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Journal of Education for Business
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Pedagogy and the PC: Trends in the AIS Curriculum
Frank Badua
To cite this article: Frank Badua (2008) Pedagogy and the PC: Trends in the AIS Curriculum, Journal of Education for Business, 83:5, 259-264, DOI: 10.3200/JOEB.83.5.259-264
To link to this article: http://dx.doi.org/10.3200/JOEB.83.5.259-264
Published online: 07 Aug 2010.
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ince the late 20th century, com-puterized accounting informa-tion systems (AIS) have become sig-nificant in the accountant’s workplace andaccountingcurriculum(Wu,1983). Although many accountants associate AISwiththeprocessofoperatingcom-putersmerelytoinputdebitsandcredits andtogeneratefinancialstatements,the present research will empirically show that the scope of AIS is greater and moreprofoundthanthetechnicalopera-tionsofaccountingsoftware.
AIS are generally defined as a col-lection of functional components that work together to translate transaction dataintousefulinformationinfinancial statementsandmanagerreports(Kieso, Weygandt,&Warfield,2007).Thisdefi-nitionembracesawidevarietyofAIS, includingthetraditional,noncomputer-izedaccountingcycle,whoseprocesses beginwithtransactionanalysisandcul-minateinfinancialstatements(Kiesoet al.).However,popularassociationofthe terminformationsystems withcomput-ershasmadeAISsynonymouswiththe combination of traditional accounting practices and information technology used for financial reporting and mana-gerial resource planning and control (Mock,1999).
Even within this narrow definition, there is a continuum of software types thatrangesfromthebasicspreadsheet-based general ledgers to enterprise
resource planning systems (ERPs) that use a database framework to record, analyze,andformatboth(a)datafrom dollar-denominated transactions tradi-tionallymaintainedbyaccountantsand (b) information such as the number of inventorypartsinvariousstagesofthe supplychainandthenumberanddura-tion of marketing contacts held with continuing or prospective clients. Fur-thermore,AIS encompass not only the operation of these systems by the user butalsothedesignanddevelopmentof these systems based on models of the user’sdataandinformationneeds.
ResearchObjectiveandPrior Literature
Thisstudycontributestoasmallbody ofresearchfordeterminingwhatconsti-tutes AIS by empirically investigating itscurriculum.Thisresearchprincipally comprisesstudiesbyWu(1983),Davis andLeitch(1988),MurthyandGroomer (1996), and Bain, Blankley, and Smith (2002).Theseresearcherstriedtochar-acterizetheAIScourseanditscontent, availability,andpedagogy.
Wu (1983) outlined the history of AIS,beginningwiththeinitialcallsfor the American Accounting Association tointegrateinformationtechnologyinto theaccountingcurriculuminthe1950s, andsurveyedaccountingfacultytoelic-it rankings of AIS topics in order of
PedagogyandthePC:
TrendsintheAISCurriculum
FRANKBADUA
MCNEESESTATEUNIVERSITY LAKECHARLES,LOUISIANA
S
ABSTRACT. Theauthorinvestigatedthe arrayofcoursetopicsinaccountinginfor-mationsystems(AIS),ascoursesyllabi embody.Theauthor(a)usedexploratory dataanalysistodeterminethetopicsthat AIScoursesmostfrequentlyofferedand(b) useddescriptivestatisticsandeconometric analysistotracethediversityofcoursetop-icsthroughtime,complementingprevious literatureonthetopicbyprovidinganalter-nativeresearchmethodology.Theresults indicateanincreaseintopicaldiversityand anemphasisondatamodelingandAIS designanddevelopment,evidentinboththe coursetopicsofferedandthechoiceofsoft-wareintheseAIScourses.Thesefindings (a)provideareferenceforfacultywhom administratorshavetaskedwithdesigning AIScurriculaand(b)serveasabasisfor consideringthestateofaccountingeduca-tion,therelevanceofinformationsystems, andtheevolvingroleoftheaccountant. Keywords:accountinginformationsystems, diversity,exploratorydataanalysis,syllabi, topics
Copyright©2008HeldrefPublications
importance.Wuconcludedwitharecom-mendedAIScurriculumintegratingcase studies,theory,andprogramming.
Davis and Leitch (1988) surveyed bothfacultyandpracticingaccountants todeterminewhatchangesthesegroups wished would be made to the existing AIScurriculum.Thoseresearcherscon-cludedwiththefindingthat,becauseof therapidchangeininformationtechnol-ogyanditssignificanteffectonbusiness practice, there were enough topics for several specializedAIS courses within the accounting major, and they recom-mendedthecreationofagraduate-level AIScourse.
Likewise,MurthyandGroomer(1996) usedfacultysurveystodescribethechar- acteristicsoftheAIScourseandtheinsti-tutions and faculty teaching it.Although the scope of the study was much wider, it also concerned the topics offered in AIS courses, concluding that “advanced topics[suchas]databasesandmodeling receivedverylittlecoverage”(p.16).
Bain et al. (2002) used multiple research methods, including surveys of faculty and practitioners and con-tent analysis of AIS texts and syllabi, to examine topical coverage in theAIS course.Theresearchersfoundaconsen-suswasformingaboutthecorecontent of theAIS course, comprising an intro- ductiontoinformationsystems,transac-tionprocessing,andinternalcontrols.
Some findings of previous research remain relevant. For example, prior researchers have found that a signifi-cant component of theAIS curriculum comprisescontrolsandtransactionpro-cessing (Murthy & Groomer, 1996), a findingthatwefurtherinvestigate.Fur-thermore, it seems that in more recent years, researchers enacted some previ-ous recommendations, as may be seen from the increased topical diversity revealedinthisarticle’sanalysis.
Nevertheless, changes in technology andthestudentbodyhavegeneratedcur- ricularchangesthatmakepreviousfind-ingsobsolete.Forexample,thereare(a) a greater emphasis on software design and modeling that earlier research did notfind(e.g.,Murthy&Groomer,1996) tion of this article. We adopted a new research methodology, using a search engine and performing content analysis of actual course syllabi, to complement previousresearch.
METHOD
I conducted a keyword search with the search phrase “accounting informa-tion systems syllabus” on the Google search engine (http://www.google.com) onJune19,2007.Allitemsreturnedfrom that search were examined, and 65 dif-ferent course syllabi from 56 difdif-ferent colleges and universities were identified and included to form the sample. Those institutions had offered those courses to students at different tertiary educational levels,fromsophomorestograduatestu- dents.Nocourseswereofferedtofresh- men,6%ofcourseswereofferedtosoph-omores, 32% of courses were offered to juniors, 26% of courses were offered to seniors, 8% of courses were offered to postgraduates, and 28% of courses were notspecified.
Similarly, the tertiary educational institutions in the population were of different sizes. However, 4-year uni- versitiespredominated:1.8%ofinstitu-tionsinthepopulationwerecommunity or technical colleges (1 of 56), 3.6% were 4-year colleges (2 of 56), and 94.6% were 4-year universities (53 of 56).Thus,thefindingsandconclusions inthisarticlearerelevanttoavarietyof AIScoursesinuniversities.
By using a popular search engine, I avoided problems inherent in other methods that researchers used previ-ously, such as self-selection bias and nonresponse to questionnaires and surveys. Furthermore, Google returns results according to their relevance to the search terms and the frequency at which the particular search result item was accessed from the Internet. This method implies that the syllabi returned from this Web search were thosemostreferencedbyusers,regard-lessofwhethertheywerestudentsinthe coursesorfacultyusingothersyllabito configure their own. Thus, the syllabi that this search returned are the most representative of what is being taught
to students and the most influential in determining what other faculty include intheirowncourses.
Moreover, the use of syllabi as the unitofstudyprovidesabetterproxyfor what is actually taught in courses than dosurveyresponses,becausesyllabiare deemed contracts between faculty and students(Millis,1990;Parkes&Harris, 2002).Thus, whereas a survey respon-dentmayclaimtoteachatopicbutnot actuallyincludeitinhisorhercourse, anitemonacoursesyllabusissubject to enforcement by administrative over-sightandstudentexpectation.
I inspected each syllabus to identify course topics from explicit content in various parts of the syllabi, including the course description, required texts and software, and the course schedule. Areviewofsyllabifrom65AIScourses offeredbetween2001and2007identi-fied76distincttopics.
RESULTS
I performed a box-plot analysis on the frequencies at which each topic appeared in course syllabi. The results are plotted in Figure 1. Box plots are a graphical form of explanatory data analysis (EDA) revealing characteris-ticsofdatadistributionsbyplottingthe data values and denoting the median, interquartileranges,andextremeoutli-ersamongthesevalues.Thisanalysisis usedwhentheobjectiveisdetectionof unusually high or low values.Accord-ingly,Ideployedboxplotsinthisstudy to characterize the state of AIS edu-cation by identifying topics most fre-quentlyofferedinAIScourses.
MostFrequentTopics
Box-plot analysis revealed nine top-icssofrequentlyofferedinAIScourses that their frequencies appear as upper outliervalues.Amongthesearedataflow diagrams (DFDs;n = 12), e-commerce (n = 12), Great Plains (n = 14), flow-charts (n = 14), database management systems(DBMS;n=15),resourceentity agent modeling (REA;n = 18), Micro-softAccess or MDB (n = 27), controls (n =30),andaccountingcyclesorpro-cesses(n=35).Eachofthesetopicswas taughtinatleast12ofthe65coursesin thesample,andthatnumberisnotonly
abovethemediannumberofcoursesin which a topic is taught (Mdn = 2) but also beyond the upper third quartile of thefrequenciesatwhichatopicappears in anAIS course (75th-percentile mini-mumvalue=4.5).Thisfindingindicates thatAIS instructors have come to con-sider these topics the most important, perhapscomposingthefoundationofan AIScurriculum.
Ialsoexecutedalongitudinalbox-plot analysis of these topics, excluding some observationstoprovideatemporallycon-tiguoussampleofobservationsfrom2001 to 2007. This analysis yielded the result thatofninetopicsidentifiedbytheaggre-gate box-plot analysis as the most fre-quentlytaught,fourofthem—accounting cycles or processes, controls, MDB, and REA—had extremely high frequencies ofinclusionincoursesyllabiforatleast 4ofthe6yearsunderconsideration.Only one other topic, DBMS, ever had such extremefrequenciesinmorethan1year, generatingsuchvaluesin2years.
This finding underscores the preemi-nence of analysis and conceptualization
over computer operator dexterity and software competence. Only one of these topics, MDB, concerns a software pro-gram.Further,asdiscussedindetaillater, MDBisincludedinAISnottobuilddata-entryandcomputeroperatorskillsbutto teachstudentshowtoimplementdataflow conceptualizationsinanactualcomputer program.MDBistaughtsothatstudents learnnotonlyhowtooperateaninforma-tion system but also how to design one. Oftheremainingthreetopics,accounting cycles or processes and REA concern modelingframeworksthatenabletheuser toanalyzefirmpersonnel,resources,and transactions and to translate them into dataflows,withtheobjectiveofdesigning information systems around them. Con-trolsareincludedtoavoiddesignflawsin developinganinformationsystemandto detecttheminanimplementedone.
DescriptionsofMostFrequent Topics
Great Plains (also known as Micro-soft Dynamic GP) is accounting
soft-ware that accountants use to maintain financial records and prepare financial statements.Besidesthisbasicfinancial reporting function, this software also facilitates inventory and revenue cycle operations by providing accounts pay-able and accounts receivpay-able mainte-nancemodulesandassistsincashflow management through bank reconcilia-tionandbank-reportingfunctions.Asa Microsoftproduct,GreatPlainsintegrates with other Microsoft software, provid-ingavirtualenterpriseresourcecontrol software,notonlyprovidingaccounting functions such as generation of led-gerentriesandfinancialstatementsbut also tracking non-dollar-denominated events ignored in the monetary-unit- orientedaccountingcycle.
In traditional accounting courses, teachers usually discuss controls as asset (especially cash) custody proto-cols, or relative to audit planning, in whichabsenceofcontrolsoverparticu-lar transactions implies increased need of substantive testing of account bal-ances reflecting those transactions. In AIS courses, the discussion is broader, covering not only traditional account-ingcontrolsbutalsosafeguardsagainst theincreasednumberandmagnitudeof risksthatoccurinadigitalenvironment. Thus,thediscussioncovers—inaddition to standard accounting control proce-dures—computer viruses, data encryp-tion,anddatastorageandbackup.
Thediscussionofe-commerceinthe AIS curriculum usually includes many topics, dealing with the many facets of information technology and with localandwide-areanetworkconnectiv-ity issues. Another e-commerce topic relevant to AIS is the emergence of new types of transactions and business organizations,suchasbusinessprocess disaggregationande-hubs,becausethey necessitateadjustmentstothedesignof AIStocapturetherelevantinformation andcorrectlyvaluethefirmsinvolvedin thesetransactions.
I discuss the next six topics— transaction cycles, flowcharts, DFDs, REA,DBMS,andMDB—insequence, becausetheycomposetheseriesofsteps indesigninganddevelopingAIS.Many AISdesignersandAIScourseswillskip some steps, but because these actions represent a logical progression from FIGURE1.Box-plotanalysisofaccountingandinformationsystems
coursetopicfrequencyforallyearsinthesample.DBMS=database managementsystems;DFDs=dataflowdiagrams;MDB=Microsoft Access;REA=resourceentityagentmodeling.
40.00
Fr
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To
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30.00
20.00
*Cycles/processes *Controls *MDB
*REA DBMS Flowcharts E-commerce GreatPlains
DFDs 10.00
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transactions to information systems implementation,theyareoftenexecuted inonecontinuousmethodology.
Transaction cycles, also known as business process cycles, outline and analyze the basic business functions underlying firm operations (Dunn, Cherrington,&Hollander,2005).These typically include the purchasing, rev-enue,andpayrollcycles,althoughfirms with operations of greater complexity may have more. Each process or cycle is modeled as a series of procedures thatrequiredatainputfromvariousfirm entities or outsiders. Once the proce-dure has processed the data, the pro-cedure passes it along to the next step in the cycle until the system generates the desired information. Depending on the cycle, this information may take the form of purchase vouchers, bills of sale, or paychecks, which, although often thought of as requests for a spe-cific action (e.g., product delivery or payment), are essentially preformatted statements with actionable information (referredtoasformsindatabasetheory). Hence, knowledge of the components andsequenceofeventsinthesevarious cycles is important to the development ofAIS,andinmanycasesspecificsoft-ware modules are included in AIS to servecyclefunctions.
Flowcharting is the graphical analy-sis of the flow of data through firms or information systems.There are sev-eral different flowcharting protocols, but among the most popular are docu-mentflowcharts,whichtracetheflowof paperreportsthroughafirm,andsystem flowcharts ,whichtracetheflowofdigi-taldatathroughoutthefirm(Bagranoff, Simkin,&StrandNorman,2005).
DFDs are similar to flowcharts but focus on the aforementioned business process or transaction cycles. DFDs modelthedataflows,datasources,and processing involved in these cycles for designingAIS.
The REA model was first proposed for use in developingAIS in the early 1980s (McCarthy, 1982).As the name implies, REA modeling envisions the firm’s transactions in terms of the resources(assetsanddata)used,thefirm personnel and outsiders involved, and theinteractionsamongthese.Although it is possible to model firm processes
directly in the REA framework, sys-tems designers often use DFDs first to model the movement of data between REA entities.The REA model is typi-cally the last step in AIS modeling, because the model structures are, by design,immediatelytransformableinto database table schemata, which form thebasisforimplementationoftheAIS which record, update, and report data through prestructured forms or user-specified queries.Although the resem-blance is not readily apparent,AIS are actually built on a DBMS platform, because the basic functions of the two software types are the same. Like a DBMS, an AIS will record data from transactions and other business events (intheformofdebitsandcredits,dol- larsandcents,orotherunitsofmeasure-ment), update these records (through periodicandadjustingentries),andgen-erate information in either preformat-ted structures (standard financial state-ments)ornonstandardizeduserqueries (informalinternalmanagerialreports).
MDB is the database software pro-gram included in the Microsoft Office package. Like other database software, MDB’s primary function is to record, update, and report data according to standard forms or specific user que-ries.However,asastandardcomponent of the Microsoft Office system, which uses the familiar mouse/icon graphi-caluserinterface,MDB’subiquityand user friendliness make it more popular than other database applications. Like other databases, it is included in AIS syllabi because accounting and enter-prise resource information systems are essentially databases with certain spe-cificfinancialreportingfunctions.
SoftwareTopics
AlthoughsomeAIScoursesinthesam-ple (9 of 65) did not specify a software programtobeusedinclass,thosecourses that did do so revealed that 18 different softwareprogramswereusedon99occa-sions (some courses concerned several softwareprograms;seeTable1).
The mean number of times any sin-gle software was offered was 5.5, the medianwas2.5,andthe75thpercentile was7.75.Thosesoftwareprogramsthat were offered most often (in the 75th percentile of frequency) were SAP R3 (offered 8 times, and composed 8% of allsoftwareprogramofferings;SAPR3, 2008),Peachtree(n=9,9%;Peachtree, 2008), Microsoft Excel (n = 10, 10%; MDB, 2008), Great Plains (n = 14, 14%; Great Plains, 2008), and MDB (n=27,27%;MDB,2008).
Of these programs, three (SAP R3, Peachtree,andGreatPlains)arespecial-ized accounting application software. Theseprogramsarespecificallyconfig-ured to support accounting functions, suchasbookkeepingandfinancialstate-mentandmanagerialreportgeneration. The other two (Microsoft Excel and MDB)aregeneralpurposesoftwarethat can be used to support nonaccounting functions.
ThesefindingsindicatethatAISfac-ulty recognize and are responding to the needs of employers for accounting staff who are familiar with either the actual software used in the workplace or software similar to it. Nevertheless, AIS curricula also reflect the need for training beyond knowing which icons to click and what to input in various
TABLE1.NumberandPercent-ageofEachCurricularUseof SoftwareFrom2001to2007
Software Number % Baan 1 1.01 eEnterprise 1 1.01 GreatPlains 15 15.15 HTML 2 2.02 MDB 27 27.27 MYOB 2 2.02 Oracle 1 1.01 Peachtree 9 9.09 Peoplesoft 1 1.01 Quickbooks 7 7.07 SageLine 1 1.01 SAPR3 8 8.08 SQL 2 2.02 Visio 3 3.03 XBRL 6 6.06 XLS 10 10.10 XML 3 3.03 Total 99 100.00
fields.TheinclusionofMicrosoftExcel in the curriculum equips students with the skills necessary to organize and manipulate quantitative information in a spreadsheet environment. More important, instruction in MDB is a meansbywhichstudentsarecompelled to think in terms of the fundamental databaseconceptsonwhichallspecial-ized accounting software packages are based.As mentioned in the discussion of frequently offered topics, this data-base and dataflow orientation allows studentstoperceivebusinesseventsand transactions through a framework that facilitates the design and development of appropriate information systems to capturetheessentialeventandtransac-tioninformation.
EvolutionofTopicCoverage I conducted longitudinal analysis of allcoursetopicstodeterminethetrends intheirevolution.Observationsoftop-ics from undated course syllabi were excludedtohaveatemporallycontigu-ous sample. Longitudinal analysis of thecoursetopicsshowsthatthenumber of topics offered through syllabi has increased steadily from 2001 to 2007, from8topicsto39topics.Furthermore, theaveragepercentageofthetotalpop-ulation of topics that each topic com-prisedforeachofthoseyearsdecreased from13%to3%(seeTable2).
These findings indicate that the topical array that instructors present-ed toAIS students has become more diverse. To further test this result, I computed the Gini metric over the proportions at which the variousAIS coursetopicswereofferedfrom2001 to 2007. The Gini metric is typically computedas:
100SUMSQ(x1/N...xn/N), where∑x1...xn=N.
That is, the Gini index equals 100 times the sum square of a distribution of proportions, which together make uponewhole.ItisnamedfortheItal-ianeconomistandstatistician,Corrado Gini, who developed it as an index of diversity.Thismetricgeneratesascore ona100-pointscalethatislower(high-er)fordistributionsthataremore(less) equalanddiverse(Stigler,1994).
The Gini metric analysis confirms the finding that AIS course topics are becomingmorediverseovertime,asthe decreaseoftheGinimetricscorefrom 14to4.8duringtheperiodfrom2001to 2007shows.
DISCUSSION
The findings concerning frequently coveredtopicsindicatethatAIScourses have evolved to focus on training the studenttomodelbusinessprocessesand thentodesignAISonthebasisofthese models.Thisevolutionmaybeconsid-ered a positive development because it shows that accounting academe is increasingly producing a thinking pro-fessional, not just a skilled technician. Instead of merely being able to apply prescribed procedures to a set of stan-dard transactions, the accounting pro-fessionalisbeingtrainedtodevelopthe ability to grasp the essential character-istics of business events and to design procedures to capture their inherent financialtruths.
This analytical orientation is appropri-ateforeducatorstoinculcateinaccounting students,becausechangesinthebusiness environment,withthedevelopmentofnew formsofbusinessentitiesandtransactions,
meanthatknowledgeoftechnicalproce-dures based on existing situations is no longerenough.Theabilitytodevelopnew, moreappropriateprocedurestoaccurately capture firm value and decision-critical information in ever-changing business environmentsisparamount.
The types of software that AIS coursesemphasizeconfirmthisfinding. These types include not only account-ing software packages that familiarize students with computerized accounting proceduresbutalsogeneralapplication softwarethataccountantsusetoanalyze firms’ information needs and to design informationsystems.
Our findings should be useful to faculty who have been charged with thetaskofdesigningandteachingAIS courses, by describing topics that are being taught by their colleagues. This research also contributes by provid-ingaperspectiveonwhatdirectionthe AIScurriculumhastakenoverthepast several years and by analyzing what curricular changes mean to accounting educators,students,andprofessionals.
Although this study’s findings on topical diversity indicate a gain in the breadthofknowledgetowhichanAIS courseintroducesastudent,suchagain may be a mixed blessing. There exists the possibility of subjecting students to information overload, wherein the amount of data presented to them is greaterthantheamounttheycanmean-ingfully understand and indefinitely retain.Fortunately,theaveragenumber ofdistincttopicsthateducatorsoffered per course for each of the years in the longitudinal sample (2001–2007) was relativelystable,ataboutsixtopicsper course(seeTable2).
Anotherhazardisthepossibilitythat AIS courses will be so different from oneanotherthatemployerswillnolon-ger be sure what the newly graduated hires have learned from any particular AIS course. In response, AIS faculty and accounting academia may have to develop an authoritative, universally acceptedAIScorecurriculum.Howev- er,becauseofthespeedatwhichtech-nology and business practices change,
thiscurriculumwillneedconstantrevi-Variable 2001 2002 2003 2004 2005 2006 2007 Average%topicsa 13 10 5 8 5 4 3
No.oftopics 8 10 20 11 21 28 39 Ginimetric 14 10 5.9 12.5 6.79 5.46 4.8 Avg.no.oftopics
percourse 6 5.5 5.2 6.25 5.86 6 6.79
aTheaveragepercentageofthetotalpopulationoftopicsthateachcoursetopiccomprised.
ACKNOWLEDGMENT
TheauthorthanksDr.AnnWatkinsforherhelp withthisarticle.
NOTES
FrankBadua,PhD,isanassistantprofessorof accounting and accounting information systems at McNeese State University in Louisiana. He received his PhD at Rutgers, the State Univer-sity of New Jersey, and has taught at McNeese, Rutgers, and Case Western Reserve University inOhio.
Correspondence concerning this article should beaddressedtoDr.FrankBadua,McNeeseState University,CollegeofBusiness,4205RyanStreet, LakeCharles,LA70609,USA.
E-mail:fbadua@mcneese.edu
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