scholarly journals Spaced training enhances equine learning performance

2021 ◽  
Author(s):  
Frederick R. Holcomb ◽  
Kristi S. Multhaup ◽  
Savannah R. Erwin ◽  
Sarah E. Daniels

AbstractThis field experiment examined whether the well-documented benefit of spaced over massed training for humans and other animals generalizes to horses. Twenty-nine randomly selected horses (Equus ferus caballus) repeatedly encountered a novel obstacle-crossing task while under saddle. Horses were randomly assigned to the spaced-training condition (2 min work, 2 min rest, 2 min work, 2 min rest) or the massed-training condition (4 min work, 4 min rest). Total training time per session and total rest per session were held constant. Days between sessions (M = 3) were held as consistent as possible given the constraints of conducting research on a working ranch and safety–threatening weather conditions. During each training session, the same hypothesis-naïve rider shaped horses to cross a novel obstacle. Fifteen of 16 horses in the spaced-training condition reached performance criterion (94% success) while only 5 of 13 horses in the massed-training condition reached performance criterion (39% success). Horses in the spaced-training condition also initiated their first obstacle-crossing faster than horses in the massed-training condition and were faster at completing eight crossings than horses in the massed-training condition. Overall, task acquisition was higher for horses undergoing spaced training despite both groups experiencing the same total work and rest time per session. These findings generalize the learning-performance benefit observed in human spaced practice to horses and offer applied benefit to equine training.

1978 ◽  
Vol 22 (1) ◽  
pp. 369-372
Author(s):  
Ricky E. Savage ◽  
Robert C. Williges ◽  
Beverly H. Williges

A double, cross-validation procedure was used to validate regression equations which predict training time to learn a two-dimensional pursuit tracking task. Motor skill and information processing tasks were used as predictors. The results yielded a reliable regression equation for each training condition, and these equations were quite similar in cross-validation. Subsequently, a regression equation based on pooled data from the original and cross-validation sample was calculated for each training condition. To establish the usefulness of a regression approach for selecting training strategies, these equations will be used in a future study where students will be matched, mismatched, and randomly assigned to various training alternatives.


2014 ◽  
Vol 34 (1) ◽  
pp. 79-84 ◽  
Author(s):  
Judith Bernardini ◽  
Diane J. Davis

BackgroundTraining patients to perform peritoneal dialysis (PD) at home is key to good patient outcomes. Currently, no validated curriculum based on education concepts is available in the public domain, and training is not standardized. Few nurses are prepared to be effective trainers. The present study was designed to evaluate the efficiency and effectiveness of PD training using a new cycler designed with animation, visual images, and voice cues and provided by a qualified PD nurse with a standardized script to guide the trainer.MethodsThe study recruited 40 participants, including individuals naive to dialysis and current automated PD (APD) patients. Participants with visual, hearing, or touch impairments were purposely included to reflect the disabilities common to the general APD population. The participants encompassed a range of self-reported computer and technical experience and education levels. Experienced training nurses trained each participant, one on one, for 4 – 8 hours during a single day; the nurses followed the standardized script as the participants progressed through the cycler training curriculum. The pace of training was adjusted to meet individual abilities and needs. Participants were evaluated by the training nurse at the end of the training session for their proficiency in meeting the learning objectives.ResultsAll 40 participants completed the 1-day training and successfully met all task objectives by the end of the day. Participant ages ranged from 23 to 73 years (mean: 53.8 ± 11 years), with the women (50 ± 12 years) being significantly younger than the men (57 ± 9 years, p = 0.05). Among the participants, 90% had visual impairments; 40%, hearing impairments; and 45%, touch impairments. Twenty-nine participants (73%) had multiple impairments. Median training time was 7 ± 0.13 hours, with a range of 5 – 8.25 hours. We found no correlation between the number of hours needed for successful training and age ( r = 0.30). Training time did not differ significantly by sex, disability, computer or technical experience, or education level. The required training time was less for participants with previous PD experience (6.5 ± 0.7 hours) than for those naive to dialysis (7 ± 0.8 h), but at p = 0.056, the difference just missed being statistically significant.ConclusionsThe most striking finding is that, despite a variety of barriers to learning, all 40 participants were able to meet all the stated objectives of the study with 4 – 8 hours of training. Ability to meet the study objectives was not less for participants with limited education or limited technical or computer experience than for those with more education or more advanced technical and computer skills. Thus, the highly technical aspect of the new cycler is able to promote learning for a wide range of learners. The cycler provides automated instruction using audio, video, and animation, and those features, combined with a qualified training nurse using a standardized script, appear to be both efficient and effective.


2017 ◽  
Author(s):  
Craig Pickering ◽  
John Kiely ◽  
Bruce Suraci ◽  
Charlie Quigley ◽  
Jake Watson

AbstractExercise training creates a number of physical challenges to the body, the overcoming of which drives exercise adaptation. The balance between sufficient stress and recovery is a crucial, but often under-explored, area within exercise training. Genetic variation can also predispose some individuals to a greater need for recovery after exercise. In this pilot study, 18 male soccer players underwent a repeated sprint training session. Countermovement jump (CMJ) heights were recorded immediately pre-and post-training, and at 24-and 48-hours post-training. The reduction in CMJ height was greatest at all post-training time points in subjects with a larger number of gene variants associated with a reduced exercise recovery. This suggests that knowledge of genetic information can be important in individualizing recovery timings and modalities in athletes following training.


2020 ◽  
Vol 4 (4) ◽  
pp. 422
Author(s):  
Lina Komalasari ◽  
Suyitno Muslim ◽  
Murni Winarsih

Traffic safety training whose material needed a concrete visualization aspect. To accommodate this, teaching materials were needed to support the learning process. This study aims to describe the results of needs analysis which is the first step of the Research & Development process conducted with a qualitative approach. Data collection techniques are done by conducting research through documentation, observation, and interviews. The results of the needs analysis have been found several problems, that is the heterogeneous characteristics from training participants, limited experience of training participants, limited training time, lack of teaching materials, and training implementation locations throughout Indonesia. Hyper content-based printing modules are a great alternative because they can bring related factual aspects of traffic safety to training participants. In the next research, it is expected to develop a hyper content-based traffic safety training module.


2019 ◽  
Vol 111 ◽  
pp. 02059
Author(s):  
Sanjay Kumar ◽  
Manoj Kumar Singh ◽  
Varun Kumar Gupta

Hostel buildings prime objective is to provide better thermal environments to the students for their good health and learning performance. In India, a very few studies are done on the thermal environments of multi-storied naturally ventilated hostel buildings. We carried out a thermal comfort study in two mid-rise (~G+5 floors) naturally ventilated (NV) hostel buildings during monsoon season (August-September, 2018). The field study conducted for three consecutive weeks collecting 642 valid subjective responses with objective information regarding thermal parameters of 253 rooms. Statistical analysis of student’s responses and measured thermal environment variables was performed for assessing inter buildings effects, different weather conditions (rainy or cloudy) and daytime duration (morning, afternoon and evening), respectively. The study finds the mean thermal neutrality at 29.9°C for the studied group using Griffiths’ method. The results suggested that more than 80% of subjects were voting within central three categories when indoor operative temperature ranged between 28-32.1°C. The primary adaptive action of occupants includes switching on the fans (100%) followed by the opening of external doors (80%) and opening or closing of windows (55%) to restore thermal comfort in built environments.


2021 ◽  
Author(s):  
Zhi-Ming Tang ◽  
Yutaka Oouchida ◽  
Meng-Xin Wang ◽  
Zu-Lin Dou ◽  
Shin-Ichi Izumi

Abstract Background:Imitative learning is highly effective from infancy to old age, but little is known about the effects of observing errors during imitative learning. This study aims to examine how observing errors affect imitative learning performance, to maximize the effects of imitative learning. Method:In the pre-training session, participants were instructed to pinch at the target force (8 N) with auditory feedback about generated force while watching videos of someone pinching a sponge at the target force. In the pre-test, participants pinched at the target force without viewing a model or receiving auditory feedback. In Experiment 1, in the main training session, participants imitated models while watching videos of pinching at either the incorrect force (error-mixed condition) or the target force (all-correct condition). Then, the exact force they generated in pinching was measured without receiving auditory feedback or viewing a model. In Experiment 2, using the same procedure in the pre-training and pre-test sessions, newly recruited participants watched pinching at incorrect forces (4 and 24 N) as the all-error condition and the correct force as the correct condition. Results: In Experiment 1, the average force was better in the error-mixed condition than in the correct condition. In Experiment 2, the average force in the correct condition was better than that in the error condition.Conclusion: Our findings indicate that observing error actions combined with correct actions affected imitation motor learning positively, because error actions contain what-not-to-do information about the target action, unlike correct actions, which provide more information to enhance imitative learning.


Author(s):  
Emily Schill Gray ◽  
Jocelyn Wikle

Park managers and researchers have increasingly sought new approaches for data collection to understand recreation patterns and experiences in a more sophisticated and holistic manner. Traditional methods of monitoring visitors through on-site observation and surveys can be time consuming, expensive, and prone to error, and park managers recognize the value of new technologies in providing reliable and cost-effective visitor monitoring programs that achieve a balance between precision, accuracy, and efficiency. Live webcam video feeds are becoming increasingly available online and provide an opportunity to monitor aspects of recreation that have previously been difficult to measure. Additionally, webcam monitoring, which can be done remotely, provides a cost-effective alternative to on-site data collection because it eliminates the need for travel costs and on-site personnel. The purpose of this study is to provide a methodological investigation of extracting recreation data from webcams to introduce park managers and leisure researchers to this new data collection technique. We provide a typology for the types of questions this method can address, carefully document an approach for conducting research with webcam video feeds, and provide a proof-of-principle through presenting a case study. Taken together, we demonstrate that an online approach using webcam footage for recreation research is feasible and viable. This research has broad applications in recreation contexts, allowing the study of detailed spatio-temporal recreation patterns, visit volumes, user heterogeneity, and large tour tracking. Webcam information can also be combined with relevant data on weather conditions, air quality, gas prices, or other conditions to learn about factors shaping the timing of recreation experiences. This study has implications for park and recreation managers, who make decisions about facilitating or hindering the use of webcams at their sites through their attention to expanding or contracting the supply of webcams on public lands, positioning cameras, and maintaining live feeds. Decisions made by park staff about webcams should not only consider the impacts of webcams on enhancing user experience, but also consider their use as a tool to monitor recreation patterns by park personnel and by leisure and tourism researchers more broadly.


2014 ◽  
Vol 9 (2) ◽  
pp. 332-339 ◽  
Author(s):  
Iker Muñoz ◽  
Roberto Cejuela ◽  
Stephen Seiler ◽  
Eneko Larumbe ◽  
Jonathan Esteve-Lanao

Purpose:To describe training loads during an Ironman training program based on intensity zones and observe training–performance relationships.Methods:Nine triathletes completed a program with the same periodization model aiming at participation in the same Ironman event. Before and during the study, subjects performed ramp-protocol tests, running, and cycling to determine aerobic (AeT) and anaerobic thresholds (AnT) through gas-exchange analysis. For swimming, subjects performed a graded lactate test to determine AeT and AnT. Training was subsequently controlled by heart rate (HR) during each training session over 18 wk. Training and the competition were both quantified based on the cumulative time spent in 3 intensity zones: zone 1 (low intensity; <AeT), zone 2 (moderate intensity; between AeT and AnT), and zone 3 (high intensity; >AnT).Results:Most of training time was spent in zone 1 (68% ± 14%), whereas the Ironman competition was primarily performed in zone 2 (59% ± 22%). Significant inverse correlations were found between both total training time and training time in zone 1 vs performance time in competition (r = –.69 and –.92, respectively). In contrast, there was a moderate positive correlation between total training time in zone 2 and performance time in competition (r = .53) and a strong positive correlation between percentage of total training time in zone 2 and performance time in competition (r = .94).Conclusions:While athletes perform with HR mainly in zone 2, better performances are associated with more training time spent in zone 1. A high amount of cycling training in zone 2 may contribute to poorer overall performance.


1992 ◽  
Vol 36 (18) ◽  
pp. 1450-1454 ◽  
Author(s):  
Eric E. Geiselman ◽  
Robert K. Osgood

The present study evaluated a new aircraft attitude display concept. The new symbology format, or Theta display, was developed by integrating the features of the conventional attitude/direction indicator (ADI) and head-up attitude reference display (HUD) into a single format. Number of trials to reach a specific performance criterion and tracking performance were collected as dependent variables on an attitude maintenance task. The results show that performance and training time were better with both the Theta display and the ADI than with the HUD. The findings support the hypothesis that an attitude display formed of the integration of ADI and HUD symbology will demonstrate a performance benefit over a pure HUD format.


2020 ◽  
Vol 19 (01) ◽  
pp. 2040019
Author(s):  
Mohammed Rajab ◽  
Dennis Wang

Feature selection, the process of identifying relevant features to be incorporated into a proposed model, is one of the significant steps of the learning process. It removes noise from the data to increase the learning performance while reducing the computational complexity. The literature review indicated that most previous studies had focused on improving the overall classifier performance or reducing costs associated with training time during building of the classifiers. However, in this era of big data, there is an urgent need to deal with more complex issues that makes feature selection, especially using filter-based methods, more challenging; this in terms of dimensionality, data structures, data format, domain experts’ availability, data sparsity, and result discrepancies, among others. Filter methods identify the informative features of a given dataset to establish various predictive models using mathematical models. This paper takes a new route in an attempt to pinpoint recent practical challenges associated with filter methods and discusses potential areas of development to yield better performance. Several practical recommendations, based on recent studies, are made to overcome the identified challenges and make the feature selection process simpler and more efficient.


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