First draft of PhD interview presentation
This commit is contained in:
parent
3c4ab6a838
commit
e4d4278a16
2 changed files with 119 additions and 95 deletions
|
|
@ -659,6 +659,16 @@ learners are different, and (b) that they change as they learn. But},
|
||||||
url = {http://misq.org/perceived-usefulness-perceived-ease-of-use-and-user-acceptance-of-information-technology.html},
|
url = {http://misq.org/perceived-usefulness-perceived-ease-of-use-and-user-acceptance-of-information-technology.html},
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@article{likert1932,
|
||||||
|
title = {A Technique for the Measurement of Attitudes},
|
||||||
|
author = {Likert, Rensis},
|
||||||
|
journal = {Archives of Psychology},
|
||||||
|
year = {1932},
|
||||||
|
volume = {140},
|
||||||
|
pages = {1--55},
|
||||||
|
url = {https://psycnet.apa.org/record/1933-01885-001}
|
||||||
|
}
|
||||||
|
|
||||||
@Book{Coe2025,
|
@Book{Coe2025,
|
||||||
editor = {Robert Coe and Michael Waring and Larry Hedges and Laura Day Ashley},
|
editor = {Robert Coe and Michael Waring and Larry Hedges and Laura Day Ashley},
|
||||||
publisher = {SAGE Publications},
|
publisher = {SAGE Publications},
|
||||||
|
|
|
||||||
204
slides.tex
204
slides.tex
|
|
@ -166,109 +166,123 @@
|
||||||
|
|
||||||
\section{How I plan to address this space}
|
\section{How I plan to address this space}
|
||||||
|
|
||||||
\begin{frame}
|
%\begin{frame}
|
||||||
\frametitle{How am I addressing the gap}
|
% \frametitle{How am I addressing the gap}
|
||||||
\todo{Talk about Gidget and offer scaffolding tools, then talk about how we
|
% \todo{Talk about Gidget and offer scaffolding tools, then talk about how we
|
||||||
can create a tool to aid intervention}
|
% can create a tool to aid intervention}
|
||||||
I plan to create an intervention wherein I give students access to an AI tool
|
% I plan to create an intervention wherein I give students access to an AI tool
|
||||||
that takes elements from previous interventions that align with the principles
|
% that takes elements from previous interventions that align with the principles
|
||||||
of improving self-efficacy in students, and combine it with more recent
|
% of improving self-efficacy in students, and combine it with more recent
|
||||||
breakthroughs in LLM based technologies to allow the intervention to be used
|
% breakthroughs in LLM based technologies to allow the intervention to be used
|
||||||
in a wider variety of programming environments and contexts.
|
% in a wider variety of programming environments and contexts.
|
||||||
|
%
|
||||||
|
% I then plan to evaluate its impact on self-efficacy and potentially other
|
||||||
|
% outcomes. \todo{Figure out what those outcomes are.}
|
||||||
|
%\end{frame}
|
||||||
|
|
||||||
I then plan to evaluate its impact on self-efficacy and potentially other
|
%\begin{frame}
|
||||||
outcomes. \todo{Figure out what those outcomes are.}
|
% \frametitle{The Intervention}
|
||||||
\end{frame}
|
% \todo{Talk about methodology and the type of intervention that's taking place.
|
||||||
|
% Why this method over other methods etc}
|
||||||
|
%
|
||||||
|
% This artefact attempts to replicate the channels of self-efficacy improvement
|
||||||
|
% that one on one support from an instructor, by targeting these factors in
|
||||||
|
% Bandura's theory \todo{cite}:
|
||||||
|
%\begin{itemize}
|
||||||
|
% \item Mastery experiences (Experiencing more success in coding tasks).
|
||||||
|
% \item Verbal encouragement.
|
||||||
|
% \item Guided support.
|
||||||
|
%\end{itemize}
|
||||||
|
% \todo{Check the previous itemisation isn't mistaken}
|
||||||
|
%
|
||||||
|
% The agent will use techniques such as personification \todo{cite gidget} and
|
||||||
|
% an AI models ability to translate errors into more accessible descriptions
|
||||||
|
% replicate an instructors ability to help a student understand knowledge they
|
||||||
|
% may be missing in terms of the language of a compiler. The model will also
|
||||||
|
% focus on guiding the student towards the solution in a structured manner such
|
||||||
|
% as in \todo{cite structured debugging intervention paper}.
|
||||||
|
%
|
||||||
|
% The goal with this artefact is to as closely as possible replicate the
|
||||||
|
% experience and self-efficacy improvements that come with 1 on 1 tuition
|
||||||
|
% \todo{cite}, so that these benefits can be scaled up. And help seeking
|
||||||
|
% behaviours be made more available.
|
||||||
|
%\end{frame}
|
||||||
|
|
||||||
\begin{frame}
|
\begin{frame}
|
||||||
\frametitle{The Intervention}
|
\frametitle{The Intervention}
|
||||||
\todo{Talk about methodology and the type of intervention that's taking place.
|
I plan to create an artefact that uses scaffolding and personification in an
|
||||||
Why this method over other methods etc}
|
attempt to improve students self-efficacy \cite{Bandura1977} and reduce
|
||||||
|
cognitive load \cite{Sweller1988}.
|
||||||
|
\newline
|
||||||
|
|
||||||
This artefact attempts to replicate the channels of self-efficacy improvement
|
This will be done by walking a student through any issues a
|
||||||
that one on one support from an instructor, by targeting these factors in
|
real programming environment can throw at them with the use of an AI agent
|
||||||
Bandura's theory \todo{cite}:
|
based avatar, which will break down the process of solving debugging issues in
|
||||||
|
their own real world programming environment.
|
||||||
|
\end{frame}
|
||||||
|
|
||||||
|
\begin{frame}
|
||||||
|
\frametitle{Methodology}
|
||||||
|
Due to the nature of using a software tool to improve outcomes, an
|
||||||
|
intervention based experiment becomes necessary \cite[p.~242]{Coe2025}. The
|
||||||
|
projects' reliance on AI should also adhere to guidelines such as
|
||||||
|
CONSORT-AI \cite{Liu2020} in order to remain reproducible and transparent.
|
||||||
|
\newline
|
||||||
|
|
||||||
|
If ethical issues surrounding the withholding of resources from some students
|
||||||
|
that were made available to others even at random wasn't a worry, a random
|
||||||
|
selection of student participants would be the best approach to reduce bias
|
||||||
|
\cite[p.~245]{Coe2025}.
|
||||||
|
\newline
|
||||||
|
|
||||||
|
To counter this issue will I will be measuring results from a cohort before
|
||||||
|
the intervention has been fully developed and comparing results to a cohort
|
||||||
|
that has then since gained access to the artefact in a longitudinal study
|
||||||
|
\cite[p.~224]{Coe2025}.
|
||||||
|
\begin{itemize}
|
||||||
|
\item Cohort A -- Pre-intervention Cohort
|
||||||
|
\item Cohort B -- intervention Cohort
|
||||||
|
\end{itemize}
|
||||||
|
\end{frame}
|
||||||
|
|
||||||
|
\begin{frame}
|
||||||
|
\frametitle{Data Collection}
|
||||||
|
%TODO come back to this
|
||||||
|
Self-efficacy is a psychological self-perception and as such must be collected
|
||||||
|
from communicating with the participants.
|
||||||
|
\newline
|
||||||
|
|
||||||
|
There are however several methods we can use to quantify qualitative data
|
||||||
|
through tools like Likert scales \cite{likert1932} and thematic analysis
|
||||||
|
\cite{Braun2006} of feedback.
|
||||||
|
\newline
|
||||||
|
|
||||||
|
Both of these methods require careful planning to avoid the influence of bias.
|
||||||
|
I've interacted with them before in papers I've contributed to in the past
|
||||||
|
\cite{Mitchell2021, Mitchell2022}, and I am confident in the GA's ability to
|
||||||
|
guide me through the process of making sure I collect this data correctly.
|
||||||
|
\end{frame}
|
||||||
|
|
||||||
|
\section{Technology stacks and ethical considerations}
|
||||||
|
|
||||||
|
%\begin{frame}
|
||||||
|
% \frametitle{Key challenges in the study}
|
||||||
|
%\end{frame}
|
||||||
|
|
||||||
|
\begin{frame}
|
||||||
|
\frametitle{AI Ethical Concerns}
|
||||||
|
This research immediately falls into at least medium risk in Falmouth
|
||||||
|
University's ethics policy as it involves human participants. Due to the
|
||||||
|
nature of interacting with generative AI addition measures will be necessary.
|
||||||
\begin{itemize}
|
\begin{itemize}
|
||||||
\item Mastery experiences (Experiencing more success in coding tasks).
|
\item We should avoid giving AI access to children and vulnerable people.
|
||||||
\item Verbal encouragement.
|
\item We should make sure to use ethically trained AI models where possible.
|
||||||
\item Guided support.
|
\item Furthermore, we should follow CONSORT-AI \cite{Liu2020} to keep this
|
||||||
\end{itemize}
|
research transparent and reproducible.
|
||||||
\todo{Check the previous itemisation isn't mistaken}
|
|
||||||
|
|
||||||
The agent will use techniques such as personification \todo{cite gidget} and
|
|
||||||
an AI models ability to translate errors into more accessible descriptions
|
|
||||||
replicate an instructors ability to help a student understand knowledge they
|
|
||||||
may be missing in terms of the language of a compiler. The model will also
|
|
||||||
focus on guiding the student towards the solution in a structured manner such
|
|
||||||
as in \todo{cite structured debugging intervention paper}.
|
|
||||||
|
|
||||||
The goal with this artefact is to as closely as possible replicate the
|
|
||||||
experience and self-efficacy improvements that come with 1 on 1 tuition
|
|
||||||
\todo{cite}, so that these benefits can be scaled up. And help seeking
|
|
||||||
behaviours be made more available.
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
\begin{frame}
|
|
||||||
\frametitle{Key influences in this field and area of research.}
|
|
||||||
\todo{Talk about the psychology and mikes previous paper bandura. gidget and
|
|
||||||
some scaffolding intervention if it's not all covered in the previous slide}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
\begin{frame}
|
|
||||||
\frametitle{What is the variable. What does better look like}
|
|
||||||
\todo{what research methods will analyse this}
|
|
||||||
\todo{Students drop out less, produce higher quality code? What do other
|
|
||||||
interventionist studies look at?}
|
|
||||||
\todo{There are a few outcomes we can try to measure. We can use likart style
|
|
||||||
surveys and attempt pre-post intervention comparisons}
|
|
||||||
|
|
||||||
The study plans to measure changes in the students self-efficacy and their
|
|
||||||
self perception of their coding ability before and after intervention.
|
|
||||||
|
|
||||||
The study falls into an educational intervention style methodology for which
|
|
||||||
the best style of study in regard to bias is usually random
|
|
||||||
assignment \todo{cite research methods and methodologies in education}.
|
|
||||||
However, due to the ethical concerns of depriving only part of a cohort of a
|
|
||||||
tool that may be beneficial to them without an alternative equally powerful
|
|
||||||
tool as an alternative, a longitudinal year of entry based cohort study could
|
|
||||||
be used as an alternative, albeit with a higher potential for bias.\todo{cite
|
|
||||||
research methods and methodologies in education different page}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
\section{Challenges and ethical considerations}
|
|
||||||
|
|
||||||
\begin{frame}
|
|
||||||
\frametitle{Key challenges in the study}
|
|
||||||
\todo{Talk about the time to develop the software and more about the study
|
|
||||||
structure and issues with pedagogical research in general}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
\begin{frame}
|
|
||||||
\frametitle{main ethical concerns}
|
|
||||||
|
|
||||||
\begin{itemize}
|
|
||||||
\item \todo{This research should be limited to adults as gen ai and children = bad.}
|
|
||||||
\item \todo{Making the AI friendlier and having it say something outside my control}
|
|
||||||
\item \todo{Mention potential for bias in the current data collection}
|
|
||||||
\todo{Ethical AI models should be a requirement}
|
|
||||||
\end{itemize}
|
\end{itemize}
|
||||||
|
|
||||||
\end{frame}
|
\end{frame}
|
||||||
|
|
||||||
\begin{frame}
|
|
||||||
\frametitle{Key challenges in this area}
|
|
||||||
\begin{itemize}
|
|
||||||
\item \todo{First stage programming generally has a high drop out rate because
|
|
||||||
overcoming programming problems can be distressing without a degree of
|
|
||||||
self-efficacy.}
|
|
||||||
\item \todo{Having a guide help students learn through the process one on one
|
|
||||||
is a time intensive process for staff and fairly cost inefficient in terms
|
|
||||||
of time spent with educators.}
|
|
||||||
\item \todo{This tool is also an attempt to scale the amount of human support
|
|
||||||
a student can receive, outside the classroom}
|
|
||||||
\end{itemize}
|
|
||||||
\end{frame}
|
|
||||||
|
|
||||||
\section{Me, My Skills, And why I want to study at Falmouth University}
|
\section{Me, My Skills, And why I want to study at Falmouth University}
|
||||||
% 1 4 9? 10?
|
% 1 4 9? 10?
|
||||||
|
|
||||||
|
|
@ -294,9 +308,9 @@
|
||||||
Falmouth University previously:
|
Falmouth University previously:
|
||||||
\begin{itemize}
|
\begin{itemize}
|
||||||
\item Student Perspectives on the Purpose of Peer Evaluation During Group
|
\item Student Perspectives on the Purpose of Peer Evaluation During Group
|
||||||
Game Development Projects \cite{Mitchell2021}
|
Game Development Projects \cite{Mitchell2021}.
|
||||||
\item An Exploratory Analysis of Student Experiences with Peer Evaluation in
|
\item An Exploratory Analysis of Student Experiences with Peer Evaluation in
|
||||||
Group Game Development Projects \cite{Mitchell2022}
|
Group Game Development Projects \cite{Mitchell2022}.
|
||||||
\end{itemize}
|
\end{itemize}
|
||||||
\end{frame}
|
\end{frame}
|
||||||
|
|
||||||
|
|
|
||||||
Loading…
Reference in a new issue