Feedback is one of the most powerful tools teachers can use to enhance student learning. In 2006, the Dutch Inspectorate of Education concluded from classroom observations that it is difficult for Dutch teachers to give their students good feedback in order to stimulate students' learning process and developmental progress. Similar problems were revealed in other school levels and countries, for example in secondary education and in Finland. Giving feedback during active learning may be even more troublesome for teachers. During active learning, students are working in small groups on different learning goals and undertake different learning activities at the same time. They need to achieve task-related goals as well as to develop the meta-cognitive knowledge and skills that are needed for active learning. Yet, teachers often seem unable to provide the feedback that is needed and they do not know how to support the development of meta-cognitive knowledge and skills.Therefore, this research project focused on ways to improve primary school teachers' feedback giving practices during active learning. The central research question is: How can primary school teachers learn to give optimal feedback to pupils during active learning? To answer this question, five studies have been conducted. In the first study, knowledge regarding teachers' feedback practices was gathered. A category system was developed based on the literature and empirical data. A total of 1465 teacher-student interactions of 32 teachers who practiced active learning in the domain of environmental studies in the sixth, seventh or eighth grade of 13 Dutch primary schools were videotaped and assessed using this system. Results showed that about half of the teacher-student interactions contained feedback. This feedback was usually focused on the tasks that were being performed by the students and on the ways in which these tasks were processed. Only 5% of the feedback was explicitly related to a learning goal. In their feedback, the teachers were directing (rather than facilitating) the learning processes. During active learning, however, feedback on meta-cognition and social learning is important. Feedback should be explicitly related to learning goals. In practice, these kinds of feedback appear to be scarce. In the second study, the problems these 32 primary school teachers perceive and the beliefs they hold regarding the provision of feedback were investigated. A writing task and an interview were conducted. It appeared that teachers believed that conditional teacher skills, especially time management, hindered them most from giving good feedback. The most widely held belief was that 'feedback should be positive'. Teachers also believed that it is important to adopt a facilitative way of giving feedback, but they found this difficult to implement. Only some teachers believed goal-directedness and a focus on student meta-cognition were important during active learning and teachers did not perceive problems regarding these aspects. In the third study, a professional development program (PDP) was developed, implemented and evaluated. The goals and content of the PDP were based on a review of the literature regarding feedback and active learning and on the results of the preceding studies. The design of the PDP was based on the extant literature regarding the features which are considered to be important for PDPs, including structural features, goal setting and characteristics of the professional development activities that are part of the program. Effects of this PDP on 16 primary schoolteachers' knowledge, beliefs, perceived problems and classroom behavior were examined via observations, a writing task and a questionnaire prior and twice after the program was implemented. Results showed that several aspects of feedback during active learning were improved, both in the short and in the long term. For example, teachers learned to believe that feedback must be goal-directed and that learning goals need to be communicated to students. In the classrooms, teachers related their feedback more often explicitly to the learning goals. In the fourth study, the extent to which teachers attributed the success of the PDP to each of the purposefully implemented features of the PDP was examined. The 16 teachers that participated in the PDP completed a questionnaire and four focus group interviews were conducted. Results indicated that teachers value most features quite highly; all features contributed to teachers' professional development according to the teachers themselves. The qualitative data was used to illustrate and specify the theoretical knowledge regarding the features that appeared to be effective in PDP's. Finally, in the fifth study, the learning process of two of the participating teachers was described in detail. Written reflections, as well as videotaped reflections during the video interaction training meetings were analyzed and related to the effects of the PDP on both teachers' knowledge, beliefs, perceived problems and classroom behavior during te course of the PDP. By relating the learning processes of these two teachers to the literature regarding professional development, we aimed for a rich understanding of the impact of the PDP on teachers' professional development.
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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.
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The introduction of the program ‘working to learn and learning to work’ for the bachelor students at the department Logistics Management (of the HU) has adopted a next level of competence awareness with their students. The introduction of the working and learning program kicked off 4 years ago with an annual program for the bachelor students combining three days of traineeship with two days at school. In spite of the effort of the teachers involved, the students failed to grasp visible competence development through combining work tasks with competence development and feedback assignments. The main question was: How can students’ understanding be improved on transparent competence development. Clearly students took their responsibility but missed the required awareness. During the year even a decline in student engagement resulted. Both, knowledge from an assessment training for teachers, and the traineeship rubric helped altering the existing approach of students’ competence learning. Out of a class of 28, 6 students tested the new approach. Their results were astonishing with higher average grades, happier attitudes, clear reflections on their improvements, and improvedunderstanding of the need for feedforward and feedback at work tasks related personal (competence) developed.
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Many studies have shown that self-controlled feedback is beneficial for learning motor tasks, andthat learners prefer to receive feedback after supposedly good trials. However, to date all studiesconducted on self-controlled learning have used individual tasks and mainly relatively simpleskills. Therefore, the aim of this study was to examine self-controlled feedback on tactical skills insmall-sided soccer games. Highly talented youth soccer players were assigned to a self-control oryoked group and received video feedback on their o ffensive performance in 3 vs. 2 small-sidedgames. The results showed that the self-control group requested feedback mostly after good trials,that is, after they scored a goal. In addition, the perceived performance of the self-control groupwas higher on feedback than on no-feedback trials. Analyses of the conversations around thevideo feedback revealed that the players and coach discussed good and poor elements of per-formance and how to improve it. Although the coach had a major role in these conversations, theplayers of the self-control group spoke more and showed more initiative compared to the yokedgroup. The results revealed no significant beneficial effect of self-controlled feedback on per-formance as judged by the coach. Overall, the findings suggest that in such a complex situation assmall-sided soccer games, self-controlled feedback is used both to confirm correct performanceelements and to determine and correct errors, and that self-controlled learning stimulates theinvolvement of the learner in the learning process.
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Video feedback may be a powerful tool to change biomechanical landing patterns associated with anterior cruciate ligament (ACL) injury risk. This study investigated the effect of video feedback on drop vertical jump (DVJ) landing strategies in team sport athletes. 59 athletes were assigned to a video feedback (VI) or control (CTRL) group. A pretest, 2 training sessions and a posttest were conducted. In both training sessions, video feedback, consisting of a video of the athlete's contour superimposed onto an expert's contour performing the DVJ landing task, was provided to the VI group; the CTRL group did not receive feedback. Outcomes included: kinematics and kinetics at peak knee valgus/varus moment during pre- and posttest and percentage overlap of expert and athlete during the training sessions. At posttest, males in the VI group showed greater hip flexion angles (p=0.001) and range of motion (p<0.001), smaller vertical ground reaction force, and smaller ankle dorsiflexion moment (p<0.001) compared to pretest. At posttest, males in the VI group demonstrated smaller vertical ground reaction force (p=0.031) and ankle dorsiflexion moment (p=0.001) compared to males in the CTRL group. The VI group increased percentage overlap with the expert during training sessions and from start of the first to the end of the second training session (p<0.001). Overall, video feedback was effective to modify landing strategies favorably in males. While females imitated the expert model, their landing strategy did not change significantly. While Females may need additional (verbal) feedback to benefit from video feedback.
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In this study, a data feedback program to improve teachers’ science and technology (S&T) teaching skills was designed and tested. The aim was to understand whether and how the four design principles underlying this program stimulated the intended teacher support. We examined how teachers in different phases of their career applied and experienced the employed design principles’ key aspects. Eight in-service teachers and eight pre-service teachers attended the data feedback program and kept a logbook in the meantime. Group interviews were held afterwards. Findings show that applying the four employed design principles’ key aspects did support and stimulate in- and pre-service teachers in carrying out data feedback for improving their S&T teaching. However, some key aspects were not applied and/or experienced as intended by all attending teachers. The findings provide possible implications for the development and implementation of professional development programs to support in - and pre-service teachers’ S&T teaching using data feedback.
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Eating rate is a basic determinant of appetite regulation, as people who eat more slowly feel sated earlier and eat less. Without assistance, eating rate is difficult to modify due to its automatic nature. In the current study, participants used an augmented fork that aimed to decelerate their rate of eating. A total of 114 participants were randomly assigned to the Feedback Condition (FC), in which they received vibrotactile feedback from their fork when eating too fast (i.e., taking more than one bite per 10 s), or a Non-Feedback Condition (NFC). Participants in the FC took fewer bites per minute than did those in the NFC. Participants in the FC also had a higher success ratio, indicating that they had significantly more bites outside the designated time interval of 10 s than did participants in the NFC. A slower eating rate, however, did not lead to a significant reduction in the amount of food consumed or level of satiation.These findings indicate that real-time vibrotactile feedback delivered through an augmented fork is capable of reducing eating rate, but there is no evidence from this study that this reduction in eating rate is translated into an increase in satiation or reduction in food consumption. Overall, this study shows that real-time vibrotactile feedback may be a viable tool in interventions that aim to reduce eating rate. The long-term effectiveness of this form of feedback on satiation and food consumption, however, awaits further investigation.
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Study selection: Randomized controlled trials published after 2007 with (former) healthcare patients ≥ 21 years of age were included if physical activity was measured objectively using a wearable monitor for both feedback and outcome assessment. The main goal of included studies was promoting physical activity. Any concurrent strategies were related only to promoting physical activity. Data extraction: Effect sizes were calculated using a fixed-effects model with standardized mean difference. Information on study characteristics and interventions strategies were extracted from study descriptions. Data synthesis: Fourteen studies met the inclusion criteria (total n = 1,902), and 2 studies were excluded from meta-analysis. The overall effect size was in favour of the intervention groups (0.34, 95% CI 0.23–0.44, p < 0.01). Study characteristics and intervention strategies varied widely. Conclusion: Healthcare interventions using feedback on objectively monitored physical activity have a moderately positive effect on levels of physical activity. Further research is needed to determine which strategies are most effective to promote physical activity in healthcare programmes. Lay Abstract Wearable technology is progressively applied in health care and rehabilitation to provide objective insight into physical activity levels. In addition, feedback on physical activity levels delivered by wearable monitors might be beneficial for optimizing their physical activity. A systematic review and meta-analysis was conducted to evaluate the effectiveness of interventions using feedback on objectively measured physical activity in patient populations. Fourteen studies including 1902 patients were analyzed. Overall, the physical activity levels of the intervention groups receiving objective feedback on physical activity improved, compared to the control groups receiving no objective feedback. Mostly, a variety of other strategies were applied in the interventions next to wearable technology. Together with wearable technology, behavioral change strategies, such as goal-setting and action planning seem to be an important ingredient to promote physical activity in health care and rehabilitation. LinkedIn: https://www.linkedin.com/in/hanneke-braakhuis-b9277947/ https://www.linkedin.com/in/moniqueberger/
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Background: This follow-up study investigated the year-round effects of a four-week randomized controlled trial using different types of feedback on employees’ physical activity, including a need-supportive coach intervention. Methods: Participants (n=227) were randomly assigned to a Minimal Intervention Group (MIG; no feedback), a Pedometer Group (PG; feedback on daily steps only), a Display Group (DG; feedback on daily steps, on daily moderateto-vigorous physical activity [MVPA] and on total energy expenditure [EE]), or a Coaching Group (CoachG; same as DG with need supportive coaching). Daily physical activity level (PAL; Metabolic Equivalent of Task [MET]), number of daily steps, daily minutes of moderate to vigorous physical activity (MVPA), active daily EE (EE>3 METs) and total daily EE were measured at five time points: before the start of the 4-week intervention, one week after the intervention, and 3, 6, and 12 months after the intervention. Results: For minutes of MVPA, MIG showed higher mean change scores compared with the DG. For steps and daily minutes of MVPA, significantly lower mean change scores emerged for MIG compared with the PG. Participants of the CoachG showed significantly higher change scores in PAL, steps, minutes of MVPA, active EE, total EE compared with the MIG. As hypothesized, participants of the CoachG had significantly higher mean change scores in PAL and total EE compared with groups that only received feedback. However, no significant differences were found for steps, minutes of MVPA and active EE between CoachG and PG. Conclusions: Receiving additional need-supportive coaching resulted in a higher PAL and active EE compared with measurement (display) feedback only. These findings suggest to combine feedback on physical activity with personal coaching in order to facilitate long-term behavioral change. When it comes to increasing steps, minutes of MVPA or active EE, a pedometer constitutes a sufficient tool. Trial registration: Clinical Trails.gov NCT01432327. Date registered: 12 September 2011
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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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