Learning Environment Architecture Development Project
Summary Report

  • Purpose of LEAD Project
  • Needs Assessment
  • Responsive Technologies
  • Decision-Making Rubric
  • Criticality of Needs
  • Technology Readiness
  • Process Used By the LEAD Team
  • Mapping Needs to Responsive Technologies
  • Recommendations - Learning Environment Architecture
  • Institutional Infrastructure & Policy Issues

  • Purpose of LEAD Project

    The purpose of the Learning Environment Architecture Development Project was to:


    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 manage dissemination of and access to information.

    Help us communicate and collaborate.

    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:


    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)
    • 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)


    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:

    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

    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:


    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:


    Technology Readiness

    Relative "technology readiness" is, in the context of an identified need, the appropriateness of the technology to that need, and whether:
    1. At least one commercial product exists.
    2. Stable, accepted market standards exist.
    3. The technology is accepted and used widely at comparable institutions of higher education (adoption rate is high).
    4. A single, strong offering dominates the market, or multiple offerings are available in the market.
    5. Implementation feasibility is high.
    6. Technology is scaleable, replicable, extensible.
    7. The technology can leverage existing infrastructure and investment.
    8. 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.

    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.
    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.

    1. 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).

    2. 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).

    3. 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).

    4. 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.


    Action 
Triangle


    Process Used By the LEAD Team

    The LEAD team went through the following process in order to develop its recommendations:


    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.

    Figure 
1


    2)Evaluate the technologies identified as responsive to the need, according to the following criteria:

    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.

    Figure 
2


    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:

    Figure 
3


    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):

    Fast Track Decision 
Matrix


    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.

    Stable Needs Decision 
Matrix


    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:

    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.


    Generalized Decision  
Matrix


    The above diagram illustrates a generalized decision matrix used by the LEAD team:
    1. Research and monitor experimental technologies, where the matching need is not critical.
      Example-Virtual Reality as a tool for simulating complex chemical interactions.

    2. Prototype emerging technologies, where the matching need is increasing, but not yet critical.
      Example-Image Databases as a tool for sharing resources.

    3. Pilot emerging technologies, if the matching need is both critical and increasing.
      Example-Common file space for electronic distribution and collection of class materials.

    4. 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.

    5. If the need is not yet critical, but is increasing, pilot the maturing technology.
      Example-Pilot PKI for secure e-mail.

    6. Support full production only where the need is critical and the technology is mature.(E-mail)

    7. 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:
    1. 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.
      1. 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.).

      2. 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.

      3. 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.

      4. 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.

      5. Roll out new services for faculty using the portal system.

      6. 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.

      7. 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.

    2. 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.
      1. Set up implementation feasibility evaluation criteria, consulting with faculty, departmental technical staff, I.T. Client Services staff, other I.T. staff, and students.

      2. Pilot the use of CourseInfo in 2 to 4 classes, and evaluate according to criteria.

      3. Pilot the use of WebCT in 2 to 4 classes, and evaluate according to criteria.

      4. 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?

      5. 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.

      6. On the basis of the pilots, additional consultation with departmental technical staff and usability experts, develop CourseWeb Page Design and Maintenance Guidelines.

    3. 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:
      1. 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.
      2. Access e-mail through web interface.
      3. Provide support for publication of student course page (notes, individual projects, etc.)
      4. Provide support for project web pages for student collaborations.
      5. Provide controlled access to student web pages.
      6. 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.)

    4. In order to manage complexity for technical staff, develop a similar technical staff portal system through the TSP consultation process.

    5. 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)
      1. 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.

      2. Conduct feasibility pilot of AFS and other systems to evaluate technology readiness, and performance according to the evaluation criteria.

      3. Include common file space functions in the evaluation of the course management systems. (See recommendation #2 above).

      4. 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.

    6. 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.
      1. Pilot the use of personal digital certificates (using Public Key Infrastructure).
      2. Research and monitor the development of other encryption, authentication and authorization systems.
      3. Continue to develop and extend the existing distributed authentication service.

    7. Support mobile work for faculty, students, and staff.
      1. Provide campus-wide production service for DHCP.
      2. Include remote access guidelines in the Course Web Page Design and Maintenance Guidelines.
      3. Include remote access support in authentication and authorization systems.

    8. Evaluate web server/middleware/database combinations and develop selection and development guidelines as part of the Course Web Page Design and Maintenance Guidelines.
    9. Provide design guidelines for campus developers of instructional systems. In addition to the Course Web Page Design and Maintenance Guidelines,
      1. Develop Instructional Systems Interoperability Recommended Solutions document for technical staff, incorporating existing IMS specifications.
      2. Monitor development of IMS specifications, and relay appropriate information to campus developers.

    10. Provide collaboration and communication tools for informal collaboration.
      1. Working with the Teaching Resources Center, T.A., and discussion groups, prototype informal collaboration tools.
      2. Evaluate the technical feasibility of their use.
      3. Make recommendations as to pilots, as appropriate.

    11. Evaluate digital repositories for instructional use.
      1. Conduct prototyping project of digital image repository for instructional use.
      2. 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:
    1. non-existent.
    2. If they exist, not visible.
    3. If they exist, not integrated with each other.
    4. 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.