Neo-Luddite Concerns about Artificial Intelligence

Data Description
The dataset comprises quantitative survey data collected from 354 12th-grade high school students enrolled in six different types of public high schools located in the city center of Eskişehir, Türkiye. The data were gathered during the 2024–2025 academic year from students who were actively preparing for the 2025 Higher Education Institutions Examination (YKS). The dataset was generated using a structured 70-item questionnaire administered in person after obtaining official permission from the Provincial Directorate of National Education.
The survey includes two main sections. The first section contains 20 items capturing students’ socio-demographic characteristics, such as school type and background variables relevant to career decision-making. The second section consists of 50 five-point Likert-type items designed to measure students’ perceptions of artificial intelligence, levels of Neo-Luddite fear related to AI-driven technological change, and the perceived influence of these factors on their career choice decisions.
Sampling was conducted using a combination of simple random sampling and criterion sampling, with the primary inclusion criterion being enrollment in the 12th grade. The resulting dataset provides a cross-sectional snapshot of students’ attitudes and perceptions at a single point in time. Preliminary analysis indicated that the data were normally distributed based on the Kolmogorov–Smirnov test. The dataset is suitable for descriptive and inferential statistical analyses, including frequency distributions, means, independent samples t-tests, and one-way ANOVA, all of which were conducted using SPSS version 27.0. The data are available from the authors upon reasonable request.