An NSF Funded Project
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Project #1:: Academic Advising
Project Team: Linda Cain, Judith Inazu, Michelle Jay, and Michael Shain Project Description: The College of Engineering and Applied Sciences (CEAS) maintains a central advising office staffed by two full-time staff members and part-time student helpers to coordinate academic advising activities. The Advising Office maintains all student records, organizes advising workshops for the academic advisors, and provides up-to-date information regarding General Education and other policies to the academic advisors who are faculty members. Students make appointments and meet with their academic advisors at the central advising office. The mission, vision and goal statement of Advising and Admissions were created in 2001 and adapted from national literature on effective academic advising. Tasks Desired:
Project #2: Strategies for Sustaining ATE Projects and Centers Project Team: Ruth Anderson, Lynn Onken, Randy Siebold, and Mina Zadeh Project Description: The Evaluation Center is engaged in a multi-year evaluation of the National Science Foundations Advanced Technological Education (ATE) program. One aspect of this evaluation concerns the degree to which projects and centers have developed strategies for sustaining their operations after the end of ATE funding. Qualitative data are available from an annual evaluation survey of ATE projects. The overall objective of this project would be to support the evaluation by examining these data in-depth and helping formulate evaluative judgments about the ATE program on this dimension. Tasks Desired:
Project #3: Multivariate Analysis of ATE Evaluation Survey Data Project Team: Letoynia Coombs, Anne D'Agostino, Erin dolan, and Mary Moriarty Project Description: The Evaluation Center is engaged in a multi-year evaluation of the National Science Foundations Advanced Technological Education (ATE) program. The central activity for this evaluation is an annual survey of ATE projects and centers, which provides data on a variety of different project-level activities. Multivariate analysis of this survey data may lead to deeper understanding of the conditions that contribute to successful generation of desired program results, which in turn can help evaluators frame data-driven recommendations for program improvement. The purpose of this project would be to articulate 1 or more structural models that could be examined using multivariate analysis techniques (e.g., path analysis). This analysis could contribute to final ATE evaluation findings and recommendations to the NSF. Tasks Desired:
Project #4: Choose methodologies and analyze Web resource use data Project Team: Jean Eells, Teresa Foley, and Jo Ann Smith Project Description: The MTS Project has developed a number of Web-based evaluation resources. We have routinely collected a variety of data about the use of those resources including Web log data and search term data. We would like to see recommendations for the Web resource site, based upon the available data and recommendations for other useful data that we could collect. Tasks Desired:
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