The report attributes to expert-novice comparisons that experts relate symptoms to inoperative system functions while novices focus on physically proximal components¶

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 1995 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Expert device representations are deep-structure models organized by system function, whereas novice models are superficial and organized by physical proximity of components. → Ellen P. Hall 1995

Evidence¶

Ellen P. Hall 1995¶

Ellen P. Hall, Sherrie P. Gott, Robert A. Pokorny. (1995). A Procedural Guide to Cognitive Task Analysis: The PARI Methodology. Armstrong Laboratory, Human Resources Directorate, Brooks AFB, Texas. AL/HR-TR-1995-0108. https://doi.org/10.21236/ada303654

q2 · i? · design · r2

The report summarizes a body of comparative studies of expert and novice technicians (citing Tenney & Kurland, Gitomer, Glaser et al., Means & Gott) on the depth and quality of system knowledge, stating "experts are able to relate symptoms to possible inoperative system functions." No effect sizes are printed.

"Whereas experts are able to relate symptoms to possible inoperative system functions, novices tend to relate symptoms to equipment components that are located in the immediate physical vicinity of the initial symptoms."

Discussion¶

Related Claims¶

• The report attributes to Clancey (1984) that GUIDON field-test students had difficulty understanding and remembering MYCIN's production rules because reasoning strategies and system knowledge were not represented
• The report attributes to Glaser et al. (1985) that skilled and less skilled avionics technicians generated plans equally often but differed in plan quality, with experts deploying domain-particularized strong methods — related
• Representation-alignment tension between expert externalization and novice comprehension — related
• The report attributes to Kieras and Bovair (1984) that device-model instruction improved procedure learning, retention, execution speed, and procedure simplification relative to rote learning — related
• Novices and experts differ in problem representation: novices segment the problem and use surface analogies, while experts apply general underlying principles — related
• Experts categorise problems by solution principles while novices categorise by surface features — related