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The Impact of Bybee and Synectics Models on Creativity, Creative Problem-solving, and Students’ Performance in Geometry

Abstract

The present study aimed to investigate the effect of Bybee and Synectics on creativity, creative problem-solving, and performance of ninth-grade students in geometry. The research method was quasi-experimental with pre-test, post-test, and control group. From the entire population of the ninth-grade female students of public high schools in Tehran, three intact classrooms were selected by the cluster sampling method, each consisting of 30 students. Then, two classes were randomly assigned to two experimental groups and one control group. In addition, research instruments included Abedi’s creativity test, Basadur’s problem-solving creative test, and a researcher-made geometry test .In order to collect data, at first, pre-tests of performance, creativity and creative solution were performed on the subjects. After performing the patterns in the groups, post-tests of performance, creativity and creative solution were performed on the subjects. Finally, descriptive (the mean and standard deviation) and inferential ANCOVA statistics were used to analyze the data by SPSS software. The findings indicated that using the patterns of Bybee and Synectics on students’ creativity, creative problem-solving, and performance in geometry were significantly more influential compared to traditional teaching methods .The use of educational patterns appropriate to the educational content will lead to the training of creative people.

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The Impact of Bybee and Synectics Models on Creativity, Creative Problem-solving, and Students’ Performance in Geometry

Author: Kalantarnia, Zahra,Shahvarani-Semnani, Ahmad,Hassan Behzadi, Mohammad,Rostamy-Malkhalifeh, Mohsen,Reza Mardanbeigi, Mohammad
Publisher: Universidad de Granada
Year: 2020
DOI: 10.47750/jett.2020.11.01.007
Source: https://digibug.ugr.es/bitstream/10481/69207/1/TheImpactOfBybeeAndSynecticsModelsOnCreativityCrea-7705797.pdf
Jou nal o Educa o s, Teache s and T aine s JETT, Vol. 11 (1); ISSN: 1989-9572 68
ISSN 1989 - 9572
DOI: 10.47750/je .2020.11.01.007
Mohammad Reza Ma danbeigi5
Jou nal o Educa o s, Teache s and T aine s, Vol. 11 (1)
h ps://je .labos o .com/
Da e o ecep ion: 15 Ma ch 2020
Da e o e ision: 18 June 2020
Da e o accep ance: 14 Augus 2020
1,2,4,5Depa men o Ma hema ics, Science and Resea ch B anch, Islamic Azad Uni e si y, Teh an, I an.
3Depa men o S a is ics, Science and Resea ch B anch, Islamic Azad Uni e si y, Teh an, I an.
The Impac o Bybee and Synec ics Models on C ea i i y,
C ea i e P oblem-sol ing, and S uden s’ Pe o mance in
Geome y
Zah a Kalan a nia1
Ahmad Shah a ani semnani2
Mohammad Hassan Behzadi3
Mohsen Ros amy -MalKhali eh4
Zah a Kalan a nia, Ahmad Shah a ani semnani, Mohammad Hassan Behzadi, Mohsen
Ros amy -MalKhali eh, Mohammad Reza Ma danbeigi (2020). The Impac o Bybee and Synec ics
Models on C ea i i y, C ea i e P oblem-sol ing, and S uden s’ Pe o mance in Geome y. Jou nal o
Educa o s, Teache s and T aine s, Vol. 11(1). 68-78.
Jou nal o Educa o s, Teache s and T aine s, Vol. 11 (1)
ISSN 1989 – 9572
h ps://je .labos o .com/
Jou nal o Educa o s, Teache s and T aine s JETT, Vol. 11 (1); ISSN: 1989-9572 69
1,2,4,5Depa men o Ma hema ics, Science and Resea ch B anch, Islamic Azad Uni e si y, Teh an, I an.
3Depa men o S a is ics, Science and Resea ch B anch, Islamic Azad Uni e si y, Teh an, I an.
Email: Zah a_kalan a [email protected], Shah a ani. [email protected], behzadi@s biau.ac.i ,
os amy@s biau.ac.i , m ma danbeigi@s biau.ac.i
ABSTRACT
The p esen s udy aimed o in es iga e he e ec o Bybee and Synec ics on c ea i i y, c ea i e
p oblem-sol ing, and pe o mance o nin h-g ade s uden s in geome y. The esea ch me hod was
quasi-expe imen al wi h p e- es , pos - es , and con ol g oup. F om he en i e popula ion o he
nin h-g ade emale s uden s o public high schools in Teh an, h ee in ac class ooms we e selec ed by
he clus e sampling me hod, each consis ing o 30 s uden s. Then, wo classes we e andomly
assigned o wo expe imen al g oups and one con ol g oup. In addi ion, esea ch ins umen s
included Abedi’s c ea i i y es , Basadu ’s p oblem-sol ing c ea i e es , and a esea che -made
geome y es . In o de o collec da a, a i s , p e- es s o pe o mance, c ea i i y and c ea i e
solu ion we e pe o med on he subjec s. A e pe o ming he pa e ns in he g oups, pos - es s o
pe o mance, c ea i i y and c ea i e solu ion we e pe o med on he subjec s. Finally, desc ip i e ( he
mean and s anda d de ia ion) and in e en ial ANCOVA s a is ics we e used o analyze he da a by
SPSS so wa e. The indings indica ed ha using he pa e ns o Bybee and Synec ics on s uden s’
c ea i i y, c ea i e p oblem-sol ing, and pe o mance in geome y we e signi ican ly mo e in luen ial
compa ed o adi ional eaching me hods . The use o educa ional pa e ns app op ia e o he
educa ional con en will lead o he aining o c ea i e people.
Keywo ds: Bybee model, Synec ics model, C ea i i y, C ea i e p oblem-sol ing, Geome y
INTRODUCTION
Geome ic concep s a e he mos impo an issues when eaching ma hema ics. Di e en iews on heo ies such
as misconcep ions, concep ual e o s, men al diso de s, and he lack o in o ma ion a e possible a almos e e y
le el. When conside ing hese pe spec i es and he impo ance o eaching geome y, i is unde s andable how
o o e come he p oblems ha may a ise du ing he p ocess (Fy e e al., 2015). I is wo h no ing ha , in he
con en ional iew o ma hema ics eaching, he end objec i e o eaching concep s is o imp o e s uden s’
p oblem-sol ing abili ies. In his iew, p oblem-sol ing equa es wi h eaching he co ec answe (Ka imi,
Shah a ani, & Hagh e di, 2019).
To imp o e he s uden s’ awa eness o p oblem-sol ing s a egies, eache s a e equi ed o be in o med o
common p oblems ha impede quali ied ma hema ics educa ion. The eache s need o be skilled in using a wide
ange o s a egies, echniques, and ac i i ies in o de o help building he p e equisi e knowledge and s eng hen
he connec ion be ween s uden s and a pa icula concep . This may include discussing, elling s o ies, using
ole-playing and isual image y, encou aging sea ch pa e ns, and using eal-li e examples and analyses, along
wi h me apho s and explana ions (McLa en, 2010). Fu he mo e, addi ional concep s can be lea ned by he
de elopmen o concep s and hei ela ionships (Gallens ein, 2013). I seems ha some eaching models can
The Impac o Bybee and Synec ics Models on C ea i i y, C ea i e
P oblem-sol ing, and S uden s’ Pe o mance in Geome y
Zah a Kalan a nia1, Ahmad Shah a ani semnani2, Mohammad Hassan Behzadi3, Mohsen Ros amy
-MalKhali eh4, Mohammad Reza Ma danbeigi5
Jou nal o Educa o s, Teache s and T aine s JETT, Vol. 11 (1); ISSN: 1989-9572 70
play a ole when used in a speci ic con ex wi hin he class ooms. In he cu en s udy, Bybee and Synec ics
models we e used since i was assumed ha hese wo s a egies would imp o e c ea i i y, c ea i e p oblem-
sol ing, and pe o mance o nin h-g ade s uden s in geome y.
Piage ’s cogni i e de elopmen ini ially consis ed o explo a ion, in en ion, and disco e y s ages, and hen was
modi ied by Roge Bybee o cons uc i ism. This model o eaching enhances lea ning ou comes o s uden s
wi h di e en cogni i e le els (Walia, 2012). I was de eloped by Bybee (2009) and called he “5E aining
cycle model” because each s ep begins wi h he le e “E”. An unbiased eaching me hod has se e al bene i s. I
is lea ne -cen e ed, includes mo e meaning ul lea ning ac i i ies, and p e en s he me e e en ion o
in o ma ion. In addi ion, his me hod abso bs and adap s in o ma ion h ough p oblem-sol ing and in o ma ion
acquisi ion, and inally, encou ages lea ne s o p omo e hei ex acu icula ac i i ies in o de o ha e c i ical
hinking and e hics (Sucia i, Vincen isia, & Ismiya in, 2015). In he majo i y o he s udies, he 5E Model was
ex ensi ely used in in e na ional ma hema ics educa ion (Bybee, 2009).
The Synec ics model was he o he model ha was used in he cu en s udy. Low concep ual unde s anding is
conside ed as one o he majo p oblems in ma hema ics, in gene al, and in geome y, in pa icula , which is
p obably because he s uden s’ pe cep ions o his subjec a e un ela ed o e e yday li e. Acco dingly, using a
Synec ics model o each geome ic concep s is one possible solu ion o his p oblem. Va ious s udies explo ed
he use o a Synec ics model o cla i y and de elop concep s (Heid, 2008).
The model was pos ula ed by Go don e al. in 1961. The p ocess o synec ics p obably implies ha i can join
di e se and seemingly i ial elemen s o c ea e new ideas abou a concep . I is a c ea i e p ocess ha wo ks
elying on one’s men al capaci y o disco e and uni e subjec s in di e en and un ela ed ways (Go don, 1961).
Among all ac o s, Synec ics seems o play wi h un ela ed esponses. Fu he , his ole is used o p oduce ene gy
in o de o sol e p oblems and s imula e new pe spec i es and p oblems (Blisse & Mc G a h, 1996).
I is wo h men ioning ha he c ea i e p oblem-sol ing p ocess is de ined as he applica ion o c ea i i y o he
eal wo ld, indus y, o ganiza ion, o he social con ex o p oblem-sol ing, as well as p esen ing and
implemen ing solu ions o complex issues. The c ea i e p oblem-sol ing model in ol es a h ee-s ep p ocess o
p oblem inding, p oblem-sol ing, and solu ion execu ion (Basado , G aen, & G een, 1982). Choosing and
implemen ing an app op ia e app oach o he goals o each lesson equi e a a ie y o esea ch and a
comp ehensi e e iew o he bene i s and limi a ions o adi ional and ac i e eaching models in geome y.
Conside ing he impo ance o Bybee and Synec ics models in geome y, he cu en s udy sough o e alua e
he e ec s o hese models on c ea i i y, c ea i e p oblem-sol ing, and he pe o mance o nin h-g ade s uden s
in geome y.
THEORETICAL AND EMPIRICAL BACKGROUND
Resea che s ha e shown ha ma h ins uc ion is e ec i e when s uden s a e ac i ely in ol ed in he lea ning
p ocess, hus ma h eache s should use in e ac i e g oup ac i i ies o encou age s uden s ins ead o using an
explana o y eaching app oach. The 5E eaching model is one app oach h ough which s uden s ac i ely
pa icipa e in he lea ning p ocess (Runisah Hemen, & Dahlan, 2016). The s eps o he 5E lea ning cycle model
a e as ollows.
1. Engage: A his poin , s uden s a e s imula ed by dis up ing hei cogni i e balance o d awing hei a en ion
o eal-li e e en s.
2. Explo e: A his s age, he s uden ’s expe iences a e used o obse ing, collec ing da a, p edic ing es
ques ions, and co ec ing he hypo heses in o de o be able o answe he ques ions posed in he p e ious s ep.
3. Explain: A his phase, he s uden s p o ide hei own obse a ions and da a ha gi e a scien i ic explana ion
o hei ob ained esul s.
4. Elabo a e: A his s age, o he issues a ise o s uden s ega ding using hei new knowledge, p o iding
solu ions, making decisions, and eaching a ional esul s.
5. E alua e: E alua ion is needed o de e mine whe he s uden s ha e a co ec unde s anding o he concep s o
a e able o ex end hei lea ning o o he a eas (Acisli, Yalem, & Tu gu , 2011).
A bulk o esea ch has ocused on his a ea. Fo ins ance, Demi cioglu and Caga ay (2014) a emp ed o
examine he e ec o labo a o y s udies based on Bybee’s model on he s uden s’ comp ehension o chemis y.
Thei indings showed ha using his pa e n was signi ican ly mo e e ec i e on s uden s’ comp ehension
compa ed o adi ional eaching models.
Jou nal o Educa o s, Teache s and T aine s JETT, Vol. 11 (1); ISSN: 1989-9572 71
In hei s udy on he applica ion o he lea ning cycle model (5E) lea ning wi h cha a ia ions o s uden s’
c ea i i y, Saci a e al. (2015) demons a ed ha using he Bybee model would imp o e s uden s’ c ea i i y.
Simila ly, Teze and Cumhu (2017) ocused on he 5E eaching model and ma hema ical modeling wi hou
al e ing he main s uc u e o he model and ound ha using his model had a posi i e impac on academic
achie emen and p oblem-sol ing skills, as well as he inc eased mo i a ion o s uden s o ma hema ics. The
hy hmic pa e n is designed o enhance s uden s’ c ea i i y and c ea i i y in p oblem-sol ing. In his model,
h ee ypes o me apho s (i.e., di ec analogy, pe sonal analogy, and in ense con lic ) o m he basis o he
sequence o synec ics ac i i ies. S uden s de elop an unde s anding o geome ic concep s and build on hei
new knowledge based on pas li e expe iences.
In addi ion, Go don de ined synec ics o me apho ical hinking based on ou ideas. C ea i i y is impo an in
e e yday li e, no jus o a and imp o isa ion. In o he wo ds, i is pa o ou li es in ou wo k and leisu e.
Fu he , he c ea i e p ocess is no e y mys e ious and no limi ed o speci ic people who a e amilia wi h he
basics o c ea i i y. Based on ano he idea, c ea i e inno a ion is simila in all a eas o empi ical sciences,
ma hema ics, and humani ies. Finally, indi idual and g oup c ea i e hinking o inno a ion is e y simila o one
ano he . Mo e p ecisely, indi iduals and g oups c ea e hei ideas and p oduc s in simila ways (Joyce e al.,
2013). The s eps o his pa e n a e desc ibed as ollows.
1. P oblem Desc ip ion: A his poin , he eache encou ages he s uden s o desc ibe he new si ua ion.
2. Di ec Analogy: A di ec analogy is a simple compa ison o wo exis en s o concep s. In his compa ison, no
all aspec s a e necessa ily iden ical. A s aigh o wa d compa ison is simply made by pushing o wa d he
condi ions o a gi en subjec o a eal si ua ion ha ing a p oblem wi h ano he si ua ion in o de o p esen a new
heo y o a p oblem.
3. Pe sonal Analogy: In he pe sonal analogy, s uden s mus place hemsel es in o he elemen s o eel he
a ibu es o o he elemen s. Simula ion is he basis o pe sonal analogy. This eplica ion may occu wi h a
pe son, plan , animal, o inanima e being.
4. Compac Con lic : I desc ibes wo con adic o y wo ds o he same subjec , gi ing he deepes and wides
insigh .
5. Di ec Analogy: A his s age, s uden s selec and p esen ano he di ec analogy based on in ense con lic s. I
should be no ed ha he e is no wo d on he main issue a his poin .
6. Assignmen Re iew: A his poin , he eache encou ages he s uden s o e u n o he main ask o ques ion
and use he la es analogy wi h all he expe iences o heo izing (Shabani & Hassan, 2016).
In he esea ch en i led “Using In eg a ed Analogy in Physics Educa ion o Building Concep o Rep esen a ion:
The Way o be G ea In en o ”, A i iyan i and Wahyuningish (2015) ound ha he inno a i e model and he
analogies se e as use ul ools o eaching, lea ning, and unde s anding abs ac concep s.
Ahmad Khan and Mahmoud (2017) also examined he ole o synec ics in s uden s’ comp ehension o
geome ic concep s and concluded ha hei comp ehension and lea ning skills signi ican ly inc eased when
hey we e ins uc ed acco ding o his model. Based on he e iew o he ela ed li e a u e and o ou bes
knowledge, no simila s udy has been conduc ed in he con ex like I an in he big a ea o geome y using he
abo e-men ioned models.
METHOD
Based on i s pu pose, he p esen s udy used a quasi-expe imen al design and sough o p o ide p ac ical and
usable indings in he ield o eaching me hods. In his s udy, a p e es -pos es wi h he con ol g oup was used
in his ega d. The s udy popula ion included all nin h-g ade emale s uden s o he public high schools o
Teh an, I an. In addi ion, h ee in ac classes o nin h-g ade emale s uden s we e selec ed by a clus e sampling
echnique and each class consis ed o 30 s uden s. The wo classes we e andomly selec ed as Bybee and
Synec ics expe imen al g oups, as well as he con ol g oup. Fu he , a esea che -made es was de eloped
based on s uden s’ p io knowledge o geome ical concep s in o de o in es iga e he scien i ic le el o all
s uden s in all g oups. The expe imen al and con ol g oups we e also es ed on c ea i i y p e- es s and c ea i e
p oblem-sol ing. Subsequen ly, he con en o he lessons was augh by Bybee and Synec ics pa e ns and he
adi ional me hod o expe imen al and con ol g oups in six 90-minu e sessions, espec i ely. A e comple ing
Jou nal o Educa o s, Teache s and T aine s JETT, Vol. 11 (1); ISSN: 1989-9572 72
he sessions and ac i i ies, c ea i i y and p oblem-sol ing es s and esea che -made pe o mance es s we e
pe o med on all h ee g oups and he indings we e compa ed acco dingly.
Pa icipan s
Gi en ha geome y opics a e essen ially aised in he nin h g ade and a conside able po ion o his book is
de o ed o geome y, he nin h g ade was selec ed o his esea ch. F om he popula ion o he nin h g ade
emale s uden s o Teh an seconda y schools, he sample o his s udy was andomly selec ed om a emale
public school in Teh an. Th ee nin h g ade class ooms we e selec ed by he clus e sampling me hod, each
con aining 30 emale s uden s (16 yea s old). The s uden s in he expe imen al g oups comp ised o 6 g oups o
5 and one ep esen a i e we e selec ed o each g oup. The cu iculum based on Bybee and Synec ics models
p epa ed by he examine s was ailo ed and e iewed p io o he ea men .
Ins umen s
Abedi’s c ea i i y es was used o de e mine he ex en o he s uden s’ c ea i i y p omo ion. Abedi adop ed his
es based on To ance’s heo y o c ea i i y in 1984. This es had 60 i ems on a 3-poin Like - ype scale which
consis s o ou sub ypes o luidi y, expansion, ingenui y, and lexibili y. The o al c ea i i y sco e o each
subjec was be ween 60 and 180. The eliabili y o Abedi’s c ea i i y es was achie ed h ough he es - e es
me hod om he seconda y school s uden s o Teh an in ou es sec ions. The eliabili y coe icien o he luid
ac ion, ini ia i e, lexibili y, and ex ension was 0.85, 0.82, 0.84, and 0.80, espec i ely. The co ela ion
coe icien be ween he o al sco e o To ance’s es and his es was calcula ed o be 0.63 (Abedi, 1993). To
assess he eliabili y o he es , C onbach’s alpha in each sec ion was calcula ed as 0.83, 0.86, and 0.89 o
con ol, Bybee, and Synec ics, espec i ely.
Fu he mo e, he c ea i e p oblem-sol ing es o Basadu was used o de e mine he amoun o c ea i e
solu ion. The c ea i e solu ion o he p oblem began wi h Wallace’s wo k in 1926. Howe e , one o he mos
p es igious c ea i e p oblem-sol ing models belongs o Basadu . This es had 16 i ems on a 5-poin Like - ype
scale anging om ne e , e y ew, some imes, o en, o e y o en. Ques ions 1, 2, 3, 4, 5, 6, 7, 9, 10, 13, 14,
and 15 a e sco ed di ec ly, meaning ha he choice o “ne e ”, “ e y ew”, “some imes”, “o en”, and “ e y
o en” we e sco ed 1 o 5, espec i ely. Howe e , ques ions “8, 11, 12, and 16” we e sco ed e e sely. The
minimum and maximum sco es we e 16 and 80. The alidi y o his es was es ima ed using he concu en
alidi y o his es wi h To ance’s e bal c ea i i y es . The indings showed ha he subscales o lexibili y
(R = 0.603, P <0.1%), luidi y (R = 0.596, P <0.1%), and ini ia i e (R = 0.464, P <0.1) signi ican ly co ela ed
wi h Basadu ’s c ea i e p oblem-sol ing es , indica ing he accep able alidi y o he subjec . Mo eo e ,
C onbach’s alpha o he whole es was 0.884, ep esen ing ha his es was eliable. The e o e, his ensu es
ha all i ems a e app op ia e and he e is no need o elimina e some i ems (Za e e al., 2014). Finally,
C onbach’s alpha was calcula ed o con ol, Bybee, and Synec ics sec ions as 0.80, 0.81, and 0.77 in o de o
assess he eliabili y o he es .
The geome y esea che -made es was used o e alua e s uden s’ lea ning le els. Fo he p e- es , 10 ques ions
we e selec ed, which we e ela ed o he p e equisi es o he opics o he nin h-G ade P e- o med Geome y
Ques ions. These included i e, h ee, and 2 easy, in e media e, and di icul ques ions, espec i ely. The pos -
es consis ed o nine ques ions o he augh opics, including h ee, ou , and wo easy, in e media e, and
di icul ques ions, espec i ely. Ma hema ics p o esso s discussed and app o ed he ex en o which he es
ques ions ep esen ed he con en and pu pose o he esea ch. Each es sco e was ou o 20. The in e nal
consis ency es (spli -hal es ) was used o e alua e he eliabili y o he es s in his s udy and i s alue was
ob ained in he ollowing g oups. The alue o eliabili y o he p e es o con ol, Synec ics, and Bybee g oups
was 0.70, 0.78, and 0.70, espec i ely. The alue o eliabili y o he pos es o con ol, Synec ics, and Bybee
g oups was 0.70, 0.71, and 0.72, espec i ely.
Examples o opics
The ollowing a e some examples o geome y opics in acco dance wi h Bybee and Synec ics models.
Py amid and cone olume acco ding o he Bybee model (5E)
In he i s s ep, he esea che ied o mo i a e he s uden s by de ining exci ing e en s ha we e ela ed o he
p ope ies o he py amids. Then, s uden s we e asked ques ions abou hei p io knowledge. The shapes we e

Jou nal o Educa o s, Teache s and T aine s JETT, Vol. 11 (1); ISSN: 1989-9572 73
p o ided wi h he de ini ions o he py amid and cone. Nex , he s uden s we e asked o de ine he cylinde and
s a e he cylinde olume calcula ion o mula ha hey had lea ned p e iously. The esponses we e w i en on
he boa d o expose s uden s o he iewpoin s, and hen hey we e asked o indica e he a ea o a ious shapes.
The ques ion “wha is he ela ionship be ween cone olume and cylinde olume? ” was aised by he
esea che . In he second phase (Explo e), each g oup indi idually p oduced pape cylinde s and cones. Du ing
he ques ion and answe p ocess, a numbe o s uden s modi ied hei cylinde s, and his g oup began es ing
again. Meanwhile, he esea che ac ed as a acili a o and encou aged lea ne s o expe ience, es , and he
de ailed e iew o he p oblem.
In he hi d s ep (Explain), he esea che asked he ep esen a i e o each g oup o sha e hei expe iences and
indings and he indings we e e iewed acco dingly. In he ou h s ep (Elabo a e), a ques ion was asked (How
can he olume o he cone be calcula ed?) Then, he g oups we e eques ed o examine he ques ions
indi idually. Simila ly, he esea che allowed he s uden s o e alua e hei lea ning and eamwo k p og ess in
he i h s age (E alua e). Likewise, g oups we e asked o epo he indings a e examining he ques ions.
Finally, assignmen s a di e en le els o lea ning we e iden i ied o he s uden s.
Sphe e olume and sphe e a ea acco ding o he Synec ics model
In he i s s ep (p oblem desc ip ion), s uden s we e encou aged o p o ide in o ma ion on he subjec o he
lesson and o desc ibe he exis ing si ua ion o wha is p esen . The s uden s we e hen di ided in o six g oups o
i e and ep esen a i es we e selec ed o each g oup. In addi ion, equipmen was p o ided o he g oups,
including he colo ed pape , scisso s, glue, a 7-cm diame e ball, a 7-cm diame e cylinde , and colo ed wa e . In
he second s ep (di ec analogy), he s uden s we e asked o ind sphe ical pa e ns in he book o class oom and
o desc ibe he u ili y and bene i s o hese objec s. Some examples a e as ollows.
Ball: Easie o mo e, has no angle, and his speeds up he ball.
Sky Objec s: Spend he leas amoun o ene gy o achie e maximum s abili y. Acco dingly, hey a e all
sphe ical. In he hi d s age (in ensi e con lic ), each g oup was asked o conside wo aces o si ua ions o he
sphe e ha we e in con lic . In he ou h s ep (di ec analogy), he s uden s we e eques ed o p o ide mo e
examples and his ime hey could use con as ing wo ds o exp ess newe examples. The mos beau i ul ex ac
was as ollows.
Ea h: Due o he sphe ical na u e o he Ea h, he e a e always di e en hou s o he day a all imes
(Day/nigh ).
In he i h s ep (pe sonal analogy), s uden s we e asked o conside he ollowing ques ion.
Suppose you a e a sphe ical adius ha needs o be pain ed in wo s ages o become a billia d ball. In he i s
s age, you a e h own in o a cylind ical chambe wi h a adius cm and a heigh o 2 cm, illed wi h he desi ed
colo . “Wha ac ion o he colo does ge ou o he cylind ical shed?”
In s ep six ( e-assignmen e iew), he g oups we e asked o w i e down hei indings, and he ep esen a i es
o each g oup we e eques ed o announce he iews. Then, he iews o he g oups we e w i en on he boa d.
The second ask was o s ick he s icke s in ci cles o he adius o he manu ac u e . How many s icke s do you
need o co e you en i e su ace? Finally,, he esea che summa ized and comple ed he con en by showing
anima ions ela ed o each sec ion and hen assigned homewo k o each o he s uden s a di e en le els o
lea ning. In Figu es 1, 2, and 3, s uden s’ solu ions in he h ee g oups a e compa ed o one p oblem.S uden s’
solu ions in he Bybee expe imen al g oup (Figu e 1) show c ea i i y in esponses demons a ing deep lea ning
and s ong men al skills. Acco ding o he gained expe iences in he class, s uden s used a simple and sho
answe a he han a de ailed answe . The conical olume was 1/3 o he cylinde olume equal o he egula
heigh .
Jou nal o Educa o s, Teache s and T aine s JETT, Vol. 11 (1); ISSN: 1989-9572 74
Fig.1: S uden s’ solu ions in he Bybee g oup
The solu ion o he Synec ics g oup (Figu e 2) demons a es he c ea i i y in w i ing and expanding he isibili y
o lea ne s’ analy ics capabili y. By simpli ying he o mula o his p oblem, he cylinde heigh was calcula ed
by equa ing he olume o he cone and cylinde .
Fig.2: S uden s’ solu ions in he Synec ics g oup
The con ol g oup’s solu ion (Figu e 3) ep esen s a poo unde s anding o geome ic olumes, a
misunde s anding o he ela ionship be ween he a iables, and inaccu acy in easoning and concep ualiza ion.
Despi e he knowledge o olume calcula ion o mulas, he s a egy was no p ope ly used, and s uden s
conside ed he ele a ion o he liquid le el in he cone a he han he heigh o he wa e in he cylinde .
Fig.3: S uden s’ solu ions in he con ol g oup
RESULTS
In Tables 1 o 3, he mean and s anda d de ia ion we e used o es desc ip i e s a is ics. The indings showed
ha he mean sco es in he p e- es s we e he same and he g oups we e scien i ically simila while he mean
sco es in he pos - es sco es o Bybee and Synec ics g oups in pe o mance es s, c ea i i y, and c ea i e
solu ion we e mo e compa ed o he con ol g oup. Addi ionally, he highes amoun o de ia ion in c ea i i y,
pe o mance, and c ea i e sol ing es s was ela ed o he p e- es o he Bybee g oup.
In he con ol g oup, s uden s had un esol ed p oblems. Mo e p ecisely, hey had di icul ies in d awing,
calcula ions, and a gumen s due o he lack o an accu a e pic u e o geome ic su aces. In cong uen iangles,
hey some imes did no ecognize he sides o angles o did no conside he midline angle in he “ wo sides
Jou nal o Educa o s, Teache s and T aine s JETT, Vol. 11 (1); ISSN: 1989-9572 75
be ween” and “ wo angles be ween” posi ions. In addi ion,, hey we e less con used on ques ions ega ding
which iangles we e aised indi idually. Due o he lack o basic in o ma ion, he s uden s used he o mulas o
a ea and olume in e changeably o w o e he o mulas mo e o less. Some imes, hey did no unde s and he
hypo hesis and induc ion co ec ly. In o he wo ds, he s uden s did no ha e he igh s a egy using he
cohesi e s a es. Using he cong uen o m, s uden s did no ha e he igh s a egy. A i s , hey w o e all o he
da a and hen decided on which cong uen o m o use acco dingly.
Table 1: Desc ip i e S a is ics o he C ea i i y Tes
Cha ac e is ics
N
Mean (SD)
P e es con ol
30
76.90 (11.77)
Pos es con ol
30
77.43 (11.74)
P e es Bybee
30
77.33 (14.92)
Pos es Bybee
30
88.33 (12.16)
P e es synec ics
30
80.10 (12.39)
Pos es synec ics
30
89.20 (11.93)
No e. N: Numbe ; SD: S anda d de ia ion.
Table 2: Desc ip i e S a is ics o C ea i e Sol ing Tes
Cha ac e is ics
N
Mean (SD)
P e es con ol
30
53.43 (7.48)
Pos es con ol
30
54.13 (8.43)
P e es Bybee
30
54.43 (8.89)
Pos es Bybee
30
62.16 (7.74)
P e es synec ics
30
56.20 (6.35)
Pos es synec ics
30
61.40 (6.78)
No e. N: Numbe ; SD: S anda d de ia ion.
Table 3: Desc ip i e S a is ics o Pe o mance Tes
Cha ac e is ics
N
Mean (SD)
P e es con ol
30
13.44 (3.50)
Pos es con ol
30
13.86 (2.69)
P e es Bybee
30
13.45 (4.63)
Pos es Bybee
30
16.61 (2.86)
P e es synec ics
30
13.19 (4.19)
Pos es synec ics
30
15.92 (2.47)
No e. N: Numbe ; SD: S anda d de ia ion
Kolmogo o -Smi no es was used o e alua e he no mali y o he da a and he indings showed ha he sco es
in all g oups we e no mal (P>0.05) con i ming he use o pa ame ic es s.
Table 4: ANCOVA Resul s o he E ec o Bybee Model on C ea i i y, C ea i e Sol ing, and
Pe o mance
Tes s o Be ween-Subjec s E ec s
Dependen a iable: VAR00004
Sou ce
Type III Sum o Squa es
d
Mean Squa e
F
Sig.
Co ec ed model
84499.420a
56
1508.918
62.573
0.000
In e cep
5438.781
1
5438.781
225.540
0.000
G oup
379.429
1
379.429
15.735
0.000
VAR00003
7350.216
55
133.640
5.542
0.000
E o
795.777
33
24.114
To al
364575.000
90
Co ec ed o al
85295.197
89
a. R Squa ed = 0.991 (Adjus ed R Squa ed = 0.975)
No e. ANCOVA: Analysis o co a iance.
Jou nal o Educa o s, Teache s and T aine s JETT, Vol. 11 (1); ISSN: 1989-9572 76
Acco ding o da a in Table 4, he e is a signi ican di e ence be ween he p e es and pos es sco es o
c ea i i y, c ea i e sol ing, and pe o mance (P = 0.000). These indings suppo he posi i e e ec o using
Bybee in pa icipan s’ c ea i i y, c ea i e sol ing, and pe o mance.
Table 5: ANCOVA Resul s o he E ec o he Synec ics Model on C ea i i y, C ea i e Sol ing,
and Pe o mance
Tes s o Be ween-Subjec s E ec s
Dependen a iable: VAR00002
Sou ce
Type III Sum o Squa es
d
Mean Squa e
F
Sig.
Co ec ed model
87386.114a
65
1344.402
86.680
0.000
In e cep
2139.170
1
2139.170
137.922
0.000
G oup
78.000
1
78.000
5.029
0.034
VAR00001
6701.113
64
104.705
6.751
0.000
E o
372.240
24
15.510
To al
365286.188
90
Co ec ed o al
87758.353
89
a. R Squa ed = 0.996 (Adjus ed R Squa ed = 0.984)
No e. ANCOVA: Analysis o co a iance.
Based on he ob ained da a in Table 5, he e is a signi ican di e ence be ween he p e es and pos es sco es o
c ea i i y, c ea i e sol ing, and pe o mance (P = 0.034). Conside ing ha he mean sco e o he pos es was
signi ican ly highe , synec ics had a posi i e e ec on s uden s’ c ea i i y, c ea i e sol ing, and pe o mance.
Table 6: ANCOVA Resul s o he E ec o he T adi ional Model on C ea i i y, C ea i e Sol ing, and
Pe o mance
Tes s o Be ween-Subjec s E ec s
Dependen a iable: VAR00006
Sou ce
Type III Sum o Squa es
d
Mean Squa e
F
Sig.
Co ec ed model
68139.494a
58
1174.819
191.342
0.000
In e cep
1298.458
1
1298.458
211.479
0.000
G oup
0.245
1
0.245
0.040
0.843
VAR00005
7528.678
57
132.082
21.512
0.000
E o
190.336
31
6.140
To al
279838.375
90
Co ec ed o al
68329.831
89
a. R Squa ed = 0.997 (Adjus ed R Squa ed = 0.992)
No e. ANCOVA: Analysis o co a iance.
As indica ed in Table 6, he le el o signi icance is 0.83, implying ha he di e ence be ween he p e es and
pos es sco es o c ea i i y, c ea i e sol ing, and pe o mance was no signi ican . The e o e, he sco es in he
pos es demons a ed no signi ican change in he con ol g oup. In o he wo ds, Bybee and Synec ics me hods
pe o med be e compa ed o he adi ional one, and he use o hese wo me hods had posi i e impac s on
s uden s’ pe o mance and c ea i e p oblem-sol ing in geome y.
DISCUSSION AND CONCLUSION
In gene al, using adi ional me hods in geome y eaching p e en s s uden s om he p ac ical obse a ion o
he con en hus hey p e e o eso o inapp op ia e me hods such as memo izing he de ini ions o he
geome y, which impedes hei le el o geome ic hinking. The applied eaching me hods a e di ec ly ela ed o
he g ow h o s uden s’ c ea i i y and c ea i i y can be enhanced h ough ins uc ion among he s uden s. Using
hese me hods while eaching, s uden s explo e he subjec ma e wi hou limi a ions and a e in ol ed in he
solu ion p ocess, which inc eases he possibili y o c ea i i y in s uden s.
The p esen s udy a emp ed o in es iga e he e ec s o Bybee and Synec ics me hods on he c ea i i y, c ea i e
p oblem-sol ing, and pe o mance o nin h-g ade s uden s in geome y. To his end, he p e es sco es o
c ea i i y, c ea i e p oblem-sol ing, and pe o mance o all h ee g oups we e iden i ied and he indings
e ealed ha expe imen al g oups and he con ol g oup we e a he same le el. A e aining based on Bybee