Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training
With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an im...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Vilnius University
2023-12-01
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| Series: | Informatics in Education |
| Subjects: | |
| Online Access: | https://infedu.vu.lt/doi/10.15388/infedu.2023.28 |
| _version_ | 1797390188388810752 |
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| author | Gorjan Nadzinski Branislav Gerazov Stefan Zlatinov Tomislav Kartalov Marija Markovska Dimitrovska Hristijan Gjoreski Risto Chavdarov Zivko Kokolanski Igor Atanasov Jelena Horstmann Uros Sterle Matjaz Gams |
| author_facet | Gorjan Nadzinski Branislav Gerazov Stefan Zlatinov Tomislav Kartalov Marija Markovska Dimitrovska Hristijan Gjoreski Risto Chavdarov Zivko Kokolanski Igor Atanasov Jelena Horstmann Uros Sterle Matjaz Gams |
| author_sort | Gorjan Nadzinski |
| collection | DOAJ |
| description | With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills must be taught to students at all levels in an efficient and up-to-date manner. This paper gives an overview of the current state of data science and machine learning education globally and both at the high school and university levels, while outlining some illustrative and positive examples. Special focus is given to vocational education and training (VET), where the teaching of these skills is at its very beginning. Also presented and analysed are survey results concerning VET students in Slovenia, Serbia, and North Macedonia, and their knowledge, interests, and prerequisites regarding data science and machine learning. These results confirm the need for development of efficient and accessible curricula and courses on these subjects in vocational schools. |
| first_indexed | 2024-03-08T23:08:08Z |
| format | Article |
| id | doaj.art-0cc7205b58814c32bd84f4755c90bf82 |
| institution | Directory Open Access Journal |
| issn | 1648-5831 2335-8971 |
| language | English |
| last_indexed | 2024-03-08T23:08:08Z |
| publishDate | 2023-12-01 |
| publisher | Vilnius University |
| record_format | Article |
| series | Informatics in Education |
| spelling | doaj.art-0cc7205b58814c32bd84f4755c90bf822023-12-15T10:24:11ZengVilnius UniversityInformatics in Education1648-58312335-89712023-12-0122467169010.15388/infedu.2023.28Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and TrainingGorjan Nadzinski0Branislav Gerazov1Stefan Zlatinov2Tomislav Kartalov3Marija Markovska Dimitrovska4Hristijan Gjoreski5Risto Chavdarov6Zivko Kokolanski7Igor Atanasov8Jelena Horstmann9Uros Sterle10Matjaz Gams11Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies in Skopje, North Macedonia.Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies in Skopje, North Macedonia.Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies in Skopje, North Macedonia.Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies in Skopje, North Macedonia.Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies in Skopje, North Macedonia.Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies in Skopje, North Macedonia.Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies in Skopje, North Macedonia.Ss. Cyril and Methodius University, Faculty of Electrical Engineering and Information Technologies in Skopje, North Macedonia.Secondary Municipal Vocational School "Ilinden", North Macedonia.School of Electrical Engineering "Mihajlo Pupin", Novi Sad, Serbia.School Center Kranj, Slovenia.Jozef Stefan Institute, Ljublana, Slovenia.With the development of technology allowing for a rapid expansion of data science and machine learning in our everyday lives, a significant gap is forming in the global job market where the demand for qualified workers in these fields cannot be properly satisfied. This worrying trend calls for an immediate action in education, where these skills must be taught to students at all levels in an efficient and up-to-date manner. This paper gives an overview of the current state of data science and machine learning education globally and both at the high school and university levels, while outlining some illustrative and positive examples. Special focus is given to vocational education and training (VET), where the teaching of these skills is at its very beginning. Also presented and analysed are survey results concerning VET students in Slovenia, Serbia, and North Macedonia, and their knowledge, interests, and prerequisites regarding data science and machine learning. These results confirm the need for development of efficient and accessible curricula and courses on these subjects in vocational schools.https://infedu.vu.lt/doi/10.15388/infedu.2023.28educationmachine learningdata sciencevocational education and trainingsurvey |
| spellingShingle | Gorjan Nadzinski Branislav Gerazov Stefan Zlatinov Tomislav Kartalov Marija Markovska Dimitrovska Hristijan Gjoreski Risto Chavdarov Zivko Kokolanski Igor Atanasov Jelena Horstmann Uros Sterle Matjaz Gams Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training Informatics in Education education machine learning data science vocational education and training survey |
| title | Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training |
| title_full | Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training |
| title_fullStr | Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training |
| title_full_unstemmed | Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training |
| title_short | Data Science and Machine Learning Teaching Practices with Focus on Vocational Education and Training |
| title_sort | data science and machine learning teaching practices with focus on vocational education and training |
| topic | education machine learning data science vocational education and training survey |
| url | https://infedu.vu.lt/doi/10.15388/infedu.2023.28 |
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