PubMed Health⌕ Search

PubMed · 15532362

Expert golf instructors' student-teacher interaction patterns.

Abstract

The purpose of this study was to identify the dominant instructional interaction patterns of expert golf instructors. Instructors (N = 22) were selected by the Ladies Professional Golf Association (LPGA) Teaching based on the following criteria: (a) 10 or more years of golf teaching experience, (b) LPGA certification, (c) awards received for the quality of their instruction, and (d) peer and student recognition for outstanding teaching. The instructors were videotaped teaching a 60-min lesson to a novice college-age woman with no previous golf experience. The tapes were then analyzed using both the Cheffers Adaptation of Flanders' Interaction Analysis System (CAFIAS) and a qualitative analysis. Based on the findings from descriptive statistics and correlation analyses of the CAFIAS data and qualitative data analysis, several trends were identified. First, the dominant instructional behavior of these teachers was providing information to the students using both explanations and demonstrations. Second, the prevailing instructional interaction pattern of the expert teachers included extensive explanations and demonstrations followed by directions. The student followed the directions by practicing skills and received praise for their achievements. Third, high rates of directions and praise from teachers prompted student practice. Fourth, engaging students in subject-related discussion was positively correlated with teachers' questions but negatively correlated with teachers' criticisms. Finally, teacher acceptance was positively correlated with student analytic behavior, while teachers' talk negatively correlated with students initiating discussions.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Paul Schempp, Bryan McCullick, Peter St Pierre, Sophie Woorons, JeongAe You, Betsy Clark. 2004. Expert golf instructors' student-teacher interaction patterns.. https://doi.org/10.1080/02701367.2004.10609134

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Rasch analysis of rank-ordered data.

Theoretical and practical aspects of several methods for the construction of linear measures from rank-ordered data are presented. The final partial-rankings of 356 professional golfers participating in 47 stroke-play tournaments are used for illustration. The methods include decomposing the rankings into independent paired comparisons without ties, into dependent paired comparisons without ties and into independent paired comparisons with ties. A further method, which is easier to implement, entails modeling each tournament as a partial-credit item in which the rank of each golfer is treated as the observation of a category on a partial-credit rating scale. For the golf data, the partial-credit method yields measures with greater face validity than the paired comparison methods. The methods are implemented with the computer programs FACETS and WINSTEPS.

Golf↗

The 15th hole.

Explore the source record for details and available documents.

Golf↗