Determining the informational,navigational, and transactional intent of Web queries

In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, navigational, and transactional intent. After deriving attributes of each, we then developed a software application that automatically classified queries using a Web search engine log of over a million and a half queries submitted by several hundred thousand users. Our findings show that more than 80% of Web queries are informational in nature, with about 10% each being navigational and transactional. In order to validate the accuracy of our algorithm, we manually coded 400 queries and compared the results from this manual classification to the results determined by the automated method. This comparison showed that the automatic classification has an accuracy of 74%. Of the remaining 25% of the queries, the user intent is vague or multi-faceted, pointing to the need for probabilistic classification. We discuss how search engines can use knowledge of user intent to provide more targeted and relevant results in Web searching.     

The Role of Executive Functions in Socioeconomic Attainment Gaps: Results From a Randomized Controlled Trial

The socioeconomic attainment gap in mathematics starts early and increases over time. This study aimed to examine why this gap exists. Four-year-olds from diverse backgrounds were randomly allocated to a brief intervention designed to improve executive functions (N = 87) or to an active control group (N = 88). The study was preregistered and followed CONSORT guidelines. Executive functions and mathematical skills were measured at baseline, 1 week, 3 months, 6 months, and 1 year posttraining. Executive functions mediated the relation between socioeconomic status and mathematical skills. Children improved over training, but this did not transfer to untrained executive functions or mathematics. Executive functions may explain socioeconomic attainment gaps, but cognitive training directly targeting executive functions is not an effective way to narrow this gap.     

Predicting second language writing proficiency: the roles of cohesion and linguistic sophistication

This study addresses research gaps in predicting second language (L2) writing proficiency using linguistic features. Key to this analysis is the inclusion of linguistic measures at the surface, textbase and situation model level that assess text cohesion and linguistic sophistication. The results of this study demonstrate that five variables (lexical diversity, word frequency, word meaningfulness, aspect repetition and word familiarity) can be used to significantly predict L2 writing proficiency. The results demonstrate that L2 writers categorised as highly proficient do not produce essays that are more cohesive, but instead produce texts that are more linguistically sophisticated. These findings have important implications for L2 writing development and L2 writing pedagogy.     

Articulation and Transfer for Career and Technical Students: Best Practices for Dealing with Real and Perceived Barriers to Baccalaureate Degree Attainment for Applied Science Students

ABSTRACT

Community colleges produce large numbers of high quality graduates from career and technical programs. These programs are often of high academic rigor and quality. However, most universities view these Applied Associates of Science (AAS) as being terminal associate's degrees that are not appropriate for transfer. Regional accrediting standards are often cited as the reason for this differentiation. The reality is that institutional policies often simply dismiss AAS courses by their prefix to simplify the process. This study and presentation will explore the reality of what is allowed by accrediting bodies in transferring AAS courses and best practices for facilitating the maximum allowable course transfer.     

Evaluation of an innovative hands‐on anatomy‐centered ultrasound curriculum to supplement graduate gross anatomy education

Ultrasound (US) can enhance anatomy education, yet is incorporated into few non‐medical anatomy programs. This study is the first to evaluate the impact of US training in gross anatomy for non‐medical students in the United States. All 32 master's students enrolled in gross anatomy with the anatomy‐centered ultrasound (ACUS) curriculum were recruited. Mean Likert ratings on pre‐ and post‐course surveys (100% response rates) were compared to evaluate the effectiveness of the ACUS curriculum in developing US confidence, and gauge its impact on views of US. Post‐course, students reported significantly higher (P < 0.001) mean confidence ratings in five US skills (pre‐course versus post‐course mean): obtaining scans (3.13 ±1.04 versus 4.03 ±0.78), optimizing images (2.78 ±1.07 versus 3.75 ±0.92), recognizing artifacts (2.94 ±0.95 versus 3.97 ±0.69), distinguishing tissue types (2.88 ±0.98 versus 4.09 ±0.69), and identifying structures (2.97 ±0.86 versus 4.03 ±0.59), demonstrating the success of the ACUS curriculum in students with limited prior experience. Views on the value of US to anatomy education and to students' future careers remained positive after the course. End‐of‐semester quiz performance (91% response rate) provided data on educational outcomes. The average score was 79%, with a 90% average on questions about distinguishing tissues/artifacts, demonstrating positive learning outcomes and retention. The anatomy‐centered ultrasound curriculum significantly increased confidence with and knowledge of US among non‐medical anatomy students with limited prior training. Non‐medical students greatly value the contributions that US makes to anatomy education and to their future careers. It is feasible to enhance anatomy education outside of medical training by incorporating US. Anat Sci Educ 10: 348–362. © 2016 American Association of Anatomists.     

Using item response theory to describe the Nonverbal Literacy Assessment (NVLA)

The Nonverbal Literacy Assessment (NVLA) is a literacy assessment designed for students with significant intellectual disabilities. The 218‐item test was initially examined using confirmatory factor analysis. This method showed that the test worked as expected, but the items loaded onto a single factor. This article uses item response theory to investigate the NVLA using Rasch models. First, we reduced the number of items using a unidimensional model, which resulted in high levels of test reliability despite decreasing the number of questions, providing the same information about student abilities in less time. Second, the multidimensional analysis indicated that it is possible to view the NVLA as a test with four dimensions, resulting in more detailed information about student abilities. Finally, we combined these approaches to obtain both specificity and brevity, with a four‐dimensional model using 133 items from the original NVLA.     

Improving homework accuracy: Interdependent group contingencies and randomized components

Homework is an often employed teaching strategy that has strong positive effects on academic achievement across grade levels, content areas, and student ability levels. To maximize academic learning, accuracy of homework should be addressed. The present investigation employed a multiple‐baseline design across academic behaviors to examine the efficacy of randomization of the interdependent group contingency on the homework accuracy of six fourth‐grade students enrolled in a general education class. Results demonstrated that the interdependent group contingency coupled with randomly selected components improved accuracy of homework performance. Specifically, participants demonstrated gains in all three subject areas. Limitations and future research are also addressed. © 2009 Wiley Periodicals, Inc.