Modeliranje dejavnikov, ki vplivajo na razumevanje uvodnih konceptov iz programiranja

diplomsko delo

Monika Jensterle (Author), Irena Nančovska Šerbec (Mentor), Matej Zapušek (Co-mentor)

Abstract

Namen diplomskega dela je modeliranje dejavnikov, ki vplivajo na uspešnost študentov pri uvodnem programiranju. Ugotoviti želimo, kateri dejavniki vplivajo na uspešno opravljen predmet iz uvodnega programiranja. Analizirali smo tudi tri naloge, ki vsebujejo koncepte, za katere menimo, da so težavni za programerje začetnike in ugotavljali na kakšen način se študenti pri teh nalogah motijo. V teoretičnem delu smo na podlagi izbrane literature opredelili dejavnike, ki vplivajo na uspešnost pri programerjih začetnikih. V empiričnem delu smo izvedli raziskavo o dejavnikih, ki vplivajo na uspeh pri opravljanju izpita iz programiranja. K sodelovanju smo povabili študente Univerze v Ljubljani, ki poslušajo predmete iz uvodnega programiranja. Z vprašalnikom smo pridobili podatke o srednji šoli, uspešnosti na maturi, učnem stilu, predznanju programiranja, obiskovanju in sodelovanju na predavanjih ter vajah, oceni predmeta iz uvodnega programiranja, številu poskusov potrebnih za opravljen predmet... Analizirali smo tudi način reševanja treh omenjenih nalog. Naloge smo dodali vprašalniku. Za modeliranje podatkov smo uporabili odločitvena drevesa. Interpretirali smo jih s ciljem, da bi izboljšali didaktični pristop pri uvodnem programiranju. Odločitveni modeli nakazujejo, da za študente, ki so sodelovali v raziskavi velja, da na njihov uspeh pri programiranju najbolj vpliva uspešnost na maturi (ali je študent opravljal splošno ali poklicno maturo in koliko točk je dosegel).

Keywords

uvodno programiranje;strojno učenje;odločitvena drevesa;modeliranje študentov;

Data

Language:	Slovenian
Year of publishing:	2016
Typology:	2.11 - Undergraduate Thesis
Organization:	UL PEF - Faculty of Education
Publisher:	[M. Jensterle]
UDC:	004.415.3:378(043.2)
COBISS:	11172681
Views:	505
Downloads:	97
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Modeling the factors that influence understanding of concepts in introductory programming course
Secondary abstract:	The aim of the diploma thesis is modeling the factors that influence the performance of students in introductory programming. We wanted to determine what factors influence the successful passing of the exam from the introductory programming. We also analyzed three programming tasks, which reflect concepts that we think are difficult for novice programmers and identified how students in these tasks make mistakes. In the theoretical part, we identified factors that affect the performance of the novice programmers on the basis of selected literature. In the empirical part, we conducted a research among students on the factors that influence the success in passing an exam in programming. We invited students from University of Ljubljana, who take the introductory programming courses. With the questionnaire we collected data on high school, success in graduating from high school, learning style, prior knowledge of programming, attendance and participation in lectures and tutorials, assessment of the introductory programming course, the number of attempts needed to pass the subject ... We also analyzed the way of solving three tasks mentioned above. The tasks were added to the questionnaire. For the data modeling, we used decision tree analysis. We interpreted them with a view to improve the didactic approach to introductory programming. Decision models suggest that the students’ success in programming is mostly influenced by the success of graduating from high school - whether the student carried out general or vocational matura and how many points the student scored.
Secondary keywords:	computer science;student;učenje;računalništvo;študent;
File type:	application/pdf
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. Ljubljana, Pedagoška fak., Matematika-računalništvo
Pages:	35 str., [5] str. pril.
ID:	9171019