Although there is consensus in the current literature that feedback plays a fundamental role tostudent performance and learning, there is debate about what makes it effective. Particularly,some assessment instruments, like the National Student Survey in the United Kingdom, revealthat evaluation and feedback are systematically among the areas that students are less satisfiedwith. The aim of this article is to describe the indirect feedback technique, which was devised andused by the principle author in his previous tenure as a professor at the University of Cadiz inSpain and to reflect on how it can be applied to overcome some of the limitations presented in adifferent context of practice. It is argued that indirect feedback meets many of the principles ofgood practice (facilitation of self-assessment skills, delivery of quality information about thestudents’ learning, encouragement of dialogue, and improvement of teaching) identified by Nicoland McFarlane-Dick (2006).
The pervasiveness of wearable technology has opened the market for products that analyse running biomechanics and provide feedback to the user. To improve running technique feedback should target specific running biomechanical key points and promote an external focus. Aim for this study was to define and empirically test tailored feedback requirements for optimal motor learning in four consumer available running wearables. First, based on desk research and observations of coaches, a screening protocol was developed. Second, four wearables were tested according to the protocol. Third, results were reviewed, and four experts identified future requirements. Testing and reviewing the selected wearables with the protocol revealed that only two less relevant running biomechanical key points were measured. Provided feedback promotes an external focus of the user. Tailoring was absent in all wearables. These findings indicate that consumer available running wearables have a potential for optimal motor learning but need improvements as well.
Injuries and lack of motivation are common reasons for discontinuation of running. Real-time feedback from wearables can reduce discontinuation by reducing injury risk and improving performance and motivation. There are however several limitations and challenges with current real-time feedback approaches. We discuss these limitations and challenges and provide a framework to optimise real-time feedback for reducing injury risk and improving performance and motivation. We first discuss the reasons why individuals run and propose that feedback targeted to these reasons can improve motivation and compliance. Secondly, we review the association of running technique and running workload with injuries and performance and we elaborate how real-time feedback on running technique and workload can be applied to reduce injury risk and improve performance and motivation. We also review different feedback modalities and motor learning feedback strategies and their application to real-time feedback. Briefly, the most effective feedback modality and frequency differ between variables and individuals, but a combination of modalities and mixture of real-time and delayed feedback is most effective. Moreover, feedback promoting perceived competence, autonomy and an external focus can improve motivation, learning and performance. Although the focus is on wearables, the challenges and practical applications are also relevant for laboratory-based gait retraining.
