Cognitive ability and the instructional efficacy of collaborative concept mapping

Data were gathered from 248 secondary students (14 years old, 56% female) who learned about the circulatory system in 77 self-selected collaborative groups. The learning outcomes of biology students who summarised by collaborative concept mapping were compared with those of students who summarised by collaborative writing. Learning groups randomly assigned to construct concept maps instead of conventional summaries generated more relations in the summary task and their members obtained higher individual scores on a post-test. The concept mapping strategy was found to be advantageous only for students whose cognitive ability was below the median for the sample and who were placed in groups with other students having low cognitive ability.     

Redefining Student Success: Applying Different Multinomial Regression Techniques for the Study of Student Graduation Across Institutions of Higher Education

Current definitions of retention and graduation rates distort the picture of student success by limiting it to completion of a degree at the institution of entry. By incorporating data from the National Student Clearinghouse (NSC), a clearer picture emerges. The NSC data captures retention and graduation at both entry and transfer institutions. To accommodate this polychotomous definition of success, more sophisticated methods of modeling limited dependent variables are needed. Though multinomial logit is often considered the most accessible method, the strict assumptions it imposes may be inappropriate. We therefore compare multinomial regression techniques to assess their utility in modeling multi-institutional student success.     

Stimuli that signal the absence of reinforcement are paid more attention than are irrelevant stimuli

According to established theories of attention (e.g., Mackintosh, 1975; Sutherland & Mackintosh, 1971), simple discriminations of the form AX+ BX- result in an increase in attention to stimuli A and B, which are relevant to the outcome that follows them, at the expense of X, which is irrelevant. Experiments that have apparently shown such changes in attention have failed to determine whether attention is enhanced to both A and B, which signal reinforcement and nonreinforcement, respectively, or just to A. In Experiments 1 and 2, pigeons were trained with a number of discriminations of the kind AX+ BX-, before compounds that had been consistently nonreinforced were involved in a subsequent discrimination. Both experiments provided support for theories that propose that more attention is paid to stimuli that consistently signal nonreinforcement than to irrelevant stimuli in simple discriminations.     

The impact of curriculum change on health sciences first year students’ approaches to learning

This study aimed to use a learning inventory (the Approaches and Study Skills Inventory for Students, ASSIST) to measure the impact of a curriculum change on students’ approaches to learning in two large courses in a health sciences first year programme. The two new Human Body Systems (HUBS) courses were designed to encourage students to take a deep approach to learning. ASSIST was completed by 599 students enrolled in a biology class in 2006 that was part of the old curriculum, and by 705 students at the beginning and end of the new HUBS courses in 2007. Changes in students’ approaches to learning over time were examined. The ASSIST scores for both HUBS courses reflected the dominance of a surface approach, followed by a strategic and then a deep approach. However, by the end of the year, students were taking a deep and strategic approach to their studies to a greater extent, and a surface approach to a lesser extent. Moreover, students enrolled in the new course adopted a deep approach to their studies to a significantly greater degree than those studying the old curriculum. Despite the predominance of a surface approach, the results suggest that it is possible to bring about small but significant positive changes in students’ learning behaviour in a very large class through curriculum change. The proportion of students preferring a surface approach, and results showing that high performance on the final exam was significantly correlated with a surface approach, probably reflected contextual factors, including assessment, and is the focus of ongoing curriculum development.     

Sex Differences on the SAT: An Analysis of Demographic and Educational Variables

In comparing the average scores for men and women on the Scholastic Aptitude Test (SAT, since revised and renamed as the Scholastic Assessment Test), sex differences in demographic and educational variables that influence test performance are usually ignored. In this study of 69,284 high school seniors (12th graders) who took the SAT in November of 1990, self-reported background information was used to compute adjusted scores for men and for women. On the Verbal section, the difference in observed means was 4.68 points while the difference in adjusted means was 9.87 points. On the Mathematical section, the difference in observed means was 45.38 points but the difference in adjusted means was 33.76 points (a reduction of over 25%). In all comparisons, the mean was higher for men than for women. It is argued that adjusted means may provide more appropriate comparisons of the performance of men and women on the SAT depending on the type of comparison to be made.     

Using New Proximity Measures With Hierarchical Cluster Analysis to Detect Multidimensionality

A new approach for partitioning test items into dimensionally distinct item clusters is introduced. The core of the approach is a new item-pair conditional-covariance-based proximity measure that can be used with hierarchical cluster analysis. An extensive simulation study designed to test the limits of the approach indicates that when approximate simple structure holds, the procedure can correctly partition the test into dimensionally homogeneous item clusters even for very high correlations between the latent dimensions. In particular, the procedure can correctly classify (on average) over 90% of the items for correlations as high as .9. The cooperative role that the procedure can play when used in conjunction with other dimensionality assessment procedures is discussed.