Article note taking
1. AI in Education: A Systematic Literature Review
https://www.igi-global.com/article/ai-in-education/266434
2. The future of AI and education: Some cautionary notes
https://onlinelibrary.wiley.com/doi/full/10.1111/ejed.12532
3. AI in Education: Change at the Speed of Learning
4. Artificial Intelligence (AI) in Education from 2010 to 2020
https://onlinelibrary.wiley.com/doi/full/10.1155/2021/8812542
1.Kadir Kundyz
Topic: A Review of AI in Education:A Systematic Literature Review
https://www.igi-global.com/article/ai-in-education/266434
Main ideas Detailed Information
Introduction of AI Machines that replicate human intelligence
are referred to as AI. John McCarthy first
used the phrase in 1956. It has many uses.
AI in Education By automating processes, utilizing
intelligent material, intelligent teaching, and
managing vast amounts of data, artificial
intelligence has completely transformed
schools.
Challenges in AI Concerns include data privacy, trust, and
ethical dilemmas. Another concern is that
AI could replace teachers.
Technological Framework The integration of AI in organizational
environments is covered by the
Technological-Organizational-Environment
al (TOE) framework.
Summary/Reflection
With tools like intelligent tutoring and smart content, AI is revolutionizing education by automating
processes and fostering more dynamic learning environments. But issues like data privacy, moral
dilemmas, and the possible replacement of human teachers continue to be major barriers to its
wider use.
2.Tursynbay Dana
Topic: The future of AI and education: Some cautionary notes
https://onlinelibrary.wiley.com/doi/full/10.1111/ejed.12532
Key Points: Key Areas AI Affects Education:
● AI’s impact on the personalization of
Introduction: Overview of AI in education learning experiences, where AI can
Key areas AI affects education tailor materials, assessments, and
AI as a personalized learning tool feedback for individual learners.
Ethical implications of AI in education ● Use of AI in administrative tasks, such
Limitations of AI in pedagogical practices as scheduling and grading, freeing up
The potential risks of over-reliance on AI teachers' time for other roles.
Future of AI in education and its uncertainties
Author’s cautionary stance on AI development AI as a Personalized Learning Tool:
● AI tools are capable of providing
Introduction: adaptive learning experiences that
● The paper introduces the growing use of respond to student performance in real
AI in education, emphasizing the time.
excitement and optimism around AI’s ● Personalized feedback and automated
potential to revolutionize learning. grading systems are highlighted as key
● AI technologies are expected to enhance innovations that AI brings to education.
personalized learning, data-driven ● AI could widen access to education by
educational methods, and administrative offering personalized tutoring at scale.
functions.
Potential Risks of Over-Reliance on AI:
Limitations of AI in Pedagogical Practices:
● The over-reliance on AI in education
might lead to teachers becoming overly ● AI’s reliance on data means it may not
dependent on technology, reducing their fully capture the complexities of human
role to facilitators of AI-based learning learning, which often involves
platforms. emotional and social dimensions.
● This could undermine the relational and ● The author highlights that AI, as it
humanistic aspects of education. exists today, lacks the nuanced
● The author warns that blindly accepting understanding of human teachers.
AI without a critical perspective could ● Teachers play roles in emotional and
negatively impact educational values. social development, areas where AI
Future of AI in Education and its currently cannot contribute effectively.
Uncertainties:
● The future of AI in education is still Author’s Cautionary Stance:
uncertain, and there is a need for more
research into its long-term impacts. ● The paper concludes with a cautious
● The article calls for caution in adopting note, advising educators and
AI technologies too rapidly without a policymakers to consider both the
deeper understanding of their benefits and the potential drawbacks of
AI.
implications. ● It argues for the need to balance
● While AI holds promise, its current technological innovation with the
limitations require that educators remain human elements of teaching and
critical and informed about its role in learning.
learning environments. ● The focus should remain on developing
ethical frameworks and practices for
integrating AI responsibly into
education.
●
Summary/Reflection
The paper provides a thorough discussion on the growing influence of AI in education, highlighting
its potential benefits such as personalized learning and efficiency in administrative tasks. However,
the author emphasizes the importance of recognizing AI's limitations, particularly in areas of
pedagogy that require emotional intelligence and human interaction. Ethical concerns, including
bias and privacy, are also raised, along with warnings against over-reliance on AI.
3. Adelya Kairatova
Topic: AI in Education: Change at the Speed of Learning by Steven Duggan
Link:https://iite.unesco.org/wp-content/uploads/2020/11/Steven_Duggan_AI-in-Educa
tion_2020.pdf
Main ideas Detailed Information
Key Ideas (Cues/Questions): 1. The Changing Role of Technology in
Education
• What is the role of AI in modern education?
2. Advancements in Technology
• How do data, analytics, AI, cloud computing,
and machine learning impact education?
3. The Promise of AI
• What benefits does AI offer to students,
educators, parents, and school leaders?
4. Challenges of AI in Education
• What are the ethical and equity concerns?
1. AI in Education: • Personalized learning is tailored to individual
students based on real-time data and insights.
• AI can assist with both qualitative (teacher
feedback, observations) and quantitative data
(grades, attendance).
2. Key Technological Advancements: • AI: Used for predictive analysis to help
personalize learning.
• Cloud Computing: Offers scalability and
real-time access to vast data.
• Machine Learning: Automates learning
patterns and decision-making based on data
inputs.
3. Benefits for Stakeholders:
• Students: AI supports personalized learning,
addressing strengths and weaknesses.
• Teachers: AI reduces administrative burdens,
allowing for more focus on personalized
teaching.
• School Leaders: Data-driven insights help in
resource management and student retention
strategies.
• Parents: Enhanced communication and
involvement in student progress through AI
tools.
3. Challenges: • Equity and Access: Many students globally
lack internet access, which limits AI’s potential.
• Ethical Concerns: Privacy and the
responsible use of student data are key issues
that need addressing.
Summary/Reflection.
AI has significant potential to revolutionize education by enabling personalized learning and
improving teaching efficiency. However, challenges such as equity in access to technology and
ethical considerations around data privacy must be addressed to fully leverage its benefits in
education systems globally.
4.Aryntaikyzy Nuray
Topic: A Review of Artificial Intelligence (AI) in Education (2010-2020)
https://onlinelibrary.wiley.com/doi/full/10.1155/2021/8812542
Main concepts: Introduction:
AI is changing instruction, with developing
AI developments in education (2010-2020) investigate intrigued from 2010 to 2020.
Research dimensions: development, extraction, AI in instruction makes a difference with
application personalization, computerization, and giving
modern learning openings.
Future trends: IoT, Swarm intelligence, deep
Enormous information, cloud computing, neural
learning, neuroscience
systems, and machine learning are major
advances driving this alter.
Challenges: technical, educational, ethical
Methodology:
Key questions :
Efficient writing audit of 100 papers from SSCI
What is the state of AI in education from 2010 diaries on AI in instruction.
to 2020?
Substance investigation categorizes investigate
What are the trends and challenges of AI in into advancement, extraction, and application
education? layers.
Challenges Identified Research Trends
Technical:AI frameworks require superior Internet of Things (IoT):Potential for joining
integration with instructional methods to be biofeedback and wearable gadgets for hands-on
compelling. learning.
Teachers’ Role:AI isn't an educator Swarm Intelligence:Decentralized,
substitution; instep, it changes the part from group-oriented learning where understudies are
information transmitter to information organizer. makers of information.
Ethical Concerns:Privacy, data security, and the Deep Learning:Progressed machine learning
risk of over-reliance on AI tools. procedures for personalization, scoring, and
anticipating results.
Neuroscience:Brain-based learning strategies,
combining cognitive science with AI.
Summary/Reflection
AI is changing instruction, from mechanizing errands to giving personalized learning encounters.
The paper highlights how AI-driven instruments like brilliantly mentoring frameworks and
profound learning can progress instruction, but it moreover emphasizes the significance of tending
to specialized and moral challenges. For compelling AI integration in instruction, collaboration
between teachers and technologists is pivotal. Future patterns incorporate extending the Web of
Things, utilizing AI for versatile learning, and tending to moral concerns in information utilize.
