Visuospatial Ability & Geologic Mapping: Experts and Novices in the Field This work is supported by the National Science Foundation under Grants No. DRL-0815764.

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This material is based upon work supported by the National Science Foundation under Grant #XXXXXX. Any opinions, findings, and conclusions or recommendations.
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Visuospatial Ability & Geologic Mapping: Experts and Novices in the Field This work is supported by the National Science Foundation under Grants No. DRL (PI Petcovic) and DRL (PI Libarkin). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Heather Petcovic Kathleen Baker Caitlin Callahan Thank You: Participants, WMU-MSU Research Team, and Indiana University Geologic Field Station Joe Elkins Zach Hambrick Julie Libarkin Tara Rench Nicole LaDue Sheldon Turner

WHAT DO YOU SEE?

WHY STUDY EXPERT AND NOVICE GEOSCIENTISTS?

WHY STUDY MAPPING? Geologic mapping is a complex and cognitively demanding task. What is the role of visuospatial ability?

THE RESEARCH STUDY Five-year project in which N=67 novice (undergraduate) through expert (professional) geologists completed a suite of lab and field tasks in summer 2009 and ConstructTask or Measure ExpertiseDomain Experience Questionnaire (General and Mapping) Domain Content Knowledge Geoscience Concept Inventory (GCI+) (Libarkin & Anderson, 2005) Visuospatial Ability VSR - Paper Folding, Form Board, Space Relations (Ekstrom et al., 1976; Bennett et al., 1972) WMC - Matrix Span, Arrow Span (Hambrick & Oswald, 2005) PS - Pattern Comparison (Salthouse & Babcock, 1991) Field Problem- Solving Geologic Mapping Task Bedrock geologic map (scanned and digitized) GPS track during mapping (ArcGIS) Post-mapping Interview

Five-year project in which N=67 novice (undergraduate) through expert (professional) geologists completed a suite of lab and field tasks in summer 2009 and THE RESEARCH STUDY ConstructTask or Measure ExpertiseDomain Experience Questionnaire (General and Mapping) Domain Content Knowledge Geoscience Concept Inventory (GCI+) (Libarkin & Anderson, 2005) Visuospatial Ability VSR - Paper Folding, Form Board, Space Relations (Ekstrom et al., 1976; Bennett et al., 1972) WMC - Matrix Span, Arrow Span (Hambrick & Oswald, 2005) PS - Pattern Comparison (Salthouse & Babcock, 1991) Field Problem- Solving Geologic Mapping Task Bedrock geologic map (scanned and digitized) GPS track during mapping (ArcGIS) Post-mapping Interview

Five-year project in which N=67 novice (undergraduate) through expert (professional) geologists completed a suite of lab and field tasks in summer 2009 and THE RESEARCH STUDY ConstructTask or Measure ExpertiseDomain Experience Questionnaire (General and Mapping) Domain Content Knowledge Geoscience Concept Inventory (GCI+) (Libarkin & Anderson, 2005) Visuospatial Ability VSR - Paper Folding, Form Board, Space Relations (Ekstrom et al., 1976; Bennett et al., 1972) WMC - Matrix Span, Arrow Span (Hambrick & Oswald, 2005) PS - Pattern Comparison (Salthouse & Babcock, 1991) Field Problem- Solving Geologic Mapping Task Bedrock geologic map (scanned and digitized) GPS track during mapping (ArcGIS) Post-mapping Interview

THE BEDROCK MAPPING TASK METHODS Cohorts of 9-10 participants (2009=29; 2010=38) 54% male, mean 36.5 yrs, 55% professional experience Group guided introduction to rock types (4 major types) Individual mapping Unlimited time (5-7 hrs) Air photo and topo map Rocky Mountains (MT)

“SUCCESS” = MAP SCORE Participant mapDigitized map“Answer key” PARTICIPANT MAP ANALYSIS – TWO SCORES SURFACE ROCK DISTRIBUTION = ArcGIS accuracy of % of 1 m digitized participant pixels matching “key” GEOLOGIC STRUCTURE = presence and accuracy of major fold and fault in map area (rubric)

COGNITIVE DATA ANALYSIS Accuracy of rock distribution correlates positively with expertise, geologic knowledge, and visuospatial ability Hierarchical regression analysis to test for interaction STUDY 1: KEY FINDINGS FINDINGS At low knowledge (novice) visuospatial ability has a positive effect on accuracy of rock distribution At high knowledge (expert) visuospatial ability has little effect Do experts “see” the geology? Hambrick et al., 2012 Rock Distribution (%)

GPS TRACK ANALYSIS Principle Component Analysis Statistical correlation (Spearman’s & Pearson’s) *p<.05; **p<.01 STUDY 2: KEY FINDINGS Rock distribution Geologic structure Thorough- ness Geologic structure.55** Thorough- ness.46**.27* SpeedNC.36*-.53** -.35 Do experts “see” the geology? Baker et al., 2012 FINDINGS Visiting more of the field area produced a more accurate map Fast novices are less thorough and have poorer interpretations Fast experts had higher quality interpretations

STUDY 3: KEY FINDINGS MAP VS. MENTAL MODELS Most participants could articulate a better understanding of the geology than shown on their paper maps INTERVIEWER: Can you just give me a general overview of the map itself? … what did you draw? VACHOT: Okay, I mapped out according to the three rock unit types that … were identified for us in the walk-through. INTERVIEWER: If someone asked you what was going on in the subsurface, what could you say? VACHOT: … I’m trying to make sense three dimensionally, you know, … like a cross section.... And I would have thought that maybe there was some kind of a syncline going like this [gestures with hands striking parallel and dipping toward the center of the map area]. … But then underneath that a fault in uplift and the gneiss or the basement cutting through that. And so the rest of this syncline … would have been elevated and eroded away [uses hands to demonstrate a thrust/reverse fault uplifting the Precambrian]. And that’s kind of what I suspect may be the case here. VACHOT (NOVICE) Hand-drawn map

STUDY 3: KEY FINDINGS GEOLOGIC MENTAL MODEL Compile model from all data sources (final paper map, draft map, sketches, field notebook, interview) Re-score the geologic structural interpretation (same rubric) How does this relate to visuospatial ability? FINDINGS Experts report forming a model immediately to early in the task Novices form models during the task Geologic Structure Score

MODELS & VISUOSPATIAL ABILITY NEW ANALYSIS Statistical correlation (Spearman’s) *p<.05; **p<.01 Higher quality model correlates with: Understanding of rock distribution Understanding of geologic structure Geologic knowledge Novices (N=37) Experienced (N=30) Rock distribution 0.66**0.59** Geologic structure 0.75**0.82** Mapping expertise * Geologic knowledge 0.39*0.52* Spatial ability *-0.13 Distance covered * Distance in 1 st hour ** 1 Correlation was only found with form board. No correlation with visuospatial composite (r=0.19)

MODELS & VISUOSPATIAL ABILITY NEW ANALYSIS: Path Model Two factors: geoscience experience & spatial ability FINDINGS Both influence knowledge Experience and knowledge predicts mental model Spatial ability does not predict mental model Mental model predicts rock distribution Rock Dist

WHAT DOES THIS ALL MEAN? Summary: Visuospatial ability is important, BUT appears more important for novices Novices (lower geologic knowledge) rely on visuospatial ability to construct their understanding of rock distribution and structures in the field, during the task Experts (higher knowledge) generate immediate mental models and test hypotheses EDUCATIONAL IMPLICATIONS: Spatial ability may be important for geology students Train students to use multiple working hypotheses technique