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1. Project Objective
2. Method
3. Funding Rationale
---Impact
---Innovation
---Feasibility
---Technology Transfer and Outreach
---Leverage
---Collaboration
---Outcome Assessment
4. Project Budget Details
5. Project Schedule
2.Method:
There are three steps for evaluating the cost-effectiveness of a MWT deployment
in higher education classrooms. As a first step, the effectiveness and the impact
of the MWT (e.g. PDAs, laptops, or PRS-type devices) must be determined. The
effectiveness and the impact of the MWT will be evaluated in the proposed research
based on three key outcomes: contribution to achieving class learning objectives,
impact on student learning achievement, and impact on student attitudes. Student
achievement (homework scores, quiz scores, and test scores), surveys, interviews,
focus groups and direct observations will be used to determine the effectiveness
and the impact of using MWT in required undergraduate-level engineering courses.
Second, the cost of various MWT configurations (hardware, software, support,
and infrastructure) must be calculated. To determine the cost, hardware, software
(including any software development costs), support costs, as well as estimates
of the cost of required infrastructure will be estimated for each implementation
and an overall total will be determined. The initial cost model will be based
on implementations of various MWT’s at OSU, but a software tool will be
developed to assist in collecting relevant cost information of future deployments.
In the third and final step, a set of metrics for cost-effectiveness that take
effectiveness, impact, and cost into account will be developed.
The initial development of the methodology will be based on data collected
during the next four months from five courses at OSU. The methodology will be
validated based on data collected in Fall term 2004 and Winter term 2005 at
OSU. It is anticipated that at least three courses will be offered during these
terms to use for validation. During the validation phase, one other institution
in the Northwest will be identified to provide additional data for validation.
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