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Research method

Semi-Structured Interview

A semi-structured interview follows a topic guide but lets the interviewee steer examples, contradictions and silences. Transcripts are coded for themes, not averaged like Likert totals and not assigned like experimental conditions. Small interview sets can explain how loneliness, lockdown teaching or blended belonging felt; they cannot estimate how common those feelings are or prove that a named pedagogy caused them.

Engagement papers reach for interviews when surveys would flatten motive, stigma or the gap between teacher and student accounts. They answer 'how did these people narrate the situation?' Their main limitation is sampling: nine disabled online students, a 13% engineering response plus follow-up interviews, or 57 wellbeing volunteers are depth, not prevalence.

Studies

9

Findings

6

6 supporting · 0 challenging · 0 qualifying citations

Open tensions

2

Currently

What we know

  1. Nine online students with disabilities described loneliness and social connectedness. Self-paced asynchronous study could reduce stigma but also produce loneliness; difficulties were linked to misunderstanding of disability. Informal activities, events and staff dialogue were proposed as supports. Nine interviews cannot estimate prevalence or prove which supports causally reduce loneliness.
  2. French university students and staff sat long interviews (January–April 2021) about lockdown online teaching. Arrival motives (default, status, professionalisation) shaped the experience; when spatial routines, interaction and recognition disappeared, disadvantaged students especially lost motivation. Individual resilience strategies rarely restored engagement; social recognition, care and some restored institutional structure did more. This is a lockdown case study, not a causal test of a named online pedagogy.
  3. Fifty-seven London undergraduates from modules that already included wellbeing elements (Psychology, English, Nursing, International Politics, War Studies; four nursing students piloted) produced three interview/focus-group themes: embedding wellbeing content; assessment, challenge and academic support; and social connection. Students welcomed scaffolded challenge and emphasised staff and peer relationships. Modules were not a controlled wellbeing trial; mental-health diagnoses were not measured.
  4. A case study of three blended courses combined observations, LMS documents and teacher/student interviews on sense of community. Flipped strategies and presence-related activities supported belonging, but teachers and students sometimes disagreed on which activities mattered most and what was missing. Three convenience courses cannot estimate how common the practices are.
  5. Engineering students were surveyed about sudden online migration (about 13% of the college population responded, mostly undergraduates) and then students and highly voted instructors were interviewed. Reactions mixed excitement with stress; thematic analyses identified valued practices and challenges, arguing that technology must be paired with pedagogy in crises. Voluntary response in one college cannot prove which tools maximise learning.

Largest unresolved question

Whether 'students adapted' is the story depends on whose interviews you read. Emergency-remote interviewees gradually adjusted after an unsatisfactory start. French lockdown interviews found that individual resilience rarely restored engagement, especially for disadvantaged students, until recognition and some institutional structure returned. Those are different samples and different claims about what repair looks like.

Procedure

How it works

The main stages of the method. Specific protocols and analysis choices vary between studies.

  1. Write a topic guide

    The researcher lists themes to cover — loneliness, lockdown teaching, blended belonging, training feasibility — without fixing every wording. The guide is a prompt, not a questionnaire.

  2. Let the interviewee steer examples

    Follow-up questions chase contradictions, silences, and examples the speaker raises. That flexibility is the method; it is also why transcripts cannot be averaged like Likert totals.

  3. Record and transcribe

    Speech becomes text. What is later coded is this conversation, under this relationship and this moment, not a complete account of the course.

  4. Code for themes

    Transcripts are grouped into themes, sometimes compared across teachers and students. Small interview sets explain how a situation was narrated; they do not estimate how common those feelings are.

  5. Treat the transcript as narration, not prevalence

    Interviews answer how these people narrated the situation. Nine disabled online students, a thin engineering follow-up, or volunteers judging a training feasible are depth, not a prevalence estimate and not proof that a named pedagogy caused the feeling.

Common misconceptions

  • Nine detailed interviews tell you how common loneliness is among disabled online students.

    They show how those nine people linked stigma, misunderstanding and asynchronous study to loneliness. Prevalence and which supports work would need different designs.

  • If interviewees praise a training or a blended activity, the pedagogy has been shown to work.

    EQUIP participants judged feasibility and usefulness; the study does not quantify client outcomes or beat a control curriculum. Three blended-course interviews cannot prove sense-of-community causes achievement.

  • Students and teachers interviewed about the same course will agree on what engaged them.

    In the three blended courses, teachers and students sometimes differed on which activities mattered most for sense of community and what was missing.

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