Link2Practice: A Model of Ongoing Teacher and Teacher Candidate Professional Learning

A common complaint about teacher education programs is that it follows a linear model—where theory and teaching skills are learned at the university and then applied in practicum experiences—that is inadequate and does not accurately represent teacher candidates’(TC) experiences (Brouwer & Korthagen, 2005; Korthagen, Loughran & Russell, 2006). Indeed, teacher education programs have long been faced with the challenge of a “theory/practice divide”, creating what has been seen as a mechanistic separation between university programs (where it is implied theory is learned) and the practicum (where it is implied skills and strategies are learned). This divide continues once teacher candidates become teachers in their own classrooms, where the divide further widens by valuing of the practical over the theoretical. We need a new frame of reference to understand teacher education as a whole (throughout a professional career), as emerging from interconnected, non-linear, and at times unpredictable structures. Teacher education programs should form in relation to teacher professional learning, student learning, and the realities of dynamically evolving modern-day schools. In our institutions, the ongoing tension between learning sites of campus and schools is reduced in the teacher education partnership called Link2Practice, where TCs’ courses are integrated in a school district program with teachers who are making inquiries into their practice. This partnership responds to the increasing need for educators to understand and remain current about the interactions between TCs, K-12 public schools’ students and the pedagogy practices, informed by theory, that they advocate. This paper describes the development of the Link2Practice model and discusses its importance for teacher education. Keywords: Teacher education; partnerships; integration; professional learning On reproche souvent aux programmes de formation des enseignants de suivre un modèle linéaire—selon lequel la théorie et les compétences pédagogiques sont acquises à l’université pour ensuite être appliquées pendant les stages—qui est inadéquat et qui ne représente pas avec exactitude les expériences des stagiaires (Brouwer & Korthagen, 2005; Korthagen, Loughran & Russell, 2006). En effet, les programmes de formation des enseignants font face depuis longtemps au défi que représente l’écart entre la théorie et la pratique ayant créé ce qu’on perçoit comme étant une séparation mécaniste entre les programmes universitaires (où il est sous-entendu que les étudiants apprennent la théorie) et les stages (où il est sous-entendu que les étudiants apprennent des habiletés et des stratégies). Cet écart se poursuit quand les stagiaires commencent à enseigner dans leur propre salle de classe et se creuse par la valorisation de la pratique aux dépens de la théorie. Il nous faut un nouveau cadre de référence qui permettra de comprendre la formation des enseignants dans son ensemble (tout au long de la carrière d’enseignant) comme produit de structures interconnectées, non linéaires et parfois imprévisibles. Les programmes de formation des enseignants devraient exister en relation avec le perfectionnement professionnel des enseignants, l’apprentissage des élèves et les réalités des écoles modernes en évolution dynamique. Dans nos institutions, la tension constante entre les deux sites d’apprentissage—le campus et les écoles—est réduit grâce à un partenariat éducatif nommé Link2Practice par lequel les stagiaires sont intégrés dans un programme de district scolaire avec des enseignants qui font enquête sur leur pratique. Ce partenariat répond au besoin croissant qu’ont les enseignants de comprendre les interactions entre les stagiaires, les élèves M-12 des écoles publiques et les pratiques pédagogiques informées par la théorie qu’ils préconisent, et de rester au courant de ces interactions. Cet article décrit le développement du modèle Link2Practice et discute de son importance dans la formation des enseignants. Mots clés : formation des enseignants; partenariats; intégration; perfectionnement professionne

Using chlorhexidine varnish to prevent early childhood caries in American Indian children

Objectives: To test the efficacy of 10% chlorhexidine (CHX) dental varnish applied to the mothers' dentition in preventing caries in American Indian children. Methods: This was a placebo‐controlled, double‐blind, randomized clinical trial. Mother–child pairs were enrolled when the child was 4.5‐6.0 months. Mothers received 4 weekly applications of the study treatment (CHX or placebo) followed by single applications when her child was age 12 and 18 months. Children received caries examinations at enrollment, 12, 18 and 24 months. Analyses were limited to the intent‐to‐treat (ITT) group: children whose mothers received the first study treatment and who received at least one post‐baseline exam. The outcome variable was the number of new carious surfaces (NNCS) at the child's last visit. Wilcoxon nonparametric and Fisher's exact tests were used to test differences between the active and placebo groups. Results: We randomized 414 mother–child pairs, with 367 (88.6%) included in the ITT group (active = 188, placebo = 179). The proportion of children caries‐free at their final exam was 51.1% and 50.8% for the active and placebo groups ( P  > 0.99). The mean NNCS for the active and placebo groups was 3.82 (standard deviation [SD] = 8.18) and 3.80 (SD = 6.08), respectively ( P  = 0.54). The proportion with NNCS > 6 was 18.1% for active children versus 27.9% for placebo (relative risk [RR] = 0.65, P  = 0.03). The number needed to treat to shift one child from NNCS > 6 to a lower severity was 10.2. Conclusions: In this population CHX varnish did not reduce the mean NNCS or proportion of children with caries, but did reduce the proportion with severe caries.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/96744/1/jphd348.pd

A comparison of skinfolds and leg-to-leg bioelectrical impedance for the assessment of body composition in children

BACKGROUND: This field-based investigation examined the congruence between skinfolds and bioelectrical impedance in assessing body composition in children. METHODS: Subjects were 162 female and 160 male children 10–15 years of age. Skinfold measures obtained at the triceps and medial calf and a leg-to-leg bioelectrical impedance system were used to determine percent fat using child-specific equations. Pearson product moment correlations were performed on the percent fat values obtained using skinfolds and bioelectric impedance for the entire data set. Separate correlations were also conducted on gender and age/gender subsets. Dependent t tests were used to compare the two techniques. RESULTS: Percent fat did not differ between skinfolds and bioelectrical impedance for the total subject pool. Bioelectrical impedance overestimated percent fat in girls by 2.6% and underestimated percent fat in boys by 1.7% (p < 0.01). Correlations between skinfolds and bioelectrical impedance ranged from r = 0.51 to r = 0.90. CONCLUSIONS: Leg-to-leg bioelectrical impedance may be a viable alternative field assessment technique that is comparable to skinfolds. The small differences in percent fat between the two techniques may have limited practical significance in school-based health-fitness settings

A comparison of skinfolds and leg-to-leg bioelectrical impedance for the assessment of body composition in children

BACKGROUND: This field-based investigation examined the congruence between skinfolds and bioelectrical impedance in assessing body composition in children. METHODS: Subjects were 162 female and 160 male children 10–15 years of age. Skinfold measures obtained at the triceps and medial calf and a leg-to-leg bioelectrical impedance system were used to determine percent fat using child-specific equations. Pearson product moment correlations were performed on the percent fat values obtained using skinfolds and bioelectric impedance for the entire data set. Separate correlations were also conducted on gender and age/gender subsets. Dependent t tests were used to compare the two techniques. RESULTS: Percent fat did not differ between skinfolds and bioelectrical impedance for the total subject pool. Bioelectrical impedance overestimated percent fat in girls by 2.6% and underestimated percent fat in boys by 1.7% (p < 0.01). Correlations between skinfolds and bioelectrical impedance ranged from r = 0.51 to r = 0.90. CONCLUSIONS: Leg-to-leg bioelectrical impedance may be a viable alternative field assessment technique that is comparable to skinfolds. The small differences in percent fat between the two techniques may have limited practical significance in school-based health-fitness settings

Reservoir Computing with Delayed Input for Fast and Easy Optimization

Reservoir computing is a machine learning method that uses the response of a dynamical system to a certain input in order to solve a task. As the training scheme only involves optimising the weights of the responses of the dynamical system, this method is particularly suited for hardware implementation. Furthermore, the inherent memory of dynamical systems which are suitable for use as reservoirs mean that this method has the potential to perform well on time series prediction tasks, as well as other tasks with time dependence. However, reservoir computing still requires extensive task dependent parameter optimisation in order to achieve good performance. We demonstrate that by including a time-delayed version of the input for various time series prediction tasks, good performance can be achieved with an unoptimised reservoir. Furthermore, we show that by including the appropriate time-delayed input, one unaltered reservoir can perform well on six different time series prediction tasks at a very low computational expense. Our approach is of particular relevance to hardware implemented reservoirs, as one does not necessarily have access to pertinent optimisation parameters in physical systems but the inclusion of an additional input is generally possible

Reservoir Computing with Delayed Input for Fast and Easy Optimisation

Reservoir computing is a machine learning method that solves tasks using the response of a dynamical system to a certain input. As the training scheme only involves optimising the weights of the responses of the dynamical system, this method is particularly suited for hardware implementation. Furthermore, the inherent memory of dynamical systems which are suitable for use as reservoirs mean that this method has the potential to perform well on time series prediction tasks, as well as other tasks with time dependence. However, reservoir computing still requires extensive task-dependent parameter optimisation in order to achieve good performance. We demonstrate that by including a time-delayed version of the input for various time series prediction tasks, good performance can be achieved with an unoptimised reservoir. Furthermore, we show that by including the appropriate time-delayed input, one unaltered reservoir can perform well on six different time series prediction tasks at a very low computational expense. Our approach is of particular relevance to hardware implemented reservoirs, as one does not necessarily have access to pertinent optimisation parameters in physical systems but the inclusion of an additional input is generally possible

Reservoir Computing with Delayed Input for Fast and Easy Optimization

Reservoir computing is a machine learning method that solves tasks using the response of a dynamical system to a certain input. As the training scheme only involves optimising the weights of the responses of the dynamical system, this method is particularly suited for hardware implementation. Furthermore, the inherent memory of dynamical systems which are suitable for use as reservoirs mean that this method has the potential to perform well on time series prediction tasks, as well as other tasks with time dependence. However, reservoir computing still requires extensive task-dependent parameter optimisation in order to achieve good performance. We demonstrate that by including a time-delayed version of the input for various time series prediction tasks, good performance can be achieved with an unoptimised reservoir. Furthermore, we show that by including the appropriate time-delayed input, one unaltered reservoir can perform well on six different time series prediction tasks at a very low computational expense. Our approach is of particular relevance to hardware implemented reservoirs, as one does not necessarily have access to pertinent optimisation parameters in physical systems but the inclusion of an additional input is generally possible

MicroRNA 146a (miR-146a) Is Over-Expressed during Prion Disease and Modulates the Innate Immune Response and the Microglial Activation State

Increasing evidence supports the involvement of microRNAs (miRNAs) in inflammatory and immune processes in prion neuropathogenesis. MiRNAs are small, non-coding RNA molecules which are emerging as key regulators of numerous cellular processes. We established miR-146a over-expression in prion-infected mouse brain tissues concurrent with the onset of prion deposition and appearance of activated microglia. Expression profiling of a variety of central nervous system derived cell-lines revealed that miR-146a is preferentially expressed in cells of microglial lineage. Prominent up-regulation of miR-146a was evident in the microglial cell lines BV-2 following TLR2 or TLR4 activation and also EOC 13.31 via TLR2 that reached a maximum 24–48 hours post-stimulation, concomitant with the return to basal levels of transcription of induced cytokines. Gain- and loss-of-function studies with miR-146a revealed a substantial deregulation of inflammatory response pathways in response to TLR2 stimulation. Significant transcriptional alterations in response to miR-146a perturbation included downstream mediators of the pro-inflammatory transcription factor, nuclear factor-kappa B (NF-κB) and the JAK-STAT signaling pathway. Microarray analysis also predicts a role for miR-146a regulation of morphological changes in microglial activation states as well as phagocytic mediators of the oxidative burst such as CYBA and NOS3. Based on our results, we propose a role for miR-146a as a potent modulator of microglial function by regulating the activation state during prion induced neurodegeneration

Sea urchin vault structure, composition, and differential localization during development

BACKGROUND: Vaults are intriguing ribonucleoprotein assemblies with an unknown function that are conserved among higher eukaryotes. The Pacific coast sea urchin, Strongylocentrotus purpuratus, is an invertebrate model organism that is evolutionarily closer to humans than Drosophila and C. elegans, neither of which possesses vaults. Here we compare the structures of sea urchin and mammalian vaults and analyze the subcellular distribution of vaults during sea urchin embryogenesis. RESULTS: The sequence of the sea urchin major vault protein (MVP) was assembled from expressed sequence tags and genome traces, and the predicted protein was found to have 64% identity and 81% similarity to rat MVP. Sea urchin MVP includes seven ~50 residue repeats in the N-terminal half of the protein and a predicted coiled coil domain in the C-terminus, as does rat MVP. A cryoelectron microscopy (cryoEM) reconstruction of isolated sea urchin vaults reveals the assembly to have a barrel-shaped external structure that is nearly identical to the rat vault structure. Analysis of the molecular composition of the sea urchin vault indicates that it contains components that may be homologs of the mammalian vault RNA component (vRNA) and protein components (VPARP and TEP1). The sea urchin vault appears to have additional protein components in the molecular weight range of 14–55 kDa that might correspond to molecular contents. Confocal experiments indicate a dramatic relocalization of MVP from the cytoplasm to the nucleus during sea urchin embryogenesis. CONCLUSIONS: These results are suggestive of a role for the vault in delivering macromolecules to the nucleus during development