n o e c n e r e f n o C l a n o it a n r e t n I 8 1 0
2 Communicaiton ,NetworkandAritifcia lIntelilgence(CNA I2018) 8
7 9 : N B S
I -1-60595- 50 -5 6
t
n
e
g
A
t
n
e
g
il
l
e
t
n
I
L
e
a
r
n
i
n
g
S
y
s
t
e
m
u
i
Q - n
y T N
a
I
A
1,
T
i
n
g
A
I
1,
H
a
o
K
A
N
G
1a
n
d
L
o
n
g
F
E
I
21ArmyCollegeofArmoredForce,Changchun,China
2InsttiuteofUrbanEnvrionmenta lSciences,ChangchunNorma lUniverstiy,Changchun,China
: s d r o w y e
K Intelilgentagents, A nge tsofstudents, Learningsystem.
.t c a r t s b
A This article describes the definition of intelligen tagen ttechnology and the teaching s
e g a t n a v d
a ofintelligen tagen tapplicationsin thenetwork. A network learning system based on t
n e g a t n e g il l e t n
i wasb t. uil T hesystemwasdescribedandstudiedi nt hisarticle.
n o it c u d o r t n I
y g o l o n h c e t b e W d n a a i d e m i tl u m f o t n e m p o l e v e d d i p a r e h t h t i
W ,network learninghasbeenmore
m e t s y s g n i n r a e l k r o w t e n d o o g a t u b , d e z i n g o c e r d n a d e t p e c c a e l p o e p e r o m d n
a can be less ta
n e s e r
p t .In the traditiona lWeb-based distance education system ,the system according to the r
e v r e s e h t n o e r a w e s r u o c e h t s e v a s d n a h e r o f e b s e h s i l b a t s e h c i h w y g e t a r t s g n i h c a e
t ,w taii ng forthe
r e n r a e
l s to cilck on thebrowsing ordownloading. Thestuden tcan only listen to reason passively , n
a c t u
b ’ tac taccording to own featureselection study strategy ,dispatch ot contro lstudy progress. In thissinglemode ,the teache 'rsguiding position can no tbefully reflected ,between theteachers
e n r a e l e h t , s t n e d u t s d n
a r interactiveand thecooperation is poor .Theintelligen tagen ttechnology d
n u o r g k c a b h c u s r e d n
u si becomi ng to realize the intellectualized one kind of mainstream
y l l a u d a r g y g o l o n h c e
t inthet eachingdomain[1].
t n e g il l e t n
I Agen tTechnology
t n e g i l l e t n
I agentsaredistributed artificia lintelligence(DAI)ofthe product ,firs tdeveloped by the s
t t e s u h c a s s a M f o y t i s r e v i n
U . Intelligen tagen tresearch began in the 20th century ,the mid- s8 . 0
m o c e b y l l a u d a r g s a h h c r a e s e r e c n e g i ll e t n i l a i c i f i t r a s 0 9 9 1 e h t e c n i
S e a ho tspot. I trepresents the
. s n o i t c e r i d t n e m p o l e v e d y g o l o n h c e t n o i t a m r o f n i f o e g d e g n i t t u
c Currently the definition of
s t n e g a t n e g il l e t n
i si very inconsisten tfor thestudy and differen tconcerns. T ihe ntelligen tagen tis s
n o it i n i f e d o w t n e v i
g yb w -ellknown agen ttheoris tBritish professorofWooldridgeand Jennings .
r D
s t n e g A t n e g i l l e t n I : ) n o i t i n i f e d k a e w ( 1 n o i t i n i f e
D i smos tgenerall y describ ed ofahardwareand
: s e r u t a e f h c u s s a h h c i h w , m e t s y s e r a w t f o s
Autonomy .Agentscan operation w ith no otheragen tordirec tintervention ,a ndalso havesome l
o r t n o
c fort heirownbehaviorandi nterna lstates.
Socialability .Agentsandotheragents(andpossiblypeople)exchangeinformationthroughsome .
e g a u g n a l y x o r p f o t r o s
Reacitvity .Agentsc anunderstandt hesurroundingenvironmen tandmakethereal-timeresponse e
g n a h c t n e m n o r i v n e e h t o
t .
Activity .Agents are no tonly simply to respond to their environment ,and can show a targe t r
o i v a h e
b byacceptingsomeoft hei nformation. n
o i t i n i f e d g n o r t s ( 2 n o i t i n i f e
D ) T : he intelligen tagen tno tonly sh a defines 1 al lcharacteristics ,
t u
b alsohas somehuman’s characteristicssuchasknowledge ,beliefs ,obilgations,i ntentionsandso .
n o
, l l a f o t s r i f y a s o t s i t a h
T theintelligen tagen tworks rf o userand can wrap up otherresources, ti
u
g ides and replaces the user to carry on visi tto these resources ,becomes a key posiiton and y
r a i d e m r e t n
i t ounderstandstheseresourcesadvantageous ;Secondly ,intelligen tagen tcan domany h
g i
d n a s e c r u o s e
r compute resources on demand ;help users to overcome the speech disorder of the t
n e t x e n i a t r e c a o t t n e t n o c n o i t a m r o f n
i , ;capturetheuse'rspreferencesandinterests ,etc ;Thethird ,
l e t n i n
a ligen tagen tshouldalsobeaindependen tcomputingen itty ,c anplancomplex stepstosolve t
n e d n e p e d n i , s m e l b o r p l a c i t c a r
p l ydiscoveryandmee tuser’s requirementsfromt heuseofresources
s e c i v r e s d n
a with the use r n ot participating ; Fourth, in the network computing environment ,an e b n a c t i , k r o w t e n e h t n i t n e m h s i l b a t s e t n e n a m r e p s 'r e s u e h t f o e v i t a t n e s e r p e r s a n e e s e b n a c t n e g a
. s e c i v r e s d n a s e c r u o s e r s s e c c a o t k r o w t e n e h t n o e l b i x e l f
T heAppilca itonoft he IntelilgentAgent sint heNetworkTeaching Th eAdvantage soft he Intelilgen tAgentsi nt heTeachingo fNetwork
y g o l o n h c e t t n e g a e h
T isapplied t eo t h onilne educaiton .A tthisstage, the system can effectively n
o i t a t i m i l e h t e m o c r e v
o s of the use of agen t technology; distance educaiton compared with
traditiona ldistanceeducationsystemhast hefollowingadvantages:
Personailzed Teaching. A tpresent ,many distanceeducation systemisjus tsimply theteaching k
r o w t e n e h t o t n o t n e t n o
c , whichno tachievepersona lgenesis [2 .] oT su eof itsintelligence , t c i an s e i t l u c i f f i d g n i n r a e l , t n e t n o c g n i n r a e l , g n i n r a e l f o l e v e l h c a e r o f g n i h c a e t f o t c e j b o e h t e b
, d e r e t n u o c n
e learning motivationand aseriesoffeatures to takeadifferen tteachingmethods after y
x o r p n o i t a c i l p p a e h
t , providedifferentt eachingresources ,sot ha teachstuden'tst eachingresources .
s d e e n l a u d i v i d n i t e e m o t t n e r e f f i d e r a s s e c o r p g n i h c a e t d n a
o
T ParltyReplace theTeacher stoGuideStudentsi nCollabora itveLearning. Agentsappear m
e t s y s e h t n
i which nc a beusedasavirtua lteacher ,instructorvirtua lexperiments ,virtua llearning c
t e , s r e n t r a
p [3] .I tintelligentl y solutes the problems encountered in learning, helps students ;
k s a t g n i n r a e l e h t e t e l p m o
c usetheteaching ofintelligen tagentswith analytica lfunctions through
s i s y l a n a e h
t ofstudentl earning .Studentscanaskwhichfee lconfuseda tanytime; theagen tcanuse e
s a b e g d e l w o n k e h
t itself to give the correc tanswer to students .This can effectively improve
g n i h c a e t f o y t il a u q e h t e v o r p m i d n a s s e n e v i t c e f f e g n i h c a e t
FitlerInforma iton Resources. T a lo ppy intelligen tagen ttechnology ,each learnercorresponds n o i t a m r o f n i k r o w t e n s s e c c a y l t n e i c i f f e d n a y l k c i u q n a c t n e g a n o i t a m r o f n i , t n e g a n o i t a m r o f n i n a o t
s e c r u o s e
r through ase tofinformaitoncondtiions,sotha tlearnerscanbemoretimeandenergyinto .
s e t a d n a m d n a s e v i t c e j b o d e r i s e d e h t e v e i h c a o t s l a o g g n i n r a e l e v i t a r o b a l l o c
Intelilgen tSupervi ison and Intelilgent Evalua iton. To apply intelligen tagen ttechnology, ti maymonitorandrecordlearne'rsenitrelearningprocess rth oughou tthelearningprocess ,canadop t
a t a d f o d n i k h c a e s ' s s e c o r p g n i n r a e l g n i r e h t a g y a w ” n e v i r d t n e v e e h t
“ ,you can understand the
s u t a t s e v i t i n g o c s 'r e n r a e
l . I tcan form adescription of situationsof databy comparing the curren t
d n a s u t a t s e v i t i n g o
c expectationsoflearnerscognitivestatus,toca y rr theobjectiveappraisa ltothe r
e n r a e
l rf o maki ng up the defect which evaluated in the pas tgroup work ,to fully mobilize the g
g n i n r a e l e v i t a r o b a l l o
c roup members of the enthusiasm, ot complete the task of collaborative
s p u o r g g n i n r a e
l hardl . y
t n e g il l e t n
I Agent susedi nOnilneTeachingCases b
e
W CLTM (Web Based Cooperative Learning) is an onilne teaching suppor tplatform which t
r o p p u
s s collaborativelearningandisdeveloped bythelaboratory ofBejiingNorma lUniversity .In ,
g n i n r a e l e v i t a r o b a l l o c t n e d u t s t r o p p u s r e tt e b o t r e d r
o the schoo ldesigns and developments the
E t n e g il l e t n
i -Tutor (e-TA). E-Tutor system has a strong interaction; i tcarries on the massive n
i n r a e l n o i t a r e p o o c s 't n e d u t s o t s n o i t c u r t s n
i g processb y theelectronicassistan trole ,thusensuring
: s e l u d o m e e r h t f o s t s i s n o c y c n e g a e h T . g n i n r a e l e v i t a r o b a l l o c f o n o i t a t n e m e l p m i h t o o m s e h t
s e l u d o m e s e h t g n i s U . t n e g a k c a b d e e f l a r o i v a h e b d n a s t n e g a g n i l d n a h , s t n e g a e r u t p a c f o r o i v a h e b
n a
c complete such as guidance on collaborative learning group ,expandi ng the discussion to E
, y lt n e r r u C . s n o i t c n u f r e h t o d n a s t n e d u t s e t a l u m i t
e l p m i s e m o s d n a t s r e d n
u students’ behavior ,and there is stli la rea lcommunication gap .E-Tutor
g n i s s e c o r p a t a d d n a e r u t c u r t s l a n r e t n i s ' m e t s y
s i sshownlikeFigure1:
Behavior capture agen tis responsible for capturing user behavior (teacher or student) and g
n i z y l a n
a ,preprocessing ,to dea lwiththeac tintoanac twhich thebehavioragents nc a understand. r o t n e g a r e s u e h t o t k c a b d e e f n o it a m r o f n i f o e l o r e h t h g u o r h t , s t c a e s e h t f o n o it c a e r e h t n e h T
; m e t s y
s also throughtheinterna ltriggerofthesystem automatically send areques ttothefeedback d
u t s r o f e c i v r e s d e t a m o t u a , t n e g a g n i s s e c o r
p ents . Differen t students can study on differen t
; s r e t u p m o
c the collaboration between them is mainly through the exchange of multi-agen t r o s s e c o r p l a r t n e c s 'r e t u p m o c a e k il s i t I . g n i n r a e l e v i t a r o b a ll o c e h t g n i t e l p m o c s u h t , n o i t c a r e t n i
. ) U P C (
g i
F u 1 .re WebCLplatforme-Tutorsystem'si nterna lstructure.
n e g a k c a b d e e
F t is responsible for the user (teacher or student) ,or interac twith the system , o
i t c u r t s n i e h t r e v o d n e s o t t n e g a t n e m e g a n a m r o i v a h e b e h t o t g n i d r o c c
a ns ,or operat e the user
t a l u p i n a m r o , k c a b d e e f e c a f r e t n
i e knowledge ot da d orupdate knowledgebase .Thisagen tactsasa
. ) . c t e , k s i d d r a h , r o t i n o m ( e c i v e d t u p t u o r e t u p m o c
t n e g il l e t n
I Agen 't sNetwork SystemLearningMo del n
a c y g e t a r t s g n i h c a e t e l g n i s o
N solveal ltheproblemsoftheteaching process .Excellen teducation
c i f i c e p s ' s t n e d u t s d n a t n e t n o c g n i h c a e t , s e v it c e j b o g n i h c a e t e h t o t g n i d r o c c a e b t s u m m e t s y s
n o it a u t i
s , in the process of teaching and learning intelligen tchoice of teaching strategies and o
r c i m e h t t s u j d a y ll a c i m a n y
d -teaching strategies [4] .Based on this idea ,the system designs a
t n e g a t n e d u t
s for students to assis tstudents to better complete the learning task ;for teachers to a
n g i s e
d teacher agen tto simulate teachers’ teaching .And i tis responsible for teaching content , r
o f s e i g e t a r t s g n i h c a e t d n a s e c r u o s e r g n i h c a e
t routine maintenance and updates ,suppor tteachers
g n i h c a e t f o k s a t e h t e t e l p m o c y l t n e i c i f f e d n
a . Assis tteachers in efficiently complete the task of
g n i h c a e
t .Also i tdesignsmanagement-agent to specially managementofstudentagen tand teacher t
n e g
a ; automatesomeoftheteachingwork. Thesystemdeterminesthebasicteaching strategies ni g
n i h c a e t f o s s e c o r p e h t h t i w e c n a d r o c c
a which used differen tteaching strategies for differen t
s t n e d u t
s .
l a c i g o
L Structureoft heSystemMode lFramework. e
h t n
I intelilgen tAgent-basedl earningsystem,t hesystemusesaBrowser /Agen t /Servert hree-tier r
e s w o r b s i t a h t , e r u t c e t i h c r a m e t s y
s -based presentation layer ,the agen tlayer and data layer .The
f o r e b m u n a s e c u d o r t n i m e t s y s e h t n i r e y a l e l d d i
m agents ,whichisresponsibleforcoordination of
r e s w o r b t n e g il l e t n
i -sideandserver-sidework.Clients visitthesystemthrough thew ebbrowser. S o m
n o r i v n e s m e t s y s d e t u b i r t s i d x e l p m o c r o
f en tprovidesaunifiedoperaitngenvironment .Figure2:
g n i s s e c o r P
resutls
r o i v a h e b Users
, s t n e d u t s teachers
Users , s t n e d u t s teachers
r o i v a h e B capture
t n e g a
r o i v a h e B
t n e m e g a n a m agent
n o it a m r o f n I
t n e g a k c a b d e e f
r o i v a h e B capture
t n e g a
r o i v a h e B
t n e m e g a n a m agent
n o it a m r o f n I
t n e g a k c a b d e e f
t n a t s i s s a c i n o r t c e l e L C b e
W WebCLelectronicassistant e
g d e l w o n K
s a b e
e m t a e r t e r P n t
r o i v a h e b
g n i s s e c o r P
resutls
r o i v a h e b
e m t a e r t e r P n t
g i
F u 2.re Intelligen tAgent-basedl earningsysteml ogicstructuremodel.
r e s w o r b a s i r e y a l t s r i f e h
T -based presentation layer .Web browser as a client, provides a
c i h p a r
g a luserinterface ,is responsiblefor interacting with theuser .Systemaccording to differen t s
r e s
u comes into differen tpersonalized interface, in thislayer containsthe system'sdisplay logic. e
h
T layerachieves et h inpu tand outpu tofknowledge ,userbehavior ,information ,tasks, feedback s
n o i t c n u f r e h t o d n
a .
e b n a c r e y a l t n e g a e h T . n g i s e d e h t o t y e k e h t s i r e y a l s i h T . r e y a l t n e g a e h t s i r e y a l d n o c e s e h T
: s e i r o g e t a c r u o f o t n i d e d i v i
d the firs tis the registered agent; the second class is a user agent:
t n e g a y x o r p s r o t a r t s i n i m d a d n a s r e h c a e t , s t n e d u t s g n i d u l c n
i ; et h third category isthemanagemen t
t n e g
a ;the fourth category is thetask agent: including Q & A agents ,thetes tagent ,collaboraitve .
t n e g a d e z i l a n o s r e p d n a s t n e g a g n i n r a e
l Auserl ogont ot hesystemserver,t hesystemautomatically
s e t a r e n e
g aregistraiton agent ,and then createsa user agen t(students ,teachersormanagers) help m
e t s y s e h t h t i w t c a r e t n i r e s u e h
t ,guidet helearning .Andfindtherigh tstrategyto guidef orteacher
e d i u g o
t anyonet ot henewrepostioryduringthel earningprocessbasedont heactua lsituation from .
r e s u e h t o t y r o ti s o p e r e h t
r e y a l a t a d e h t s i r e y a l d r i h t e h
T , used to store various types of data resources .Including
i g e t a r t s g n i h c a e t , k n a b t s e t , e s a b e g d e l w o n
k esl ibrary ,studenti nformationdatabaseandQ ilbraries.
m e t s y
S Work lfow
e h t n i y l n i a m k r o w e W . r o t a r t s i n i m d a d n a g n i h c a e t , g n i n r a e l : e e r h t y l n i a m e r a s m e t s y s w o l f k r o W
. e l p m a x e n a s e c u d o r t n i s s e c o r p g n i n r a e l
V tisi .When learners log network learning this system ,the system automatically generates a f
l e s h t i w t n e g a r e n r a e L . t n e g a r e n r a e l s 'r e n r a e l e h t o t g n i d n o p s e r r o
c -tes texam related topicsinthe
y d u t s t n e r r u
c tes tthe leve lof the learner ,learning style, etc .The tes tresults is firstl y saved by s
t n e g
a ofthememory modules ,then upload themodulethrough thetransmission ofinformation to .
e s a b a t a d n o i t a m r o f n i l a n o s r e p ' s t n e d u t
s Teaching agen tunder the guidance of the rule modules ,
g n i t u p m o
c and reasoningmodulesdivision ofcollaborativegroupaccording totheinformaitonand e
h
t conten twhichthelearnersselected.
Courses. In thelearning process ,learners can make reasonablearrangementsaccording to their f
l e s , s e c n a t s m u c r i c n w
o -learningandcollaborativelearningalternately :Youcanreadi tforhimself , E
, Q Q h g u o r h t ; t n e t n o c g n i n r a e l e h t d n a t s r e d n
u -mai land othertoolsto a sk theteacherforhelp to
e v l o
s problem ;by agent you can discuss with teachers and other members in the agen tgroup a
e r a n o i t a r o b a l l o
c ;agen tcan also be learners in the system ilbrary and learning resourcesonline e h t f o s e l u r e h t o t g n i d r o c c a , n o i t i d d a n I ; n o i t a m r o f n i g n i l e s n u o c y r a s s e c e n e h t s s e c c a , h c r a e s
e v i g d n a , e g d u j , n o i t a u t i s e h t e z y l a n a o t s e l u d o m f o y t e i r a v a n o n o i t a m r o f n i s ' y c n e g
a appropriate
e c n a d i u g d n a e c i v d
a .
S fe -l t . est Aftercompleiton ofeach stageoflearning ,learnerscanaccessthrough aproxy to tes t f
l e
s -tes texam ,the identificaiton ofknowledge points to make up the loopholes ,according to tes t e
g n i n r a e l f o e g a t s t s a l e h t n i p u d e m m u s e b n a c s t l u s e
r xperiences ,lessons learned ,continuous
g n i n r a e l n w o r i e h t t n e m e v o r p m
i .
Demonstrate learning outcomes :Task is completed; you are a team to demonstrate learning .
s e m o c t u
o Theteam under theguidanceof persona lagency self-assessment ,peerassessmen tteam
t n e g A layer n
o it a t n e s e r P
r e y a L
U rs 2 e
U rs 3 e
U rs 1 e Agen t1
t n e g
A 2
t n e g
A 3
e y a l a t a D r
s a b e g d e l w o n
K e
y r a r b i L e c r u o s e R
, m e l b o r p e h t e v l o s o t s l a u d i v i d n i t n e r e f f i d f o s a e d i e h t e n i b m o c n o i t a u l a v e m e t s y s d n a s r e b m e m
. n r a e l d n a s s u c s i d o t e c n e i r e p x e d n a s a e d i s 'r e h t o h c a e t n e m e l p m o c s p u o r g t n e r e f f i d d n a , s d o h t e m
Intelligen tagen tevaluation. After the tes tresults are given by the teacher agen tassessment, if s
i h
t meets therequirements ,i twil lconfirm tha tthe objecitves for studen tlearning; fi no tmeets , teacheragen twil lautomaticallyanalyzewha thasbeenthelackofknowledgepointstomaster ,and
o f n i n o i t a g i v a n s e v i
g rmationt oguidestudentst ol earnpre-course.
t i x
E . Finally .Students complete thislearning or interrup tthislearning .Theagency wil lrecord n
o i t a u t i s g n i n r a e l t n e d u t s e h
t (Figure3).
g i
F u .re3 Intelligen tAgent-basedl earningsystem ,studen tagencyworkflowchart.
y r a m m u S
, t n e m p o l e v e d f o e g a t s y l r a e n a t a s i n o i t a c u d e e n il n o s ' a n i h C , t n e s e r p t
A the introduction of
s t n e g a t n e g il l e t n
i t o bulid an interactive ,adaptive ,intelligen tand personalized onilne educaiton r
p m r o f t a l
p ovideseffectivesupport ,whichfullydemonstratedtheadvantage oftheremotenetwork d
n a n o i t a c u d
e themodern informationcommunicationtechnology .Agen tintelilgen tapplicationsin f
o t n e m p o l e v e d e r u t u f e l b a t i v e n i e h t y l n o t o n s i n o i t a c u d e f o d l e i f e h
t onlineeducation ,and with
y g o l o n h c e t t n e g a f o t n e m p o l e v e d e h
t i twil lopenupnewprospectsforonilneteaching ,bu talsofor
m r o f e r n o i t a c u d e t n e r r u c s ' a n i h
C i t provides a good opportunity . Bu t we have a rationa l
t i r u t a m m i t n e r r u c e h t t a h t g n i d n a t s r e d n
u yofagen ttechnologyhasledtothecontradictionbetween
e w , e r o f e r e h T . d n a m e d d n a y g o l o n h c e
t mus thaveanobjecitveunderstandingofi ntelligence,t imely
t u o y r r a
c thenetworkteachingpracticebasedoni ntelligen tagentt echnology.
e c n e r e f e R e r u t a r e ti
L s
e h
T intelligen tagen ttechnology undersuch background si becomi ng to reailzetheintellectualized a
m f o d n i k e n
o instreamtechnologygradually intheteachingdomain[1]. A tpresent ,manydistance o
t n o t n e t n o c g n i h c a e t e h t y l p m i s t s u j s i m e t s y s n o i t a c u d
e thenetwork, whichno tachievepersona l
s i s e n e
g [2 .] Agentsappear in thesystem which can beused asavirtua lteacher ,instructor virtua l c
t e , s r e n t r a p g n i n r a e l l a u t r i v , s t n e m i r e p x
e [3]. Excellen teducation systemmus tbeaccordingtothe
c e j b o g n i h c a e
t tives ,teachingconten tandstudents 'specificstiuaiton, intheprocessofteachingand o
r c i m e h t t s u j d a y l l a c i m a n y d d n a s e i g e t a r t s g n i h c a e t f o e c i o h c t n e g i l l e t n i g n i n r a e
l -teaching
s e i g e t a r t
s [4].
t n e m g d e l w o n k c A
s t e g e l c i t r a e h
T Jliin educaitona lfund projectssuppor,t Projec tNumbers :J iJiao Ke HeZ i[2011] .
7 9 1 o N
L
go
tn
eg
a
gn
i
nr
ae
l
ot
ss
ec
c
a
ni
vi
s
ne
he
r
p
m
o
C
e
oit
c
el
es
n
f
o
p
ez
il
an
os
r
e
d
t
gn
i
nr
ae
l
o
s
et
eh
t
t
fl
e
S
-gn
i
nr
ae
l
ev
it
ar
o
ba
ll
oc
dn
a
g
ni
nr
ae
l
ts
eT
fl
e
S tar
ts
n
o
m
e
D
e
e
m
oc
t
uo
g
ni
nr
a
el
s
no
it
au
l
av
E
m
et
sy
S
r o p p u s m r o f t a l p k r o w t e n d n a s e c r u o s e r k r o w t e
N t
n it c
A g teachersand administrators toguide theentrie s
e c o r
s e c n e r e f e R
] 1
[ uQ LinJie, L ui iP - ue y . “Agent-basede-learningSystem,”E- EducationResearch ,vol .105 ,pp . 8
3 – 04 ,January 02 1 .2 ]
2
[ He Kekang. “Construcitvism - innovation in the tradtiiona l teaching of the theory, E- ” h
c r a e s e R n o it a c u d
E ,vol .132 ,pp .2 – 75 2 ,December2015 .
] 3
[ YangLijie, Jiang Zhichao, Liu Hong. Computer-supported cooperativeteachingenvironment,t r
e t u p m o
C applicaitons,vol .19 ,pp .3 – 86 3 ,M ay2013
[4] ZhangJianping, ChenTianyun e . “tc Networkofintelligen tagentsinthecollaborativelearning l
e d o
