Till sidans topp

Sidansvarig: Webbredaktion
Sidan uppdaterades: 2012-09-11 15:12

Tipsa en vän
Utskriftsversion

Effects of eye movement m… - Göteborgs universitet Till startsida
Webbkarta
Till innehåll Läs mer om hur kakor används på gu.se

Effects of eye movement modeling examples on adaptive expertise in medical image diagnosis

Artikel i vetenskaplig tidskrift
Författare A. Gegenfurtner
E. Lehtinen
H. Jarodzka
Roger Säljö
Publicerad i Computers & Education
Volym 113
Sidor 212-225
ISSN 0360-1315
Publiceringsår 2017
Publicerad vid Linnécentret for forskning om lärande (LinCS)
Institutionen för pedagogik, kommunikation och lärande
Sidor 212-225
Språk en
Länkar dx.doi.org/10.1016/j.compedu.2017.0...
Ämnesord Adaptive expertise, Eye movement modeling example (EMME), Mixed methods, Medical image, visual expertise, performance, acquisition, perspective, attention, domains, Computer Science, Education & Educational Research
Ämneskategorier Pedagogik

Sammanfattning

Research indicates that expert performance is domain specific and hardly transfers to novel tasks or domains. However, due to technological changes in dynamic work settings, experts sometimes need to adapt and transfer their skills to new task affordances. The present mixed method study investigates whether eye movement modeling examples (EMME) can promote adaptive expertise in medical image diagnosis. Performance, eye tracking, and think-aloud protocol data were obtained from nine medical experts and fourteen medical students. Participants interpreted dynamic visualizations before (baseline) and after (retention, transfer) viewing an expert model's eye movements. Findings indicate that studying eye movement modeling examples had positive effects on performance, task-relevant fixations, and the use of cognitive and metacognitive comprehension strategies. Effects were stronger for the retention than for the transfer task. Medical experts benefitted more from the modeling examples than did medical students. Directions for future research and implications for related domains are discussed. (C) 2017 Elsevier Ltd. All rights reserved.

Sidansvarig: Webbredaktion|Sidan uppdaterades: 2012-09-11
Dela:

På Göteborgs universitet använder vi kakor (cookies) för att webbplatsen ska fungera på ett bra sätt för dig. Genom att surfa vidare godkänner du att vi använder kakor.  Vad är kakor?