The relative effectiveness of computer-based and traditional resources for education in anatomy

There is increasing use of computer–based resources to teach anatomy, although no study has compared computer‐based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer‐based module, (2) a static computer‐based...

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Published inAnatomical sciences education Vol. 6; no. 4; pp. 211 - 215
Main Authors Khot, Zaid, Quinlan, Kaitlyn, Norman, Geoffrey R., Wainman, Bruce
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.07.2013
Wiley-Blackwell
Wiley Subscription Services, Inc
Subjects
Online AccessGet full text
ISSN1935-9772
1935-9780
1935-9780
DOI10.1002/ase.1355

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Abstract There is increasing use of computer–based resources to teach anatomy, although no study has compared computer‐based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer‐based module, (2) a static computer‐based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer‐based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. Anat Sci Educ 6: 211–215. © 2013 American Association of Anatomists.
AbstractList There is increasing use of computer–based resources to teach anatomy, although no study has compared computer‐based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer‐based module, (2) a static computer‐based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer‐based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. Anat Sci Educ 6: 211–215. © 2013 American Association of Anatomists.
There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views.There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views.
There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. (Contains 2 tables and 1 figure.)
There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. Anat Sci Educ 6: 211-215. © 2013 American Association of Anatomists. [PUBLICATION ABSTRACT]
There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views.
Audience Higher Education
Postsecondary Education
Author Norman, Geoffrey R.
Wainman, Bruce
Khot, Zaid
Quinlan, Kaitlyn
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  givenname: Geoffrey R.
  surname: Norman
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  email: norman@mcmaster.ca
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  fullname: Wainman, Bruce
  organization: Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, Ontario, Hamilton, Canada
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Issue 4
Keywords computer-based resources
computer-based education
anatomical models
virtual reality; mental rotation test
gross anatomy education
Language English
License http://onlinelibrary.wiley.com/termsAndConditions#vor
2013 American Association of Anatomists.
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PublicationDate July/August 2013
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  year: 2013
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PublicationTitle Anatomical sciences education
PublicationTitleAlternate American Association of Anatomists
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Publisher Blackwell Publishing Ltd
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References Pandey P, Zimitat C. 2006. Medical students' learning of anatomy: Memorisation, understanding and visualization. Med Educ 41:7-14.
Garg AX, Norman GR, Eva KW, Spero L, Sharan S. 2002. Is there any real virtue of virtual reality?: The minor role of multiple orientations in learning anatomy from computers. Acad Med 77:S97-S99.
DeLeeuw KE, Mayer RE. 2008. A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load. J Educ Psychol 100:223-234.
McNulty JA, Sonntag B, Sinacore JM. 2010. Evaluation of computer-aided instruction in a gross anatomy course: A six-year study. Anat Sci Educ 2:2-8.
Smego RA Jr, Herning TA, Davis L, Hossain W, Al-Khusaiby SM. 2009. A personal computer-based undergraduate medical school curriculum using SOLE. Teach Learn Med 21:38-44.
Tang L, Chung MS, Liu Q, Shin DS. 2010. Advanced features of whole body sectioned images: Virtual Chinese Human. Clin Anat 23:523-529.
Kinnison T, Forrest ND, Frean SP, Baillie S. 2009. Teaching bovine abdominal anatomy: Use of a haptic simulator. Anat Sci Educ 2:280-285.
Petersson H, Sinkvist D, Wang C, Smedby Ö. 2009. Web-based interactive 3D visualization as a tool for improved anatomy learning. Anat Sci Educ 2:61-68.
Masters MS, Sanders B. 1993. Is the gender difference in mental rotation disappearing? Behav Genet 23:337-341.
Trelease RB. 2008. Diffusion of innovations: Smartphones and wireless anatomy learning resources. Anat Sci Educ 1:233-239.
Levinson AJ, Weaver B, Garside S, McGinn H, Norman GR. 2007. Virtual reality and brain anatomy: A randomized trial of e-learning instructional designs. Med Educ 41:495-501.
Garg AX, Norman G, Spero L. 2001. How medical students learn spatial anatomy. Lancet 357:363-364.
Sugand K, Abrahams P, Khurana A. 2010. The anatomy of anatomy: A review for its modernization. Anat Sci Educ 3:83-93.
Cook DA, Hatala R, Brydges R, Zendejas B, Szostek JH, Wang AT, Erwin PJ, Hamstra SJ. 2011. Technology-enhanced simulation for health professions education: A systematic review and meta-analysis. JAMA 306:978-988.
Heylings DJ. 2002. Anatomy 1999-2000: The curriculum, who teaches it and how? Med Educ 36:702-710.
Cook DA, Erwin PJ, Triola MM. 2010. Computerized virtual patients in health professions education: A systematic review and meta-analysis. Acad Med 85:1589-1602.
Bulthoff HH, Edelman SY, Tarr MJ. 1995. How are three-dimensional objects represented in the brain? Cereb Cortex 3:247-260.
Shaffer K. 2004. Teaching anatomy in the digital world. N Engl J Med 351:1279-1281.
Lufler RS, Zumwalt AC, Romney CA, Hoagland TM. 2012. Effect of visual-spatial ability on medical students' performance in a gross anatomy course. Anat Sci Educ 5:3-9.
Tam MD, Hart AR, Williams S, Heylings D, Leinster S. 2009. Is learning anatomy facilitated by computer-aided learning? A review of the literature. Med Teach 31:e393-e396.
Vandenburg SG, Kuse AR. 1978. Mental rotations: A group test of three-dimensional spatial visualizations. Percept Mot Skills 47:599-604.
Preece D, Williams SB, Lam R, Weller R. 2013. "Let's get physical": Advantages of a physical model over 3D computer models and textbooks in learning imaging anatomy. Anat Sci Educ 6:216-224.
Nguyen N, Wilson TD 2009. A head in virtual reality: Development of a dynamic head and neck model. Anat Sci Educ 2:294-301.
McLachlan JC, Bligh J, Bradley P, Searle J. 2004. Teaching anatomy without cadavers. Med Educ 38:418-424.
Peplow PV. 1998. Attitudes and examination performance of female and male medical students in an active, case-based learning programme in anatomy. Med Teach 20:349-355.
Stull AT, Hegarty M, Mayer RE. 2009. Getting a handle on learning anatomy with interactive three-dimensional graphics. J Educ Psychol 101:803-816.
Cook DA, Levinson AJ, Garside S, Dupras DM, Erwin PJ, Montori VM. 2008. Internet-based learning in the health professions: A meta-analysis. JAMA 300:1181-1196.
Rochford K. 1985. Special learning disabilities and underachievement among university anatomy students. Med Educ 19:13-26.
van Merriënboer JJ, Sweller J. 2010. Cognitive load theory in health professional education: Design principles and strategies. Med Educ 44:85-93.
Guillot A, Champely S, Batier C, Thiriet P, Collet C. 2007. Relationship between spatial abilities, mental rotation and functional anatomy learning. Adv Health Sci Educ Theory Pract 12:491-507.
Appaji AC, Kulkarni R, Poojar A, Vinayagam K. 2010. Teaching anatomy with digital self-learning modules. Med Educ 44:525-526.
Garg A, Norman GR, Spero L, Maheshwari P. 1999. Do virtual computer models hinder anatomy learning? Acad Med 74:S87-S89.
Peters M. 2005. Sex differences and the factor of time in solving Vandenberg and Kuse mental rotation problems. Brain Cognit 57:176-184.
Winkelmann A. 2007. Anatomical dissection as a teaching method in medical school: A review of the evidence. Med Educ 41:15-22.
Hoyek N, Collet C, Rastello O, Fargier P, Thiriet P, Guillot A. 2009. Enhancement of mental rotation abilities and its effect on anatomy learning. Teach Learn Med 21:201-206.
Albanese M. 2010. The gross anatomy laboratory: A prototype for simulation-based medical education. Med Educ 44:7-9.
Peters M, Manning JT, Reimers S. 2007. The effects of sex, sexual orientation, and digit ratio (2D:4D) on mental rotation performance. Arch Sex Behav 36:251-260.
2002; 36
1993; 23
2009; 21
2002; 77
2008; 300
2008; 1
2008; 100
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2007; 12
1998; 20
2013; 6
2010; 85
2007; 36
1985; 19
2010; 23
2010; 44
2004; 351
2006; 41
2011; 306
2009; 31
2004; 38
2009; 101
1999; 74
1978; 47
2007; 41
2010; 3
2009; 2
2010; 2
2012; 5
2001; 357
2005; 57
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23825081 - Anat Sci Educ. 2013 Jul-Aug;6(4):209-10
References_xml – reference: Rochford K. 1985. Special learning disabilities and underachievement among university anatomy students. Med Educ 19:13-26.
– reference: Petersson H, Sinkvist D, Wang C, Smedby Ö. 2009. Web-based interactive 3D visualization as a tool for improved anatomy learning. Anat Sci Educ 2:61-68.
– reference: Cook DA, Hatala R, Brydges R, Zendejas B, Szostek JH, Wang AT, Erwin PJ, Hamstra SJ. 2011. Technology-enhanced simulation for health professions education: A systematic review and meta-analysis. JAMA 306:978-988.
– reference: Peplow PV. 1998. Attitudes and examination performance of female and male medical students in an active, case-based learning programme in anatomy. Med Teach 20:349-355.
– reference: Cook DA, Erwin PJ, Triola MM. 2010. Computerized virtual patients in health professions education: A systematic review and meta-analysis. Acad Med 85:1589-1602.
– reference: Tang L, Chung MS, Liu Q, Shin DS. 2010. Advanced features of whole body sectioned images: Virtual Chinese Human. Clin Anat 23:523-529.
– reference: Trelease RB. 2008. Diffusion of innovations: Smartphones and wireless anatomy learning resources. Anat Sci Educ 1:233-239.
– reference: Peters M. 2005. Sex differences and the factor of time in solving Vandenberg and Kuse mental rotation problems. Brain Cognit 57:176-184.
– reference: Preece D, Williams SB, Lam R, Weller R. 2013. "Let's get physical": Advantages of a physical model over 3D computer models and textbooks in learning imaging anatomy. Anat Sci Educ 6:216-224.
– reference: DeLeeuw KE, Mayer RE. 2008. A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load. J Educ Psychol 100:223-234.
– reference: Garg AX, Norman GR, Eva KW, Spero L, Sharan S. 2002. Is there any real virtue of virtual reality?: The minor role of multiple orientations in learning anatomy from computers. Acad Med 77:S97-S99.
– reference: Garg AX, Norman G, Spero L. 2001. How medical students learn spatial anatomy. Lancet 357:363-364.
– reference: Shaffer K. 2004. Teaching anatomy in the digital world. N Engl J Med 351:1279-1281.
– reference: McLachlan JC, Bligh J, Bradley P, Searle J. 2004. Teaching anatomy without cadavers. Med Educ 38:418-424.
– reference: Kinnison T, Forrest ND, Frean SP, Baillie S. 2009. Teaching bovine abdominal anatomy: Use of a haptic simulator. Anat Sci Educ 2:280-285.
– reference: van Merriënboer JJ, Sweller J. 2010. Cognitive load theory in health professional education: Design principles and strategies. Med Educ 44:85-93.
– reference: Hoyek N, Collet C, Rastello O, Fargier P, Thiriet P, Guillot A. 2009. Enhancement of mental rotation abilities and its effect on anatomy learning. Teach Learn Med 21:201-206.
– reference: Masters MS, Sanders B. 1993. Is the gender difference in mental rotation disappearing? Behav Genet 23:337-341.
– reference: Guillot A, Champely S, Batier C, Thiriet P, Collet C. 2007. Relationship between spatial abilities, mental rotation and functional anatomy learning. Adv Health Sci Educ Theory Pract 12:491-507.
– reference: Lufler RS, Zumwalt AC, Romney CA, Hoagland TM. 2012. Effect of visual-spatial ability on medical students' performance in a gross anatomy course. Anat Sci Educ 5:3-9.
– reference: Albanese M. 2010. The gross anatomy laboratory: A prototype for simulation-based medical education. Med Educ 44:7-9.
– reference: Vandenburg SG, Kuse AR. 1978. Mental rotations: A group test of three-dimensional spatial visualizations. Percept Mot Skills 47:599-604.
– reference: Heylings DJ. 2002. Anatomy 1999-2000: The curriculum, who teaches it and how? Med Educ 36:702-710.
– reference: Pandey P, Zimitat C. 2006. Medical students' learning of anatomy: Memorisation, understanding and visualization. Med Educ 41:7-14.
– reference: Winkelmann A. 2007. Anatomical dissection as a teaching method in medical school: A review of the evidence. Med Educ 41:15-22.
– reference: Levinson AJ, Weaver B, Garside S, McGinn H, Norman GR. 2007. Virtual reality and brain anatomy: A randomized trial of e-learning instructional designs. Med Educ 41:495-501.
– reference: Appaji AC, Kulkarni R, Poojar A, Vinayagam K. 2010. Teaching anatomy with digital self-learning modules. Med Educ 44:525-526.
– reference: Smego RA Jr, Herning TA, Davis L, Hossain W, Al-Khusaiby SM. 2009. A personal computer-based undergraduate medical school curriculum using SOLE. Teach Learn Med 21:38-44.
– reference: Bulthoff HH, Edelman SY, Tarr MJ. 1995. How are three-dimensional objects represented in the brain? Cereb Cortex 3:247-260.
– reference: Garg A, Norman GR, Spero L, Maheshwari P. 1999. Do virtual computer models hinder anatomy learning? Acad Med 74:S87-S89.
– reference: Tam MD, Hart AR, Williams S, Heylings D, Leinster S. 2009. Is learning anatomy facilitated by computer-aided learning? A review of the literature. Med Teach 31:e393-e396.
– reference: Sugand K, Abrahams P, Khurana A. 2010. The anatomy of anatomy: A review for its modernization. Anat Sci Educ 3:83-93.
– reference: Nguyen N, Wilson TD 2009. A head in virtual reality: Development of a dynamic head and neck model. Anat Sci Educ 2:294-301.
– reference: Peters M, Manning JT, Reimers S. 2007. The effects of sex, sexual orientation, and digit ratio (2D:4D) on mental rotation performance. Arch Sex Behav 36:251-260.
– reference: Stull AT, Hegarty M, Mayer RE. 2009. Getting a handle on learning anatomy with interactive three-dimensional graphics. J Educ Psychol 101:803-816.
– reference: Cook DA, Levinson AJ, Garside S, Dupras DM, Erwin PJ, Montori VM. 2008. Internet-based learning in the health professions: A meta-analysis. JAMA 300:1181-1196.
– reference: McNulty JA, Sonntag B, Sinacore JM. 2010. Evaluation of computer-aided instruction in a gross anatomy course: A six-year study. Anat Sci Educ 2:2-8.
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  article-title: Virtual reality and brain anatomy: A randomized trial of e‐learning instructional designs
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  article-title: A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load
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  year: 2010
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  article-title: Teaching anatomy with digital self‐learning modules
  publication-title: Med Educ
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  article-title: Teaching bovine abdominal anatomy: Use of a haptic simulator
  publication-title: Anat Sci Educ
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  year: 2009
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  article-title: A head in virtual reality: Development of a dynamic head and neck model
  publication-title: Anat Sci Educ
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  article-title: Is there any real virtue of virtual reality?: The minor role of multiple orientations in learning anatomy from computers
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  doi: 10.1097/00001888-199910000-00049
– reference: 23825081 - Anat Sci Educ. 2013 Jul-Aug;6(4):209-10
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Snippet There is increasing use of computer–based resources to teach anatomy, although no study has compared computer‐based learning to traditional. In this study, we...
There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we...
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StartPage 211
SubjectTerms Adolescent
Analysis of Variance
anatomical models
Anatomy
Anatomy - education
Computer Graphics
Computer Simulation
Computer Uses in Education
Computer-Assisted Instruction
computer-based education
computer-based resources
Curriculum
Educational Measurement
Educational Resources
Electronic Learning
Female
Foreign Countries
Gender Differences
gross anatomy education
Humans
Instructional Effectiveness
Learning
Male
mental rotation test
Models, Anatomic
Ontario
Pelvis - anatomy & histology
Sex Factors
Spatial Ability
Teaching - methods
Time Factors
Undergraduate Students
User-Computer Interface
Vandenberg Mental Rotations Test
virtual reality
virtual reality; mental rotation test
Visual Aids
Young Adult
Title The relative effectiveness of computer-based and traditional resources for education in anatomy
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https://www.ncbi.nlm.nih.gov/pubmed/23509000
https://www.proquest.com/docview/1373717733
https://www.proquest.com/docview/1398423452
Volume 6
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