Different approaches to classroom environments based on teacher experience and effectiveness

The purpose of this qualitative instrumental case study was to continue looking at the differences in classroom environments for different levels of teachers. Specifically, we wanted to focus on teacher perspectives of classroom management, relationships with students, motivating students, student risk-taking within the classroom, and student self-regulation. The three levels we looked at for this study included highly effective teachers, proficient teachers who have taught for more than 3 years, and new/developing teachers. The results found three major themes with differences in how teachers at each level approached classroom management, relationships with students, and student behaviors within the classroom. The student behaviors within the classroom included self-regulation and risk-taking. The results of this study provide researchers more information regarding the different stages of teaching, information to schools on ways to mentor teachers at each level of teaching, and information to teacher preparation programs on ways to help preservice teachers prepare for the classroom.     

Wallowing in Media Past: Media-Induced Nostalgia’s Connection to Parasocial Relationships

This article elaborates on media-induced nostalgia as a mixed emotion elicited by remembering past media content and characters. It argues that social components of media consumption such as parasocial relationships (PSRs) play an important part in the elicitation of nostalgia. In an online study, participants (N = 96) remembered their individual media use and preferred media characters as children. Results show that media-induced nostalgia is significantly associated with PSRs to characters in the past. These findings are evaluated concerning their implications for future research on nostalgia and PSRs.     

Influence of physiological characteristics on selection in a semi-professional first grade rugby league team: a case study

The aim of this study was to determine whether the physiological characteristics of players influence selection in a semi-professional first grade rugby league team. Sixty-six semi-professional rugby league players aged 24 - 4 years (mean - s ) were monitored over two competitive seasons. The players underwent measurements of body mass, muscular power (vertical jump), speed (10, 20, 30 and 40 m sprint), agility (Illinois agility run) and estimated maximal aerobic power (multi-stage fitness test) 1 week before their first competition match. After selection for either the first or second grade team, the results of all physiological tests were collated and analysed to determine if there were any physiological differences between players selected for the two teams. Players selected to play in the first grade team were significantly ( P ? 0.05) older (25 - 4 vs 22 - 4 years) and heavier (93 - 10 vs 86 - 10 kg) and had more playing experience (18 - 6 vs 15 - 6 years) than second grade players. Muscular power, speed, agility and estimated maximal aerobic power were not significantly different ( P > 0.05) between first grade and second grade players. These results suggest that the physiological capacities of players do not influence selection in a semi-professional first grade rugby league team. Rather, player selection appears to be based on body mass, playing experience and skill. These results support the need for a standardized skills performance test for semi-professional rugby league players.     

Improving energy expenditure estimates from wearable devices: A machine learning approach

ABSTRACT

A means of quantifying continuous, free-living energy expenditure (EE) would advance the study of bioenergetics. The aim of this study was to apply a non-linear, machine learning algorithm (random forest) to predict minute level EE for a range of activities using acceleration, physiological signals (e.g., heart rate, body temperature, galvanic skin response), and participant characteristics (e.g., sex, age, height, weight, body composition) collected from wearable devices (Fitbit charge 2, Polar H7, SenseWear Armband Mini and Actigraph GT3-x) as potential inputs. By utilising a leave-one-out cross-validation approach in 59 subjects, we investigated the predictive accuracy in sedentary, ambulatory, household, and cycling activities compared to indirect calorimetry (Vyntus CPX). Over all activities, correlations of at least r = 0.85 were achieved by the models. Root mean squared error ranged from 1 to 1.37 METs and all overall models were statistically equivalent to the criterion measure. Significantly lower error was observed for Actigraph and Sensewear models, when compared to the manufacturer provided estimates of the Sensewear Armband (p < 0.05). A high degree of accuracy in EE estimation was achieved by applying non-linear models to wearable devices which may offer a means to capture the energy cost of free-living activities.     

Determinants of sales and price at auction for three Australian Indigenous artists: to pool or not to pool?

Albert Namatjira (1902–1959), Emily Kame Kngwarreye (c1910–1996) and Rover (Julama) Thomas (c1926–1998) are three of Australia’s best-known Indigenous artists. Each is known for one style of painting—Namatjira for watercolor on paper, Kngwarreye for acrylic (synthetic polymer) on canvas and Thomas for natural earth pigments on canvas. We estimate a sample selectivity model using data from the Australian Art Sales Digest to study the determinants of sales and the hammer price of artworks offered at auction from these artists. The results show that pre-sale information on the artwork and auction effects are significant and that the three artists studied are very different from each other. Thus, data should not be pooled when estimating these models.