dc.creator | Muñoz de la Peña Castrillo, Arsenio | es |
dc.creator | Muñoz de la Peña Sequedo, David | es |
dc.creator | Godoy-Caballero, María del Pilar | es |
dc.creator | González-Gómez, David | es |
dc.creator | Gómez-Estern Aguilar, Fabio | es |
dc.creator | Sánchez, Carlos | es |
dc.date.accessioned | 2021-05-20T18:37:30Z | |
dc.date.available | 2021-05-20T18:37:30Z | |
dc.date.issued | 2014-08 | |
dc.identifier.citation | Muñoz de la Peña Castrillo, A., Muñoz de la Peña Sequedo, D., Godoy-Caballero, M.d.P., González-Gómez, D., Gómez-Estern Aguilar, F. y Sánchez, C. (2014). Automatic Evaluation and Data Generation for Analytical Chemistry Instrumental Analysis Exercises. Química Nova, 37 (9), 1550-1558. | |
dc.identifier.issn | 0100-4042 | es |
dc.identifier.uri | https://hdl.handle.net/11441/109139 | |
dc.description.abstract | In general, laboratory activities are costly in terms of time, space, and money. As such, the ability to provide realistically simulated
laboratory data that enables students to practice data analysis techniques as a complementary activity would be expected to reduce
these costs while opening up very interesting possibilities. In the present work, a novel methodology is presented for design of
analytical chemistry instrumental analysis exercises that can be automatically personalized for each student and the results evaluated
immediately. The proposed system provides each student with a different set of experimental data generated randomly while satisfying
a set of constraints, rather than using data obtained from actual laboratory work. This allows the instructor to provide students with a
set of practical problems to complement their regular laboratory work along with the corresponding feedback provided by the system’s
automatic evaluation process. To this end, the Goodle Grading Management System (GMS), an innovative web-based educational
tool for automating the collection and assessment of practical exercises for engineering and scientific courses, was developed. The
proposed methodology takes full advantage of the Goodle GMS fusion code architecture. The design of a particular exercise is
provided ad hoc by the instructor and requires basic Matlab knowledge. The system has been employed with satisfactory results in
several university courses. To demonstrate the automatic evaluation process, three exercises are presented in detail. The first exercise
involves a linear regression analysis of data and the calculation of the quality parameters of an instrumental analysis method. The
second and third exercises address two different comparison tests, a comparison test of the mean and a t-paired test. | es |
dc.description.sponsorship | Vicerrectorado de Calidad e Infraestructuras de la Universidad de Extremadura A2_2013_90 | es |
dc.description.sponsorship | Vicerrectorado de Calidad e Infraestructuras de la Universidad de Extremadura B_2014_27 | es |
dc.description.sponsorship | Ministerio de Economia y Competitividad CTQ2011-25388 | es |
dc.description.sponsorship | Junta de Extremadura GR-10033 | es |
dc.description.sponsorship | Junta de Extremadura FQM003 | es |
dc.description.sponsorship | Unión Europea (FEDER) GR-10033 | es |
dc.description.sponsorship | Unión Europea (FEDER) FQM003 | es |
dc.format | application/pdf | es |
dc.format.extent | 9 p. | es |
dc.language.iso | eng | es |
dc.publisher | Sociedad Química Brasileña | es |
dc.relation.ispartof | Química Nova, 37 (9), 1550-1558. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Evaluation | es |
dc.subject | Numerical exercises | es |
dc.subject | Analytical chemistry | es |
dc.title | Automatic Evaluation and Data Generation for Analytical Chemistry Instrumental Analysis Exercises | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | A2_2013_90 | es |
dc.relation.projectID | B_2014_27 | es |
dc.relation.projectID | CTQ2011-25388 | es |
dc.relation.projectID | GR-10033 | es |
dc.relation.projectID | FQM003 | es |
dc.relation.publisherversion | https://www.crossref.org/iPage?doi=10.5935%2F0100-4042.20140242 | es |
dc.identifier.doi | 10.5935%2F0100-4042.20140242 | es |
dc.journaltitle | Química Nova | es |
dc.publication.volumen | 37 | es |
dc.publication.issue | 9 | es |
dc.publication.initialPage | 1550 | es |
dc.publication.endPage | 1558 | es |
dc.identifier.sisius | 21200068 | es |
dc.contributor.funder | Universidad de Extremadura | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Junta de Extremadura | es |
dc.contributor.funder | European Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER) | es |