Quantitative study and analysis for English integrated teaching based on Matlab

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1 Avalable ole Joual of Chemcal ad Phamaceutcal Reseach, 04, 6(5): Reseach Atcle ISSN : CODEN(USA) : JCPRC5 Quattatve study ad aalyss fo tegated teachg based o Matlab L Lu Depatmet of Foeg Laguage, Qqha Medcal Uvesty, Qqha, Helogjag, Cha ABSTRACT Descptve aalyss, coelato aalyss ad egesso aalyss fo adomly selected tems ae caed out by meas of Matlab softwae. I ode to get futhe aalyss of quattatve data of tegated couse teachg, tems of t, teachg pocess s cogzed ad mpoved. Fally, fo the ma esult ths pape, the costuctve suggestos fo teachg ae put fowads. The tegated teachg s closely assocated wth the mplemetato of the ew cuculum goal of "kowledge ad skll, pocess ad method, emoto atttude ad values", what s moe, studets ae taught tems of aousg studets' autoomous leag ethusasm, ad studets' leag pocess pespectve, ad they ae guded to ethk, evaluate the feedback leag pocess tmely. The tegated teachg beaks the tadtoal model, establshes mult-dectoal commucato mode, foms a thee-dmesoal etwok of fomato exchage, eflects the thought of studets beg the pcpal pat of leag, ad hghlghts the studets' self-leag whch pomotes studets leag fst, ad the leag well to help them kow how to lea ad how to exploe. Fo ths, teache-ceteed dea s tasfomed to studet-ceteed oe. I the pocess of teachg studets thkg pocess s fully demostated, whch ca moblze completely studets the ethusasm ad tatve fo the couse so as to ceate the codtos fo studets to lea, mpove the qualty of leag ad studet dscplay lteacy. Thus, ethe the pesoalty o the all-oud qualty ca ga developmet, so that studets lea easly, teaches teach well, both of whom ca beeft fom teachg. Itegato teachg educes the mplct waste teachg class, geatly mpovg the teachg effcecy ad class ealzato ate. Key wods: Matlab smulato, multple lea egessos, coelato aalyss, teachg INTRODUCTION Tadtoal teachg model emphaszes teachg athe tha pactce. Teachg should keep up wth the tmes. Wth the ceasg pace of ecoomc globalzato, gowg eeds ad equemets fo foeg laguage, teachg s equed to pay moe atteto to tag pactcal ablty, howeve, some teaches lack pactcal abltes such as these of ot ceatg the scee close to studet lfe, ot good at accuately expessg themselves o ogazg class teachg, ot good at wtg o the blackboad, o ot pofcet usg mode teachg meas ad so o [-5]. Ths leads studets to feel o teest leag ad get othg. Futhemoe, t seously devates fom the fal goal of uvesty educato, ad t s dffcult fo the studets to meet the equemets of socety ad the tmes [6-9]. Theefoe, theoy should be combed wth pactce [0-]. Howeve, the tegated cuculum system focus o lkg theoy wth pactce, o mpovg the elatoshp betwee studets ad teaches, o pomotg the studets Compehesve Capabltes, ad mpovg the employmet ate. STUDYING METHODS I ode to get a moe compehesve data, the 30 studets selected adomly fom dffeet udegaduate majos seve as study object the pape accodg to the actual stuato of each, amog whom thee ae 4 boys ad 6 gls. The couse gades ae collected, whch cludes " ", "Compehesve ", "Pactcal 937

2 L Lu J. Chem. Pham. Res., 04, 6(5): Caee ad "Advaced." Use Matlab mathematcal softwae 7.0 to aalyze data, study the collected mateals fom the Isttute, ad use quattatve eseach methods. Quattatve eseach methods ae geeally caed out to acque the oveall statstcal esults fo the specfc study object, whch maly cludes statstcal aalyss, ts descpto ad aalyss ad foecastg fo bult ecoometc model. DATA ANALYSIS Matlab mathematcal softwae s softwae fo stadad data aalyss ad gaphg ecogzed by the teatoal scetfc publshg dusty, whch has poweful fucto ad ca be easly opeated fom a Lab compay fo Matlab mathematcal softwae the U.S. Its advatages ae ecogzed as easly leag, poweful fucto ad flexble opeato. Its two ma fuctos fo the softwae ae aalyss ad dawg. Fstly, Table the data s ae typed to the softwae Matlab mathematcal softwae, ad the aalyze ad pocess the esults. The aalytcal methods ae used ths pape cludg: Descptve Aalyss: The collected data s ae ogazed, summazed ad descbed, ad commoly used meas clude amout ad age. Coelato aalyss: aalyss fo dstcto degee, degee elablty of test questos. Regesso Aalyss: multple lea egesso aalyss maly s appled. Studet Table : gades fom 30 studets Compehesve Pactcal Caee Advaced Studet Compehesve Pactcal Caee RESULTS Advaced descptve aalyses Fst, wok out the amout, aveage mak, age, stadad devato of the fou couses, ad the put the scoes of the fou couses to Matlab mathematcal softwae to ga statstcs fo colums, whch ae show Table. Table : descptve data aalyss couse amout aveage mak age stadad devato Lowest scoe hghest scoe Compehesve Pactcal Caee Pactcal Caee Fom Table, stadad devato of Compehesve s 4.54, whch s lowest fou couses, ad the aveage mak s 84, whch s the hghest. It ca be see fom the Table that the test questos Compehesve ae ease. Fally, omal dstbuto alyss s made usg Matlab mathematcal softwae, fo whch Table3 shows lke: 938

3 L Lu J. Chem. Pham. Res., 04, 6(5): Table3: omal dstbuto alyss Couse N W P value Decso Nomal at 0.05 level Compehesve Nomal at 0.05 level Pactcal Caee Nomal at 0.05 level Pactcal Caee Nomal at 0.05 level Fom Table 3, the gads fo these fou couses ae close to omal dstbuto. Coelato aalyss Statstcal coelato aalyss s to study coelato amog adom vaables, maly to deteme coelatve elatos by the coelato coeffcet. If the two vaables x ad y has ts espectve sample values x ad y, the coelato coeffcet betwee them s: xy x ( x x)( y [,] ( x x) x, y y) ( y y xy y) Absolute value of s close to, whch dcates the close elatoshp of the two vaables; howeve, the elatoshp s ot close whe the value s close to 0. Thee ae two ma aalyss steps metoed the pape, whch ae aalyss o dstcto degee ad elablty degee of test questos. Fst, Aalyss o dstcto degee of test questos Dstcto degee s oe of the key dexes to measue the qualty of test questos, maly fo the dscemet of the questos. Whe dstcto degee s hghe, the dffeet levels of the patcpats ca be dstgushed, thus, the value of used test questos s geate. But that does ot mea the hghe dstcto degee s, the geate dffculty s. If the tem dffculty s too hgh o too low, dffeet levels of dvduals wll be ot well dstgush. So whe the poblems ae at medum dffculty, the dstcto degee s hghest. Commoly used computato methods fo dstcto degee ae show the two followg ways: D PH PL XH XL D N( H L) Fo the same method, the dstcto degee of a ceta test questo Advaced s aal szed. The detaled aalyss s show Table 4. Table 4: the dstcto degee of a ceta test questo Studets Total scoe The scoe of the questo Studets Total scoe The scoe of the questo The dstcto degee of advaced s too hgh by usg Matlab mathematcal softwae, whch acheves

4 L Lu J. Chem. Pham. Res., 04, 6(5): Secodly, elablty degee of test questos. Usually the elablty of measuemet esults s called elablty degee,.e. cosstecy cedblty degee o elable degee of the measuemet esults. Theefoe, the test questos of hgh elablty ca be used as a measue of stadad of studet achevemet. Relablty maly cludes test-etest elablty, splt half elablty, alteate fom elablty, Kude Rchadso elablty, cloe Bach elablty ad te-scoe elablty. I ths pape, the elablty s measued by usg Iteal Cosstecy Relablty, amely the splt half elablty, ts calculato fomula s: x x xx ( ) xx Amog t, x x shows the espectve scoes ad coelatve coeffcets, s multple test questos elatve to the ogal legth chage, calculate the elablty whe s take. The test questos ae dvded to odd ad eve poblems, the calculate the two pat test scoe, calculate elablty coeffcet usg the coelato coeffcet of two goup scoes, the the coelatve coeffcet s the teal cosstecy coeffcet. Take elablty " " fo example, t s as show Table 5. Studet Table5: elablty degee aalyss Scoe fo odd questo Scoe fo eve questo Studet Scoe fo odd questo Scoe fo eve questo It ca be see that the elablty degee of s ot hgh by usg Matlab mathematcal softwae, whch s just Smlaly, the elablty degee of aothe thee couses ca be obtaed as follows: Table6:The elablty degee of the thee couses couse Compehesve Pactcal Caee Advaced elablty degee Fom Table 6, the elablty degee of Compehesve Pactcal Caee ad Advaced ae ot hgh, amog whch Compehesve s as the lowest oe, ad that of Advaced as the hghest oe s, , eve so, the esult s ot satsfyg ad optmstc. Regesso Aalyss Coelato aalyss ad egesso aalyss ae closely lked, whch ot oly have the same eseach object, ad ofte complemet each othe. Coelato aalyss s the bass ad pemse fo egesso aalyss, whle egesso aalyss make s elevat aalyss cotue ad deepe. I ths pape, multple lea egesso aalyss s used maly. The called multple lea egesso aalyss efes to the aalyss fo a lea elato betwee a depedet vaable ad multple depedet vaables. The geeal fom s: Y 0 x x mxm Amog t, 0 s tecept,,,, m ae egesso coeffcets, s Resdual. Accodg to sample data, the estmato value of the paamete of the model s obtaed, the expesso of the elatoshp betwee depedet vaable vaables ad depedet vaables ca be also obtaed, ad that s, the Y b b x b x b multvaate lea egesso equato s as follows: 0 m xm. 940

5 L Lu J. Chem. Pham. Res., 04, 6(5): Whe the "Advaced " s cosdeed as the depedet vaable, ad the " ", "Compehesve " ad "pactcal " ae cosdeed as depedet vaables, fd out the coelato betwee "Advaced " ad the othe thee couses. by Usg Matlab mathematcal softwae, multple lea egesso equato ca be obtaed as follows: Y x 0.379x x3. Fom the multple lea egesso equato, the elatoshp betwee "Advaced " ad the othe thee couses ca be also obtaed. Theefoe, as log as the scoes of thee couses s kow, the scoe of the fouth couse ca be estmated ad pedcted. CONCLUSION I ths pape, by Matlab math s softwae, descptve aalyss, coelato aalyss ad egesso aalyss ae made fom 30 studets adomly chose ad the fou couses, the followg esults ae obtaed: fstly, scoes of fou couses ae close to the omal dstbuto, what s moe, dexes of the amout ad the total dstace ae easoable teval; secodly, the dstcto degee of test questos some couses s too hgh, take "Advaced " fo example, the dstcto degee of some test questos exceeds 0.7;thdly, the elablty of fou couses s ot hgh, amog whch, the elablty of "Advaced " s the hghest, but oly ; fouthly, the low coelato les the couses. Fom the study ths pape, seveal suggestos fo fathe teachg ca be obtaed as follows:. The esults gve ths pape, afte a few pots teachg suggestos: fst, fo the cuculum settg, the elatoshp betwee the hgh, low gade cuculums should be take to accout. Secodly, cotol the dstcto degee whch should be moe tha 0.3. Howeve, much hghe dstcto degee does ot mea hghe degee of dffculty. Thdly, gasp the elablty of test questos. REFERENCES [] LUO Zhag-ta, GAO Ya. Joual of East Cha Isttute of Techology, 004, 3(4), [] LUO A-feg, YE Zhag-huag. Joual of East Cha Isttute of Techology, 005, 4(4), [3] L B. CHINA SCIENCE AND TECHNOLOGY INFORMATION, 00, (9):60-6. [4] ZHU Yog-he. Joual of Qqha Uvesty (Phlosophy & Socal Scece Edto), 003, (3), 8-. [5] LI Sog, LI Yag, QIU Le. Joual of Notheaste Uvesty(Socal Scece), 006, 8(5), [6] GAO Ya, FENG Zheg-hua. Joual of East Cha Isttute of Techology, 006, 5(), [7] L B. CHINA SCIENCE AND TECHNOLOGY INFORMATION, 00, (9), [8] Zhag B.; Zhag S.; Lu G.. Joual of Chemcal ad Phamaceutcal Reseach, 03, 5(9), [9] Zhag B.; Iteatoal Joual of Appled Mathematcs ad Statstcs, 03, 44(4), [0] Zhag B.; Yue H.. Iteatoal Joual of Appled Mathematcs ad Statstcs, 03, 40(0), [] Zhag B.; Feg Y.. Iteatoal Joual of Appled Mathematcs ad Statstcs, 03, 40(0), [] Bg Zhag. Joual of Chemcal ad Phamaceutcal Reseach, 04, 5(),