Pregled bibliografske jedinice broj: 738991
Predictors of novices programmers' performance
Predictors of novices programmers' performance // ICERI2014 Proceedings / L. Gómez Chova, A. López Martínez, I. Candel Torres (ur.).
Sevilla: IATED AInternational Academy of Technology, Education and Development, 2014. str. 1536-1545 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 738991 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predictors of novices programmers' performance
Autori
Bubica, Nikolina ; Boljat, Ivica
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
ICERI2014 Proceedings
/ L. Gómez Chova, A. López Martínez, I. Candel Torres - Sevilla : IATED AInternational Academy of Technology, Education and Development, 2014, 1536-1545
ISBN
978-84-617-2484-0
Skup
7th International Conference of Education, Research and Innovation
Mjesto i datum
Sevilla, Španjolska, 17.11.2014. - 19.11.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
programming ; novices ; predictors ; teaching
Sažetak
Despite the awareness of the important role of programming in today’s technological lifestyle and the fact that programming jobs are among the most sought after professions today, computer science students consider programming contents overly demanding and often avoid them. This paper aims to provide an overview of the relevant literature and studies that examine factors that may significantly affect the performance of programming. We will give an overview of good and bad predictors of success in programming and factors that, so far, have not shown the predictions’ strength or their impact on the performance of programming hasn’t been sufficiently explored. Knowledge of these factors is extremely important for computer science teachers in order to apply the appropriate teaching model for novices that emphasizes the development of the ability to anticipate and understand what happens when a specific computer program performs. Factors like mathematical knowledge, attribution of success, good spatial maps sketching have proved to be good predictors of programming success while surface learning approach showed strong negative impact on novices’ programming performance. On the other hand, despite the expectations, student’s gender, number of years of programming, number of familiar programming languages, haven’t show any significant impact on programming performance.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti, Obrazovne znanosti (psihologija odgoja i obrazovanja, sociologija obrazovanja, politologija obrazovanja, ekonomika obrazovanja, antropologija obrazovanja, neuroznanost i rano učenje, pedagoške discipline)
POVEZANOST RADA
Ustanove:
Prirodoslovno-matematički fakultet, Split