Reflection on the 2024 Learner Analytics Institute (LAI) Workshop (2024)

by Hossein Masoumi Karakani and Takalani Muloiwa-Klenam

Overview

The 2024 Learner Analytics Institute (LAI), held at the University of Pretoria (13 – 15 May 2024), was a comprehensive and highly engaging event that brought together practitioners and researchers in Higher Education (HE) to advance their skills and knowledge in Learner Analytics (LA). The event’s focus on transitioning from descriptive to prescriptive analytics is particularly significant as it aligns with the evolving needs of data-driven decision-making in the digital age. This workshop was one of the largest events in the field of LA in South Africa (SA) with 80 registered delegates representing every province and encompassing a broad spectrum of roles in HE. This diverse representation, including active presentation from the private sector, underscores the collective impact that our shared knowledge can achieve. Data is the new blood, coursing through the veins of all sectors, including HE, nourishing their strategic decision-making with critical insights. In total there were 11 sessions given by 7 expert presenters. It effectively bridged the gap between theoretical knowledge and practical application, which is crucial in a field as dynamic and evolving as LA.

Key Insights

The shift from descriptive to prescriptive analytics is a central theme of the LAI workshop. Descriptive analytics involves analyzing historical data to understand what has happened, whereas prescriptive analytics goes a step further by providing recommendations for future actions based on predictive insights. This transition is crucial for institutions aiming to not only understand past trends but also to shape future outcomes proactively. The workshop provided a comprehensive introduction to the fundamentals of LA, highlighting basic concepts and underscoring the importance of analytics in driving student success. Data literacy is crucial in the AI era as it enables individuals and universities to critically analyze, interpret, and leverage the vast amounts of data generated by AI systems, ensuring informed decision-making and responsible use of AI technologies in various fields, including education. For seasoned practitioners, the workshop delved into advanced topics, including the integration of Large Language Models (LLMs) and Explainable AI (XAI), offering a deeper understanding of sophisticated analytical methods. Moreover, there was a strong emphasis on practical tools, with sessions focusing on using Microsoft Power BI, R, and Python to create dynamic dashboards and conduct sophisticated data analyses, equipping participants with the skills to effectively interpret and visualize educational data.

Feedback and Future Impact

Participants praised the workshop for its relevance, practical sessions, and the quality of presentations and presenters. The hands-on approach and practical experience were highly appreciated. The sessions were considered informative, empowering, and well-structured, helping attendees feel confident in implementing new processes at their institutions. Participants gained a wide range of skills, from data literacy, analysis and manipulation techniques to visualization and reporting methods. The use of AI tools for data manipulation and the importance of data governance and ethics were also highlighted. These skills are essential for driving effective decision-making and improving educational outcomes.

Strategic Insights and Practical Applications

The workshop’s focus on strategic insights and practical applications is expected to significantly impact institutional planning. Participants recognized the potential of LA to deal with complex data, provide valuable insights, and drive strategic decisions. The workshop equipped them with actionable skills and a broader understanding of how to apply LA in their work environments. The workshop touched on a wide range of topics, from basic data analysis techniques to advanced concepts like artificial intelligence and machine learning in educational contexts. The workshop went beyond just teaching tools, helping participants understand the strategic importance of LA in educational decision-making and student success. The inclusion of emerging technologies like Large Language Models and Explainable AI prepared participants for future developments in the field.

Dr Hossein Masoumi Karakani presenting at the 2024 LAI

Impact on Institutional Planning in the Digital Age

The insights and skills gained from the LAI workshop are set to transform institutional planning in several ways: 1) Enhanced Decision-Making: The transition from descriptive to prescriptive analytics will enable institutions to make more informed and proactive decisions, improving educational outcomes and operational efficiency; 2) Strategic Planning: Institutions can leverage predictive insights to better plan for enrollment, resource allocation, and student support services, aligning strategies with future needs; 3) Data-Driven Culture: By fostering a culture of data-driven decision-making, institutions can ensure that all levels of management and staff are equipped to use data effectively, and 4) Continuous Improvement: The emphasis on continuous learning and adaptation to new AI tools will help institutions stay ahead of technological advancements and maintain a competitive edge.

Conclusion

The 2024 LAI was a significant step towards advancing LA in HE in South Africa. By focusing on the shift from descriptive to prescriptive analytics, the workshop has equipped practitioners with the skills and knowledge needed to drive effective decision-making in the digital age. The positive feedback and constructive suggestions for improvement highlight the workshop’s success and its potential to shape the future of institutional planning, ensuring that educational institutions can navigate the complexities of the digital era with confidence and foresight. The feedback also suggests a strong appetite for continued learning in this field. Many participants expressed interest in follow-up workshops, quarterly sessions to keep up with trends, and the formation of working groups to further develop and apply their new knowledge.

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