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About the SIMS Corpus Project
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Corpus:
A large collection of writings of a specific kind
or on a specific subject. A collection of writings
or recorded remarks used for linguistic analysis.– Dictionary.com |
The Team
Problem Statement
Project Objectives
Timeline
Evaluation Criteria
The Team
| Team
Member |
Core
Competency |
Qualifications |
| Mukesh Darke |
Technology –
specifically systems design & implementation,
computer networks, and the management of technology. |
Before starting at SIMS, Mukesh worked as a
systems administrator for a medium-sized construction company
in the Bay Area, as well as a systems/network consultant. |
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| Krista Gettle |
Process and Politics –
strategic planning and policy
for technology environments, business process analysis, and
requirements documentation. |
Krista is currently working with the Alameda
County Department of Children and Family Services to craft
a Data Integrity Plan for the agency’s case management
system. Previously, Krista consulted with a number of local
and state law and justice agencies on technology strategy
and implementation projects, including the State of California
Administrative Office of the Courts, Western Contra Costa
Consortium of Police Agencies, and the City of San Leandro. |
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| Diana Stepner |
User Experience –
specifically usability & task
analysis, user interface design, and information organization. |
Diana is interning at Salesforce.com and is responsible
for user experience efforts -- specifically gathering user
requirements, conducting usability tests, and working with
developers to ensure design issues are addressed. Prior to
SIMS, she managed Customer Relationship Management implementations
for E.piphany in both the US and Europe. She also was the
Database Marketing Manager at Macromedia and earned an MBA
from Boston University. |
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Problem Statement Initially,
the SIMS Corpus team set out to create a data model of the SIMS domain that
could be used to annotate SIMS content and ultimately make information at
SIMS more accessible. Currently, much of the information about SIMS is posted
to a single website; all of the information is available internally to SIMS,
while a scaled down subset of the information is made available to external
users. Although the site contains a wealth of information, much of its power
is lost because individuals cannot select or customize content to meet their
needs. In the absence of these capabilities, people create their own methods
for tracking relevant academic interests and information such as course
websites, events, and important dates.
However, upon researching student information needs and the information
resources available to meet them, we began to recognize that more fundamental
questions about the nature of SIMS and the SIMS experience had to be answered
before a definitive model could be crafted. For example, the student survey
and faculty interviews revealed a great deal of variation in people’s
opinions of SIMS’ mission and competencies. Consequently, our project
was forced to shift its focus. Instead of developing a data model which
supported a transient view of SIMS, we focused our energy on identifying
the points of convergence and divergence amongst SIMS stakeholders, which
is critical to SIMS’ future and therefore could not be neglected.
We hope our findings will spur the development of a shared vision for SIMS
and serve as a foundation for future projects--including the development
of a SIMS data model.
Project Objectives
The following information provides an overview of our project
as well as identifies the beneficiaries and rationale for choosing this
project as the capstone of our SIMS education.
Overview
Our final project is an opportunity to utilize the methods we
have learned to develop a model of the SIMS’ approach to information management. By analyzing existing course content in conjunction with stakeholders’ needs
we will endeavor to make the constitution of Information Management
more conscious and apparent. In support, the objective of our project
is to develop
a data model of the SIMS Corpus that will have both practical and
strategic importance by combining qualitative methods and objective
analysis. Strategic
in that it provides a roadmap of the evolution in content used
in SIMS courses and produced by SIMS projects. It will also offer
tactical value by providing
an extensible model that can be implemented to navigate and manage
content.
Process
We will achieve these objectives by thoroughly analyzing the
SIMS corpus of information. Specifically, we plan to inventory
three critical
components: courses (enrollment, syllabus topics, readings), projects
(student selected research), and people (students and alumni). Once
this task is completed, a flexible information architecture will
be crafted to organize the data components and facilitate the identification
of overlaps, gaps and opportunities in the SIMS’ corpus.
Wherever possible, we will incorporate existing data models developed
by the Center for Document Engineering (e.g. course model, event
model). We will use Topic Maps in conjunction with XML to minimize
the time and resources required to present relationships between
data entities. In addition to the data model, we will develop a user
interface to provide a graphical context for our model and the supporting
content.
Why Now?
Numerous factors have converged to make this a particularly suitable
time to undertake this self-examination and initiate change. This
academic year brought the appointment of the school’s second
dean, AnnaLee Saxenian, and the retirement of a long-term faculty
member, Michael Buckland. Because people are one of SIMS’ most
important resources, these changes prompted a re-evaluation of the
skills lost and gained to ensure the overall quality of the SIMS
experience remained strong. During this same period, there was a
growing awareness that student perceptions and expectations about
the curriculum were not aligned with its offerings. Students expressed
varied levels of satisfaction with and commitment to the SIMS experience.
The changes initiated by faculty and requested by students are propelling
the school to reflect on its mission, and to how it develops and
promotes itself as a professional school.
Timeline
Our project methodology is a phased approach with deliverables
due at the conclusion of each phase. The artifacts are constructed
in such a way that they can be combined into a comprehensive final
1.
Project Definition [Jan 1 to Jan 31, 2004]
- Identify project scope and objectives
- Hold initial discussions with specific project
stakeholders
- Evaluate available data and access
- DELIVERABLE: Project Scope and Detailed Project
Plan
2. Data Analysis [Jan 31, 2004 to Feb 28, 2004]
- Begin preliminary needs assessment
- Collect and analyze data from
target audience
- Analyze content to
identify common themes
- DELIVERABLE: Reports (Interview,
Survey, Enrollment)
3. Findings
[Mar 1, 2004 to Mar
20, 2004]
- Identify and categorize findings
- Determine if commonality exists and assign priority
- Design outline which reflects key points
- DELIVERABLE: Outline of top findings and supporting data
4. Recommendations [Mar 21, 2004 to Apr
30, 2004]
- Evaluate findings and brainstorm supporting recommendations
- Determine if commonality exists and assign priority
- Design summary report with highlights and supporting methodology
- DELIVERABLE: Outline of top recommendations and supporting data
5. Final Report and Presentation [May 1, 2004 to May 15,
2004]
- Prepare and present project report
- Prepare and present project presentation
- DELIVERABLE: Outline of final report with highlights and supporting
data, Final Report, Project Presentation
Evaluation
Criteria
We will be evaluated based on the quality, breath, and timeliness of the
deliverables outlined above. In particular our Analysis, Data Model, Prototype,
and Final Recommendations will be scrutinized.
Analysis
To support the timeline of our Final Project, we will not be able
to incorporate every aspect of the three critical components
identified in the Overview section. Instead we will focus on
the topics identified in lectures and readings for courses offered
at SIMS during the Fall ’01 to Spring ’05 timeframe.
Most likely we will choose a subset of the courses to focus on.
We will apply the same timeframe when considering which subset
of projects to include. Along the same lines, we will focus on
student feedback and enrollment data for Masters classes ’03, ’04,
and ’05.
Findings
Critical to the success of our project will be how well our findings
reflects our data.
For example, when
depicting core competencies information, the findings should clearly
build off of the quantitative and quantitative analysis we performed.
To ensure the
accuracy of our findings, an initial outline will be
produced. The outline will be iterated until a clear understanding
is realized and recommendations become apparent.
Recommendations
Each of our findings will be evaluated and
commonalities highlighted. We will then revisit our analysis to
identify supporting recommendations.
They will be reviewed for validity and practicality. An iterative
cycle will be followed to ensure our recommendations are continually
refined based on feedback from individuals they
will impact.
Deliverables
Our final paper and presentation will identify specific
actions for SIMS. We will show how our analysis clearly pointed
to specific findings and led us to certain recommendations. We
will make suggestions for methods, which enacted, could enhance
the SIMS experience.
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