Using saliency maps to separate competing processes in infant visual cognition

This article presents an eye‐tracking study using a novel combination of visual saliency maps and “area‐of‐interest” analyses to explore online feature extraction during category learning in infants. Category learning in 12‐month‐olds (N = 22) involved a transition from looking at high‐saliency image regions to looking at more informative, highly variable object parts. In contrast, 4‐month‐olds (N = 27) exhibited a different pattern displaying a similar decreasing impact of saliency accompanied by a steady focus on the object’s center, indicating that targeted feature extraction during category learning develops across the 1st year of life. These results illustrate how the effects of lower and higher level processes may be disentangled using a combined saliency map and area‐of‐interest analysis.     

Back to beginnings: Credentialism,productivity, and Adam Smith's division of labour

The aim of this article is to examine critically—through a review of human capital and screening theories—the foundation of factional pressures for upgrading educational credentials in the labour market. The article refers back to the writings of Adam Smith to show that not only do the claims of the beneficial and productive social effects of educational upgrading need questioning but that these have been so questioned for more than 200 years.While accepting full responsibility for the views expressed in this article, I would like to acknowledge the advice given to me in the final preparation of the draft by Professors M. Blaug and P. J. Foster.     

Googling in anatomy education: Can google trends inform educators of national online search patterns of anatomical syllabi?

The role of e‐learning platforms in anatomy education continues to expand as self‐directed learning is promoted in higher education. Although a wide range of e‐learning resources are available, determining student use of non‐academic internet resources requires novel approaches. One such approach that may be useful is the Google Trends^© web application. To determine the feasibility of Google Trends to gain insights into anatomy‐related online searches, Google Trends data from the United States from January 2010 to December 2015 were analyzed. Data collected were based on the recurrence of keywords related to head and neck anatomy generated from the American Association of Clinical Anatomists and the Anatomical Society suggested anatomy syllabi. Relative search volume (RSV) data were analyzed for seasonal periodicity and their overall temporal trends. Following exclusions due to insufficient search volume data, 29 out of 36 search terms were analyzed. Significant seasonal patterns occurred in 23 search terms. Thirty‐nine seasonal peaks were identified, mainly in October and April, coinciding with teaching periods in anatomy curricula. A positive correlation of RSV with time over the 6‐year study period occurred in 25 out of 29 search terms. These data demonstrate how Google Trends may offer insights into the nature and timing of online search patterns of anatomical syllabi and may potentially inform the development and timing of targeted online supports to ensure that students of anatomy have the opportunity to engage with online content that is both accurate and fit for purpose. Anat Sci Educ 10: 152–159. © 2016 American Association of Anatomists.     

Understanding teacher design practices for digital inquiry–based science learning: the case of Go-Lab

Designing and implementing online or digital learning material is a demanding task for teachers. This is even more the case when this material is used for more engaged forms of learning, such as inquiry learning. In this article, we give an informed account of Go-Lab, an ecosystem that supports teachers in creating Inquiry Learning Spaces (ILSs). These ILSs are built around STEM–related online laboratories. Within the Go-Lab ecosystem, teachers can combine these online laboratories with multimedia material and learning apps, which are small applications that support learners in their inquiry learning process. The Go-Lab ecosystem offers teachers ready–made structures, such as a standard inquiry cycle, alternative scenarios or complete ILSs that can be used as they are, but it also allows teachers to configure these structures to create personalized ILSs. For this article, we analyzed data on the design process and structure of 2414 ILSs that were (co)created by teachers and that our usage data suggest have been used in classrooms. Our data show that teachers prefer to start their design from empty templates instead of more domain–related elements, that the makeup of the design team (a single teacher, a group of collaborating teachers, or a mix of teachers and project members) influences key design process characteristics such as time spent designing the ILS and number of actions involved, that the characteristics of the resulting ILSs also depend on the type of design team and that ILSs that are openly shared (i.e., published in a public repository) have different characteristics than those that are kept private.