An investigation into the scientific landscape of the conversational and generative artificial intelligence, and human-chatbot interaction in education and research
Project Overview
The document examines the transformative impact of generative AI (CGAI/GenAI) and chatbots in education, particularly emphasizing their swift adoption since 2019 across various fields such as computer science, healthcare, engineering, and business. Key applications include syllabus generation, testing aids, academic support, and interactive learning, which enhance student engagement and facilitate personalized learning experiences. While the advantages of using generative AI in education are notable, including improved content creation and tailored educational experiences, the document also addresses significant challenges such as academic integrity, privacy concerns, and the necessity for robust policy frameworks to govern AI usage. It highlights the importance of developing strategies that harness the benefits of AI while simultaneously tackling ethical issues to ensure responsible implementation in educational contexts.
Key Applications
AI-Assisted Learning Tools
Context: Utilized in various educational settings to support teaching, learning, and assessment, including generating syllabi, quizzes, exam questions, and providing mental health support through chatbots during crises like COVID-19.
Implementation: Adoption of AI technologies such as ChatGPT and AI medical chatbots for generating educational content, assisting with programming tasks, and providing emotional support. These tools are integrated into curricula and educational platforms to enhance student engagement and efficiency in learning.
Outcomes: Improved user experience, enhanced learning and testing capabilities, increased efficiency in coding tasks, and better emotional support leading to an overall improved learning experience.
Challenges: Concerns about academic integrity, accuracy of generated content, potential privacy issues, reliability of generated outputs, and dependency on technology.
Implementation Barriers
Ethical
Concerns regarding academic integrity and potential misuse of AI-generated content.
Proposed Solutions: Development of clear policies and guidelines to mitigate risks.
Privacy
Concerns about data privacy and security when using AI chatbots.
Proposed Solutions: Implement strong privacy policies and data protection measures.
Technical
Concerns about the reliability and accuracy of AI-generated content.
Proposed Solutions: Further research into AI capabilities and the development of detection systems for AI-generated content.
Project Team
Ikpe Justice Akpan
Researcher
Yawo M. Kobara
Researcher
Josiah Owolabi
Researcher
Asuama Akpam
Researcher
Onyebuchi Felix Offodile
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Ikpe Justice Akpan, Yawo M. Kobara, Josiah Owolabi, Asuama Akpam, Onyebuchi Felix Offodile
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