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GROUP FORMATION INCOLLABORATIVE LEARNI
The formation of eective groups to performin a collaborative manner to produce bresults.
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CONTENTS
o
TERMINOLOIE! roup
"ollaborative Learning
"ooperative Learning
oO#$E"TI%E
o
!&R%E'o"L&!TERIN
oRE(&IREMENT! )OR "L&!TERIN
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WHAT IS A GROUP ?
o
* group b+ de,nition is people -ho come together foron voluntar+ basis
oas a spirit of co/operation to -ork together
oas mutual0 social and economic bene,t
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WHY A GROUP IS NEEDED ?
o
* roup is needed To organi1e and guide an action
)or training members in necessar+ skills
To provide a channel for information sharing
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COLLABORATIVE LEARNING
o
"ollaborative learning is a situation in -hich t-o or molearn or attempt to learn something together.
o"ollaborative learning capitali1e on one another3s resouskills 4 *sking one another for information0 evaluaanother3s ideas0 monitoring -ork etc.5
o"ollaborative learning refers to methodologienvironments in -hich learners engage in a common taeach individual depends on and is accountable to each
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COOPERATIVE LEARNING
o
"ooperative learning de,ned as a teaching arrangementsmall0 heterogeneous groups of students -ork togachieve a common goal.
o!tudents assume responsibilit+ for their o-n.
o The #asic elements are9 positive interdependencopportunities0 and individual accountabilit+.
o;ositive Interdependence is an element of cooperative-here members of group perceive that -orking toindividuall+ and collectivel+ bene,cial0 and success dethe participation of all the members. 6<8
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COLLABORATIVE vs. COOPERATIV
o
"ollaboration• Mutual engagement of participants
• * coordinated eort to solve the problem
• "ontinuous shared conception of the problem.
o"ooperation• =ivision of labour
• Individual responsibilit+ for sections
• "oordination -hen assembling partial results
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OBJECTIVE
o
Our ob>ective is formation of groups?teams to im"ollaborative Learning among students
oOur aim is to make the team heterogeneouso The unfairness of forming a group -ith onl+ -eak students is o
groups -ith onl+ strong students are equally undesirable.
o In heterogeneous groups0 the -eaker students gain from seei
better students approach the problems and the stronger studdeeper understanding of the sub>ect b+ teaching it to the other
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WHAT THIS PROJECT DOES ?
•
The pro>ect implements the collaborative process of ensure that all students -ho ma+ not be at the saacademicall+ can cooperate -ith each other and lemutual sharing of kno-ledge.
• This pro>ect implements this ver+ techni:ue -ith theformation of groups and clustering the data and then
them.
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SURVEY
o
Computers in Human Behavior b+ =e-i+anti0 #rand!.$ochems @ #roers 4ABBC5 emphasi1es on collaborativein as+nchronous computer/supported collaborative environments. 6C8
o* stud+ -as carried out to gain response from studeneDperiences -ith collaborative learning in s+n
computer supported collaborative learning environments.
o The ,ndings revealed positive results and students3 sa-ith collaborative learning
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CATEGORY OF THE PROJECT
• The pro>ect belongs to the categor+ of *rti,cial Intelligand "omputational Intelligence.
o*rti,cial intelligence 4*I5 is the intelligence eDhimachines or soft-are. It is the stud+ and design of iagents0 in -hich an intelligent agent is a s+stem that pits environment and takes actions that maDimi1e its ch
success. 6F8o"omputational Intelligence is a set of nature
computational methodologies and approaches tocompleD real/-orld problems 6F8
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CLUSTERING
o"luster *nal+sis or simple clustering is the process of part
set of data ob>ects into subsets.
oEach subset is a cluster such that ob>ects in a cluster areone another0 +et dissimilar to ob>ects on other clusters.
o#asic "lustering Methods9
• ;artitioning Methods.
• ierarchical Methods.• =ensit+ #ased Methods.
• rid #ased Methods.
oere a speci,c kind of ;artitioning Method of clustering kGK-MeansH -hich is a centroid based techni:ue is used.
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REQUIREMENTS FOR CLUSTERIN
o!calabilit+
o*bilit+ to deal -ith dierent t+pes of attributes
o=iscover+ of clusters -ith arbitrar+ shape
oRe:uirements for domain kno-ledge to determine inputparameters
o*bilit+ to deal -ith nois+ datao Incremental clustering and insensitivit+ to input order
o"apabilit+ of clustering high/dimensional data6F8
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REFERENCES
. "lustering and !e:uential ;attern Mining of Online "ollaborative
b+ =ilhan ;erera0 $ud+ Ja+0 Irena Joprinska0 members of IEEE "om
*nd b+ Jalina 'acef0 and Osmar Kaiane.A. "ooperative Learning !tructures "an Increase !tudent *chievem
=otson "ulminating ;ro>ect
4Jagan Online Maga1ine0 inter ABB5
7. roup )ormation *lgorithms in "ollaborative Learning "onteDts9Mapping of the Literature #+ ilmaD Marreiro "ru1 and !ei>i Isotani
<. =ata Mining and *lgorithms b+ Ra>an "hattanvelli.
F. =ata Mining "oncepts and Techni:ues b+ $ia-ei an0 Micheline J
;ei.
. "omputers in uman #ehavior0 ;age A70 ;age </F< b+ =e
ru-el0 !.$ochems @ #roers 4ABBC5