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Analysis of Intrinsic and Extrinsic Motivation Impact on Achievement of First-Year Civil Engineering Students in Osijek


Ištoka Otković, Irena; Bošnjak, Nataša; Brkanić, Ivana
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: Sveučilište J. J. Strossmayera u Osijeku, Ekonomski fakultet u Osijeku, 2013. str. 300-307 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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 : Sveučilište J. J. Strossmayera u Osijeku, Ekonomski fakultet u Osijeku, 2013, 300-307

Skup
2nd International Scientific Symposium Economy of Eastern Croatia - Yesterday, Today, Tomorrow

Mjesto i datum
Osijek, Hrvatska, 23-25.05.2013

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

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Social Sciences & Humanities (CPCI-SSH)