The Evolution of GIS Services within North American Academic Libraries: Documenting Change through the Decades (1995–2016)

This review was conducted to identify articles written about Geographic Information Systems (GIS) services offered in the United States (US) and Canadian university and college libraries. In the early 1990's, the Association of Research Libraries (ARL) GIS Literacy Project, in partnership with Environmental Systems Research Institute (ESRI), helped enable ARL member libraries to create GIS services within their libraries. By the mid to late 1990's, librarians from academic institutions began to write articles that discussed how their library developed GIS services and the components involved with operating a GIS service. Writing about GIS services in academic libraries continued on into the 2000's and 2010's. This review of the literature will document the areas of staffing, service, technology, and data provision for GIS service units from three decades (1990's, 2000's, and 2010's).     

Restorative Rhetoric and Social Media: An Examination of the Boston Marathon Bombing

This study analyzes Boston Mayor Thomas Menino’s rhetoric via Twitter following the Boston Marathon Bombing, exploring how a leader engaged in crisis communication using social media. Guided by restorative rhetoric, we examine how Menino included strategic communication (alleviate risk and restore public safety) and humanistic communication (focusing on the more substantive issues of crisis leadership) in his tweets. Our analysis is grounded in the five tenets of restorative rhetoric as a theoretical lens: initial reaction; assessment of the crisis; issues of blame; healing and forgiveness; and corrective action and rebuilding through a rhetorical vision. The findings demonstrate the utility of social media in aiding leaders as they provide critical information and guidance amid high uncertainty while also initiating the healing process, including fostering resilience.     

The effects of informational complexity and working memory on problem-solving efficiency

This study investigated the influence of informational complexity and working memory capacity on problem-solving efficiency. We examined two predictions of thesituational efficiency hypothesis, which states that the efficiency of problem solving varies as a function of situational constraints. One prediction is that informational complexity affects problem-solving efficiency. A second prediction is that working memory capacity affects problem-solving efficiency. Students completed a working memory task and solved abstract and concrete syllogisms. Participants solved abstract syllogisms more accurately than concrete syllogisms and spent more time solving abstract syllogisms. Thus participants demonstrated greater problem-solving efficiency when solving concrete syllogisms. Results indicate that there is a trade-off between problem-solving accuracy and problem-solving time when information differs with respect to informational complexity, a phenomenon we refer to as theefficiency paradox. Working memory capacity did not affect accuracy or efficiency. The results support the conclusion that problem-solving efficiency is situational and a function of the complexity of information. Educational implications and directions for future research are suggested.     

The influence of reading unit size on the development of Stroop interference in early word decoding

The purpose of the experiments was to determine the automatic use of large or small word reading units in young readers in the absence of word decoding strategies. Picture-word Stroop interference was examined from four types of conflicting labels: (a) words containing both highly predictable grapheme–phoneme correspondence (GPC) units and highly consistent rime units (henceforth, Hi-GPC + Hi-Rime); (b) words with highly predictable GPC units and less consistent rime units (Hi-GPC + Lo-Rime); (c) words with low predictability GPC units and highly consistent rime units (Low GPC + High Rime); (d) nonwords that contained both highly predictable GPC and highly consistent rime units. Naming time for pictures containing these labels was compared against that for pictures with random letter strings or no labels. In Experiment 1, Stroop interference was examined in first, second, and third grade children to determine whether there was developmental change in the presence of rime or GPC interference. In Experiment 2, Stroop interference was examined as a function of relative reading skill in first grade children. In Experiment 3, Stroop interference in adults was compared to the use of rime or GPC pronunciation strategies for nonword reading. In all experiments, Stroop interference in picture naming was longer for pictures with highly predictable GPC unit labels than less predictable GPC unit labels. However, in Experiment 3, even though adults showed interference from predictable GPC units in the Stroop task, they always preferred rime pronunciation for ambiguous nonwords in the nonword reading task. It is argued that the current experiments provide evidence for a flexible units model. The results of this study were presented at the Cognitive Development Society meeting, November 2001, Virginia Beach, VA, and the American Educational Research Association meeting, April 2004, San Diego, California.     

Disconnections Between Teacher Expectations and Student Confidence in Bioethics

This study examines how student practice of scientific argumentation using socioscientific bioethics issues affects both teacher expectations of students’ general performance and student confidence in their own work. When teachers use bioethical issues in the classroom students can gain not only biology content knowledge but also important decision-making skills. Learning bioethics through scientific argumentation gives students opportunities to express their ideas, formulate educated opinions and value others’ viewpoints. Research has shown that science teachers’ expectations of student success and knowledge directly influence student achievement and confidence levels. Our study analyzes pre-course and post-course surveys completed by students enrolled in a university level bioethics course (n = 111) and by faculty in the College of Biology and Agriculture faculty (n = 34) based on their perceptions of student confidence. Additionally, student data were collected from classroom observations and interviews. Data analysis showed a disconnect between faculty and students perceptions of confidence for both knowledge and the use of science argumentation. Student reports of their confidence levels regarding various bioethical issues were higher than faculty reports. A further disconnect showed up between students’ preferred learning styles and the general faculty’s common teaching methods; students learned more by practicing scientific argumentation than listening to traditional lectures. Students who completed a bioethics course that included practice in scientific argumentation, significantly increased their confidence levels. This study suggests that professors’ expectations and teaching styles influence student confidence levels in both knowledge and scientific argumentation.     

Latent Variable Modeling and Adaptive Testing for Experimental Cognitive Psychopathology Research

The adaptation of experimental cognitive tasks into measures that can be used to quantify neurocognitive outcomes in translational studies and clinical trials has become a key component of the strategy to address psychiatric and neurological disorders. Unfortunately, while most experimental cognitive tests have strong theoretical bases, they can have poor psychometric properties, leaving them vulnerable to measurement challenges that undermine their use in applied settings. Item response theory–based computerized adaptive testing has been proposed as a solution but has been limited in experimental and translational research due to its large sample requirements. We present a generalized latent variable model that, when combined with strong parametric assumptions based on mathematical cognitive models, permits the use of adaptive testing without large samples or the need to precalibrate item parameters. The approach is demonstrated using data from a common measure of working memory—the N-back task—collected across a diverse sample of participants. After evaluating dimensionality and model fit, we conducted a simulation study to compare adaptive versus nonadaptive testing. Computerized adaptive testing either made the task 36% more efficient or score estimates 23% more precise, when compared to nonadaptive testing. This proof-of-concept study demonstrates that latent variable modeling and adaptive testing can be used in experimental cognitive testing even with relatively small samples. Adaptive testing has the potential to improve the impact and replicability of findings from translational studies and clinical trials that use experimental cognitive tasks as outcome measures.