Learning Environment Architecture Development Project
Summary Report
Purpose of LEAD Project
The purpose of the Learning Environment Architecture Development Project
was to:
- Determine the UCD campus needs with regard to instructional
technology.
- Conduct a situation inventory on and off campus to identify
technologies
that are in use, or might be useful for teaching and learning and
evaluate
these technologies.
- Through consultation with faculty, staff and students, through
pilot testing and prototyping, and through work with national
efforts such as the National Learning Infrastructure Initiative
and the Instructional Management System, create a comprehensive
definition of the tools, architecture and infrastructure for a
learning environment that will match the needs and unique
culture of the University of California, Davis campus.
Needs Assessment
A series of surveys, interviews, small group discussions and focus groups
were carried out from 10/98 through 12/99 to collect information about
campus needs with regard to instructional technology. The needs were
clustered and prioritized based on the results of the LEAD Think Tank,
11/99, and a series of focus groups and meetings held 11/99-2/00. The
needs which have been identified with regard to teaching and learning
are:
Manage complexity: if possible, hide complexity without reducing
functionality; if not, minimize it with the right functionality
trade-offs.
- Help us do more re-usable work
- Make familiar tools useful for a wide range of tasks, to
reduce the need to learn new technologies.
- Select/develop tools which allow the re-use of work (through
import/export utilities, or standard protocols which maximize
compatibility between tools).
- For common tasks, provide a range of tools to choose from,
from introductory (with limited features, but high ease of
use) to advanced (more complicated to use, but more feature-rich).
- Make the administrivia trivial to do.
- Un-bury usmake it easier to manage the information flow
(including e-mail).
- Optimize flexibility.
Help us manage dissemination of and access to information.
- Help faculty and students easily publish and distribute
class-related materials.
- Make it easier and cheaper to distribute, collect and
manage class materials.
- Help us control access to our intellectual property,
allowing us to share access with a defined community
of scholars.
Help us communicate and collaborate.
- Help connect faculty to their students.
- Help connect students to each other.
- Help us share work that is re-usable.
- Create an environment which provides communication
and participation options for more reticent students.
Design principles and institutional view Because the
following needs are ubiquitous or based in legal/policy requirements,
all services and systems should be responsive to them:
- Support the ability to work from anywhere, at anytime,
at our convenience.
- Provide for secure and verified identity to document
the source of messages and approval actions.
- Protect privacy.
- Protect intellectual property rights.
- Support all platforms.
- Comply with ADA requirements.
Responsive Technologies
In general the LEAD team has identified and evaluated the following
classes of technologies which can be responsive to the identified
needs:
- Portals
- Course Management Software
- Databases
- Web Server/Middleware/Database
Integration
- Specialized databases and repositories
(e.g., Image databases)
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- Authentication, Authorization & Security
- Faculty-Friendly Middleware
- Meta-data and search functions
- Common file
space
- Mail clients (with management utilities and middleware)
- Commercial presentation software (with utility
middleware)
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Table 1 lists and describes in more detail the
needs identified above, provides the information source (how was the need
identified), lists classes of technology that the LEAD team believes
could be responsive to the needs, as well as the alternatives available
in each technology class.
With the campus needs and potentially responsive technologies identified,
the next steps are to evaluate which technologies and services should be
pursued, and how much in the way of resources should be invested in
them.
The range of options appears to be:
- Do nothing (the technology isn't responsive to any need).
- Research and monitor the technology (if it is an experimental
technology).
- Prototype the technology (if it is an emerging technology).
- Pilot the technology (if the need is great enough, and it
seems like the technology is mature enough to begin deployment).
- Bring the technology into limited production (once the bugs
have been worked out through pilots, uncover the implementation
"bugs").
- Bring the technology into full production.
On what basis should selections be made among these options for each of
the responsive technologies given above? After that choice is made, who
implements the option, and on what scale (department-wide, division-wide,
campus-wide, system-wide)?
Decision-Making Rubric
In order to deploy technology successfully, decisions about technology
implementations should take into account the following three parameters:
- Criticality of Needs: How critical is the
campus need which the technology meets?
- Technology Readiness: What is the relative
"readiness" of the technology to meet the need?
- What is the willingness to adopt the use of the
technology?
Criticality of Needs
Criticality is a measure of how important the need is to the campus as a
whole. Some examples of the way in which relative criticality could be
assessed are based on the extent to which the need is:
- affecting the campus' ability to carry out its central
missions (e.g., over-enrollment of large general education
classes and constraints on classroom facilities), and
evidence that the need/problem will persist and worsen
(Tidal Wave II);
- shared by all the relevant populationsfaculty, staff,
students (e.g., common behavior and needs as mobile workers);
- important enough that several departments are already
individually investing time and resources in meeting it, or
asking for campus resources to address the problem (e.g.,
multiple requests for IUC funding for image databases);
- arising out of increasing expectations that are formed
in the mass market (e.g., student expectations about
"e-commerce" capabilities that the campus should support,
based on what is commonly possible in the marketability
to pay registration or housing fees);
- associated with a strategic campus initiative;
- confirmed by the willingness of a specific campus
unit or division to sponsor a project to address
the need, through the use of technology.
The potential ranking of the need is along a continuum, from "nice to
have," to "have to have to carry out essential campus activities." In
addition, needs have a vector are they increasing, stable, or
decreasing?
The experts in needs are the users themselves, and the bodies which
represent them, including the Academic Computing Coordinating Council and
the Administrative Computing Coordinating Council.
The LEAD team sorted the needs in descending order by priority or
"criticality" based on AC4 review, the results of the surveys and
interviews, the results of the LEAD Think Tank, and the responses of a
final focus group composed of faculty, staff, and students, as follows:
- Manage complexity. This was identified as the
most critical need. Criticality is in the upper quadrant
(very high) and increasing.
- Help us manage dissemination of and access to
information. While not as critical as managing
complexity, this need was moderately high, and also
increasing.
- Help us communicate and collaborate. This need, while
increasing, is still in the "nice to have" quadrant.
- Design principles and institutional view.
This
is a special class in needs. Individual faculty, students
and staff are not likely to identify this type of need
(i.e., conformance with ADA requirements, protecting
intellectual property rights) as critical. However,
because of legal or regulatory requirements, the
institution itself often has a responsibility
to be responsive to these needs.
Technology Readiness
Relative "technology readiness" is, in the context of an identified
need, the appropriateness of the technology to that need, and
whether:
- At least one commercial product exists.
- Stable, accepted market standards exist.
- The technology is accepted and used widely at
comparable institutions of higher education
(adoption rate is high).
- A single, strong offering dominates the market,
or multiple offerings are available in the market.
- Implementation feasibility is high.
- Technology is scaleable, replicable, extensible.
- The technology can leverage existing infrastructure and investment.
- The technology can be leveraged to support other functions.
The four major classifications for responsive technologies and the
characteristics of each are:
Experimental -- No commercial products exist (or are in beta form
only); market standards aren't even under development ; the technology is
not in wide use; implementation feasibility is low because of complexity,
bugs, or poor user interface; or the technology has not been demonstrated
to be scaleable, replicable, or extensible.
Emerging -- A number of early commercial products (with limited
features) may be offered commercially; market standards are under
development but still volatile; the technology is not in wide use by
comparable institutions; implementation feasibility continues to be low;
or the technology has not been demonstrated to be scaleable, replicable,
or extensible.
Maturing -- There may be several commercial products available;
market standards are becoming more stable, although there may be two
major standards choices competing in the market; implementation is more
feasible because software bugs have been eliminated in the commercial
products; user interfaces are more acceptable and more features are
supported; a number of early adopter campuses have implemented use of the
technology; the technology appears to be scaleable, replicable and
extensible.
Mature -- There are a number of commercial offerings; standards
are stable and have been formally accepted by standards body (IEEE); the
technology is accepted and used widely at comparable institutions of
higher education; implementation feasibility is high; technology is
scaleable, replicable, and extensible; technology can leverage existing
infrastructure and investment.
Willingness to adopt
The third parameter used in making recommendations was the extent to
which the campus is willing to adopt a technology, based on
risk-aversion, competing campus priorities, and the general culture of
innovation on a campus. A standard technology adoption curve (developed
by Rodgers) is characterized as follows:
Innovators -- 7.5% of the population is willing to innovate in
their use of technology, even to the extent of developing it (since the
market typically doesn't have any offerings at this point in the
development cycle). This population has a high tolerance for risk, and
for a steep learning/implementation curve, and may be interested in
technology in general.
Early adopters -- 13.5% of the population is willing to adopt a
relatively new technology in advance of their colleagues. Again, because
the technology is somewhat immature, members of this population
experience a steep learning/implementation curve.
Early majority -- 34% of the population is willing to ride along
with the first large wave of adopters. These faculty have less tolerance
for risk, are more expedient (interested in what technology can do for
them), are generally not interested in technology for its own sake, and
require that the technology be easy to use, and supported.
Late majority -- 34% will take advantage of the experiences of
previous adopters, and maturation of technology by waiting until a
majority of the membership has implemented use of the technology. This
population is risk-averse, and completely expedient with regard to
technology (what can it do for me, right now, with a minimum investment
in time and energy?)
Late adopters -- 16% of the population will resist any adoption of
technology until it is imposed on them by policy or peer pressure. This
population may be uncomfortable with technology, or have pressing
priorities that technology may not further. A current example of this
population are those faculty who aren't yet using electronic mail for
instructional purposes.
A campus as a whole may also be characterized in this way. The culture
at M.I.T., for example, is such that the campus as a whole could be
considered an innovator campus. As a consequence, the campus community
tends to be less risk-averse, and much more willing to tolerate bugs,
underdeveloped user interfaces, and all the problems that plague immature
or developing technologies. In this environment, a relatively immature
technology might be deployed campus-wide.
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The feedback received during the course of the LEAD project
indicates that the campus community does not want UC Davis,
as an institution, to be an early adopter of instructional
technology. The LEAD team therefore recommends that
instructional technology not be rolled out for full
production until the technology is mature, and a willingness
to adopt has been demonstrated by the late majority. |
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Further, the LEAD team recommends the following ongoing
instructional technology development cycle (illustrated in
the Action Triangle below):
Technical staff (departmental and I.T.) and campus researchers
monitor and research the development of new technologies. Campus
advisory bodies (AdC3, AC4) monitor developing needs.
- If a new technology can be matched with a critical
campus need, technical staff (departmental and I.T.)
prototype its use with innovators to explore its
technical readiness (technical feasibility testing).
- If a new technology can be matched with a critical
campus need, technical and user support staff perform
pilot(s) with early adopters (to evaluate implementation
feasibility).
- If a new technology can be matched with a critical
campus need, the need is increasing, and the technology
has been demonstrated through prototyping and piloting
to be maturing or mature, technical and user support staff
commence limited production with early majority only.
Independent evaluators test willingness to adopt by doing
a series of focus groups with faculty who are
representative
of early majority (not innovators or early adopters).
- Full production status of a new technology should be
commenced only when a new technology can be matched
with a critical campus need, has been demonstrated
to be mature (through prototyping, piloting and
limited production) and the late majority has
demonstrated a willingness to adopt it.
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Process Used By the LEAD Team
The LEAD team went through the following process in order to develop its
recommendations:
- Evaluated criticality of needs.
- Identified technologies, and confirmed that the technologies
were responsive to the need(s), and that all appropriate
technologies and alternatives had been identified.
- Evaluated the "readiness" of the technology.
- Mapped the needs to the responsive technologies to develop
the suggested implementing action (research and monitor,
prototype, pilot, limited production, or full production).
Mapping Needs to Responsive Technologies
In order to discuss and understand the appropriate amount of resources to
invest in developing and implementing a new technology, installing a new
infrastructure, or providing a new service, the LEAD team evaluated the
"readiness" of the technology (its fit and appropriateness in the
context of the criticality of need).
An example of the mapping process is given below:
1) Create a vertical axis, and rank the needs along it, from low
criticality to high.
For example, the following vertical axis goes from low need (e.g.,
support distance learning, which is probably not a high priority for our
Research I, residentally-based campus) to high need (we need to do more
with the same classroom resources by providing some way to respond to
over-enrolled general education classes and Tidal Wave II). Helping
faculty communicate with their students is evaluated as an important
need.

2)Evaluate the technologies identified as responsive to the need,
according to the following criteria:
- Robustness of the technology (scalability, extensibility,
interoperability, full feature set).
- Maturity of the technology (stable standards, multiple
commercial offerings, adoption by comparable universities).
- Implementation feasibility of the technology (cost, whether
it fits the UCD environment and culture, if we have sufficient
infrastructure, support).
For example, we could look at electronic mail as a technology that is
responsive to the need for faculty to communicate with students
conveniently and effectively. In evaluating electronic mail along three
horizontal axes representing the criteria above, we would likely agree
that it isn't perfectly robust (it lacks some of the features, such as
ability to have graphics in our messages), but it is pretty mature and
we've already demonstrated that the implementation feasibility on this
campus is high.

We could then obtain the product of the evaluation of these three
criteria into a technology readiness assessment, and in the case of
electronic mail it would look something like this:

3) Map the intersection of the two parameters (criticality of needs,
readiness of technology).
If we put the two axes together, the intersection of the need and the
technology would be in the upper right quadrant of the graph (see point
"D" in the diagram below):

With a technology that is evolving and maturing, and a need that is
already important and expected to become critical, the above diagram
describes appropriate action based on the relative maturity of the
technology. Because of criticality of need, if the technology were
in fact maturing relatively rapidly, this might result in the "Fast
Tracking" of a project (moving it quickly through each phase of the
development cycle). Each need/technology pair can be mapped this way,
into the Needs/Technology matrix.
The other dimension is trend over time, which is represented by a trend
line. An upward trend line represents an increasingly critical need, and
a rightward direction on the horizontal axis, a technology that evolving
and maturing.

For a technology that is evolving and maturing, but a need that is not at
present critical, the above diagram describes appropriate action based on
relative maturity of the technology and predictions about the potential
change in criticality of need.
An additional general recommendation was also developed:
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For every technology service or product that is introduced
to the campus, and for every phase in the development process,
an exit strategy should be defined from the very beginning of
the process. An exit strategy is a description of the
circumstances under which the product or service would no
longer be provided or supported, and of the transition steps
that would be taken to phase out the product or service.
For example, every pilot should have an exit strategy that
makes it clear that at the end of the pilot, the product or
service provided during the pilot will no longer be available.
By the same token, an exit strategy for mature technologies
that are in full production on the campus would identify how
the relative criticality of needs will be monitored, and the
trigger point for declining needs that would initiate a
defined phase-out process for the product or service. |

The above diagram illustrates a generalized decision matrix used by the
LEAD team:
- Research and monitor experimental technologies, where the matching
need is not critical.
Example-Virtual Reality as a tool for simulating complex chemical
interactions.
- Prototype emerging technologies, where the matching need is
increasing, but not yet critical.
Example-Image Databases as a tool for sharing resources.
- Pilot emerging technologies, if the matching need is both critical
and increasing.
Example-Common file
space for electronic distribution and collection of class
materials.
- Go into limited production once the technology is determined to be
maturing, if the need is critical.
Example-Use portals and middleware to manage complexity.
- If the need is not yet critical, but is increasing, pilot the
maturing technology.
Example-Pilot PKI for secure e-mail.
- Support full production only where the need is critical and the
technology is mature.(E-mail)
- Even if the technology is mature, if the need is declining, begin
execution of the exit strategy.
Recommendations - Learning Environment Architecture
Consulting with both the technical and the user communities, the LEAD
team mapped each of the need/technology pairs into this generalized
decision matrix, and based on this analysis, developed the following
recommendations for the learning environment architecture at UC Davis:
- In order to help manage complexity for faculty, develop a class
management portal system. Because the need to manage complexity is
critical, and portals are a maturing technology, put this system into
limited production as soon as possible. The faculty class management
portal system should automate, organize and present all class management
functions using integrated web pages and middleware.
- The full set of functions for class management would include:
- Defining/reviewing course goals and objectives.
- Selecting general content materials.
- Identifying textbook and making arrangements
with bookstore.
- Finding web sites and other on-line resources.
- Developing course structure.
- Developing and distributing teaching plan
(syllabus).
- Planning detailed lectures.
- Developing and distributing lecture notes,
class handouts and other course materials.
- Planning TA activities (define roles,
interaction plan).
- Designing student interaction and collaboration,
and selecting communication tools; setting up
mechanisms for communication with students
(e-mail lists, chat, newsgroups, whiteboards, etc.)
- Designing assignments.
- Designing labs.
- Designing tests.
- Creating web page for course.
- Determining access rules for on-line materials.
- Designing site.
- Authoring static pages.
- Setting up dynamic structures for web page
generation (databases, forms, etc.)
- Preparing graphics and including them on the
web page.
- Transferring files to web server; activating site.
- Identifying desired classroom on basis of
needed characteristics, and generating reservation
request.
- Reserving computer labs.
- Managing web site.
- Managing class list (adds/drops); monitor for
prerequisites.
- Managing student interactions and collaborations.
- Distributing assignments.
- Collecting assignments.
- Tracking assignments, and maintain record of
evaluation (grades).
- Administering tests.
- Grading tests.
- Recording and tracking grades.
- Reporting final grades.
- Archiving class materials.
- Cloning new class from existing class.
- Evaluating web site (effectiveness of material,
use of material, etc.).
- This system should be developed incrementally, with
existing critical functions organized in this manner,
and additional functions developed and set up for access
through the portal on a prioritized basis. The current
MyUCDavis could be the basis for this portal system.
Include the Teaching Resources Center in the prioritization
process by adding TRC representation to the Steering
Committee or Advisory Committee.
- Leverage the use of existing databases (e.g., Student
Information System) through the use of middleware,
standard formats, and interoperable systems-without
constraining faculty ability to manage classes.
For example, class rosters should be generated
automatically from the Student Information System,
but faculty should be able to add and delete students
from their class list as needed.
- Even if existing (and new services) weren't developed
in an integrated manner, use middleware and the portal
system to integrate them from the faculty person's
perspective.
- Roll out new services for faculty using the portal
system.
- Work with departmental technical support coordinators
to provide access to locally-developed class management
services through a defined area of the same portal.
Evaluate these for campuswide use.
- Provide flexibility while managing complexity by
permitting faculty to choose the following options
for their course web pages:
- Minimal web page, generated from existing database.
- Limited customization, with data from existing
databases, and additional data collected through
simple web forms that faculty or departmental staff
complete.
- More complex course web pages, generated by commercial
course management system (see recommendation #2 for
more details).
- Completely customized course web pages, whether
generated through static html pages, or dynamically
generated with a database, middleware and web server.
- Conduct feasibility pilots on two Course Management Systems as
recommended by the Integrated Course Management team (a task group
of the LEAD team), and evaluate the extent to which they could
help faculty manage complexity.
- Set up implementation feasibility evaluation criteria,
consulting with faculty, departmental technical staff, I.T.
Client Services staff, other I.T. staff, and students.
- Pilot the use of CourseInfo in 2 to 4 classes, and
evaluate according to criteria.
- Pilot the use of WebCT in 2 to 4 classes, and evaluate
according to criteria.
- On the basis of the pilots, report on the following
issues and make recommendations to the decision-making bodies
(Technology Infrastructure Forum, AdC3, AC4) on the following
matters:
- Should UCDavis implement a course management system
(technical feasibility and implementation feasibility)?
- What support and infrastructure would be necessary
to use a course management system (and what would
that cost)?
- If so, how should such a system be implemented
(centrally, distributed in departments, hybrid)?
- If so, should the system be one of the two
commercial packages, or a component-based system
developed locally?
- If a commercial product should be used, which course
management system would provide the most appropriate
support for UCDavis courses, and which is preferred by
UC Davis faculty, students and technical staff?
- On the basis of the pilots, and additional consultation with
departmental technical staff, develop a Recommended Solutions
document for departmental and campus course web page
generation,
maintenance, and archiving.
- On the basis of the pilots, additional consultation with
departmental technical staff and usability experts, develop
CourseWeb Page Design and Maintenance Guidelines.
- In order to manage complexity for students, develop a similar
student portal system (which is fully integrated with the faculty
class management portal system), providing the following
functionality:
- Access course web pages in one place, for all classes in
which
the student is registered, whether the pages are generated
from
the student information system, a course management system,
or
a customized system used by their faculty.
- Access e-mail through web interface.
- Provide support for publication of student course
page (notes, individual projects, etc.)
- Provide support for project web pages for student
collaborations.
- Provide controlled access to student web pages.
- Provide for the archiving of student web pages in their
own directories (so that if the class archive is deleted,
if the student wants a copy of their web work, they can
still maintain one.)
- In order to manage complexity for technical staff, develop a
similar technical staff portal system through the TSP
consultation process.
- In order to help faculty and students manage the dissemination
of and access to information, evaluate different methods of
providing common
file spaces for classes (areas that a faculty
person can set up for posting assignments and handouts for
downloading by students; and that students can access for
turning in assignments or conducting collaborative group
projects)
- The desired characteristics for this file space are:
- Ease of use: Simple user interface (GUI), based
on existing conceptual models (e.g., copying
files by drag/dropping into folders)
- Leverage existing infrastructure: Automatic
set-up for each individual, and each class
based on existing databases..
- Easy forms-based set-up for groups (informal
study groups, as well as more formal
faculty-organized groups).
- Robust access control with a simple user
interface.
- Student privacy policies supported.
- Access to files without downloading.
- Extensibility, scalability, and sustainability.
- Conduct feasibility pilot of AFS and other systems to
evaluate technology readiness, and performance according to
the evaluation criteria.
- Include common
file space functions in the evaluation of
the course management systems. (See recommendation #2
above).
- In order to help students disseminate information about
themselves, and promote informal collaborations (personal
web page, personal portfolio, collaborative web pages,
etc.), conduct a pilot project to evaluate services
that provide web space to individuals. (e.g., I-Drive).
In addition, evaluate the service to determine the extent
to which it can support common file space
functions.
- Provide authentication and authorization system sufficient to
control access to intellectual property, and protect the campus'
legal interests with regard to copyright protection and limited
access to copyrighted documents.
- Pilot the use of personal digital certificates (using
Public Key Infrastructure).
- Research and monitor the development of other encryption,
authentication and authorization systems.
- Continue to develop and extend the existing distributed
authentication service.
- Support mobile work for faculty, students, and staff.
- Provide campus-wide production service for DHCP.
- Include remote access guidelines in the Course Web
Page Design and Maintenance Guidelines.
- Include remote access support in authentication
and authorization systems.
- Evaluate web server/middleware/database combinations and
develop selection and development guidelines as part of the
Course Web Page Design and Maintenance Guidelines.
- Provide design guidelines for campus developers of
instructional systems. In addition to the Course Web Page
Design and Maintenance Guidelines,
- Develop Instructional Systems Interoperability
Recommended Solutions document for technical staff,
incorporating existing IMS specifications.
- Monitor development of IMS specifications, and relay
appropriate information to campus developers.
- Provide collaboration and communication tools for informal
collaboration.
- Working with the Teaching Resources Center, T.A., and
discussion groups, prototype informal collaboration tools.
- Evaluate the technical feasibility of their use.
- Make recommendations as to pilots, as appropriate.
- Evaluate digital repositories for instructional use.
- Conduct prototyping project of digital image
repository for instructional use.
- Pilot should involve library personnel with regard
to digital library issues, including archival and
data retrieval.
Institutional Infrastructure & Policy Issues
During surveys, interviews, and focus groups, the following issues arose.
While these are not technical in nature, our research indicates they are
barriers to the use of instructional technology:
Faculty Support
From the faculty point of view, services necessary to use instructional
technology are either:
- non-existent.
- If they exist, not visible.
- If they exist, not integrated with each other.
- If they exist, aren't local enough for easy access.
Currently, faculty members find their primary source of assistance in
their
departmental or college technical support staff. This is true for all
areas of support, including the development of web pages and other
support
for hardware, software, courseware, and networks. Interviews confirmed
that
for most faculty, this both the actual and preferred state of affairs.
On
the other hand, the technical support staff survey and interviews
indicated
that support of instructional technology for faculty was not clearly
identified as the departmental technical staff's responsibility, and
if they were supporting faculty for academic activities as well as
administrative staff, they were beginning to feel overwhelmed.
Extending the current cooperative efforts of the TSP and the TRC could
mitigate this situation, as could the departmental technical staff portal
system.
In addition, there is no clear mechanism for ongoing assessment of
faculty needs, or for integration of new applications (with each other,
and with existing applications) developed to meet those needs. In
addition
to ensuring the appointment of TRC representatives on committees such as
the
MyUCDavis Steering Committee, the LEAD team recommends the formation of a
group made up of representatives from all campus units which provide
instructional support to faculty (including TSC's), for the purpose of
identifying needs and communicating these to various project steering
committees and service units involved.
Policy Issues
A common theme during the interviews was that the scholarly value of
academic technology is not recognized, nor is there a body or procedure
for evaluating the scholarly merit of academic technology efforts. For
research efforts, the work of a faculty member is evaluated by his or
her peers, and often through scholarly publication. There isn't a
similar process for the evaluation of teaching efforts. Some efforts
on the national scene, including the MERLOT project, are beginning to
develop peer evaluation and assessment processes for instructional
technology. Actions such as those taken by the University of Michigan,
to formally recognize the scholarly value of academic technology, and
create an institutionally-recognized body to evaluate the scholarly
merit of academic technology efforts, would help mitigate this
problem.
In addition, faculty and staff complain that ownership rights are not
clear with regard to software, courseware, or computer-based
instructional content which has been developed with campus resources.
The undefined nature of this area is a barrier to development of this
type of content. This barrier would be eliminated or reduced through
the development of clear, formal institutional policies concerning
intellectual property rights as they relate to the creation of
computer-based instructional tools and resources.
Finally, during the LEAD consultation process Library staff indicated
a strong concern that projects were building extensive databases or
repositories of information without considering data archiving and
retrieval for future use. The conversion of many critical academic
resources, such as slides or course materials to digital format is
being done without addressing the long-term accessibility or
viability of that resource. The LEAD team recommends that the
Library take the lead in identifying and using national best
practices and emerging UC California Digital Library and
national standards (such as XML and metadata strategies), and
in developing campus policies and design guidelines for database
owners and creators that will preserve data integrity and permit
access to the data in future years regardless of the technology
used.