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Conversely, the data mining approach using<italic>k<\/italic>-means clustering models, allowed a deeper analysis of the results,<italic>i.e.<\/italic>, 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 3447 students of Portuguese Secondary Schools (1736 in the 10th grade; 1711 in the 11th grade). The<italic>k<\/italic>-means Clustering Method was used, with<italic>k<\/italic>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.<\/p>","DOI":"10.1039\/c5rp00144g","type":"journal-article","created":{"date-parts":[[2015,11,30]],"date-time":"2015-11-30T09:01:29Z","timestamp":1448874089000},"page":"156-171","update-policy":"https:\/\/doi.org\/10.1039\/rsc_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["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"],"prefix":"10.1039","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8969-0380","authenticated-orcid":false,"given":"M.","family":"Figueiredo","sequence":"first","affiliation":[{"name":"Departamento de Qu\u00edmica"},{"name":"Centro de Investiga\u00e7\u00e3o em Educa\u00e7\u00e3o e Psicologia"},{"name":"Escola de Ci\u00eancias e Tecnologia"},{"name":"Universidade de \u00c9vora"},{"name":"\u00c9vora"}]},{"given":"L.","family":"Esteves","sequence":"additional","affiliation":[{"name":"Departamento de Qu\u00edmica"},{"name":"Escola de Ci\u00eancias e Tecnologia"},{"name":"Universidade de \u00c9vora"},{"name":"\u00c9vora"},{"name":"Portugal"}]},{"given":"J.","family":"Neves","sequence":"additional","affiliation":[{"name":"Algoritmi"},{"name":"Universidade do Minho"},{"name":"Braga"},{"name":"Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8456-7773","authenticated-orcid":false,"given":"H.","family":"Vicente","sequence":"additional","affiliation":[{"name":"Departamento de Qu\u00edmica"},{"name":"Centro de Qu\u00edmica de \u00c9vora"},{"name":"Escola de Ci\u00eancias e Tecnologia"},{"name":"Universidade de \u00c9vora"},{"name":"\u00c9vora"}]}],"member":"292","published-online":{"date-parts":[[2016]]},"reference":[{"unstructured":"Abrahams I. and Reiss M. 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Ecodyn., 7, 299\u2013308","key":"C5RP00144G-(cit14)\/*[position()=1]"},{"unstructured":"DeKetele J. and Roegiers X., (2009), M\u00e9thodologie du Recueil d'Informations: Fondements des M\u00e9thodes d'Observation, de Questionnaire, d'Interview et d'\u00c9tudes de documents, 4th edn, Paris, France: DeBoeck Universite","key":"C5RP00144G-(cit15)\/*[position()=1]"},{"unstructured":"Dweck C. S., (1986), Motivational processes affecting learning, Am. Psychol., 41, 1040\u20131048","key":"C5RP00144G-(cit16)\/*[position()=1]"},{"unstructured":"Elliot A. J., McGregor H. A. and Gable S., (1999), Achievement goals, study strategies, and exam performance: a mediational analysis, J. Educ. Psychol., 91, 549\u2013563","key":"C5RP00144G-(cit17)\/*[position()=1]"},{"doi-asserted-by":"crossref","unstructured":"Engle R. A., (2012), The resurgence of research into transfer: an introduction to the final articles of the transfer strand, J. Learn. 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