# data[].attributes.body
is it sufficient to just have a theme of positive, negative and in the middle?

# data[].attributes.headline
What does it mean to write theme titles that are more than subtitles?

# data[].attributes.subject
What does it mean to write theme titles that are more than subtitles?

# data[].attributes.headline
What are examples of themes? Is mixed emotions a theme?

# data[].attributes.subject
What are examples of themes? Is mixed emotions a theme?

# data[].attributes.headline
How many overarching themes should we be aiming for?

# data[].attributes.subject
How many overarching themes should we be aiming for?

# data[].attributes.body
A lot of the responses are either positive or negative or in the middle so can these be our 3 main themes?

# data[].attributes.headline
how do we derive themes from the many codes we have?

# data[].attributes.subject
how do we derive themes from the many codes we have?

# data[].attributes.headline
what is the difference between codes and themes, is 'positive view' a theme and 'efficient' is a code?

# data[].attributes.subject
what is the difference between codes and themes, is 'positive view' a theme and 'efficient' is a code?

# data[].attributes.body
What is the best way to choose our themes? Should we pick the ones that are the most common when we coded or the most interesting ones?

# data[].attributes.body
if our codes are 'negative' and 'positive' and then 'sub-codes' as let's say environment or overdependence (as u showed in the zoom lecture), what are we supposed to do with the ones that show mixed opinions. Should we create another broad code like 'mixed opinions/neutral'?

# data[].attributes.body
randomly or the first 40?

# data[].attributes.headline
what was the exact question asked in the survey - to include in methods section of lab report?

# data[].attributes.subject
what was the exact question asked in the survey - to include in methods section of lab report?

# data[].attributes.headline
after inital coding how do u split existing codes into smaller ones

# data[].attributes.subject
after inital coding how do u split existing codes into smaller ones

# data[].attributes.headline
should you code anything that mentions what a specific code is about, or just when participants explicitly mention it in relation to themselves?

# data[].attributes.subject
should you code anything that mentions what a specific code is about, or just when participants explicitly mention it in relation to themselves?

# data[].attributes.body
e.g. if the code is using AI as a 'constant buddy', and a participant mentions how others use it for that, should that be coded there? or would it only be when someone says e.g. 'I use genAI as a constant buddy'

# data[].attributes.body
how can we get help over Easter holidays if something does not work

# data[].attributes.body
Should we / How to separate semantic and latent codes?

# data[].attributes.body
Should everything be coded? How to deal with similar codes but still different?

# data[].attributes.headline
do we write it on a word document we make or will one be provided - like how we get lab report templates for psychological experimentation that we have to use because it has a title page etc

# data[].attributes.subject
do we write it on a word document we make or will one be provided - like how we get lab report templates for psychological experimentation that we have to use because it has a title page etc

# data[].attributes.headline
is there any template for this lab report?

# data[].attributes.subject
is there any template for this lab report?

# data[].attributes.body
Should we adopt an illustrative or an analytic style when writing the lab report?

# data[].attributes.headline
How long should a coded text (chunk) be?

# data[].attributes.subject
How long should a coded text (chunk) be?

# data[].attributes.body
The longer the coded text, the more general the code's idea becomes. The shorter the coded text, the more precise or detailed the code's idea becomes.

Is there a balance here? Or should I code flexibly (sometimes long, sometimes short)?

# data[].attributes.body
Some sentences can be linked to multiple codes (e.g., views, usage, etc.). What should I do about this? Associating it with only one code or multiple codes?

# data[].attributes.headline
Should we focus on the meaning of each individual sentence, or should we take into account the participant's overall view?  e.g., if a participant expresses positive and negative ideas separately, is it better to code these respectively or interpret them as an overall ambivalent stance?

# data[].attributes.subject
Should we focus on the meaning of each individual sentence, or should we take into account the participant's overall view?  e.g., if a participant expresses positive and negative ideas separately, is it better to code these respectively or interpret them as an overall ambivalent stance?

# data[].attributes.headline
what are the maximum codes are we allowed to have and how specific do we have to code them? e.g. participant has mentioned AI is useful in brainstorming three times in their response, is it necessarily to highlight all of them?

# data[].attributes.subject
what are the maximum codes are we allowed to have and how specific do we have to code them? e.g. participant has mentioned AI is useful in brainstorming three times in their response, is it necessarily to highlight all of them?

# data[].attributes.headline
If we pick up on individual words and analyse that is that too close reading?

# data[].attributes.subject
If we pick up on individual words and analyse that is that too close reading?

# data[].attributes.headline
When we quote participants can we write One participant said, "". or must we always only write participants in brackets? 

# data[].attributes.subject
When we quote participants can we write One participant said, "". or must we always only write participants in brackets? 

# data[].attributes.headline
do we mention that we followed grounded theory?

# data[].attributes.subject
do we mention that we followed grounded theory?

# data[].attributes.headline
What does I1 mean in your research paper? P15, I1: Everybody’s been really interested… they’resaying‘oh, that’s cool’. The novelty helps in terms ofthe motivation.

# data[].attributes.subject
What does I1 mean in your research paper? P15, I1: Everybody’s been really interested… they’resaying‘oh, that’s cool’. The novelty helps in terms ofthe motivation.

# data[].attributes.headline
what are clear things that distinguish someone between a high 2:1 and a first?

# data[].attributes.subject
what are clear things that distinguish someone between a high 2:1 and a first?

# data[].attributes.headline
if mixed codes are a theme? should there be codes for that or should we just put their general statement e.g. i have mixed feelings for AI and then code their positive and negative thoughts under 'positive' and 'negative

# data[].attributes.subject
if mixed codes are a theme? should there be codes for that or should we just put their general statement e.g. i have mixed feelings for AI and then code their positive and negative thoughts under 'positive' and 'negative

# data[].attributes.headline
do we have access to the experiment link? 

# data[].attributes.subject
do we have access to the experiment link? 

# data[].attributes.headline
Can you please provide demographic details?

# data[].attributes.subject
Can you please provide demographic details?