham, Leong)
•
To get the first degree (Chee)
•
Flexibility in time and location (Shih, Dow, Li, Jin, Leong, Arndt)
•
Can save money (Arndt)
What is the role of student service center (i.e., TAs, Curriculum Advisors,
and Administrators)? Is the center a success reason to attract students?
•
Education is a service (i.e., the center is a requirement) (Shih, Jin,
Asirvatham)
•
Student Service Center is a successful reason (Shih)
•
TA’s in Student Service Center help students (Li, Lin, Leong, Arndt)
•
Provide vital human element in learning is necessary (Chee)
•
Korea adult students seem to be independent. Seventy percents of
students choose DL program without the help from a tutor (Jung,
quoted by Shih)
What is the minimal requirement for admission? Will GRE, GMAT, and
TOEFL be taken into the considerations?
•
TOEFL Should be considered for courses in English for international
students (Shih, Li, Lin, Leong)
•
Basic language and literacy skills is necessary (Chee, Arndt)
•
Working experiences should be considered (Asirvatham)
•
May not be necessary (wide-entrance and narrow-exit, allowing better
financial support to the organization) (Jin, Asirvatham, Leong, Arndt)
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10 Shih, Hung, Ma, and Jin
4.
5.
6.
7.
What types of courses are suitable for distance learning?
•
Lab facility is a consideration (Shih, Lin, Jin, Chee, Asirvatham, Arndt)
•
Courses with less update of contents (e.g., English grammar, math,
etc.) (Shih)
•
Popular courses (for efficiency) (Dow)
•
Courses which can benefit from hypermedia and multimedia technologies (Li)
•
Knowledge-oriented courses (i.e., literature, language) (Chee, Leong)
•
Courses of high degree interaction may be restricted due to facility
(Leong)
What types of instructors are suitable for distance learning?
•
Instructors who like to have online interactions and to try distance
learning tools (Li, Chee, Jin, Leong, Asirvatham)
•
Instructors who wants to reuse course materials (Li, Asirvatham)
•
Instructors who appreciate the flexibility of distance learning (Arndt)
What levels of distance programs are realistic (e.g., colleague education vs.
elementary education)?
•
College level is suitable (Shih, Li, Lin, Chee, Jin, Asirvatham, Leong,
Arndt)
•
K-12 (Shih, Jin, Arndt)
•
Adults and job training (Jin)
Is the classification of virtual universities necessary (i.e., university ranking
for different purposes)?
•
8.
Virtual universities may have different missions and focuses (Shih, Li,
Chee, Jin, Asirvatham, Leong, Arndt)
Can students learn from each other? Is group discussion less efficient in
distance education?
•
Student can learn from each other if a better communication facility is
provided (Shih, Chee, Jin, Asirvatham, Leong)
•
Discussion using chat room tools will be efficient as well. And,
discussion should be a requirement (Dow, Li, Asirvatham, Leong,
Arndt)
•
Communication techniques should be considered (i.e., human to
human and human to computer interactions) (Jin)
•
Conflicts with different view points in an off-line discussion may be
higher than those proceeded online or face-to-face (Leong)
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A Survey of Distance Education Challenges and Technologies 11
9.
Does student need grade in a virtual university? Does virtual university
need to operate the same as a traditional university (i.e., quiz and exam)?
•
Need grade to gain a trust from the society (Shih, Lin, Chee, Asirvatham,
Leong)
•
Need grade to enforce and encourage students (Dow, Li, Asirvatham)
•
Grade can be used as a feedback from students (Dow)
•
May not need grade (let the society to make the justification) (Shih,
Chee, Jin, Leong)
•
Virtual university should support both graded and non-graded (i.e.,
audit) options (Arndt)
10. Do traditional and virtual university students behave differently in different
Culture? For instance, oriental students are shy to ask questions in class.
But, they will ask questions using e-mail.
•
Sending e-mail for question is common everywhere (Shih, Jin, Arndt)
•
Distance education may benefit oriental students in off-line discussions (Li, Dow, Asirvatham, Leong)
11. Will the sociological behavior of students be different in virtual university?
For instance, will a colleague student have a difficulty to find girl (or boy)
friend in a virtual university?
•
Students can still make some virtual friends (Shih, Dow, Li, Lin, Jin)
•
Sociological behavior could be different (Chee, Asirvatham)
•
Easy to find a friend, but hard to gain trust (Jin, Leong)
•
Face-to-face interaction in the beginning will facilitate further discussion (Arndt)
12. Does the industrial society trust the quality of distance education?
•
The reputation of a virtual university may depend on its founding
university (a conventional university) (Shih, Jin, Asirvatham, Leong)
•
Good quality of service and contents will gain trust (Dow, Li, Lin, Jin)
13. Who should design the course material (i.e., the instructor vs. the book
author)?
•
A generic course content can be designed by the book author, while
allowing each instructor to edit the content as needed (Shih, Dow, Jin,
Leong)
•
The instructor should design the content. Copyright of the textbook
should be considered (Li, Lin, Chee, Asirvatham, Arndt)
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12 Shih, Hung, Ma, and Jin
14. What about the intellectual property and legal issues of the course material?
Should the course material belong to the instructor, or to the university (and
for how long)?
•
Belong to the instructor, but commercial profit should be shared with
the university (Dow, Asirvatham)
•
Belong to the university (Li, Lin)
•
To be decided by different government and situation (Chee, Jin, Arndt)
15. Will there be a threat from “the big professor” and “the super university”?
•
Yes (Shih, Dow, Li, Chee, Jin, Asirvatham, Leong)
•
Yes, but still need a large number of instructors for online tutoring to
fit individual needs (Leong, Arndt)
16. How does distance learning impact high-level education in the near future?
•
Distance learning will affect high-level education, for instance, in
continued education and profession education (Dow, Li, Lin, Jin,
Asirvatham)
•
Combining traditional lecture and distance learning (Asirvatham,
Leong)
•
Will bring a higher degree of competition among universities (Arndt)
17. How does distance learning impact the industry?
•
Distance learning can be used in training and customer service (Dow,
Li, Chee, Jin, Asirvatham, Leong, Arndt)
•
The industry can provide feedback to university (Li)
18. Yet another “dotcom” issue (i.e., not so optimistic)?
•
No (Shih, Dow, Li, Lin, Jin, Asirvatham, Leong, Arndt)
•
Distance learning will be used as a supplement to traditional university.
Thus, it will last. (Shih, Jin)
The previous questions and answers indicate some problems, mostly related to
sociological and policy issues. However, from the perspective of technology,
there are a few issues which can result in better situations if automatic
mechanisms are developed. It is the hope that, educational professionals,
researchers, software developers, and even students can work together to seek
out new and useful automatic tools, to make distance education easier and
successful. For instance, the role of student service centers is considered
important in most answers. But, teaching assistants should be incorporated. A
good tool will help TAs to locate questions and answers, which can be annotated
to satisfy a particular situation while help is requested. If the list of questions and
answers can be properly stored in a database, with advanced information
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A Survey of Distance Education Challenges and Technologies 13
retrieval technology, the system can possibly reply to frequently asked questions
automatically. In addition, if a remote lab is hard to build, a virtual lab (i.e.,
simulation) should be developed ss that chemistry and other experiments can be
implemented. Also, advanced communication tools will certainly help group
discussion. Regarding the development of courseware, a word processor for
typesetting textbooks should be integrated with an authoring tool, such that Webbased courseware can be automatically or semi-automatically created. Image
and video watermark techniques will help copyright protection of online
courseware. And, secure payment mechanisms developed for E-commerce can
be used in distance education. These examples encourage us to develop good
distance-learning systems, which should fit the need of instructors, administrators, as well as students.
But, how should a virtual university operate? According to a traditional university, instruction delivery is the most important activity. In order to realize the main
activity smoothly, administration is required. A traditional university usually has
some student activities and organizations, which need to be properly supported
by the university’s infrastructure. These are some of the important operation
factors of a traditional university. A virtual university also focuses on instruction
delivery. But, due to the geographical difference, communication tools should be
efficient enough to realize instruction. Communication efficiency points out an
important factor: the awareness impact. Awareness indicates how strong an
individual feels the existence of another person in the communication. For
instance, when two persons have an eye contact, the awareness is high. When
people are located in different cities and are talking on the phone, the awareness
is lower. Sending postal mail has the lowest awareness among these three
communication channels. Since a virtual university is distributed geographically,
how to use computer networks to guarantee a reasonable awareness is one of
the considerations. Awareness certainly affects instruction quality. On the other
hand, a virtual university needs administration, which includes activities such as
registration, course selection, accounting, and so on. Furthermore, a university
needs to ensure that students are learning in order to meet some evaluation
standard. This step is to guarantee the quality of education. A virtual university
is different to a traditional university in that assessment is difficult. Conclusively,
we believe that, a well-considered virtual university supporting system needs to
meet the following three criteria:
•
The administration criterion: A virtual university environment needs to
have administration facilities to keep admission records, transcripts, accounting records, and so on. These administration tools should be available
to administrators, instructors, and students (e.g., checking transcript information).
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14 Shih, Hung, Ma, and Jin
•
The awareness criterion: Distance learning is different from traditional
education. Since instructors and students are separated spatially, they are
sometimes hard to “feel” the existence of each other. A virtual university
supporting environment needs to provide reasonable communication tools
such that awareness is satisfied.
•
The assessment criterion: Assessment is the most important and
difficult part of distance education. Tools to support the evaluation of
student learning should be sophisticated enough to avoid unbiased assessment.
In the next section, we summarize automatic mechanisms which can be applied
in the development of distance education systems. We divide the mechanisms
according to the themes of this journal, which are communication, intelligent, and
educational technologies for distance education.
Distance Education Technologies
As we have mentioned before, the purpose of JDET is to publish research
contributions for the development of automatic tools to be used in distance
learning. In the past few decades, computer technologies such as deductive
reasoning, neural networks, and statistical analysis mechanisms can be used to
develop intelligent tutoring or individualized learning tools. Information retrieval
techniques can help the implementation of a precise search engine for seeking
after class references. Network technologies ensure real-time interaction in a
synchronized distance-learning session, and improve the quality of presentation
services. Mobile and wireless communication systems allow distance learning on
PDAs and even on cellular phones. On the other hand, educational technologies
had been used in different levels of schools to improve the efficiency of
instruction delivery and student assessment. Learning models need to be
incorporated with new authoring tools to improve the quality of instructions. We
present a few success examples in this section, according to communication,
intelligent, and educational technologies.
Communication Technologies
Communication and network technologies can be divided into several levels.
According to the ISO standard, network architectures can be divided into seven
layers. However, other new technologies, such as ATM, use a different
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A Survey of Distance Education Challenges and Technologies 15
architecture. From the perspective of communication tools that are used in
distance education, we focus on the network application level, which includes
integrated systems rely on other lower level technology, such as those for realtime media streaming. In addition, the communication technologies we discuss
here are not from the perspective of human interaction, either are they related
to human-computer interactions.
Related to broadband communication technologies, there are a few articles. In
Fernandez et al. (2001), distance-learning applications were tested over an
IPv6/ATM-based broadband facility. The conclusion states that, users must
understand the consequences of QoS differentiation, and the cost they paid.
Another ATM-based conference system (Bai, He, Liao, & Lin, 2000) supports
multicasting and point-to-point communication. The chapter also discusses an
application for distance learning based on this technology. On the other hand, an
agent-based architecture (i.e., mStar) to support the development of real-time
communication is discussed (Parnes, Synnes, & Schefstrom, 2000). In the
article, a bandwidth manager agent determines how bandwidth should be utilized.
The strategy adapted considers the number of users, as well as the number of
media used. In Maly et al. (1997), an interactive learning system supports twoway video, on-the-fly interaction, and application sharing is implemented on a
high speed network. A prototype configuration, based on ATM network, for
courses on-demand was developed at Stanford University (Harris & DiPaolo,
1996). Experiences including system integration, educational effectiveness, and
economics are also discussed. Wang and Su (2000) also proposed a real-time
communication tool to teach speaking skills. A real-time interactive Web-based
teaching system for engineering students was developed in Hong Kong (Chu,
1999). Another real-time interactive virtual classroom tool is presented in
Deshpande and Jenq-Neng (2001). New coding algorithm is used to enhance the
quality of handwritten text video. A set of tools were also developed to record
live classroom sessions. The use of operational user profile and the control of
end-user QoS are suggested in Vouk, Bitzer, and Klevans (1999). The conclusion suggests a range of user-level delays, which is acceptable by most users.
The chapter also recommends a number of facilities for the developers of
distance education systems, to make the systems effective. A low-bandwidth
streaming technology focuses on the application layer QoS is discussed in Fong
and Hui (2001). A hybrid architecture using an exchange server is able to avoid
the conflicting requirements, and to allow efficient point-to-point transfer. From
the above discussions, we realize that real-time media streaming technology,
with the control of quality of services, will be important for interactions in
distance learning.
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16 Shih, Hung, Ma, and Jin
In addition to network-based tools, middleware systems to support distance
education, or to enable the integration of tools are widely found in the literature.
A set of distance-learning tools (Shih, 2001a), including a shared whiteboard and
a chat room tool, are integrated to a distance-learning environment, which
provides a complete platform for distance education. Another distance lecture
supporting system (Chen, 1999) for streaming video clips and dynamically loaded
HTML course content is developed, based on a synchronization framework
known as WSML (Web-based synchronized multimedia lecture). Huang (2000)
also uses Windows media streaming technology to integrate a distance system,
which supports both real-time communication and on-demand-based media
production. A distance-learning system (Duran-de-Jesus, Villacorta-Calvo, &
Izquierdo-Fuente, 2000) for real-time teaching and interactive course is proposed. Parameters for the measurement of QoT (quality of teaching) are also
defined in Duran-de-Jesus et al. (2000). A distance-learning system (Lee, 1997)
based on Java is implemented to facilitate communication, management, and the
evaluation of distance learning. This system is designed to work on a heterogeneous environment to support PCs and workstations. Another Java-based
network educational system (Foster & MacGregor,, 1999) is also developed to
support tele-teaching applications. For communication, a mechanism to control
who to speak in a distributed virtual environment is proposed (Keh, Shih, Deng,
Liao, & Chang, 2001). The control mechanism can be used for multimodal, multichannel, and multi-user communications. A client-server distributed environment (Benetazzo, 2000) to support virtual lab, using commercially standard
components, is discussed. The system is tested by a class of students learning
electrical measurements in different connections and operating conditions.
Another Web-based remote laboratory (Ko, Chen, Jianping, Zhuang, & Chen
Tan, 2001) for the experiments on a coupled tank apparatus was developed at
the National University of Singapore. Video conferencing technique is used to
provide audio and video feedback. A Web-based interactive simulation tool for
electronics was developed in Scotland (Masson, 1999).
In a larger scale, a number of distance projects (Castro, 2001) to improve the
technology of collaboration and communication were discussed. Experiences of
building a virtual community for enriching e-learning experience and humanizing
learning process are discussed in Carver (1999). In addition, Multimedia MicroUniversity (Chang, Hassanein, & Hsieh, 1998) is a project arms to support the
management and operation of distance education of a small academic institution.
A virtual library tools and an intelligent system are implemented to support online
tutoring. Skill requirements to build efficient virtual community are presented.
The experience of using satellite-based digital video, Web technology, and
Internet-based interactions is also discussed in Brackett (1998). Lecture recording and playback systems using video and PowerPoint presentation are presented (Deng & Shih, 2002a; Latchman, Salzmann, Gillet, & Kim, 2001). A suite
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A Survey of Distance Education Challenges and Technologies 17
of Internet multimedia tools support both synchronized and asynchronized
collaboration is presented in Peden, Burleson, and Leonardo (2000). The
SimulNet (Anido et al., 2001b) distance-learning platform includes a few tools,
such as authoring and communication tools. A set of synchronous distance
education tools is also proposed in Pullen and Benson (1999). A system supports
both synchronous and asynchronous mode of collaboration is proposed in Peden
(2000). The system is used in a VLSI chip design course. A system allows video
conferencing, interactive classroom, Web-based instruction, and traditional
lecture is proposed in Siddiqui and Zubairi (2000). Mobile agent technologies
were used in a distributed distance-learning system (Deng, 2002b), which allow
students to have persistent personal data while they are accessing a centralized
distance-learning server from different locations.
In addition to the communication tools used in a virtual community, Virtual
Reality (VR) is a good medium, in distance learning, for making abstract
concepts concrete, for example to touch or to manipulate virtual geodesic domes
and to observe theirs symmetries (Sala, 2002). The difficulty of understanding
scientific concepts is well-researched (Garnett & Treagust, 1999). Zoller (1990)
has affirmed: “Students’ misunderstandings and misconceptions in school
sciences at all levels constitute a major problem of concern to science
educators, scientist-researchers, teachers, and, of course, students” (p.
1054). Virtual reality can also help constructivist learning (Winn, 1993). Virtual
reality modelling language (VRML) can help to create virtual objects in the
cyberspace.
Intelligent Technologies
Artificial intelligence (AI) has been studied since many decades ago. In general,
there are two directions of AI research: computational logic and neural network.
The former has symbolic representation of knowledge. Using deductive reasoning and searching techniques, the former method tries to compute conclusions,
which may represent new knowledge. On the other hand, there is intelligence
which is hard to have a symbolic representation. The use of neural network relies
on network of nodes, which encapsulate the second type of intelligence. Training
is applied to the network, with modification to thresholds among these nodes. The
resulting network is able to recognize the subsequent queries with proper
suggestions. Whether the intelligent technology has a symbolic representation,
it is possible to build autonomic systems, which help or guide students in an online
learning session. Research issues of these systems include intelligent tutoring
(Shih, 1997), individualized learning (Ha, Bae, Sung-Min, & Park, 2000),
behavior analysis, auto-reply to frequently asked questions, and so on. We give
some examples of intelligent technologies in distance education.
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18 Shih, Hung, Ma, and Jin
IMMPS (Shih, 1997) is an integration of a multimedia presentation design system
and a back end intelligent system. The author is able to design rule-based
knowledge for each presentation window, with different layout and multimedia
references. An instructor can use the system to design individualized course
materials. A learning control strategy based on neural network is presented in Si
and Yu-Tsung (2001). The mechanism learns from mistake of user through the
reinforcement signal, and tries to improve the user’s future performance.
Positive reinforcement is also learned by the system. A path analysis technique
(Ha et al., 2000) is used for customized education. The discovery of Web page
association rues is also used to analyze knowledge structure. The information
collected will help the designer to develop a more efficient courseware. Another
system and framework for Web content customization is proposed in Ochi, Yano,
and Wakita (2000). The system supports resource customization, sharing, and
searching. Using personal agents, a virtual classroom environment (Trajkovic,
Davcev, Kimovski, & Petanceska, 2000) serves as a bridge between students
and a virtual professor. An active video control and selection mechanism is
proposed in Kameda, Ishizuka, and Minoh (2000). The mechanism is based on
dynamic object detection, and a human intrinsic time constraint. The implemented system is used in distance-learning courses between UCLA and Kyoto
University. An online assessment mechanism using Web technology is presented
(Chetty, 2000). The system is for students of control engineering, in the practice
of answering several questions, before an experiment is actually carried.
Educational Technologies
Educational theory and technologies has a great impact to the development of
distance-learning systems. A software system will be useless if no one use it.
Relying on educational theories and experiences for professionals, the design of
any distance-learning system should consider its usability as the first step. A few
articles look at distance-learning system from both educational (Jun & Gruenwald,
2001; Schar & Krueger, 2000) and engineering (Shih, 2000) perspectives. A
formal model that evaluates interactivity and motivation of students is proposed
in Jun et al. (2001). The model is tested on several Web-based instruction
courses. And, experiences are discussed. In addition, five major factors for the
development of computer-aided learning were proposed in Schar et al. (2000).
The factors include theories for learning, multimedia didactic, learning technologies, information models in human-computer interaction, and user acceptance.
Criteria of how distance education software systems are developed are presented in Shih (2000). The discussion includes administration, communication,
and assessment tools that should be developed for distance education.
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A Survey of Distance Education Challenges and Technologies 19
In addition to these guidelines, educational and software technologies were used
to build distance education systems. Educational theory such as student-problem
chart is used in the development of an assessment system (Chang, 2002), which
supervise students via automatic generated Web tutorial. The system is able to
incorporate user interactions. Thus, each tutorial generated is based on the
individual behavior of student. On the other hand, to develop better courseware,
a revised influence diagram method is proposed in Shih (2002) for courseware
designs. The diagram helps the designers to construct a more efficient learning
topology for students. A quantitative analysis is given to each course topology
designed. Thus, comparison is made between different course structures.
Moreover, a paradigm supports the development of Web documents is proposed
in Shih, Chang, Tsai, Ma, and Huang (2001b). The paradigm can be extended to
support courseware designs. Metrics of Web documents are also defined.
Summary
We point out challenges of distance education, as well as important research
issues in this article. Experiences in the literature show that, distance education
has a great impact not only to high-level education, but also to industrial training.
A study report and the discussion of a distance-learning center established in
MIT are discussed in Penfield and Larson (1996). A complete report of this study
is available at http://www-evat.mit.edu/report/. The impact of information
technology to high-level education is also discussed in Beckett (1996). Experiences of using multimedia and distance education tools in online teaching and
conventional classrooms are discussed in Latchman, Salzmann, Gillet, and
Bouzekri (1999). The analysis of distance-learning issues in U.S., UK, Canada,
Australia, and New Zealand is reported in Stein and Harman (2000). The
“learning-by-doing” (Anido, Llamas, & Fernandez, 2001a) paradigm for distance
leaning in traditional university and life long training was also proposed. The
access of real equipments using Internet and the use of Java-based simulation
tools are compared, with several analytical parameters presented to the readers.
But, what are the basic requirements to make a successful system? Two factors
make instructors and students to use online distance-learning tools, such as
video-based lectures are, firstly, the production process must be easy, and
secondly, there must be advantages to overcome in-class teaching. The paper
(Anderson et al., 2000) points out these reasons. A comparison of two sections
of students enrolled in technical writing class, one in a conventional class and the
other in a Web-based environment, is presented in Mehlenbacher, Miller,
Covington, and Larsen (2000). Although no significant difference of student
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20 Shih, Hung, Ma, and Jin
performance is found, there are small differences of learning style and attitudes.
Moreover, a complete report known as “The No Significant Difference Phenomenon” (http://teleeducation.nb.ca/nosignificantdifference/) collects a set of quotations back to 1928. The report surveys 355 references.
The above reports and experiences show that, distance learning seems to be
promising. But, what will be the future of distance education? Will e-learning be
another “dotcom” issue? That is, will the impact of e-learning decreases or even
vanishes? Perhaps we do not have an answer today. However, from the
development of new technologies, we see a few issues of future distance
education:
•
Bring outdoors to indoors: Virtual reality-based communication and
situated learning use augmented panorama and real-time communication
technologies in a distance-learning CAVE. Students can feel and experience with outdoor facilities inside the classroom.
•
Bring indoors to outdoors: Wireless communication for encyclopedia
and E-books will be available. Outdoor students can participate to a lecture,
use online references, or read class notes.
•
Edutainment: Education will be easier and more interesting. It is possible
to use game technologies in education, to attract students and to increase
their motivation.
•
E-commerce: E-learning will be a commercial activity. Knowledge is for
sale in the future.
•
E-inequality: Each virtual university has its own uniqueness and focus.
But, it is possible that a virtual university dominates a particular area of
distance-learning courses.
•
E-problem: It will be a less people-centric natural of learning. With a large
number of project-oriented courseware available, an individual student will
choose a focus for training. That is, students will adapt to course sequences
more as compared to course sequences are designed for students.
The expected great success of distance learning and the virtual university
paradise is still not coming. Even if technology can support such an operation,
there still remains some sociological and methodological problems. It is questionable, whether it is political, or technical, for the society to approve virtual
university degrees. However, distance learning is now very active in missionbased instruction, and in community-based lifelong education. We hope the
academia, the government, the engineers, and the society can work tightly
toward the great success of distance education.
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permission of Idea Group Inc. is prohibited.
A Survey of Distance Education Challenges and Technologies 21
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Endnotes
1
Except the first author, the co-authors are sorted by last names.
2
Answers for each question are cited by the last name of authors in between
brackets, to distinguish the answers from paper citations.
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