Literature DB >> 33552761

The RITE of Passage: Learning Styles and Residency In-Service Training Examination (RITE) Scores.

Brenda G Fahy1, Jean E Cibula2, Lou Ann Cooper3, Samsun Lampotang1, Nikolaus Gravenstein1, Terrie Vasilopoulos4.   

Abstract

Introduction The objective of the pilot study was to determine the association between learning preferences and improvement in the American Academy of Neurology Residency In-Service Training Examination (RITE) scores from postgraduate year 2 (PGY-2) to postgraduate year 3 (PGY-3) in neurology residents. Methods Neurology residents at the University of Florida were approached to participate, and their consent was obtained. VARK inventory, representing four modalities (visual, aural, read/write, kinesthetic) of learning preferences, was completed by participants. Participants could pick more than one modality. The number of responses in each sensory domain was recorded, with higher numbers indicating stronger preference. Residents' performance on the RITE was recorded for PGY-2 and PGY-3. Results Seventeen residents completed the VARK inventory and 16 had data for RITE. Residents demonstrated overall positive change in RITE from PGY-2 to PGY-3 (mean change = 6%; 95%CI: 4%, 9%). The median number of responses was highest for the kinesthetic domain (median = 7, range = 1-12), followed by visual (median = 6, range = 2-12), aural (median = 4, range = 1-10), and read/write (median = 4, range = 1-10). Among VARK domains, the number of responses in read/write had the strongest correlation with mean change in RITE performance from PGY-2 to PGY-3 (r = 0.45; 95%CI: -0.08, 0.78); residents in the high read/write group (number of response above median) had greater mean change in RITE performance (9%; 95%CI: 6%, 12%) while those in the low read/write group showed little to no increase in RITE from PGY-2 to PGY-3 (2%; 95%CI: -1%, 6%). Conclusions Higher VARK survey responses in the read/write domain were related to greater change in RITE scores from PGY-2 to PGY-3. These findings seem intuitively obvious considering the format of the RITE. These pilot data permit further investigation of individual resident learning preference and how it relates to test performance. By understanding a resident's learning style, both educators and the resident will have an awareness of areas that need to be improved to be successful, which may be via remedial curricula and self-study activities.
Copyright © 2021, Fahy et al.

Entities:  

Keywords:  curriculum; educational models; graduate medical education; learning; learning styles

Year:  2021        PMID: 33552761      PMCID: PMC7854323          DOI: 10.7759/cureus.12442

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


  10 in total

1.  The effect of surgical resident learning style preferences on American Board of Surgery In-training Examination scores.

Authors:  Roger H Kim; Timothy Gilbert; Kyle Ristig
Journal:  J Surg Educ       Date:  2015-01-31       Impact factor: 2.891

2.  Why resident duty hours regulations must address attending physicians' workload.

Authors:  Brian M Wong; Kevin Imrie
Journal:  Acad Med       Date:  2013-09       Impact factor: 6.893

3.  Do pediatric residents prefer interactive learning? Educational challenges in the duty hours era.

Authors:  David A Turner; Aditee P Narayan; Shari A Whicker; Jack Bookman; Kathleen A McGann
Journal:  Med Teach       Date:  2011-02-28       Impact factor: 3.650

4.  Learning styles of medical students change in relation to time.

Authors:  Erol Gurpinar; Hilal Bati; Cihat Tetik
Journal:  Adv Physiol Educ       Date:  2011-09       Impact factor: 2.288

5.  Learning style preferences of surgical residency applicants.

Authors:  Roger H Kim; Timothy Gilbert
Journal:  J Surg Res       Date:  2015-05-16       Impact factor: 2.192

6.  Learning preferences of surgery residents: a multi-institutional study.

Authors:  Roger H Kim; Rebecca K Viscusi; Ashley N Collier; Marie A Hunsinger; Mohsen M Shabahang; George M Fuhrman; James R Korndorffer
Journal:  Surgery       Date:  2018-02-13       Impact factor: 3.982

7.  Assessing pediatric senior residents' training in resuscitation: fund of knowledge, technical skills, and perception of confidence.

Authors:  F M Nadel; J M Lavelle; J A Fein; A P Giardino; J M Decker; D R Durbin
Journal:  Pediatr Emerg Care       Date:  2000-04       Impact factor: 1.454

8.  Learning styles and approaches to learning among medical undergraduates and postgraduates.

Authors:  Lasitha Samarakoon; Tharanga Fernando; Chaturaka Rodrigo
Journal:  BMC Med Educ       Date:  2013-03-25       Impact factor: 2.463

9.  Students awareness of learning styles and their perceptions to a mixed method approach for learning.

Authors:  Anumeha Bhagat; Rashmi Vyas; Tejinder Singh
Journal:  Int J Appl Basic Med Res       Date:  2015-08

Review 10.  The Modality-Specific Learning Style Hypothesis: A Mini-Review.

Authors:  Karoline Aslaksen; Håvard Lorås
Journal:  Front Psychol       Date:  2018-08-21
  10 in total
  1 in total

1.  Impact of Simulation on Critical Care Fellows' Electroencephalography Learning.

Authors:  Brenda G Fahy; Samsun Lampotang; Jean E Cibula; W Travis Johnson; Lou Ann Cooper; David Lizdas; Nikolaus Gravenstein; Terrie Vasilopoulos
Journal:  Cureus       Date:  2022-04-24
  1 in total

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