Instruction with 3D computer generated anatomy

Research objectives. 1) To create an original and useful software application; 2) to investigate the utility of dyna-linking for teaching upper limb anatomy. Dyna-linking is an arrangement whereby interaction with one representation automatically drives the behaviour of another representation. Metho...

Full description

Bibliographic Details
Main Author: Brenton, Harry
Other Authors: Darzi, Ara ; Fernando, Bello ; Kneebone, Roger
Published: Imperial College London 2011
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540678
id ndltd-bl.uk-oai-ethos.bl.uk-540678
record_format oai_dc
spelling ndltd-bl.uk-oai-ethos.bl.uk-5406782017-08-30T03:17:23ZInstruction with 3D computer generated anatomyBrenton, HarryDarzi, Ara ; Fernando, Bello ; Kneebone, Roger2011Research objectives. 1) To create an original and useful software application; 2) to investigate the utility of dyna-linking for teaching upper limb anatomy. Dyna-linking is an arrangement whereby interaction with one representation automatically drives the behaviour of another representation. Method. An iterative user-centred software development methodology was used to build, test and refine successive prototypes of an upper limb software tutorial. A randomised trial then tested the null hypothesis: There will be no significant difference in learning outcomes between participants using dyna-linked 2D and 3D representations of the upper limb and those using non dyna-linked representations. Data was analysed in SPSS using factorial analysis of variance (ANOVA). Results and analysis. The study failed to reject the null hypothesis as there was no signi cant di fference between experimental conditions. Post-hoc analysis revealed that participants with low prior knowledge performed significantly better (p = 0.036) without dyna-linking (mean gain = 7.45) than with dyna-linking (mean gain = 4.58). Participants with high prior knowledge performed equally well with or without dyna-linking. These findings reveal an aptitude by treatment interaction (ATI) whereby the effectiveness of dyna-linking varies according to learner ability. On average, participants using the non dyna-linked system spent 3 minutes and 4 seconds longer studying the tutorial. Participants using the non dyna-linked system clicked 30% more on the representations. Dyna-linking had a high perceived value in questionnaire surveys (n=48) and a focus group (n=7). Conclusion. Dyna-linking has a high perceived value but may actually over-automate learning by prematurely giving novice learners a fully worked solution. Further research is required to confirm if this finding is repeated in other domains, with different learners and more sophisticated implementations of dyna-linking.610.21Imperial College Londonhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540678http://hdl.handle.net/10044/1/8964Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 610.21
spellingShingle 610.21
Brenton, Harry
Instruction with 3D computer generated anatomy
description Research objectives. 1) To create an original and useful software application; 2) to investigate the utility of dyna-linking for teaching upper limb anatomy. Dyna-linking is an arrangement whereby interaction with one representation automatically drives the behaviour of another representation. Method. An iterative user-centred software development methodology was used to build, test and refine successive prototypes of an upper limb software tutorial. A randomised trial then tested the null hypothesis: There will be no significant difference in learning outcomes between participants using dyna-linked 2D and 3D representations of the upper limb and those using non dyna-linked representations. Data was analysed in SPSS using factorial analysis of variance (ANOVA). Results and analysis. The study failed to reject the null hypothesis as there was no signi cant di fference between experimental conditions. Post-hoc analysis revealed that participants with low prior knowledge performed significantly better (p = 0.036) without dyna-linking (mean gain = 7.45) than with dyna-linking (mean gain = 4.58). Participants with high prior knowledge performed equally well with or without dyna-linking. These findings reveal an aptitude by treatment interaction (ATI) whereby the effectiveness of dyna-linking varies according to learner ability. On average, participants using the non dyna-linked system spent 3 minutes and 4 seconds longer studying the tutorial. Participants using the non dyna-linked system clicked 30% more on the representations. Dyna-linking had a high perceived value in questionnaire surveys (n=48) and a focus group (n=7). Conclusion. Dyna-linking has a high perceived value but may actually over-automate learning by prematurely giving novice learners a fully worked solution. Further research is required to confirm if this finding is repeated in other domains, with different learners and more sophisticated implementations of dyna-linking.
author2 Darzi, Ara ; Fernando, Bello ; Kneebone, Roger
author_facet Darzi, Ara ; Fernando, Bello ; Kneebone, Roger
Brenton, Harry
author Brenton, Harry
author_sort Brenton, Harry
title Instruction with 3D computer generated anatomy
title_short Instruction with 3D computer generated anatomy
title_full Instruction with 3D computer generated anatomy
title_fullStr Instruction with 3D computer generated anatomy
title_full_unstemmed Instruction with 3D computer generated anatomy
title_sort instruction with 3d computer generated anatomy
publisher Imperial College London
publishDate 2011
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540678
work_keys_str_mv AT brentonharry instructionwith3dcomputergeneratedanatomy
_version_ 1718521560422154240