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. 2021 Dec 16;20(1):100562. doi: 10.1016/j.ijme.2021.100562

Table 1.

Dissembling qualitative data.

Respondent Code 1 Code 2 Code 3 Code 4
R1 Not insightful Poor demonstration of course overview No relatable content
R2 Cannot concentrate Cannot understand
R3 Inexperienced in attending online sessions Tutor lacks subjective knowledge
R4 Slow paced learning modules Need creativity from instructors Tutor lacks domain expertise
R5 No affirmative response Haphazard course organization
R6 Slow explanation No rewards except certificates
R7 One-way interaction Need practical examples
R8 Unfamiliar with online sessions
R9 Inadequate explanation on concepts
R10 Less interaction between instructor and learner Mock exercises required
R11 Assessment procedures not updated No perks except certificate
R12 Less number of projects
R13 Lengthy session Unwanted quizzes Less examples
R14 Not adaptable Poor teaching style Inefficient communication
R15 No constant motivation Lack of enthusiasm
R16 Need real examples Monotony
R17 Prerecorded videos No doubt clearing session No live interaction
R18 Unrecognizable accent of teacher Poor study material
R19 No subtitles available Unrecognizable accent of professor
R20 No personal interaction Inflexible session Boring presentations
R21 Lengthy questions Irrelevant discussions Too many assessments Lengthy discussions
R22 Boring lectures Course completion deadline Few examples
R23 Software not provided
R24 Less interaction Boring lectures
R25 Lengthy lectures Poor visual content Immature case studies Zero practical exposure
R26 Bad teaching pattern Difficult to understand
R27 No scope for doubt clearing No FAQs at session end
R28 No real time lecture Unnecessary information
R29 Difficult to understand interface
R30 Need more examples Courses don't help to get jobs
R31 Many numerical problems Need multiple choice questions
R32 Less interaction
R33 Need new examples Uninterested backgrounds
R34 Non-flexible sessions Tutor lacks theoretical foundation
R35 Monotonous lectures Lectures not interesting Unappealing visual information No engaging topics
R36 Unfamiliar user interface
R37 Inefficient explanation Need new examples unreliable
information
R38 Complex topics Lengthy lectures
R39 Tough to follow lectures Heavy usage of jargons

Note: Factors inducing drop out of Coursera courses are coded from qualitative responses.