The purpose of the study was to present technical guidance about the field goal kicking motion in American football for novices. For this purpose, kinematic analysis on the field goal kicking motion of two skilled players and two unskilled players was carried out. The following conclusions were made: 1. In comparison on the total elapsed time of the kicking, there were no significant differences between two groups. The progressing time from BP event to impact among experts group, however, took 0.141 second less than that of novices group. 2. The experts group showed right hip rotatier horizontally toward the targeted ball fixing left hip as the axis. On the other hand, the novices group didn't use the left hip as the axis in the kicking motion. 3. At the impact of kicking the ball, regarding with the distance of the ball and the supporting leg, the right and left distance of experts was 3.45cm longer than that of novices, the front and the rear distance of experts was 5.14cm shorter than novices. 4. At the impact, experts' initial velocity of the targeted ball was $5.27^m/s$ faster than novices', besides experts' incidence angular displacement was $3.78^{\circ}$ larger than novices'. 5. After BP event, experts showed a stable movement maintaining flexion and extension at left hip joint and knee joint. On the other hand, for novices, the angle of the left lower extremities became larger. 6. Experts showed the efficient flexion and extension of the hip joint and the knee joint during following procedure in the whole event of the kicking motion. At the BP event, the right knee joint angle of novices was $11.46^{\circ}$ larger than that of experts. However, the duration of the impact event and FT event among, novices had less extension of knee joint than experts. 7. At the 2nd phase, for both of the groups, the angular velocity of the knee joint drastically increased as the angular velocity of hip joint decreased. However, only novices showed the largest negative angular velocity at the impact.
Journal of The Korean Association For Science Education
/
v.8
no.1
/
pp.43-55
/
1988
This study intended to find the differences between expert's and novice's thinking processes when they solve physics problems. Five physics professors and twenty sophomore students in a physics department were participated in the study. The researcher investigated their thinking processes in solving three physics problems on NEWTON's law of motion. The researcher accepted so called "Thinking Aloud" method. The thinking processes were recorded and transfered into protocols. The protocols were analysised by problem solving process coding system which was developed by the researcher on the basis of Larkin's problem solving process model. The results were as follows: (1) There was no difference of time required in solving physics problem of low difficulty between expert and novices; but, it takes 1.5 times longer for novices than experts in solving physics problems which difficulties are high and average. (2) Novices used working forward strategy and working backward strategy at the similiar rate in solving physics problems which difficulties were average and low. while Novices mo mostly used working backward strategy in solving physic problems which difficulty was high. Experts mostly used working forward strategy in solving physics problems whose difficulties was average and low, however experts used working forward strategy and working backward strategy at the similiar rate in solving physics problem which difficulty was high. (3) Novices usually wrote only a few information on the diagram of figure they drawn, on the other hand experts usually wrote almost all the information which are necessary for solving the problems. (4) Experts spent much time in understand the problem and evaluation stage than novices did, however experts spent less time in plan stage than novices did. (5) Physics problems are solved in sequence of understanding the problem, plan, carrying out the plan, and evaluation steps regardless of problem difficulty.
Previous research has mainly investigated the characteristics of expertise by using typical and routine tasks. This research to overcome these limitations included non-routine task situations and observed expert and novice pilots' situation awareness (SA) performance in routine and non-routine situations. Additionally, whether the ability to aware or perceive the environmental information in limited time varies with the level of expertise was tested. To this end, $2^*2^*2$ mixed factorial design was employed, including expertise (novice/expert) as a between-subjects variable and normality of fight situation (routine/non-routine) and stimulus display time (long/short) as within-subjects variables. As results, there was no performance difference in routine situations between experts and novices, while experts significantly outperformed novices in non-routine situations. When the display time became shorter, overall SA accuracy was decreased for both experts and novices, whereas experts' performance remained significantly higher than novices in short and long conditions. When we examined the interaction between the normality of fight situation and stimulus display time, there was no difference between experts and novices in routine situations for both short and long conditions. In non-routine situations, however, experts' SA accuracy was significantly higher than novices both in short and long conditions. Overall, non-routineness of flight situation does not have any impact on SA performance of experts, while it has a critical impact on SA performance of novices.
Journal of the Korean Society for Aviation and Aeronautics
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v.22
no.4
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pp.42-55
/
2014
The purpose of this research was to identify expertise in ait traffic control by using cognitive skill analysis for novices and experts in routine and non-routine situations. The result of study was to understand expertise in air traffic control tasks in terms of what cognitive processes are responsible for the expert's high performance levels. The problem solving task was difficult for novices, but performed relatively automatically by experts in a routine situation. The difficulty could indicate the presence of controlled processing. Rather than rules and strategies, novices focused more on environmental factors, which merely increase cognitive load. In a non-routine situation, novices showed that they did not categorize the information consistently and alternative resources were not available for them. Experts, however, performed automatically a task by arranging and organizing information related to problem solving components in contexts without regard to a routine and non-routine situation. Especially experts developed a stable representation and directed alternative resources for air traffic flow and efficiency. Based on the results, cognitive processes of experts could be useful to understand expert performance and analyze the learning process, which imply the necessity of developing expertise systematically.
Trong Hieu Luu;Hoang-Long Cao;Duy Duc Pham;Le Trung Chanh Tran;Tom Verstraten
Journal of Acupuncture Research
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v.40
no.1
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pp.44-52
/
2023
Background: Previous studies have investigated technology-aided needling training systems for acupuncture on phantom models using various measurement techniques. In this study, we developed and validated a vision-based needling training system (noncontact measurement) and compared its training effectiveness with that of the traditional training method. Methods: Needle displacements during manipulation were analyzed using OpenCV to derive three parameters, i.e., needle insertion speed, needle insertion angle (needle tip direction), and needle insertion length. The system was validated in a laboratory setting and a needling training course. The performances of the novices (students) before and after training were compared with the experts. The technology-aided training method was also compared with the traditional training method. Results: Before the training, a significant difference in needle insertion speed was found between experts and novices. After the training, the novices approached the speed of the experts. Both training methods could improve the insertion speed of the novices after 10 training sessions. However, the technology-aided training group already showed improvement after five training sessions. Students and teachers showed positive attitudes toward the system. Conclusion: The results suggest that the technology-aided method using computer vision has similar training effectiveness to the traditional one and can potentially be used to speed up needling training.
The Journal of Korean Association of Computer Education
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v.14
no.1
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pp.13-21
/
2011
The purpose in this paper is to provide the theoretical framework of characteristics of programming thinking processes in computational literacy education. That is, we developed the theoretical framework through analyzing novices' cognitive thinking processes, applied it to the real situation about computational literacy problem-solving processes and defined characteristics of the processes. For this purpose, we tried to analyze characteristics of programming thinking processes of novices by using think-aloud method. Also we developed the programming process code about novices' cognitive processes and programming processes, and analyzed the process that novice faced and overcame programming barriers by using qualitative research tool, Nvivo. As a result, we found what characteristics of programming problem-solving processes were and how novices used the thinking skill in the process. This study contributes to understand programming problem-solving processes and provides the criterion to analyze the processes scientifically.
This study investigated the differences in processing type of working memory between experts and novices when they read music scores. Two experiments were conducted with the articulatory suppression condition. In Experiment 1, eight half notes were shown on the screen for a brief period of time, participants were then requested to write the notes on a music sheet. the stimuli were divided into two: melodious and unmelodious. In similar fashion, Experiment 2 consisted of four-chord sequences, which contained three notes each. The stimuli were also divided into two: harmonious and disharmonious. As an analysis of the results in Experiment 1 & 2, novices commonly showed better performances in the non-articulatory suppression condition than the articulatory suppression condition with both stimuli types. However, experts were relatively affected little by the articulatory suppression with harmonious stimuli. These findings support that while novices entirely depend on the articulatory loop, experts may encode the notes through the visuo-spatial sketchpad before they transfer the information to the phonological store when they are familiar with material.
In this study. differences in attention allocation patterns between expert and novIce pilots were investigated by a verbal protocol when pilots were engaged in a task during the instrument flight. Ten pilots including experts and novices were participated to conduct a pre-determined task(a fix-to-fix) on F-5E Cockpit Procedure Trainer Simulator. Experts show better performance as expected with more stable variations in speed. altitude. and attitude. In attention allocation patterns. novices allocated about 83% of attentional resources on the primary instruments (airspeed indicator. altitude indicator. and attitude) relating to the task of the basic flight while experts spent 57%. This difference in the availability of attentional resources allowed expert pilots to accomplish the task better than novices. In other words. training a pilot should consider a program for building up wider instrument scanning patterns to become an expert in a shorter time.
In the clothes industry, there are lack of experts including technical designers who can analyze the fit of clothes. This study is to provide practical data available for fit analysis education by distinguishing the differences in standards and aspects of garment fit between experts and novices, through the eye-tracking technology to quantify the sense of fit. For this study, two groups were organized; one composed of 7 experts with over 15 year-experience including technical designers and patternmakers, and the other composed of 7 novices who are students majoring in clothing. Wearing the goggle type eye-tracker Tobii Pro Glasses 2, the participants in the experiments were required to conduct fit analyses for a pair of pants on a live model. After those experiments, they were required to check the items for fit analysis and assess the importance level of them on a questionnaire. The differences between the two groups in the ratios of total visit count and total visit duration by each AIO(Area of Interest) of clothes were analyzed through non-parametric statistical test. The results of eye tracking experiments showed that experts focused on center front and back line, crotch area, and side seam, while novice's fixation points were dispersed around the pants. The survey results showed that the experts put importance on the center line position and its verticality, front-back proportion of side seam line, and front-back proportion of waist line, 71.4~100% of whom checked them, while 14.3% of the novices checked them.
Present study identified categorization pattern differences between experts and novices and examined whether categorization training has positive effects on problem solving. In experiment I, we examined categorization differences between groups according to expertise using mathematical equation problems. Experts classified problems based on deep structure related to problem solution methods whereas novices classified problems based on surface features. However, in the labeled categorization condition, novices' categorization pattern was not different from experts'. These results suggest that novices have difficulty identifying deep structure of problems. In experiment 2, we examined whether categorization training showing subjects deep structure of problems explicitly increases transfer performance. The results showed that solution training was more effective to expert group whereas categorization training was more effective to novice group. We have discussed that different training methods should be applied according to expertise.
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