"Extreme Programming" in a Bioinformatics Class

Autor/inn/en	Kelley, Scott; Alger, Christianna; Deutschman, Douglas
Titel	"Extreme Programming" in a Bioinformatics Class
Quelle	In: Bioscene: Journal of College Biology Teaching, 35 (2009) 1, S.58-65 (8 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1539-2422
Schlagwörter	Biology; Information Science; Science Instruction; College Science; Cooperative Learning; Models; Programming; Satisfaction; Statistical Analysis; Instructional Effectiveness; Undergraduate Students; California + Suchen Sie Ihr Suchwort? Biologie; Informationswissenschaft; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Kooperatives Lernen; Analogiemodell; Programmierung; Zufriedenheit; Statistische Analyse; Unterrichtserfolg; Kalifornien
Abstract	The importance of Bioinformatics tools and methodology in modern biological research underscores the need for robust and effective courses at the college level. This paper describes such a course designed on the principles of cooperative learning based on a computer software industry production model called "Extreme Programming" (EP). The classroom version of EP included: working in pairs, switching roles between labs, partner interdependence and individual accountability. New pairings were created at random each week and at the completion of each lab, students (n = 18) indicated their satisfaction and frustration levels with working with partners, the materials, and the technology. We used a Repeated Measures-ANOVA (RM-ANOVA) statistical design to provide statistical power with a modest number of subjects. Students consistently rated working with a pair highest in terms of both ease and satisfaction, regardless of prior programming and technology experience. We found no differences in reported ease or satisfaction between undergraduate and graduate students, or between students with prior experience with technology. Surprisingly, we found that students rated the more difficult computer programming part of the course higher than the web-based exercises. The Extreme Programming cooperative model appears to be very appropriate for Bioinformatics classes, and can be easily implemented in computational labs to enhance student satisfaction and potentially maximize the use of computer workstations. (Contains 2 tables and 3 figures.) (As Provided).
Anmerkungen	Association of College and Biology Educators. Web site: http://acube.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10