Challenges Posed by Artificial Intelligence to the Learning Habits of Vocational Secondary School Students

This article is devoted to identifying and improving models for the use of artificial intelligence in the learning process of vocational school students. Research shows that vocational school students often use artificial intelligence, but not to create new knowledge or improve the educational process, but rather to search for answers. Based on the results of the study, the conclusions provide an overview of specific measures that can be taken to improve digital skills using AI.

Authors

Institutions

Publication Details

Journal
Pedagogika
Published
2026-03-11
DOI
https://doi.org/10.15823/p.2025.160.7
Primary Topic
Artificial Intelligence in Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenges Posed by Artificial Intelligence to the Learning Habits of Vocational Secondary School Students

Inta Kulberga, Daiva Malinauskienė, Pāvels Jurs, Lāsma Ulmane-Ozoliņa et al.
Pedagogika
Artificial Intelligence in Education
article

Challenges Posed by Artificial Intelligence to the Learning Habits of Vocational Secondary School Students

Inta Kulberga, Daiva Malinauskienė, Pāvels Jurs, Lāsma Ulmane-Ozoliņa, Juris Straume
article en

Abstract

This article is devoted to identifying and improving models for the use of artificial intelligence in the learning process of vocational school students. Research shows that vocational school students often use artificial intelligence, but not to create new knowledge or improve the educational process, but rather to search for answers. Based on the results of the study, the conclusions provide an overview of specific measures that can be taken to improve digital skills using AI.

PedagogikaVol. 160(4)
Šiauliai University (LT), Vilnius University (LT), University of Liepāja (LV)
Rīgas Tehniskā Universitāte
Quality Education
Openalex Percentile: Top 46%
Artificial Intelligence in Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.