phillip e. mcclean bernhardt saini-eidukat donald p. schwert brian m. slator alan r. white north...
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Phillip E. McClean Phillip E. McClean
Bernhardt Saini-EidukatBernhardt Saini-Eidukat
Donald P. SchwertDonald P. Schwert
Brian M. SlatorBrian M. Slator
Alan R. WhiteAlan R. White
North Dakota North Dakota
State University, FargoState University, Fargo
Virtual Worlds Virtual Worlds Research at NDSUResearch at NDSU
NDSU WWWICNDSU WWWICWorld Wide Web Instructional CommitteeWorld Wide Web Instructional Committee
WWWIC’s virtual worlds research supported by NSF grants DUE-9752548, EAR-9809761, DUE-9981094,
ITR-0086142 and EPSCoR 99-77788
WWWIC faculty supported by large teams of WWWIC faculty supported by large teams of undergraduate and graduate students.undergraduate and graduate students.
Paul Juell
Donald SchwertPhillip McClean
Brian SlatorBernhardt Saini-Eidukat
Alan WhiteJeff Clark
MultiUserMultiUser
Exploration Exploration
Spatially-oriented virtual worldsSpatially-oriented virtual worlds
Practical planning and decision Practical planning and decision
makingmaking
Educational Role-playing GamesEducational Role-playing Games
“Learning-by-doing” Experiences“Learning-by-doing” Experiences
Virtual Worlds Can:Virtual Worlds Can:
Collapse virtual time and distanceCollapse virtual time and distance Allow physical or practical Allow physical or practical
impossibilitiesimpossibilities Allow participation from anywhereAllow participation from anywhere Let you interact with other users, Let you interact with other users,
virtual artifacts, and virtual artifacts, and software software agentsagents
Afford multi-user collaborations Afford multi-user collaborations and competitive playand competitive play
The Projects
The Virtual CellThe Virtual Cell
The Geology ExplorerThe Geology Explorer
Dollar BayDollar Bay
Like-a-Fish hook VillageLike-a-Fish hook Village
Digital Archive for ArchaeologyDigital Archive for Archaeology
OthersOthers
The Virtual Cell The Virtual Cell Rendered in VRML Rendered in VRML
(Virtual Reality Modeling Language) (Virtual Reality Modeling Language)
Users are assigned specific goalsUsers are assigned specific goalsFor example: Identify 5 different organellesFor example: Identify 5 different organelles
• Similar to Earth, but opposite the Sun
•Students “land” on Oit to undertake exploration
•Authentic Geoscience goals - e.g., to locate, identify, and report valuable minerals
Planet Oit
~50 places: desert, cutbank, cave, etc.
~100 different rocks and minerals
~15 field instruments: rock pick, acid bottle, magnet, etc.
~Software Tutors: agents for equipment, exploration, and deduction
Planet OitThe simulation
The Geology Explorer:The Geology Explorer:Assessment ProtocolAssessment Protocol
Pre-course Assessment:Pre-course Assessment:400+ students400+ students
Computer Literacy Assessment:Computer Literacy Assessment:(244 volunteers)(244 volunteers)
Divide by Computer Literacy Divide by Computer Literacy and Geology Lab Experienceand Geology Lab Experience
Geomagnetic Geomagnetic (Alternative)(Alternative) Group: Group:
(122 students)(122 students)
Geology Explorer Geology Explorer TreatmentTreatment Group: Group:
(122 students)(122 students)
Non-Participant Non-Participant Control Control Group:Group:
(150 students, approx.)(150 students, approx.)
CompletedCompleted(78 students)(78 students)
Non-Non-completedcompleted(44 students)(44 students)
CompletedCompleted(95 students)(95 students)
Non-Non-completedcompleted(27 students)(27 students)
Post-course Assessment:Post-course Assessment:368 students368 students
Example: Fall, 1998Example: Fall, 1998
Mean Post-Intervention Scenario Scores for 1998 Geology Explorer - NDSU Physical Geology Students
Grader Grader GraderGroup No. One Two ThreeAlternate 95 29.3a 27.0a 42.6aControl 195 25.1a 25.5a 44.5aPlanet Oit 78 40.5b 35.4b 53.4b
Within any column, any two means Within any column, any two means followed by the same letter are not followed by the same letter are not significantly different at P=0.05 using significantly different at P=0.05 using Duncan’s multiple range mean separation Duncan’s multiple range mean separation test. test.
Mean Post-Intervention Scenario Scores for the Virtual Cell:for the Virtual Cell:
1999 NDSU General Biology1999 NDSU General Biology
Module:Group No. Organelle ID Cellular Resp.Alternate 94 19.7b 13.7bControl 145 17.4a 10.6aVcell 93 22.7c 17.3c
Within any column, any two means Within any column, any two means followed by the same letter are not followed by the same letter are not significantly different at P=0.05 using the significantly different at P=0.05 using the LSD mean separation test. LSD mean separation test.