Structural validation of three German versions of behavioral and motivational scales in high-risk sports

The aim of the present research was to validate German language versions of three inventories in high-risk sports to facilitate future research in the significant population of German speaking high-risk sports participants. We translated the Sensation Seeking, Emotion Regulation and Agency Scale (SEAS), the Risk-Taking Inventory and the Accidents and Close Calls in Sport Inventory into German, then tested the hypothesized factor structures with 719 high-risk sport participants from the European Alps using Bayesian structural equation modelling (BSEM). The final models were all good fits to the data, had good internal consistency and displayed adequate discriminant validity. All inventories displayed the same factor structure as in the English inventories bar the G?SEAS After inventory in which a three-factor model fitted better than a two-factor model. Possible reasons for this difference include differences in the sample population, translation bias, or cross-cultural differences; however it seems likely that the nuanced approach of BSEM allowed this study to disentangle emotion regulation transfer from agency transfer after participating in high-risk sport where previous attempts using other methods have failed to. This will allow future research in high-risk sport to be conducted beyond English speaking populations and more significantly, facilitate the investigation of differences between the transfer effects of agency and emotion regulation.     

Differences by age and sex in the sedentary time of adults in Scotland

Previous nationally-representative research in Scotland found a j-shaped relationship between age and leisure sedentary time (ST): a decrease from young to middle-age, before rising steeply in older-age. This study investigated the effects of age and sex on weekday (including work) ST for all adults and stratified by work-status, and on weekend day ST. Differences in the relative contributions of component behaviours were also investigated. Responses from 14,367 adult (≥16 years) 2012–14 Scottish Health Survey participants were analysed using linear regressions. We found no j-shaped relationship between age and weekday ST. Instead, only 16–24 year olds reported lower levels than those over 75 years (6.6 (95% CI: 6.3–6.9) compared to 7.4 (95% CI: 7.2–7.6) hours/day; p < 0001). The j-shape was only evident in the stratified analysis amongst women not in work, and for weekend day ST for all groups. For those in work, work ST accounted for 45% of weekday ST. Television/screen ST made up over half of leisure ST on weekdays and weekend days, regardless of sex, age, or work-status. These results challenge our understanding of how ST varies by age. Interventions to reduce ST should consider differences in the relative contributions of ST behaviours by age and work-status.     

‘Why am I putting myself through this?’ Women football coaches’ experiences of the Football Association's coach education process

In recent years, there has been a significant increase in the provision of formal coach education. However, research has repeatedly demonstrated how coach education has had a limited impact on the learning and development of coach practitioners. To date however, these investigations have avoided female coach populations. Ten women football coaches who had recently completed various association football coach education courses participated in this study. Following the interpretive analysis of 10 semi-structured interviews the findings revealed high levels of gender discrimination and inappropriate cultural practice. The women's experiences are discussed in line with the Bourdieuian notions of social acceptance, symbolic language and power. The women coaches provided a number of recommendations for future coach education provision, which in turn, may help to improve the experiences for those women who participate in the coach education process.     

Keep DRAGging ON: Is solving more problems in DragonBox 12+ associated with higher mathematical performance during the COVID-19 pandemic?

Prior research has shown that game-based learning tools, such as DragonBox 12+, support algebraic understanding and that students' in-game progress positively predicts their later performance. Using data from 253 seventh-graders (12–13 years old) who played DragonBox as a part of technology intervention, we examined (a) the relations between students' progress within DragonBox and their algebraic knowledge and general mathematics achievement, (b) the moderating effects of students' prior performance on these relations and (c) the potential factors associated with students' in-game progress. Among students with higher prior algebraic knowledge, higher in-game progress was related to higher algebraic knowledge after the intervention. Higher in-game progress was also associated with higher end-of-year mathematics achievement, and this association was stronger among students with lower prior mathematics achievement. Students' demographic characteristics, prior knowledge and prior achievement did not significantly predict in-game progress beyond the number of intervention sessions students completed. These findings advance research on how, for whom and in what contexts game-based interventions, such as DragonBox, support mathematical learning and have implications for practice using game-based technologies to supplement instruction.

Practitioner notes

What is already known about this topic

• DragonBox 12+ may support students' understanding of algebra but the findings are mixed.
• Students who solve more problems within math games tend to show higher performance after gameplay.
• Students' engagement with mathematics is often related to their prior math performance.

What this paper adds

• For students with higher prior algebraic knowledge, solving more problems in DragonBox 12+ is related to higher algebraic performance after gameplay.
• Students who make more in-game progress also have higher mathematics achievement, especially for students with lower prior achievement.
• Students who spend more time playing DragonBox 12+ make more in-game progress; their demographic, prior knowledge and prior achievement are not related to in-game progress.

Implications for practice and/or policy

• DragonBox 12+ can be beneficial as a supplement to algebra instruction for students with some understanding of algebra.
• DragonBox 12+ can engage students with mathematics across achievement levels.
• Dedicating time and encouraging students to play DragonBox 12+ may help them make more in-game progress, and in turn, support math learning.

     

Effects of implementation support on children's reading outcomes following an online early reading programme: A cluster-randomised controlled trial

Well-designed computer or app-based instruction has a number of potential benefits (eg increasing accessibility and feasibility of high-quality instruction, reducing time and resources required for training expert delivery, saving instructional time). However, variation in implementation can still affect outcomes when using educational technology. Research generally suggests that without follow-up support after training, implementation of educational interventions is often poor and outcomes reduced. However, the extent to which this is the case when the core element of an intervention is computer or app-delivered is not yet clear. This study investigated the effects of providing ongoing implementation support for Headsprout Early Reading (HER, an early reading programme accessible via a computer or an app), to determine whether such support leads to better outcomes. Twenty-two primary schools (269 learners) participated in a cluster-randomised controlled trial. Eleven schools received initial training followed by ongoing support across the school year, whereas the other 11 schools received initial training and technical support only. Pre- and post-measures of reading skills were conducted using the York Assessment of Reading for Comprehension. We found no effect of implementation support on outcomes, and no effect of implementation support on delivery of the core element of HER. However, there were some effects of implementation support on the implementation of other HER elements relating to the responsiveness of educators to learners' learning within HER. These findings have implications for providing access to high quality online instruction in early reading skills at scale, with minimal training. More broadly, the current study suggests that well-designed computer or app-based instruction can yield positive outcomes with minimal implementation support and training. However, further research is required to ensure the interplay between learners' app-based learning and teacher intervention functions as intended to provide additional support for those who need it.

Practitioner notes

What is already known about this topic

• Well-designed computer or app-based instruction has a number of potential benefits (eg increasing accessibility and feasibility of high-quality instruction, reducing time and resources required for training expert delivery, saving instructional time).
• Implementation can still affect outcomes when using educational technology, and without follow-up support after training, implementation of educational interventions is often poor and outcomes reduced.
• The extent to which this is the case when the core element of an intervention is computer or app-delivered is not yet clear.

What this paper adds

• We found that providing implementation support for teachers and teaching assistants delivering Headsprout Early Reading (HER; an early reading programme accessible via a computer or an app) did not affect the reading outcomes of learners.
• We also found the implementation support did not affect delivery of the core, app-delivered element of the programme.
• However, there were notable differences in implementation of other aspects of the programme, particularly in relation to the role of the teacher or educational practitioner in managing the interplay between the app-based learning and teacher intervention for learners who require further support.

Implications for practice and policy

• These findings have implications for providing access to high quality instruction in early reading skills at scale, with minimal training.
• More broadly, the current study suggests that well-designed computer or app-based instruction can yield positive outcomes with minimal implementation support and training.
• However, the findings of this study identify some potential risk of an over-reliance on technology to facilitate the learning of all learners accessing the programme.
• Further research is required to ensure the interplay between learners' app-based learning and teacher intervention functions as intended to provide additional support for those who need it.