The spectrum of school–university partnerships: A typology of organizational learning systems

School–university partnerships are not uni-dimensional projects. Success in these partnerships can be found in loosely-coupled systems such as client–server partnerships and in more tightly-coupled systems such as collaborative development centers. Using a comparative case study approach, we explore two school–university partnership case studies and propose a framework for identifying and evaluating partnerships as learning systems. The structure of the partnership has implications for the focus of organizational learning initiatives that can form the foundation of sustained, systemic internal evaluation.     

A Family Focused Intervention Influences Hippocampal-Prefrontal Connectivity Through Gains in Self-Regulation

The stressors associated with poverty increase the risks for externalizing psychopathology; however, specific patterns of neurobiology and higher self-regulation may buffer against these effects. This study leveraged a randomized control trial, aimed at increasing self-regulation at ~11 years of age. As adults, these same individuals completed functional MRI scanning (M_age = 24.88 years; intervention n = 44; control n = 49). Functional connectivity between the hippocampus and ventromedial prefrontal cortex was examined in relation to the intervention, gains in self-regulation, and present-day externalizing symptoms. Increased connectivity between these brain areas was noted in the intervention group compared to controls. Furthermore, individual gains in self-regulation, instilled by the intervention, statistically explained this brain difference. These results begin to connect neurobiological and psychosocial markers of risk and resiliency.     

An evaluation of the SOAR-High Project: a Web-based science program for deaf students

The investigators evaluated the SOAR-High (Science, Observing, and Reporting-High School) Project, a web-based earth systems science course involving collaborating teachers and deaf students at high schools in California, Washington, DC, and Indiana. In SOAR-High, students use Internet- and computer-based technologies to gather and report information. The investigators and stakeholders identified 4 key questions: (a) Are the SOAR-High students becoming proficient in using the science process skills? (b) Do the SOAR-High curriculum materials explicitly stress the use of science process skills? (c) Do the SOAR-High students develop skills to work independently? (d) Does the SOAR-High Project aid in student motivation? Quantitative and qualitative evaluative tools to address each question included student and teacher interviews, classroom observations, performance-based tasks, and reviews of student website work. Findings showed convincing evidence for affirmative answers to all 4 questions. However, some students described difficulties with the reading levels of the SOAR-High materials; some teachers expressed concern about SOAR-High's effectiveness because of its use with students at different grade levels.     

Are gender differences in perceived and demonstrated technology literacy significant? It depends on the model

This paper examines gender differences related to Information and Communication Technology (ICT) literacy using two valid and internally consistent measures with eighth grade students (N = 1,513) from Florida public schools. The results of t test statistical analyses, which examined only gender differences in demonstrated and perceived ICT skills, indicate significant differences in all areas in favor of females. Females had higher factor scores in perception measures for Frequency of Computer Use, Perceived ICT Skills, and Attitudes toward Computers. In addition, female students had significantly higher scores on all six sections from the Student Tool for Technology Literacy, a performance-based assessment. These results counter many empirical research studies that show males generally perform better with ICT skills and have overall better attitudes toward computers than their female counterparts. However, when adding predictors to the model and using multilevel modeling statistical methods, findings indicate that gender was no longer significant. These findings question the importance of the gender differences related to ICT skills that were found with previous statistical examinations. Using more advanced statistical methods to answer research questions pertaining to ICT skills is important in order to determine which factors have the greatest potential for intervention programs that focus on developing equitable ICT skills and career choices for all students.