4 Impact on institutional development
This section reports on the findings relating to the impact of
networked learning on institutional development, including strategies
and structures.
4.1 Engagement
with networked learning and its development
In interview the participants were asked to consider the extent
to which their institution was engaged in large-scale networked
learning, who they regarded as the initiators, and what they saw
as the main drivers behind this development. They were also invited
to talk generally about the early development of networked learning.
The questionnaire responses provided information concerning the
proportion of students and schools, within the institution, who
were using a VLE. In the context of this report the term ‘school’ is
used as a generic term to represent all institutional structures
including department and/or faculty structures.
When the data from interviews and questionnaires is combined a ‘snapshot’ of
the institution emerges, which is then used as a representation
of that institution.
In defining whether an institution was engaged in large-scale networked
learning the following criteria were adopted:
• the institution should have a VLE,
•
the VLE should be used by a significant percentage of students
and across a wide range of schools (ideally > 50% usage under
one or more of these criterion).
The presence of a managed learning environment (MLE) (JISC, MLE
Briefing Paper 8, 2001) was not regarded as essential. It was also
decided that the views of those interviewed about the extent of
networked learning within the institution, should be considered;
the views of the majority of the respondents within an institution
was taken as a representation of that institution. Figure 4-1 shows
evidence that fourteen of the institutions studied were involved
in large-scale networked learning. It is suggested that H1, H3,
F3 and F5 and F10 may not yet be involved in large-scale networked
learning because of the low proportion of use by students and/or
across schools and also because those interviewed felt that their
institution was not involved in large-scale networked learning.
One institution, F1, was identified as not yet engaged in large-scale
networked learning; it had developed its own VLE, was not currently
developing an MLE and had a very low take-up (4%) of networked
learning by schools.
Those who stated that their institution was involved in large-scale
networked learning offered a number of reasons for this. The most
common reason was that the institution had adopted an institution
wide VLE. Another reason offered was that technology was used to
support learning and that it allowed for collaboration between
learners and tutors. Finally, one person suggested that it was
large-scale because they were involved with the development of
an online college that delivered accredited learning at a distance
jointly with other institutions.
The main reason for those within an institution identifying it
as not being engaged with large-scale networked learning was that
take-up across the institution was patchy and this is clearly shown
in Figure 4-1. Where those interviewed saw the development of large-scale
networked learning as partial, it is clear from the proportion
of students and/or school use that further development was needed
to ensure take up across the whole institution. A second reason
was that the technology was used mainly to provide resources and
there was a lack of collaborative communication.
For reasons of anonymity, we have chosen not to identify which
VLE was used by each institution in Figure 4-1. However, 17 of
the participating institutions use a commercially available VLE
with only three FE institutions developing their own in-house solutions.
There were six different commercial VLE systems in use across the
case study institutions: The VLE (5 HE; 2 FE); Web-CT (4HE; 1 FE);
Learnwise (2 FE); Fretwell Dowling (1 FE), TopClass (1 FE) and
Lotus Domino (1 HE).
| CS |
VLE |
MLE |
% use by students |
% use by departments |
LSNL from interviews |
Large-scale? |
| H1 |
Commercial |
Developing |
33 |
19 |
Partly |
Partly |
| H2 |
Commercial |
Developing |
No data |
100 |
Yes/partly |
Yes |
| H3 |
Commercial |
Developing |
25 |
19 |
Yes/partly |
Partly |
| H4 |
Commercial |
Well developed |
15 |
100 |
Yes/partly |
Yes |
| H5 |
Commercial |
Developing |
75 |
25 |
Yes/partly |
Yes |
| H6 |
Commercial |
Developing |
20 |
63 |
Partial |
Yes |
| H7 |
Commercial |
Developed |
78 |
100 |
Yes |
Yes |
| H8 |
Commercial |
Developing |
100 |
100 |
Partial |
Yes |
| H9 |
Commercial |
Developing |
70 |
30 |
Partial |
Yes |
| H10 |
Commercial |
Developing |
75 |
62 |
Yes |
Yes |
| F1 |
In-house |
Not developed |
40 |
4 |
No |
No |
| F2 |
Commercial |
Thinking about it |
20 |
75 |
Partly |
Yes |
| F3 |
Commercial |
Ready to roll |
2 |
33 |
Yes/Partly |
Partly |
| F4 |
Commercial |
Developing |
20 |
100 |
Partly |
Yes |
| F5 |
Commercial |
Developing |
11 |
100 |
Yes/Partly |
Partly |
| F6 |
Commercial |
Developing |
No data |
100 |
Yes/Partly |
Yes |
| F7 |
In-house |
Developed |
26 |
50 |
Partial |
Yes |
| F8 |
Commercial |
Developing |
23 |
75 |
Partial |
Yes |
| F9 |
Commercial |
Not developed |
20 |
100 |
Partial |
Yes |
| F10 |
In-house |
Developing |
No data |
33 |
Partial |
Partly |
Figure 4-1: The extent to which the institutions can be considered
to be engaged in large-scale networked learning
Figure 4-2, Figure 4-3 and Figure 4-4 below show how the respondents
thought networked learning had been introduced into their institution.
When respondents discussed the introduction of networked learning
it was clear that in some institutions the introduction had been
driven by senior management (top-down), whereas in others initial
developments came from enthusiastic individuals (bottom-up). These
differences were mirrored to a great extent in the responses to
one of the questions in the questionnaire, which asked how networked
learning was introduced into the institution.
There are some minor differences in terms of the categories used,
and these can be seen Figure 4-2 to Figure 4-4 below. The interview
data did not always distinguish between one and a small number
of faculties and the questionnaire data does not distinguish between
centrally driven by a unit or centrally driven by senior management.
Where there are discrepancies between interview and questionnaire
data, for example F4 and H3 in Figure 4-4, these institutions are
better understood by looking at what was said in the interviews.
In F4, all respondents agreed that one particular department initiated
networked learning but also highlighted that the most senior members
of staff, the College Principal and Vice-Principal, were part of
that department. In H3, although in interviews respondents talked
about individual initiators (interview data), the later central
decision to introduce the VLE was generally regarded as the point
at which networked learning was introduced (questionnaire data).
In terms of H7, it is worth noting that the interview data stressed
organic development and thus possibly supported bottom-up development.
However, part of this bottom-up development related to a specific
set of courses for a niche market and when these courses were developed
the institution was not using an institution wide VLE. An institution
wide VLE has now been adopted and, as with H3, this could be interpreted
as supporting a top-down approach. Figure 4-2 to Figure 4-4 above
suggest that a top-down introduction was more common in FE institutions
and bottom-up approach was more common in HE institutions. However,
the difference is not large and is shown graphically in Figure 4-5: Initiators of networked learning by type of institution, below.
| How was networked learning introduced into your institution? |
CS |
Responses (n) |
By a small number of individuals |
By one school |
By a small number of schools |
Centrally initiated |
Other intro |
Majority view |
| H8 |
5 |
2 |
1 |
|
1 |
1 |
Bottom-up |
| F1 |
6 |
|
|
1 |
6 |
|
Top-down |
| F2 |
5 |
2 |
5 |
|
|
|
Bottom-up |
| F3 |
8 |
1 |
|
2 |
5 |
3 |
Top-down |
| F4 |
5 |
4 |
1 |
|
1 |
1 |
Bottom-up |
| F5 |
8 |
2 |
|
1 |
8 |
|
Top-down |
| F6 |
6 |
3 |
|
2 |
2 |
|
Bottom-up |
| F7 |
3 |
1 |
|
1 |
2 |
|
Probably top-down |
| F8 |
7 |
1 |
|
|
7 |
|
Top-down |
| F9 |
6 |
3 |
1 |
1 |
3 |
|
Probably bottom-up |
| F10 |
5 |
4 |
1 |
2 |
1 |
|
Bottom-up |
| H1 |
8 |
4 |
1 |
1 |
3 |
4 |
Bottom-up |
| H2 |
8 |
5 |
4 |
1 |
1 |
1 |
Bottom-up |
| H3 |
7 |
2 |
1 |
3 |
5 |
1 |
Top-down |
| H4 |
7 |
4 |
2 |
|
2 |
|
Bottom-up |
| H5 |
5 |
4 |
|
1 |
1 |
|
Bottom-up |
| H6 |
4 |
4 |
|
2 |
2 |
1 |
Bottom-up |
| H7 |
5 |
1 |
|
|
4 |
|
Top-down |
| H9 |
5 |
1 |
1 |
2 |
5 |
|
Top-down |
| H10 |
5 |
1 |
2 |
1 |
4 |
|
Top-down |
Figure 4-2: Initiators of networked learning (questionnaire responses)
| CS |
No of respondents |
Top-down |
Bottom-up |
Majority view |
| F1 |
4 |
2 |
0 |
Top-down |
| F2 |
6 |
1 |
5 |
Bottom-up |
| F3 |
9 |
5 |
2 |
Top-down |
| F4 |
7 |
5 |
5 |
Both |
| F5 |
8 |
3 |
1 |
Top-down |
| F6 |
6 |
3 |
4 |
Mainly bottom-up |
| F7 |
6 |
2 |
3 |
Both |
| F8 |
7 |
6 |
1 |
Top-down |
| F9 |
5 |
3 |
1 |
Top-down |
| F10 |
5 |
1 |
3 |
Bottom-up |
| H1 |
9 |
1 |
8 |
Bottom-up |
| H2 |
8 |
1 |
3 |
Bottom-up |
| H3 |
8 |
1 |
7 |
Bottom-up |
| H4 |
6 |
0 |
6 |
Bottom-up |
| H5 |
5 |
0 |
5 |
Bottom-up |
| H6 |
6 |
0 |
3 |
Bottom-up |
| H7 |
5 |
1 |
3 |
Bottom-up |
| H8 |
6 |
2 |
3 |
Bottom-up |
| H9 |
6 |
0 |
3 |
Top-down |
| H10 |
5 |
0 |
4 |
Top-down |
Figure 4-3: Initiators of networked learning (Interview responses)
| CS |
Responses (n) |
Majority view(questionnaires) |
Majority view(interviews) |
| F1 |
6 |
Top-down |
Top-down |
| F2 |
5 |
Bottom-up |
Bottom-up |
| F3 |
8 |
Top-down |
Top-down |
| F4 |
5 |
Bottom-up |
Both |
| F5 |
8 |
Top-down |
Top-down |
| F6 |
6 |
Bottom-up |
Mainly bottom-up |
| F7 |
3 |
Probably top-down |
Both |
| F8 |
7 |
Top-down |
Top-down |
| F9 |
6 |
Probably bottom-up |
Top-down |
| F10 |
5 |
Bottom-up |
Bottom-up |
| H1 |
8 |
Bottom-up |
Bottom-up |
| H2 |
8 |
Bottom-up |
Bottom-up |
| H3 |
7 |
Top-down |
Bottom-up |
| H4 |
7 |
Bottom-up |
Bottom-up |
| H5 |
5 |
Bottom-up |
Bottom-up |
| H6 |
4 |
Bottom-up |
Bottom-up |
| H7 |
5 |
Top-down |
Bottom-up |
| H8 |
5 |
Bottom-up |
Bottom-up |
| H9 |
5 |
Top-down |
Top-down |
| H10 |
5 |
Top-down |
Top-down |
Figure 4-4: Initiators of networked learning combined views
(questionnaire and interview)

Figure 4-5: Initiators of networked learning by type of institution
The interviews indicated a range of drivers for the development
of networked learning. The drivers may be regarded as slightly
different from the initiators of networked learning since they
might refer to initiators or to later motivators. The main drivers
most often mentioned in interview are listed in Figure 4-6 below.
As with the initiators, the drivers most frequently mentioned by
respondents in FE institutions were senior and central management.
However many respondents in HE institutions also mentioned these
drivers suggesting that, even if central/senior management had
not initiated the move to networked learning, they were important
in moving it forward. Differences between FE and HE emerged in
that student numbers and market pressures were seen as drivers
in many HE institutions, but were not mentioned by FE institutions;
and funding was frequently referred to by FE colleagues but not
by those in HE. The role of individual schools in promoting development
only surfaced in relation to HE institutions, but this is probably
due to the larger size and more devolved nature of the HE institutions.
| CS |
Main drivers identified |
| F1 |
Central and senior management. |
| F2 |
Particular members of staff and the availability of funding. |
| F3 |
Central and senior management, government initiatives and
funding (five people also referred to the ILT strategy, which
was instrumental in acquiring external funding). |
| F4 |
Senior management and external forces in the form of market
opportunities and funding. |
| F5 |
Senior management and the availability of funding. |
| F6 |
Director of IT/ILT coordinated tech with learning, project
funding. |
| F7 |
Initial collaboration with council + UK online; Ofsted
inspection. |
| F8 |
Senior management, Funding Council. |
| F9 |
Particular members of staff, Senior management. |
| F10 |
Particular members of staff, Funding from European source;
Senior Management. |
| H1 |
Market pressures and student numbers. |
| H2 |
The Business School and key figures in senior positions. |
| H3 |
Student numbers and pressure/expectations and the central
decisions made by the university. |
| H4 |
Student numbers and increased revenue. |
| H5 |
Specific individuals (and departments) and student expectations. |
| H6 |
Particular members of staff, Central Unit. |
| H7 |
Individual school. |
| H8 |
Individual school, but main adoption driven by central
unit. |
| H9 |
Central unit then adopted by Senior Management. |
| H10 |
Individual school, project funding but early involvement
of Senior Management. |
Figure 4-6: Main drivers for development of networked learning
based on interview data
|