Course design in sport management education: Addressing students' perspectives through conjoint methodology

Won, Doyeon; Bravo, Gonzalo

doi:10.3794/johlste.82.221

Cited by 10 publications

(4 citation statements)

References 33 publications

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“…Three dimensions of interest were defined: e-learning technology, teaching method and knowledge assessment. They were chosen by considering previous research (Katz, 2002;Ferguson and DeFelice, 2010;Won and Bravo, 2009) and authors' own experience in teaching in e-learning environments.…”

Section: Research Frameworkmentioning

confidence: 99%

“…Conjoint analysis has been successfully applied in the education industry for many years to reveal students' preferences for different aspects of education (Tashchian and Freiden, 1983;Soutar and Turner, 2002;Sohn and Ju, 2010;Taylor, Humphreys, Singley, and Hunter, 2004;Won and Bravo, 2009;Kuzmanovic, Savic, Popovic and Martic, 2013;Azarcon, Gallardo, Anacin and Velasco, 2014;Zwarts, Vanthournout, Gijbels and Van den Bossche, 2015;Popović, Vagić, Kuzmanović and Anđelković Labrović, 2016;Walsh and Cullinan, 2017;Carey et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Designing E-Learning Environment Based on Student Preferences: Conjoint Analysis Approach

Kuzmanovic

Andjelković-Labrović

Nikodijević

2019

IJCRSEE

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The aim of this paper was to determine students’ preferences towards e-learning environment in order to select and design its components that suit the needs of student’s best. The research was implemented using conjoint analysis. Three dimensions of interest were considered: e-learning technology, teaching method and knowledge assessment and the results show that knowledge assessment is the most important e-learning attribute for both traditional and online students. Adding into consideration the teaching method as well, further analysis showed that students can be profiled in two segments: oriented on results or process, which can be used at the beginning of studies to adjust e-learning environment. Research findings emphasized student preferences as essential for designing e-learning system, while student satisfaction turned out to be a key factor determining their persistence for studying in e-learning environment. Finally, recommendations for improvement of existing e-learning system were given.

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Section: Research Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Designing E-Learning Environment Based on Student Preferences: Conjoint Analysis Approach

Kuzmanovic

Andjelković-Labrović

Nikodijević

2019

IJCRSEE

View full text Add to dashboard Cite

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“…Value relative importance stands for relative importance of one attribute to the other ones. Won and Bravo (2009) conducted research in course design for sport management with the objectives to gain insight of students in choosing a course programs and designing a conjoint model that could be applied in decision model in the context of sport management course. They argued in their study that students choose courses that meet their needs the most.…”

Section: Theory On Consumer Preferences and Conjoint Analysismentioning

confidence: 99%

Identifying hotel management study program most enhance attributes for international tourism and business institute using conjoint analysis in pandemic era of covid 19

Wiyasha¹

2021

JBHOST

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Identifying the important attributes of a product or service are crucial activities for marketing purposes. The objectives of this research are two folds. First, to identify the important attributes of Hotel Management study Program ( hereafter MPH) offered to students in the pandemic era of COVID 19. Second, based on these research findings the Manajement of International Tourism and Business Institute (hereafter ITBI) has a basis to strengthen these attributes for marketing purposes of MPH study program. To achieve those objectives primary data would be colleted with students of MPH study program semester 1 and 7 as respondents. Prior to distributing questionnaires to students a discussion with the Management of ITBI conducted in an effort to identify important attributes of MPH study program. To achieve the most enhance attributes of MPH study program conjoint analysis would be applied. This study found that overseas on the job training was the most preferred attribute of MPH study program followed by practical facilities quality.

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“…Zampetakis, Manios and Moustakis (2006) propose a four attribute CA in a 4 × 3 × 2 × 2 design reduced to 1/3 using SPSS-CA procedure in order to design courses in environmental entrepreneurship education programs. In Won and Bravo (2009) six course attributes in sport management undergraduate students were evaluated using classical CA and OLS, followed by sensitivity analysis.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian hierarchical model for comparative evaluation of teaching quality indicators in higher education

Fouskakis

Petrakos

Vavouras

2015

Journal of Applied Statistics

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The problem motivating the paper is the quantification of students' preferences regarding teaching/coursework quality, under certain numerical restrictions, in order to build a model for identifying, assessing and monitoring the major components of the overall teaching quality. We propose a Bayesian hierarchical beta regression model, with a Dirichlet prior on the model coefficients. The coefficients of the model can then be interpreted as weights and thus they measure the relative importance that students give to the different attributes. This approach not only allows for the incorporation of informative prior when it is available but also provides user-friendly interfaces and direct probability interpretations for all quantities. Furthermore, it is a natural way to implement the usual constraints for the model coefficients. This model is applied to data collected in 2009 and 2013 from undergraduate students in the Panteion University, Athens, Greece and besides the construction of an instrument for the assessment and monitoring of teaching quality, it gave some input for a preliminary discussion on the association of the differences in students' preferences between the two time-periods with the current Greek socioeconomic transformation. Results from the proposed approach are compared with the ones obtained by two alternative statistical techniques.

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Course design in sport management education: Addressing students' perspectives through conjoint methodology

Cited by 10 publications

References 33 publications

Designing E-Learning Environment Based on Student Preferences: Conjoint Analysis Approach

Designing E-Learning Environment Based on Student Preferences: Conjoint Analysis Approach

Identifying hotel management study program most enhance attributes for international tourism and business institute using conjoint analysis in pandemic era of covid 19

A Bayesian hierarchical model for comparative evaluation of teaching quality indicators in higher education

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