Manajemen | Fakultas Ekonomi Universitas Maritim Raja Ali Haji joeb.84.5.263-268
Journal of Education for Business
ISSN: 0883-2323 (Print) 1940-3356 (Online) Journal homepage: http://www.tandfonline.com/loi/vjeb20
Using an Online Homework System to Submit
Accounting Homework: Role of Cognitive Need,
Computer Efficacy, and Perception
Jacob C. Peng
To cite this article: Jacob C. Peng (2009) Using an Online Homework System to Submit
Accounting Homework: Role of Cognitive Need, Computer Efficacy, and Perception, Journal of
Education for Business, 84:5, 263-268, DOI: 10.3200/JOEB.84.5.263-268
To link to this article: http://dx.doi.org/10.3200/JOEB.84.5.263-268
Published online: 07 Aug 2010.
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UsinganOnlineHomeworkSystemtoSubmit
AccountingHomework:RoleofCognitive
Need,ComputerEfficacy,andPerception
JACOBC.PENG
UNIVERSITYOFMICHIGAN–FLINT
FLINT,MICHIGAN
ABSTRACT.Theauthorinvestigated
whetherstudents’effortinworkingon
homeworkproblemswasaffectedbytheir
needforcognition,theirperceptionofthe
system,andtheircomputerefficacywhen
instructorsusedanonlinesystemtocollect
accountinghomework.Resultsshowedthat
individualintrinsicmotivationandcomputerefficacyareimportantfactorsindeterminingeffortandwhetherstudentsperceive
thesystemtobeuseful.Thesefindingsare
ofinteresttoeducatorsandsystemdesignersastheyconsiderimplementingonline
homeworksystemsanddeterminewhich
typesofstudentsbenefitmostfromtheuse
ofthesesystemsinclassrooms.
Keywords:computerefficacy,needfor
cognition,onlinehomework,systemfeature
Copyright©2009HeldrefPublications
E
ducators in every discipline are
constantly searching for effective
educational technologies that help students learn. Accounting educators are
no exception. One technology that has
evolvedrecentlyistheonlinehomework
system. The online homework system
allows professors to use Internet technology to implement homework problems that students are able to complete
online.Becausethissystemisautomatic, students may receive their graded
homework almost instantly and master
thematerialsthroughrepetitivepractice.
Some advantages of the online homeworksysteminclude“help[ing]students
practiceaccountinginaninteractiveand
engaging manner, confront[ing] their
deficienciesincourseprerequisites,and
ensur[ing]theygrasptheskillsandconcepts presented in their textbooks—all
without increasing professors’ workload”(ApliaInc.,2007,¶3).
One of the most acclaimed features
of the online homework system is its
interactivity. For example, a student
canclickalinktoreceiveinstantfeedback from the system. If allowed by
theinstructor,studentscanupdatetheir
answers and resubmit the homework
for a better grade. Furthermore, if the
instructoracceptsmultiplesubmissions,
students can work on homework problems repeatedly until they are satisfied with the grade they receive. Each
attemptbythestudentcancomefroma
differentsetofnumbersiftheinstructor
chooses to apply a built-in algorism to
changeproblems.Theonlinehomework
systemallowsstudentstomanagetheir
homework by exerting as much effort
at a time as is convenient for them.
One reason that an educational technology such as the online homework
systemisdevelopedistohelpstudents
learn. However, the hidden assumption
that whichever information technology
is implemented in a college classroom
contributestostudentlearningreceives
little or no challenge from educators.
The current research fills this gap by
investigating the effects of some individual differences on student effort in
doinghomeworkwhentheonlinehomeworksystemisusedinclass.
Inthepresentstudy,Itriedtodetermine whether students’ different cognitive needs, their perception of the
system’s features, and their computer
abilities can explain their effort to do
homework by using the online homeworksystem.Studentsfromanaccounting principles course volunteered to
participateinthepresentstudybycompletingasurveyattheendofthesemester. The results suggest that students
with low motivation, measured by low
needforcognition(NFC),exertedmore
effort in doing homework because of
the online homework system. For students with high motivation, measured
by a high NFC, it is possible that the
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implementationoftheonlinehomework
system in class did not play a crucial
role because they already were motivatedtoperformwellinclass.However,
highlymotivatedlearnerswhoperceive
theonlinehomeworksystemasinteractive seem to appreciate the system by
usingitmoretodotheirhomework.
Theresultsalsorevealthatifstudents
believethattheyareabletocompetently
use computers, they exert more effort
in using the online homework system.
Alternatively, if students believe that
their ability to use computers is poor,
they use the online homework system
more only if they perceive the online
homeworksystemtobeinteractive.
Thesefindingsmayshedlightonhow
instructors can use educational technology in accounting courses. Specifically,
theimplementationofeducationaltechnologies cannot use a one-size-fits-all
approach. The expectation that students
learn from using an online homework
system may not apply to all students,
especially students with different levels
ofcognitiveneedandcomputerefficacy.
System developers need to focus more
oninterfacedesign,inadditiontosystem
interactivity, to make the system more
accessible and indirectly motivate studentstousethistechnologyintheirlearning. The present article also contributes
tothestreamofresearchininformation
technology by focusing on user differences (Culnan, 1983; Seyal, Rahman,
Noah, & Rahim, 2002) and how users
use the system. Consistent with prior
findings,individualdifferencesisacrucialfactorindeterminingthesuccessof
aneducationalinformationsystem(IS).
LiteratureReviewand
HypothesesDevelopment
Theliteratureisrepletewithresearch
investigating various factors that
contribute to the success of student
learning. Among these factors, doing
homework is recognized to be one
of the most important factors that
promote student-learning success by
accountingeducators(Peters,Kethley,&
Bullington, 2002; Rayburn & Rayburn,
1999).EskewandFaley’s(1988)model
explainsstudentexamperformanceina
first college-level financial accounting
course. Eskew and Faley noted that
264
JournalofEducationforBusiness
amongtheirpredictivevariables,oneof
thevariablesthathasthelargestmarginal
contribution to the model’s explanatory
powerisstudenteffort.Thatis,students
whoexertmoreeffortduringthesemester
tendtoperformbetterontheexam.The
positive correlation between effort and
class performance is recognized widely
by accounting educators. Educators
often assign and collect homework
assignments because they believe that
doing homework requires significant
effort by students and that homework
canmotivatestudentstostudy(Rayburn
&Rayburn).FarrellyandHudson(1985)
showed that students agree with their
professorsinthathomeworkcanmotivate
them to do well in accounting courses.
Studentsliketousemultiplehomework
assignmentsasatooltolearnaccounting
subjectmatter.Theyalsopreferthattheir
professor spend enough time reviewing
homeworkproblemsinclass.
Inadditiontomotivatingstudentlearning, homework assignments are used
to stimulate students’ problem-solving
skills. Because homework problems
playamajorroleinthecognitiveskillset that students learn from accounting
courses (Davidson & Baldwin, 2005),
it is important that they are willing
to embrace the cognitive challenges
embedded in homework problems to
gain skills that are desired highly by
accounting educators and practitioners.
As a response to the need for 21stcentury accounting professionals, the
accountingeducationestablishmentcreatedtheAccountingEducationChange
Commission in the 1990s. Problemsolving skills are emphasized in the
commission’s recommendations to
improve accounting curricula. In addition, the commission also recognizes
thatmotivatedstudentsaremorelikely
to embrace cognitive challenges and
complexproblem-solvingactivities,and
that these are students who are sought
after by the accounting profession. In
the psychology literature, the willingness to engage in and enjoy effortful
cognitive endeavors is defined as the
NFC (Cacioppo, Petty, Feinstein, &
Jarvis, 1996; Cacioppo, Petty, & Kao,
1984; Peltier & Schibrowsky, 1994).
The NFC is an individual disposition
that plays a key role in the evaluationofinformation(Tam&Ho,2005).
Researchers have also found that the
NFC affects the information-search
behavior when making decisions (Verplanken&Weenig,1993).
In the accounting context, Beattie,
Collins, and McInnis (1997) introducedtheconceptofdeeplearninginto
accounting-educationliterature.Adeep
learning approach is needed to achieve
aconceptualformoflearning.However,
students’learningorientationisatleast
partly determined by students’ motivationtolearn.Todesignsuccessfulintervention strategies to improve teaching
and learning, a more in-depth look at
what motivates students in their learningprocessandhowtheybecomemore
motivated is necessary. The present
article investigates how intrinsic motivationactivatesbehaviorssuchasdoing
homework (Ford, 2006). This intrinsic motivation is related to the effort
exerted. For example, auditors with a
lowNFCarelessmotivatedintrinsically to be mentally involved in complex
audit decision making. To avoid more
unstructured decision making later in
theauditengagement,auditorswhoare
lessmotivated(lowNFC)collectmore
audit evidence in the early stages of
audit engagement (Ford & Pasewark,
2007). Through exerting more effort
by collecting audit evidence early in
the audit process, participants in Ford
and Pasewark’s study were comfortablewiththeirauditperformance.They
justifiedtheirauditperformancebycollectingmoreauditevidencesothatthey
could avoid more complex audit decisionmakinglater.
Intheonlinehomeworksystemcontext,studentswhoarelessmotivatedto
dohomeworkaremorelikelytousethe
instantfeedbackfromthesystemsothat
they can reduce their cognitive burden
whenworkingonhomeworkproblems.
Consistent with this argument, individuals with a low NFC would desire
easiertasks,possiblybyincreasingtheir
effortstoavoidcognitiveburden.Thus,
Ihypothesizedthefollowing:
Hypothesis 1 (H1): Students with a
low NFC increase their efforts to do
homeworkbyusingtheonline-homeworksystem.
One of the advantages of using an
online homework system to administer
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and deliver accounting homework is
that the system provides interactive,
automatically graded assignments that
ensure students exert quality effort on
a regular basis (Aplia Inc., 2007). The
Appendix shows an example of an
accountingproblemthatwasusedinthe
online homework system. The system
presents an accounting problem one
stepatatime.Studentsareabletowork
ontheproblemfollowingtheguidance
provided by the system. At any time,
studentscanrequestsystemfeedbackto
check their performance and progress.
Morehintsorlinkstocontentareasare
presented to students so that they can
study related content before they redo
theproblem.ConsistentwithLindquist
andOlsen’s(2007)study,studentswho
received feedback on their accounting
homework were more often satisfied,
and their perception of learning was
greater.FarrellyandHudson(1985)also
foundthat“providingcopiesofprinted
solutionstohomeworkafterhomework
isdue”isdesiredhighlybyaccounting
students (p. 49). In accordance,
Hypothesis 2 predicts that if students
perceive that the online homework
systemisinteractive,theyincreasetheir
effortstodohomework.
H2: Students who perceive the online
homework system to be interactive
increase their efforts to do homework by spending more time using
theonlinehomeworksystem.
Researchers have demonstrated that
the perceived IS features likely affect
the system use. In addition, user motivationisimportanttopromotethenew
technology. Although the technology
can help students do homework, students’ motivation affects how they use
the online homework system. Raman,
Ryan, and Olfman (2005) found that
inadditiontothetechnologyitself,the
successful implementation of instructional technology in class to help students learn may depend on student
motivation. As a result, the following
hypothesisisproposed:
H3: The perceived system interactivity
and students’ NFC (internal
motivation) affect the effort of
doing homework by using an online
homeworksystem.
Understanding the factors that affect
anindividual’suseofcomputersortechnologieshasbeenatopicofISresearch
for a long time. From the social psychology literature, Davis, Bagozzi, and
Warshaw (1986) proposed the technology acceptance model on the basis of
Fishbein and Ajzen’s (1975) theory of
reasonedaction.Inessence,theoriginal
technologyacceptancemodelpositsthat
theintentiontousetechnologyisafunctionoftheperceivedeaseofuseandthe
perceived usefulness of the technology.
ThismodelisusedwidelyinISliterature
andhasdemonstratedvalidity.However,
manyrecentresearchpapershaverecognized that additional explanatory variablesareneededtofullyunderstandhow
individuals accept and use technology.
One such variable is user’s individual
differences.Researchershavefoundthat
computerself-efficacy,oranindividual’s
confidenceinhisorherabilitytocompetentlyusecomputers(Compeau&Higgins, 1995), is a significant predictor
of computer use. Understanding individual user differences is important in
a computer-assisted education environment such as an online homework system, so that advanced intervention can
be designed to increase system use and
facilitate students’ learning. Therefore,
thefollowinghypothesisisproposed:
H4:Studentswithahighdegreeofcomputer efficacy increase their efforts
spent on homework by using the
onlinehomeworksystem.
AsIdescribedpreviously,ISresearchershaveexaminedhowdifferentfactors
contributetotheuseofcomputers.Venkatesh,Morris,Davis,andDavis(2003)
proposedaunifiedmodelthatexplained
thattheuseoftechnology,performance
expectancy, effort expectancy, as well
associalinfluenceandfacilitatingconditions are four significant factors that
determine technology acceptance and
use. Because online homework systemsprovideeasy-to-useinterfacesand
instant feedback to students, students
should expect the systems to be helpfulinstudyingsubjectmatterwithless
effort. In terms of social influence and
facilitating conditions that determine
the use of technology, the instructor
requires students to submit homework
using the system. Therefore, they are
definitely under the instructor’s influencetousethesystem.Asaresult,these
factors should all contribute to the use
of the system to promote effort toward
doinghomework.
CompeauandHiggins(1995)studied
how different computer training methods affect computer task performance.
Theyfoundthatifbothindividualsare
familiarwiththetask,theindividualwith
highcomputerefficacyscoreshigheron
performancemeasuresthantheonewho
lacksconfidence.Inotherwords,exogenousfactorssuchaspriorexperiences,
togetherwithhowconfidentindividuals
areinusingcomputers,affecttheiruse
ofthesystem.Asaresult,thefollowing
hypothesisisposited:
H5: The students’ computer efficacy and their perception of system
interactivity together affect their
effort to do homework using the
onlinehomeworksystem.
ResearchDesignandMethod
Participants were 61 undergraduate students who enrolled in financial
accounting courses and volunteered to
answerashortsurveyattheendofthe
semester. Students were familiar with
theonlinehomeworksystemafterusing
it for a full semester. Thus, they were
capable of answering survey questions
regardingtheonlinehomeworksystem.
In all, 52 students finished the survey
without missing information. Students
did not receive compensation for their
participation; however, they were
informedabouttheimportanceoftheir
participation in completing the survey
(Maheswaran & Chaiken, 1991). The
demographics of students completing
thesurveyappearinTable1.
HypothesesTestingandResults
Theproposedhypothesesweretested
usingregressionanalysis.Inthemodel,
totestfactorsaffectingtheeffortexerted
on homework, the dependent variable
was the self-reported amount of time
spent on homework every week before
the final exam, which serves as a surrogateofeffort(Idson&Clark,1991).
The independent variables were the
NFC,theperceivedsysteminteractivity,
May/June2009
265
TABLE1.SampleDescriptiveStatistics
Variable
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Gender
Male
Female
Academicclassification
Freshman
Sophomore
Junior
Senior
GPA
Age
n
%
32
20
61.5
38.5
1
17
22
11
1.9
32.7
42.3
21.2
M
SD
3.27
21.45
0.45
4.26
TABLE2.ResultsofRegressionAnalysis
Variable
M
Variable
descriptive
statistics
EFFORT
3.95
NCOG
80.10
INTER
67.90
EFFI
73.27
Regression
analysis
Constant
NCOG
INTER
EFFI
NCOG×INTER
EFFI×INTER
SD
3.33
17.10
18.59
16.94
Estimate
–2.552
–0.135
0.069
0.286
0.002
–0.004
SE
9.227
0.069
0.134
0.115
0.001
0.002
t(df=5)
p
–0.277
–1.951
0.513
2.481
2.206
–2.627
.783
.057
.611
.017
.033
.012
Note.EFFORT=β0+β1NCOG+β2INTER+β3EFFI+β4NCOG×INTER+β5EFFI×
INTER+ε.ForEFFORT,thescaleusedwasaself-reportednumberofhoursspentonhomeworkperweek;forNCOG,thescaleusedwasJ.T.Cacioppo,R.E.Petty,&C.F.Kao’s(1984)
18-itemscale;forINTER,thescaleusedwasS.J.McMillan&J.Hwang’s(2002)MPIScale;
forEFEI,thescaleusedwasD.R.Compeau&C.A.Higgins’s(1995)10-itemscale.EFFORT
=students’efforttodohomework;NCOG=needforcognition;INTER=perceptionofsystem
interactivity;EFEI=individualcomputerefficacy.
andparticipant’scomputerefficacy.The
regression model, descriptive statistics,
and variable descriptions are reported
inTable2.
H1 tests the effect of the NFC on
students’ effort in doing homework. I
measuredtheNFCusingCacioppoet
al.’s(1984)18-itemsurveyinstrument
(scale) and the mean score among 52
studentswas80.1(SD=17.1),which
is similar to other studies using this
scale (Peltier & Schibrowsky, 1994).
The hypothesis predicts that students
with low NFC exert more effort by
increasingtheiruseofthesystem.The
output from the regression analysis
in Table 2 indicates that the NFC is
266
JournalofEducationforBusiness
significant(p=.057),withapredicted
sign.Assuch,thedatasupporttheidea
thatstudentswithalowNFCincrease
their effort toward doing homework
byusingtheonlinehomeworksystem.
Hence,H1issupported.
H2 posits that if students perceive
the online homework system to be
interactive, they increase their effort
toward doing homework by using the
system more frequently. The perceived
interactivity was measured using the
measuresofperceivedinteractivitythat
McMillanandHwang(2002)developed.
The scale was developed originally
in marketing literature to measure the
consumer perception of the Internet
advertising’s interactivity. This scale
was adopted because it operationalized
the perceived interactivity from three
different perspectives: communication
(feedback), time, and user control.
These are similar to the content of the
online homework system. However,
theregressionanalysisshowedthatthe
perceivedinteractivityhasthepredicted
sign,butitisnotsignificant(p=.611).
ThedatacollectedfailedtosupportH2.
Although the perceived system
interactivity was not significant, the
interactiontermintheregressionmodel
reported in Table 2 shows that system
interactivity and the NFC were significant (p = .033). Students with a low
NFC used the homework system more
frequently if they felt that the system
wasinteractive.Itisaninterestingfindingthatsuggeststhattheperceptionof
theonlinehomeworksystemisparticularlyimportanttoexplainstudentswith
differentcognitiveneedsandtheireffort
exerteddoinghomework.Asaresult,H3
wassupported.
H4 posits that students’ computer
efficacy affects the effort needed to do
homework. The computer efficacy was
measuredusinganinstrumentCompeau
and Higgins (1995) developed, which
has been used in many empirical studies in the IS literature (Hasan, 2007;
Mort&Drennan,2007).Theinstrument
used 10 questions to determine confidence level in using various software
troubleshooting scenarios, and participants responded on a 10-point Likerttype scale ranging from 1 (not at all
confident)to10(totallyconfident).The
results of the regression analysis (see
Table2)showedthatcomputerefficacy
significantly affects how students do
theirhomeworkusingtheonlinehomeworksystem(p=.017),withapredicted
sign.Hence,H4wassupported.
H5 predicted that the individual’s
computer efficacy interacts with the
system’s perceived interactivity to
predict the effort exerted in doing
homework. Again, the regression
analysisreportedinTable2showsthat
thiseffectissignificant(p=.012).The
data suggests that if students who are
low in self-assessed computer efficacy
perceive the online homework system
tobeinteractiveintermsoftimeneeded
to complete homework and flexible,
they increase their efforts to complete
homework.Inotherwords,theperceived
onlinehomeworksystem’sinteractivity
can be important in determining effort
todohomeworkforthosewhoareless
comfortablewithusingcomputers.
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ConclusionandDiscussion
Although increasingly more educational technologies are experimented with in traditional college classes,
the effect of using these technologies
on student behavior receives little or
no attention from educators. In general, educators and system developers
assume that students will be better off
becauseofthetechnologyimplementation. In the present study, I tested this
hiddenassumptionbyinvestigatingthe
impactofstudents’individualdifferencesandtheirperceptionofthesystemon
theirefforttodoaccountinghomework.
Theprimarycontributionofthepresent
studywasfindingthevariouseffectsthat
students’individualdifferenceshaveon
theirefforttodohomework.
Overall, the results highlight the
importance of continued research on
new technology implementation in the
educationalsettingandindividuals’differences.The findings presented in the
presentarticleprovideanexampleofan
expectationgapbetweensystemimplementerandsystemusers.Theinstructor
whoadoptsanonlinehomeworksystem
expectsstudentstobenefitfromthesystembyworkingonhomeworkproblems
more. However, as the results show,
low-NFCstudentsusetheonlinehomework system more than do high-NFC
students. The availability of the online
homework system seems to provide a
shortcutforstudentswhoarelessmotivated to complete required homework.
Consistentwithpreviousresearch,how
studentsfeelabouttheircomputerabilities also has a significant impact on
theirefforttodohomework.Itprovides
evenstrongerevidencethatindividuals’
differencesmustbeconsideredwhenan
onlinehomeworksystemisused.
Understanding how users perceive
thesystem’sfeaturesandtheirresponse
by actually using the system has been
a research topic for a long time. The
present study did not find supporting
evidencethattheperceivedinteractivity
affectsefforttodohomework.However,
itdoessuggestthatprovidingfeedback
instantly and interacting with system
users should be considered with individualusercharacteristics(suchasNFC
and computer efficacy) to be meaningful when effectiveness of an online
homeworksystemisconsidered.
From the system implementers’ perspective,professorsusetheonlinehomework system to promote learning, with
theassumptionthattheonlinehomework
systemcanencouragestudentstopractice
accountingproblemsmore.However,the
results of the present study show that
is not necessarily true. Some types of
students increase their homework effort
seemingly because of the shortcut providedbythesystem,insteadofusingthe
system to learn. It would be interesting
to further study how low-NFC students
learn because of the online homework
system,notjusthowtheyuseit.Inother
words,afuturestudyshouldincorporate
learningoutcomevariablestoinvestigate
whether technology used can actually
promotelearning.
As results from the present study
show, whereas some students may be
motivated to do accounting homework
withorwithoutthesupportoftheonline
homework system, other students need
morefeedbackinthisprocess,whichis
provided by the system. Thus, instructors should not assume that students
would benefit equally from an online
homeworksysteminaneducationalsetting. It is important to consider versatility in program design to allow for
moresupportateachindividual’slevel.
To achieve this goal, the present study
provides some factors that should be
considered when assessing the effectivenessofanonlinehomeworksystem.
Forexample,anonlinehomeworksystemcanhelpstudentswithlowintrinsic
motivation and students who are not
comfortable with computer technologies, if they perceive the online homeworksystemtobeadvantageoustotheir
learning. This mechanism can be used
tosupportthedevelopmentofprograms
that can be tailored to students with
different cognitive styles. As a result,
from the system developers’ perspective,anonlinehomeworksystemcannot
just consider interactivity as providing
instant feedback (as many vendors do)
tosystemusers:Developersshouldalso
consider user interface design so that
systemusersdonotfeelfrustrated.System interface design is an important
issuetoaddresstoincreasesystemuser
acceptance(Thong,Hong,&Tam,2004)
oreventoeasecognitiveburden(Rose,
Douglas, & Rose, 2004). For example,
an intuitive interface design that aims
to reduce user cognitive load can help
studentswhoarelesscomfortablewith
computers and who are less motivated
to work on homework problems. This
is especially important when increasingly more Web-based instructional
approachesarebeingusedandstudents
come from more diverse backgrounds
(Chen&Macredie,2004).
Asinsimilarstudies,myresearchis
not free from limitations. The factors
investigated in the present article are
by no means exhaustive. Further studieshavetobeundertakenwithalarger
sampletoprovidemoreevidence.Some
findings have to be interpreted with
caution.Thoughderivedfromdatacollectedfromstudentsinthesameinstructor’s class, the results of the present
studymaynotbeabletobegeneralized
to other accounting courses. Furthermore, the present article sheds some
lightonhowaneducationaltechnology
canaffecttheprocessvariablesinstead
of outcome variables of student learning.Futurestudiesneedtotakeacloser
look at the affect of online homework
systems on student learning outcomes,
such as exam performance, amount of
learning, and student problem-solving
abilities(Petersetal.,2002;Rayburn&
Rayburn,1999).
NOTE
Jacob C. Peng is an assistant professor of
accounting.Hisresearchinterestsfocusonbehavioralresearchwheninformationtechnologiesare
used to support accounting decision making and
technologyimplicationsinbusinesseducation.
Correspondence concerning this article should
be addressed to Jacob C. Peng, 303 E. Kearsley
Street,Flint,MI48502,USA.
E-mail:jcpeng@umflint.edu
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andresearch.Reading,MA:Addison-Wesley.
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APPENDIX
ExampleInteractiveProblem
Problem:HowamIdoing?
OnJanuary1,2007,Shayissues$700,000of10%,15-yearbondsat973⁄4%oftheoriginalmarketvalue.Sixyearslater,onJanuary1,2013,
Steadmanretires20%ofthesebondsbybuyingthemontheopenmarketat1041⁄2%oftheoriginalmarketvalue.Allinterestisaccounted
forandpaidthroughDecember31,2012,thedaybeforethepurchase.Thestraight-linemethodisusedtoamortizeanybonddiscount.
Required:
1.HowmuchdoesthecompanyreceivewhenitissuesthebondsonJanuary1,2007?
2.WhatistheamountofthediscountonthebondsatJanuary1,2007?
3.HowmuchamortizationofthediscountisrecordedonthebondsfortheentireperiodfromJanuary1,2007toDecember31,2012?
4.Whatisthecarrying(book)valueofthebondsasofthecloseofbusinessonDecember31,2012?Whatisthecarryingvalueofthe
20%soon-to-be-retiredbondsonthissamedate?
5.HowmuchdidthecompanypayonJanuary1,2013topurchasethebondsthatitretired?
6.Whatistheamountoftherecordedgainorlossfromretiringthebonds?
7.PreparethejournalentrytorecordthebondretirementatJanuary1,2013.
Note.Thisisacorporatebondissuanceandretirementproblem.Manystudentshaveproblemsconceptualizingbonddiscountandbondcarryingvalue.The
sameproblempresentedintheonlinehomeworksystemwouldshoweachofsevenstepstosolvetheproblemoneatatime.Whenstudentsanswereach
stepoftheproblem,ifallowedbytheinstructor,alinktothecontentareawouldappearsothatstudentsenhancetheirunderstandingaboutaparticular
portionofthesolutionprocess.Anytimethatstudentsclick“HowamIdoing?”thesystemrespondswithfeedbackabouttheircurrentperformance.Studentshavetheoptionofcontinuingwiththeproblemorsavingtheprogressforlater.Notethatsomenumberscanbechangedeachtimethatstudentslog
intoworkontheproblem.Forexample,thebond-issuingprice(973⁄4%inthisexample)canbedifferentsothatthestudentsgetanewproblemtowork
with.Also,ifajournalentryisneeded(e.g.,Requirement7),adrop-downmenuappearssothatstudentsmayselectfromthelist(orrefertothecontent
areaforamoredetailedexplanation).
268
JournalofEducationforBusiness
ISSN: 0883-2323 (Print) 1940-3356 (Online) Journal homepage: http://www.tandfonline.com/loi/vjeb20
Using an Online Homework System to Submit
Accounting Homework: Role of Cognitive Need,
Computer Efficacy, and Perception
Jacob C. Peng
To cite this article: Jacob C. Peng (2009) Using an Online Homework System to Submit
Accounting Homework: Role of Cognitive Need, Computer Efficacy, and Perception, Journal of
Education for Business, 84:5, 263-268, DOI: 10.3200/JOEB.84.5.263-268
To link to this article: http://dx.doi.org/10.3200/JOEB.84.5.263-268
Published online: 07 Aug 2010.
Submit your article to this journal
Article views: 64
View related articles
Citing articles: 9 View citing articles
Full Terms & Conditions of access and use can be found at
http://www.tandfonline.com/action/journalInformation?journalCode=vjeb20
Download by: [Universitas Maritim Raja Ali Haji]
Date: 11 January 2016, At: 22:54
Downloaded by [Universitas Maritim Raja Ali Haji] at 22:54 11 January 2016
UsinganOnlineHomeworkSystemtoSubmit
AccountingHomework:RoleofCognitive
Need,ComputerEfficacy,andPerception
JACOBC.PENG
UNIVERSITYOFMICHIGAN–FLINT
FLINT,MICHIGAN
ABSTRACT.Theauthorinvestigated
whetherstudents’effortinworkingon
homeworkproblemswasaffectedbytheir
needforcognition,theirperceptionofthe
system,andtheircomputerefficacywhen
instructorsusedanonlinesystemtocollect
accountinghomework.Resultsshowedthat
individualintrinsicmotivationandcomputerefficacyareimportantfactorsindeterminingeffortandwhetherstudentsperceive
thesystemtobeuseful.Thesefindingsare
ofinteresttoeducatorsandsystemdesignersastheyconsiderimplementingonline
homeworksystemsanddeterminewhich
typesofstudentsbenefitmostfromtheuse
ofthesesystemsinclassrooms.
Keywords:computerefficacy,needfor
cognition,onlinehomework,systemfeature
Copyright©2009HeldrefPublications
E
ducators in every discipline are
constantly searching for effective
educational technologies that help students learn. Accounting educators are
no exception. One technology that has
evolvedrecentlyistheonlinehomework
system. The online homework system
allows professors to use Internet technology to implement homework problems that students are able to complete
online.Becausethissystemisautomatic, students may receive their graded
homework almost instantly and master
thematerialsthroughrepetitivepractice.
Some advantages of the online homeworksysteminclude“help[ing]students
practiceaccountinginaninteractiveand
engaging manner, confront[ing] their
deficienciesincourseprerequisites,and
ensur[ing]theygrasptheskillsandconcepts presented in their textbooks—all
without increasing professors’ workload”(ApliaInc.,2007,¶3).
One of the most acclaimed features
of the online homework system is its
interactivity. For example, a student
canclickalinktoreceiveinstantfeedback from the system. If allowed by
theinstructor,studentscanupdatetheir
answers and resubmit the homework
for a better grade. Furthermore, if the
instructoracceptsmultiplesubmissions,
students can work on homework problems repeatedly until they are satisfied with the grade they receive. Each
attemptbythestudentcancomefroma
differentsetofnumbersiftheinstructor
chooses to apply a built-in algorism to
changeproblems.Theonlinehomework
systemallowsstudentstomanagetheir
homework by exerting as much effort
at a time as is convenient for them.
One reason that an educational technology such as the online homework
systemisdevelopedistohelpstudents
learn. However, the hidden assumption
that whichever information technology
is implemented in a college classroom
contributestostudentlearningreceives
little or no challenge from educators.
The current research fills this gap by
investigating the effects of some individual differences on student effort in
doinghomeworkwhentheonlinehomeworksystemisusedinclass.
Inthepresentstudy,Itriedtodetermine whether students’ different cognitive needs, their perception of the
system’s features, and their computer
abilities can explain their effort to do
homework by using the online homeworksystem.Studentsfromanaccounting principles course volunteered to
participateinthepresentstudybycompletingasurveyattheendofthesemester. The results suggest that students
with low motivation, measured by low
needforcognition(NFC),exertedmore
effort in doing homework because of
the online homework system. For students with high motivation, measured
by a high NFC, it is possible that the
May/June2009
263
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implementationoftheonlinehomework
system in class did not play a crucial
role because they already were motivatedtoperformwellinclass.However,
highlymotivatedlearnerswhoperceive
theonlinehomeworksystemasinteractive seem to appreciate the system by
usingitmoretodotheirhomework.
Theresultsalsorevealthatifstudents
believethattheyareabletocompetently
use computers, they exert more effort
in using the online homework system.
Alternatively, if students believe that
their ability to use computers is poor,
they use the online homework system
more only if they perceive the online
homeworksystemtobeinteractive.
Thesefindingsmayshedlightonhow
instructors can use educational technology in accounting courses. Specifically,
theimplementationofeducationaltechnologies cannot use a one-size-fits-all
approach. The expectation that students
learn from using an online homework
system may not apply to all students,
especially students with different levels
ofcognitiveneedandcomputerefficacy.
System developers need to focus more
oninterfacedesign,inadditiontosystem
interactivity, to make the system more
accessible and indirectly motivate studentstousethistechnologyintheirlearning. The present article also contributes
tothestreamofresearchininformation
technology by focusing on user differences (Culnan, 1983; Seyal, Rahman,
Noah, & Rahim, 2002) and how users
use the system. Consistent with prior
findings,individualdifferencesisacrucialfactorindeterminingthesuccessof
aneducationalinformationsystem(IS).
LiteratureReviewand
HypothesesDevelopment
Theliteratureisrepletewithresearch
investigating various factors that
contribute to the success of student
learning. Among these factors, doing
homework is recognized to be one
of the most important factors that
promote student-learning success by
accountingeducators(Peters,Kethley,&
Bullington, 2002; Rayburn & Rayburn,
1999).EskewandFaley’s(1988)model
explainsstudentexamperformanceina
first college-level financial accounting
course. Eskew and Faley noted that
264
JournalofEducationforBusiness
amongtheirpredictivevariables,oneof
thevariablesthathasthelargestmarginal
contribution to the model’s explanatory
powerisstudenteffort.Thatis,students
whoexertmoreeffortduringthesemester
tendtoperformbetterontheexam.The
positive correlation between effort and
class performance is recognized widely
by accounting educators. Educators
often assign and collect homework
assignments because they believe that
doing homework requires significant
effort by students and that homework
canmotivatestudentstostudy(Rayburn
&Rayburn).FarrellyandHudson(1985)
showed that students agree with their
professorsinthathomeworkcanmotivate
them to do well in accounting courses.
Studentsliketousemultiplehomework
assignmentsasatooltolearnaccounting
subjectmatter.Theyalsopreferthattheir
professor spend enough time reviewing
homeworkproblemsinclass.
Inadditiontomotivatingstudentlearning, homework assignments are used
to stimulate students’ problem-solving
skills. Because homework problems
playamajorroleinthecognitiveskillset that students learn from accounting
courses (Davidson & Baldwin, 2005),
it is important that they are willing
to embrace the cognitive challenges
embedded in homework problems to
gain skills that are desired highly by
accounting educators and practitioners.
As a response to the need for 21stcentury accounting professionals, the
accountingeducationestablishmentcreatedtheAccountingEducationChange
Commission in the 1990s. Problemsolving skills are emphasized in the
commission’s recommendations to
improve accounting curricula. In addition, the commission also recognizes
thatmotivatedstudentsaremorelikely
to embrace cognitive challenges and
complexproblem-solvingactivities,and
that these are students who are sought
after by the accounting profession. In
the psychology literature, the willingness to engage in and enjoy effortful
cognitive endeavors is defined as the
NFC (Cacioppo, Petty, Feinstein, &
Jarvis, 1996; Cacioppo, Petty, & Kao,
1984; Peltier & Schibrowsky, 1994).
The NFC is an individual disposition
that plays a key role in the evaluationofinformation(Tam&Ho,2005).
Researchers have also found that the
NFC affects the information-search
behavior when making decisions (Verplanken&Weenig,1993).
In the accounting context, Beattie,
Collins, and McInnis (1997) introducedtheconceptofdeeplearninginto
accounting-educationliterature.Adeep
learning approach is needed to achieve
aconceptualformoflearning.However,
students’learningorientationisatleast
partly determined by students’ motivationtolearn.Todesignsuccessfulintervention strategies to improve teaching
and learning, a more in-depth look at
what motivates students in their learningprocessandhowtheybecomemore
motivated is necessary. The present
article investigates how intrinsic motivationactivatesbehaviorssuchasdoing
homework (Ford, 2006). This intrinsic motivation is related to the effort
exerted. For example, auditors with a
lowNFCarelessmotivatedintrinsically to be mentally involved in complex
audit decision making. To avoid more
unstructured decision making later in
theauditengagement,auditorswhoare
lessmotivated(lowNFC)collectmore
audit evidence in the early stages of
audit engagement (Ford & Pasewark,
2007). Through exerting more effort
by collecting audit evidence early in
the audit process, participants in Ford
and Pasewark’s study were comfortablewiththeirauditperformance.They
justifiedtheirauditperformancebycollectingmoreauditevidencesothatthey
could avoid more complex audit decisionmakinglater.
Intheonlinehomeworksystemcontext,studentswhoarelessmotivatedto
dohomeworkaremorelikelytousethe
instantfeedbackfromthesystemsothat
they can reduce their cognitive burden
whenworkingonhomeworkproblems.
Consistent with this argument, individuals with a low NFC would desire
easiertasks,possiblybyincreasingtheir
effortstoavoidcognitiveburden.Thus,
Ihypothesizedthefollowing:
Hypothesis 1 (H1): Students with a
low NFC increase their efforts to do
homeworkbyusingtheonline-homeworksystem.
One of the advantages of using an
online homework system to administer
Downloaded by [Universitas Maritim Raja Ali Haji] at 22:54 11 January 2016
and deliver accounting homework is
that the system provides interactive,
automatically graded assignments that
ensure students exert quality effort on
a regular basis (Aplia Inc., 2007). The
Appendix shows an example of an
accountingproblemthatwasusedinthe
online homework system. The system
presents an accounting problem one
stepatatime.Studentsareabletowork
ontheproblemfollowingtheguidance
provided by the system. At any time,
studentscanrequestsystemfeedbackto
check their performance and progress.
Morehintsorlinkstocontentareasare
presented to students so that they can
study related content before they redo
theproblem.ConsistentwithLindquist
andOlsen’s(2007)study,studentswho
received feedback on their accounting
homework were more often satisfied,
and their perception of learning was
greater.FarrellyandHudson(1985)also
foundthat“providingcopiesofprinted
solutionstohomeworkafterhomework
isdue”isdesiredhighlybyaccounting
students (p. 49). In accordance,
Hypothesis 2 predicts that if students
perceive that the online homework
systemisinteractive,theyincreasetheir
effortstodohomework.
H2: Students who perceive the online
homework system to be interactive
increase their efforts to do homework by spending more time using
theonlinehomeworksystem.
Researchers have demonstrated that
the perceived IS features likely affect
the system use. In addition, user motivationisimportanttopromotethenew
technology. Although the technology
can help students do homework, students’ motivation affects how they use
the online homework system. Raman,
Ryan, and Olfman (2005) found that
inadditiontothetechnologyitself,the
successful implementation of instructional technology in class to help students learn may depend on student
motivation. As a result, the following
hypothesisisproposed:
H3: The perceived system interactivity
and students’ NFC (internal
motivation) affect the effort of
doing homework by using an online
homeworksystem.
Understanding the factors that affect
anindividual’suseofcomputersortechnologieshasbeenatopicofISresearch
for a long time. From the social psychology literature, Davis, Bagozzi, and
Warshaw (1986) proposed the technology acceptance model on the basis of
Fishbein and Ajzen’s (1975) theory of
reasonedaction.Inessence,theoriginal
technologyacceptancemodelpositsthat
theintentiontousetechnologyisafunctionoftheperceivedeaseofuseandthe
perceived usefulness of the technology.
ThismodelisusedwidelyinISliterature
andhasdemonstratedvalidity.However,
manyrecentresearchpapershaverecognized that additional explanatory variablesareneededtofullyunderstandhow
individuals accept and use technology.
One such variable is user’s individual
differences.Researchershavefoundthat
computerself-efficacy,oranindividual’s
confidenceinhisorherabilitytocompetentlyusecomputers(Compeau&Higgins, 1995), is a significant predictor
of computer use. Understanding individual user differences is important in
a computer-assisted education environment such as an online homework system, so that advanced intervention can
be designed to increase system use and
facilitate students’ learning. Therefore,
thefollowinghypothesisisproposed:
H4:Studentswithahighdegreeofcomputer efficacy increase their efforts
spent on homework by using the
onlinehomeworksystem.
AsIdescribedpreviously,ISresearchershaveexaminedhowdifferentfactors
contributetotheuseofcomputers.Venkatesh,Morris,Davis,andDavis(2003)
proposedaunifiedmodelthatexplained
thattheuseoftechnology,performance
expectancy, effort expectancy, as well
associalinfluenceandfacilitatingconditions are four significant factors that
determine technology acceptance and
use. Because online homework systemsprovideeasy-to-useinterfacesand
instant feedback to students, students
should expect the systems to be helpfulinstudyingsubjectmatterwithless
effort. In terms of social influence and
facilitating conditions that determine
the use of technology, the instructor
requires students to submit homework
using the system. Therefore, they are
definitely under the instructor’s influencetousethesystem.Asaresult,these
factors should all contribute to the use
of the system to promote effort toward
doinghomework.
CompeauandHiggins(1995)studied
how different computer training methods affect computer task performance.
Theyfoundthatifbothindividualsare
familiarwiththetask,theindividualwith
highcomputerefficacyscoreshigheron
performancemeasuresthantheonewho
lacksconfidence.Inotherwords,exogenousfactorssuchaspriorexperiences,
togetherwithhowconfidentindividuals
areinusingcomputers,affecttheiruse
ofthesystem.Asaresult,thefollowing
hypothesisisposited:
H5: The students’ computer efficacy and their perception of system
interactivity together affect their
effort to do homework using the
onlinehomeworksystem.
ResearchDesignandMethod
Participants were 61 undergraduate students who enrolled in financial
accounting courses and volunteered to
answerashortsurveyattheendofthe
semester. Students were familiar with
theonlinehomeworksystemafterusing
it for a full semester. Thus, they were
capable of answering survey questions
regardingtheonlinehomeworksystem.
In all, 52 students finished the survey
without missing information. Students
did not receive compensation for their
participation; however, they were
informedabouttheimportanceoftheir
participation in completing the survey
(Maheswaran & Chaiken, 1991). The
demographics of students completing
thesurveyappearinTable1.
HypothesesTestingandResults
Theproposedhypothesesweretested
usingregressionanalysis.Inthemodel,
totestfactorsaffectingtheeffortexerted
on homework, the dependent variable
was the self-reported amount of time
spent on homework every week before
the final exam, which serves as a surrogateofeffort(Idson&Clark,1991).
The independent variables were the
NFC,theperceivedsysteminteractivity,
May/June2009
265
TABLE1.SampleDescriptiveStatistics
Variable
Downloaded by [Universitas Maritim Raja Ali Haji] at 22:54 11 January 2016
Gender
Male
Female
Academicclassification
Freshman
Sophomore
Junior
Senior
GPA
Age
n
%
32
20
61.5
38.5
1
17
22
11
1.9
32.7
42.3
21.2
M
SD
3.27
21.45
0.45
4.26
TABLE2.ResultsofRegressionAnalysis
Variable
M
Variable
descriptive
statistics
EFFORT
3.95
NCOG
80.10
INTER
67.90
EFFI
73.27
Regression
analysis
Constant
NCOG
INTER
EFFI
NCOG×INTER
EFFI×INTER
SD
3.33
17.10
18.59
16.94
Estimate
–2.552
–0.135
0.069
0.286
0.002
–0.004
SE
9.227
0.069
0.134
0.115
0.001
0.002
t(df=5)
p
–0.277
–1.951
0.513
2.481
2.206
–2.627
.783
.057
.611
.017
.033
.012
Note.EFFORT=β0+β1NCOG+β2INTER+β3EFFI+β4NCOG×INTER+β5EFFI×
INTER+ε.ForEFFORT,thescaleusedwasaself-reportednumberofhoursspentonhomeworkperweek;forNCOG,thescaleusedwasJ.T.Cacioppo,R.E.Petty,&C.F.Kao’s(1984)
18-itemscale;forINTER,thescaleusedwasS.J.McMillan&J.Hwang’s(2002)MPIScale;
forEFEI,thescaleusedwasD.R.Compeau&C.A.Higgins’s(1995)10-itemscale.EFFORT
=students’efforttodohomework;NCOG=needforcognition;INTER=perceptionofsystem
interactivity;EFEI=individualcomputerefficacy.
andparticipant’scomputerefficacy.The
regression model, descriptive statistics,
and variable descriptions are reported
inTable2.
H1 tests the effect of the NFC on
students’ effort in doing homework. I
measuredtheNFCusingCacioppoet
al.’s(1984)18-itemsurveyinstrument
(scale) and the mean score among 52
studentswas80.1(SD=17.1),which
is similar to other studies using this
scale (Peltier & Schibrowsky, 1994).
The hypothesis predicts that students
with low NFC exert more effort by
increasingtheiruseofthesystem.The
output from the regression analysis
in Table 2 indicates that the NFC is
266
JournalofEducationforBusiness
significant(p=.057),withapredicted
sign.Assuch,thedatasupporttheidea
thatstudentswithalowNFCincrease
their effort toward doing homework
byusingtheonlinehomeworksystem.
Hence,H1issupported.
H2 posits that if students perceive
the online homework system to be
interactive, they increase their effort
toward doing homework by using the
system more frequently. The perceived
interactivity was measured using the
measuresofperceivedinteractivitythat
McMillanandHwang(2002)developed.
The scale was developed originally
in marketing literature to measure the
consumer perception of the Internet
advertising’s interactivity. This scale
was adopted because it operationalized
the perceived interactivity from three
different perspectives: communication
(feedback), time, and user control.
These are similar to the content of the
online homework system. However,
theregressionanalysisshowedthatthe
perceivedinteractivityhasthepredicted
sign,butitisnotsignificant(p=.611).
ThedatacollectedfailedtosupportH2.
Although the perceived system
interactivity was not significant, the
interactiontermintheregressionmodel
reported in Table 2 shows that system
interactivity and the NFC were significant (p = .033). Students with a low
NFC used the homework system more
frequently if they felt that the system
wasinteractive.Itisaninterestingfindingthatsuggeststhattheperceptionof
theonlinehomeworksystemisparticularlyimportanttoexplainstudentswith
differentcognitiveneedsandtheireffort
exerteddoinghomework.Asaresult,H3
wassupported.
H4 posits that students’ computer
efficacy affects the effort needed to do
homework. The computer efficacy was
measuredusinganinstrumentCompeau
and Higgins (1995) developed, which
has been used in many empirical studies in the IS literature (Hasan, 2007;
Mort&Drennan,2007).Theinstrument
used 10 questions to determine confidence level in using various software
troubleshooting scenarios, and participants responded on a 10-point Likerttype scale ranging from 1 (not at all
confident)to10(totallyconfident).The
results of the regression analysis (see
Table2)showedthatcomputerefficacy
significantly affects how students do
theirhomeworkusingtheonlinehomeworksystem(p=.017),withapredicted
sign.Hence,H4wassupported.
H5 predicted that the individual’s
computer efficacy interacts with the
system’s perceived interactivity to
predict the effort exerted in doing
homework. Again, the regression
analysisreportedinTable2showsthat
thiseffectissignificant(p=.012).The
data suggests that if students who are
low in self-assessed computer efficacy
perceive the online homework system
tobeinteractiveintermsoftimeneeded
to complete homework and flexible,
they increase their efforts to complete
homework.Inotherwords,theperceived
onlinehomeworksystem’sinteractivity
can be important in determining effort
todohomeworkforthosewhoareless
comfortablewithusingcomputers.
Downloaded by [Universitas Maritim Raja Ali Haji] at 22:54 11 January 2016
ConclusionandDiscussion
Although increasingly more educational technologies are experimented with in traditional college classes,
the effect of using these technologies
on student behavior receives little or
no attention from educators. In general, educators and system developers
assume that students will be better off
becauseofthetechnologyimplementation. In the present study, I tested this
hiddenassumptionbyinvestigatingthe
impactofstudents’individualdifferencesandtheirperceptionofthesystemon
theirefforttodoaccountinghomework.
Theprimarycontributionofthepresent
studywasfindingthevariouseffectsthat
students’individualdifferenceshaveon
theirefforttodohomework.
Overall, the results highlight the
importance of continued research on
new technology implementation in the
educationalsettingandindividuals’differences.The findings presented in the
presentarticleprovideanexampleofan
expectationgapbetweensystemimplementerandsystemusers.Theinstructor
whoadoptsanonlinehomeworksystem
expectsstudentstobenefitfromthesystembyworkingonhomeworkproblems
more. However, as the results show,
low-NFCstudentsusetheonlinehomework system more than do high-NFC
students. The availability of the online
homework system seems to provide a
shortcutforstudentswhoarelessmotivated to complete required homework.
Consistentwithpreviousresearch,how
studentsfeelabouttheircomputerabilities also has a significant impact on
theirefforttodohomework.Itprovides
evenstrongerevidencethatindividuals’
differencesmustbeconsideredwhenan
onlinehomeworksystemisused.
Understanding how users perceive
thesystem’sfeaturesandtheirresponse
by actually using the system has been
a research topic for a long time. The
present study did not find supporting
evidencethattheperceivedinteractivity
affectsefforttodohomework.However,
itdoessuggestthatprovidingfeedback
instantly and interacting with system
users should be considered with individualusercharacteristics(suchasNFC
and computer efficacy) to be meaningful when effectiveness of an online
homeworksystemisconsidered.
From the system implementers’ perspective,professorsusetheonlinehomework system to promote learning, with
theassumptionthattheonlinehomework
systemcanencouragestudentstopractice
accountingproblemsmore.However,the
results of the present study show that
is not necessarily true. Some types of
students increase their homework effort
seemingly because of the shortcut providedbythesystem,insteadofusingthe
system to learn. It would be interesting
to further study how low-NFC students
learn because of the online homework
system,notjusthowtheyuseit.Inother
words,afuturestudyshouldincorporate
learningoutcomevariablestoinvestigate
whether technology used can actually
promotelearning.
As results from the present study
show, whereas some students may be
motivated to do accounting homework
withorwithoutthesupportoftheonline
homework system, other students need
morefeedbackinthisprocess,whichis
provided by the system. Thus, instructors should not assume that students
would benefit equally from an online
homeworksysteminaneducationalsetting. It is important to consider versatility in program design to allow for
moresupportateachindividual’slevel.
To achieve this goal, the present study
provides some factors that should be
considered when assessing the effectivenessofanonlinehomeworksystem.
Forexample,anonlinehomeworksystemcanhelpstudentswithlowintrinsic
motivation and students who are not
comfortable with computer technologies, if they perceive the online homeworksystemtobeadvantageoustotheir
learning. This mechanism can be used
tosupportthedevelopmentofprograms
that can be tailored to students with
different cognitive styles. As a result,
from the system developers’ perspective,anonlinehomeworksystemcannot
just consider interactivity as providing
instant feedback (as many vendors do)
tosystemusers:Developersshouldalso
consider user interface design so that
systemusersdonotfeelfrustrated.System interface design is an important
issuetoaddresstoincreasesystemuser
acceptance(Thong,Hong,&Tam,2004)
oreventoeasecognitiveburden(Rose,
Douglas, & Rose, 2004). For example,
an intuitive interface design that aims
to reduce user cognitive load can help
studentswhoarelesscomfortablewith
computers and who are less motivated
to work on homework problems. This
is especially important when increasingly more Web-based instructional
approachesarebeingusedandstudents
come from more diverse backgrounds
(Chen&Macredie,2004).
Asinsimilarstudies,myresearchis
not free from limitations. The factors
investigated in the present article are
by no means exhaustive. Further studieshavetobeundertakenwithalarger
sampletoprovidemoreevidence.Some
findings have to be interpreted with
caution.Thoughderivedfromdatacollectedfromstudentsinthesameinstructor’s class, the results of the present
studymaynotbeabletobegeneralized
to other accounting courses. Furthermore, the present article sheds some
lightonhowaneducationaltechnology
canaffecttheprocessvariablesinstead
of outcome variables of student learning.Futurestudiesneedtotakeacloser
look at the affect of online homework
systems on student learning outcomes,
such as exam performance, amount of
learning, and student problem-solving
abilities(Petersetal.,2002;Rayburn&
Rayburn,1999).
NOTE
Jacob C. Peng is an assistant professor of
accounting.Hisresearchinterestsfocusonbehavioralresearchwheninformationtechnologiesare
used to support accounting decision making and
technologyimplicationsinbusinesseducation.
Correspondence concerning this article should
be addressed to Jacob C. Peng, 303 E. Kearsley
Street,Flint,MI48502,USA.
E-mail:jcpeng@umflint.edu
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APPENDIX
ExampleInteractiveProblem
Problem:HowamIdoing?
OnJanuary1,2007,Shayissues$700,000of10%,15-yearbondsat973⁄4%oftheoriginalmarketvalue.Sixyearslater,onJanuary1,2013,
Steadmanretires20%ofthesebondsbybuyingthemontheopenmarketat1041⁄2%oftheoriginalmarketvalue.Allinterestisaccounted
forandpaidthroughDecember31,2012,thedaybeforethepurchase.Thestraight-linemethodisusedtoamortizeanybonddiscount.
Required:
1.HowmuchdoesthecompanyreceivewhenitissuesthebondsonJanuary1,2007?
2.WhatistheamountofthediscountonthebondsatJanuary1,2007?
3.HowmuchamortizationofthediscountisrecordedonthebondsfortheentireperiodfromJanuary1,2007toDecember31,2012?
4.Whatisthecarrying(book)valueofthebondsasofthecloseofbusinessonDecember31,2012?Whatisthecarryingvalueofthe
20%soon-to-be-retiredbondsonthissamedate?
5.HowmuchdidthecompanypayonJanuary1,2013topurchasethebondsthatitretired?
6.Whatistheamountoftherecordedgainorlossfromretiringthebonds?
7.PreparethejournalentrytorecordthebondretirementatJanuary1,2013.
Note.Thisisacorporatebondissuanceandretirementproblem.Manystudentshaveproblemsconceptualizingbonddiscountandbondcarryingvalue.The
sameproblempresentedintheonlinehomeworksystemwouldshoweachofsevenstepstosolvetheproblemoneatatime.Whenstudentsanswereach
stepoftheproblem,ifallowedbytheinstructor,alinktothecontentareawouldappearsothatstudentsenhancetheirunderstandingaboutaparticular
portionofthesolutionprocess.Anytimethatstudentsclick“HowamIdoing?”thesystemrespondswithfeedbackabouttheircurrentperformance.Studentshavetheoptionofcontinuingwiththeproblemorsavingtheprogressforlater.Notethatsomenumberscanbechangedeachtimethatstudentslog
intoworkontheproblem.Forexample,thebond-issuingprice(973⁄4%inthisexample)canbedifferentsothatthestudentsgetanewproblemtowork
with.Also,ifajournalentryisneeded(e.g.,Requirement7),adrop-downmenuappearssothatstudentsmayselectfromthelist(orrefertothecontent
areaforamoredetailedexplanation).
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