The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and Millennial Generation teachers?
Project Overview
The document examines the perceptions and experiences of Gen Z students and Gen X and Y teachers regarding the integration of generative AI (GenAI) technologies, like ChatGPT, in higher education. Gen Z students view GenAI positively, recognizing its potential to enhance productivity, efficiency, and personalized learning experiences. Conversely, Gen X and Y teachers express apprehensions about the ethical implications, risks of overreliance on technology, and the necessity for clear guidelines to ensure responsible usage. The findings highlight a desire for a blended approach that combines traditional teaching methodologies with technological advancements to optimize learning outcomes. Ultimately, the document underscores the need for evidence-based policies to effectively integrate GenAI into educational frameworks, addressing both the innovative potential and the challenges associated with these emerging technologies.
Key Applications
AI-driven educational support systems
Context: Higher education, primarily targeting Gen Z students and facilitating collaboration among diverse student backgrounds.
Implementation: AI-driven systems provide personalized tutoring, feedback, and are integrated into communication platforms to enhance peer collaboration and group problem-solving. Additionally, AI assists educators by generating course materials such as summaries, quizzes, and discussion prompts, while also managing administrative tasks.
Outcomes: ['Addresses individual learning gaps and supports self-paced learning.', 'Promotes knowledge sharing and develops a more inclusive learning community.', 'Saves time for educators, allowing them to focus on complex pedagogical aspects.', 'Improves efficiency and personalizes student experiences.']
Challenges: ['Requires proper guidelines and oversight to mitigate issues of overreliance and ethical concerns.', 'Ensuring equitable access and addressing potential biases in AI outputs.', 'Concerns regarding the quality and accuracy of AI-generated content.', 'Skepticism among students about AI potentially replacing faculty roles.']
Implementation Barriers
Ethical
Concerns about overreliance on GenAI technologies and their implications for academic integrity.
Proposed Solutions: Development of evidence-based guidelines and policies for responsible use.
Technical
Issues related to data privacy, biases in AI algorithms, and the need for human oversight.
Proposed Solutions: Implement robust data management practices and ensure transparency in AI decision-making processes.
Perception
Teachers are more skeptical about GenAI capabilities and express concerns over its potential risks.
Proposed Solutions: Provide training and support to educators about GenAI technologies to bridge the knowledge gap.
Project Team
Cecilia Ka Yuk Chan
Researcher
Katherine K. W. Lee
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Cecilia Ka Yuk Chan, Katherine K. W. Lee
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai