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Learning Assessment
 with Serious Games

Collaboratory for Interactive Learning Research (C.I.L.R.)

          Dept. of Curriculum & Instruction, COEHS
           Southern Illinois University Carbondale
                  Carbondale, Illinois, U.S.A.
Performance-based Assessment

          Monitoring of students' progress in relationship to
          identified learner outcomes.
          The Office of Technology Assessment of the U.S. Congress
     



          defines performance assessment as “any form of testing
          that requires a student to create an answer or a product
     



          that demonstrates his or her knowledge or skills.”
          This differs from traditional testing methods which
          require a student to select a single correct answer or to fill
          in the blank.
     




Christian Sebastian Loh, Ph.D.                   Southern Illinois University Carbondale, USA
Characteristics of Effective
    Performance Assessment
          Students should be active participants, not passive
          “selectors of the single right answer."
          Intended outcomes should be clearly identified and should
     


          guide the design of a performance task.
          Students should be expected to demonstrate mastery of
     


          those intended outcomes when responding to all facets of
          the task.
     


          Students must demonstrate their ability to apply their
          knowledge and skills to reality-based situations and
          scenarios.
     


          A clear, logical set of performance-based activities that
          students are expected to follow should be evident.
          A clearly presented set of criteria should be available to
     


          help judge the degree of proficiency in a student response.
     



Christian Sebastian Loh, Ph.D.                Southern Illinois University Carbondale, USA
Cognitive Learning Theory

          Knowledge is constructed. Learning is a process of creating
          personal meaning from new information and prior knowledge.
          Learning has social components. Group work is valuable.
     



          People perform better when they know the goal, see models,
          and know how their performance compares to the standard.
     



          There is great variety in learning styles, attention spans,
     



          memory, developmental paces, and intelligences.
          It's important to know when to use know when to use
     



          knowledge, how to adapt it, how to manage one's own learning.
          Motivation, effort, and self-esteem affect learning and
     



          performance.
          Learning isn't necessarily a linear progression of discrete skills.
     

     


Christian Sebastian Loh, Ph.D.                      Southern Illinois University Carbondale, USA
Definitions of Assessments

              Formal and informal ways of eliciting evidence of intended student
           Assessment
              learning
        




              Any assessment for which the first priority in its design and practice
           Assessment for Learning (AfL)
              is to serve the purpose of promoting student learning
        




              When the evidence of learning elicited by the assessment is actually
           Formative (use of) Assessment
              used to adapt teaching to meet the learning needs
        




Christian Sebastian Loh, Ph.D.                          Southern Illinois University Carbondale, USA
Casual Games

          Video game or online game targeted at a mass audience
          Any type of gameplay
          Fit any genre.
     



          Simple rules
     



          Lack of commitment required -- very little time
     



          commitment
     



          Need no special skills to play
     



          Comparatively low production and distribution costs for
          the producer
     



          Played on a personal computer online in web browsers
     


     



Christian Sebastian Loh, Ph.D.               Southern Illinois University Carbondale, USA
Casual games

        Based on Ludology            Examples:
        school of game design         Sudoku
        principles
                                


                                      Tetris, Minesweeper
       Quick, fun, engaging          Card games
       Not story-based               Casino games




Christian Sebastian Loh, Ph.D.          Southern Illinois University Carbondale, USA
Serious Games

          Games for Education, Instruction & Training
          Serious Play (Rieber, 1996), Serious Games (Abt, 1970)
          Instructors » teachers (public school) » business trainers
     



          Learners » students » employees
     
     
     




                    Salesman of the Month      A Force More Powerful


Christian Sebastian Loh, Ph.D.                 Southern Illinois University Carbondale, USA
Virtual Worlds/Complex Games

          If story-based, then it is based on the
          Naratology school of game design principles
          The story provides the context for
     



          interaction
          The story “grounds” the experience
     



          The storyline engages the mind/personality
          Player becomes the “hero” in the plot
     



          Objects in the environment are interact-
     



          able and usually for a reason (plot-related)
     
     


Christian Sebastian Loh, Ph.D.       Southern Illinois University Carbondale, USA
Current Focus for Game Design

          Current focus (of the industry) is in game
          design
          What comes after design & development?
     



          Implementation and then evaluation
          Design and evaluation (assessment) is
     



          intertwined
     



          Assessment methodology usually stem from
     



          design
          Game designers need to think about
     



          assessment as they design games (NOW)
     

Christian Sebastian Loh, Ph.D.      Southern Illinois University Carbondale, USA
Assessment of Learning
     Technology + Learner  Learning?




          Computers

                                 Students/Trainees




          (Serious)
       Video    Games
Christian Sebastian Loh, Ph.D.                       Southern Illinois University Carbondale, USA
Problems of Assessment
     Can we (teachers) know what they (learners) really
     learned?
     UNINTENDED CONTENTS?              INTENDED CONTENTS?




                                 “How do we get into the Black Box ?”

Christian Sebastian Loh, Ph.D.                              Southern Illinois University Carbondale, USA
Game Studies / Game Research

          European-based                   Scientific research
     GAME STUDIES                         GAME RESEARCH

          (Netherland)                         Problem/scenario-based
          MIT
     

                                                learning
          (Language/linguistics)               Pioneered by military-based
          Recommendation why we
                                                training
     



          should study games »
                                               Data-driven conclusions
                                              Recommendation:
          because it is a rising social
     


                                              Why we should study games
          phenomenon, and is                  To effect change in
                                          


          interesting to society
                                         

                                               Learning
                                          

              Phenomenological
                                               Education
              Ethnographical
                                               Performance
          

              Feministic, etc.
          
          

Christian Sebastian Loh, Ph.D.                     Southern Illinois University Carbondale, USA
Getting into the Black Box

     Qualitative Analysis

                                                          Video-taping the whole event
                                                          Short (1-2 sessions)
                                                          Medium (a few weeks)
                                                      



                                                          Long (a few months… even
                                                      



                                                          years)
                                                      



                                                          We need to double/triple the
                                                      



                                                          time for data analysis
                                                          Limited generalization
                                                      



                                                            Case Studies
                                                      

                                                           Ethnography
                                                          


                                                           Phenomenology



Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
Measuring Change

     Quantitative Analysis

                                     Educators’ method:
                                      Attitude surveys
                                 


                                      Measuring effects of new
                                       technology against
                                       traditional teaching method
                                      Pre-test» Intervention»Post-
                                       test
                                      Randomized testing
                                     Better Methods?
                                      Require “harder” statistics!
                                 



Christian Sebastian Loh, Ph.D.            Southern Illinois University Carbondale, USA
New Research Methods


          Large data sets
     DATA MINING                            RESEARCH FRAMEWORK

                                                Conceptual Frameworks »
           Sampling at regular intervals       Test Models
     


                                                Design for learning/
                                            

           Tens of thousands/millions
              data points
          Data mining                           design for assessment
                                                Learning framework
                                            


           Analyzing for patterns in
     

            data                                 Design-based learning?
                                                Assessment framework
                                            


           Clustering of data (amateur
            vs. experts)                         Criterion-Reference (for
                                            

           Associative data mining               games?)
           Multimedia mining                    Information Trails

Christian Sebastian Loh, Ph.D.                      Southern Illinois University Carbondale, USA
In Situ Data Collection

Information Trails
Tracking a Moving Object [Vehicle]

          Vehicle tracking is a way of monitoring the locations,
          movements, status and behavior of a vehicle or fleet of
          vehicles.
     



          This is achieved through a combination of an electronic
          tracking device fitted in the vehicle, a method of
          returning the data to the user and PC or web-based
     



          software.
          The data is turned into information by management
                 What tools in conjunction with a visual display

          on computerized mapping software.
     
          reportingcan be learned?
                 Driver 1 on schedule, lunch break: 2 eggs, 24
                 chips, 7 mushrooms and fried bread
                      Driver 3 helped friend move house



Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
Tracking Devices
     INFORMATION RECEIVED FROM    DATA RECEIVED = EVIDENCE OF
     TRACKING DEVICE / SOFTWARE   VIOLATION » NOTIFICATION




Christian Sebastian Loh, Ph.D.          Southern Illinois University Carbondale, USA
Characteristics of Tracker
          The tracker is a visual moderation and logging software product,
          which enables meeting participants to keep track of their meeting
          goals and the necessary steps to achieving them, as well as allowing
     


          contributions to be anchored within the meeting log immediately.
          The tracker graphically depicts the course of the current meeting
          and locates it within the overall context. Tangential departures from
          the meeting objectives can immediately be seen.
     


          The course of the meeting is structured efficiently and becomes
          traceable. At the end of a meeting, the minutes are already completed
          and can immediately be approved by all participants.
     


          For the most important meeting situations (such as project kick-off
          meeting, information meeting, decision meeting, crisis meeting,
          problem analysis meeting, etc.), the tracker offers proven agenda
     


          templates which will ensure an efficient meeting process.




Christian Sebastian Loh, Ph.D.                       Southern Illinois University Carbondale, USA
Agent Tracking

          Tracking is the process of locating a moving object (or
          several ones) in time.
     




              Tracking a Tropical Depression   Tracking the Position of an Object via GPS
Christian Sebastian Loh, Ph.D.                     Southern Illinois University Carbondale, USA
Tracking a Moving Object [GPS]

          A tracking unit is a device that determine the precise
          location of an animal, person, or other asset to which it is
          attached and to record the position of the asset at
     




          The recorded location data can be stored within the
          regular intervals.

          tracking unit, or it may be transmitted to a central location
          data base, or internet-connected computer.
     



          This allows the asset’s location to be displayed against a
          map backdrop either in real-time or when analyzing the
          track later, using customized software.
     




                                              Ref: http://en.wikipedia.org/wiki/GPS_tracking

Christian Sebastian Loh, Ph.D.                    Southern Illinois University Carbondale, USA
What Can Be Learned
         Tracking a live moving agent (sea turtle) in its habitat via a
         tracking device attached to the agent
    




                                        Christian Sebastian LOH [csloh@siu.edu] University
                                                                                        •
  Ref: http://www.bonairenature.com/turtles/turtletracking.html


Christian Sebastian Loh, Ph.D.                                        Southern Illinois      Carbondale, USA
Components of Tracking

     (A) PROCESS                                     (B) TIMELINE




Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
Data Processing

         Tracking the movement of Sea Turtle: Process +
          Timeline




          Data Flow: Data Logger » Pusher » Puller » Store
          Data Mining: Data Collection » Reduction »
          Visualization
     
     

Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
Foraging » Trails


                                                    foraging
             Animals                                                                                              Food Source



                                                       Path Finding
                                                         (Trails)


                 start


          • Pirolli, P., & Card, S. K. (1999). Information foraging. Psychological Review, 106(4), 643-675.
                                        Information Foraging
          • Chi, E. H., Pirolli, P., Chen, K., & Pitkow, J. (2001, March 31-April 4). Using information scent to model user
              information needs and actions on the Web. Paper presented at the SIGCHI '01, Seattle, WA.

Christian Sebastian Loh, Ph.D.                                                          Southern Illinois University Carbondale, USA
Serious Games & Assessment

            (Serious)
         Video    Games
                                 ?                          (Verification
                                                            Assessment

                                                            of Learning)




                                                                       Learning
                                                                         Goal
                                 Process of
                                  Learning

          start




Christian Sebastian Loh, Ph.D.                Southern Illinois University Carbondale, USA
Serious Games & Assessment

            (Serious)
         Video    Games
                                        ?                     (Verification
                                                              Assessment

                                                              of Learning)




                                 Information Trails




Christian Sebastian Loh, Ph.D.                  Southern Illinois University Carbondale, USA
Information Nodes

          Conceptually: Series of planned event hooks that are
          embedded within an information ecology.
          Operationally: Series of planned event hooks waiting to be
     



          trigger by players’ avatars as they traverse a virtual game
          environment. Once an event is triggered, a marker
     



          will be placed on the trail to mark the location,
          time, and outcome of the event.




Christian Sebastian Loh, Ph.D.                 Southern Illinois University Carbondale, USA
Information Trails

          Conceptually: A series of agent-detectable markings left by
          a moving agent within an information ecology.
          Operationally, it is the long track of information markings
     



          left behind by players’ avatars as they traverse a virtual
          game environment (i.e. triggered event hooks)
     




                                 Christian Sebastian LOH [csloh@siu.edu]     •    Collaboratory for InteractiveUniversity Carbondale,
                                                                                       Southern Illinois Learning Research
                                                           •   Southern Illinois University Carbondale
Christian Sebastian Loh, Ph.D.                                                                                                          USA
Tracking an Avatar
        Avatar: a representation of self in a game environment
        (An extension of self that behaves just like a live being in a
        habitat)
   



        Can a tracking device be attached on to an avatar, so as to
        track the moving agent?
        (Just like in the case of a vehicle or a turtle?)
   



        Data (locations, status, behavior) about the avatar can then
        be transmitted out of the game system, and be received and
        stored in an external data store for later analysis
   



        (Data logger » Push » Pull » Store)
        Data can then be represented graphically, where goals and
        behaviors can be scored as assessment
   



                                 Christian Sebastian LOH [csloh@siu.edu]     •    Collaboratory for InteractiveUniversity Carbondale,
                                                                                       Southern Illinois Learning Research
                                                           •   Southern Illinois University Carbondale
Christian Sebastian Loh, Ph.D.                                                                                                          USA
Serious Games & Assessment

            (Serious)
         Video    Games                                                  (Verification
                                                                         Assessment

                                                                         of Learning)




                Data                                                   Data Visualization
                                                      data              (Data Display)
              Collection
                                     Data Reduction




Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
Serious Games & Assessment
      Serious Games
       (with embedded
      Information Nodes)
                                                                         (Verification
                                                                         Assessment

                                                                         of Learning)




        Data Collection                                                Data Visualization
        (Information Trails)                          data              (Data Display)
                                     Data Reduction




Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
Game Development

       Game Developers’ Toolkit                             Game Mods
                                                         (Free, New Contents)



              Commercial

                                                          (Serious)
         Off-The-Shelf (COTS)

                                                       Video    Games                 Data Store
                Games




                                                         Persistent Worlds
                                                        (Free Multiplayer Games)




Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
Embedding Information Trails

       Game Developers’ Toolkit                             Game Mods
                                                         (Free, New Contents)




                                                           (Serious)
              Commercial

                                                        Video    Games
         Off-The-Shelf (COTS)

                                                                                      Data Store
                Games



 Embedding Information Trails
 Serious Game Developers:

 into the Game Development Process


                                                         Persistent Worlds
                                                        (Free Multiplayer Games)



Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
In Situ Data Collection
 Assessment of Digital Game-based
 Researchers:

 Learning using Information Trails
                                                             Game Mods
                                                          (Free, New Contents)


          Game Developers’ Toolkit

                                                           (Serious)
                                                        Video    Games
                                                                                      Data Store
                 Commercial
            Off-The-Shelf (COTS)
                   Games




           Assessment of Learning
                 (Based on Learners’
                                                           Persistent Worlds

                Behaviors, Decisions)
                                                          (Free Multiplayer Games)



Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
Data Visualization




Christian Sebastian Loh, Ph.D.
                                 Christian Sebastian LOH [csloh@siu.edu] University
                                                               Southern Illinois
                                                                                 •    Carbondale, USA
Data Visualization




Christian Sebastian Loh, Ph.D.   Southern Illinois University Carbondale, USA
Data Visualization




Christian Sebastian Loh, Ph.D.   Southern Illinois University Carbondale, USA

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Learning Assessment With Serious Games

  • 1. Learning Assessment with Serious Games Collaboratory for Interactive Learning Research (C.I.L.R.) Dept. of Curriculum & Instruction, COEHS Southern Illinois University Carbondale Carbondale, Illinois, U.S.A.
  • 2. Performance-based Assessment Monitoring of students' progress in relationship to identified learner outcomes. The Office of Technology Assessment of the U.S. Congress  defines performance assessment as “any form of testing that requires a student to create an answer or a product  that demonstrates his or her knowledge or skills.” This differs from traditional testing methods which require a student to select a single correct answer or to fill in the blank.  Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 3. Characteristics of Effective Performance Assessment Students should be active participants, not passive “selectors of the single right answer." Intended outcomes should be clearly identified and should  guide the design of a performance task. Students should be expected to demonstrate mastery of  those intended outcomes when responding to all facets of the task.  Students must demonstrate their ability to apply their knowledge and skills to reality-based situations and scenarios.  A clear, logical set of performance-based activities that students are expected to follow should be evident. A clearly presented set of criteria should be available to  help judge the degree of proficiency in a student response.  Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 4. Cognitive Learning Theory Knowledge is constructed. Learning is a process of creating personal meaning from new information and prior knowledge. Learning has social components. Group work is valuable.  People perform better when they know the goal, see models, and know how their performance compares to the standard.  There is great variety in learning styles, attention spans,  memory, developmental paces, and intelligences. It's important to know when to use know when to use  knowledge, how to adapt it, how to manage one's own learning. Motivation, effort, and self-esteem affect learning and  performance. Learning isn't necessarily a linear progression of discrete skills.   Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 5. Definitions of Assessments Formal and informal ways of eliciting evidence of intended student  Assessment learning  Any assessment for which the first priority in its design and practice  Assessment for Learning (AfL) is to serve the purpose of promoting student learning  When the evidence of learning elicited by the assessment is actually  Formative (use of) Assessment used to adapt teaching to meet the learning needs  Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 6. Casual Games Video game or online game targeted at a mass audience Any type of gameplay Fit any genre.  Simple rules  Lack of commitment required -- very little time  commitment  Need no special skills to play  Comparatively low production and distribution costs for the producer  Played on a personal computer online in web browsers   Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 7. Casual games Based on Ludology Examples: school of game design  Sudoku principles    Tetris, Minesweeper  Quick, fun, engaging  Card games  Not story-based  Casino games Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 8. Serious Games Games for Education, Instruction & Training Serious Play (Rieber, 1996), Serious Games (Abt, 1970) Instructors » teachers (public school) » business trainers  Learners » students » employees    Salesman of the Month A Force More Powerful Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 9. Virtual Worlds/Complex Games If story-based, then it is based on the Naratology school of game design principles The story provides the context for  interaction The story “grounds” the experience  The storyline engages the mind/personality Player becomes the “hero” in the plot  Objects in the environment are interact-  able and usually for a reason (plot-related)   Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 10. Current Focus for Game Design Current focus (of the industry) is in game design What comes after design & development?  Implementation and then evaluation Design and evaluation (assessment) is  intertwined  Assessment methodology usually stem from  design Game designers need to think about  assessment as they design games (NOW)  Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 11. Assessment of Learning Technology + Learner  Learning? Computers Students/Trainees (Serious) Video Games Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 12. Problems of Assessment Can we (teachers) know what they (learners) really learned? UNINTENDED CONTENTS? INTENDED CONTENTS? “How do we get into the Black Box ?” Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 13. Game Studies / Game Research European-based  Scientific research GAME STUDIES GAME RESEARCH (Netherland)  Problem/scenario-based MIT  learning (Language/linguistics)  Pioneered by military-based Recommendation why we training  should study games »  Data-driven conclusions Recommendation: because it is a rising social  Why we should study games phenomenon, and is To effect change in  interesting to society    Learning  Phenomenological  Education Ethnographical  Performance  Feministic, etc.   Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 14. Getting into the Black Box Qualitative Analysis Video-taping the whole event Short (1-2 sessions) Medium (a few weeks)  Long (a few months… even  years)  We need to double/triple the  time for data analysis Limited generalization  Case Studies   Ethnography   Phenomenology Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 15. Measuring Change Quantitative Analysis Educators’ method:  Attitude surveys   Measuring effects of new technology against traditional teaching method  Pre-test» Intervention»Post- test  Randomized testing Better Methods?  Require “harder” statistics!  Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 16. New Research Methods Large data sets DATA MINING RESEARCH FRAMEWORK Conceptual Frameworks »  Sampling at regular intervals Test Models  Design for learning/   Tens of thousands/millions data points Data mining design for assessment Learning framework   Analyzing for patterns in  data  Design-based learning? Assessment framework   Clustering of data (amateur vs. experts)  Criterion-Reference (for   Associative data mining games?)  Multimedia mining  Information Trails Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 17. In Situ Data Collection Information Trails
  • 18. Tracking a Moving Object [Vehicle] Vehicle tracking is a way of monitoring the locations, movements, status and behavior of a vehicle or fleet of vehicles.  This is achieved through a combination of an electronic tracking device fitted in the vehicle, a method of returning the data to the user and PC or web-based  software. The data is turned into information by management What tools in conjunction with a visual display on computerized mapping software.  reportingcan be learned? Driver 1 on schedule, lunch break: 2 eggs, 24 chips, 7 mushrooms and fried bread Driver 3 helped friend move house Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 19. Tracking Devices INFORMATION RECEIVED FROM DATA RECEIVED = EVIDENCE OF TRACKING DEVICE / SOFTWARE VIOLATION » NOTIFICATION Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 20. Characteristics of Tracker The tracker is a visual moderation and logging software product, which enables meeting participants to keep track of their meeting goals and the necessary steps to achieving them, as well as allowing  contributions to be anchored within the meeting log immediately. The tracker graphically depicts the course of the current meeting and locates it within the overall context. Tangential departures from the meeting objectives can immediately be seen.  The course of the meeting is structured efficiently and becomes traceable. At the end of a meeting, the minutes are already completed and can immediately be approved by all participants.  For the most important meeting situations (such as project kick-off meeting, information meeting, decision meeting, crisis meeting, problem analysis meeting, etc.), the tracker offers proven agenda  templates which will ensure an efficient meeting process. Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 21. Agent Tracking Tracking is the process of locating a moving object (or several ones) in time.  Tracking a Tropical Depression Tracking the Position of an Object via GPS Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 22. Tracking a Moving Object [GPS] A tracking unit is a device that determine the precise location of an animal, person, or other asset to which it is attached and to record the position of the asset at  The recorded location data can be stored within the regular intervals. tracking unit, or it may be transmitted to a central location data base, or internet-connected computer.  This allows the asset’s location to be displayed against a map backdrop either in real-time or when analyzing the track later, using customized software.  Ref: http://en.wikipedia.org/wiki/GPS_tracking Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 23. What Can Be Learned Tracking a live moving agent (sea turtle) in its habitat via a tracking device attached to the agent  Christian Sebastian LOH [csloh@siu.edu] University • Ref: http://www.bonairenature.com/turtles/turtletracking.html Christian Sebastian Loh, Ph.D. Southern Illinois Carbondale, USA
  • 24. Components of Tracking (A) PROCESS (B) TIMELINE Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 25. Data Processing  Tracking the movement of Sea Turtle: Process + Timeline Data Flow: Data Logger » Pusher » Puller » Store Data Mining: Data Collection » Reduction » Visualization   Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 26. Foraging » Trails foraging Animals Food Source Path Finding (Trails) start • Pirolli, P., & Card, S. K. (1999). Information foraging. Psychological Review, 106(4), 643-675. Information Foraging • Chi, E. H., Pirolli, P., Chen, K., & Pitkow, J. (2001, March 31-April 4). Using information scent to model user information needs and actions on the Web. Paper presented at the SIGCHI '01, Seattle, WA. Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 27. Serious Games & Assessment (Serious) Video Games ? (Verification Assessment of Learning) Learning Goal Process of Learning start Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 28. Serious Games & Assessment (Serious) Video Games ? (Verification Assessment of Learning) Information Trails Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 29. Information Nodes Conceptually: Series of planned event hooks that are embedded within an information ecology. Operationally: Series of planned event hooks waiting to be  trigger by players’ avatars as they traverse a virtual game environment. Once an event is triggered, a marker  will be placed on the trail to mark the location, time, and outcome of the event. Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 30. Information Trails Conceptually: A series of agent-detectable markings left by a moving agent within an information ecology. Operationally, it is the long track of information markings  left behind by players’ avatars as they traverse a virtual game environment (i.e. triggered event hooks)  Christian Sebastian LOH [csloh@siu.edu] • Collaboratory for InteractiveUniversity Carbondale, Southern Illinois Learning Research • Southern Illinois University Carbondale Christian Sebastian Loh, Ph.D. USA
  • 31. Tracking an Avatar Avatar: a representation of self in a game environment (An extension of self that behaves just like a live being in a habitat)  Can a tracking device be attached on to an avatar, so as to track the moving agent? (Just like in the case of a vehicle or a turtle?)  Data (locations, status, behavior) about the avatar can then be transmitted out of the game system, and be received and stored in an external data store for later analysis  (Data logger » Push » Pull » Store) Data can then be represented graphically, where goals and behaviors can be scored as assessment  Christian Sebastian LOH [csloh@siu.edu] • Collaboratory for InteractiveUniversity Carbondale, Southern Illinois Learning Research • Southern Illinois University Carbondale Christian Sebastian Loh, Ph.D. USA
  • 32. Serious Games & Assessment (Serious) Video Games (Verification Assessment of Learning) Data Data Visualization data (Data Display) Collection Data Reduction Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 33. Serious Games & Assessment Serious Games (with embedded Information Nodes) (Verification Assessment of Learning) Data Collection Data Visualization (Information Trails) data (Data Display) Data Reduction Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 34. Game Development Game Developers’ Toolkit Game Mods (Free, New Contents) Commercial (Serious) Off-The-Shelf (COTS) Video Games Data Store Games Persistent Worlds (Free Multiplayer Games) Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 35. Embedding Information Trails Game Developers’ Toolkit Game Mods (Free, New Contents) (Serious) Commercial Video Games Off-The-Shelf (COTS) Data Store Games Embedding Information Trails Serious Game Developers: into the Game Development Process Persistent Worlds (Free Multiplayer Games) Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 36. In Situ Data Collection Assessment of Digital Game-based Researchers: Learning using Information Trails Game Mods (Free, New Contents) Game Developers’ Toolkit (Serious) Video Games Data Store Commercial Off-The-Shelf (COTS) Games Assessment of Learning (Based on Learners’ Persistent Worlds Behaviors, Decisions) (Free Multiplayer Games) Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 37. Data Visualization Christian Sebastian Loh, Ph.D. Christian Sebastian LOH [csloh@siu.edu] University Southern Illinois • Carbondale, USA
  • 38. Data Visualization Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA
  • 39. Data Visualization Christian Sebastian Loh, Ph.D. Southern Illinois University Carbondale, USA