Exploratory Network Analysis of Learning Motivation Factors in e-Learning Facilitated Computer Programming Courses

Autor/inn/en	Ngan, Shing-Chung; Law, Kris M. Y.
Titel	Exploratory Network Analysis of Learning Motivation Factors in e-Learning Facilitated Computer Programming Courses
Quelle	In: Asia-Pacific Education Researcher, 24 (2015) 4, S.705-717 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0119-5646
DOI	10.1007/s40299-014-0223-0
Schlagwörter	Network Analysis; Learning Motivation; Electronic Learning; Computer Science Education; Programming; Undergraduate Students; Data Analysis; Mathematics + Suchen Sie Ihr Suchwort? Netzplantechnik; Motivation for studies; Lernmotivation; Computer science lessons; Informatikunterricht; Programmierung; Auswertung; Mathematik
Abstract	Educating our future engineers so that they can gain high proficiency in computational thinking is essential for their career prospects. As educators, acquiring a good understanding of the various learning motivation factors/tools as well as their inter-relationships is a significant step forward in achieving this goal. In this article, we describe an exploratory, data-analytic investigation into the influences of the various learning motivation factors on one another as well as on effecting e-learning of a group of science and engineering students taking computer programming courses. Based on the algorithmic results, we highlight concrete ideas that may have direct impact on improving an existing e-learning system. Further, we describe how the graphical visualization of the algorithmic results can guide us to set priority for focusing on which learning motivation factors first, and which factors next, in achieving a given education goal. These are among some of the new insights not easily obtainable from confirmatory-based analyses. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01