scholarly journals Analysis of training success within the framework of the problems of pedagogical psychology

2021 ◽  
Vol 78 (3) ◽  
Author(s):  
L. Y. Zainiyeva ◽  
N. M. Zykova ◽  
I. S. Shukhovtsev ◽  
I. A. Temirgali
Keyword(s):  
Training Success

Human Cerebral Potentials During Motor Training Under Different Forms of Sensory Feedback

1999 ◽  
Vol 13 (4) ◽  
pp. 234-244
Author(s):  
Uwe Niederberger ◽  
Wolf-Dieter Gerber
Keyword(s):  
Healthy Subjects ◽  
Sensory Feedback ◽  
Motor Task ◽  
Tactile Feedback ◽  
Proprioceptive Feedback ◽  
Motor Training ◽  
Feedback Group ◽  
Emg Feedback ◽  
The Right ◽  
Training Success

Abstract In two experiments with four and two groups of healthy subjects, a novel motor task, the voluntary abduction of the right big toe, was trained. This task cannot usually be performed without training and is therefore ideal for the study of elementary motor learning. A systematic variation of proprioceptive, tactile, visual, and EMG feedback was used. In addition to peripheral measurements such as the voluntary range of motion and EMG output during training, a three-channel EEG was recorded over Cz, C3, and C4. The movement-related brain potential during distinct periods of the training was analyzed as a central nervous parameter of the ongoing learning process. In experiment I, we randomized four groups of 12 subjects each (group P: proprioceptive feedback; group PT: proprioceptive and tactile feedback; group PTV: proprioceptive, tactile, and visual feedback; group PTEMG: proprioceptive, tactile, and EMG feedback). Best training results were reported from the PTEMG and PTV groups. The movement-preceding cortical activity, in the form of the amplitude of the readiness potential at the time of EMG onset, was greatest in these two groups. Results of experiment II revealed a similar effect, with a greater training success and a higher electrocortical activation under additional EMG feedback compared to proprioceptive feedback alone. Sensory EMG feedback as evaluated by peripheral and central nervous measurements appears to be useful in motor training and neuromuscular re-education.

Predictive Validity of a Selection Procedure for Air Traffic Controller Trainees

2013 ◽  
Vol 3 (1) ◽  
pp. 19-27 ◽  
Author(s):  
Yvonne Pecena ◽  
Doris Keye ◽  
Kristin Conzelmann ◽  
Dietrich Grasshoff ◽  
Peter Maschke ◽  
...  
Keyword(s):  
Predictive Validity ◽  
Selection Procedure ◽  
Air Traffic ◽  
Performance Criteria ◽  
Training Phase ◽  
Air Traffic Controller ◽  
Training Performance ◽  
Navigation Service ◽  
German Aerospace ◽  
Training Success

The job of an air traffic controller (ATCO) is very specific and demanding. The assessment of potential suitable candidates requires a customized and efficient selection procedure. The German Aerospace Center DLR conducts a highly selective, multiple-stage selection procedure for ab initio ATCO applicants for the German Air Navigation Service Provider DFS. Successful applicants start their training with a training phase at the DFS Academy and then continue with a unit training phase in live traffic. ATCO validity studies are scarcely reported in the international scientific literature and have mainly been conducted in a military context with only small and male samples. This validation study encompasses the data from 430 DFS ATCO trainees, starting with candidate selection and extending to the completion of their training. Validity analyses involved the prediction of training success and several training performance criteria derived from initial training. The final training success rate of about 79% was highly satisfactory and higher than that of other countries. The findings demonstrated that all stages of the selection procedure showed predictive validity toward training performance. Among the best predictors were scores measuring attention and multitasking ability, and ratings on general motivation from the interview.

The Validity of Specific Cognitive Abilities for the Prediction of Training Success in Germany

2014 ◽  
Vol 13 (3) ◽  
pp. 123-133 ◽  
Author(s):  
Wiebke Goertz ◽  
Ute R. Hülsheger ◽  
Günter W. Maier
Keyword(s):  
Cognitive Abilities ◽  
Personnel Selection ◽  
Meta Analysis ◽  
Mental Ability ◽  
Occupational Category ◽  
General Mental Ability ◽  
Training Success ◽  
Specific Cognitive Abilities ◽  
Better Than

General mental ability (GMA) has long been considered one of the best predictors of training success and considerably better than specific cognitive abilities (SCAs). Recently, however, researchers have provided evidence that SCAs may be of similar importance for training success, a finding supporting personnel selection based on job-related requirements. The present meta-analysis therefore seeks to assess validities of SCAs for training success in various occupations in a sample of German primary studies. Our meta-analysis (k = 72) revealed operational validities between ρ = .18 and ρ = .26 for different SCAs. Furthermore, results varied by occupational category, supporting a job-specific benefit of SCAs.

Determinants and effects of training success in U.S. Navy Special Forces

2013 ◽  
Author(s):  
D. G. McDonald ◽  
J. P. Norton ◽  
J. A. Hodgdon
Keyword(s):  
Special Forces ◽  
Training Success

Failure Modes Model of MEMS Accelerometers Based on Neural Networks

2008 ◽  
Author(s):  
Yanping Bai ◽  
Ping An ◽  
Yilong Hao
Keyword(s):  
Neural Networks ◽  
Failure Modes ◽  
Late Phase ◽  
Primary Sources ◽  
Bp Network ◽  
Bp Networks ◽  
Mems Accelerometers ◽  
Perception Model ◽  
Hidden Layer ◽  
Training Success

Fabrication of a MEMS system involves design, testing, packaging and reliability related issues. However, reliability issues that are discovered at a late phase may cause major delays in the product development going together with high costs. In this paper we study the failure modes and Mechanisms of MEMS accelerometers products and present the classification modeling of failure modes based on neural networks. In ours MEMS accelerometers, there are six failure mechanisms that have been found to be the primary sources of failure nodes. We introduce nonlinear BP network with a hidden layer and linear perception to classify for MEMS accelerometers products. Classification results show that nonlinear BP network seem to be most appropriate to approach the problem of failure modes classification than linear perception. BP neural network is capable of learning the intrinsic relations of the patterns with which they were trained. For all experiments results, the training success of rate is 100% for both methods. BP networks obtained a high forecast success of rate of over 99.5%. The linear perception model obtained a success of rate of over 95.5%. We also analyze the technology stability of MEMS products.

Seven ways to demonstrate training success

1994 ◽  
Vol 33 (9) ◽  
pp. 16-18
Author(s):  
Leonard F. Gingerella
Keyword(s):  
Training Success

Predicting Military Flight Training Success by a Compensatory Tracking Task

1989 ◽  
Vol 1 (4) ◽  
pp. 235-240 ◽  
Author(s):  
Gerald D. Gibb ◽  
Daniel L. Dolgin
Keyword(s):  
Tracking Task ◽  
Flight Training ◽  
Training Success

scholarly journals STIMULATION OF COGNITIVE FUNCTIONS OF PSYCHE BY MEANS OF ONLINE GAMES

2020 ◽  
Vol 2020 (4) ◽  
pp. 66-76
Author(s):  
Оlena Kovalova
Keyword(s):  
Cognitive Function ◽  
Cognitive Functions ◽  
Online Games ◽  
Theoretical Justification ◽  
Training Memory ◽  
Effectiveness Of Training ◽  
Training Success ◽  
The Brain ◽  
Stimulation Of

The article presents the results of testing of the developed online-training of cognitive functions of the brain, which was implemented on a separately created game platform using a set of specially developed games. The proposed results reveal the theoretical justification of the cognitive functions, which are selected for training: memory, thinking, attention, imagination, perception. The characteristics of each cognitive function to be stimulated in the conditions of online games are highlighted. We described the algorithm for games evaluating according to certain cognitive functions and their characteristics. An analysis of the effectiveness of evaluation is given. The results of completing by players of game sessions balanced on the chosen cognitive functions are described. A comparison of the effectiveness of stimulation of different cognitive functions depending on the motivation and choice of players is presented. The aim of the study was to evaluate the effectiveness of online games in activation and stimulation of the cognitive functions of the human psyche. The research methods were based on our own developed algorithm for training success estimation, analysis of the results of online games, methods of mathematical statistics. The results of the study are presented on the basis of approbation of the developed training, conducted during two years. The analysis of the implementation of the training revealed the dependence of the effectiveness of stimulation of cognitive functions on the motivation and choice of the player. It is shown that when training on a balanced set of games, where all cognitive functions are present in equal shares, the effectiveness of training is not uniform and not balanced. It is investigated that the effectiveness of training depends on the quality of the game's effect on cognitive function. In order to take into account this quality of influence, all games were divided into two classes: actively shaping and passively stimulating. The distribution of games by classes was experimentally confirmed. A generalized analysis of the game sessions of all players for six months revealed cognitive functions which for the most players were better developed and more stimulated.

Cross-CTSA Evaluation of KL2 Scholars' Scholarly Productivity Using Bibliometrics and Federal Follow-on Funding (Preprint)

2021 ◽  
Author(s):  
Kelli Qua ◽  
Fei Yu ◽  
Tanha Patel ◽  
Gaurav Dave ◽  
Katherine Cornelius ◽  
...  
Keyword(s):  
Research Collaboration ◽  
Early Stage ◽  
Citation Rate ◽  
Citation Impact ◽  
Federal Funding ◽  
The Other ◽  
Scholarly Productivity ◽  
Training Success ◽  
The Impact ◽  
Time Point

BACKGROUND Evaluating outcomes of a Clinical and Translational Science Award (CTSA) hub’s clinical and translational research (CTR) training (e.g., KL2 program) requires selecting reliable, accessible, and standardized measures. Since measures of scholarly success usually focus on publication output and extramural funding, CTSA hubs have started to use bibliometrics to evaluate the impact of their supported scholarly activities. However, the evaluation of KL2 programs across CTSAs is limited, and the use of bibliometrics and follow-on funding is minimal. OBJECTIVE This study sought to evaluate scholarly productivity, impact, and collaboration using bibliometrics and federal follow-on funding of KL2 scholars from three CTSA hubs and define and assess CTR training success indicators. METHODS The sample included KL2 scholars from three CTSA institutions (A-C). Bibliometric data for each scholar in the sample were collected from both SciVal and iCite, including scholarly productivity, citation impact, and research collaboration. Three federal follow-on funding measures (at the five-year, eight-year, and overall time point) were collected internally and confirmed by examining NIH RePORTER. Both descriptive and inferential statistical analysis were computed using SPSS to assess bibliometrics results and federal follow-on funding of KL2 scholars. RESULTS A total of 143 KL2 scholars were included in the sample with relatively equal groups across three CTSA institutions (A-C). The included KL2 scholars produced more publications and citation counts at the eight-year than the five-year time point (3.4 vs. 3.75 publications per year on average; 26.16 and 26.44 citations per year respectively). Overall, the KL2 publications from all three institutions were cited twice as much as others in their fields based on NIH Relative Citation Ratio. KL2 scholars published work with researchers from other US institutions over two times (five-year point) or three and a half times (eight-year point) more than others in their research fields. Within five-year and eight-year post-matriculation, 44% (n = 63) and 52% (n = 74) of KL2 scholars achieved federal funding respectively. Institution C's KL2-scholars had a significantly higher citation rate per publication than the other institutions (p < .001). Institution A had a significantly lower rate of nationally field-weighted collaboration compared to the other institutions (p < .001). Institution B Scholars were more likely to have received federal funding than scholars at Institution A or C (p < .001). CONCLUSIONS Multi-institutional data showed a high level of scholarly productivity, impact, collaboration, and federal follow-on funding achieved by KL2 scholars. This study provided insights on using bibliometric and federal follow-on funding data to evaluate CTR training success across institutions. CTSA KL2 programs and other CTR career training programs can benefit from these findings in terms of understanding metrics of career success and using that knowledge to develop highly targeted strategies to support early-stage CTR investigators' career development.

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