View All Items
(1 - 2 of 2)
- Title
- EVALUATING THE EFFECTIVENESS OF THE PGA's PROFESSIONAL GOLF MANAGEMENT (PGM) PROGRAM.
- Creator
-
Smiley, David, Wang, Youcheng, Fjelstul, Jill, Hua, Nan, University of Central Florida
- Abstract / Description
-
This study explored the relationships between knowledge, skills, ability, self-efficacy, and experiential learning and performance expectations and satisfaction. The purpose of this study was threefold. First, the study attempted to understand the motivators for student motivation to recommend the program. Second, the study looked at the contribution of both intrinsic and extrinsic motivators for retention and positive word-of-mouth. Further, the research evaluated the relationship of the...
Show moreThis study explored the relationships between knowledge, skills, ability, self-efficacy, and experiential learning and performance expectations and satisfaction. The purpose of this study was threefold. First, the study attempted to understand the motivators for student motivation to recommend the program. Second, the study looked at the contribution of both intrinsic and extrinsic motivators for retention and positive word-of-mouth. Further, the research evaluated the relationship of the curriculum in influencing the student's performance and satisfaction. The study sample consisted of 676 undergraduate students attending one of six PGA Professional Golf management programs in the spring of 2011. The survey instrument was developed specifically for this study after an extensive literature review of higher education analysis, performance, satisfaction and word-of-mouth. The instrument was constructed in eight content areas: knowledge, skills and abilities (KSA); self-efficacy; experiential learning; performance; satisfaction, and word-of-mouth. The findings indicated that experiential learning and to a lesser degree ability made the strongest contribution to the student's performance and satisfaction. Focus of degree was a predictor of performance while not a predictor of satisfaction. Satisfaction and to a lesser degree performance were strong contributors to the student's word-of-mouth. Finally, self-efficacy was found to have little relationship to satisfaction or performance contrary to findings in previous research.
Show less - Date Issued
- 2012
- Identifier
- CFE0004443, ucf:49338
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0004443
- Title
- A MECHANICS-BASED APPROACH FOR PUTT DISTANCE OPTIMIZATION.
- Creator
-
Santiago-Martinez, Pascual, Gordon, Ali, University of Central Florida
- Abstract / Description
-
Quantifying the core mechanics of putting is imperative to developing a reliable model that predicts post-collision ball behavior. A preliminary model for the stroking motion of putting and putter-ball collision is developed alongside experiments, establishing an empirical model that supports the theory. The goal of the present study is to develop a correlation between the backstroke of a putt, or the pre-impact translation of the putter, and the post-impact displacement of the golf ball....
Show moreQuantifying the core mechanics of putting is imperative to developing a reliable model that predicts post-collision ball behavior. A preliminary model for the stroking motion of putting and putter-ball collision is developed alongside experiments, establishing an empirical model that supports the theory. The goal of the present study is to develop a correlation between the backstroke of a putt, or the pre-impact translation of the putter, and the post-impact displacement of the golf ball. This correlation is subsequently utilized to generate an algorithm that predicts the two-dimensional ball trajectory based on putt displacement and putting surface texture by means of finite element analysis. In generating a model that accurately describes the putting behavior, the principles of classical mechanics were utilized. As a result, the putt displacement was completely described as a function of backstroke and some environmental parameters, such as: friction, slope of the green, and the elasticity of the putter-ball collision. In support of the preliminary model, experimental data were gathered from golfers of all levels. The collected data demonstrated a linear correlation between backstroke and putt distance, with the environmental parameters factoring in as a constant value; moreover, the data showed that experienced golfers tend to have a constant acceleration through ball impact. Combining the empirical results with the trajectory prediction algorithm will deliver an accurate predictor of ball behavior that can be easily implemented by golfers under most practical applications. Putt distance to backstroke ratios were developed under a variety of conditions
Show less - Date Issued
- 2015
- Identifier
- CFH0004764, ucf:45340
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFH0004764
