2024 AIR Forum

By Prof Lessing Labuschagne

May 29–31 | Denver, Colorado, USA

The Association for Institutional Research (AIR) Forum 2024, held in Denver, Colorado, USA from May 29 to May 31, brought together professionals from higher education institutions worldwide to discuss the latest trends, tools, and techniques in institutional research, assessment, and data analytics. This premier annual event was a vital platform for networking, professional development, and sharing best practices.  The conference was attended by more than 1700 delegates, and over 200 presentations were made.

The forum featured a diverse array of sessions, including keynote speeches, workshops, and roundtable discussions. Keynote speakers, who were leaders in higher education and data science, addressed pressing issues such as the impact of artificial intelligence on educational data analytics, strategies for promoting equity and inclusion through data-informed decision-making, and the future of institutional research in an increasingly digital world.  It was clear that AI is, and will, have a major impact on IR.

AI-Driven Analytics and Decision-Making

One of the primary themes at the forum was the integration of AI into data analytics. AI technologies, such as machine learning and predictive analytics, are increasingly being used to process large volumes of educational data. These technologies can identify patterns and trends that are not immediately apparent through traditional analysis methods. For instance, AI algorithms can predict student success and retention by analysing historical data, enabling institutions to address issues before they impact student outcomes proactively.

Prof Lessing Labuschagne at the 2024 AIR Forum

 

Enhancing Student Retention and Success

AI’s potential to improve student retention and success was a major focus. Advanced predictive models can forecast which students are at risk of dropping out based on various factors, including academic performance, engagement metrics, and socio-economic background. By identifying at-risk students early, institutions can intervene with targeted support services, such as tutoring, counselling, and financial aid, thereby increasing retention rates and helping students achieve their educational goals.

Personalised Learning and Support

Another innovative application of AI discussed at the forum was the development of personalised learning experiences. AI can tailor educational content and learning pathways to meet individual students’ unique needs and preferences. Adaptive learning platforms, powered by AI, adjust the difficulty and type of content in real-time based on a student’s performance, ensuring that each student receives a customised educational experience that maximises their learning potential.

Operational Efficiency and Resource Allocation

AI also offers significant benefits in terms of operational efficiency and resource allocation. Institutions can use AI to optimise class schedules, manage facilities more effectively, and allocate resources based on predictive models. For example, AI can forecast enrolment trends, allowing institutions to better plan for staffing needs and course offerings, thereby enhancing the overall efficiency of their operations.

Ethical Considerations and Equity

While the benefits of AI are substantial, the forum also addressed important ethical considerations. Discussions emphasised the need for transparency in AI algorithms, ensuring they are free from bias and that their decision-making processes are understandable. There was a strong focus on using AI to promote equity and inclusion, ensuring that all students have equal access to the benefits of AI-driven insights and interventions.

Prof Lessing Labuschagne and Dr. Liile Lerato Lekena-Bayaga at the 2024 Air Forum

Future Prospects

Looking forward, the forum highlighted the ongoing evolution of AI technologies and their expanding role in institutional research. Attendees were encouraged to continue exploring new AI applications and to collaborate across institutions to share knowledge and best practices. The consensus was clear: AI has the potential to not only enhance the effectiveness of institutional research but also to transform higher education fundamentally.

The AIR Forum 2024 underscored the critical role of artificial intelligence in shaping the future of institutional research. Through enhanced data analytics, personalized student support, and improved operational efficiency, AI is poised to drive significant advancements in higher education. The discussions and innovations presented at the forum will undoubtedly contribute to the ongoing efforts to harness the power of AI for the betterment of educational institutions and their students.

Workshops provided hands-on training in advanced analytics, data visualisation, and the use of emerging technologies in institutional research. Participants had the opportunity to engage with innovative tools and methodologies shaping the future of data use in higher education. Sessions also focused on practical applications, such as improving student retention and success rates, optimising resource allocation, and enhancing institutional effectiveness.

Networking opportunities were abundant, with events designed to foster collaboration and idea exchange among attendees. Special interest groups met to discuss common challenges and solutions in areas such as community colleges, minority-serving institutions, and international education.

It was clear that the IR profession is thriving and that many new developments would enable better and deeper analysis of institutional data.  However, very few presentations provided context or explained why the data is what it is.  This demonstrated an area that might need attention, as the value of institutional research lies primarily in enabling better decision-making.  It is easy to misinterpret data, leading to incorrect conclusions and decisions.

In summary, the AIR Forum 2024 was a vibrant gathering that underscored the critical role of data in shaping the future of higher education. It equipped attendees with the knowledge and tools needed to drive data-informed decision-making at their institutions, ultimately contributing to enhancing educational outcomes and institutional success.