ATTRACTION AND ADMISSIONS
INDUCTION AND ONBOARDING
TEACHING
AND
RESEARCH
STUDENT SUPPORT
BELONGING AND ENGAGEMENT
Virtual assistants and chatbots – intelligently handle enquiries, provide information and guidance across the application process
Predictive analytics – identify high-potential candidates based on criteria
Application screening and evaluation tools – increase speed and consistency of applicant experience
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Learning Management Systems – personalise learning features in course administration and assessment
Adaptive Learning Systems – tailor teaching materials to individual student needs
VR and AR – provide interactive, immersive teaching experiences and visualise content
Natural Language Processing tools – fast track content review and analysis
Machine Learning and predictive analytics – power complex research models
Virtual tutors and chatbots – provide personalised 24/7 access to teaching, learning and research assistance
Predictive analytics – predict student outcomes, identify at-risk students and support early interventions
Automated assessment tools – provide in the moment adaptive feedback
Recommender systems – suggest personalised mentors, advisors, peer support, alumni connections and professional development opportunities
Virtual engagement platforms – provide moderated social and networking forums
Alumni feedback tools – streamline analysis and insight generation
Recommender systems – suggest personalised academic and extra-curricular activities
Gamification platforms – provide interactive induction materials to increase engagement
VR and AR – provide immersive orientation via virtual campus tours
Automated document processing tools – streamline enrolment administration
INDUCTION AND ONBOARDING
Recommender systems – suggest personalised academic and extra-curricular activities
Gamification platforms – provide interactive induction materials to increase engagement
VR and AR – provide immersive orientation via virtual campus tours
Automated document processing tools – streamline enrolment administration
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TEACHING AND RESEARCH
Learning Management Systems – personalise learning features in course administration and assessment
Adaptive Learning Systems – tailor teaching materials to individual student needs
VR and AR – provide interactive, immersive teaching experiences and visualise content
Natural Language Processing tools – fast track content review and analysis
Machine Learning and predictive analytics – power complex research models
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STUDENT SUPPORT
Virtual tutors and chatbots – provide personalised 24/7 access to teaching, learning and research assistance
Predictive analytics – predict student outcomes, identify at-risk students and support early interventions
Automated assessment tools – provide in the moment adaptive feedback
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BELONGING AND ENGAGEMENT
Recommender systems – suggest personalised mentors, advisors, peer support, alumni connections and professional development opportunities
Virtual engagement platforms – provide moderated social and networking forums
Alumni feedback tools – streamline analysis and insight generation
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There are many ways AI can enhance student experience