Are you currently enrolled as a student at a college or university?
- Yes
- No
An academic research survey examining how college and university students perceive and use AI writing tools such as ChatGPT, Copilot, and similar technologies. The survey covers usage patterns, perceived benefits and dependency concerns, academic integrity perspectives, quality comparisons, and instructor communication about AI policies.
A preview of what’s in the template. Every question is editable before you launch.
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Built-in safeguards against rushed answers and low-quality respondents.
Wording, ordering, and branching written by the AI — tuned to your research goal.
Themes, quotes, and a plain-English summary write themselves once responses come in.
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
This is a generic academic research form template rather than one built around AI writing tools or student attitudes specifically — researchers would need to write all the topic-specific questions themselves. It offers Typeform's conversational one-question-at-a-time interface, which is pleasant for respondents but functions as a static form once published. Useful as a generic starting shell, not as a ready-to-field survey on this topic.
Open this template in the editor. Every part is yours to change before the first respondent sees it.
More studies from the same category.
Measures how effectively employees apply recent training to their jobs, identifying barriers, enablers, and perceived outcomes to improve learning transfer and training ROI.
View templateMeasures student satisfaction, instructional quality, curriculum relevance, and near-term learning transfer for fintech courses. Designed for course administrators and instructional designers seeking actionable improvement data.
View templateA structured instrument for school and district leaders to quantify educator administrative burden, identify top time sinks, and assess readiness for workflow automation. Designed for K–12 teaching staff and instructional support roles.
View templateMeasures research participants' preferences for study session length, break scheduling, and compensation structures. Designed for academic and UX researchers optimizing study design for participant comfort and data quality.
View templateA research-grade survey for K–12 parents and guardians to assess perceived school safety, evaluate communication effectiveness, and identify priorities for prevention investment.
View templateA structured instrument for expert reviewers to evaluate the clarity, completeness, and pre-specification quality of a pre-analysis plan or preregistration draft before data collection begins.
View template