tracking eye movements of students solving kinematics equations

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Tracking Eye Movements of Students Solving Kinematics Equations Nick Oderio August 1 st , 2013 KSU REU 2013-PER

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Tracking Eye Movements of Students Solving Kinematics Equations. Nick Oderio August 1 st , 2013 KSU REU 2013-PER. Theoretical Framework. The Multimedia Principle -people learn better from words and pictures than from words alone - PowerPoint PPT Presentation

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Tracking Eye Movements of Students Solving Kinematics EquationsNick OderioAugust 1st, 2013KSU REU 2013-PERTheoretical FrameworkThe Multimedia Principle-people learn better from words and pictures than from words alone

The Split-Attention Principle-people learn more deeply when words (written or narrated) and pictures are spatially and temporally integrated in a presentation.

The Modality Principle-people learn better when pictures are accompanied by narration than when they are accompanied by written text

Mayer 117-59Research Design

The motion of an object along a straight horizontal path is shown by the graphs below. Determine the velocity of the object at 10 seconds. 10 (0,0) 120t (s)v(t) (m/s)20 (0,0)t (s) vf10x(t) (m)4The motion of an object along a straight horizontal path is shown by the graphs below. Determine the velocity of the object at 10 seconds. x(t) (m) (0,0) 200t (s) 40 10v(t) (m/s)25 (0,0)t (s) vf 10Displacement is equal to the area under the (v-t) graph.Area under the (v-t) graph = Area of triangle + Area of rectangle Area = (base)(height) + (base)(height) = (10) (25 - vf ) + (10) (vf)Displacement, x = 200 m 40 m = 160 m from (x-t) graph.3) Equate the answer of (1) and (2) to get vf =7.0 m/s . The motion of an object along a straight horizontal path is shown by the graphs below. Determine the displacement of the object. 5t (s) (0,0)v(t) (m/s) (0,0)30t (s)a (t) (m/s2)510101050200vfFind area under the(a-t) graphArea = Area of Pink Rectangle + Area of Brown RectangleArea = 5(30)+5(10)Change in velocity, v = vf 50 m/sArea = 200 m/svf 50 m/s = 200 m/svf = 250 m/s Change in velocity from (v-t) graph=Area under the (a-t) graph

Eye Movement Data Eye Movement Data OutputLines in FileLines ReadStart Time (s)End Time (s)Recorded Time (s)# Fix FoundDwell Time (s)Avg Fix Duration (s)Avg Saccade Length (px)156193480511095813333.8710.254669236.256Area# Fix in AreaAvg Fix Duration (s)Dwell Time (s)% Dwell Time% Image DwellArea of AOI (px^2)% Total Area% of Image Space% Dwell/% Area% Dwell Image/% Image Space11260.25729432.41995.713110074547260.66671001.5776912380.29984211.39433.639435.146118026414.669924.18122.293091.453453400.2340259.36127.637228.87519041415.495925.54271.783511.13046490.2623332.3616.970567.28277252542.055183.387653.391712.1498530.2393330.7182.119812.21475180381.467942.419681.444070.915309Correctness Data AnalysisChi Squared TestShows whether or not there is a significant difference in students performance between any two problems

If p < 0.05 then the difference is significant

If the difference is significant, then we look at the Cramer v

Higher values for v mean a more significant change

Example: Pb(1-5)2 (1, 88) = 6.984, p = 0.016, v = 0.282

Correctness Data

**** = significant difference when compared to respective initial problemCorrectness Data

* = significant differenceFuture WorkCompletely analyze and interpret eye movement dataThere is improvement over time from the initial static problem

Integrate eye movement data with correctness dataMy Sincere Thanks To. . .Dr. Sanjay RebelloElise Agra (graduate student)Dr. Neelam Khan (visiting professor)Amy Rouinfar (graduate student)Dr. Kristan CorwinDr. Larry WeaverWork CitedMayer, R. E. The Cambridge Handbook of Multimedia Learning. New York, NY: Cambridge Univ Pr, 2005. 117-59. Print.