Pregled bibliografske jedinice broj: 636139
Analysis of Intrinsic and Extrinsic Motivation Impact on Achievement of First-Year Civil Engineering Students in Osijek
Analysis of Intrinsic and Extrinsic Motivation Impact on Achievement of First-Year Civil Engineering Students in Osijek // 2nd International Scientific Symposium Economy of Eastern Croatia - Yesterday, Today, Tomorrow / Mašek Tonković, Anka (ur.).
Osijek: Ekonomski fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2013. str. 300-307 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Analysis of Intrinsic and Extrinsic Motivation
Impact on Achievement of First-Year Civil
Engineering Students in Osijek
Autori
Ištoka Otković, Irena ; Bošnjak, Nataša ; Brkanić, Ivana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2nd International Scientific Symposium Economy of Eastern Croatia - Yesterday, Today, Tomorrow
/ Mašek Tonković, Anka - Osijek : Ekonomski fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2013, 300-307
Skup
2nd International Scientific Symposium Economy of Eastern Croatia - Yesterday, Today, Tomorrow
Mjesto i datum
Osijek, Hrvatska, 23.05.2013. - 25.05.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
intrinsic and extrinsic motivation ; civil engineering students ; neural networks
Sažetak
The largest decrease in the number of students of the Civil Engineering Faculty in Osijek occurs during the first years of studying. This paper analyzes the influence of intrinsic and extrinsic motivation on students' achievement in the selected course during the first semester of the full-time undergraduate study. Based on the survey among first-year students, which examined the motivational variables and subjective ratings of specific prior knowledge of subjects associated with the selected course, a database of 90 subjects has been obtained. This research has explored the possibility of using neural networks for the prediction of the learning outcomes expressed in measurable and observable terms, i.e., grades earned in the selected course. Several configurations of neural networks have been examined and the neural network that achieved the best correlation in the success prediction has been used to analyse the impact of each input variable on the students’ success achieved during the selected course. According to the Self- determination theory, increasing of intrinsic motivation would lead to higher student achievement, greater creativity and flexibility of thinking and better long-term memory. Variable intrinsic motivation can be encouraged by a certain social atmosphere, by strengthening individual sense of autonomy, by competence and connection. The results of this study have revealed a complex interaction of input variables, but generally the effect of extrinsic motivation on achievement of students included in this research is more significant. These results are indicative, but they should be taken with a grain of salt, because they include the assessment of the success of learning outcomes of the only one course. More realistic picture requires a longer period of observation of the students' achievement, including more courses and the observation of the overall success of students during their undergraduate studies.
Izvorni jezik
Engleski
Znanstvena područja
Psihologija, Pedagogija
POVEZANOST RADA
Ustanove:
Građevinski i arhitektonski fakultet Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Social Sciences & Humanities (CPCI-SSH)