The impact of ai on student’s self- learing process môn English Studies| Trường Đại học Thăng Long

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Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu
MINISTRY OF EDUCATION AND TRAINING THANG LONG UNIVERSITY RESEARCH PROPOSAL
THE IMPACT OF AI ON STUDENT’S SELF- LEARING PROCESS Student: Phạm Thị Ngân Student ID: A43721 Supervisor: Mai Lan Hanoi, September 2024 20:25, 09/01/2026
Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu TABLE OF CONTENTS
CHAPTER 1: INTRODUCTION...................................................................................1
1.1.Research purposes:................................................................................................1
1.2. Research question :...............................................................................................1
CHAPTER 2 : LITERATURE REVIEW......................................................................1
2.1. Theorerical framework :......................................................................................2
2.1.1. Introduction to AI in Education.......................................................................2
2.1.2. Self-Regulated Learning (SRL)........................................................................2
2.1.3. Impact of AI Tools on Self-Learning...............................................................2
2.1.4. Strategies for Effective Utilization of AI Tools................................................2
2.2. Previous studies :..................................................................................................2
CHAPTER 3 : METHODOLOGY.................................................................................4
3.1. Research design :..................................................................................................4
3.2. Sampling & population :......................................................................................4
3.3. Research instruments :.........................................................................................5
3.4. Research procedures :..........................................................................................6 20:25, 09/01/2026
Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu CHAPTER 1: INTRODUCTION 1.1.Research purposes:
The aim of this study is to explore how specific AI tools contribute to enhancing
student’s self-learning strategies. Another objective of this research is to explore how
different AI features can be integrated into self-directed learning environments to support
student engagement, motivation, and mastery of content throughout their learning
journey. Finally, the study seeks to identify which tools are beneficial for helping
students learn better through AI.
1.2. Research question :
To align with the purpose stated earlier, this study will focus on answering the following research questions :
1.How do specific AI tools enhance the self-learning strategies of students ?
2.What are the best ways of using AI tools to make self-learning most efficient?
3.What features of AI tools do students find most beneficial for enhancing their self- learning?
CHAPTER 2 : LITERATURE REVIEW
This chapter discusses the literature that relates to the study. It consists of some major
sections. The first section introduces AI in education. The second section focuses on the
significance of self-regulated learning (SRL) in educational contexts and its impact on
student success. The following sections will explore how AI tools can be integrated into
educational practices in terms of advantages and disadvantages. Finally, strategies for the
effective integration of AI tools into educational settings will be presented, aiming to
enhance self-regulated learning and improve overall learning outcomes. 1 20:25, 09/01/2026
Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu
2.1. Theorerical framework :
2.1.1. Introduction to AI in Education
2.1.2. Self-Regulated Learning (SRL)
2.1.3. Impact of AI Tools on Self-Learning
2.1.4. Strategies for Effective Utilization of AI Tools 2.2. Previous studies :
In the current 4.0 era, AI has become one of the most effective tools for learning,
working, and searching for any information. Additionally, it is being applied by students
in their learning processes, leading to numerous studies primarily focused on the impacts
of integrating AI into the education system. The following sections of this research will
analyze the benefits as well as the drawbacks it brings, in relation to students' academic performance.
A study was conducted by Jin et al. (2023) pointed out that recent developments in
artificial intelligence (AI) applications hold great promise in effectively supporting
learners' self-regulation in learning (SRL). AI-based applications assist students in
understanding content, identifying core concepts, and implementing learning strategies,
while also shortening the overall learning time. However, these tools can potentially
diminish students' focus or limit their creativity. In a study using the "speed dating"
method combined with storyboards, most participating students agreed on the positive
impact of integrating AI into SRL.
In 2023, Slimi found that AI enhances learning experiences by easing obtain of new
information. AI 7 practices more advanced learning styles and teaching techniques,
providing various methods, including autonomous learning, visual learning, deep
learning, etc., encouraging independent studying and making the overall process much
faster. According to the results of the questionnaire majority of participants consider AI
to be a better tool for learning, with 43 percent and 15 percent answering, “strongly agree” and “agree”.
One big reason AI tools matter in education is their capacity to create customised
learning experiences that cater to specific needs of individual students. This move away
from traditional to AI-enabled teaching methodologies not only boosted student 2 20:25, 09/01/2026
Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu
engagement but also increased learning outputs. AI applications function as virtual
assistants who can guide you and introduce extra resources and practice questions. The
study reveals 88% of the respondents strongly agreed that AI helps in their learning (Pratama et al., 2023).
In the article by Utkirov, A. (2024), the impacts of AI chatbots, particularly OpenAI's
ChatGPT, are examined. Through a literature review of sources such as PubMed,
Emerald, and Google Scholar, the study identifies both the benefits and risks of
integrating ChatGPT into education. The findings indicate that AI enhances student
learning and skill development, allowing educators to focus on delivering high-quality
instruction. The research employs constructivist, socio-cultural, and cognitive learning
theories to analyze the role of AI in promoting active learning and creating personalized
learning environments. Ultimately, the study advocates for balanced regulatory measures
and the responsible use of AI in education to maximize benefits.
In addition to that, despite the numerous advantages of AI in educational settings,
thereare also inaccuracy, integrity, and reliability concerns. Most of the AI-powered
applications were trained on a large amount of data, and the results offered answers can
be biased or even false. Moreover, those answers are based on pre-assembled data,
which jeopardizes queries on current events by incorrect or outdated answers (Gill et al., 2024).
To sum up, the impact of artificial intelligence (AI) on self-learning is increasingly
recognized, showcasing numerous advantages such as its ability to tailor educational
experiences to individual needs and streamline access to new knowledge. This
adaptability makes AI a highly effective learning tool, as reported by many students who
appreciate its role in enhancing their educational journeys. However, the integration of AI
in education is not without challenges; concerns regarding ethical implications, the
accuracy of information provided, and the potential for outdated data persist.
Moreover, while AI systems can offer personalized learning pathways and support, they
often fall short of fully delivering on these promises. Many existing applications may not
sufficiently guide learners or adapt to their evolving needs, suggesting that there is
significant room for improvement. Addressing these gaps could further enhance the 3 20:25, 09/01/2026
Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu
effectiveness of AI in fostering self-directed learning, ultimately leading to more enriched educational experiences. CHAPTER 3 : METHODOLOGY 3.1. Research design :
To achieve the objectives of this study a mixed-methods research design to explore the
impact of specific AI tools on enhancing students' self-learning strategies. The
quantitative component will utilize a quasi-experimental pre-post test design to assess
changes in students' self-learning skills and attitudes before and after the implementation
of AI tools. A structured questionnaire will be administered to a sample of students prior
to their engagement with the AI tools to establish baseline data. The same questionnaire
will be administered again after the intervention to measure any improvements.
In addition to the quantitative analysis, the qualitative component will involve semi-
structured interviews or focus groups with a subset of participants. This will provide
deeper insights into students' experiences with the AI tools, allowing for the exploration
of how these tools influence their learning strategies, what features they find most
beneficial, and the best practices for using these tools effectively.
The integration of both quantitative and qualitative data will enable a comprehensive
understanding of the impact of AI on self-learning strategies, facilitating triangulation of
results and enhancing the validity of the findings. This approach will ultimately inform
educators and stakeholders on the effectiveness of AI tools in supporting student learning.
3.2. Sampling & population :
Participants in this study will consist of 40 students in Thang Long university who utilize
specific AI tools in their learning processes. A convenience sampling technique will be
employed to select participants from various academic disciplines within the university.
The sample will be divided into two groups: an experimental group of 20 students who
will use the AI tools and a control group of 20 students who will not use these tools.
Before the implementation of the AI tools, both groups will complete a pre-test using a
structured questionnaire to measure their self-learning skills and attitudes. After the 4 20:25, 09/01/2026
Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu
intervention, the same questionnaire will be administered again to both groups to assess
any improvements in their skills and attitudes.
In addition to the quantitative analysis, a subset of 5-10 participants from the
experimental group will be selected for semi-structured interviews. This subgroup will be
chosen based on their engagement with the AI tools, allowing for deeper insights into
their experiences, perceptions of the tools' effectiveness, and best practices for usage.
This approach will provide a comprehensive understanding of the impact of AI on self-
learning strategies among students.
3.3. Research instruments :
In this research, we will utilize a structured questionnaire as the primary tool to assess
students' self-learning skills and attitudes. The questionnaire will be administered to both
the experimental and control groups at two distinct points: prior to the introduction of AI
tools and after their implementation.
This instrument will include a variety of questions focused on essential components of
self-learning, such as setting personal goals, managing resources effectively, and
fostering intrinsic motivation. Responses will be captured using a scale that allows
participants to express their level of agreement or satisfaction with various statements
related to their self-learning capabilities.
Additionally, to enrich our understanding, we will conduct semi-structured interviews
with a smaller group of 5-10 participants from the experimental group. These interviews
will aim to explore their personal experiences with the AI tools, examining the specific
ways these tools have influenced their learning processes and which features they find most beneficial.
The quantitative data obtained from the questionnaires will be analyzed using descriptive
statistics, including means and percentages, to determine if there have been significant
changes in students' skills and attitudes post-intervention. By comparing the scores from
the pre-test and post-test, we hope to draw conclusions about the effectiveness of the AI
tools. The qualitative insights gathered from the interviews will provide a deeper context
to the quantitative findings, offering a comprehensive view of the impact of AI on
students' self-learning strategies. 5 20:25, 09/01/2026
Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu
3.4. Research procedures :
Firstly, all participants in both the experimental and control groups will complete a pre-
test questionnaire designed to assess their existing self-learning skills and attitudes toward self-directed learning.
Secondly, the experimental group will engage with specific AI tools over a
predetermined period. This phase will last for four weeks, during which students will
utilize the AI tools in their study routines, incorporating them into various learning
activities aimed at enhancing self-learning strategies.
Thirdly, after the implementation of the AI tools, both groups will take a post-test using
the same questionnaire administered during the pre-test. This post-test will evaluate any
improvements in self-learning skills and shifts in attitudes toward the effectiveness of AI
in facilitating self-directed learning.
In addition to the quantitative approach, qualitative data will be gathered through semi-
structured interviews with a selected subgroup of 5-10 participants from the experimental
group. A semi-structured interview guide will be developed, including open-ended
questions to explore students' experiences with the AI tools. Participants will be chosen
based on their level of engagement with the tools to ensure a diverse range of insights.
Interviews will be conducted in a comfortable environment, lasting 15 to 30 minutes, and
will be recorded (with consent) for accurate data collection. The recorded interviews will
be transcribed, and thematic analysis will be applied to identify patterns and key themes in the responses.
Finally, the results will be analyzed to determine the overall impact of the AI tools on the
students' self-learning skills and attitudes. Quantitative data will be assessed through
descriptive statistics, while qualitative insights from the interviews will provide a deeper
understanding of their experiences and perceptions. This comprehensive analysis will
enable us to draw conclusions about the effectiveness of the AI tools in enhancing self- learning strategies. 6 20:25, 09/01/2026
Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu REFERENCE
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Nckh - Research Proposal on AI's Impact on Self-Learning Strategies - Studocu