8.higher oder thinking via mathematical problem posing tasks among engineering

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ASEAN Journal of Engineering Education, 1(1) Ghasempour et al. (2012) 41 Ghasempour, Z., Kashefi, H., Bakar, M. N. & Miri, S. A. (2012). Higher-Order Thinking via Mathematical Problem Posing Tasks among Engineering Students. ASEAN Journal of Engineering Education, 1(1), 41‐47. HigherOrder Thinking via Mathematical Problem Posing Tasks among Engineering Students 1 Zahra Ghasempour, 1 Hamidreza Kashefi, 1 Md Nor Bakar, 2 Seyyed Abolfazl Miri 1 Faculty of Education, 2 Faculty of Management and Human Resource Development Universiti Teknologi Malaysia Abstract: This study characterizes engineering students’ higher‐order thinking (HOT) skills through two problem posing strategies, namely "What..., if not?" and "Modifying Given". Problem posing tasks were designed based on integral concepts from calculus textbook problems. The data were collected through students’ responses to test and semi‐structured interview. Twenty‐ six participants in the test session were selected among moderate and high achievers first year engineering students. After the test, 5 of the students were purposefully selected for the semi‐structured interview. The results reveals that the HOT skills via problem posing tasks can be characterized into "Interpreting the problem condition and demand in term of mathematics communication", "Manipulating information for constructing new problems in flexibility method", "Analysing the constructed problem regard to solvable or unsolvable", "Create new and different problem which are solvable", "Conclude a significant pattern or structure", and "Finding the differences and similarities between two parts of tasks strategies". The results confirm that problem posing tasks posses all criteria of a practical task for enhancing HOT skills among engineering students. Introduction A number of definitions of higher‐order thinking have been proposed. According to Newman (1991), higher order thinking is defined broadly as challenge and expanded use of the mind when a person must interpret, analyze, or manipulate information, because a question needs to be answered. Newman asserted that critical, logical, reflective, creative thinking and metacognitive skills can be subsumed under a more general distinction between higher order and lower order thinking. He indicated that lower order thinking represents routine, mechanistic application, and limited use of the mind. In the other word, it involves repetitive routines such as listing information previously memorized, inserting numbers into previously learned formulae, or applying the rules for footnote format in a research paper. In the contrast, Higher‐Order Thinking, or HOT for short, is thinking on a higher level than memorizing facts, so that it requires the tasks to be understood, connected to each other, categorized, manipulated, put together in new or novel ways, and applied as new solutions to new problems (Thomas, Thorne, and Small , 2000). Despite of the importance of HOT’s achievements in an effectiveness education, teaching and learning method and material in mathematics classrooms, have reminded this phenomena under shadow low‐order thinking. Over the decades, researchers have found that HOT can be taught, nurtured, and developed among learners. To achieve HOT, students should be involved in understanding and transformation of knowledge which are described as the ultimate goals of learning (Bigge, 1976). In this regard, various communications have presented criteria of valid tasks that can foster educators’ HOT; however, the most offered activities are inapplicable in mathematics classrooms which are limited to textbook content and time. Shu Mei and Yan (2005) noted that HOT rarely exists among mathematics classrooms in Singapore due to mathematics teaching and learning environments which are teacher‐centred and involve absolutely, routine procedural skills and basic concepts. Certainly, these pedagogy achievements are learners who have little understanding of the basic concepts of pre‐calculus, and even the better students, only excel in a procedural way of thinking. Furthermore, researchers (Engelbrecht, Bergsten, and Kågesten, 2009) revealed that this condition can also exist in the universities mathematics classrooms, because most tasks and examination tests are considered procedural in character, and are more formal in the concepts. Therefore, educational experts have taken efforts to design appropriate teaching‐learning materials and activate which can foster HOT among educators. Weiss (2003) classified problems which can foster HOT into: Collaborative, Authentic, Ill‐ Structured problems, and Challenging problems. According to this view, the most important criteria for promoting HOT can be followed as: Students should be involved in the transformation of knowledge and understanding. Teacher should create a communicating environment for students’ effective interaction, encouraging them to verify, question, criticize, and assess others arguments, engaging in constructing knowledge through various processes, and generating new knowledge through self‐exploration. Students need to be aware that they must be an active learner taking initiatives and responsibilities in their own learning. Shepardson (1993) asserted to the importance of cognitive engagement in making classroom effective activities that could be linked to higher order thinking skills. Continually, Anderson and Krathwohl (2001) have developed a new design for the classic Bloom’s Taxonomy as a cognitive domain with a comprehensive set of definitions that appears to encompass all aspects of HOT. In other words, they created a workable and valuable way for using objectives as tools to promote students with lower‐ level thinking into higher‐level thinking by applying the hierarchical nature of knowledge, including Remember, Understand, Apply, Analyze, Evaluate ,and Create. As a result, teachers can inquire a purposeful question in regard to revised Bloom’s taxonomy, to

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  • ASEANJournalofEngineeringEducation,1(1) Ghasempouretal.(2012)

    41Ghasempour,Z.,Kashefi,H.,Bakar,M.N.&Miri,S.A.(2012).Higher-Order Thinking via Mathematical Problem Posing Tasks among Engineering Students.ASEANJournalofEngineeringEducation,1(1),4147.

    HigherOrderThinkingviaMathematicalProblemPosingTasksamongEngineeringStudents

    1ZahraGhasempour,1HamidrezaKashefi,1MdNorBakar,2SeyyedAbolfazlMiri1FacultyofEducation,2FacultyofManagementandHumanResourceDevelopment

    UniversitiTeknologiMalaysia

    Abstract: This study characterizes engineering students higherorder thinking (HOT) skills through two problem posingstrategies,namely"What...,ifnot?"and"ModifyingGiven".Problemposingtasksweredesignedbasedonintegralconceptsfromcalculustextbookproblems.Thedatawerecollectedthroughstudentsresponsestotestandsemistructuredinterview.Twentysixparticipantsinthetestsessionwereselectedamongmoderateandhighachieversfirstyearengineeringstudents.Afterthetest,5ofthestudentswerepurposefullyselectedforthesemistructuredinterview.TheresultsrevealsthattheHOTskillsviaproblem posing tasks can be characterized into "Interpreting the problem condition and demand in term of mathematicscommunication", "Manipulating information forconstructingnewproblems in flexibilitymethod", "Analysing theconstructedproblem regard to solvable or unsolvable", "Create new and different problem which are solvable", "Conclude a significantpatternorstructure",and"Findingthedifferencesandsimilaritiesbetweentwopartsof tasksstrategies".TheresultsconfirmthatproblemposingtaskspossesallcriteriaofapracticaltaskforenhancingHOTskillsamongengineeringstudents.Introduction

    A number of definitions of higherorder thinkinghave been proposed. According to Newman (1991),higherorderthinking isdefinedbroadlyaschallengeand expanded use of themind when a personmustinterpret,analyze,ormanipulateinformation,becausea question needs to be answered. Newman assertedthat critical, logical, reflective, creative thinking andmetacognitive skills can be subsumed under amoregeneral distinction between higher order and lowerorderthinking.Heindicatedthatlowerorderthinkingrepresents routine, mechanistic application, andlimiteduseofthemind.Intheotherword,itinvolvesrepetitive routines such as listing informationpreviously memorized, inserting numbers intopreviouslylearnedformulae,orapplyingtherulesforfootnote format in a research paper. In the contrast,HigherOrder Thinking, orHOT for short, is thinkingon a higher level than memorizing facts, so that itrequires the tasks to be understood, connected toeachother,categorized,manipulated,puttogetherinnew or novelways, and applied as new solutions tonew problems (Thomas, Thorne, and Small , 2000).Despite of the importance of HOTs achievements inan effectiveness education, teaching and learningmethodandmaterialinmathematicsclassrooms,havereminded this phenomena under shadow loworderthinking.

    Overthedecades,researchershavefoundthatHOTcan be taught, nurtured, and developed amonglearners.ToachieveHOT,studentsshouldbeinvolvedin understanding and transformation of knowledgewhicharedescribedas theultimategoalsof learning(Bigge,1976).Inthisregard,variouscommunicationshave presented criteria of valid tasks that can fostereducators HOT; however, themost offered activitiesareinapplicableinmathematicsclassroomswhicharelimitedtotextbookcontentandtime.ShuMeiandYan(2005) noted that HOT rarely exists amongmathematics classrooms in Singapore due tomathematics teaching and learning environmentswhich are teachercentred and involve absolutely,routine procedural skills and basic concepts.Certainly, these pedagogy achievements are learners

    whohavelittleunderstandingofthebasicconceptsofprecalculus,andeventhebetterstudents,onlyexcelin a procedural way of thinking. Furthermore,researchers (Engelbrecht, Bergsten, and Kgesten,2009)revealedthatthisconditioncanalsoexistintheuniversities mathematics classrooms, because mosttasks and examination tests are consideredprocedural in character, and aremore formal in theconcepts. Therefore, educational experts have takenefforts to design appropriate teachinglearningmaterials and activate which can foster HOT amongeducators.

    Weiss(2003)classifiedproblemswhichcanfosterHOT into: Collaborative, Authentic, Ill Structuredproblems, and Challenging problems. According tothis view, themost important criteria for promotingHOTcanbefollowedas: Studentsshouldbeinvolvedinthetransformation

    ofknowledgeandunderstanding. Teacher should create a communicating

    environment for students effective interaction,encouraging them to verify, question, criticize,and assess others arguments, engaging inconstructing knowledge through variousprocesses, and generating new knowledgethroughselfexploration.

    Students need to be aware that theymust be anactive learner taking initiatives andresponsibilitiesintheirownlearning.Shepardson(1993)assertedtotheimportanceof

    cognitive engagement in making classroom effectiveactivitiesthatcouldbelinkedtohigherorderthinkingskills. Continually, Anderson and Krathwohl (2001)havedeveloped anewdesign for the classicBloomsTaxonomy as a cognitive domain with acomprehensive set of definitions that appears toencompass all aspects of HOT. In other words, theycreated a workable and valuable way for usingobjectives as tools to promote studentswith lowerlevel thinking into higherlevel thinking by applyingthe hierarchical nature of knowledge, includingRemember,Understand,Apply,Analyze,Evaluate,andCreate.Asaresult, teacherscan inquireapurposefulquestion in regard to revised Blooms taxonomy, to

  • ASEANJournalofEngineeringEducation,1(1) Ghasempouretal.(2012)

    42

    ensure that respondents get beyond the simpleanswersandcanthinkdeeper(Cochran,Conklin,andModin,2007). Inaddition, thesequestionscould leadparticipants from what questions associated withlowerlevel thinking into the how and whyassociated with higherlevel thinking (see AppendixI). Most significantly, recently, arguments haveindirectly confirmed that the mathematical problemposing tasks are able to improve HOT among theverity level of students. Mathematics educationexperts for instance, Chin and Kayalvizhi, 2002 andBonotto, 2008 revealed that problem posing canprovide opportunities which stimulate higher orderthinking by encouraging students to carry outinvestigations, especially openended situations.However, due to the limitation of mathematicscourses in terms of time and subject content, thesekindsofactivitiesareinappropriatetobeusedonthecontinuing basis during the semester. Therefore, anoperationalproblemposingtasksneedtobedesigninordertoimproveHOTskillsamongstudents.

    Consequently, the main objective of thiscommunication is characterizing HOT skills that areinvolved in problem posing tasks from "Originaltextbookproblem"via"structuredorsemistructuredproblem posing situations" in "Inquirybasedlearning" environment. We assert that researchfindings can encourage teachers to collaboratemathematicalproblemposingtasksintheirteachinglearning material for equipping undergraduates toHOTskills.

    Mathematics Problem Posing in InquiryBasedLearningParadigm

    Problemposingcanbedefinedasagenerationofnewproblemsorareformulationofgivenproblemsintermoftransformationofknowledge.Problemposingactivities are considered as a powerful tool forunderstanding concepts , as well as , are designedbased on several sources, such as, "Everyday life"problems,"Originaltextbookproblems","apictureordiagram" and so on. Besides, these tasks could beimplemented in mathematics class through thefollowingsteps: first,studentsshouldunderstandthegivenproblemposingsituations(e.g.,openedproblemposing situation, semistructured problem posingsituation, and structured problem posing situation).Second,theyaregivenanopportunitytodiscusswiththeir peers regarding the meaning of such problemposingsituations.Third,at theendof thediscussion,they are required to create their own problemsrespectively. Fourth, the new problems need to besolved in order to ensurewhether they are solvableproblemsorunsolvableproblems.Lastly,iftheposedproblemsareunsolvableproblemstheteacherwouldthenguidethestudentstoaltertheproblemssothatitwould become solvable problems. Forcefully, thesesignificantprocessesarguethatproblemposingtasks

    can provide suitable condition for engaging studentsin specific learning process through InquiryBasedLearning paradigm which stress on socialconstructivismideas.

    The most important elements of this theory intermofproblemposingapproachandHOTskillsaresummarizedinfollowingstatements(Bruner,1966): Pedagogyandcurriculumshouldrequirestudents

    to work together during solving problems, as aformofactivelearning.Therefore,InquiryBasedLearning reminds that learning should be basedaroundstudentsquestionsandeducationshouldtrend towardnovelattitude that students role isbeyond problem solvers as well as they canbecome skillful in discovering and correctlygenerating problems. When students begincreating their own original mathematicalquestionsandseethesequestionsasthefocusofdiscussion, their perception of the subject isprofoundly altered. Meanwhile, these activitiescouldembedtheminhighstagesofrevisedBloomtaxonomy, namely, analyzing, evaluating andcreatingwhicharelinkedtoHOTskills.Whereas,a suitable learning space cannot be launched,unless the teachers are familiar with theirresponsibilityinclassrooms.

    Teachers should be viewed as facilitators oflearning. Due to problem posing definitions as away to exercise real life situations, the tasks inteachers' hands is not only to facilitate learningprocessbuttooptimizeitbyestablishingbalancebetween conceptual understanding andproceduralunderstanding.Furthermore,trainer'srole in guiding the students during thereformation of unsolvable posed problems intosolvableproblemscanbelabeledasexpeditor.Onthe other hand, integrating problem posingactivities inmathematics lessonsenable teachersto identify the level of their studentsmathematical knowledge and the ways thatstudents can lead to a better understanding ofmathematicsconcepts.Toachievethesefacilities,criterianeedtobemadetorepresentandexplainintermofmathematicalperspectives.

    Therearethreetypesofrepresentationofhumanknowledge in mathematics, namely, "Enactive","Iconic" and "Symbolic". These notions assert tothe importance of the integration of internalizeknowledge as well as mastery in formal andprecise mathematics' languages in order to becorrectly and deeply involved in mathematicalproblem solving. Most important, thesedemonstrations are a tool for mathematicscommunication which consist of reviewing thepart of material used for constructing a newproduct ,developing a novel thinking situation,thinking of the best strategy to solve tasks by

  • ASEANJournalofEngineeringEducation,1(1) Ghasempouretal.(2012)

    43

    usinghis/herownquestionsthatleadhim/hertothesolution.Inthisstudy,researchersmonitoredHOTskillsin

    InquiryBasedLearning environment that canundertake the mentioned elements for occurringtransformation knowledge and understanding viaproblemposingactivates.Method

    Tasks were designed based on integral sectionwhichisoneofthefundamentalconceptsincalculus.In addition, "Original Textbook Problems" wereadoptedfrom"Thomas'calculus"(2005)inregardstodefinite integral definition, techniques of integration,fundamental theorem of calculus and their results,applicationofintegrationinfindingvolumeandarea.Meanwhile, the levelofproblemsweremoredifficultthan a routine classroom activity, so that researchercanexplorehowproblemposingtaskswouldengageundergraduates,aswellaswhichtypesof theirHOTskills would be occupied. According to problemposingandactivitiesframeworkassuggestedbyAbuElwan(2002),eachofthetasksconsistsoftwoparts.Part (a) involved students in problem solvingstrategies,aswellasPart(b)problemposing.Besides,What..., if not? (Brown and Walter, 2005) andModifying Given (Bairac, 2005) strategies wereconsidered as problem posing strategies that wereperformed through semistructured and structuredproblem posing situations respectively. Semistructured situations occurwhen students are askedto construct problem similar to the given problems,problemswithsimilarsituations,problemsrelatedtospecific theorems, problems derived from the givenpictures, real life and word problems by usingknowledge, skills, concepts and relationships fromtheir previous mathematical experiences. Besides,structured situations arise an appropriateenvironment for generating problems byreformulatingalreadysolvedproblemsorbyvaryingthe conditions or questions of the given problems(AbuElwan, 1999; Stoyanova, 2003). Table 1illustratestwoexamplesofresearchtasks.

    Continually, these tasks were implementedthroughtestsessionandsemistructuredinterviewasquantitative and qualitative approaches respectively.The time for test sessionwas considered 90minuteand thementioned steps in section2were relied onInquiryBasedLearning environment. Furthermore,semistructuredinterviewinterventionswereusedtoidentify more justifications about test's outcomes.During the interview, researchteacher inquired apurposeful questions in regards to the revisedBloom's taxonomy (see Appendix I) as a way toensurethatrespondentscomeupwithbeyondsimpleanswers and were thinking more deeper (Cochran,Conklin, and Modin, 2007). Additionally, these

    questions were prompted when clarification isrequestedbyparticipants.Table1:Twoexamplesofproblemposingtasksin

    thisstudy1(a) Themarginalcostofprintingaposterwhen posters

    havebeenprintedis dollars.Find c(100)c(1)

    namelythecostofprintingposters2100. (Note:Themarginalcostisc'(x)aswellasc(x)isthetotalcost.)Conditions:Demand:

    1(b) Fistposeproblem:(AddnewconditionstrategyviastructuredSituation)Addnewconditiontoproblem(a)NewConditions:NewDemand: Solve:

    1(c) Secondposeproblem:(Removeconditionstrategyviastructuredsituation)Removesomeconditionofproblem(a)NewConditions: NewDemand: Solve:

    2(a) Findtheareasoftheregionsenclosedbythecurvesandlinesbelow

    i. DetermineproblemsCondittionsexactly.ii. Solve:

    2(b) Pose the problem.(changethecontextstrategyvia

    semistrucuredsituation)Createaproblemrelatedtotheareasofregionsforgivenfigure

    i. Determineproblem'sCondittionsexactly.and

    explainhowevaluatenewconditions.ii. Expressnewproblembyformalmathematics

    connections.iii. solve:

    The respondents were twentysix first yearengineeringstudentsfromvariousfacultiesatIslamicAzad University of Birjand that were involved inanswering the test. Theywere selected purposefullyamong moderate and high achievers who could beexpected to have literacy levels sufficiently tounderstand questions and articulate in their posedquestion processes in regards to theirmark in thefinal exam of a calculus course. Most importantly,theywere firstencountered inproblemposingtasks.After the test session, five of themwere selected forthe semistructured, taskbased interview that wasperformed onebyone (Roulston, 2010). Therefore,the raw data was produced by students written

    x

    xdxdc

    21=

    .0,2,1,12 ==== yxxxy

  • ASEANJournalofEngineeringEducation,1(1) Ghasempouretal.(2012)

    44

    works in the test and the transcriptions of audiotapedobtainedthroughinterviews.

    Qualitative content analysis was used for dataanalysisviainductivereasoningtocondenserawdatainto categories or themes based on valid inferenceand interpretation (Zhang and Wildemuth, 2009);however, researchers generated codes based on therevised Bloom's taxonomy at the inception of dataanalysis.Hence,thesecodesweredevelopedintermsofthecomparativemethod.

    ResultsandDiscussions

    Accordingtofindings,morethanthreequartersofparticipants(80.77%)were"Expert"or"Practitioner"in posing problems in given tasks that wereperformed in structured situations. These levels ofperformance can lead teacherresearch to a range ofHOT skills. According to participantswrittenworks,specific HOT skills could be categorized to"Understanding correctly related strategies","Interpreting the problem condition and demand intermofmathematics communication", "Creatingnewconditionintermofformalmathlanguage","Changingthe number of conditions and generating newdemand purposefully", "Analysing the constructedproblemregardtosolvableorunsolvable","justifyingreasonsofnewunsolvableproblemfortransferringtosolvable problem". However, 73% of new conditionsand demands were cosmetic, namely participantschose both "changing the values of the given data",and "changing the number of conditions" forgeneratingproblemsintermof"ModifyingGiven"andperformedthemcorrectly,whilstonly15percentsofthem preferred to use "changing the problem'squestion" by "What..., if not?" strategy through thissituation.

    Thesefindingsindicatedundergraduatesabilitiesin procedural mathematics understanding(Marchionda, 2006) related to "techniques ofintegration"and"applicationofintegrationinfindingvolume and area". In other word, undergraduatespresentedarangeofproceduralunderstandingssuchas representing mathematical patterns, structuresandregularities,usingdeductiveargumentsto justifydecisionsfornewposedproblembasedongivendata,and generating new problem via mathematicalconnections in a loworder thinking manner. Mostimportantly, this study founded that undergraduateshad the most difficulties in using "What ...if not?"strategy for generating problems related to"characterizations of integrability concerned withcontinuity"and, "applicationof integration in findingvolumearealobject".Theseresultsassertedthatthemajority of students were unable to interpretcorrectly their answers , or even generalize theagreed situation part (a) via the mathematical termthat it can highlight a weakness in higher level ofBloom 's taxonomy consists of analyzing, evaluating,

    andcreating.Asaresult,twocategories"Creatingnewcondition in term of formal math language", and"Changing the number of conditions and generatingnew demand purposefully" occur in a routineregulation related to lowerorder thinking. Hence,teacherresearchers purposefully chose 5 of thestudentswhotheirwrittenworkswerecharacterizedas loworder thinking for encountering in the semistructuredinterview.

    The researchteacher tried to encourageparticipants HOT by leading them to generateproblems which are correct and different from theinitialproblemduringtheinterview(seeAppendixI).This method of interviewing was performed as aninstructional practices that focus on sense making,selfassessment, and reflection on what worked andwhat needs improving in term of metacognition.Because metacognition facilitates HOT skills (Kapa,2001) and often takes the form of internal dialogue,whilst many students remain unaware of itsimportance unless teachers emphasize theseprocesses explicitly and guide students towards thereflectionthatneedstooccur(Bransford,Brown,andCocking,2000).Oneexampleofthiscommunicationisasfollows:Interviwer:Nowreadpartbofproblem1 and say thatwhattheproblemaskedyoutodo.Subject3: Itasked toadd something to the conditionsof theproblem...Iwillchangethedataintheproblem.ThatisIwillput144insteadof100and1insteadof9.Interviwer: Can youwrite your own problem in the accuratemathlanguagelikethepreviouspart?Subject 3: The marginal cost of printing a poster when postershavebeenprinted is

    dollars.Find thecostof

    printingposters10144.Interviwer:Youjustchangedthedatainrepetitivemanner,canconstructanotherproblemwithsignificantchanging?Subject3:ummm...Cangiveanexample?...Interviwer: You can change the marginal cost formula to

    Subject3:ummm ... Iwould like tochange it to 12 += x

    dxdc

    and add an expense for operation like 1000$. Find the cost ofprintingposters10144.(HOTskills)(Time:5min)

    On the other hand, in "What..., if not" strategy,more than half of participants (68.31%) were"Novice" or "Apprentice", this means that they hadbasicdifficultiesinproblemposingprocessrelatedtothealteringofconcretesituationsuchasreallifetasksto a mathematical abstraction by symbolicexpressions. In addition, these levels of performancecan clarify a weakness in conceptual understanding.Therefore, written test works related to these taskswere unreliable for coding; however, prior studiesreported that "change the context" can engagelearners thinking more than structured situations

    x

    xdxdc

    21=

    xdxdc

    21=

  • ASEANJournalofEngineeringEducation,1(1) Ghasempouretal.(2012)

    45

    (AbuElwan, 2002). Consequently, HOT skills via"change the context" strategies were sought duringthe interviewsession.Themost repetitiveHOTskillswere found in the following categories: "Determinenot given information by comparing two part (a),(b)", "Designamathgraph related toa real subject","Justify and support decisionsmade and conclusionsreachedbydrawingagraphrelatedtoamathematicaltheory", "manipulating information for constructingnew problems in flexibility method", "Generate theproblems in yours words regard to formal mathlanguage", "Create new and different problemwhichare solvable", "Conclude a significant pattern orstructure", "Finding the differences and similaritiesbetweentwopart(a),(b)"and"Checkingtheanswerbysolvingnewposedproblem".Meanwhile,researchteacher stimulates HOT skills by questions andstatements which are presented in Appendix I;furthermore, when clarification was requested, sheguidedrespondsbyrelevantquestions,writingsomenoteandexample.Oneexampleofthisinterviewisasbelow:

    Interviewer:Whatwasyourdifficultyinposingthisprobleminpartb?Subject 3: I can't recall the definition of defined integral by canyougivemetheformula.Interviewer: (write:

    ,read

    again thequestioncarefullyandsay:Whatare theconditionsandthedemandsofthisproblem? Subject3:MakeaLimitproblemforthegivenintegral. Interviewer: determinethedataandtheinformationgiven.Subject3:(referredtonotegiven:

    )Yougavethelefthandpartoftheequalityandaskedustoobtaintherighthandpart.

    Interviewer:Soifyouwanttoconstructaproblem,whatshouldyoudetermine? Subject3:a,b&f,and.(HOTskill)Interviewer: Itmeansastatementinfrontof. Subject3:(wrote:a=1,b=2,1

    Interviewer:SowhathappenstotheLimityouneedtomaketheproblem? Subject3:(wrotelim

    1

    )

    Interviewer: Doyouhavefunctionf? Subject3:yes (Wrote:lim

    1

    ).(HOTskill)

    Interviewer:Now,constructedtheprobleminyourwords.Subject 3: Shall I construct a problem for lim

    1

    23orfor133?

    Interviewer:Suppose thatyouarea teacherandyouwant toconstructa limitproblem for your students to change it to thedefiniteintegralusingtheformuladefiniteintegral.Sowhatwillhappentoyouyourquestion? Subject 3: Solve the following limit using the definition ofintegral.(HOTskill)(wrotethissentenceaboveyourformula.)(Time:8min)

    Conclusion

    Problem posing tasks demand thinking on ahigher level thanmemorizing facts,namely the tasksrequire the students to understand the problemcontextexactly, informationconnected toeachother,categorized, manipulated, put together in new ornovel ways, and applied as new solutions to newproblems, so that, they can encourage highorder thinking among learners. Specially, problem posingtasks from "Original textbook problem" whenimplemented through the structured and semistructured problem posing situations can besuggested as practical activities in mathematicsclassroom , whereas, they encompass subjectconstant and can be performed at a standard time(SaintLouisUniversity,2012).

    In addition, the most important HOT skills viathesetypesoftasksbasedonNewman(1991)canbecategorized into "Interpreting the problem conditionanddemandintermofmathematicscommunication","Manipulating information for constructing newproblems in flexibility method", "Analysing theconstructed problem regard to solvable orunsolvable","Createnewanddifferentproblemwhichare solvable", "Conclude a significant pattern orstructure", "Finding the differences and similaritiesbetween two part (a), (b)".Meanwhile, teacher, as aguide should turn pupils from loworder thinkingtowards highorder thinking associated with askingthehowandwhyquestionsintermofthelevelsofthe revised Bloom's taxonomy, when teachers applythese questions in a continual manner, selfquestioning as a metacognition skill can graduallyimprove in learners which will be conducive topromotingtheirHOTskills(Kapa,2001).Forinstance,"How would you construct a newcondition/demand?", "Howdoyou justifythe logicoftheanswer?","Whatchangeswouldyoumaketosolvenew posed problem?" and "Can you generate theproblemswithyourwordsbasedontheformalmathlanguage?". However, based on the results of thisstudy,itisrecommendedthatresearchersinvestigatetheeffectsofmathematicalproblemposingactivitiesmentionedonundergraduateshigherorder thinkingskills in terms of a survey with quantity approach.RamirezandGanaden(2008)pointedoutthat,despitetheir assumption, the chemistry tasks with creativeactivities is not significantly different from theinstructionswithnocreativeactivitiestoimprovethehigherorderthinkingskillsofstudents.

    Consequently,weexpectthisstudytobeabletoencourage teachers to move toward novelperspectives of classroom activities by collaboratingproblem posing and highorder thinking approachesthroughfacetofaceclassroominteractions.ReferencesAbuElwan, R. (1999). The Development of MathematicalProblem Posing Skills For Prospective Teachers. In A.Rogerson (Ed.), Proceedings of the International Conference

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    APPENDIXI:Categoriesofsemistructuredinterviewquestionsbasedoncognitiveprocessdimension

    CognitiveProcessDimension

    Questions/Directives

    Remember Canyourecall"definiteintegraldefinition","techniquesofintegration","fundamentaltheoremofcalculusand

    theirresults","applicationofintegrationinfindingvolumeandarea"....?Understand

    Whataretheconditionsofthissectionofproblem?Whatarethedemandsofthissectionofproblem?Canyoudeterminethedataandtheinformationneedtobefound?

    Apply

    Canyouplannewproblems?Knowexactlywhattodonext.Ifyouareunsurely,dowhateverthatseemslogicalthroughreasoning.Determinethesubgoal(s).Improvetheplan(anotherway).NeedtoarrangetheinformationCanyoucarryouttheproblemposingstrategy?Howwouldyouconstructanewconditionby"changingthecontext"strategiesforposinganewproblem?Howwouldyouconstructanewdemandby"changingthecontext"strategiesforposinganewproblem?Whatisnewconditionthatyouwouldaddorremovetopreviouscondition?Whatisnewconditionthatyouwouldaddorremovetopreviouscondition?Howwouldyouevaluateyourquestion/Cansolvenewproblem?

    Analyze

    Howwouldyouanalyzethesituationinmathematicalterms,andextendpriorknowledgepresentedinpart(a)?Canyouidentifythatnewproblemissolvableorunsolvable?Whatisthemeaningoftheanswer?Howdoyoujustifythelogicoftheanswer?Putintheunitstounderstandthemeaning.Concludeasignificantpatternorstructure.Ifyoufurtherreading,canfindsomeanotherclues?Comparegivendatapart(a)and(b)

    Evaluate

    Howwouldyoujustifyandsupportdecisionsmadeandconclusionsreachedbydrawingagraphrelatedtoamathematicaltheory?Simplylookbackagain(recap).Checkingthelogicoftheequationarrangement.Checkingtheanswerbyinterpreting.Readingtoseeifthegoalisachievedasrequiredbythequestion.Checkingtheplan/analysis.Checkingthesteps,gobackanddoagain.Anotherwayofcalculationtocheck.

    Create

    Canyoudesignamathgraphrelatedtoarealsubject?Canyougeneratetheproblemsinyourswordsregardtoformalmathlanguage?Whatchangeswouldyoumaketosolvablenewposedproblem?Canyouconstructmorethan1newproblem?