prikaz prve stranice dokumenta Stilovi učenja u poučavanju programiranja korištenjem robota STEMI hexapod
Embargo period 2025-03-21
master's thesis
Stilovi učenja u poučavanju programiranja korištenjem robota STEMI hexapod
Split: University of Split, Faculty of Science, 2023. urn:nbn:hr:166:272051
Bajić, Ana
University of Split
Faculty of Science
Department of Informatics

Institutional repository: Repository of Faculty of Science

Cite this document

Bajić, A. (2023). Stilovi učenja u poučavanju programiranja korištenjem robota STEMI hexapod (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:272051

Bajić, Ana. "Stilovi učenja u poučavanju programiranja korištenjem robota STEMI hexapod." Master's thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:272051

Bajić, Ana. "Stilovi učenja u poučavanju programiranja korištenjem robota STEMI hexapod." Master's thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:272051

Bajić, A. (2023). 'Stilovi učenja u poučavanju programiranja korištenjem robota STEMI hexapod', Master's thesis, University of Split, Faculty of Science, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:166:272051

Bajić A. Stilovi učenja u poučavanju programiranja korištenjem robota STEMI hexapod [Master's thesis]. Split: University of Split, Faculty of Science; 2023 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:166:272051

A. Bajić, "Stilovi učenja u poučavanju programiranja korištenjem robota STEMI hexapod", Master's thesis, University of Split, Faculty of Science, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:166:272051

Metadata
TitleStilovi učenja u poučavanju programiranja korištenjem robota STEMI hexapod
Title (english)Learning styles in teaching programming using the STEMI hexapod robot
AuthorAna Bajić
MentorJelena Nakić (mentor)
Committee memberJelena Nakić (predsjednik povjerenstva)
Committee memberBranko Žitko (član povjerenstva)
Committee memberMirna Marić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2023-04-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		INTERDISCIPLINARY AREAS OF KNOWLEDGE
Educational Sciences (Child and Educational Psychology, Sociology of Education, Political Science of Education, Economics of Education, Anthropology of Education, Neurosciences and Early Learning, Educational Disciplines)
Abstract
Korištenjem robota, učenici se mogu aktivno uključiti u proces učenja, a programiranje postaje interaktivno i zabavno. U ovom radu izrađena je mobilna aplikacija na edukacijskoj platformi MIT App Inventor korištenjem programskog jezika Scratch koja služi za upravljanje robotom STEMI hexapod. Kao glavni dio rada provodi se istraživanje interakcije različitih stilova učenja u poučavanju programiranja korištenjem robota STEMI hexapod. U obradi podataka koristi se factorial ANOVA kao metoda višefaktorske analize varijance za četiri dimenzije stilova učenja prema Felder-Silvermanovom modelu. Na uzorku od 97 ispitanika, utvrđeno je da učenici koji su verbalni po vizualno/verbalnoj dimenziji i ujedno racionalni po racionalno/intuitivnoj dimenziji postižu statistički značajno bolje rezultate u programiranju robota od učenika koji imaju druge kombinacije stilova učenja prema Felder-Silvermanovom modelu.
Abstract (english)
By using robots, students can actively engage in the learning process, and programming becomes interactive and fun. In this study, a mobile application was developed on the educational platform MIT App Inventor using the Scratch programming language, which is used to control the STEMI hexapod robot. The main part of the project involves researching the interaction of different learning styles on programming learning using the STEMI hexapod robot. Factorial ANOVA is used as a method of multivariate analysis of variance for four dimensions of learning styles according to the Felder-Silverman model. Based on a sample of 97 participants, it was found that students who are verbal on the visual/verbal dimension and rational on the rational/intuitive dimension achieve statistically significantly better results in robot programming than students with other combinations for all four dimensions of learning styles according to the Fedler-Silverman model.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:272051
Study programmeTitle: Mathematics and Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije matematike i informatike (magistar/magistra edukacije matematike i informatike)
Type of resourceText
File originBorn digital
Access conditionsEmbargoed access
Embargo expiration date: 2025-03-21
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-04-06 08:12:32