A.Kardiakou - Qualitative Methodology 24.03

A.Kardiakou

LET Learning Journals

Qualitative Research Methodology

Qualitative Methodology - 24.03

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Navigating: Qualitative Research Methodology

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AI-assisted methods in Qualitative Research

Research = a scientific way to understand phenomena
It is basically how you see, explain and model the world, the origin is from natural sciences e.g physics

The three main genres at a high level is:

1) Theoretical

2) Methodological

3) Practical

The typical research process is event -> data -> construct

where a construct is an interpretation of something that is difficult to be "caught"

e.g when a student is in the monitoring stage of their SR

The problem is that the construct is too objective, it is tied to our perception, so it is important to understand the philosophy and our bias

How to analyze the data that you collect?

Its about exploratory

Most data is in textual format

-> you transcribe it -> you code it (estimate the constructs) -> you see themes based on the construct

This is an iterative process

The key is to look for common patterns that are generilizable

Multimodal interaction analysis

There are two ways to do the coding process:

Top-down: you have theoretical proof and you apply it to analyze the phenomena and you base your coding on that

Bottom-up (not much popular): you dont have any theory in mind, yuo collect a lot of data and analyze those ones to come up with what you see in your data (data-driven approach)

AI-Enhanced Methods

Human-AI collaboration in research

-> Transcription: before AI, a 15min audio would take ~2 hours without timestamps, also problems with accuracy |

In education the timestamps are important because its valid info when you are trying to understand the learning process of a human, latency is important

-> Analysis: extracting characteristics and detecting micro-behaviors e.g learner's attention

Belief and behavior

Most people in education believe that training a belief will cause the training of behavior.

But in psychology and neuroscience it is the opposite way around.