The Need Analysis Raw Data of Engineering Instructors

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Autori principali: SARSAR, FIRAT, Andiç Çakır, Özge, KARA, Mehmet, Chaudhry, Saqib Rasool, DEV, KAPAL, Cajnko, Miša Mojca, Pavlin, Matic, Pavitola, Linda, Tağıyev, Urfan
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2025
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author SARSAR, FIRAT
Andiç Çakır, Özge
KARA, Mehmet
Chaudhry, Saqib Rasool
DEV, KAPAL
Cajnko, Miša Mojca
Pavlin, Matic
Pavitola, Linda
Tağıyev, Urfan
author_facet SARSAR, FIRAT
Andiç Çakır, Özge
KARA, Mehmet
Chaudhry, Saqib Rasool
DEV, KAPAL
Cajnko, Miša Mojca
Pavlin, Matic
Pavitola, Linda
Tağıyev, Urfan
contents <p>This dataset contains responses to the need analysis of the engineering instructors' questionnaire. The Questionnaire is focused on analysing the requirements and needs of engineering instructors in the context of virtual reality labs. The questions were Likert-type, open-ended and optional. The analysis was carried out through multi-round questionnaires using the Delphi technique. The questionnaire was distributed to various universities in the participating regions and reached 200 engineering trainers. An affinity diagram was used to classify the data for the open-ended question, and the project consortium members completed the quantitative analysis for the other questions. </p> <p> </p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_14916945
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle The Need Analysis Raw Data of Engineering Instructors
SARSAR, FIRAT
Andiç Çakır, Özge
KARA, Mehmet
Chaudhry, Saqib Rasool
DEV, KAPAL
Cajnko, Miša Mojca
Pavlin, Matic
Pavitola, Linda
Tağıyev, Urfan
Need Analysis
VR
Engineering Instructors
Engineering Education
<p>This dataset contains responses to the need analysis of the engineering instructors' questionnaire. The Questionnaire is focused on analysing the requirements and needs of engineering instructors in the context of virtual reality labs. The questions were Likert-type, open-ended and optional. The analysis was carried out through multi-round questionnaires using the Delphi technique. The questionnaire was distributed to various universities in the participating regions and reached 200 engineering trainers. An affinity diagram was used to classify the data for the open-ended question, and the project consortium members completed the quantitative analysis for the other questions. </p> <p> </p>
title The Need Analysis Raw Data of Engineering Instructors
topic Need Analysis
VR
Engineering Instructors
Engineering Education
url https://doi.org/10.5281/zenodo.14916945