Table 3 Main themes and subthemes of qualitative data
From: A comprehensive AI policy education framework for university teaching and learning
Main themes | Subthemes |
|---|---|
1. Understanding, identifying and preventing academic misconduct and ethical dilemmas | Develop guidelines and strategies for detecting and preventing the misuse of generative AI Identify ethical dilemmas Familiarize students with ethical issues |
2. Addressing governance of AI: Data privacy, transparency, accountability and security | Be transparent about decisions concerning AI use Ensure data privacy and security Address ethical issues such as bias and stereotypes |
3. Monitoring and evaluating AI implementation | Conduct longitudinal experiments to examine the effects of AI use Collect feedback from teachers and students to make informed decisions |
4. Ensuring equity in access to AI technologies | Provide resources and support to all students and staff Ensure all students have access and training to AI tools |
5. Attributing AI technologies | Promote academic integrity in AI use Develop guidelines on how to attribute generative AI’s contribution to student work |
6. Providing training and support for teachers, staff and students in AI literacy | Enhance staff confidence and competence through adequate training Teach students how to use and critique the use of AI technologies Provide education on ethics; knowledge of the affordances, use, and limitations; and capability to evaluate AI outputs |
7. Rethinking assessments and examinations | Design assessments that integrate AI technologies to enhance learning outcomes Develop assessment strategies that focus on students’ critical thinking and analysis |
8. Encouraging a balanced approach to AI adoption | Recognize the potential benefits and limitations of generative AI technologies Avoid over-reliance on AI technologies Use AI technologies as complementary tools |
9. Preparing students for the AI-driven workplace | Teach students how to use AI responsibly Develop curricula that equip students with AI skills and knowledge Familiarize students with AI tools they will encounter for university studies and future workplace |
10. Developing student holistic competencies/generic skills | Enhance students’ critical thinking to help them use AI technologies effectively Provide opportunities for developing competencies that are impeded by AI use such as teamwork and leadership |