Education & Academic

Measures how confident parents feel about their child's safety, how well the center communicates day-to-day, how warm staff feel toward kids, and whether developmental activities feel age-appropriate. An AI follow-up digs into the specific incident or gap behind any low safety or communication score, surfacing details a rating alone would miss.

Measure behaviors people won't admit directly: the list experiment (item count technique) asks only HOW MANY statements apply — never which — so individual answers stay genuinely deniable while group comparisons reveal the true rate. The native question type randomizes control and treatment lists for you.

A complete consent flow for research studies: plain-language study information, granular consent statements with a comprehension check, signature capture, and contact enrollment. Built for IRB-style requirements — participants confirm they understand, not just that they scrolled.

A true factorial vignette experiment: respondents judge realistic scenarios whose key details (price framing, messenger, wording) rotate systematically, so you can measure how each factor shifts judgment. The built-in vignette question type generates the scenario combinations for you.

A validated self-assessment instrument measuring undergraduate AI literacy across five dimensions: conceptual understanding, practical skills, critical evaluation, ethical reasoning, and awareness of limitations. Estimated completion time: 10-12 minutes.

A research instrument measuring how generative AI tools affect student learning outcomes across learning depth, critical thinking, knowledge retention, and metacognitive awareness. Designed for pre/post and experimental research designs. Estimated completion time: 10–14 minutes.

This survey evaluates student experiences with AI chatbot advising and support services. It measures usage patterns, task types, perceived success rates, satisfaction, trust, comparison to human advisors, and areas for improvement.

This survey assesses instructor preparedness to integrate artificial intelligence into teaching, covering technology proficiency, AI literacy, pedagogical confidence, institutional support, professional development needs, and workload concerns. Estimated completion time: 10 minutes.

A research survey examining how AI tools are reshaping academic integrity norms among college and university students. Covers policy awareness, personal usage patterns, acceptability perceptions, peer behavior observations, and policy recommendations.

An academic research survey exploring faculty attitudes, concerns, and readiness regarding AI-assisted grading and assessment tools. Covers current practices, openness to adoption, concerns about bias/accuracy/privacy, training needs, and willingness to participate in controlled experiments.

An academic instrument measuring student awareness of, exposure to, and attitudes toward artificial intelligence ethics. Covers concept familiarity, training exposure, ethical dilemma responses, regulation views, and willingness to prioritize ethics over convenience. Estimated completion: 8–12 minutes.

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.

Measures how effectively employees apply recent training to their jobs, identifying barriers, enablers, and perceived outcomes to improve learning transfer and training ROI.

Measures 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.

A 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.

Assesses how well current curriculum, resources, and support structures meet learner needs, identifying gaps and priorities to guide program improvements. Designed for enrolled students or active learners in formal or informal educational settings.

Measures 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.

A bi-weekly pulse survey measuring student engagement behaviors, support resource usage, and perceived learning progress. Designed for course instructors and instructional designers seeking actionable insights to improve eLearning and hybrid course experiences.

A parent/guardian survey measuring the clarity, timeliness, and overall effectiveness of K-12 school communications across channels (email, app, text, print). Provides actionable data to improve family engagement and information delivery.

A research-grade survey for K–12 parents and guardians to assess perceived school safety, evaluate communication effectiveness, and identify priorities for prevention investment.