Technology Use (and Avoidance) in Undergraduate Mathematics Courses: Survey Dataset and Analysis Files

This repository contains anonymised quantitative survey data and accompanying documentation used in the study: “Technology Use (and Avoidance) in Undergraduate Mathematics Courses: A Mixed Methods Study” (currently under review). The dataset supports analyses of undergraduate students’ use of digital resources in mathematics education and their perceptions based on the Technology Acceptance Model (TAM). Survey responses were collected between 18 March and 13 June 2025. After data cleaning and exclusion of incomplete responses, the final dataset includes 100 valid responses. The publicly available dataset has been anonymised prior to publication. Direct personal identifiers, including IP addresses, have been removed from the publicly available dataset. No personally identifiable information is included in the publicly available dataset. The survey was administered online using the Qualtrics platform and distributed via academic staff in mathematics departments across UK universities. Participation was voluntary, and participants were informed about the confidentiality and intended use of the survey data. Contents of the repository This repository includes the following files: 1. Survey dataset Survey_Data_Anonymised.savSPSS dataset containing cleaned and anonymised survey responses.Includes all variables used in statistical analyses (frequencies, descriptive statistics, reliability analysis, PCA, regression, and ANOVA). 2. Codebook Survey_Codebook.xlsxFull description of all survey variables, including: variable names and labels response scales coding schemes derived/composite variables TAM construct mapping: AU (Actual Use), PEOU (Perceived Ease of Use), PU (Perceived Usefulness), ATU (Attitude Toward Use), BI (Behavioural Intention), EV (External Variables) 3. SPSS syntax SPSS_Syntax.docxFull SPSS command syntax used to reproduce all analyses reported in the manuscript, including: descriptive statistics Cronbach’s alpha reliability analysis PCA with Varimax rotation multiple linear regression analyses ANOVA tests residual diagnostics This file ensures full reproducibility of the reported results. 4. Survey instrument Questionnaire_Qualtrics_Survey.pdfFull survey instrument as administered in Qualtrics. Ethics and confidentiality The study was approved by the University of Nottingham Research Ethics Committee. All participants provided informed consent. No personally identifiable information is included in the publicly available dataset. Direct personal identifiers, including IP addresses, were removed prior to publication, and the dataset has been anonymised for public release.