Project CEMAPRE internal
| Title | Students Attitudes, Learning, Achievement in Quantitative curricular units: The case of ISEG- ULisbon |
| Participants | João Andrade e Silva, Graça Leão Fernandes (Principal Investigator) |
| Summary | Research on attitude has a long history in quantitative subjects like Statistics . It is long recognized that attitudes play a crucial role in learning and adopting a statistical thinking and so have a measurable impact on academic success.Recent research based in EVM use multidimensional analysis of attitudes. Attitudes have as main components: Emotions, Success Expectancy (cognitive competence), Task value, Task difficulty. Each one of these attitudes components can hinder the learning of quantitative methods curricular units and therefore affects academic performance. Students previous academic trajectory as well as individual characteristics and socio-economic environment have an influence in atitudes reinforcing their impact on learning and academic performance. Attitudes towards quantitative subjects are a world wide area of research . Recent research have been mainly focused on students with less than tertiary education. Very few analyze Higher Education students and even fewer deal with students in Economics, Finance and Management. Seldom, analyze both attitudes and objective variables as determinants of learning and academic performance. This project will pursue the work started in 2015 which is summarized in a paper presented at the 2015 ECER in Budapest . Data is collected through the Pedagogical Observatory (PO) online adapted Survey of Attitudes Towards Statistics [Schau, C. et al.(1995-2), Schau, C. (2003)] applied to ISEG students enrolled in Quantitative curricular units. We merged the data base from the Survey with ISEG-OP database which provide information on objective factors: individual characteristics, socio-economic environment, and school trajectory.Standardized synthetic indexes, weighted averages of the factorial components are used to measure attitudes. The weights being the "scores" of ACP factorials with a single factor. |