Construction of Network Multimedia Teaching Platform

Research ArticleConstruction of Network Multimedia Teaching PlatformSystem of College Sports

Wumei Li and Xiaorui Fan

Department of Physical Education Shandong Management University Jinan 250300 Shandong China

Correspondence should be addressed to Xiaorui Fan 14438120191461sdmueducn

Received 19 May 2021 Revised 13 June 2021 Accepted 1 July 2021 Published 14 July 2021

Academic Editor Sang-Bing Tsai

Copyright copy 2021Wumei Li and Xiaorui Fanis is an open access article distributed under the Creative Commons AttributionLicense which permits unrestricted use distribution and reproduction in any medium provided the original work isproperly cited

With the development of computer technology and related disciplines the application of multimedia technology to education israpidly becoming the mainstream technology of educational technologyis article mainly researches the construction of collegesports network multimedia teaching platform system e physical education management module is the main module in thissports network teaching platform erefore the physical education management module is tested in the testing process Eachmodule adopts a black box test method In the system analysis by dicing slicing rotating and other operations on the datawarehouse constructed with the studentrsquos performance data the data are observed from different angles which is convenient forthe teacher to understand the teaching effect is article adopts the method of grade evaluation to finally determine a number ofindicators that are not contradictory and nonrepetitive e end of a teaching unit or a series of teaching activities must beevaluated at different levels e biggest difference between process evaluation and summative evaluation is that it not onlyattaches importance to objective measurement and quantitative analysis but also attaches importance to the subjective judgmentand qualitative analysis of both teaching parties which requires a combination of the twoe test environment of the system is tosimulate the real operating environment of the system A cloud computing service platform is built in the schoolrsquos centralcomputer room to provide services such as dynamic resource scheduling and dynamic load balancing ere are very few schoolsthat use college sports networks to develop educational functions only reaching 78 of the total number of campus networkseresults show that the multimedia teaching platform greatly promotes the teaching effect of college physical education

1 Introduction

With the rapid development of modern production andscience and technology the total amount of knowledge hasincreased sharply and the speed of knowledge update hasaccelerated unprecedentedly which puts forward new andhigher requirements for our teaching e emergence ofonline teaching has greatly eased the pressure caused by theshortage of facilities and teachers e implementation ofteaching on the network cannot be restricted by time spaceand other conditions and use the characteristics of thenetwork to solve the problems that arise From the per-spective of mobilizing studentsrsquo learning enthusiasmphysical education network teaching can also make studentschange from passive knowledge receivers to active ones

Multimedia teaching is to transfer relevant scientificinformation to students through this rich and diversecarrier hoping to improve studentsrsquo mastery and under-standing of relevant scientific knowledge through teachingmethods Some colleges and universities and the majorityof sport fans who have not been able to gain professionalsport knowledge for some reasons can also gain sportknowledge anytime and anywhere through the onlineteaching platform by this way the sharing of teachingresources is maximized With the timeliness interactivityand display of multimedia network sports learning can bebrought to families communities and even any place withnetwork so as to provide online learning guidance andhelp for more college students and nonschool sportslovers

HindawiMathematical Problems in EngineeringVolume 2021 Article ID 6304703 11 pageshttpsdoiorg10115520216304703

With the continuous development of network multi-media technology and the continuous improvement ofteaching conditions in universities computers as a moderntool have become popular in the teaching field e purposeof Armenteros is to enhance peoplersquos understanding of thedifferent behavioral intentions of referees and assistantreferees in different FIFA leagues and use multimediateaching materials as learning tools In order to evaluate therelationship between the structures he developed an analysisbased on structural equation modeling (SEM) especiallypartial least squares (PLS) Although his research model hashigh accuracy there are certain loopholes [1] In order toimprove the multimedia control performance of teachingZheng proposed a multimedia engineering teaching systemdesign model based on Internet of things technology Basedon the embedded ARM core he constructed the overallstructure model of the real estate engineering multimediateaching system design He realized the integrated control ofthe system through the decentralized control method andcompleted the overall design framework of the real estateengineering teaching system Although his research hasextremely high human-computer interaction the experi-mental accuracy is not high [2] Abdurasulovich makes atheoretical analysis of the development of Education undermodern conditions the direction of management methodsand the application of information technology in highschools and universities He proposed research based onmodern forms methods and tools (including multimediatechnology) e basic method of overall development isbased on multimedia technology e analysis of the ex-perience of world education development shows three maintraditions of development the development of curriculumtheory the concept of permanent education and the idea ofability clef His research content is more detailed but there isa lack of specific algorithm [3] Liu thinks that with thedevelopment of multimedia technology multimedia-basedteaching has become a popular way of education He mainlystudies rule extraction algorithm based on incompletemultiexpert fuzzy linguistic formal decision context Hediscussed the corresponding confidence in the concept offuzzy linguistic decision-making and the support of lin-guistic decision-making rules Based on the formal contextof fuzzy language he constructed the concept lattice ofmultiexpert fuzzy language to deal with the evaluation in-formation of multiexpert language In order to solve theproblem that the weight of experts is unknown he proposeda method to maximize the deviation in the context ofmultiexpert fuzzy linguistic form through the distance oflinguistic evaluation matrix In addition he developed alanguage aggregation operator for multiexpert fuzzy lin-guistic concept lattice to obtain association rules But hisresearch method is more practical but there is a lack ofnecessary data [4]

is paper analyzes the network course constructionmechanism of Chinarsquos sports network course and the au-dience of the network course of Chinarsquos sports networkcourse so as to intuitively find the relevant feedback ofcollege students on the application of sports network courseso as to provide reasonable suggestions for the network

course construction of Chinarsquos sports network course so asto further improve the physical education teaching system ofcolleges and universities in China Using the existingcomputer technology university network communicationtechnology data storage and other technologies choosingmature reliable and practical system platform developmentplatform and management platform can ensure the smoothand free sharing of regional university sports network ed-ucation resources in the region and support the normaloperation of the system e innovation of this article is touse the existing computer technology and data storagetechnology to construct and improve the teaching platformsystem

2 Multimedia Teaching Platform System

21 College Sports Network e essence of the onlineteaching platform is a special-purpose teaching and col-laborative learning system based on Internet resourceswhich provides audiences with a large number of special-learning Internet resources and tools for collaborativelearning and communication through the Internet and letsthe audience independently choose topics and projects ofinterest to research e higher the professional level of theconstruction of the sports network teaching platform thehigher the requirements for the website builders andmaintainers e professional training of the system must beaccepted in order to better construct and play the value of thewebsite [5 6]

e construction and maintenance of any website re-quires a staff with professional skills so colleges and uni-versities must cultivate sports information managementtalents maintain themanagement update of sports websitesand make better use of the rich resources of the school toachieve resource sharing In the process of teachersrsquoimplementation of teaching teaching design plays a veryimportant role It is necessary to strengthen the planning ofteachersrsquo teaching and the planning of studentsrsquo learning sothat the teaching design is scientific and it can effectivelypromote the success of learning [7]

is teaching design is based on the studentrsquos dominantposition and is dedicated to improving the enthusiasm andinitiative of the students At the same time the teacher playsa supporting role Among them teachersrsquo teaching activitiesand studentsrsquo learning activities are parallel eory teachingand technical teaching are inseparable in college physicaleducation eory teaching is the foundation of collegephysical education and technical teaching is the practice ofcollege physical education erefore in college physicaleducation the unity of theory and practice is very importantPhysical education in colleges and universities also need topay attention to the timely communication and interactionbetween teaching and learning in the teaching process [8]

Physical education in colleges and universities also paysattention to the implementation of individualized teachingbased on personal preference and development Each or-dinary node in the group needs to maintain a state table eaddress information of the super nodes in the group is savede node only chooses to establish a connection with one of

2 Mathematical Problems in Engineering

the super nodes When the connected super node suddenlyfails and the connection is interrupted the ordinary nodewill choose another super node as its own super node [9 10]

22 Multimedia Teaching Platform In the rapid develop-ment of the information age new multimedia technologyhas spread digital data through the Internet platform Itsbiggest feature is that it can transmit multimedia infor-mation pages processed by professional editing and pro-duction system to each multimedia electronic terminal [11]Since then multimedia technology can start to say goodbyeto the one-sided and imparting characteristics and changeinto the technology mode of interaction on multimediadevices is new technology will make the dissemination ofinformation more convenient and rapid and turn the in-formation transformation and interaction into the instan-taneous mode Multimedia teaching is the combination oftext graphics animation video audio and other multi-media elements so as to stimulate learnersrsquo multiple sensesin teaching and enhance their understanding and memoryso as to improve the quality of teaching but we should notpay too much attention to the gorgeous courseware butshould pay more attention to the combination of its sci-entific nature teaching nature and studentsrsquo interaction[12]

e utilization rate of the virtual central processing unitat time t is

Uvcpu(t) tu + ts + tio + tirq + tsi

ttotal 1 minus

tidle

ttotal (1)

e expression of the prediction model is as follows

Uvcpu(t) cup tminus1i1wi(L) (2)

Among them wi is the affine transformation obtained bythe principle of statistics

e occupancy rate of the virtual central processing unitis calculated by weighted average and the expression is asfollows

Uvcpu(t) (1 minus c) times Uvcpu(t minus 1) + c times Uvcpu(t) (3)

Let Qcpu be the parallelism of the physical central pro-cessing unit then

Qcpu lvq

nvcpu (4)

e probability vector that a user clicks on a certainresource in the future k time intervals is

P(t + k) P(t)Pk P(t)P(k)1 (5)

e weight of a certain queue is

Wi a0 1113944

k

j1WTj + 1113944

m

l1alWiminusl (6)

According to experimental statistics the value ofM is 3and the geometric sequence with a common ratio of 2 hasthe best effect Inferred from experimental data

W0 a0 1113944

k

j1WTj

W1 a0 1113944

k

j1WTj + a1W0

W2 a0 1113944

k

j1WTj + a1W1 + a2W0

(7)

Let Ti ti minus timinus1 en Ti satisfies the probability dis-tribution function

FTi|timinus1t|timinus1( 1113857 1 minus e

minus λ(t)t (8)

If y1 y2 yn is an independent observation datasetbased on a semiparametric partial regular regression modelX1 X2 Xn is the corresponding common variable andu1 u2 un is the corresponding nonlinear variable enξ (σ2 λ βT gT)T can obtain the log likelihood function asfollows

L(ξ) 1113944n

i1log 2 minus

12log 2π minus

12log σ2 minus

yi minus XTi β minus g ui( 11138571113872 1113873

2

2σ2+ log Φ ki( 1113857⎛⎝ ⎞⎠ (9)

e P-spline can be used to estimate the unknownsmoothing function g(middot) According to the smooth char-acteristic of P-spline the virtual function g(middot) can beexpressed as follows

g(u) B(u)Tα α1u + α2u

2+ middot middot middot + αpu

p+ 1113944

k

i1αp+i u minus si( 1113857

p+

(10)

e error covariance equation can be expressed by thefollowing formula

1113954Pk Akminus1Pkminus1ATkminus1 + Q (11)

After the standing phase is detected the gravity mea-sured by the accelerometer can be used to complete thecorrection of the system state e correction process can bewritten as follows

Mathematical Problems in Engineering 3

xk 1113954xk + Kk ak minus Hg( 1113857

Pk I7times7 minus KkHk( 11138571113954Pk(12)

where Kk is the Kalman filter gain which can be obtained bythe following formula

Kk 1113954PkHTk Hk

1113954PkHT

+ R1113872 1113873minus 1

(13)

e state equation of the moving target in the Cartesiancoordinate system is

x(k + 1) F(k)x(k) + Γ(k)v(k) (14)

Here x(k) isin Rntimes1 is the target state vector at time k [13]

23 SystemDesign Network teaching platform is a platformto support sharing and interaction which provides a certainguarantee for studentsrsquo learning quality and conforms to theunified standards It is an essential teaching support plat-form for modern network teaching e dynamic process ofinformation dissemination is shown in Figure 1 e dy-namic communication process of the six stages of educa-tional communication theory also provides strongtheoretical support for network teaching e networkteaching platform also abides by the above six stages in theprocess of teaching information communication especiallyin the evaluation feedback stage e interactivity andconvenience of the network teaching platform are moreconducive to the mutual communication between teachersand students and to the timely feedback of evaluationopinions by teachers [14]

e network architecture is the structure and technicalfoundation of the communication network of the deploy-ment system and the network architecture must be able tomake user access safe Combining the needs of multimedianetwork teaching in higher vocational colleges its usersinclude teachers academic users and administrators in theschool as well as student users outside the school ereforethe system includes both the school network and the off-campus network e school users can access the teachingplatform resources at high speed e students outside theschool can access the teaching platform remotely throughthe authentication of identity authority In order to deter-mine the reliability of the system and the security of datatransmission data backup processing is realized throughdual heat engines on the server side [15 16]

3 Multimedia Teaching System Simulation

31 Experimental Environment e server operating systemconfiguration is shown in Table 1 e system adopts a BSthree-tier system structure based on ASP NET technologyunder the NET Framework framework through VisualStudio integrated development tools and C language forsystem design and implementation

32 Testing of the Teaching Platform e physical educationmanagement module is the main module in this sportsnetwork teaching platform erefore the physical

education management module is tested in the testingprocess Each module adopts a black box test method In thesystem analysis by dicing slicing rotating and other op-erations on the data warehouse constructed with the stu-dentrsquos performance data the studentrsquos performance data isobserved from different angles which is convenient for theteacher to understand the teaching effect rough datamining technology rules that are instructive to physicaleducation can be obtained [17 18]

33 Construction of Teaching Evaluation System e mul-timedia classroom teaching quality evaluation system makesclassroom teaching related evaluation indicators specificdiversified and objective is article adopts the method ofgrade evaluation to finally determine a number of indicatorsthat are not contradictory and nonrepetitive e end of ateaching unit or a series of teaching activities must beevaluated at different levels e biggest difference betweenprocess evaluation and summative evaluation is that it notonly attaches importance to objective measurement andquantitative analysis but also attaches importance to thesubjective judgment and qualitative analysis of both teachingparties which requires a combination of the two [19]

34 System Test Because the real-time management data ofthe remote network teaching platform needs to maintainstrict consistency and the cooperative work system is ba-sically sequential we adopt the centralized control distrib-uted system structure which is easy to implement andcontrol in the software architecture design of the remotenetwork teaching platform [20 21] When the system isrunning it adopts multiserver and object message sharingmechanism so it can improve the response speed reduce thedelay reduce the network traffic and avoid the problems ofsingle server e test environment of the system is tosimulate the real running environment of the system build acloud computing service platform in the central computerroom of the school and provide dynamic resource sched-uling dynamic load balancing and other services [22] emain function of the client subsystem is to realize theteaching on demand of the resources that users are inter-ested in Users can obtain the content of resources throughthe teaching platform recommendation search and otherways and use the built-in streaming media player to realizethe presentation of streaming media data [23]

35 Multimedia Teaching Survey e collected question-naires were processed by Excel software and the tables andcharts were drawn according to the data e test method ischi square teste reliability of the questionnaire was testedby retest method [24]

4 System Simulation Results

41 Performance Analysis We tested and recorded thepracticability indicators in the performance indicators andused network simulation software to gradually increase the


number of concurrent processing users and observe thedelay of video on demand resources [25] e results areshown in Figure 2 When the number of simulated con-current operations continues to increase the time delay ofteaching video playback is also increasing but the increase isnot linear Because the system adopts a forecast-based re-source scheduling and equalization strategy the system has ascale of 5000 concurrent users e playback delay can beless than 2 seconds When 500 users interact with the serverat the same time that is when the concurrent user is 500 thesystem response time is 15 s When the concurrent user is2000 the system response time is about 3 s which is theinterval that the system can accept e system currentlysupports the largest 4000 users interact with the server at thesame time and the system response time is about 4 s

In order to test the resource scheduling algorithm basedon prediction the system designs a comparative test scheme[26] Under the same test case the system performanceunder two states of turning on the dynamic resourcescheduling function and turning off the resource schedulingfunction is tested respectively e test results are shown inTable 2 When the number of concurrent operators is in-creasing when the dynamic resource scheduling based onprediction is turned on the average delay of client-side VODis less because of the reasonable resource schedulingHowever when the function is not turned on the delay ofcourseware VOD is obviously increased which fully provesthe effectiveness of the dynamic resource schedulingalgorithm

e comparison of request cancellation rate under dif-ferent request intensity is shown in Figure 3 In terms of userrequest cancellation rate FCFS emphasizes fairness so it hasa higher cancellation rate Compared with MQL the can-cellation rate of MWQL and MEQL has dropped signifi-cantly According to different user request intensity anddifferent Zipf tilt factors we can see from the figure that thewithdrawal rate is the lowest In terms of average waitingtime FCFS emphasizes fairness which makes the waitingtime of user requests in the on-demand system the longeste average waiting time and user request intensity ofMEQL are significantly lower than those of MWQL andMQL It is not suitable for some special subjects and it isdifficult to reflect the individualization of physical educationcurriculum and teacher teaching especially the functional

system designed for the teaching characteristics of physicaleducation courses has not been well developed ereforecombining the characteristics of the teaching of physicaleducation disciplines to carry out research on the functionsof the teaching platform system so that the teaching designand system functions can be coordinated and improved andthe support for teaching and learning under the networkenvironment is more smooth which is an important re-search content to be strengthened in this research

e survey results of studentsrsquo understanding of infor-mation needs are shown in Table 3 Some sports networkeducation resources do not reflect the forefront of the de-velopment of sports nor update and enrich the content intime which cannot meet the needs of studentsrsquo learning andexercise 95 of the students in the experimental group werevery satisfied with the volleyball teaching attitude while 55of the students in the control group were very satisfied withthe volleyball teaching attitude It can be seen that studentsare more inclined to network multimedia system assistedteaching which has a positive role in promoting the culti-vation of studentsrsquo interest in learning e results of thequestionnaire also show that all the students in the exper-imental class can quickly master the use of the networkmultimedia tennis teaching system which shows that thestudents can operate the network multimedia teachingsystem on the existing network mastering technology whichshows that the system has good operability

University software facilities are shown in Figure 4 econstruction of information infrastructure in colleges anduniversities in our province has achieved initial results butthe overall level is not high which is far from the schools indeveloped areas Although our provincersquos economy is rel-atively backward education funding is tight but in order tokeep up with the pace of the times all schools have invested alot of money in the construction of multimedia classroomsand campus network but not many colleges and universitiesreally do network teaching under modern informationtechnology especially sports like volleyball teaching almostno school has its own teaching website For demonstrationability 626 of the students think it is very good and 316of the students think it is good for the explanation ability oftrack and field teachers 604 of the students think it is verygood and 331 of the students think it is good 543 of thestudents think it is very strong and 391 of the students

Confirminformation

Evaluationfeedback

Receiveexplanation

ChanneltransmissionSelect media

Adjust and send

Figure 1 e dynamic process of information dissemination

Table 1 Server operating system configuration

Server type Database server Application server Flow media servicesSoftwareconfiguration Solaris 9 Tomcat Windows20002003xp

vista Oracle 9i AS Windows media formatSDK

Windows mediaserver


think it is strong 576 of the students think it is very goodand 331 of the students think it is better in the cultivationof studentsrsquo innovative thinking ability 447 of the stu-dents think that the track and field teachers do well and386 of the students think that the track and field teachersdo well

42 Physical Education Teaching Effect e use of schoolsports website is shown in Table 4 From the survey resultsthe number of no professional sports undergraduate stu-dents who have not used sports website is more than thatwho have used sports website and the number of profes-sional sports colleges who have used sports website is morethan that who have not used sports website Because thesports website of no professional sports universities belongs

to the website of the school sports department in the se-lection of courses and query results system most schools areset up in the campus network and the sports website ofprofessional sports universities is its campus network somost students will use the campus network to query resultsdownload forms select courses and so on Among the 260people surveyed 102 had used it and 158 had not Amongthem 43 people in no professional sports universities haveused it accounting for 2457 132 people have not used itaccounting for 7543 Among 85 people in professionalsports colleges 59 people have used the school sportswebsite accounting for 6940 of the survey and 26 peoplehave not used it accounting for 3060 of the survey

Teachersrsquo understanding of modern educational tech-nology is shown in Figure 5 It can be seen from the figurethat 1026 of teachers know modern educational tech-nology very well 5983 of teachers generally know it and2991 of teachers do not know it is shows that teachershave a certain understanding of modern educational tech-nology and begin to pay attention to the application ofmodern educational technology in teaching 29 3814and 5257 of the students knew modern educationaltechnology well and 288 and 6444 of the managersknew modern educational technology well rough thecomparison of modern educational technology amongteachers students and administrators we find that teachersrsquounderstanding of modern educational technology is gen-erally higher than that of students and administrators andadministratorsrsquo understanding of modern educationaltechnology is the lowest which indicates that teachers havebegun to apply modern educational technology in teaching

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number of concurrent operations

DCE

AB

0

05

1

15

2

25

Vid

eo d

elay

tim

e

Figure 2 System availability index test results

Table 2 Performance test results

Number of concurrent operations Enable dynamic resource scheduling Turn off dynamic resource scheduling Difference (seconds)100 02 02 0500 08 10 021000 14 32 183000 16 46 305000 18 59 41

Tim

e

20

0

ndash20

ndash40

ndash60

Number of requests0 02 04 06 08 1

FCFSMQLMWQLMEQL

Figure 3 Comparison of request cancellation rates under differentrequest strengths


and gradually begin to understand and master moderneducational technology As the administrators of collegesand universities managers should strengthen the under-standing of modern educational technology so as to help the

application of modern educational technology in collegesand universities

Figure 6 shows the number of modern teachingequipment used in physical education in colleges and

Table 3 Survey results of studentsrsquo understanding of information needs

Index Important Percentage General Percentage Unimportant PercentageAccess to information 136 100 mdash mdash mdash mdashInformation technology 110 8088 24 1765 2 147Lifelong sports 123 9044 11 809 2 147Auxiliary teaching 123 9044 12 882 1 074

Num

ber o

f peo

ple

Number of people

20

15

10

5

02520 30151050

Fully equippedBasically satisfiedNot satisfied

Figure 4 Software facilities in universities

Table 4 Usage of school sports website

Used Never used Total

Nonprofessional sports colleges 43 132 1752457 7543 100

Professional sports academy 59 26 856940 3060 100

Know very wellGeneral understandingDo not understand

5 10 15 20 25 300Number of people

0

1

2

3

Deg

ree

Figure 5 Teachersrsquo understanding of modern educational technology


universities e survey shows that 100 of colleges anduniversities in our province already have the basic equip-ment of modern teaching equipment Teachers in theprovince think that teaching equipment is above averageaccounting for 8214 but due to factors such as economicdevelopment region and teaching development speed1786 of them think that teaching equipment is insufficientIt can be seen that the modern teaching equipment used forphysical education in colleges and universities in ourprovince has been able to meet the basic teaching but it isstill unable to meet the rapid development and high-demandprofessional fields For faster-developing schools it is nec-essary to introduce or update in time Teaching equipment isnot conducive to the promotion of informationization ofphysical education

e effect evaluation of studentsrsquo audience on sportsnetwork course is shown in Figure 7 e studentsrsquo eval-uation of the effect of sports network course is not high andthe average value of the video animation and picture ofsports network course is 277 It can be seen that although ithas certain help for studentsrsquo learning the effect of this helphas not been fully reflected and most students still cannotget great help from sports network course e averagevalue of the convenience degree of sports network courselearning is 365 which indicates that some students haveobtained more convenient learning content or learningmethods from sports network course but this effect is notprominent At the same time combined with the surveyresults of studentsrsquo teaching effect and liking degree ofsports network course it can be seen that students prefersports network course and feel that the teaching effect ofsports network course is relatively strong Among them72 of the students think that the teaching effect of sportsnetwork course is better than that of traditional sportscourse In addition 10 of the students think that theteaching effect of sports network course is very good At the

same time 74 of the students prefer sports networkcourses From the results of the interview and investigationwe can see that the students and teachers of the normaluniversities under the ministry have a high sense of identityfor the sports network course

43 Multimedia Application Effects e classification sta-tistics of college sports homepages are shown in Table 5ere are very few schools that use college sports networks todevelop educational functions only reaching 78 of thetotal number of campus networks Because of its richteaching materials and unrestricted learning time theasynchronous teaching characteristics of physical educationnetwork determine that it can take on the learning outsidethe physical education classroom and become an extensionof the physical education classroom to expand the learningcontent and learning time of students Physical educationcannot be guaranteed to be completed in multimediaclassrooms e number of multimedia classrooms alsolimits multimedia teaching e advantages that cannot bereflected in the teaching of physical education e im-provement of teaching quality and the richness of learningresources will affect the factors that teachers choose mul-timedia teaching

Table 6 shows the use of modern teaching methods suchas multimedia From the results of the table analysis 82people participated in the survey 79 people answered andthe response rate was 963 Teachers believe that moderneducational technology has a great impact on physical ed-ucation theory classes at 3077 5556 with an impact1368 without an impact 427 with a great impact onphysical practice classes and 2650 with an impact and theunaffected accounted for 6923 It can be found thatteachersrsquo understanding of current educational technology islimited to theoretical classes 8633 of them believe that

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number

Very sufficient

AdequateInsufficient General

Very insufficient

000

2000

4000

6000

8000

10000

Rate

()

Figure 6 e number of modern teaching equipment used in physical education in colleges and universities


modern educational technology has an impact on theoreticalclasses and most of them feel that it has no effect on theapplication of modern educational technology in practicalclasses

In the development and construction of college sportsnetwork education resources due to the diversification of itsdevelopment and construction ways the country has notformulated a unified standard for the classification andtechnical indicators of network education resources In this

way the development process of sports network educationresources does not follow a unified development standardand there is no unified description of the types and dataformats of sports network education resources other sys-tems cannot read resources in a particular database at all Atthe same time there is a lack of association between theapplication systems and there are differences in the way ofresource storage so the system is relatively isolated andunsystematic and the data cannot be automatically

0

10

20

30

Eval

uatio

n in

dex

10 20 30 40 500Sample

WellGoodGeneralPoor

Figure 7 e effect evaluation of the student audience on the sports network course

Table 5 Classification statistics of college sports homepages

Site type Quantity of sports websites of total campus networkFirst category 34 248 78Second category 82 599 189ird category 21 153 48

Table 6 e use of modern teaching methods such as multimedia

Frequency Rate Effective frequency Cumulative frequency

Effective

Often 14 171 177 177Occasionally 56 683 709 886

Never 9 110 114 1000Total 79 963 1000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number of samples

Very satisfiedSatisfied

Not so satisfiedNot satisfied

000

5000

10000

15000

20000

Perc

enta

ge (

)

Figure 8 Studentsrsquo satisfaction with teaching


transferred which leads to the disorder and repeated de-velopment and construction of sports network educationresources With the continuous increase of data theproblems of its standardization and consistency are high-lighted and the interfaces are not compatible with eachother which hinders the sharing rate of college sportsnetwork education resources to a great extent Studentsrsquosatisfaction with teaching is shown in Figure 8 93 of thestudents surveyed said that they had learned sports theoryknowledge through the Internet of which 84 often learnedsports theory knowledge through the Internet 168 mostlylearned sports theory knowledge through the Internet 484occasionally learned sports theory knowledge through theInternet and 261 seldom learned sports theory knowledgethrough the Internet

5 Conclusions

e construction of multimedia information resources is notonly the construction of multimedia software but also theconstruction of multimedia hardware resources esehardware devices include projectors video recordersmultimedia computers and cameras But these devicescannot be configured at will and should be reasonable planand allocate to various departments to avoid duplicateconstruction and waste of funds In the teaching andlearning under the information technology environmentthe teacher presents and teaches the teaching plan andteaching content to the students through the network andthen accepts the studentsrsquo response diagnoses and evalu-ates so as to understand the studentsrsquo learning situation Inthis physical education model the teaching media used is acomputer network which can enhance the teacherrsquos edu-cational role and improve the teaching effect It fully em-bodies the teaching thought of taking students as the mainbody and teachers playing a leading role

e online teaching platform is used to assist tennisteaching and the theory is combined with practice so thatstudentsrsquo interest and learning attitude can be truly trans-formed so that studentsrsquo spirit of cooperation and inno-vation can be effectively improved and the quality ofteaching and the efficiency of learning can be improvedTennis teaching can be effectively promoted so that thereform of tennis teaching theory and practice can be con-tinuously strengthened and provide a scientific basis for thereform e physical education class is mainly carried outthrough various physical exercises and most of the teachingtime and venue must be completed outdoors ereforealthough multimedia teaching is an important part ofphysical educationmethods it can only play an auxiliary roledue to various conditions in the process of use ereforethe research and innovation of this article is based on thesystem innovation of the college sports network multimediateaching platform breaking the restrictions of variousconditions

e development of physical education has been hin-dered by many factors such as the age of the teacher thegender of the teacher and the teacherrsquos personal abilityStandardized demonstration teaching can be carried out

through the use of multimedia network teaching platformso as to ensure the completeness and correctness of theinformation received by students At the same time in orderto adapt to the new requirements of the era of establishingcomprehensive universities many colleges and universitieshave adopted the mode of running schools in differentplaces All these have brought new problems to networkteaching and put forward higher requirements for networkteaching In the face of such a huge amount of data and suchrich types of teaching information in the face of so manyusers how to make full use of the scarce storage resourcesand increase the utilization rate of the network has becomethe focus of the current network teaching work Increasingthe utilization rate of the network can make teachingstandardized teaching and studentsrsquo learning informationwill be more abundant

Data Availability

e data used to support the findings of this study areavailable from the corresponding author upon reasonablerequest

Conflicts of Interest

e authors declare there are no conflicts of interest withrespect to the research authorship andor publication ofthis article

References

[1] M Armenteros S S Liaw M J Sanchez-FrancoM Fernandez and R Arteaga Sanchez ldquoAnalysis of FIFAreferees and assistant refereesrsquo motivational factors towardsthe Multimedia Teaching Materialsrdquo Education and Infor-mation Technologies vol 22 no 3 pp 1ndash32 2017

[2] H Zheng and Z Perez ldquoDesign of multimedia engineeringteaching system based on internet of things technologyrdquoInternational Journal of Continuing Engineering Educationand Life-Long Learning vol 29 no 4 pp 293ndash305 2019

[3] K J Abdurasulovich K M Yangiboevich A A Anvarovichand G A Xolmurodovich K O Abdurasulovich Oppor-tunities and results to increase the effectiveness of multimediateaching in higher educationrdquo Journal of Critical Reviewsvol 7 no 14 pp 89ndash93 2020

[4] P Liu H Cui Y Cao X Hou and L Zou ldquoA method ofmultimedia teaching evaluation based on fuzzy linguisticconcept latticerdquo Multimedia Tools and Applications vol 78no 21 pp 30975ndash31001 2019

[5] T-H Jiang S-L Chen and J K C Chen ldquoExamining the roleof behavioral intention on multimedia teaching materialsusing FSQCArdquo Journal of Business Research vol 69 no 6pp 2252ndash2258 2016

[6] X Wang ldquoDiscussion on application of multimedia teachingin college English vocabulary teachingrdquo Open Journal ofModern Linguistics vol 06 no 3 pp 177ndash181 2016

[7] K Otakhon ldquoUse of multimedia technologies in teachingforeign languagerdquo International Journal on Integrated Edu-cation vol 3 no 12 pp 136-137 2020

[8] W Zhang ldquoAn optimization method for analysing sandatechnical movement and teaching by using multimedia


assisted technologyrdquo Boletin TecnicoTechnical Bulletinvol 55 no 8 pp 188ndash194 2017

[9] Z Wang ldquoStudy on the multimedia application in collegeaerobics teaching a learning interactive perspectiverdquo RevistaDe La Facultad De Ingenieria vol 32 no 2 pp 759ndash767 2017

[10] Y Zhao ldquoMultimedia university teaching design based onaudio recognitionrdquo IPPTA Quarterly Journal of Indian Pulpand Paper Technical Association vol 30 no 7 pp 907ndash9132018

[11] A Cao ldquoResearch on the interactive classroom of Englishsituational teaching based on multimedia networkrdquo BoletinTecnicoTechnical Bulletin vol 55 no 4 pp 132ndash138 2017

[12] J Y Liu ldquoResearch on independent learning ability based onthe network multimedia vocational college English teachingmodelrdquo Agro Food Industry Hi Tech vol 28 no 1pp 3494ndash3496 2017

[13] X Zhao and Y Liu ldquoResearch on the design and optimizationof English situational teaching assisted by multimedia net-work platformrdquo Revista de la Facultad de Ingenieria vol 32no 9 pp 642ndash648 2017

[14] M Sun R Hao B Wang et al ldquoAnalysis on university ed-ucation reform and teaching based on computer multimediaand network teaching platformrdquo International Journal ofMultimedia and Ubiquitous Engineering vol 12 no 1pp 377ndash388 2017

[15] M Dai ldquoResearch on wind music teaching mode innovationand process optimization based on multimedia classroomrdquoBoletin TecnicoTechnical Bulletin vol 55 no 18 pp 414ndash4192017

[16] Y Mu and X Zha ldquoResearch on the multimedia computerassisted instruction in college wushu teaching and culturalinheritancerdquo Revista de la Facultad de Ingenieria vol 32no 2 pp 824ndash831 2017

[17] W Pingxiao ldquoResearch on the English teaching and auton-omous learning based on multimedia platform and smartclassroom systemrdquo International Journal of Multimedia andUbiquitous Engineering vol 12 no 1 pp 351ndash362 2017

[18] F T Q Tursunova ldquoe role of multimedia teaching tools inEnglish lessonsrdquo gteoretical and Applied Science vol 84no 4 pp 189ndash191 2020

[19] S F D Patri and S Heswari ldquoDevelopment of multimediateaching materials for problem based learning models usingprofessional 3D pageflip on class X geometry materialsrdquoEdumatica | Jurnal Pendidikan Matematika vol 9 no 2pp 23ndash33 2019

[20] Z Min ldquoResearch on the effect appraisement of multimediateaching in physical education classroom based on infor-mation platformrdquo International Journal for EngineeringModelling vol 31 no 1 pp 15ndash22 2018

[21] C Yu-Feng L Yu-Zhou F Xu and S Chich-Jen ldquoEffects ofthe application of computer multimedia teaching to auto-mobile vocational education on studentsrsquo learning satisfactionand learning outcomerdquo Eurasia Journal of MathematicsScience and Technology Education vol 14 no 7 pp 3293ndash3300 2018

[22] J Qi ldquoAn optimization approach for flipped classroom andmultimedia teaching innovation by contrast with traditionalteachingrdquo Boletin TecnicoTechnical Bulletin vol 55 no 8pp 480ndash488 2017

[23] C Wu ldquoInvestigation and statistical analysis on the devel-opment of college football based on sports value and mul-timedia teachingrdquo Boletin TecnicoTechnical Bulletin vol 55no 18 pp 260ndash266 2017

[24] Z Yinxiang ldquoMultimedia teaching of ideological and politicaleducation based on artificial intelligencerdquo Agro Food IndustryHi Tech vol 28 no 1 pp 683ndash687 2017

[25] S Wan L Qi X Xu C Tong and Z Gu ldquoDeep learningmodels for real-time human activity recognition withsmartphonesrdquo Mobile Networks and Applications vol 25pp 743ndash755 2019

[26] R S Bhadoria and N S Chaudhari ldquoPragmatic sensory datasemantics with service-oriented computingrdquo Journal of Or-ganizational and End User Computing vol 31 no 2pp 22ndash36 2019


With the continuous development of network multi-media technology and the continuous improvement ofteaching conditions in universities computers as a moderntool have become popular in the teaching field e purposeof Armenteros is to enhance peoplersquos understanding of thedifferent behavioral intentions of referees and assistantreferees in different FIFA leagues and use multimediateaching materials as learning tools In order to evaluate therelationship between the structures he developed an analysisbased on structural equation modeling (SEM) especiallypartial least squares (PLS) Although his research model hashigh accuracy there are certain loopholes [1] In order toimprove the multimedia control performance of teachingZheng proposed a multimedia engineering teaching systemdesign model based on Internet of things technology Basedon the embedded ARM core he constructed the overallstructure model of the real estate engineering multimediateaching system design He realized the integrated control ofthe system through the decentralized control method andcompleted the overall design framework of the real estateengineering teaching system Although his research hasextremely high human-computer interaction the experi-mental accuracy is not high [2] Abdurasulovich makes atheoretical analysis of the development of Education undermodern conditions the direction of management methodsand the application of information technology in highschools and universities He proposed research based onmodern forms methods and tools (including multimediatechnology) e basic method of overall development isbased on multimedia technology e analysis of the ex-perience of world education development shows three maintraditions of development the development of curriculumtheory the concept of permanent education and the idea ofability clef His research content is more detailed but there isa lack of specific algorithm [3] Liu thinks that with thedevelopment of multimedia technology multimedia-basedteaching has become a popular way of education He mainlystudies rule extraction algorithm based on incompletemultiexpert fuzzy linguistic formal decision context Hediscussed the corresponding confidence in the concept offuzzy linguistic decision-making and the support of lin-guistic decision-making rules Based on the formal contextof fuzzy language he constructed the concept lattice ofmultiexpert fuzzy language to deal with the evaluation in-formation of multiexpert language In order to solve theproblem that the weight of experts is unknown he proposeda method to maximize the deviation in the context ofmultiexpert fuzzy linguistic form through the distance oflinguistic evaluation matrix In addition he developed alanguage aggregation operator for multiexpert fuzzy lin-guistic concept lattice to obtain association rules But hisresearch method is more practical but there is a lack ofnecessary data [4]

is paper analyzes the network course constructionmechanism of Chinarsquos sports network course and the au-dience of the network course of Chinarsquos sports networkcourse so as to intuitively find the relevant feedback ofcollege students on the application of sports network courseso as to provide reasonable suggestions for the network

course construction of Chinarsquos sports network course so asto further improve the physical education teaching system ofcolleges and universities in China Using the existingcomputer technology university network communicationtechnology data storage and other technologies choosingmature reliable and practical system platform developmentplatform and management platform can ensure the smoothand free sharing of regional university sports network ed-ucation resources in the region and support the normaloperation of the system e innovation of this article is touse the existing computer technology and data storagetechnology to construct and improve the teaching platformsystem

2 Multimedia Teaching Platform System

21 College Sports Network e essence of the onlineteaching platform is a special-purpose teaching and col-laborative learning system based on Internet resourceswhich provides audiences with a large number of special-learning Internet resources and tools for collaborativelearning and communication through the Internet and letsthe audience independently choose topics and projects ofinterest to research e higher the professional level of theconstruction of the sports network teaching platform thehigher the requirements for the website builders andmaintainers e professional training of the system must beaccepted in order to better construct and play the value of thewebsite [5 6]

e construction and maintenance of any website re-quires a staff with professional skills so colleges and uni-versities must cultivate sports information managementtalents maintain themanagement update of sports websitesand make better use of the rich resources of the school toachieve resource sharing In the process of teachersrsquoimplementation of teaching teaching design plays a veryimportant role It is necessary to strengthen the planning ofteachersrsquo teaching and the planning of studentsrsquo learning sothat the teaching design is scientific and it can effectivelypromote the success of learning [7]

is teaching design is based on the studentrsquos dominantposition and is dedicated to improving the enthusiasm andinitiative of the students At the same time the teacher playsa supporting role Among them teachersrsquo teaching activitiesand studentsrsquo learning activities are parallel eory teachingand technical teaching are inseparable in college physicaleducation eory teaching is the foundation of collegephysical education and technical teaching is the practice ofcollege physical education erefore in college physicaleducation the unity of theory and practice is very importantPhysical education in colleges and universities also need topay attention to the timely communication and interactionbetween teaching and learning in the teaching process [8]

Physical education in colleges and universities also paysattention to the implementation of individualized teachingbased on personal preference and development Each or-dinary node in the group needs to maintain a state table eaddress information of the super nodes in the group is savede node only chooses to establish a connection with one of






ttotal 1 minus

tidle

ttotal (1)







Qcpu lvq

nvcpu (4)


P(t + k) P(t)Pk P(t)P(k)1 (5)


Wi a0 1113944

k

j1WTj + 1113944

m

l1alWiminusl (6)


W0 a0 1113944

k

j1WTj

W1 a0 1113944

k

j1WTj + a1W0

W2 a0 1113944

k

j1WTj + a1W1 + a2W0

(7)



minus λ(t)t (8)


L(ξ) 1113944n

i1log 2 minus

12log 2π minus

12log σ2 minus


2

2σ2+ log Φ ki( 1113857⎛⎝ ⎞⎠ (9)




p+ 1113944

k


p+

(10)








Kk 1113954PkHTk Hk

1113954PkHT

+ R1113872 1113873minus 1

(13)


x(k + 1) F(k)x(k) + Γ(k)v(k) (14)




















Confirminformation

Evaluationfeedback

Receiveexplanation


Adjust and send





Windows mediaserver







DCE

AB

0

05

1

15

2

25

Vid

eo d

elay

tim

e




Tim

e

20

0

ndash20

ndash40

ndash60


FCFSMQLMWQLMEQL








Num

ber o

f peo

ple

Number of people

20

15

10

5

02520 30151050









0

1

2

3

Deg

ree








1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number

Very sufficient


Very insufficient

000

2000

4000

6000

8000

10000

Rate

()






0

10

20

30

Eval

uatio

n in

dex

10 20 30 40 500Sample

WellGoodGeneralPoor






Effective


Never 9 110 114 1000Total 79 963 1000




000

5000

10000

15000

20000

Perc

enta

ge (

)




5 Conclusions





Data Availability




References


































ttotal 1 minus

tidle

ttotal (1)







Qcpu lvq

nvcpu (4)


P(t + k) P(t)Pk P(t)P(k)1 (5)


Wi a0 1113944

k

j1WTj + 1113944

m

l1alWiminusl (6)


W0 a0 1113944

k

j1WTj

W1 a0 1113944

k

j1WTj + a1W0

W2 a0 1113944

k

j1WTj + a1W1 + a2W0

(7)



minus λ(t)t (8)


L(ξ) 1113944n

i1log 2 minus

12log 2π minus

12log σ2 minus


2

2σ2+ log Φ ki( 1113857⎛⎝ ⎞⎠ (9)




p+ 1113944

k


p+

(10)








Kk 1113954PkHTk Hk

1113954PkHT

+ R1113872 1113873minus 1

(13)


x(k + 1) F(k)x(k) + Γ(k)v(k) (14)




















Confirminformation

Evaluationfeedback

Receiveexplanation


Adjust and send





Windows mediaserver







DCE

AB

0

05

1

15

2

25

Vid

eo d

elay

tim

e




Tim

e

20

0

ndash20

ndash40

ndash60


FCFSMQLMWQLMEQL








Num

ber o

f peo

ple

Number of people

20

15

10

5

02520 30151050









0

1

2

3

Deg

ree








1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number

Very sufficient


Very insufficient

000

2000

4000

6000

8000

10000

Rate

()






0

10

20

30

Eval

uatio

n in

dex

10 20 30 40 500Sample

WellGoodGeneralPoor






Effective


Never 9 110 114 1000Total 79 963 1000




000

5000

10000

15000

20000

Perc

enta

ge (

)




5 Conclusions





Data Availability




References

































Kk 1113954PkHTk Hk

1113954PkHT

+ R1113872 1113873minus 1

(13)


x(k + 1) F(k)x(k) + Γ(k)v(k) (14)




















Confirminformation

Evaluationfeedback

Receiveexplanation


Adjust and send





Windows mediaserver







DCE

AB

0

05

1

15

2

25

Vid

eo d

elay

tim

e




Tim

e

20

0

ndash20

ndash40

ndash60


FCFSMQLMWQLMEQL








Num

ber o

f peo

ple

Number of people

20

15

10

5

02520 30151050









0

1

2

3

Deg

ree








1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number

Very sufficient


Very insufficient

000

2000

4000

6000

8000

10000

Rate

()






0

10

20

30

Eval

uatio

n in

dex

10 20 30 40 500Sample

WellGoodGeneralPoor






Effective


Never 9 110 114 1000Total 79 963 1000




000

5000

10000

15000

20000

Perc

enta

ge (

)




5 Conclusions





Data Availability




References




































Confirminformation

Evaluationfeedback

Receiveexplanation


Adjust and send





Windows mediaserver







DCE

AB

0

05

1

15

2

25

Vid

eo d

elay

tim

e




Tim

e

20

0

ndash20

ndash40

ndash60


FCFSMQLMWQLMEQL








Num

ber o

f peo

ple

Number of people

20

15

10

5

02520 30151050









0

1

2

3

Deg

ree








1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number

Very sufficient


Very insufficient

000

2000

4000

6000

8000

10000

Rate

()






0

10

20

30

Eval

uatio

n in

dex

10 20 30 40 500Sample

WellGoodGeneralPoor






Effective


Never 9 110 114 1000Total 79 963 1000




000

5000

10000

15000

20000

Perc

enta

ge (

)




5 Conclusions





Data Availability




References



































DCE

AB

0

05

1

15

2

25

Vid

eo d

elay

tim

e




Tim

e

20

0

ndash20

ndash40

ndash60


FCFSMQLMWQLMEQL








Num

ber o

f peo

ple

Number of people

20

15

10

5

02520 30151050









0

1

2

3

Deg

ree








1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number

Very sufficient


Very insufficient

000

2000

4000

6000

8000

10000

Rate

()






0

10

20

30

Eval

uatio

n in

dex

10 20 30 40 500Sample

WellGoodGeneralPoor






Effective


Never 9 110 114 1000Total 79 963 1000




000

5000

10000

15000

20000

Perc

enta

ge (

)




5 Conclusions





Data Availability




References



































Num

ber o

f peo

ple

Number of people

20

15

10

5

02520 30151050









0

1

2

3

Deg

ree








1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number

Very sufficient


Very insufficient

000

2000

4000

6000

8000

10000

Rate

()






0

10

20

30

Eval

uatio

n in

dex

10 20 30 40 500Sample

WellGoodGeneralPoor






Effective


Never 9 110 114 1000Total 79 963 1000




000

5000

10000

15000

20000

Perc

enta

ge (

)




5 Conclusions





Data Availability




References



































1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30Number

Very sufficient


Very insufficient

000

2000

4000

6000

8000

10000

Rate

()






0

10

20

30

Eval

uatio

n in

dex

10 20 30 40 500Sample

WellGoodGeneralPoor






Effective


Never 9 110 114 1000Total 79 963 1000




000

5000

10000

15000

20000

Perc

enta

ge (

)




5 Conclusions





Data Availability




References

































0

10

20

30

Eval

uatio

n in

dex

10 20 30 40 500Sample

WellGoodGeneralPoor






Effective


Never 9 110 114 1000Total 79 963 1000




000

5000

10000

15000

20000

Perc

enta

ge (

)




5 Conclusions





Data Availability




References































5 Conclusions





Data Availability




References


















































Documents

Construction of Network Multimedia Teaching Platform