Survey example: Vocational School Student survey about curriculum relevance to industry
Create conversational survey example by chatting with AI.
This is an example of an AI survey for vocational school students about the curriculum’s relevance to industry—see and try the example to experience how a conversational survey actually works in practice.
Creating truly effective surveys for curriculum relevance is tough. Manual forms often miss the nuances, leaving you with vague results that don’t reflect what’s really happening for vocational school students or the industries they’re headed for.
At Specific, we build cutting-edge conversational survey tools that specialize in education and industry alignment topics—giving you a new level of insight with less hassle. All the tools and features you’ll see described here are part of the Specific platform.
What is a conversational survey and why AI makes it better for vocational school students
Traditional surveys for understanding how well school curriculums match industry needs are rarely satisfying for creators or students. Too often, respondents skip questions, don’t elaborate, or misunderstand what you’re after—so you end up with incomplete, surface-level answers. That’s the pain point we set out to solve by making each AI survey example truly conversational instead of rigid.
With AI-driven survey generators, you create surveys by simply describing what you want. The AI handles the details, designing natural questions and anticipating where deeper exploration will help you get richer answers. The process is lightning-fast: no more copy-pasting questions, worrying about logic, or slogging through templates that don’t quite fit. Plus, students and educators are much more likely to respond when it actually feels like a chat, not homework.
Manual survey | AI-generated survey |
---|---|
Static forms, little probing | AI asks follow-ups, adapts in real time |
Slow to build, tedious editing | Edit in seconds—just type your changes |
Superficial responses | Deeper conversation, richer insights |
Why use AI for vocational school student surveys?
Relevance: A recent study across eight Indonesian provinces found that curricula and vocational training were well-aligned with industry needs but still showed gaps in practical skills and safety awareness—insights that only surface with deeper, open-ended dialogue. [2][3]
Engagement: AI surveys ask the right follow-ups, making it feel like a human conversation and driving higher student participation and more honest answers. For evidence-based tips, check out best questions for vocational school student surveys about curriculum relevance to industry.
Customization: Survey setup takes moments and can be tailored for different student cohorts, programs, or industry partners with just a few commands.
Data quality: AI keeps the chat natural and explorative—helping surface workplace skills that might be overlooked in traditional checklists.
Specific delivers the best-in-class user experience for conversational surveys. Whether you’re a researcher, teacher, or industry partner, our platform makes the whole process smooth—for survey creators and every responding student. You can learn more about the survey creation flow at how to create vocational school student survey about curriculum relevance to industry, or if you want to create a custom survey about anything else from scratch, see our AI survey generator.
Automatic follow-up questions based on previous reply
The magic of a conversational AI survey example lies in its follow-up questions. At Specific, AI reviews every student’s answer and instantly asks smart follow-ups—just like a seasoned interviewer—based on the previous context. These extra questions save you tons of back-and-forth and help you collect fully contextualized insights, especially where manual forms just collect unclear, one-word responses.
Here’s what can happen without follow-up:
Student: “We learned machine operation.”
AI follow-up: “Can you share a real-world example where you used these machine operation skills during your internship or a project?”
Or consider this scenario:
Student: “Safety training was not useful.”
AI follow-up: “What aspects of the safety training did you find less useful? Were there any topics you wished had been included?”
Without follow-ups, these answers would be vague and hard to act on. Automated AI probing makes every survey feel like a tailored conversation. Try generating your own survey with follow-ups to see this feature in action—it’s a game changer.
These smart follow-ups make the survey a true conversation, not a static form—turning data collection into a dialog that delivers depth and nuance. You can read more at AI follow-up questions and try it for yourself in the live example.
Easy editing, like magic
Editing your curriculum relevance survey is as simple as chatting. Just tell the AI what you want to change—whether it’s tweaking the tone for 2nd-year students or adding a question about a new industry partner. The AI survey editor handles the expert phrasing, smart logic, and every detail instantly. No need to wade through complex survey builders or update skip logic by hand; every change is applied in seconds and reflected in your AI survey example. You can see how it works with more detail in the AI survey editor guide.
Flexible delivery for every curriculum survey
How do you actually get your conversational survey in front of vocational school students? You have two purpose-built options:
Sharable landing page surveys: Create a single link that you can share with students by email or message, post on your school's learning platform, or distribute through an industry partner’s channels. This is perfect for broader student outreach or when you want to collect feedback from graduates and industry partners.
In-product surveys: Embed the survey as a conversational widget directly in your LMS, school app, or an employer’s training tool. This approach guarantees you’re reaching students exactly where they are, in context—especially powerful when evaluating mid-program material or running ongoing feedback loops.
For most curriculum relevance projects, landing page surveys are great for capturing large, mixed-response groups, while in-product surveys shine when you want context-rich responses from active users or apprentices in the field.
Instant AI survey analysis—no spreadsheets needed
Once responses come in, the AI survey analysis engine in Specific does the heavy lifting for you. It automatically summarizes every open-ended student response, identifies key curriculum themes and skill gaps (like safety culture or hands-on practicals), and generates actionable insights. You can even chat directly with the AI about your results—“What do most students say about workplace readiness?”—saving you hours sifting through data. See detailed tips in how to analyze vocational school student curriculum relevance to industry survey responses with AI and learn more about features at AI survey response analysis.
AI survey analysis: Identify patterns and surface curriculum improvement opportunities fast.
Automated survey insights: Group responses by skills, knowledge, and gaps—no manual coding required.
Analyzing survey responses with AI: Direct Q&A with AI for richer understanding and quick reporting.
See this curriculum relevance to industry survey example now
Experience the difference of a truly conversational AI survey—see and try the vocational school student curriculum relevance survey now to unlock better feedback and insight than any manual form could deliver.
Related resources
Sources
ejournal.upi.edu. Study analyzing relevance of vocational high school curricula to industrial needs in Indonesia
eajournals.org. Alignment between vocational training and industry needs across Indonesian provinces
e-journal3.undikma.ac.id. Survey of vocational school student perspectives on curriculum and industry demands