Attitudes of Business Faculty Towards Two Methods of Collecting Teaching Evaluations: Paper vs. Online

Business professors were surveyed to determine their attitudes towards two methods of collecting students' teaching evaluations of faculty--the traditional paper-and-pencil method conducted in class and the online method conducted via the Internet. Faculty preferred the traditional paper method, mainly because they believed it would produce a higher and more accurate response than the online method. Faculty characteristics were examined to determine whether they were related to attitudes towards the online method of collecting teaching evaluations. No characteristics were found to be significantly associated with attitudes towards the online method. Suggestions for future researchers are offered.     

Mobile Agents for Distributed and Heterogeneous Information Retrieval

The heterogeneous, distributed and voluminous nature of many government and corporate data sources impose severe constraints on meeting the diverse requirements of users who analyze the data. Additionally, communication bandwidth limitations, time constraints, and multiple data formats impose further restrictions on users of these distributed data sources. In this paper, we present an Agent-based Complex QUerying and Information Retrieval Engine (ACQUIRE) for large, heterogeneous, and distributed data sources. ACQUIRE acts as a softbot or interface agent by presenting users with a view of a single, unified, homogenous data source, against which users can pose high-level declarative queries. ACQUIRE translates each such user query into a set of sub-queries by employing a combination of planning and traditional database query optimization techniques. ACQUIRE then spawns a set of mobile agents corresponding to these sub-queries, which in turn retrieve the data from various distributed data sources by dynamically optimizing the retrieval strategy as it is carried out. These mobile agents carry with them data-processing code that can be executed at the remote site, thus reducing the size of data returned by the agent. When all mobile agents have returned, ACQUIRE filters and merges the retrieved data and presents the results to the user. While the system is still very much a work in progress, current validation experiments on simulated NASA Distributed Active Archive Centers (DAACs) have demonstrated that complex queries can be effectively decomposed and retrieved by this approach.     

Vocabulary does not complicate the simple view of reading

Gough and Tunmer’s (1986) simple view of reading (SVR) proposed that reading comprehension (RC) is a function of language comprehension (LC) and word recognition/decoding. Braze et al. (2007) presented data suggesting an extension of the SVR in which knowledge of vocabulary (V) affected RC over and above the effects of LC. Tunmer and Chapman (2012) found a similar independent contribution of V to RC when the data were analyzed by hierarchical regression. However, additional analysis by factor analysis and structural equation modeling indicated that the effect of V on RC was, in fact, completely captured by LC itself and there was no need to posit a separate direct effect of V on RC. In the present study, we present new data from young adults with sub-optimal reading skill (N = 286). Latent variable and regression analyses support Gough and Tunmer’s original proposal and the conclusions of Tunmer and Chapman that V can be considered a component of LC and not an independent contributor to RC.     

Computers and language learning: misguided assumptions

There has been a rapid increase in the availability of computer assisted instruction (CAI) software for teaching oral language skills. Despite the growing popularity of CAI in education, such an approach to language teaching fragments and isolates language learning from the context of its use and conflicts with current theory and research in language development and learning. The greatest potential for microcomputers in language learning may be as a medium for increasing student opportunities for using language by bringing students and teachers together around a shared activity.     

The persistence of preschool effects: Do subsequent classroom experiences matter?

Using rich longitudinal data from the Early Childhood Longitudinal Study-Kindergarten cohort (ECLS-K), we find that children who attended preschool enter public schools with higher levels of academic skills than their peers who experienced other types of child care (effect size of .14). This study considers the circumstances under which the preschool advantage persists, that is, the types of classrooms in which students who did not attend preschool “catch up” to their counterparts who did. Specifically, we focus on two dimensions of the early school environment—class size and the level of academic instruction provided. The findings suggest that most of the preschool-related gap in academic skills at school entry is quickly eliminated for children placed in small classrooms and classrooms providing high levels of reading instruction. Conversely, the initial disparities persist for children experiencing large classes and lower levels of reading instruction. These results point out that the longer-term effects of early childhood experience partly depend on classroom experiences during at least the first years of school.     

Self-regulatory climate: A positive attribute of public schools

This study contributes to the development of a positive framework for effective public schools in 2 ways. First, it advances the construct self-regulatory climate as consisting of 3 generative school norms—collective faculty trust in students, collective student trust in teachers, and student-perceived academic emphasis. The authors argue these norms signal a school climate supportive of student psychological needs. Second, they test the predictive validity of self-regulatory climate by empirically examining its relationship with school performance. Results of structural equation modeling support the theory that collective faculty trust in students, collective student trust in teachers, and student-perceived academic emphasis combine to form a self-regulatory climate that has positive consequences for urban school performance.     

Prenatal Maternal Stress,Child Cortical Thickness,and Adolescent Depressive Symptoms

Prenatal maternal stress predicts subsequent elevations in youth depressive symptoms, but the neural processes associated with these links are unclear. This study evaluated whether prenatal maternal stress is associated with child brain development, and adolescent depressive symptoms using a prospective design with 74 mother child pairs (40 boys). Maternal stress was assessed during pregnancy, child cortical thickness at age 7, and depressive symptoms at age 12. Prenatal maternal stress was associated with less cortical thickness primarily in frontal and temporal regions and with elevated depressive symptoms; child cortical thickness additionally correlated with adolescent depressive symptoms. The observed associations are consistent with the possibility that cortical thickness in superior frontal regions links associations between prenatal maternal stress and adolescent depressive symptoms.     

The 2000 Cohort of New Assistant Professors of Counselor Education: Year 3

This article is the 3rd in a series that has been focused on the experiences of assistant professors of counselor education who were at the conclusion of their 3rd year in the profession. Thirty‐six participants provided information about their experiences, sources of pleasure and displeasure, professional contributions, areas of change, and expectations for tenure and promotion. Prominent themes that emerged from the data included mentoring, balance and family focus, and scholarship. Recommendations are presented for counselor educators‐in‐training, candidates, new counselor educators (CEs), and veteran CEs.