Student Satisfaction with R vs. Excel in Data Mining and Business Analytics: A Herzberg's Motivation-Hygiene Theory Perspective

Autor/inn/en	Sankaran, Siva; Sankaran, Kris; Bui, Tung
Titel	Student Satisfaction with R vs. Excel in Data Mining and Business Analytics: A Herzberg's Motivation-Hygiene Theory Perspective
Quelle	In: Decision Sciences Journal of Innovative Education, 21 (2023) 2, S.68-82 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sankaran, Kris)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1540-4595
DOI	10.1111/dsji.12285
Schlagwörter	Data Analysis; Programming Languages; Student Attitudes; Computer Science Education; Learning Motivation; Employment Potential; Career Counseling; Curriculum Design; Information Systems; Decision Making; Required Courses; Career Development; Undergraduate Students; Computer Software; Teaching Methods; Factor Analysis + Suchen Sie Ihr Suchwort? Auswertung; Schülerverhalten; Computer science lessons; Informatikunterricht; Motivation for studies; Lernmotivation; Arbeitsmarktbezogene Qualifikation; Beschäftigungsfähigkeit; Lehrplangestaltung; Decision-making; Entscheidungsfindung; Pflichtkurs; Berufsentwicklung; Teaching method; Lehrmethode; Unterrichtsmethode; Faktorenanalyse
Abstract	Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators for student satisfaction with R would include: (i) an intrinsic interest in DMBA, (ii) a perception that R is a better tool than Excel for DMBA, and (iii) a favorable view of R as a facilitator of career advancement. We postulated that the hygiene factor was the compulsory course requirement to learn R, a new and challenging language to students in this study. Data from 120 students, analyzed using Principal Component Analysis (PCA) and Generalized Additive Modeling (GAM), showed that motivators were positively related to satisfaction while hygiene factors were neutral. Students showed willingness to take on a harder challenge in exchange for intrinsic and future career benefits. The model can be useful in curriculum design or career advisement to increase student satisfaction in learning new software skills while meeting market demands. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01