Application and research of fuzzy clustering analysis algorithm under micro-lecture English teaching mode

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1 SHS Web of Cofereces 25, shscof/ Applicatio ad research of fuzzy clusterig aalysis algorithm uder micro-lecture Eglish teachig mode Yig Shi, Wei Dog, Chuyi Lou & Ya Dig Qihuagdao Istitute of Techology, Qihuagdao, Hebei, Chia ABSTRACT: The fuzzy clusterig algorithm is to classify the data or idicators with a greater degree of similarity based o the priciple of the same type of idividuals possessig a greater similarity, ad differet types of idividuals possessig differeces, establish clear category boudaries, form ay shape of relatioship clusters i the solvig process, ad iput the research idicators at radom, i order to accurately aalyze the sigificace of the idicators i the algorithm. The evaluatio value of the clusterig aalysis ca be obtaied by the establishmet of the fuzzy factor set based o the membership aalysis, ad the evaluatio result ca be aalyzed through referece to the evaluatio idicators of the fuzzy clusterig aalysis. The micro-lecture Eglish teachig mode ca be estimated ad the aalysis idicators ca be ratioally established based o the fuzzy clusterig aalysis algorithm, with better algorithm applicability. Keywords: micro-lecture fuzzy clusterig teachig mode flipped learig 1 INTRODUCTION Micro-lecture is a ew teachig mode. For the uderstadig of micro-lecture, it maily has the followig viewpoits. Some scholars believe that the micro-lecture mode is a basic course, which serves for bleded learig, flipped learig ad a variety of learig styles Hu Tiesheg ad other scholars believe that micro-lecture teachig ca be viewed as a kid of etwork video course, ad become a part of teachig desig Jiao Jiali ad other scholars believe that, as a kid of Eglish teachig resource, the olie educatio is subject to dapper olie video, ad aims at realizig the course sceario, digitizatio ad iterest. Based o the above aalysis, the micro-lecture Eglish teachig is based o the video as the mai teachig medium. Each micro lecture is a complete teachig based o a kowledge poit or a cocept. Micro-lecture video ca be from the etwork resources, ad ca also be produced or recorded by the Eglish teachers. It is maily subject to the platform of etwork, so that the studets ca implemet free leaig through mobile devices. Of course, the micro-lecture video ca be added i the ordiary classroom teachig, i order to improve the teachig quality. 2 FUZZY CLUSTERING ANALYSIS UNDER MICRO-LECTURE ENGLISH TEACHING MODE The mai form of micro-lecture applied i college Eglish teachig based o the establishmet of the factor set is U 1 the scope of cotet selectio of college Eglish micro-lecture is U 2 the developmet strategy of micro-lecture i college Eglish teachig is U 3 the characteristic of micro-lecture i college Eglish teachig is U the path aalysis of micro-lecture ad college Eglish teachig is U 5 : U U1, U2, U3, U, U5 The fuzzy clusterig aalysis idicators are established accordig to five mai factor sets, as show i Table 1. 3 FUZZY CLUSTERING ANALYSIS ALGORITHM UNDER MICRO-LECTURE ENGLISH TEACHING MODE (1 To determie the factor domai i the process of modelig: The Authors, published by EDP Scieces. This is a ope access article distributed uder the terms of the Creative Commos Attributio Licese.0 (

2 SHS Web of Cofereces 25, shscof/ Table 1. Fuzzy clusterig aalysis idicators Mai form of micro-lecture applied i college Eglish teachig U 1 Micro-lecture teachig i geeral Eglish classroom u 11 Scope of cotet selectio of college Eglish micro-lecture U 2 Phoological kowledge u 21 Studets idepedet learig eviromet outside the Sytax, sematic kowledge classroom u u Listeig ad speakig practices or Eglish corer ad other related practical activities u 13 Text structure kowledge u 23 Eglish micro-lecture skills u 2 No-laguage kowledge u 25 Developmet strategy of micro-lecture i college Eglish teachig U 3 Itegratio ad covergece of micro-lecture ad traditioal Eglish classroom teachig u 31 Professioal busiess level of Eglish teachers u 32 Media Network operatig skills u 33 Facilities, platforms ad resources applied i micro-lecture u 3 Characteristic of micro-lecture i college Eglish teachig U Ehacemet of studets iterest i Eglish learig u 1 Freedom ad flexible learig time of micro-lecture u 2 Dapper micro-lecture u 3 Targeted ad topic-focused micro-lecture u Path aalysis of micro-lecture ad college Eglish teachig U 5 Eglish micro-lecture resources u 51 Chage of educatioal cocept ad attempt of flipped classroom u 52 Itroductio of supportig policies ad ecouragemet of the teachers ad studets to make micro-lecture u 53 U u1 u2, u {,,, } (2 To determie the evaluatio domai: V v1 v2 v m {,,, } (3 To determie the fuzzy evaluatio matrix R ( rij : m r11 r12 r 1 r21 r22 R r 2 rm1 rm2 r m The evaluatio f(u i (i=1,2,, ca be made for each factor u i, so as to obtai a fuzzy mappig f from the factor domai U to the evaluatio domai V, amely: f : U F( U ui f ( u i ( r i, r i 1 2,, r im F ( V The, to fid out the fuzzy relatio R f F(UV from the fuzzy mappig f, amely: R ( u, v f( u ( v r ( i1, 2,, j 1,2,, m f i j i j ij ( To establish a weight set, A=(a 1,a 2,...,a F(U, boudary coditios: B AR r11 r12 r 1 r21 r22 a1, a2, a3,, a r 2 b, b, b,, b r r r m1 m2 m (5 To evaluate the fuzzy clusterig For the weight A=(a 1,a 2,...,a F(U, the model M (, ca be used for maximum - miimum compositioal operatio, thus obtaiig comprehesive evaluatio: B A R ( b ( a r, j 1,2,, m 1 i 1 The determiatio of the weight A=(a 1,a 2,...,a of the evaluatio set V is a importat part i the process of modelig. The mai reaso is that, i the evaluatio process, the determiatio is made through the establishmet of the fuzzy relatio from reality. The fuzzy comprehesive evaluatio model selected i the process of modelig is (U,V,R. For the weight A=(a 1,a 2,...,a F(U, the fuzzy evaluatio matrix is R ( rij. The model m M ( ca be used to obtai the comprehesive evaluatio process: B A R ( b, b,, b F ( V, 1 2 m i1 a 1 a 0 i i where: b ( a r ( j1,2,, m. i1 2

3 SHS Web of Cofereces 25, shscof/ b ( a r ( j1,2,, m i1 The evaluatio set ca be obtaied by the above fuzzy clusterig algorithm U u, u U u, u, u, u U u, u, u, u, u U u, u, u, u U u, u, u I the process of modelig, the followig five rakig matrixes ca be obtaied: the mai form of micro-lecture applied i college Eglish teachig U 1, the scope of cotet selectio of college Eglish micro-lecture U 2, the developmet strategy of micro-lecture i college Eglish teachig U 3, the characteristic of micro-lecture i college Eglish teachig U, the path aalysis of micro-lecture ad college Eglish teachig U 5. I this paper, the weight factor fuzzy set of a sigle-layer idicator is:,, = 0.25,0.55,0.2 U U U U ,,,, = 0.25,0.55,0.2 U U U U U U ,,, = 0.5,0.1,0.2,0.1 U U U U U ,,, = 0.2,0.31,0.22,0.23 U U U U U 1 2 3,, = 0.3, 0.3, 0.27 U U U U The weight vector obtaied from the evaluatio process:,,,, = 0.3,0.3,0.2,0.1,0.1 U U T i i U1 10, U2 9., U3 5.6, U, U After ormalizatio, U , U5 121 A Thus U , U , U 0.121, Based o A , five clusterig factor sets uder the micro-lecture Eglish teachig mode ca be aalyzed: the mai form of micro-lecture applied i college Eglish teachig, the scope of cotet selectio of college Eglish micro-lecture, the developmet strategy of micro-lecture i college Eglish teachig, the characteristic of micro-lecture i college Eglish teachig, proportio of path aalysis of micro-lecture ad college Eglish teachig, ad the correspodig weight value. The weight value ad impact of the mai form of micro-lecture applied i college Eglish teachig is the maximum. This paper establishes the evaluatio membership, as show i Table 2. Table 2. Fuzzy clusterig aalysis evaluatio idicators Score rage Evaluatio method Very good Geeral Bad For the establishmet of secodary idicators, the process is complex. The experiece-based judgmet is made for the micro-lecture Eglish teachig accordig to the research data ad literature ad cases, ad the importace degree of the secodary idicators is reflected based o the size of the score. I this model, the secodary idicators are determied by referece to the domestic ad foreig literatures, thus obtaiig the clusterig evaluatio value of the micro-lecture Eglish teachig. The above aalysis idicators ca be used to obtai Table 3. The evaluatio sets of five mai factors are obtaied from applicatio of micro-lecture i college Eglish teachig: Mai form of micro-lecture applied i college Eglish teachig: U1= Scope of cotet selectio of college Eglish micro-lecture: U2= Developmet strategy of micro-lecture i college 3

4 SHS Web of Cofereces 25, shscof/ Table 3. Fuzzy clusterig evaluatio value uder micro-lecture Eglish teachig mode Each idicator, Value Each idicator Value Micro-lecture teachig i geeral Eglish classroom u 11 Very good Media etwork operatig skills u 33 Studets idepedet learig eviromet outside the Facilities, platforms ad resources applied i Geeral classroom u 12 micro-lecture u 3 Listeig ad speakig practices or Eglish corer Ehacemet of studets iterest i Eglish Very good ad other related practical activities u 13 learig u 1 Phoological kowledge u 21 Very good Freedom ad flexible learig time of micro-lecture u 2 Geeral Sytax, sematic kowledge u 22 Geeral Dapper micro-lecture u 3 Text structure kowledge u 23 Very good Targeted ad topic-focused micro-lecture u Geeral Eglish micro-lecture skills u 2 Geeral Eglish micro-lecture resources u 51 Geeral No-laguage kowledge u 25 Chage of educatioal cocept ad attempt of flipped classroom u 52 Itroductio of supportig policies ad ecouragemet of the teachers ad studets to Itegratio ad covergece of micro-lecture ad traditioal Eglish classroom teachig u 31 Geeral make micro-lecture u 53 Professioal busiess level of Eglish teachers u 32 Geeral Eglish teachig: U3= Characteristic of micro-lecture i college Eglish teachig: U= Path aalysis of micro-lecture ad college Eglish teachig: U5= B Accordig to the formula A R i i i Z U B I the evaluatio value Z, 0.38 > 0.33 > 0.1 > By referece to the evaluatio idicators of the fuzzy clusterig aalysis, the maximum values i Z is correspodig to the evaluatio idicators of The result shows that the micro-lecture obtais a better evaluatio i Eglish teachig mode, ad its applicatio prospects ad improved teachig effect are also obvious. CONCLUSION With the cotiuous deepeig of the micro-lecture educatio, the educatioal patter ca icrease the studets iterest i Eglish learig, ad ehace studets idepedet learig ability. This paper carious out the fuzzy clusterig based o the similarity of idicators, ad form ay shape of relatioship clusters, ad iput the research idicators at radom, i order to accurately aalyze the applicability of the micro-lecture Eglish teachig mode. REFERENCES The fuzzy evaluatio matrix ca be obtaied by the ormalizatio processig of B i. B B B B B B The evaluatio value is obtaied based o the fuzzy clusterig aalysis algorithm: [1] Hu Tiesheg, Huag Migya, Li Mi Three stages of Chia s micro-lecture developmet ad its implicatios. Distace Educatio, (: [2] Hu Tiesheg, Zhou Xiaoqig Status aalysis ad research o the developmet strategy of the college micro-lecture costructio. Moder Educatioal Techology, (2: [3] Zhag Chupig Exploratio of reform of higher vocatioal college talet traiig based o MOOC. Commuicatio of Vocatioal Educatio, (17: [] Jiao Jiali Micro-lecture ad its applicatio ad impact. Iformatio Techology of Primary ad Secodary Schools, (: 13-1.

5 SHS Web of Cofereces 25, shscof/ [5] Shao Hua Research o higher vocatioal college classroom teachig mode reform guided by micro-lecture cocept. Adult Educatio, 3 (5: [6] Wag Li Discussio of higher vocatioal college Eglish micro-lecture teachig strategies. Readig, Writig, Arithmetic (Educatio ad Teachig Research, (17: 339. [7] Yag Shufag Fuzzy Multiple Attribute Decisio Makig Method ad its Applied Research. Jiagme: Wuyi Uiversity. 5