Using Artificial Intelligence to Enhance Student Success

Description

In this session, we will examine how AI and indirect measures can be used to better guide assessment to improve student and academic success. The impact of using this approach inside the classroom can be felt for years to come and can help shape policy decisions that impact educational stakeholders.

Objective

Artificial Intelligence is one of the most talked about phrases in higher education. From an assessment standpoint, what can be achieved by implementing AI into assessment? In this session, we will explain why the need for indirect measures is more important now that ever. The impact of using this approach inside the classroom, as well as your college in general, can be felt for years to come and can help shape policy decisions that impact all educational stakeholders. In addition, we will also examine how AI and indirect measures can be used to assist student organizations in gaining a better understanding of the needs of the communities in which they live, work, and serve. The session will conclude by sharing ideas on how to create and use data visualizations to document and tell the assessment story.

The session will explain how indirect measures are an important part of assessing learning. That will be followed by a discussion of how AI is impacting the assessment community, and how that can be aligned to meet the evolving needs of academia and society. AI and indirect measures in assessment is a new phenomenon, and one that will be discussed in terms of data collection.

Information on what and how data is collected data, along with relevant examples of how the data is shared with key stakeholders will be described. Learn about one institution’s unique approach that goes beyond the classroom and traditional metrics, while integrating an AI lens to indirect measure outcomes such as societal impact, equity initiatives, and lifelong learning as they relate to student organizations. Explore how another institution collects, organizes, and shares this data with key stakeholders to make data-driven decisions.

Target Audience and Audience Takeaways

This session is one which bridges any gaps between administration, staff, and faculty. Because the focus is on assessment and societal impact, classroom implementation ,and use at the school level, all three of those cohorts can benefit and learn similar ways to create program like what we do at their school, regardless of size, public or private funding, or academic focus (does not need to be a business school). In a similar manner to the creation of a sessions learning outcomes, attendees will leave this session with a stronger understanding of how indirect measures coupled with AI can create a stronger focus on academic and societal impact of colleges and schools of business. In addition, the audience will understand how the efficient use of data visualizations helps colleges and schools of business share their assessment process for decision-making and information sharing.

After attending this session, the audience will become stakeholders and will be able to:

• Incorporate Artificial Intelligence ideas to assessment in an academic setting.
• Apply indirect measures to existing academic curriculum for the benefit of both student and institution.
• Create a bridge between academic and co-curricular stakeholders in student activities and document the societies they impact.
• Utilize data visualizations to tell the complete assessment story.