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    Advancements in Large-scale

    Assessment

    Heiko Rlke & Krisztina TothDIPF - Deutsches Institut fr Internationale

    Pdagogische Forschung

    Frankfurt am Main

    TAO Days | 10.09.2012 Seite 1

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    Overview

    Trends in LSA

    Closer Look at Trends

    Example: Making Use of Data

    Challenges in LSA

    TAO Days| 10.09.2012 Seite 2

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    Trends

    Main trend: CBA

    Sub-trends/effects of CBA:

    CAT

    towards formative assessment

    Complex items

    Simulation, interconnection

    Interweaving different tests, questionnaires, etc.

    Big data

    TAO Days | 10.09.2012 Seite 3

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    Trend: CBA

    Computer-based Assessment has to serve a purpose

    Costs?

    Time!

    Validity!

    TAO Days | 10.09.2012 Seite 4

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    CAT

    Also not practiced for its own sake

    Not as important in pure summative assessment

    But:

    Strict time limits (e.g. PIAAC)

    Growing demand for formative aspects in summative

    assessment

    TAO Days | 10.09.2012 Seite 5

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    Complex Items

    Closer at reality

    Simulation

    Most important:

    Ability to assess new domains

    TAO Days | 10.09.2012 Seite 6

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    Examples of Complex Items

    Simulation of an Email / Web Scenario

    The test person receives an email and should book

    cinema tickets online.

    Dynamic Model (MicroDYN)

    The test person should explore and master a dynamic

    system with input (exogenous) variables influencing

    output (endogenous) variables.

    Automaton with Finite State Machine (MicroFIN)

    The test person should interact with a mobile phone and set time to

    summertime.

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    Interweaving of Tests and

    Questionnaires

    Framing

    test only if preconditions are fulfilled

    Double-check

    findings of questionnaire

    TAO Days | 10.09.2012 Seite 8

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    Big Data

    Log data, not only results

    Find out what is going on

    Make use of data

    E.g. partial scoring

    -> Examples from

    PIAAC PS-TRE

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    Simulation-based assessment

    Modern assessments:

    real life situations: e.g. web environments

    complexity of instrumentvarious ways

    Monitoring studentsactions - log files Analysis of test-taking paths is a relatively new field in education

    (reason: printed vs. computer-based data collection)

    Process data requires to consider and evaluate methods

    Berlin, 10.9.2012 | H. Rlke & K. Tth | TAO Days 2012 | Advancements in Large-Scale Assessments10

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    Aim

    to investigate how log data can be integrated intothe process of

    educational assessment and evaluation to support researchers

    and practitioners in making use of the data assembled in

    computer-based test delivery

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    Aim

    to investigate how log data can be integrated intothe process of

    educational assessment and evaluation to support researchers

    and practitioners in making use of the data assembled in

    computer-based test delivery

    Berlin, 10.9.2012 | H. Rlke & K. Tth | TAO Days 2012 | Advancements in Large-Scale Assessments12

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    Hypertext Item

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    Example

    log

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    Promising methods

    Statistics and visualisation

    Clustering

    Classification

    Berlin, 10.9.2012 | H. Rlke & K. Tth | TAO Days 2012 | Advancements in Large-Scale Assessments16

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    Process Measures

    Berlin, 10.9.2012 | H. Rlke & K. Tth | TAO Days 2012 | Advancements in Large-Scale Assessments17

    1. Number of page visits

    2. Number of different page visits

    3. Visit of relevant page

    4. Time spent on the relevant page

    5. Ratio of time spent on the relevant page

    6. Ratio of time spent on the opening screen

    7. Completion time

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    Statistics

    Process measures MeanStandard

    Deviation

    Number of page visits 5.18 3.13

    Number of different page visits 2.38 1.38

    Time spent on the relevant page 10.87 9.77

    Ratio of time spent on the relevant page .14 .11

    Ratio of time spent on the opening screen .64 .18

    Completion time

    67.74

    27.49

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    Distribution of different page

    visits

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    Distribution of different page

    visits

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    Visualisation

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    Visualisation

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    Cluster Analysis

    Features Cluster 1 Cluster 2 Cluster 3 Cluster 4

    Nr. of page visits

    Nr. of different page visitsCompletion time

    Relevant page visited (Y/N)

    Ratio of time on relevant page

    Ratio of time on starting page

    Distribution of sequences (%) 23% 16% 34% 27%

    Ratio of correct responses

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    Cluster Analysis

    Features Cluster 1 Cluster 2 Cluster 3 Cluster 4

    Nr. of page visits

    Nr. of different page visitsCompletion time

    Relevant page visited (Y/N)

    Ratio of time on relevant page

    Ratio of time on starting page

    Distribution of sequences (%) 23% 16% 34% 27%

    Ratio of correct responses 25.0% 1.7% 92.6% 84.4%

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    Cluster Analysis

    Features Cluster 1 Cluster 2 Cluster 3 Cluster 4

    Nr. of page visits .72 5.41

    Nr. of different page visits .36 2.54Completion time 28.38 62.08

    Relevant page visited (Y/N) No No

    Ratio of time on relevant page 0 0

    Ratio of time on starting page .93 .60

    Distribution of sequences (%) 23% 16%

    Ratio of correct responses 25.0% 1.7%

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    Cluster Analysis

    Features Cluster 1 Cluster 2 Cluster 3 Cluster 4

    Nr. of page visits 4.73 9.57

    Nr. of different page visits 2.29 4.53Completion time 59.60 91.60

    Relevant page visited (Y/N) Yes Yes

    Ratio of time on relevant page .20 .17

    Ratio of time on starting page .62 .45

    Distribution of sequences (%) 34% 27%

    Ratio of correct responses 92.6% 84.4%

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    Cluster Analysis

    Features Cluster 1 Cluster 2 Cluster 3 Cluster 4

    Nr. of page visits 5.41 4.73

    Nr. of different page visits 2.54 2.29Completion time 62.08 59.60

    Relevant page visited (Y/N) No Yes

    Ratio of time on relevant page 0 .20

    Ratio of time on starting page .60 .62

    Distribution of sequences (%) 16% 34%

    Ratio of correct responses 1.7% 92.6%

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    Cluster Analysis

    Features Cluster 1 Cluster 2 Cluster 3 Cluster 4

    Nr. of page visits .72 5.41 4.73 9.57

    Nr. of different page visits .36 2.54 2.29 4.53Completion time 28.38 62.08 59.60 91.60

    Relevant page visited (Y/N) No No Yes Yes

    Ratio of time on relevant page 0 0 .20 .17

    Ratio of time on starting page .93 .60 .62 .45

    Distribution of sequences (%) 23% 16% 34% 27%

    Ratio of correct responses 25.0% 1.7% 92.6% 84.4%

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    Summary and Conclusions

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    Summary and Conclusions

    Features Cluster 1 Cluster 2 Cluster 3 Cluster 4

    Nr. of page visits .72 5.41 4.73 9.57

    Nr. of different page visits .36 2.54 2.29 4.53Completion time 28.38 62.08 59.60 91.60

    Relevant page visited (Y/N) No No Yes Yes

    Ratio of time on relevant page 0 0 .20 .17

    Ratio of time on starting page .93 .60 .62 .45

    Distribution of sequences (%) 23% 16% 34% 27%

    Ratio of correct responses 25.0% 1.7% 92.6% 84.4%

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    Future work

    Pilot studysample size

    Validation

    Other types of items require new process measures

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    Future work

    Pilot studysample size

    Validation

    Other types of items require new process measures

    We have a lot of work to do:

    Software developer

    Test developer

    Psychometricans

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    (Selected) Challenges

    Authoring and Management

    Delivery

    Re-use and exchange

    TAO Days | 10.09.2012 Seite 34

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    (Selected) Challenges

    Authoring and Management

    Delivery

    Re-use and exchange

    TAO Days | 10.09.2012 Seite 35

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    (Selected) Challenges

    Authoring and Management

    Delivery

    Re-use and exchange

    TAO Days | 10.09.2012 Seite 36

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    (Selected) Challenges

    Authoring and Management

    Delivery

    Re-use and exchange