Outputs and recommendation

Educational Opportunities

Question Styles - Questions asking students to critically analyse outputs from AI tools will improve students' preparedness for employment. An example.Link opens in a new window
Dynamic Curriculum - Creating a learning plan which can adapt depending on students' performance in certain areas.
Fostering Conversation - Creating an environment for students and professors to openly talk about AI tools and talking outputs from AI tools students may not be certain about.
Identifying Students Who Are Struggling - Identifying students who may be struggling so early intervention may occur to help the student.
Effective Group Work - Creating groupings of students for group work that are balanced and allow students who may be struggling to improve with help from peers.

Personalised Learning - AI tools can adapt information in multiple ways so students can use the learning style most effective for them.
Content Summrisation - AI tools can summarise content and re-word it to allow students to learn quickly and effectively.
24/7 Tutoring and Support - AI tools can be used at any time to help clarify misunderstandings.
Feedback - AI tools can be used for feedback on questions.
Identifying Gaps In Knowledge - AI tools can be used to identify areas to improve and point students to resources to help them.
Generating Questions - AI tools can be used to generate questions of differing levels of difficulty.
Accessibility - AI tools can create a more inclusive learning environment through tools like speech-to-text, text-to-speech and real-time translation.
Indirect Learning Tool - Can be used to help organise students, for example creating revision timetables

Gain Experience With AI Tools - Students gain familiarisation with AI tools used in industry.
AI Literacy - Understanding the basics of AI and knowing what it can and cannot do.
Staying Up to Date With AI Advancements - Following changes in AI tools and new AI tools and how that affects the industry.
Adapting to Changes - Being prepared for how job roles change as AI integration increases.
Understanding Ethical Implications - Being aware of ethical and privacy concerns and responsibly using AI in the workplace.
Learning to collaborate With AI - Learning how to use AI tools to improve your work, not replace your work.
Combing Your Knowledge With AI - Combing your knowledge with AI to discover unique insights.
Critically Analyse AI Outputs - Learning how to critically analyse AI outputs, understand limitations and spot potential bias.
Enhancing Skills - Using AI tools to enhance your creativity and problem-solving skills.