The Malaysian Online Journal of Educational Science
Volume 2, Issue 1
www.moj-es.net
Cognitive Strategy In Learning Chemistry:
How Chunking And Learning Get Together
NormaCheLah[1],RohaidaMohdSaat[2],RuhayaHassan[3]
Department of Mathematics and
Science Education
Faculty of Education, University
of Malaya
[2]
Department of Mathematics and
Science Education
Faculty of Education, University
of Malaya
Aminuddin Baki Institute
ABSTRACT
The study explores chunking strategies applied in Short Term Memory (STM) by
upper secondary students of mixed chemistry learning abilities. The aim of the
study is to observe variations in chunking strategies utilized by these students
when learning the Periodic Table of Elements in the Form Four Chemistry syllabus.
Findings show that students applied varied chunking strategies, of which, three
patterns prevailed at STM level: similar chunking, mixed chunking, and
characteristic chunking. Secondary school teachers in guiding their students
through the Chemistry learning process should remain mindful of presenting
didactic materials in a way that not only accommodates the students’ various
chunking strategies abilities needs, but at the same time hone the students’
learning skills.
Keywords:
chunking strategies, cognitive strategies, Short Term
Memory
INTRODUCTION
Chunking strategy is a cognitive strategy applied to enhance mental performance (Afflerbach et al., 2008). It
involvesthereorganizingofbulkinformationintovarioussmallerchunkswithoutaddingorsubstractingthequantity
ofnewinformationbeingacquired.Reorganizationofinformationoccursatthepatternfindinglevelwithinthesetof
itemstobe storedinST
M.The
itemsare thengroupedtogetherbasedon perceptualprinciplessuchassimilarity or
proximitytomakethemmoremeaningful(Gilchrist&Cowan,2012).Inourcase,theinformationwasgroupedbased
on similar characteristics which could easily, comfortably and confidently be identified at the retrieval level. Three
chunkingstrategieswereidentifiedinthisstudy:mixedchunking,similarchunkingandcharacteristicchunking.Mixed
chunkingentailsaninformationreduction proc
esswhichs
eeslargepieceofinformationreducedintosmallerandmore
manageable information chunks containing different numbers of elements. Similar chunking consists of separating
informationintosimilarelements,whereascharacteristicchunkingisinfluencedbyelementsofsimilarpronunciation
orothercharacteristicsprovidingstrongconnectiontoeachother.
ChunkingStrategyinLearningProcess
Chunkingisasignificant learningstrategy aimed at overcomingShort Term Memory (STM) limitations. Miller
(1956)characterizedchunkingasaprocessofcombining differentitemsintoa meaningfullarger unitthatfacilitates
itemstorageinSTM.Thechunkingstrategyreducescognitiveoverloadthereforeincreasingthelearner’smentalstorage
capacity.Forintance,inlearni
nghowtospell
HORSE,fivestorageunitintheSTMarerequired.However,ifalearner
associatesthemeaningof‘HORSE’totheanimalitself,heorshewouldonlyneedonestorageunit.Thestrategymoves
uptoahigherassistiverankifthelearnerc
o
njuresupaschema,orassociatesthewordwithbackgroundknowledgeof
theanimal.
According to West, Farmer, and Wolff (1991), chunking strategy is a mental process grouped into three
categories:linearchunking,taxonomicandmultipurpose.Linearchunkingisinformationarrangedintotime,spaceor
processascontrolledbyth
ehi
storychronology.Taxonomicchunkingistheprocessofarranginginformationasobserved
inBloom’sTaxonomyforcognitivedomain,whereasthemultipurposechunkinginvolvesthemechanismofarranging
basedoneitherthevolumeorthelackofinformationlearned. 
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The Malaysian Online Journal of Educational Science
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ChunkingstrategyaccordingtoBanikowskiandAlison(1999)issignificantlydifferentfromthatofMiller(1956).
InBanikowskiandAlison,a24numbersunitwaschunkedintosixsmallerunitofnumbers,withtheapparentconclusion
thatthesix smallchunk unitswere easierto recall.Nonetheless,theycameto thesame conclusionasMiller,thata
smallerstorage un
itat theSTM levelwas neede
dto executethis mental process.Banikowski andAlison (1999)also
foundthatlearnersoflesscognitiveabilitytendedtohaveverylimitedSTM.Inthiscase,theyhighlightedtheteachers
oftenmadethemistakeofre
gularlyprovidi
nglargeunitsofinformationinshortperiodsoftimedisablingthelearners’
abilitytoprocesstheinformationatSTMlevel.AmorerecentstudybyZhou(2005)illustrateshowchunkingstrategy
involvingthebreakingupoflargeinformationorconceptsintosmallersegments,enablelearnerstomanagethesmaller
segmented information an
d therefore impr
ove Chinese language learning. Zhou’s study is in line with the chunking
strategypresentedbyBanikowskiandAlison(1999).
The chunking strategy importance in the teaching and learning process led us to this specific study which
undertakesanindepthstudyofthechunkingstrategyatSTMlevelbyfor
mfourChemis
tryStudentsofmixedlearning
abilities.
METHODOLOGY
Thisisaqualitativedatacollectiontechniquestudyinvolvingsixmixedabilitylearnersviapurposivesampling.
Threedatacollectiontechniqueswereutilizedwiththemaindataobtainedfrominterviewandsupporteddatagained
fromobservationanddocumentanalysis.Inthisstudy,thedoc
u
mentanalysiswascarriedoutusingthelearner’sown
journal.
DataCollectionandAnalysis
Thirtysix verbatim trancriptions were collected from six participants, Maula and Joy representing high
achievers,AmirahandCarolaretheaverageachievers,andAdrieanaandNadiraharethelowachievers.Allthenames
usedarenotthestudent’srealnamestoprotecttheirprivacyandanonymity.Thedataanalysis wasbasedonth
euse
of c
hunking strategy variations employed by the six learners in completing their assignments; labelled as cognitive
strategytask(cost).
Cost1‐AssignmenttomemorizeandunderstandtwentyelementsinthePeriodicTablewithreferenceto
theirprotonnumber.
Cost2‐Assignmenttomemorizeandunderstandfortyelementsinth
ePe
riodicTablereferringto
periodictablelocation.
Cost3‐Assignmenttomemorizeandunderstandfortymonatomicions.
Cost4‐Assignmenttomemorizeandunderstandcationsandanionswithdifferentcharges.
Cost5‐Assignmenttomemorizeandunderstandfourteencommonpolyatomicions.
Cost6‐Assignmenttomemorizeandun
derstandMetalReactivitySeriesandEle
ctrochemicalseries.
Fromthecollecteddata,codesandcategorieswereidentifiedandathemebegantoemerge.Eachparticipant
underwentsixassignmentsonstagesandbasedonthirtysixsetsofinterviewtranscriptions,thecodingprocesswas
done until the resilient theme emerged. Excerpt 1 illustrates how Adriean
a used cognitive strategies, to assist her
installinginformationintheSTM.


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Excerpt1:
Adrieana: Ihavetoreadouteverythingfirst,thenrepeattheelementsmyself.
Reseacher: Howmanytimes?
Adrieana: UntilIdidit.
Reseacher: Anyideahowmanytimes?
Adrieana: Tenormore.
Reseacher: yourepeatthewholelistandrepeatitagain?
Adrieana: Istartedwithhydroge
nfirst,thenHelium,Lithi
um,soImemorizeinthe
chunksofthree,thenafterImemorizefourthpositionsBeryllium,Idid
BoronandCarbon.
Reseacher: BoronandCarbononly?
Adrieana: afterthatnitrogen,oxygentogetherbecauseofthe‘gen’behind.Proton
 number 9and10belon
g
stoChlorineandNeon...
Reseacher: Okay.
Rehearsal strategies were clearly observed during the interview, however, this strategy is not discussed in
detailed in thiswriting.Eight element names were chunked into smaller unit of information which consisted of five
clustered of one, two, one, two, two information units. The unit one, two, one
, two, two representing (Hydrogen),
(Helium, Lithium), (Beryllium), (Boron, Carbon) (Chlorine, Neon). Characteristics chunking revealed by classifying
nitrogenandoxygentogetherbecauseofsimilarityonsound.WhereasChlorineandNeonareassociatedwithitsproton
numberandBerylliumisassociated withthepositioninthe Periodi
cTa
bles. Thedatawere analyzedandthe overall
findingsarediscussedindetail.
FINDINGS
Thestudyhasidentifiedthreemaincategoriesofchunkingstrategiesamongstthesixlearners.Thesearemixed
chunkingstrategy,similarchunkingstrategyandcharacteristicchunkingstrategy.Themixedchunkingstrategyrequired
learnerstogroupalargeunitofinformationintoseveralsmallerchu
nksofdiff
erentnumberofunits.Forexample,if
thereare12unitsofinformationtoberemembered,learnerswillgroupthis12unitsintosmallgroupsof(5)(5)(2)or
anycombinationofdifferentbutequivalentunitstothatoftheoriginal12unitsofin
formation.Similarly,ifthere
were
16unitsofinformationtoremember,learnerswillgroupthese16unitsintosmallgroupsof(5)(5)(4)(2)oranyother
equivalentbutdifferentunitsthatequalstothat16unitofinformation.Thesimilarchunkingstrategydiffersslightly
fromthemixedchunkingstrategyinthatwhenlearnersgro
upsa
setof‘large’unitsoflearningintoseveralsmallerones,
the smaller groups have equal number of units. So, for example if there are 20 units of information to remember,
learners will group the 20 units into small groups of (5)(5)(5)(5) or (4)(4)(4)(4)(4). The third main c
hunking strategy
identifiedisthecharacteristi
cchunkingstrategywhichwasusedbylearnerswhogroupeda‘large’unitofinformation
intosmallergroupsbasedonsimilarcharacteristicssuchasname,formula,metalreactiontowaterandsuchlike.
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MixedChunkingStrategy
 

Figure 1. The chunking of l8 units of information to smaller units of (4)(4)(4)(4)(2).
Fromthe18unitsofinformationlearned,Joy,ahighachieverlearner,groupedtheinformationintofivesmall
chunksasillustratedinFigure1.Sheusedthemixedchunkingstrategyinwhicheachofthesmallchunkhadachunk
componentof4, 4,4,4and2elements. Inthis case,th
efirst smallchunkconsistedof lithium,beryllium, boronand
carbon, the second chunk consists of nitrogen, oxygen, chlorine and neon, the third chunk consisted of sodium,
magnesium,aluminumandsilicon,thefourthchunkconsistedofphosphorus,sulphur,chlorineandargonandthefifth
chunk unit consisted of two elements pot
a
ssium and calcium. Maula, another highachiever, grouped 12 units of
information into three sets of smaller chunks of (5)(2)(5)as illustrated in Figure 2.An interesting observation is the
mixed chunking strategy applied by Adrieana, in the lowachiever learner category, which still applies the c
hunking
strategy,
althoughthe‘large’unitofinformationtoberecalledconsistedofonlysixunits,whichweredividedintothree
setsof(3)(1)(2)ofmuchsmallerchunks,asillustratedinFigure3.
 
Figure 2. The chunking of 12 units of information to smaller units of (5)(2)(5).
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 
Figure 3. The chunking of 6 units of information to even more smaller units of (3)(1)(2).
Thefindingsclearlydemonstratethat thelearners’useofmixedchunkingstrategyinordertoenablethemselves
torememberthe‘large’unitofinformationrequiredtoberecalled.Thisappearstobethelearners’wayofincreasing
theircognitiveperformanceintheirattempttoincreasethetransferofmoreinformationattheSTMleveltoLTM.
SimilarChunkingStrategy
The similarchunking strategy isnot muchdifferentfrom themixed chunkingstrategy exceptfor thelearners
chunkingthelargerunitofinformationintosmallergroupsofequalnumberoflearningunits,forexample,chunking15
unitsofinformationtothreesmallofgroupsof(5)(5)(5).Inthisstudy,Maula,ahi
gherachieverlearner,grou
peda20
units information chunk into ten small groups consisting of (2)(2)(2)(2)(2)(2)(2)(2)(2)(2). Maula claims that when he
remembersthenameofthefirstelement,hecaneasilyrememberthenameofthesecondelementinthesamesmall
chunk. For example, in the small chunks of hydrogenhelium, when Maula remem
b
ers hydrogen, he automatically
remembershelium.Hedescribestheprocessthathegoesthroughduringthestudyasfollows:
Mungkin kebiasaannya saya ingat secara berpasangan macam, hidrogenhelium, lithium
beryllium;bilasayaingatyangpertama,dengansendirinyasayaingatyangkedua.
[Translated as: Maybe, as usual I te
nd to remember in pairs, like hydrogenhelium, lithium
beryllium;sowhenIrememberthefirst(element),Inaturallyrememberthesecond.]
ThesimilarchunkingstrategyisfurtherillustratedinFigure4.
  
Figure 4. The chunking of 20 units of information to smaller units of (2)(2)(2)(2)(2)(2)(2)(2)(2)(2).
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CharacteristicChunkingStrategy
The thrid chunking strategy identified in this study is the characteristic chunking strategy. The first
characteristicchunkingstrategyisbasedonthesamechargeions.Inthecaseofargentumandcopper,MaulaandJoy,
botharehighachievers,groupedthetwometalstogetherbecausebothhavethesamecationcharge+1.Thelear
ners’
journals also i
ndicate that while doing Cost 5 assignment, both, Maula and Joy grouped the ion with one charge
together,whileionshavingmorethanonechargearechunkedindifferentgroups.Bothlearnersindicatedthattheir
strategy(characterictischunking)helpsthemtostoretheinformationatLTMlevel.
Thesecondcharacteristicchunkin
gstrategyisidentifiedasbasedonsimilar(ornearsimilar)nameandformula.
Amongstionsthatfallintothiscategoryareoxideion(O
2
)andperoxideion(O
2
2
)
whichareplacedinthesamegroup.
Thestudyalsoidentifiesthethirdcharacteristicchunkingstrategywhichsharesthesamenameending.Inthiscontext,
hydrogen,helium, lithiumandberyllium areplacedin the samegroup becausethey (except forhydrogen)share the
same‘ium’ending,whereaschlorine,bromineandiodineareplace
dtogetherinano
thergroupbecauseoftheirine’
ending.Basedon thestudy,alllearners fromallmixed abilitygroupsindicatedthateachof thechunkinggroup that
theyhavecreatedhaditsownmeaningfulconnection.
Thefourthchunkingstrategyischaracterizedbymetalreactivitywithwater.Lithium,s
odiumandp
otassium
aregroupedtogetherbecauseallthreemetalsdissolveinwater.Thisspecificcharacteristicenableslearnerstoretrieve
the information from LTM when required. Another characteristic chunking strategy identified is based on the
characteristicsofmetal.Maula(oneofthehighachievers)placedplatinum,goldandmercurytoget
herbasedonth
e
factthatallthreearemetals.ThisinformationishelpfulforMauladuringtheretrievalprocess.Thestudyalsofound
thatsomelearnerscombinetwochunkingstrategies,forexample,thecharacteristicandsimilarchunkingstrategies,in
theirattemptatbetterinformationretrievalfromLTM.
Figure5ca
pturesall
thethreemainchunkingstrategiesencounteredinthisstudy;themixedchunkingstrategy,
thesimilarchunkingstrategyandthecharacteristicchunkingstrategy.

Figure 5. Three main chunking strategies at STM level.
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DISCUSSION
Thestudyfindsthatbasedonthethreemainchunkingstrategies,highachieverlearners(MaulaandJoy)tend
toutilizealltheidentifiedchunkingstrategies.Theyalsoindicatedotherpositivecharacteristicssuchaslesstimetaken
inapplyingthechunkingstrategiescomparedtotheiraverageandlowerachievercounterparts.Thesefindin
gsseemto
align with Mor
i (2010) which demonstrated that highachiever learners are able to use time wisely as well as more
activelyandconstantlymonitortheirownlearningperformance.Thechunkingstrategiesusedbytheaverageandlow
achieverstendtobeslightlydifferentfromthehighachieversinwhichtheystilluse
thechunkingstrategieseventhough
thequantityofinformationthatneedstoberememberedislittle.ThiscanbetracedbacktowhenAdriena,oneofthe
lowachievers, still needed to chunk six units of information into (3)(1)(2). This finding is in line with Miller’s (1
956)
assertionthatthech
unkingoflargeunitofinformationtoseveralsmalleroneshelpstoreducelearners’cognitiveload
inthelearningprocess.
IMPLICATIONSANDCONCLUSIONS
In this study, three types of chunking strategies were identified in the learning process of six Form Four
participants.Thefindingsaresignificantinundersta
ndinghowlearnersle
arn,andfurtherassiststeachersinselecting
themostappropriateteachingstrategythatenablesstudentsofvariouscognitivelevelstolearnandpracticeeffective
cognitivestrategies.
Fromapracticalpointofview,awarenessofthechunkingstrategiesutilizedbystudentswillalsoassistteachers
to guide th
eir students to op
timize their learning in the often limited face to face time frame. From a theoretical
perspective, this study is expected to enhance the understanding of other researchers in the fields of educational
scienceonhumancognitivesystemsingeneral,andspecificallytheunderstandingofhowlearnerslearnusingvari
ous
cognitivestrategieseffectivel
y.Thus,theconditionwhichevolvesinthehumanmindduringthelearningprocesscan
bebetterunderstood.
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