Promoting Higher Education: The Latino Achievement Mentoring Program (LAMP)

Statistics suggest that Latino youths are at risk for academic underachievement and withdrawal. Culturally sensitive approaches to supporting school achievement based on the needs of Latino youth and their families must be developed. In response to these needs, the Latino Research Initiative (LRI), a collaborative group with members from the University of Nebraska-Lincoln (UNL) and the Hispanic Community Center (HCC) created the Latino Achievement Mentoring Program (LAMP). LAMP is a culturally appropriate mentoring program designed to promote school success and post-secondary opportunities for Latino youths. This program provides Latino youths with positive role models and information and guidance about academic life and future school success. Finally, because of the cultural significance of family members among many Latinos, LAMP activities are developed and implemented such that the mentees' family members are involved. This presentation will report the first-year activities of the initial mentor and men tee pairs, with particular emphasis on educational outreach and academic development of the program. Evaluation data will be presented for the first cohort of mentees, including academic information, teacher reports and self-measure findings. LAMP activities aimed at promoting academic success will also be presented. Finally, the experiences of the mentors will briefly be reported.

Talent Management in Higher Education: Developing Emerging Leaders Within the Administration at Private Colleges and Universities

This research focused on identifying a series of successful practices relating to administrative talent management within the higher education setting. The field study included a thorough examination of seven small to mid-size private colleges and universities that have incorporated employee development strategies. These strategies were aimed at growing future leaders from within the organization in order to achieve continuity and support institutional priorities. Specifically, several focus areas were investigated including presidential vision, leadership commitment, talent management’s place among institutional priorities, program characteristics, and program evaluation. Among the commonalities that were gathered included support at the senior officer level who serve as advocates, mentors, and program facilitators, a strong connection between talent management and the institutions’ strategic plans, and a holistic approach to developing talent at all levels of the organizations. In addition, both coaching and opportunities for growth in the work environment were evident within several of the institutions. Also, academic leadership development was considered to be a part of the talent management strategy within three of the colleges and universities. The key differentiators included the incorporation of organizational and leadership competencies to provide focus toward the performance development process at two institutions, the implementation of a succession planning model at another institution, and the location of human resource generalists in departments across two of the institutions to identify learning opportunities for both individuals and work teams. Based on both the findings from the field study and the literature review, a comprehensive procedural model is introduced that serves to support human resource departments and higher education professionals, in general, who are looking to either begin or broaden their own talent management approach. However, despite the progress that has been made across several institutions noted throughout the research study, much more must be learned in terms of how the time and resources invested in talent management translates to institutional success. Advisor: James O‘Hanlon

Evaluation of operational SSM/I ice-concentration algorithms

The United States National Ice Center (NIC) provides weekly ice analyses of the Arctic and Antarctic using information from ice reconnaissance, ship reports and high-resolution satellite imagery. In cloud-covered areas and regions lacking imagery, the higher-resolution sources are augmented by ice concentrations derived from Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSMII) passive-microwave imagery. However, the SSMII-derived ice concentrations are limited by low resolution and uncertainties in thin-ice regions. Ongoing research at NIC is attempting to improve the utility of these SSMII products for operational sea-ice analyses. The refinements of operational algorithms may also aid future scientific studies. Here we discuss an evaluation of the standard operational ice-concentration algorithm, Cal/Val, with a possible alternative, a modified NASA Team algorithm. The modified algorithm compares favorably with CallVal and is a substantial improvement over the standard NASA Team algorithm in thin-ice regions that are of particular interest to operational activities.