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The Effectiveness of a Student‐Centered, Experiential Learning Curriculum on Musculoskeletal Anatomy of the Lower Limb Using Yoga Asanas

2018· article· en· W3177312897 on OpenAlexaff
Marie‐Helene He, Michelle L. Zec, Danielle C. Bentley, Wilma M. Hopman, Stephen C. Pang

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsKingston Health Sciences CentreKingston General HospitalUniversity of TorontoQueen's University
Fundersnot available
KeywordsExperiential learningCurriculumFlexibility (engineering)PsychologyPhysical educationSession (web analytics)Medical educationMedicinePedagogyComputer science

Abstract

fetched live from OpenAlex

Background and purpose Traditional human anatomy pedagogy has been experiencing paradigm shifts over the years as curricula evolve to better engage students with student‐centered, experiential learning. Today, these conceptual strategies are integrated into Dance Technique Education, as a way to increase dancers' knowledge and understanding of how to use their own bodies. The same active learning approach has a future in applications to other physical activities including yoga practice. Using the three representations (Iconic, Symbolic, and Enactive) of curriculum design from Bruner's Theory and Kolb's two‐fold Experiential Learning Theory, the primary purpose of this study was to fashion a new teaching curriculum dedicated to the learning and understanding of the anatomy of the lower limb. The secondary purpose was to document and assess improvements in participants' Range of Motion (ROM), flexibility, strength, and balance in the lower limbs post completion of the experiential learning curriculum. Method Following literature reviews on the successful impact of Active and Experiential Learning, 17 experimental participants were recruited to participate in a two‐hour, lower‐limb musculoskeletal anatomy learning session using yoga asanas and inspired by Bruner's three Representations. In contrast, 17 control participants were recruited to participate in yoga sessions lacking anatomical instruction. All participants were assessed on anatomical knowledge retention, ROM, flexibility, strength, and balance performance over a two‐month time period. Participants attended two follow‐ups sessions where the researcher documented changes in lower limb mobility. Participants' qualitative feedbacks were used to study the overall impact of a learner‐centered and experiential learning experience. Results Based on participant feedback and documented results, the Experiential Learning program was well received, effective in teaching anatomical concepts, and notably increased participants' ROM, flexibility, and strength. Experimental participants outperformed control participants in knowledge retention and overall improvement in lower limb mobility over two months. Discussion and Conclusion Bruner's theory on curriculum design and Kolb's theory on experiential learning proved effective when implemented into a two‐hour anatomy‐yoga learning session. The positive outcomes yielded from the two‐hour learning session and the two follow‐ups sessions over the span of two months holds promise for this curriculum's future application using any movement‐based practice. Future work should focus on the development of anatomical experiential learning curricula to compliment traditional didactic teaching approaches. Support or Funding Information Queen's University This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.344
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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