Using a Delphi Technique to Seek Consensus Regarding Definitions, Descriptions and Classification of Terms Related to Implicit and Explicit Forms of Motor Learning

Keywords

Motor learning, Delphi method, Context (archaeology), Knowledge translation, Computer science

References

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Cited by

• Designing robot-assisted neurorehabilitation strategies for people with both HIV and strokeWendy Li — 2018
• Key elements for, and indicators of, a successful transition: an international Delphi study.Joan-Carles Surı́s, Christina Akré — 2015
• Multidisciplinary Views on Applying Explicit and Implicit Motor Learning in Practice: An International SurveyMelanie Kleynen, Susy Braun, S.M.C. Rasquin — 2015
• SMART-ER: a Situation Model of Anticipated Response consequences in Tactical decisions in skill acquisition — Extended and RevisedMarkus Raab — 2015
• Facial Nerve Grading Instruments: Systematic Review of the Literature and Suggestion for UniformityAdel Fattah, A.D.R. Gurusinghe, Javiér Gavilán — 2015
• Development of Self-Management Indicators for Chronic Hepatitis B Patients on Antiviral Therapy: Results of a Chinese Delphi Panel SurveyLing-Na Kong, Ying Guo, Bo Qin — 2015
• International and Interdisciplinary Identification of Health Care Transition OutcomesCynthia D. Fair, Jessica Cuttance, Niraj Sharma — 2016
• Short-term balance training with computer-based feedback in children with cerebral palsy: A feasibility and pilot randomized trialShikha Saxena, Bhamini Krishna Rao, Senthil Kumaran D — 2017
• Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes: A Joint Statement by International Diabetes OrganizationsFrancesco Rubino, David M. Nathan, Robert H. Eckel — 2016
• Physiotherapists use a great variety of motor learning options in neurological rehabilitation, from which they choose through an iterative process: a retrospective think-aloud studyMelanie Kleynen, Albine Moser, Frederike A. Haarsma — 2017
• Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes: A Joint Statement by International Diabetes Organizations.Francesco Rubino, David M. Nathan, Robert H. Eckel — 2016
• Metabolic Surgery in the Treatment Algorithm for Type 2 Diabetes: a Joint Statement by International Diabetes Organizationson behalf of the Delegates of the 2nd Diabetes Surgery Summit, Francesco Rubino, David M. Nathan — 2016
• Is Implicit Motor Learning Preserved after Stroke? A Systematic Review with Meta-AnalysisElmar Kal, Marinus Winters, J. van der Kamp — 2016
• Improving students’ learning and performance in pre-clinical endodonticsMohamed El‐Kishawi — 2016
• Expert consensus document: Semantics in active surveillance for men with localized prostate cancer — results of a modified Delphi consensus procedureSophie Bruinsma, Monique J. Roobol, Peter R. Carroll — 2017
• Task Integration Facilitates MultitaskingRita F. de Oliveira, Markus Raab, Mathias Hegele — 2017
• Prevention of hamstring injuries in male soccer : Exercise programs and return to playNick van der Horst — 2017
• Return to play after hamstring injuries in football (soccer): a worldwide Delphi procedure regarding definition, medical criteria and decision-makingNick van der Horst, F. J. G. Backx, Edwin A. Goedhart — 2017
• Return to play na een m. adductor longus blessure bij voetballersL. Bisschops, S. Keltjens, D. Montfort — 2016
• Using the Delphi Technique to Explore Complex Concepts in Speech-Language Pathology: An Illustrative Example From Children's Social Communication.Kristen Izaryk, Elizabeth Skarakis‐Doyle — 2017

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