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COVID-19 Distance Learning Experience Survey

Captures how families and students experienced remote and hybrid learning during the coronavirus pandemic — engagement, workload, tech access, and school communication — for education researchers and administrators. An AI follow-up interview digs into the single biggest obstacle a respondent flags, reconstructing what actually happened on a typical remote-learning day.

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샘플 질문

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질문 14개 · 약 7분
Q01
메시지

Thanks for taking a few minutes to reflect on your (or your child's) experience with distance learning during the coronavirus pandemic. Your responses are completely confidential and anonymized. Your honest answers will help schools plan better for the future. About 6-8 minutes.

Q02
객관식필수

Which best describes your role during the period of remote or hybrid learning you're reflecting on?

  • Parent or guardian of a student
  • Student
  • Teacher or school staff
  • Other
Q03
객관식

What grade level(s) were involved? (Select all that apply)

  • Pre-K / Kindergarten
  • Elementary (grades 1-5)
  • Middle school (grades 6-8)
  • High school (grades 9-12)
  • College / university
Q04
의견 척도필수

Overall, how would you rate the distance learning experience during the pandemic?

척도: 1 – 7
최소:Very poor최대:Excellent
Q05
매트릭스필수

How much do you agree with each statement about that period of remote learning?

5개 행 × 5개 열
  • The student stayed engaged with schoolwork
  • The workload felt manageable
  • We had reliable internet and devices
  • Live/video classes felt effective
  • The school communicated clearly about expectations
열: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
객관식필수

What were the biggest challenges during distance learning? (Select up to 3)

  • Staying motivated or focused
  • Unreliable internet or lack of devices
  • Too much unstructured or independent work
  • Difficulty getting help from teachers
  • Balancing schoolwork with home/work responsibilities
  • Feeling isolated from friends or classmates
  • Understanding the material without in-person instruction
Q07
평점 척도필수

How would you rate the school's communication with families during remote learning?

범위: 1 – 5
최소:Very unclear최대:Very clear
Q08
점수 배분

Thinking of a typical remote-learning school day, how did the hours roughly break down? (Should total 100%)

  • Live/video instruction
  • Independent assignments
  • Offline/paper work
  • Breaks or unstructured time
  • Other activities
100점 배분
Q09
최선·최악 선택형(MaxDiff)

If schools face distance learning again, which changes would matter most? Pick the most and least impactful in each set as they appear.

  • More live interaction with teachers
  • Clearer daily schedules and expectations
  • Better tech support and device access
  • Smaller group or one-on-one check-ins
  • More engaging, hands-on assignments
  • Recorded lessons for flexible viewing
  • More frequent family communication
  • Mental health and social check-ins
세트별 최선·최악 선택최선:Would help most최악:Would help least
Q10
숫자

On a typical day during remote learning, about how many hours were spent on schoolwork?

Q11
AI 인터뷰

Identify the single biggest obstacle this respondent selected or implied (e.g., motivation, connectivity, isolation, unclear communication) and reconstruct a specific day or week where it caused real disruption — what happened, who tried to help, and what was or wasn't resolved. If the respondent rated the overall experience highly despite listing challenges, probe what made it work anyway so those factors can be identified as strengths.

Q12
객관식

What is your age range?

  • Under 18
  • 18-24
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q13
객관식

Which region best describes where you live?

  • Urban
  • Suburban
  • Rural
  • Prefer not to say
Q14
메시지

Thank you for sharing your experience! Your responses will be combined with others to help schools and policymakers design better remote and hybrid learning plans for the future.

포함된 기능

  • AI 후속 질문

    정형화된 설문이 놓치는 세부 내용을, 주관식 답변에 맞춰 AI가 심층 질문으로 끌어냅니다.

  • 주의력 확인 장치

    성의 없는 답변과 저품질 응답자를 걸러내는 내장 안전장치입니다.

  • AI가 작성한 문안

    문구, 질문 순서, 분기 로직까지 AI가 연구 목표에 맞춰 작성합니다.

  • 자동 리포트

    응답이 모이면 주요 주제, 인용문, 이해하기 쉬운 요약이 자동으로 작성됩니다.

다른 서비스와 비교

다른 설문 도구의 가장 유사한 템플릿을 검토했습니다. 그 도구들이 잘하는 점과, 이 템플릿이 한발 더 나아가는 지점을 정리했습니다.

이 템플릿을 선택하는 이유

  • Includes an AI follow-up interview that digs into the single biggest obstacle each respondent flags, reconstructing what a typical remote-learning day actually looked like — something static question sets can't do
  • Combines structured measurement (opinion scale, matrix agreement statements, rating of school communication, constant-sum time breakdown, max-diff on future changes) with open-ended probing in one flow
  • Captures concrete behavioral data via a numeric hours-per-day question and a constant-sum day-breakdown, not just satisfaction ratings
  • Covers role, grade level, region, and age range as segmentation fields so researchers/administrators can slice results by respondent type

SurveyMonkey

Distance Learning Survey Template

A standard fielding-ready template covering common distance-learning topics like engagement and access. It's a fixed question set aimed at broad usability rather than deep follow-up. Good for quick baseline benchmarking across a large panel.

잘하는 점

  • Well-known survey platform with broad distribution and panel access
  • Simple, ready-to-field template requiring no setup
  • Likely benefits from SurveyMonkey's established survey logic and reporting tools

아쉬운 점

  • Static question list with no adaptive follow-up to explore what actually happened on a given day
  • No mechanism to reconstruct the specific obstacle a respondent experienced
  • No published methodology on how questions were validated for this topic

SurveySparrow

Distance Learning Check-in Bot Template

Framed as a conversational 'check-in bot,' this is closer to a chat-style form than a true adaptive interview — it likely follows a scripted conversational flow rather than reasoning about each respondent's specific answer. Useful for quick, friendly check-ins rather than deep obstacle diagnosis.

잘하는 점

  • Conversational chat-style format may feel more approachable than a traditional form
  • Framed specifically for recurring check-ins, suggesting ease of repeated use
  • Part of a broader chatbot-survey product with mobile-friendly delivery

아쉬운 점

  • Chatbot flow is scripted, not an AI-driven adaptive follow-up that reasons about the specific obstacle each respondent names
  • No indication of automated per-response quality scoring or transparent prompt methodology
  • Not designed to reconstruct a detailed timeline of a typical remote-learning day

Jotform

Distance Learning Survey Form Template

A customizable static form builder template covering distance-learning topics, good for quick deployment and easy editing. It relies on fixed fields and branching logic rather than dynamic AI-driven questioning. Best suited for simple data collection rather than deep qualitative exploration.

잘하는 점

  • Highly customizable form builder with drag-and-drop editing
  • Easy integration with Jotform's broader forms ecosystem (payments, notifications, etc.)
  • Fast to deploy for basic data collection needs

아쉬운 점

  • No adaptive AI interview to probe the specific challenge a respondent selected
  • Static form fields only — no voice interview option or guided screen-share tasks
  • No automated quality scoring of open-ended responses

QuestionPro

Distance learning survey template for teachers

A teacher-focused static template, narrower in audience than a general family/student distance-learning survey. It offers standard question types for gauging teacher experience but no dynamic follow-up. Useful primarily if the research focus is specifically teacher perspective rather than families or students broadly.

잘하는 점

  • Audience-specific focus on teachers, which may yield more targeted questions for that group
  • Backed by QuestionPro's established survey analytics and reporting suite
  • Ready-to-use template requiring minimal setup

아쉬운 점

  • Fixed question set with no adaptive AI follow-up to explore the biggest obstacle a teacher reports
  • No voice interview or guided screen-share task options
  • Narrower audience focus (teachers only) versus surveys designed to capture family/student experience broadly

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