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A Systematic Review of Generative AI for Teaching and Learning Practice

Project Overview

The document examines the emerging role of generative AI (GenAI) in higher education, outlining its promising applications such as personalized learning experiences, tutoring, and enhanced assessment support. It underscores the significant benefits that GenAI can offer in tailoring educational content to individual student needs and improving engagement. However, the report also addresses critical challenges related to the ethical implications of AI use, including issues of bias, academic integrity, and the potential for misuse. To navigate these complexities, the document calls for further research and the development of comprehensive guidelines that promote the responsible integration of GenAI in educational settings. It advocates for interdisciplinary collaboration among educators, technologists, and policymakers to ensure that GenAI's implementation maximizes its advantages while mitigating risks, ultimately enhancing the learning experience for students.

Key Applications

Use of GenAI tools for automated assessment, personalized tutoring, and support in educational activities.

Context: Higher education, targeting students and professors in various fields including software engineering and creative writing.

Implementation: Integration of GenAI tools like ChatGPT for grading, answering questions, generating exercises, and providing personalized tutoring and feedback across various subjects.

Outcomes: ['Enhanced learning experiences and tailored learning environments.', 'Increased efficiency in grading and improved predictions of student performance.', 'Improved writing skills and creativity among students.']

Challenges: ['Concerns regarding academic integrity, reliance on AI, and potential loss of critical thinking skills.', 'Risks of bias, ethical issues, and concerns about the accuracy of translations and generated content.']

Utilization of GenAI for language translation, syllabus creation, and support for creative writing.

Context: Higher education, targeting professors and students in various disciplines, particularly in creative fields.

Implementation: Employing GenAI tools to create educational materials, facilitate communication, and support creative writing assignments and brainstorming activities.

Outcomes: ['Enhanced accessibility and personalized learning pathways.', 'Improved writing skills and creativity among students.']

Challenges: ['Concerns about the accuracy of translations and dependency on AI tools.', 'Potential for plagiarism and ethical concerns regarding authorship.']

Implementation Barriers

Ethical

Concerns about bias, privacy, and academic integrity related to GenAI tools.

Proposed Solutions: Development of guidelines and frameworks for ethical usage in educational contexts.

Technical

Issues with the accuracy and reliability of GenAI outputs.

Proposed Solutions: Continuous assessment and improvement of GenAI systems to ensure high-quality outputs.

Cultural

Mixed perceptions among educators and students regarding the integration of GenAI in education.

Proposed Solutions: Stakeholder engagement and feedback to align GenAI tools with educational needs.

Project Team

Bayode Ogunleye

Researcher

Kudirat Ibilola Zakariyyah

Researcher

Oluwaseun Ajao

Researcher

Olakunle Olayinka

Researcher

Hemlata Sharma

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao, Olakunle Olayinka, Hemlata Sharma

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

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