CALCULATION AND ANALYSIS OF THE
IMPACT OF MICROSOFT SECURITY-
ASSISTED PHYSICAL EDUCATION MODEL
ON COLLEGE BASKETBALL TEACHING IN
THE INTERNET INFORMATION ERA
Chenjing Zhou*
School of Economics and Management, Xianyang Normal University, Xianyang,
Shaanxi, 712000, China
12552121255@xync.edu.cn
Reception: 12/11/2022 Acceptance: 16/01/2023 Publication: 14/03/2023
Suggested citation:
Z., Chenjing. (2023). Calculation and analysis of the impact of Microsoft
security-assisted physical education model on college basketball
teaching in the Internet information era. 3C TIC. Cuadernos de desarrollo
aplicados a las TIC, 12(1), 152-174. https://doi.org/10.17993/3ctic.2023.121.152-174
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152
ABSTRACT
With the rapid development of information technology in China in recent years, the
network-sharing function in social software such as "WeChat" has begun to serve as a
safety aid for educational work and promote the emergence of a new teaching model,
so this paper proposes a new idea of basketball teaching based on the WeChat
safety-aided sports model. Firstly, under the method of research, the importance of
the practical part of the teaching content of the basketball specialization course is
analyzed by principal component analysis; then the suitability of basketball teaching
theory under WeChat safety-assisted is analyzed according to the correlation
reliability test, measurement ANOVA and post hoc test of score rate; based on Kinect
sensing technology, a basketball teaching model based on Kinect motion capture and
joint construction is constructed; finally Obtain weights according to different weight
calculation methods and construct a basketball teaching quality evaluation system
based on fuzzy synthesis. The results showed that the experimental class achieved
3.16±1.609 (pcs) and 82.38±8.450 (points) in the 4-meter fixed distance passing into
the zone; 35.18±9.167 (sec) and 84.72±10.798 (points) in the half-court dribbling and
folding marching layup; 4.8-meter fixed distance one-handed over-the-shoulder
basketball in the experimental class. The experimental class achieved the standard
score of 3.63±2.282 (one) and the technical evaluation score of 82.28±7.857 (points)
for the 4.8m fixed distance one-handed over-the-shoulder shot.
KEYWORDS
Weight calculation method; Microsoft safety-assisted sports; Teaching model; Fuzzy
evaluation system; College basketball teaching
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PAPER INDEX
ABSTRACT
KEYWORDS
1. INTRODUCTION
2. THE CURRENT SITUATION AND INNOVATION OF TEACHING CONTENT OF
BASKETBALL SPECIALIZATION COURSES IN COLLEGES AND
UNIVERSITIES
2.1. Investigation and analysis of the importance of the practical part of the
teaching content of the basketball specialization course
2.2. STUDY ON THE ADAPTABILITY OF THE THEORETICAL PART OF
BASKETBALL TEACHING WITH THE ASSISTANCE OF WECHAT
SECURITY
2.3. Building a basketball teaching model based on Kinect motion capture and
joints
2.4. Basketball teaching quality evaluation system based on the fuzzy synthesis
3. OVERALL EXPERIMENTAL SCHEME DESIGN
3.1. Experimental subjects and grouping
3.2. Macro and microstructural design of WeChat safety-assisted campaign
education model
3.3. Content schedule of teaching experiments
3.4. Teaching procedures of traditional teaching method and reciprocal teaching
method with the assistance of Microsoft security
3.5. Schematic diagram of teacher-student communication styles for different
teaching methods
3.6. Analysis of experimental results
3.6.1. Comparative analysis of two-handed chest pass performance
3.6.2. Comparative analysis of marching layup performance
3.6.3. Comparative analysis of one-handed over-the-shoulder shooting
performance
4. CONCLUSION
DATA AVAILABILITY
CONFLICTS OF INTEREST
REFERENCES
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1. INTRODUCTION
With the advent of the information age and the rapid development of wireless
communication and network, the Internet has become closely connected with people's
life, work and study [1]. WeChat, as an instant messaging software, is not limited by
time and space, and it is not only widely used for socializing, but also becomes a
communication medium and a safety aid for educational work, which has become a
new and generally recognized educational approach driven by information technology
[2-3]. WeChat has various functions, for example, the WeChat group function can
provide a platform for communication between teachers and students and WeChat
public number is an effective and fast way to obtain learning resources [4]. Teachers
can capture high-quality graphics and explain micro-videos before class and publish
them through the WeChat platform, and they can also make online classroom tasks.
In recent years, more and more research on WeChat safety-assisted physical
education has been conducted, and its application in different sports has achieved
good teaching results. sport education model (SE) model or sports education model,
SE model is based on the theory of sports education, which is developed from game
theory and game education theory [5-6]. zhu et al. [7] integrated WeChat into the
teaching of yoga and found that the WeChat platform could help teachers reasonably
arrange the time, intensity, and frequency of practice, and was also beneficial to the
improvement of skills and the formation of exercise habits. The experimental study
found that the combination of the WeChat platform and PBL teaching was beneficial to
the improvement of students' motor skills, and the safety assistance of the WeChat
platform could reduce the time of classroom lectures and demonstrations so that
students had more time to practice. The students' participation motivation is also
greatly improved.
Liu et al [9-11] combined previous research experience on the sports education
model to integrate the WeChat platform into the sports education model, taking into
account the advantages of both for teaching design, emphasizing the importance of
both giving full play to the advantages of online teaching on the WeChat platform and
strictly following the teaching structure process of the sports education model to make
an effective interface between the two. Wang et al [12] proposed an adaptive analysis
based on Kinect of running posture and Meng et al [13-14] proposed that the MU
safety-assisted sports education model can solve the problem of students' weak
knowledge of sports items and also provide an online channel to solve in-class
problems as a way to ensure that the game process is not interrupted while solving
students' in-class problems.
In summary, WeChat plays a great role as a safety aid in physical education, and
researchers have designed and verified its advantages in teaching through WeChat
safety aid teaching. Some scholars have incorporated WeChat into the basketball
teaching mode, and the research results found that WeChat can be incorporated into
the basketball teaching mode more conveniently and effectively to promote students'
overall development and independent learning. This paper addresses the
shortcomings of the traditional basketball teaching model in the information age,
proposes basketball teaching ideas based on the WeChat safety-assisted sports
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model, constructs a basketball teaching model based on Kinect action analysis, and
uses a fuzzy evaluation system to classify and discriminate the proposed method. The
SE model is used to emphasize the development of students' sports knowledge,
culture and students' initiative. Finally, by understanding the role of the WeChat
platform for physical education, and drawing on the experience of previous people in
integrating the WeChat platform with other teaching models, the advantages of both
are combined and integrated, and basketball teaching in colleges and universities is
designed and applied through macro and micro, to be able to provide new teaching
ideas and solutions for basketball teaching.
2. THE CURRENT SITUATION AND INNOVATION OF
TEACHING CONTENT OF BASKETBALL
SPECIALIZATION COURSES IN COLLEGES AND
UNIVERSITIES
2.1. INVESTIGATION AND ANALYSIS OF THE IMPORTANCE OF
THE PRACTICAL PART OF THE TEACHING CONTENT OF
THE BASKETBALL SPECIALIZATION COURSE
Investigations show that basketball specialization courses tend to overemphasize
the transmission of existing skills, tactics, and theoretical knowledge and ignore the
innovation of existing basketball culture, so the teaching content focuses on the
transmission of existing knowledge, skills, and experience. Some teachers of
basketball specialization courses take book knowledge as the only teaching content,
teaching is simplified to "teaching", learning is equivalent to "learning from books", and
teaching activities are limited to experience and cognitive activities [15-16].
Table 1. Questions, structure and reliability test of the questionnaire of the practical part of the
teaching content of the basketball specialization course
Title
Component
Practical ability
Technical and
tactical skills
Teaching the game 895
Practice of field command and refereeing 745
Basketball special physical training 741
Basketball tactics teaching and training 667 514
Teaching and training of basketball techniques 895
Teaching and training skills practice 480
Characteristics Root 2.416 1.377
Cumulative explanation rate of variance (62.555%) 40.271 % 22.284 %
Cronbach's alpha coefficient (0.730) 751 464
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Using principal component analysis with Varimax orthogonal rotation [17], two
factors with characteristic roots greater than 1 were extracted to explore the structure
of the practical part of the teaching content of the basketball specialization course.
In the 2-factor structure, the Kaiser-Meyer-Olkin value for the 6 topics was 0.671
and Bartlett's Test of Sphericity Approximate (15) = 100.197 (p < 0.001), indicators
that the topics are suitable for exploratory factor analysis. 2 The cumulative variance
explained by the 2 factors reached 62.555%. The topic of basketball tactical
instruction and training was highly loaded in both factors, but basketball tactical
instruction and training was categorized as the second factor based on previous
teaching experience. 2 factors measured the practical part of the basketball
specialization course content in terms of f1 practical ability and f2 technical and
tactical ability, respectively.
The total score of each factor is then calculated, followed by the normalized score
of the factor score according to the following algorithm: normalized score = (x-min)/
(max-min); the normalized score takes the value of each factor score to be between 0
and 1, which is the scoring rate of each factor.
Practical ability is 1=(practical ability-3)/12. There are 3 questions in this factor,
each question has a minimum value of 1 point and a maximum value of 5 points, so
the minimum value of this factor is 3 points and the maximum value is 15 points.
Technical and tactical ability is 1 = (technical and tactical ability - 3)/12. There are 3
questions in this factor, each question has a minimum value of 1 point and a
maximum value of 5 points, so the minimum value of this factor is 3 points and the
maximum value is 15 points.
The mean value after normalization was 0.10417, and the practical ability was
significantly greater than the technical and tactical ability, with p less than 0.001. The
three topics consisting of practical ability of teaching and competition, the practice of
clinical command and refereeing, and basketball special physical fitness training were
relatively favored by basketball special teachers. The three topics of teaching and
training of basketball tactics, teaching and training of basketball techniques and
practice of teaching and training ability, which consisted of technical and tactical
ability, were relatively unpopular, and the reasons for this may be related to the
training objectives of basketball specialization courses in each school, where teachers
pay more attention to the cultivation and education guidance of students' practical
ability.
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2.2. STUDY ON THE ADAPTABILITY OF THE
THEORETICAL PART OF BASKETBALL TEACHING
WITH THE ASSISTANCE OF WECHAT SECURITY
Table 2. Questions, structure and reliability test of the questionnaire of the theoretical part of
the teaching content of the basketball specialization course
The structure of the theoretical part of the teaching content of the basketball
specialization course was explored by using principal component analysis with
Varimax orthogonal rotation and extracting three factors with characteristic roots
greater than one.
In the 3-factor structure, the KAISER-MEYER-OLKIN value for 13 questions was
0.838 and Bartlett's Test of Sphericity Approximate (78) = 541.460 (p < 0.001),
indicating that the questions were suitable for exploratory factor analysis. The
cumulative variance explained by the 3 factors reached 70.992%. f1 Athlete quality, f2
Athlete management and f3 Athlete theory were measured in 3 aspects of the
theoretical part of the basketball specialization course content. Factor 1 Athlete quality
consists of 7 topics such as basketball injury, prevention and rehabilitation, scientific
research work in basketball, nutrition and recovery of basketball players,
psychological training of basketball players, basic quality and coaching requirements
of senior basketball coaches, basic quality and development of high-level referees
and basketball awareness and its development, which require students to have high
advanced quality in research and training [18-20]. Factor 2 Athlete management, on
the other hand, consists of three topics such as organization and management of
basketball competitions, basketball rules and officiating law and selection and training
of children and youth basketball players, requiring students to be able to be not only a
qualified referee, but also to approach management-oriented personnel for youth
Title
Component
1 Quality
of athletes
2 Athlete
management
3 Athlete Theory
Basketball Injuries
Basketball sports scientific research work 908
Nutrition and recovery of basketball players 837
Mental training of basketball players 819
Basic quality and coaching requirements for
senior basketball coaches
737 624
Basic quality and development of high-level
referees
676
Basketball awareness and its cultivation 644 815
Organization and management of basketball
competition
606
Basketball rules and referee law 831
Selection and training of children and youth
basketball players
877
Theory and methods of basketball teaching 631 901
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selection and training. Factor 3 Athlete Theory is composed of three topics such as
basketball teaching theory and methods, basic basketball theory and basketball
training theory and methods, etc. Factor 3 tends to the theoretical knowledge of
basketball teaching and training.
Then, based on the above factors, the total score of each factor is calculated, and
then the normalized score of each factor is calculated according to the following
algorithm: Normalized score = (x-min)/(max-min); the normalized score takes the
value of each factor score to be between 0 and 1, which is the scoring rate of each
factor.
The athlete quality is 1=(athlete quality-7)/28. There are 7 questions in this factor,
and each question has a minimum value of 1 point and a maximum value of 5 points,
so the minimum value of this factor is 7 points and the maximum value is 35 points.
Athlete Management 1 = (Athlete Quality - 3)/12. There are 3 questions in this
factor, each question has a minimum value of 1 point and a maximum value of 5
points, so the minimum value of this factor is 3 points and the maximum value is 15
points.
Athlete Theory 1 = (Athlete Quality - 3)/12. There are 3 questions in this factor,
each question has a minimum value of 1 point and a maximum value of 5 points, so
the minimum value of this factor is 3 points and the maximum value is 15 points.
Table 3. Descriptive statistics of the three factors of the theoretical part of the teaching
content.
Table 4. Repeated-measures ANOVA for the mean score rate of the three factors
Table 5. Post hoc test of the mean score rate of the three factors
Factor 1 Mean value Standard deviation
Athlete Quality 247 25
Athlete Management 152 20
Athlete Theory 128 17
Error source Sum of squares df mean square F Sig.
Intra-group variation 505 2 253 19.032 0
Error variation 1.672 126 13
(I) Factor 1 (J) Factor 1 Difference of means (I-J) Standard error Sig.b
1
2 94 20 0
3119 22 0
2 3 25 20 629
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Table 3 shows that the highest mean value is the athlete quality factor and the
lowest mean value is the athlete theory factor; the repeated measures ANOVA in
Table 4 shows that there is a significant difference between at least one pair of the
three-factor means in the two-way comparison; the two-way post hoc comparison in
Table 5 shows that there is a significant difference between the mean values of Factor
1 and Factor 2 and Factor 3, and there is no significant difference between the mean
values of Factor 2 and Factor 3.
Figure 1. The trend of the average score of the factor of the theoretical part of the teaching
content of the basketball specialization course
To sum up, we can see that the factor of athlete quality is very important content for
basketball teachers in the teaching process. In different basketball eras, along with
the rapid development of social and political economy, the demand of society for
talent tends to be diversified, and no longer stays in single talent demand. Factor 2
and factor 3, on the other hand, are old-fashioned contents, which is less and less
valued by teachers and students.
2.3. BUILDING A BASKETBALL TEACHING MODEL BASED ON
KINECT MOTION CAPTURE AND JOINTS
The Kinect sensor uses Prime Sense's illumination encoding technique to acquire
depth information, Light Coding uses infrared light to measure space, and CMOS
sensors to read the encoding of light. These encodings are then analyzed by chip
decoding calculations to eventually produce a depth image information [21-22]. Light
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Coding differs from traditional TOF and structured light measurement techniques by
using light waves instead of the previous pulses, and no special photosensitive chip is
required, only a common CMOS photosensitive chip, a change that reduces the cost
of the solution. Light Coding uses light waves to measure a specific region of space,
so Light Coding is essentially a structured light technique [23-24]. However, unlike
conventional structured light, the light emitted is not a periodic variation of image
coding, but an encoded light source with three-dimensional depth [25].
To build an efficient basketball teaching and training safety aid system, image
processing techniques can be used to mark the joint points of the arm and analyze the
athletes' movement trajectory to recover the athletes' technical movements and obtain
the required parameters. Therefore, athlete modeling consists of 2 stages as
described above. In stage (1), focus on the shot preparation, raising the arm,
squatting and extending; in stage (2), mark the speed and angle of the shot. The
optimal shot data can be calculated so that the same shot data can be used to
continuously train the athlete to develop muscle memory and can effectively improve
shot accuracy [26-27]. The pitcher's arm joint model is shown in Figure 2.
Figure 2. Arm joint model
Assume that the shoulder joint A, elbow joint B and wrist joint C are represented by
. The pixel area of each marker is represented by
, and
the number of pixel points of the corresponding pixel block
. The pixel
block is as follows:
(1)
In the above equation, and
represent the coordinates of the pixels marked in
the video image, respectively. The coordinates of the center of mass of each pixel
block can be used as the coordinates of the 3 joints in the shooting process. The
formula is as follows:
(2)
(3)
(4)
Change over time:
(5)
According to the above equation, the objective function is defined as:
Mi(i= 1,2,3)
Gi(i= 1,2,3)
Li(i= 1,2,3)
Gi
Gi={(x1,y1), (x2,y2), (x3,y3), (xn,yn)}
xi
yi
( ) ( )
, ,
m c c
P x y C x y=
1
1
i
n
c i
i
i
X x
n=
=
1
1i
n
c i
i
i
Y y
n=
=
Yc
( )
c
y f t=
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(6)
Where, represents the residual error and represents the regular term. It
can be obtained by differential equations, matching tracking, etc. . The time from
preparation to shooting can be expressed by the following equation:
(7)
where indicates an inverse take. In the training safety aid system, the number
of frames should be an integer. In the coordinate axis system, the maximum number
of frames, T, on the axis is denoted as .
(8)
For the recognition and characterization of human curves, the Hough transform
algorithm is used [28-29]. The Hough transform algorithm is a parametric aggregation
algorithm for voting through the point-to-point pairwise and Hough parameter spaces
in image space, which transforms image detection into a parametric computational
problem, thus making the problem more intuitive and accurate. The Hough transform
algorithm has been widely used in video image processing, and after years of
research, the application range is even wider. It plays an important role not only in
video image processing, but also in access control systems, industrial inspection and
even military activities. It can effectively reduce the influence of external factors such
as noise and solve the problem of incomplete and interrupted video. For example, the
equation of the circle is as follows:
(9)
a and b are the centers of the circle, while r is the radius. In the coordinate system
of the safety-assisted training system, the point (x, y) is unknown. And (a, b) and
radius r are the input conditions, then the equation of the above circle can be rewritten
as:
(10)
In the above equation, there is an exchange between and , while
and are unknown, so
is converted to a known number. It is known by
calculation that in the whole image space, when there are valid feature points ,
there exists a cone space with corresponding threshold values. Each effective feature
point in the image space corresponds to a cone in the parameter space. The
difference at the same point in the image space corresponds to the cone in the
parameter space, and the two cones will inevitably intersect at the same point. The
process records the variables of repeated points with the same parameters by
initializing the 3D accumulator in the parameter space.
0 0
1 2
arg max . .
c
y s t y y ε <
ε
y
0
1
y0
( )
1
0 0
t y
=
1
y
1
(y0
)
( )
0
1T g t= +
( ) ( )
2 2 2
x a y b r+=
( ) ( )
2 2 2
a x b y r+=
(x,y)
(a,b)
(a,b)
r
(x,y)
(x,y)
(x,y)
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2.4. BASKETBALL TEACHING QUALITY EVALUATION SYSTEM
BASED ON THE FUZZY SYNTHESIS
First, the set of evaluation indicators (thesis domain) Y, which describes the
indicators or criteria for the comprehensive evaluation of various evaluation factors,
denoted as:
(11)
Where is each evaluation indicator or criterion and n is the number of
evaluation indicators.
The set of evaluation metrics can also be a collection of multilevel recursive
structures [30-31].
For different evaluation indicators, the weight F domain can be calculated
according to different weight calculation methods, such as hierarchical analysis,
weighted average method, Delphi method, expert estimation method, etc., and the
weight F domain is noted as
(12)
Second, the set of evaluation scales G, which describes the scale used to evaluate
each evaluation indicator, is denoted as
(13)
Where m is the number of evaluation scales in the evaluation scale set.
The grading of the evaluation scale can be done in a graded manner or a score
manner, such as
(14)
Third, the affiliation degree
, describes the degree of possibility of making an
evaluation scale with an evaluation index for the evaluation factor
. The
affiliation degrees of all evaluation indicators for the scenario
from the affiliation
matrix , which is a fuzzy relationship matrix, denoted as
(15)
In the matrix , the element
can be calculated based on the evaluation results
made by the experts participating in the evaluation, i.e.
(16)
Y= (y1,y2,,yn)
y1,y2,,yn
F= ( f1,f2,,fn)
G= (g1,g2,,gm)
( )
0.8, 0.6, 0.4, 0.2G=
vs
ij
gj
yi
As
As
Vs
11 12 1 1
21 22 2 2
1 2
1 2
s s s s
j m
s s s s
j m
ss s s s
i i ij im
s s s s
n n nj nm
V V V V
V V V V
VV V V V
V V V V
=
Vs
vs
ij
s
ij
s
ij
b
vb
=
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where denotes the number of experts participating in the evaluation, and
denotes the number of experts who make evaluation scales for the i-th evaluation
indicator of the program . Obviously, .
3. OVERALL EXPERIMENTAL SCHEME DESIGN
3.1. EXPERIMENTAL SUBJECTS AND GROUPING
The pre-tests of basic basketball skills and physical fitness were conducted in two
classes of public physical education basketball elective course of Inner Mongolia
Normal University in the first semester of academic years 2021-2022, and 32 healthy
students, without special diseases and with no statistically significant differences in
basic basketball skills and physical fitness were selected as experimental subjects in
the two classes respectively. The two classes were randomly divided into the control
group and the experimental group for teaching experiments, and the experimental
group adopted the reciprocal teaching method with the assistance of WeChat security,
while the control group adopted the traditional teaching method for teaching
experiments[32-33].
3.2. MACRO AND MICROSTRUCTURAL DESIGN OF WECHAT
SAFETY-ASSISTED CAMPAIGN EDUCATION MODEL
The physical education teaching process is a structure and procedure for carrying
out various effective teaching activities in a planned and purposeful manner to
achieve the teaching objectives. The design of the teaching process directly affects
the implementation of the teaching model, therefore, the effectiveness of teaching
depends on the scientific and operational design of the teaching process. In the
process of the theoretical exploration of the SE model, Gao Rong made the top-level
design from macro and micro levels to enhance the operability of the model to make it
more in line with the actual situation of Chinese school sports, and this study will also
make the top-level and detailed design from both macro and micro aspects. From the
macro perspective, the SE model differs from the conventional teaching model in the
setting of teaching units. The sports education model divides the whole semester
teaching into several phases, which is the setting of the sports season in the SE
model, and the sports season includes 5 phases, which are sports season
preparation, pre-game season, in-game season, post-game season and celebration
activities. The micro perspective mainly includes the setting of classroom teaching
structure, the allocation of classroom teaching time in different teaching phases of the
sports season, the design of the sports season teaching plan, the design of teaching
evaluation and the preparation of lesson plans.
b
bs
ij
gj
yi
As
m
j=1
vs
ij =
1
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Figure 3. Teaching structure of WeChat safety-assisted movement education model
3.3. CONTENT SCHEDULE OF TEACHING EXPERIMENTS
In addition to the test week, the design of the teaching experiment includes
basketball skills practice, physical fitness class practice, etc. The total number of 10
weeks of the teaching experiment, the detailed arrangement of the teaching lesson
plan is as follows:
1. Physical fitness pre-test (30s push-ups, standing long jump, five-lane folding run on
the basketball court).
2.
basic basketball skills test (30s double pass and catch, half-court folding and
dribbling, 1min shooting from outside the reasonable rushing zone).
3.
Ballistic exercises, newly taught learning principles of two-handed chest passing
and catching.
4. Learning to pass the ball in situ with both hands on the ground, physical drills.
5. Introduction to learning the two-handed chest pass between rows.
6. Learning in situ one-handed over-the-shoulder shooting.
7. Review the marching one-handed over-the-shoulder shot.
8. Review of the in-situ one-handed shoulder shot.
9. Physical fitness post-test, classroom contextual interest survey.
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3.4. TEACHING PROCEDURES OF TRADITIONAL TEACHING
METHOD AND RECIPROCAL TEACHING METHOD WITH
THE ASSISTANCE OF MICROSOFT SECURITY
The traditional teaching method and the reciprocal teaching method with the
assistance of micro-video security are similar in terms of organization and method in
the early stage of the class, mainly the teacher organizes the formation and explains
and demonstrates, but the biggest difference between the two is mainly in the
organization of students' practice and the correction and guidance of wrong
movements.
(1) In the traditional teaching method, when teaching technical movements,
teachers first explain and demonstrate and then let students imitate and practice,
correct errors and help, and finally teach through reinforcement exercises, students
mainly practice collectively in groups and independently, and teachers' feedback to
students is mainly language tips and individual error cases focused on explaining.
Figure 4. Flow chart of traditional model teaching
(2) Under the teaching method of reciprocal teaching method with the aid of micro-
video safety, the teacher first conducts a centralized demonstration and explanation of
technical movements during the teaching process, and after the students carry out
collective consolidation exercises to deepen their memory, the teacher distributes the
standard movement videos designed in advance according to the teaching content to
the students, and explains to them how to use the standard movement videos,
introduces the roles of students and teachers, and then organizes the students to
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practice according to The teacher will then organize students to practice in free teams
according to the learning content. This is shown in Figure 5.
Figure 5. Flowchart of teaching and learning under WeChat security-assisted campaign
3.5. SCHEMATIC DIAGRAM OF TEACHER-STUDENT
COMMUNICATION STYLES FOR DIFFERENT TEACHING
METHODS
In traditional teaching methods, the teacher usually communicates directly with the
practitioner and gives direct feedback to the student on the problems that arise during
practice. Students are usually divided into groups of two or more, and given the roles
of practitioner and observer. During the practice, the teacher walks around and
communicates with the observer, and the observer gives feedback to the practitioner
based on his or her observation and communication with the teacher. The specific
communication style is shown in Figure 6:
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Figure 6. Diagram of teacher-student communication style
3.6. ANALYSIS OF EXPERIMENTAL RESULTS
3.6.1. COMPARATIVE ANALYSIS OF TWO-HANDED CHEST
PASS PERFORMANCE
From the data in Figure 7, we can see that the experimental class achieved
3.16±1.609 (passes) and 82.38±8.450 (points) in the 4-m fixed distance pass into the
zone, while the control class achieved 2.19±1.401 (passes) and 77.88±8.958 (points).
t number=2.067, t technical evaluation=2.569; P number=0.043<0.05, P technical
evaluation=0.013<0.05. In conclusion, there were significant differences between the
experimental class and the control class in the experimental post-test scores of the
two-handed chest pass technique, both in terms of standard scores and technical
evaluation scores, and the experimental class had better scores than the control
class.
Figure 7. Comparison of two-handed chest pass performance
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The ratio of males to females in the experiment is 1:3, with more girls. For girls, it is
difficult to pass the basketball into the hoop flatly and quickly by upper limb strength
alone, so the three technical aspects of stirrups, extensions and paddles must be
consistent to fully transform the power of lower limb stirrups into the power of passing,
and then improve the power, direction and speed of passing. In the traditional
teaching method, students can only think about the technical movements from the
practitioner's perspective, but in the reciprocal teaching method, students can learn
the technical movements from different perspectives and have a deeper
understanding of the technical movements while observing their teammates' practice,
which has a good promotion effect on mastering the power and coherence of the
technical movements of the passing ball.
3.6.2. COMPARATIVE ANALYSIS OF MARCHING LAYUP
PERFORMANCE
After the experiment, the learning effect of marching one-handed over-the-shoulder
shooting in the experimental and control classes was tested by using half-court dribble
folding marching layup as the test index, and the specific test results were tested by
SE independent sample t-test as shown in Figure 8:
Figure 8. Comparison chart of marching layup scores
The data in Figure 8 shows that the experimental class achieved 35.18±9.167
(seconds) and 84.72±10.798 (points) in the half-court dribbling fadeaway layup, while
the control class achieved 41.27±11.723 (seconds) and 78.63±11.370 (points). t
values were t time=-2.316, t technical evaluation=2.198, t time=0.024<0.05, t technical
evaluation=0.032<0.05. In conclusion, there were significant differences between the
experimental class and the control class in the experimental post-test scores of the
marching lay-up technique, both in the attainment scores and the technical evaluation
scores, and the experimental class had better scores than the control class.
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Due to the limited practice time, the teacher can only correct some students or
collectively correct them according to the common problems in the process of
practice, which makes some students' problems in the process of practice not solved
in time, and at the same time, students' attention may be distracted in the
independent practice, so the frequency of violation or poor hit rate in the final test is
higher than that of the experimental class, resulting in lower average scores in the
standard and technical evaluation than the experimental class.
3.6.3. COMPARATIVE ANALYSIS OF ONE-HANDED OVER-THE-
SHOULDER SHOOTING PERFORMANCE
The data in Figure 9 shows that the experimental class achieved 3.63±2.282
(shots) and 82.28±7.857 (points) for the 4.8 m fixed distance one-handed over-the-
shoulder shot, while the control class achieved 3.09±1.957 (shots) and 74.72±8.224
(points). t number=1.000, t technical evaluation=3.757. This shows that there is a
statistically significant difference between the technical evaluation scores of the
experimental class and the control class in the post-test of one-handed over-the-
shoulder shooting, and the experimental class has better scores than the control
class; however, there is no statistically significant difference between the attainment
scores of the experimental class and the control class, so the students are learning
the one-handed over-the-shoulder shooting technique. However, there was no
statistically significant difference between the experimental class and the control class
in terms of attainment scores.
Figure 9. Comparison of one-handed over-the-shoulder shooting performance
The one-handed shoulder shot has the advantage of a high shooting point and is
not easy to be targeted by the defense, but it is also the most difficult to learn. The
one-handed shoulder shot consists of several technical aspects such as basic
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standing posture, bending knee and stirrups, top elbow, arm extension and wrist
paddle, etc. The technical aspects are interconnected, and any disconnection in the
shooting process will lead to deformation of the shooting action, which will affect the
shooting action. The standardization of the shooting action is affected. The study
confirmed that timely feedback among students in learning basketball one-handed
over-the-shoulder shooting can significantly improve students' performance in
shooting skills.
4. CONCLUSION
This paper addresses the shortcomings of the traditional basketball teaching model
in the Internet era, proposes a new idea of basketball teaching based on the WeChat
safety-assisted sports model, constructs a basketball teaching model based on Kinect
motion capture and joint behavior, and uses a fuzzy evaluation system to classify and
discriminate the proposed method. Analysis using multiple experimental control
groups shows that the Microsoft safety-assisted sports education model proposed in
this paper has stronger motivation for students to learn basketball compared with the
traditional teaching model; students learn to understand and master basketball
through teamwork, team communication and role-playing strengthen students'
emotional experience; the creation of real game atmosphere and game creation
enrich students' game experience. All of these are conducive to meeting students'
basic psychological needs, thus contributing to the enhancement of internal motivation
and the internalization of motor motivation.
DATA AVAILABILITY
The data used to support the findings of this study are available from the
corresponding author upon request.
CONFLICTS OF INTEREST
The author declares that there is no conflict of interest regarding the publication of
this paper.
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