No abstract

No abstract

Análisis de metáforas conceptuales sobre la imagen social del profesorado en estudiantes de pedagogía 1 Conceptual metaphor analysis of teacher's social images in pre-service teachers

iEngage© is a modular health education and behavioural change program designed to provide adolescents with knowledge and practical skills and to help them moderate to vigorous physical activity (MVPA). Key features of the program include the iEngage© app which integrates learning modules with activity trackers data (Misfit Ray©), evidence-based health information, guidance through goals setting, self-monitoring, assessment of achievements, and experiential learning supported by the activity trackers. iEngage© was implemented in school context in 10–12 years old adolescents over 5 weeks involving 10 learning and behavioural change modules and continuous monitoring of steps. Results show that adolescents effectively set goals and self-assessed achievements during the program, progressing toward higher activity levels. Daily steps increased through the program (+ 30% or + 2647 steps/day) as well as the consistency of days totalling at least 11,000 steps/day (from 35% at the beginning to 48% at the end of the program). Average schooldays MVPA was assessed pre- and post- via research grade GENEActiv wrist accelerometers in iEngage and control participants. Contrasting with the control group, MVPA increased after the program ( ~ + 5 min/day) in short bouts, particularly during lunch time, recess and after school. Girls were found less active than boys and progressed goals and PA achievements less than boys during the program. The iEngage© program and its digital app, incorporates experiential learning, goals setting, self-monitoring and self-assessment of PA, and effectively helped young adolescents enhance PA and build up MVPA in daily life.

No abstract

INVESTIGACIONES * Este estudio se inserta en los proyectos: "Investigación del conocimiento profesional, las creencias implícitas y el desempeño en aula de estudiantes de Pedagogía en Inglés como estrategia de generación de indicadores de monitoreo de su proceso formativo" (FONDECYT Nº 1120247); "Chilean Student-teachers' Metaphors about the Role of Teachers as Professionals" (Association for Researching and Applying Metaphor). Conceptualizaciones metafóricas sobre el rol del profesor en estudiantes de pedagogía * Pre-service Metaphorical Representations on Teacher's Role Conceitualizações metafóricas sobre o papel do professor produzidas por estudantes de pedagogia

No abstract

Wearable accelerometers record physical activity with high resolution, potentially capturing the rich details of behaviour changes and habits. Detecting these changes as they emerge is valuable information for any strategy that promotes physical activity and teaches healthy behaviours or habits. Indeed, this offers the opportunity to provide timely feedback and to tailor programmes to each participant’s needs, thus helping to promote the adherence to and the effectiveness of the intervention. This article presents and illustrates U-BEHAVED, an unsupervised algorithm that periodically scans step data streamed from activity trackers to detect physical activity behaviour changes to assess whether they may become habitual patterns. Using rolling time windows, current behaviours are compared with recent previous ones, identifying any significant change. If sustained over time, these new behaviours are classified as potentially new habits. We validated this detection algorithm using a physical activity tracker step dataset (N = 12,798) from 79 users. The algorithm detected 80% of behaviour changes of at least 400 steps within the same hour in users with low variability in physical activity, and of 1600 steps in those with high variability. Based on a threshold cadence of approximately 100 steps per minute for standard walking pace, this number of steps would suggest approximately 4 and 16 min of physical activity at moderate-to-vigorous intensity, respectively. The detection rate for new habits was 80% with a minimum threshold of 500 or 1600 steps within the same hour in users with low or high variability, respectively.