MODERN METHODS IN TEACHING PROGRAMMING

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F25%3AA2603APQ" target="_blank" >RIV/61988987:17310/25:A2603APQ - isvavai.cz</a>

Result on the web

<a href="https://library.iated.org/view/FOJTIK2025MOD" target="_blank" >https://library.iated.org/view/FOJTIK2025MOD</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21125/inted.2025.0930" target="_blank" >10.21125/inted.2025.0930</a>

Result language

angličtina

Original language name

MODERN METHODS IN TEACHING PROGRAMMING

Original language description

Programming education needs to respond to the current demands on programmers' skills and knowledge, which are changing rapidly due to the development of artificial intelligence and machine learning. There is now a need to emphasise skills in analysis and subsequent problem solving, rather than simply producing code that can be largely automated and left to artificial intelligence. Key skills for programmers include the ability to analyse and design solutions for programs, to write, read and modify code, and to use appropriate tools. And not just the ability to use development tools, but also artificial intelligence and machine learning tools. The education system needs to respond to these dynamic changes, and it is appropriate to use new, modern and more appropriate teaching methods.This paper discusses the use of group work, cooperative learning, learning by error and artificial intelligence in teaching programming. Cooperative learning is one of the communicative approaches that use small group work with an emphasis on positive interdependence and responsibility of the group and the individual, shared leadership and group feedback. In cooperative situations, higher productivity is usually observed than when people work independently. The ability to cooperate is also seen as a key skill in practical life. For these reasons, cooperative learning is an appropriate modern pedagogical approach, but it is less used in schools than it should be. This paper describes the results and experiences of case studies that have been implemented in programming education. Students in small groups carried activities in which they had to solve problems, analyses and create new programs together. The results of the case studies and experiments show that when cooperative approaches are used properly, students are usually more motivated, more focused on solving problems and tend to perform better than individuals. The paper will also include an analysis of students' experiences with the use of artificial intelligence in code generation and the results of a questionnaire survey in which students evaluated the use of collaborative approaches.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50301 - Education, general; including training, pedagogy, didactics [and education systems]

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

INTED2025 Proceedings

ISBN

978-84-09-70107-0

ISSN

2340-1079

e-ISSN

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Number of pages

6

Pages from-to

3687-3692

Publisher name

IATED Academy

Place of publication

Valencia

Event location

Valencia

Event date

Mar 3, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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