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Integrating motion analysis into smart coaching to improve physical literacy and movement quality in novice athletes
Journal of Coaching and Sports Science · Vol. 5 No. 3 (2026)
ISSN 2963-1483, 2963-1459
Published 2026-09-15
Publisher CV. FOUNDAE
Language eng
Abstract
Background: Markerless motion analysis can enrich coaching feedback with objective movement information, but evidence linking it to both physical literacy and functional movement outcomes in novice athletes remains limited. Aims: This study examined whether an eight-week Smart Coaching program supported by markerless motion analysis was associated with greater short-term change than conventional coaching. Methods: A nonrandomized quasi-experimental pretest-posttest control-group design involved 60 novice athletes aged 12-15 years (30 per group). Both groups trained three times weekly for eight weeks. Physical literacy was assessed with an adapted CAPL-2 composite and movement quality with the Functional Movement Screen (FMS). Separate 2 × 2 mixed ANOVAs tested Time × Group effects. Results: Smart Coaching increased CAPL-2 scores from 55.03 ± 6.69 to 73.64 ± 6.51 and FMS scores from 11.37 ± 1.92 to 16.60 ± 1.54. Corresponding gains were 18.61 and 5.23 points, compared with 7.64 and 1.43 points under Conventional Coaching. Time × Group interactions were significant for physical literacy, F(1, 58) = 48.31, p <.001, partial η² =.454, and FMS, F(1, 58) = 77.20, p <.001, partial η² =.571. Between-group differences in change were 10.97 points (95% CI 7.81-14.13) and 3.80 points (95% CI 2.93-4.67), respectively. Conclusion: In this single-site nonrandomized study, Smart Coaching with markerless motion analysis was associated with larger short-term improvements in both outcomes. Randomized and longitudinal replication is warranted.
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Universitas Islam Negeri Imam Bonjol Padang Affiliation unknown
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Metadata source: OAI-PMH (metadata jurnal) https://journal.foundae.com/index.php/jcss/oai, first harvested 9 Nov 2026, last seen 9 Nov 2026.
Original metadata (oai_dc)
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<dc:title xml:lang="en">Integrating motion analysis into smart coaching to improve physical literacy and movement quality in novice athletes</dc:title>
<dc:creator xml:lang="en">Dewi, Rahma</dc:creator>
<dc:creator xml:lang="en">Nusri, Ardi</dc:creator>
<dc:creator xml:lang="en">Faridah, Eva</dc:creator>
<dc:creator xml:lang="en">Pane, Bessy Sitorus</dc:creator>
<dc:creator xml:lang="en">Destya, Muhammad Reza</dc:creator>
<dc:subject xml:lang="en">Augmented feedback</dc:subject>
<dc:subject xml:lang="en">Markerless motion analysis</dc:subject>
<dc:subject xml:lang="en">Movement quality</dc:subject>
<dc:subject xml:lang="en">Physical literacy</dc:subject>
<dc:subject xml:lang="en">Smart coaching</dc:subject>
<dc:description xml:lang="en">Background: Markerless motion analysis can enrich coaching feedback with objective movement information, but evidence linking it to both physical literacy and functional movement outcomes in novice athletes remains limited.
Aims: This study examined whether an eight-week Smart Coaching program supported by markerless motion analysis was associated with greater short-term change than conventional coaching.
Methods: A nonrandomized quasi-experimental pretest-posttest control-group design involved 60 novice athletes aged 12-15 years (30 per group). Both groups trained three times weekly for eight weeks. Physical literacy was assessed with an adapted CAPL-2 composite and movement quality with the Functional Movement Screen (FMS). Separate 2 × 2 mixed ANOVAs tested Time × Group effects.
Results: Smart Coaching increased CAPL-2 scores from 55.03 ± 6.69 to 73.64 ± 6.51 and FMS scores from 11.37 ± 1.92 to 16.60 ± 1.54. Corresponding gains were 18.61 and 5.23 points, compared with 7.64 and 1.43 points under Conventional Coaching. Time × Group interactions were significant for physical literacy, F(1, 58) = 48.31, p &lt; .001, partial η² = .454, and FMS, F(1, 58) = 77.20, p &lt; .001, partial η² = .571. Between-group differences in change were 10.97 points (95% CI 7.81-14.13) and 3.80 points (95% CI 2.93-4.67), respectively.
Conclusion: In this single-site nonrandomized study, Smart Coaching with markerless motion analysis was associated with larger short-term improvements in both outcomes. Randomized and longitudinal replication is warranted.</dc:description>
<dc:publisher xml:lang="en">CV. FOUNDAE</dc:publisher>
<dc:date>2026-09-15</dc:date>
<dc:type>info:eu-repo/semantics/article</dc:type>
<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
<dc:format>application/pdf</dc:format>
<dc:identifier>https://journal.foundae.com/index.php/jcss/article/view/1468</dc:identifier>
<dc:identifier>10.58524/jcss.v5i3.1468</dc:identifier>
<dc:source xml:lang="en">Journal of Coaching and Sports Science; Vol. 5 No. 3 (2026): Journal of Coaching and Sports Science</dc:source>
<dc:source>2963-1483</dc:source>
<dc:source>2963-1459</dc:source>
<dc:language>eng</dc:language>
<dc:relation>https://journal.foundae.com/index.php/jcss/article/view/1468/784</dc:relation>
<dc:rights xml:lang="en">Copyright (c) 2026 Rahma Dewi, Ardi Nusri, Eva Faridah, Bessy Sitorus Pane, Muhammad Reza Destya</dc:rights>
<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>
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APA 7
Dewi, R., Nusri, A., Faridah, E., Pane, B. S., & Destya, M. R. (2026). Integrating motion analysis into smart coaching to improve physical literacy and movement quality in novice athletes. Journal of Coaching and Sports Science, 5(3). https://doi.org/10.58524/jcss.v5i3.1468
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IEEE
R. Dewi, A. Nusri, E. Faridah, B. S. Pane, and M. R. Destya, “Integrating motion analysis into smart coaching to improve physical literacy and movement quality in novice athletes,” Journal of Coaching and Sports Science, vol. 5, no. 3, 2026, doi: 10.58524/jcss.v5i3.1468.
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