1.
Introduction: The diffusion
of courseware in Higher Education
Likely outcomes
of e-learning innovations in higher education using information and
communication technologies (ICTs) have been hotly debated, with
utopian excitement about the new media matched by critical concerns
over their appropriateness in many contexts (Dutton and Loader 2002).
With notable exceptions (Hara and Kling 2000), this debate has been
illustrated more by anecdotal evidence than empirical research on the
actual role of ICTs in higher education.
This study
seeks to develop an empirically-anchored perspective on the
implications of e-learning through a case study, informed by work on
the social shaping of technology (SST) that highlights organizational,
cultural, economic and other factors influencing the process of
technological change and innovation (Williams and Edge 1996; Kling
2000). It provides evidence centred on an in-depth analysis of one
e-learning innovation, in order to surface patterns and themes of
potential relevance to a wider range of e-learning initiatives. The
innovation we focused on was an institution-wide virtual learning
environment (VLE) designed to support the management and operation of
most aspects of an online course: the distribution of multimedia
material (such as readings, lecture notes, assignments and images);
student-teacher and group discussions; exam and grade administration;
and other teaching and administrative tasks.
We chose to
study a VLE because such course management ‘courseware’ systems appear
to be among the most rapidly diffusing e-learning technologies across
the world.
The adoption of this kind of environment has become a symbol of
innovation, with many higher-education institutions not wishing to be
left without their own system. A VLE can also create incentives to
invest further in electronic content, create links to other ICT
applications within the university, such as wireless networks and
services, and generally enable institutional innovations in learning
and education.
Our study seeks
to answer questions such as:
§
What is the actual experience of
implementing VLEs?
§
Which main social, cultural,
psychological, economic, technical and other factors facilitate or
constrain the uses to which the VLE is put?
§
To what degree does a VLE complement or
replace traditional learning environments?
§
What kinds of VLE-based teaching and
learning approaches are most effective?
§
Which VLE capabilities lead to
difficulties or are underused?
§
How easily can a VLE be tailored to the
needs of particular contexts, teachers, students, administrators, etc?
§
Who in educational institutions are
likely to be the winners and losers from the introduction of a VLE?
§
What kinds of policies and resources are
needed to make a VLE effective?
§
What are the implications of the way a
VLE can be used to reconfigure how faculty, administrators, students
and others in an educational institution gain access to people,
services, information and technologies (Dutton forthcoming).
The following
sections describe our methodology, the patterns of eClass adoption and
use we identified, and our findings on the main factors shaping these
outcomes.
2.
Methodological approach
2.1
The analytical framework: social
shaping of technology
Theoretical
approaches from the social shaping of technology (SST) were employed
to understand the responses of technical staff, administrators,
instructors, students and other actors towards the adoption and use of
the VLE at the university studied. This framework was chosen because
it encompasses a broad perspective that enabled us to move beyond
narrow speculation based on the technical functions and capabilities
of a VLE to focus on how people design, deploy and appropriate these
technologies in actual social settings.
At an
institutional level, SST highlights the implications for innovation of
the way a university or other educational establishment is, to some
extent, organized to support and maintain existing standards and
practices. This helps to focus attention on the manner in which an
institution resists, assimilates, subverts or otherwise appropriates
what is being proposed or imposed when a technical innovations
threatens to disrupt the established ways of doing things. Thus, the
values and assumptions of all relevant institutional actors need to be
understood, including both supporters and critics of e-learning, as
does the nature of the technological innovation if researchers are to
discern the practical implications of VLE courseware.
In addition, an
SST perspective guides researchers to investigate the ways in which
specific users shape technological development and innovation. In
Bijker’s (1995) words, this should aim to include a consideration of
the different ‘relevant social groups’ involved in interpreting a
technology, including the determination of whether a technology
‘works’. For example, a social-shaping perspective sensitizes research
to the role of teachers at a university, since instructors are among
the most critical decision makers on the adoption and use of
technology in classes and for the way students organise their work
with computers (Layton 1994). Decisions regarding computer use in
classes are also affected by instructors’ teaching styles, flexibility
in adapting to new teaching situations, attitudes towards computers,
length of experience using computers in their own lessons and their
self-perception as computer users (Levin and Arafeh 2002). Other
relevant social groups include the specialist developers who implement
systems within organizations; students as users; and administrators
and senior managers, who often regulate and sometimes mandate the use
of technology. Policy choices by those who run school or departmental
systems can result in different units having different levels of
access to the Internet, dissimilar requirements for student technology
literacy skills and different limitations on student Internet access
(Levin and Arafeh 2002).
SST also
reveals how conceptions and responses across all this range of policy
makers, administrators, developers, instructors and students can
support or frustrate technologically-enabled change. From this
perspective, Dutton and Loader (2002) argued that educational
technologies were underpinning the emergence of a ‘digital academe’ –
a change in the institutions of higher education that is supported by
the increasing application and use of ICTs across all higher education
management, administration and operational processes.
The main
premise of this view is that ICTs are becoming increasingly central
not only in terms of how higher educational institutions accomplish
their tasks, such as promoting their institutions on the Web, but also
in relation to the nature of the products and services they provide,
for instance in considering new initiatives in distance education and
e-learning. This directs attention to discerning just how far VLE
technologies are going, and could go in the future, towards being more
than ‘electronic white boards’. One possibility is that they could
alter the whole manner in which faculty, administrators and students
will gain access to one another, to information, services and
technologies that support these processes and their outcomes. In going
further along this route, VLE courseware could undermine or support
the role of traditional gatekeepers in education, such as faculty
instructors, at the same time as fostering new gatekeepers, such as
the technology administrators and technical support staff that control
access to digital library resources and make decisions about
technology upgrades.
This SSE
background convinced us that we use both a comprehensive survey
questionnaire and ‘embedded case studies’ to undertake more detailed
interviews that drill down to get a richer feel for the actual issues
confronting everyday use of the system. This provided a balance
between institutional and user perspectives. Given the significance of
instructors to any innovations in e-learning, we used our research
resources to focus on this group, while using knowledge from SST
research to take account of the critical role played by others in the
innovation process in order to detect more general patterns and
issues.
2.2
The case study: A university-wide
course management system
We examined the
diffusion and use of a proprietary, commercially-marketed VLE at a
private US university. To protect the confidentiality of our
respondents, individuals involved are kept anonymous and fictitious
names are used for the university (‘North East University’ (NEU)) and
VLE (‘eClass’). We chose NEU because eClass had appeared to diffuse
rapidly within this university. The principal organizational actor at
NEU was ‘the Centre’, which was responsible for the use of ICTs in
teaching and research. As the study progressed, we discovered the
diffusion and impacts of eClass were more limited than anticipated,
which shifted the focus of our study on the social and institutional
factors constraining this e-learning innovation as well as the likely
impacts for the most innovative adopters.
2.3
Research approaches used
We employed a
variety of empirical approaches to gain a systematic understanding of
how eClass diffused, and with what effect on learning and education.
For instance, we undertook a detailed analysis of the electronic
records and reports on everyday use of eClass. These had to be
restructured and inspected to develop a reliable count of actual
adopters and users. The electronic facilities of eClass enabled us to
email all registered current and former instructors, asking them to
complete (in about 15 minutes) a Web-based questionnaire, asking for
information such as participants’ use of eClass and their overall
usage of personal computers and the Internet. Two reminders were sent,
yielding a response rate matching half of the estimated population. In
addition, we conducted in-depth embedded case studies (through
interviews of about an hour each). These involved 20 instructors who
were among the most intensive or creative eClass users.
These surveys
and interviews were complemented by interviews with key staff of the
Centre. We also attended training sessions and eClass courses,
enabling more participant-observation of these events. These sessions
created many opportunities to speak informally with eClass technical
specialists, department coordinators and users. Finally, we reviewed
the content of selected eClass course sites, focusing on sites of our
embedded case studies.
Survey
responses from 225 individuals were gathered from January to March
2002, representing about a 50% response rate, based on our estimate of
the number of actual users. Of these, 191 were completed fully and the
rest were typically from individuals ‘registered’ for eClass but not
actually using the VLE.
3.
The multi-layered diffusion
of eclass
3.1
Booming eClass Registrations
The Centre
introduced a trial version of eClass at NEU in the Spring 1999
semester. Workshops and training sessions for faculty and instructors
plus general word-of-mouth recommendations led to rapid growth over
the next two years, from six at the start to over 1000 by Spring 2001
(Figure 1).
Despite
continuing growth in demand, in Spring 2001 the introduction of new
courses was stopped because eClass had reached the limit of the pilot
version’s capacity. The Centre therefore upgraded in Summer 2001 to a
newer version that could support many more courses. When the Centre
began migrating older courses to the new system, implementation
problems arose that caused many instructors to abandon their use of
eClass because they were no longer able to use it effectively.
The primary
value attributed to eClass was its ease of use in posting and
distributing documents, assignments and announcements to students
(Table 3). An important secondary use was for communication, such as
emailing students. E-Class enabled email lists to be generated
automatically as students registered for their courses. But most
respondents place most value on distributing information rather than
in online discussions, group facilitation, virtual chat and other more
interactive forms of communication.
Table 3:
Perceived value of eClass features
|
Rating Features of
eClass |
Very Useful + Useful
(%) |
|
Posting course documents |
87 |
|
Posting assignments |
78 |
|
Posting announcements |
72 |
|
Communication via email |
58 |
|
Posting external links |
47 |
|
Posting student
information |
43 |
|
Communication via
discussion board |
27 |
|
Viewing usage statistics |
27 |
|
Using gradebook |
25 |
|
Using course calendar |
23 |
|
Creating and facilitating
groups |
22 |
|
Tracking document
downloads |
19 |
|
Using address book |
17 |
|
Administering
exams/quizzes |
12 |
|
Surveying students |
12 |
|
Using eClass resource
Centre |
9 |
|
Communication via virtual
chat |
8 |
5.
Instructors motivations for
using a VLE
Respondents saw
improvements in pedagogical practices (such as increasing
communication among students or helping students learn about online
media) and in work efficiency (such as in saving time, as among the
main motivations for using eClass, as shown in Table 4). 74% felt ease
of use is a major motivator, which also helps to save time and
investment in learning to use the software. Other analyses showed that
those who rated “ease of use” as an important motivation were more
likely to have used eClass in more courses, and those citing
pedagogical reasons were more likely to spend more time per week with
eClass.
Table 4:
Motivations for using eClass
|
Motivations |
Very Important + Important
(%) |
|
Increase communication
among students |
77 |
|
Ease of use |
74 |
|
Save time |
68 |
|
Help students learn to use
online resources |
61 |
|
Learn more about online
course development |
48 |
|
Keep up with technical
change |
47 |
|
Respond to students’
request or interest |
45 |
|
Comply with school or
departmental policy |
19 |
Factor analysis
among the motivations identified convenience and effectiveness as two
relatively independent defining groups of characteristics affecting
attitudes towards eClass (Table 5).
Table 5:
Factor analysis of attitudes to eClass
|
Variables |
Factor Loadings |
|
1 |
2 |
|
Factor 1. Convenience of
eClass |
|
|
|
Students like to use
eClass |
.803 |
|
|
eClass is easy for
students to use |
.882 |
|
|
eClass is easy for me to
use |
.680 |
|
|
eClass is convenient for
students to access |
.885 |
|
|
Factor 2. Instructional
Effectiveness |
|
|
|
I am teaching in new ways
since using eClass |
|
.721 |
|
Students’ performance is
enhanced when using eClass |
|
.710 |
|
I interact more with
students when using eClass |
|
.737 |
|
Some students participate
on eClass who do not participate in class discussions |
|
.771 |
Table 6:
Change in time allocation linked to eClass
|
Time Spent |
Increased (%) |
|
Being online |
54 |
|
Communicating with
students |
43 |
|
Sending and receiving
email |
42 |
|
Preparing for classes |
38 |
|
Working from home |
36 |
|
Working in your office |
22 |
|
Working with teaching
assistants |
18 |
|
Working with course
builders |
16 |
|
Evaluating students’ work |
14 |
|
Working in a computer lab |
14 |
|
Working one-on-one with
students |
12 |
|
Preparing library reserve
materials |
10 |
|
Reading professional
journals |
9 |
|
Doing library research
|
7 |
6.
Impacts of Use
6.1
Reallocation of Time and Place
The most widely
perceived changes tied to eClass were the respondents’ use of time and
the geography of teaching and learning. The activities that had
increased most by the use of eClass were being online, communicating
with students and emailing, followed by increases in the time spent
preparing for class and working from home and at the office (Table 6).
These also indicate more time at the computer, or what might be called
a growth in more computer-centric work patterns.
6.2
Correlation with the Use of Other ICT
Media
Access to a
wide variety of computer and Internet resources are critical enabling
factors in e-learning. We found a clear positive correlation between
instructors’ use of eClass and other computer-based instructional
technologies, such as email, presentation software and the
Internet/Web (Table 7). For example, almost all eClass users had a
computer at home, 46% had broadband Internet access at home and 76%
had a portable computer. Except for white boards, more traditional
non-computer-based media had lower rates of use among the users of
this VLE.