Developing generative AI chatbots conceptual framework for higher education
Project Overview
This document examines the integration of generative AI chatbots in higher education, focusing on their potential and challenges. The study introduces the Generative AI Chatbots Acceptance Model (GAICAM), a framework designed to facilitate the adoption of AI tools by integrating existing theories. It emphasizes the benefits of AI chatbots, including personalized learning support and research assistance for students. However, the study also acknowledges hurdles such as student skepticism and ethical considerations. The research recommends a holistic implementation strategy, considering factors like institutional readiness, student perceptions, technological infrastructure, individual characteristics, attitudes towards AI, and actual usage patterns. Future research will build upon these foundations to address the complexities of AI in education.
Key Applications
Generative AI Chatbots
Context: Higher Education: Students and Lecturers
Implementation: Providing personalized assistance, assisting with research-related tasks (literature reviews, research methodology advice), assisting with homework and administrative tasks, reducing the workload of lecturers, and providing real-time feedback.
Outcomes: Improved student engagement, streamlined educational processes, support for administrative and research duties, customizable learning experiences, and access to innovative knowledge and skills.
Challenges: Unfavorable student sentiments, doubts about the veracity of AI-generated material, and unease and nervousness with new technologies.
Implementation Barriers
Student Sentiment
Negative student attitudes towards chatbots, including preference for in-person collaboration for soft skills development. This can manifest as technological anxiety.
Proposed Solutions: Not explicitly mentioned, but likely involves addressing student concerns through education, demonstrating the benefits of AI, and potentially integrating AI in ways that complement rather than replace human interaction. Providing training and support to users and building trust in the technology.
Authenticity and Trust
Doubts about the veracity of material produced by AI chatbots.
Proposed Solutions: Verifying AI-generated content through AI technology like ChatGPT.
Academic Integrity
Students will use AI chatbots to cheat, and plagiarise their assignments, research , and other academic task
Proposed Solutions: Deployment of advanced plagiarism detection tools, clear policies on academic honesty, and innovative assessment methods that discourage unethical practices.
Bias and Fairness
Ethical issues on the biases of AI-generated text and content.
Proposed Solutions: Not explicitly mentioned, but mitigation mechanisms are available
Security
Security issues because of the conservations that happened on AI chatbots and the storage.
Proposed Solutions: Not a major concern for AI chatbots because many of their security concerns are known and mitigation mechanisms are available.
Project Team
Joshua Ebere Chukwuere
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Joshua Ebere Chukwuere
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
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