authentic assessment (research)

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  • 8/12/2019 Authentic Assessment (Research)

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    Integrative Performance Task (Research, Geometry, Physics) RAQUEL E. LIZARDO

    Authentic Performance Tasks Using Grasps Format:

    Goalof task related to understandings:

    To conduct bridge modeling and simulation strength test and to determine if two designs of

    truss bridge (characterized by a framework of triangles) differ significantly in terms of flexura

    strength (suggestive of the capacity of the bridge to withstand tension)

    Role:

    A member of a composite team of civil engineers and statisticians commissioned by the

    DPWH Bureau of Research and Standards (BRS)

    Audience:

    Key officials of the DPWH BRS, including its director

    Situationor Context of Scenario:

    The Bureau of Research and Standard (BRS) of the Department of Public Works and

    Highways (DPWH) would like to find out if two designs of truss bridge differ significantly in

    terms of flexural strength (flexing/bending is effected by placing a load of pre-determined

    weight on top of the bridge model); findings will be used to make decision as regard which

    design will be considered in constructing an actual bridge that will connect Calumpit,

    Bulacan and Balintawak, Quezon City.

    Product(s) or Performancesfor evaluation:

    Portfolio which contains video documentation of bridge model construction and flexura

    strength test simulation in CD format, tables of raw and processed data, and t-test worked

    computations

    Standards for evaluation:

    accuracy of measurement and scaling1, design aesthetics1, execution of simulation

    procedure1/2,data presentation and processing2, and test of hypothesis2

    Narrative of the Performance Tasks:

    The prolonged plight of most residents in the town of Calumpit in Bulacan due to heavy

    flooding brought by typhoon Pedringhas strongly prompted key government agencies to

    come up with means and measures to better facilitate relief and rescue operations in the

    town in times of calamities.

    As a member of a composite group of DPWH civil engineers and statisticians commissioned

    by the departments Bureau of Research and Standards (BRS), you are tasked to conduct

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    Integrative Performance Task (Research, Geometry, Physics) RAQUEL E. LIZARDO

    bridge modeling and simulation strength test and to determine if two designs of truss bridge

    significantly differ in terms of flexural strength based on t-test. A portfolio which contains

    video documentation of bridge model construction and flexural strength test simulation in

    CD format, tables of raw and processed data, and t-test worked computations will be

    evaluated by key officials of the DPWH BRS so as to make a sound decision as to which

    design will be considered in constructing an actual bridge that will connect Calumpit,

    Bulacan and Balintawak, Quezon City; the evaluation will be based on accuracy of

    measurement and scaling1, design aesthetics1, execution of simulation procedure1/2, data

    presentation and processing2, and test of hypothesis2.

    1 rating criteria for Geometry; 2 rating criteria for Research

    Scoring Rubric

    Components 4 3 2 1 Score

    Execution ofSimulation

    Procedure

    (20%)

    Distinct steps

    are correctly

    planned and

    executed in

    logical

    sequence; all

    measurements

    are performed

    with utmost

    precision usingcalibrated

    measuring

    device; all test

    runs are

    accurately

    replicated

    Distinct steps

    are correctly

    planned and

    executed in

    logical order;

    most

    measurements

    are performed

    with utmost

    precision usingcalibrated

    measuring

    device; most

    test runs are

    accurately

    replicated

    A number of

    steps is

    omitted

    and/or

    simultaneousl

    y executed,

    logical flow of

    execution,

    though, is still

    evident; anumber of

    flaws/inaccur

    acies in

    measurement

    s is evident;

    there is an

    attempt to

    accurately

    replicate test

    runs

    Steps are

    executed at

    random; a

    significant

    number of

    flaws/inaccur

    acies in

    measurement

    is evident;

    attempt toaccurately

    replicate test

    runs is not

    evident

    DataPresentation

    and

    Processing

    (25%)

    Data entered

    in tables are

    complete,

    accurate and

    can be

    appropriately

    manipulated

    Data entered

    in tables are

    complete,

    mostly

    accurate, and

    can be

    appropriately

    Data entered

    in tables are

    complete but

    have some

    significant

    inaccuracies,

    can be

    Data entered

    in tables are

    incomplete

    and/ or have

    many

    inaccuracies;

    data

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    Integrative Performance Task (Research, Geometry, Physics) RAQUEL E. LIZARDO

    using suitable

    formulas or

    equations

    manipulated

    using suitable

    formulas or

    equations;

    some errors,

    though, are

    present in

    data

    manipulation

    manipulated

    with the

    use of

    formulas or

    equations;

    some errors

    are present in

    data

    manipulation

    manipulation

    is

    fundamentall

    y flawed

    Test ofHypothesis

    (55%)

    Steps are

    complete and

    clearly

    indicated; all

    statisticalvariables and

    working

    equations are

    identified; all

    statistical

    computations

    are correct

    rendering

    unquestionabl

    e validity tothe decision to

    reject or fail to

    reject the null

    hypothesis

    Steps are

    complete and

    clearly

    indicated;

    most statisticalvariables and

    working

    equations are

    identified;

    most statistical

    computations

    are correct,

    computational

    flaws, though,

    arenegligible/insig

    nificant and

    do not

    compromise

    the validity of

    the decision to

    reject or fail to

    reject the null

    hypothesis

    Some steps

    are missing;

    some

    statistical

    variables andworking

    equations are

    identified;

    most

    statistical

    computations

    are flawed

    and, thus,

    somehow

    compromisethe validity of

    the decision

    to reject or fail

    to reject the

    null hypothesis

    Most steps are

    missing; most

    statistical

    variables and

    workingequations are

    not identified;

    persistent

    errors in

    statistical

    computations

    are evident

    and

    completely

    compromisethe validity of

    the decision

    to reject or fail

    to reject the

    null hypothesis