The Relation between Students’ Epistemological Understanding of Computer Models and their Cognitive Processing on a Modelling Task

While many researchers in science education have argued that students’ epistemological understanding of models and of modelling processes would influence their cognitive processing on a modelling task, there has been little direct evidence for such an effect. Therefore, this study aimed to investigate the relation between students’ epistemological understanding of models and modelling and their cognitive processing (i.e., deep versus surface processing) on a modelling task. Twenty‐six students, working in dyads, were observed while working on a computer‐based modelling task in the domain of physics. Students’ epistemological understanding was assessed on four dimensions (i.e., nature of models, purposes of models, process of modelling, and evaluation of models). Students’ cognitive processes were assessed based on their verbal protocols, using a coding scheme to classify their types of reasoning. The outcomes confirmed the expected positive correlation between students’ level of epistemological understanding and their deep processing (r = 0.40, p = .04), and the negative correlation between level of epistemological understanding and surface processing (r = ?0.51, p = .008). From these results, we emphasise the necessity of considering epistemological understanding in research as well as in educational practice.     

The role of the university tutor in school-based work in primary schools in Northern Ireland and the Republic of Ireland

There has been much international debate on the role of the university tutor in the supervision of student teachers during school-based work. This study focuses upon the Irish context, where there has been little research. It involves a comparative study of the views and attitudes of university staff, student teachers and class teachers from the Irish Republic and Northern Ireland. Data collection methods comprised questionnaires to university tutors, class teachers and students (n = 150), focus groups and one-to-one interviews. This project reveals a reservoir of goodwill between tutors, teachers and students, along with a willingness to engage in dialogue and collaboration. Importantly, this study concludes that it is the university tutor who should have the lead role in collaborative models of school-based work partnership, with significant consultation and input from the class teacher and consultation with the student in the evaluation process.     

The Mental Health Status of Law Students: Implications for College Counselors

The purpose of this study was to describe law students' psychological symptoms, assess the role of law school stress in students' symptoms, and suggest ways college counselors can help this population. More than half of the 316 participants displayed symptoms of depression and psychological distress, and nearly half showed symptoms of anxiety. Law school stressors significantly predicted students' symptoms. Workload, peers, and low instrumental support most impacted students, thus providing specific directions and implications for college counselors.     

Automatic tracing and segmentation of rat mammary fat pads in MRI image sequences based on cartoon-texture model

The growth patterns of mammary fat pads and glandular tissues inside the fat pads may be related with the risk factors of breast cancer.Quantitative measurements of this relationship are available after segmentation of mammary pads and glandular tissues.Rat fat pads may lose continuity along image sequences or adjoin similar intensity areas like epidermis and subcutaneous regions.A new approach for automatic tracing and segmentation of fat pads in magnetic resonance imaging (MRI) image sequences is presented,which does not require that the number of pads be constant or the spatial location of pads be adjacent among image slices.First,each image is decomposed into cartoon image and texture image based on cartoon-texture model.They will be used as smooth image and feature image for segmentation and for targeting pad seeds,respectively.Then,two-phase direct energy segmentation based on Chan-Vese active contour model is applied to partitioning the cartoon image into a set of regions,from which the pad boundary is traced iteratively from the pad seed.A tracing algorithm based on scanning order is proposed to accurately trace the pad boundary,which effectively removes the epidermis attached to the pad without any post processing as well as solves the problem of over-segmentation of some small holes inside the pad.The experimental results demonstrate the utility of this approach in accurate delineation of various numbers of mammary pads from several sets of MRI images.