A Data Mining Approach to Study the Impact of the Methodology Followed in Chemistry Lab Classes on the Weight Attributed by the Students to the Lab Work on Learning and Motivation

Autor/inn/en	Figueiredo, M.; Esteves, L.; Neves, J.; Vicente, H.
Titel	A Data Mining Approach to Study the Impact of the Methodology Followed in Chemistry Lab Classes on the Weight Attributed by the Students to the Lab Work on Learning and Motivation
Quelle	In: Chemistry Education Research and Practice, 17 (2016) 1, S.156-171 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1756-1108
DOI	10.1039/c5rp00144g
Schlagwörter	Data Collection; Data Analysis; Chemistry; Science Instruction; Science Laboratories; Student Motivation; Student Attitudes; Teaching Methods; Secondary School Students; Grade 10; Grade 11; Foreign Countries; Secondary School Science; Questionnaires; Multivariate Analysis; Classroom Techniques; Portugal + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Auswertung; Chemie; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Schulische Motivation; Schülerverhalten; Teaching method; Lehrmethode; Unterrichtsmethode; Sekundarschüler; School year 11; 11. Schuljahr; Schuljahr 11; Ausland; Fragebogen; Multivariate Analyse; Klassenführung
Abstract	This study reports the use of data mining tools in order to examine the influence of the methodology used in chemistry lab classes, on the weight attributed by the students to the lab work on learning and own motivation. The answer frequency analysis was unable to discriminate the opinions expressed by the respondents according to the type of the teaching methodology used in the lab classes. Conversely, the data mining approach using "k"-means clustering models, allowed a deeper analysis of the results, "i.e.," enabled one to identify the methodology to teach chemistry that, in students' opinion, is important for learning chemistry and increasing their motivation. The sample comprised 3,447 students of Portuguese Secondary Schools (1,736 in the 10th grade; 1,711 in the 11th grade). The "k"-means Clustering Method was used, with "k" values ranging between 2 and 4. The main strengths of this study are the methodological approach for data analysis and the fact that the sample was formed by students with different school careers that enables the use of the individual as the unit of analysis. (As Provided).
Anmerkungen	Royal Society of Chemistry. Thomas Graham House, Science Park, Milton Road, Cambridge, CB4 0WF, UK. Tel: +44-1223 420066; Fax: +44-1223 423623; e-mail: cerp@rsc.org; Web site: http://www.rsc.org/cerp
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01