Athlete development depends on many factors that need to be balanced by the coach. The amount of data collected grows with the development of sensor technology. To make data-informed decisions for training prescription of their athletes, coaches could be supported by feedback through a coach dashboard. The aim of this paper is to describe the design of a coach dashboard based on scientific knowledge, user requirements, and (sensor) data to support decision making of coaches for athlete development in cyclic sports. The design process involved collaboration with coaches, embedded scientists, researchers, and IT professionals. A classic design thinking process was used to structure the research activities in five phases: empathise, define, ideate, prototype, and test phases. To understand the user requirements of coaches, a survey (n = 38), interviews (n = 8) and focus-group sessions (n = 4) were held. Design principles were adopted into mock-ups, prototypes, and the final coach dashboard. Designing a coach dashboard using the co-operative research design helped to gain deep insights into the specific user requirements of coaches in their daily training practice. Integrating these requirements, scientific knowledge, and functionalities in the final coach dashboard allows the coach to make data-informed decisions on training prescription and optimise athlete development.
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Participation in sport can positively impact young lives by promoting social development and also physical and mental health and well-being. However, several challenges related to sport participation still exist, such as dropout, health risks related to overtraining, and misconceptions about what evidence-based sport coaching knowledge is. The present chapter critically discusses the scientific and cultural premises on which current coach education in sport is based and offers reflections on how this education can be developed and improved. We suggest that current sports science models, characterised by separate siloes of knowledge, may limit holistic approaches to sports coaching. Additionally, these systems of knowledge are created by power dynamics that are explicitly and implicitly valued in coach education, leading to the production of normative ideas about sports coaching and athlete development. This limited view may lead to blind spots in coach expertise development and hinder the improvement of coaching and coach education. We conclude by sharing some ideas that may contribute to the transformation of coach education through the design of more transdisciplinary approaches in coaching courses.
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Ineens was-ie er: de pedagogisch coach. Wetenschappelijk onderzoek liet positieve effecten zien van gerichte nascholing op de competenties van de staf èn de ontwikkeling van kinderen. Het European Quality Framework onderstreepte daarom het belang van continue professionalisering. De OECD wees in dezelfde richting. De pedagogisch coach is, vrij snel daarna, opgenomen in beleid voor kinderopvang in Denemarken, Finland, Italië, Nederland en Vlaanderen. Jochen Devlieghere, Lobke van Lombergen en Michel Vandenbroeck onderzochten de eerste praktijkervaringen met deze nieuwe collega's in Vlaanderen. Deze aandacht is nodig, volgens hen, omdat beleid niet wordt gemaakt op papier, maar uiteindelijk in de praktijk. Hoe is het de coaches vergaan?
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Deze handleiding hoort bij het onderdeel “Train-de-coach” van het professionaliseringsprogramma ’t PASST Samen. In ’t PASST Samen werken leerkrachten en jeugdhulpverleners (professionals) aan het versterken van hun handelen en hun interprofessionele samenwerkingsvaardigheden. Het doel daarvan is dat de betrokkenheid bij het leren van kinderen met een autismespectrumstoornis (ASS) vergroot wordt. Leerkrachten en jeugdhulpverleners ontwikkelen nieuwe kennis en vaardigheden die ze direct kunnen toepassen in hun werk. Hierdoor wordt hun handelingskracht om een integrale aanpak vorm te geven versterkt. Dit levert uiteindelijk tijdwinst op, omdat er preventief gewerkt wordt aan problemen die samenhangen met een verlaagde betrokkenheid (bijv. interactieproblemen). Hierdoor worden de kansen voor kinderen met ASS vergroot.’t PASST Samen is bedoeld voor leerkrachten en jeugdhulpverleners die met leerlingen met ASS werken én hun integrale aanpak voor deze leerling(en) willen versterken. De professionalisering is geschikt voor zowel ervaren als minder ervaren professionals. Van belang is dat de professional open staat voor: coaching en reflectie; het werken aan eigen leerdoelen en -vragen; uitwisselen van kennis en ervaringen met collega’s binnen en buiten de eigen organisatie en het delen van kennis en ervaringen met ouders. Naast de leerkracht/jeugdhulpverlener wordt ook een coach (bijvoorbeeld de gedragsdeskundige, beeldcoach, video-interactiebegeleider, intern begeleider) van de organisatie betrokken om de leerkracht/jeugdhulpverlener te ondersteunen. Van belang is dat de coach het als een uitdaging ziet de professionals van de organisatie te coachen. Daarnaast is de coach bereid om te participeren in de train-de-coach-sessies waarbij kennis en ervaringen worden opgefrist, gedeeld en toepasbaar gemaakt voor de eigen praktijk.Om veranderingen in het onderwijs en de jeugdhulpverlening te realiseren is het belangrijk om de organisatie mee te nemen in het leerproces: de collega’s en de leidinggevende. Zo kan het effect van de professionalisering vergroot worden. Voor meer informatie over ’t PASST Samen raadpleeg de Algemene Handleiding.
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Objectives: Emotional eating is recognized as a potential contributor to weight gain. Emotional eaters often hide their problems because of feelings of shame about their behavior, making it challenging to provide them with the necessary support. The introduction of a virtual coach might offer a potential solution in assisting them. To find out whether emotional eaters are receptive to online personalized coaching, we presented emotional eaters with two essential proto-typical problem situations for emotional eaters: “experiencing cravings” and “after giving in to cravings,” and asked them whether they preferred one of the three coaching strategies presented: Validating, Focus-on-Change and Dialectical.Methods: An experimental vignette study (2 × 3 design) was carried out. The vignettes featured two distinct personas, each representing one of the two common problem scenarios experienced by emotional eaters, along with three distinct coaching strategies for each scenario. To identify potential predictors for recognition of problem situations, questionnaires on emotional eating (DEBQ), personality traits (Big-5), well-being (PANAS), and BMI were administrated.Results: A total of 62% of the respondents identified themselves with “after giving in to cravings” and 47% with “experiencing cravings.” BMI, emotional eating and emotional stability appeared to be predictors in recognizing both the problem situations. In “experiencing cravings,” the participating women preferred Dialectical and the Validation coaching strategies. In the “after giving in to cravings” condition, they revealed a preference for the Dialectical and the Focus-on-Change coaching strategies.Conclusion: Using vignettes allowed a less threatening way of bringing up sensitive topics for emotional eaters. The personas representing the problem situations were reasonably well recognized. To further enhance this recognition, it is important for the design and content of the personas to be even more closely related to the typical problem scenarios of emotional eaters, rather than focusing on physical characteristics or social backgrounds. This way, users may be less distracted by these factors. With the knowledge gained about the predictors that may influence recognition of the problem situations, design for coaching can be more customized. The participants represented individuals with high emotional eating levels, enhancing external validity.
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Among runners, there is a high drop-out rate due to injuries and loss of motivation. These runners often lack personalized guidance and support. While there is much potential for sports apps to act as (e-)coaches to help these runners to avoid injuries, set goals, and maintain good intentions, most available running apps primarily focus on persuasive design features like monitoring, they offer few or no features that support personalized guidance (e.g., personalized training schemes). Therefore, we give a detailed description of the working mechanism of Inspirun e-Coach app and on how this app uses a personalized coaching approach with automatic adaptation of training schemes based on biofeedback and GPS-data. We also share insights into how end-users experience this working mechanism. The primary conclusion of this study is that the working mechanism (if provided with accurate data) automatically adapts training sessions to the runners’ physical workload and stimulates runners’ goal perception, motivation, and experienced personalization. With this mechanism, we attempted to make optimal use of the potential of wearable technology to support the large group of novice or less experienced runners and that by providing insight in our working mechanisms, it can be applied in other technologies, wearables, and types of sports.
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Inleiding Van praktijkondersteuners wordt verwacht dat zij samen met chronische zieke patiënten doelen en actieplannen formuleren. Dit vraagt een verandering van hun rol: van medisch expert naar coach. Wij onderzochten de ervaringen van praktijkondersteuners en patiënten met COACH, een nieuwe aanpak voor gezamenlijke besluitvorming, en hun mening over de implementatiemogelijkheden van deze aanpak. Methode Vijftien praktijkondersteuners in Noord-Limburg kregen een training in de nieuwe aanpak; 23 patiënten deden mee aan het onderzoek. De kwantitatieve en kwalitatieve procesevaluatie omvatte individuele interviews (n = 15), een focusgroep (n = 9) en vragenlijstonderzoek bij de praktijkondersteuners, interviews met patiënten (n = 10) en dertien audio-opnamen van een consult. Resultaten De praktijkondersteuners vonden COACH waardevol om tot persoonsgerichte doelen te komen, maar moeilijk te integreren in de bestaande werkroutines. Ze ervoeren een rolconflict ten aanzien van het medisch protocol en voelden zich daarin weinig ondersteund door de huisartsen. De helft van de geïnterviewde patiënten merkte geen verschil in de werkwijze van de praktijkondersteuner; de anderen meldden dat de praktijkondersteuner meer vragen had gesteld en dat zij meer inzicht in hun situatie hadden gekregen. Conclusie Om praktijkondersteuners daadwerkelijk te kunnen inschakelen bij gezamenlijke besluitvorming, zullen praktijkondersteuners en huisartsen samen moeten nadenken over een gezamenlijke rolopvatting.
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Athlete development depends on many factors that need to be balanced by the coach. The amount of data collected grows with the development of sensor technology. To make data-informed decisions for training prescription of their athletes, coaches could be supported by feedback through a coach dashboard. The aim of this paper is to describe the design of a coach dashboard based on scientific knowledge, user requirements, and (sensor) data to support decision making of coaches for athlete development in cyclic sports. The design process involved collaboration with coaches, embedded scientists, researchers, and IT professionals. A classic design thinking process was used to structure the research activities in five phases: empathise, define, ideate, prototype, and test phases. To understand the user requirements of coaches, a survey (n = 38), interviews (n = 8) and focus-group sessions (n = 4) were held. Design principles were adopted into mock-ups, prototypes, and the final coach dashboard. Designing a coach dashboard using the co-operative research design helped to gain deep insights into the specific user requirements of coaches in their daily training practice. Integrating these requirements, scientific knowledge, and functionalities in the final coach dashboard allows the coach to make data-informed decisions on training prescription and optimise athlete development.
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During intensified phases of competition, attunement of exertion and recovery is crucial to maintain performance. Although a mismatch between coach and player perceptions of training load is demonstrated, it is unknown if these discrepancies also exist for match exertion and recovery. Purpose: To determine match exertion and subsequent recovery and to investigate the extent to which the coach is able to estimate players’ match exertion and recovery. Methods: Rating of perceived exertion (RPE) and total quality of recovery (TQR) of 14 professional basketball players (age 26.7 ± 3.8 y, height 197.2 ± 9.1 cm, weight 100.3 ± 15.2 kg, body fat 10.3% ± 3.6%) were compared with observations of the coach. During an in-season phase of 15 matches within 6 wk, players gave RPEs after each match. TQR scores were filled out before the first training session after the match. The coach rated observed exertion (ROE) and recovery (TQ-OR) of the players. Results: RPE was lower than ROE (15.6 ± 2.3 and 16.1 ± 1.4; P = .029). Furthermore, TQR was lower than TQ-OR (12.7 ± 3.0 and 15.3 ± 1.3; P < .001). Correlations between coach- and player-perceived exertion and recovery were r = .25 and r = .21, respectively. For recovery within 1 d the correlation was r = .68, but for recovery after 1–2 d no association existed. Conclusion: Players perceive match exertion as hard to very hard and subsequent recovery reasonable. The coach overestimates match exertion and underestimates degree of recovery. Correspondence between coach and players is thus not optimal. This mismatch potentially leads to inadequate planning of training sessions and decreases in performance during fixture congestion in basketball.
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Self-management is widely seen as a viable contribution to sustainable health care as it allows to promote physical and mental well-being. A promising approach to promoting a healthy lifestyle is the deployment of personalized virtual coaches, especially in combination with the latest developments in the fields of Data Science and Artificial Intelligence. This paper presents a framework for a virtual coaching system, as well as a use case in which parts of this framework are applied. The virtual coach in the use case aims to encourage customer contact center employees to protect their mental health. This article outlines one part of the use-case in particular, viz. how to promote employee autonomy and supervisor support by, inter alia, monitoring employees’ levels of emotional exhaustion. Current systems focus on providing users with insight in their health status or behavior, the authors developed the functional architecture for a system that can be implemented for different goals and generates personalized, real-time advice based on the combination of user preferences, motivational success and predicted user behavior.
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