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Statistics Undergraduates vs. AI Career Anxiety Data
Education & Learning Analytics
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About
This collection of survey responses focuses on understanding the attitudes of statistics students at public universities in Ankara, Turkey, concerning the rising influence of Artificial Intelligence (AI) and automation on their professional futures. The data facilitates a comparison among students from institutions such as Hacettepe University, Ankara University, Gazi University, and Middle East Technical University (METU), revealing how opinions and levels of worry shift across different academic environments. Initial findings suggest that students with higher Grade Point Averages (GPA) generally view AI development more positively. Furthermore, having internship experience appears to slightly lessen anxiety regarding AI's potential career impact. Notably, METU students show higher awareness of AI concepts, while Gazi students express stronger concerns.
Columns
The dataset contains 19 columns covering demographic, academic, and attitudinal variables:
- Gender: The respondent's gender (Female 58%, Male 42%).
- University: The specific public university in Ankara where the student is enrolled (Hacettepe University is the most common at 45%).
- Year of Study: The student’s current academic year.
- GPA: The student's Grade Point Average range (2.51 - 3.00 is the most common).
- Internship Experience: Boolean indicating whether the student has completed an internship (False 64%, True 36%).
- AI and Automation Knowledge Level: Self-assessed understanding of AI (Little knowledge is the most common response at 51%).
- Impact of AI on Career Plans: Boolean indicating perceived effect on future career plans (True 62%).
- Impact of AI on Job Opportunities: Perceived nature of AI's effect on available job opportunities (Positive impact 68% is the most common).
- Concern Level: Degree of worry about general AI development (Slightly concerned 45% is the most common).
- Anxiety Level: Level of anxiety specifically related to job prospects due to AI (Slight anxiety 43% is the most common).
- If I Studied Engineering, I Would Feel More Resilient to AI Impacts: Agreement level with this statement (Disagree 47% is the most common).
- Math Courses Help Understand AI: Agreement level with this statement.
- Statistics Curriculum Helps Adapt: Agreement level with this statement (Partially agree 48% is the most common).
- Satisfaction with Studying Statistics: Student satisfaction level (Satisfied 51% is the most common).
- Education Prepares for AI Field: Agreement level with this statement (Disagree 49% is the most common).
- Future Focus on AI and Automation: Boolean indicating intent to focus on AI/Automation in the future (True 70%).
- Research Opportunities at University: Boolean indicating presence of research opportunities (False 56%).
- AI Influence on Choosing Statistics: Degree of AI's impact on the decision to study statistics (No influence 35% is the most common).
- Difficulties in Internship Interviews: Indication of difficulty faced during interviews (No 76%).
Distribution
The data file is provided in CSV format. It is a single snapshot containing 188 valid records across 19 columns. The file size is 37.72 kB. There is no expected future update frequency for this dataset.
Usage
This data is suitable for analysing student perspectives on technology's influence on future careers. It can be used to compare how statistics students from different universities perceive AI threats. Researchers can explore the correlation between anxiety levels, career plans, academic performance (GPA), and internship experience. It is also an excellent resource for creating visual stories and charts that illustrate educational and career trends related to automation.
Coverage
The geographic scope is limited to Ankara, Turkey. The demographic coverage includes undergraduate statistics students enrolled in four major public universities in that city. The data represents a fixed point in time, having been created as part of an academic course project.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
Intended users include Academic Researchers investigating the psychosocial impact of automation on high-skilled fields, University Administrators seeking feedback on curriculum relevance concerning modern technological demands, Career Guidance Counsellors advising students in quantitative fields, and Data Scientists interested in performing detailed categorical data analysis on survey responses.
Dataset Name Suggestions
- Ankara Statistics Student AI Perceptions Survey
- Turkish Student Attitudes Towards Automation Threats
- Statistics Undergraduates vs. AI Career Anxiety Data
Attributes
Original Data Source: Statistics Undergraduates vs. AI Career Anxiety Data
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