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Education in the Age of Generative AI: 10 Academic Papers to Read for Educators and Students
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Summation
Analysis of 10 papers on the impact of AI on education
The growing trend of AI use in education
Differences in AI adoption in basic and higher education
Teachers’ AI Experiences and Challenges
Classification of AI's educational support functions
Action Guide for Education Systems and Policy Makers
AI Trends in Education
Increasing use of AI
Expanding the use of generative AI tools (e.g. ChatGPT)
Applications include personalized learning, task automation, feedback provision, and content creation.
Difference between basic education and higher education
1.
Basic Education (K-12)
Increasing integration of AI tools
Concerns include teacher readiness, technology accessibility, and lack of AI training programs
Focus on promoting AI literacy and responsible use of AI
2.
Higher Education
Actively introducing AI tools and seeking integration of various learning areas
Concerns exist about academic integrity, plagiarism, and decreased critical thinking skills.
Teachers' AI Experiences
1.
Prospective teacher
High motivation to learn about AI
There is uncertainty and anxiety about AI integration.
Structured training, resources, and institutional support are needed.
2.
Current teacher
A balanced view of the benefits and limitations of AI
Using AI to create content, provide feedback, etc.
Concerns about ethical issues and academic integrity
Need for institutional policy, guidelines, and training support
AI's educational support functions
1. Basic functions
Create and organize content
Create a summary, outline, and lesson plan
Write a module outline and learning objectives
Automation and communication of tasks
Create rubrics, write image alt text
Drafting emails and social media posts
2. Advanced features
Data Analysis
Analyze student performance and learning patterns
Individualized guidance and decision support
3. High-level functions
Providing a personalized learning experience
Design a personalized learning path
Create personalized materials and assessments
4. Collaboration features
Real-time interaction and collaboration
Provide immediate feedback in online discussions
Using AI-based chatbots as virtual tutors
Challenges and Needs for Support
Key Challenges
The "AI Anxiety" Phenomenon
Concerns about the impact on learning, ethical issues, and changing roles for teachers
Concerns about technical difficulties and AI-generated bias or inaccuracy
Support needed
AI literacy training, including technical and ethical aspects
Clear institutional policies on AI use
Access to trusted AI tools and technical support
Professional development opportunities and ongoing support
Action Guide for Education Systems and Policy Makers
1. Development and implementation of AI literacy and training programs
Providing comprehensive programming for educators and students
Includes technical aspects, ethical considerations, and best practices
2. Establish clear and flexible policies and guidelines for AI use.
Addressing academic integrity, plagiarism, and privacy concerns
Ensuring fair access to AI tools
3. Solving the problem of fairness
Ensuring AI tools are accessible to all students
Using AI technologies in a way that doesn’t reinforce existing biases
4. Support for teachers and instructional designers
Providing ongoing support and professional development opportunities
Supporting effective integration of AI into educational practices
5. Support AI education research and innovation
Studying the potential of AI to improve learning performance
Exploring the Challenges of AI Integration
Developing best practices for ethical and effective use of AI in diverse learning environments
Source
Special issue of the Online Learning Consortium's open access journal
Cristóbal Cobo, Senior Educational Technology Policy Expert, International Organization (September 20, 2024)
Original text: https://olj.onlinelearningconsortium.org/index.php/olj
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