Systems model and individual simulations of training strategies in elite short-track speed skaters

This study aimed to evaluate the effect of simulated training strategies on performance potential in elite short-track speed skaters. Training load and field-based criterion performances from fifteen athletes (10 males, 5 females) were collected over a 3-month training period and the relationship between training loads and performance was computed with a variable dose-response model using a genetic algorithm. Individual simulations of tapers preceded or not preceded by an overload training (OT) were assessed. We obtained a significant correlation between actual and modelled performances (R² = 0.76 ± 0.07). Regarding model parameters, no significant difference was found between males and females but the time to recover performance tended to be lower in females. Simulations in which the taper parameters were free highlighted that an exponential or a step taper were the most effective for increasing performance compared to a linear taper (p < 0.05). Optimal exponential taper duration after OT was 10.7 ± 2.4d and the optimal load reduction was 75.9 ± 3.7%. OT intensity had the greatest influence on the predicted performance, followed by OT duration, taper decay, and to a lesser extent load reduction during taper and taper duration. Thus, a variable dose-response systems model allows the evaluation of different taper strategies and their potential effect on performance changes.     

Space matters: framing the New Zealand learning landscape

Learning Environments Research - Significant funding is devoted across the world to transforming traditional classrooms into flexible learning environments. These efforts are&nbsp;often...     

Multiliteracies in Practice: Integrating Multimodal Production Across the Curriculum

Supported by ever-evolving digital tools and online spaces, we argue that multiliteracies can be used to close the gap between teacher-directed, individual, and assessment-driven learning, and authentic, shared, and purpose-driven learning. This is particularly evident through multimodal composition and collaboration in primary classrooms. Over two decades ago, the New London Group argued that all meaning-making is multimodal. By representing their knowledge through multiple modes and for local and global audiences, students can express their identity, exercise agency, and foster a sense of authoring through multimodal production.     

Moving across physical and online spaces: a case study in a blended primary classroom

With the introduction of digital tools and online connectivity in primary schools, the shape of teaching and learning is shifting beyond the physical classroom. Drawing on the architecture of productive learning networks framework, we examine the affordances and limitations of an upper primary learning network and focus on how the digital and physical elements involved in set design shape teachers' pedagogical approaches and students' learning processes. The findings suggest that blended spaces support teachers' distributed orchestration of classroom activities across tools and resources while also leveraging students' engagement in reciprocal teaching and collaborative learning.