Physical, Virtual, and Financial Resources

AI can analyze data from smart sensors and IoT devices embedded in classrooms, study areas, and labs to assess the utilization of physical spaces. It can track occupancy, class sizes, and the usage of learning resources (e.g., whiteboards, projectors, computers). Alternatively, AI can analyze data on classroom capacities and semester-by-semester enrollments at the classroom level.

Using the data provided on classroom capacities and actual enrollments in those classrooms for the semesters [Spring 2023—Summer 2023—Fall 2023—Spring 2024], generate a report showing classrooms that are being used optimally and those that are underutilized.

Student performance data under various seating arrangements, specific classroom layouts, and teaching styles (e.g., collaborative learning, group discussions)

Using the data provided on student performance, classroom seating arrangements, and teaching style, suggest ways in which classroom configurations can be optimized to enhance learning.

Usage logs and analytics generated from LMS, student performance data

Using the data provided at the course-section level about student participation and engagement in the university’s LMS, and student performance data, provide an analysis of potential correlations between patterns of LMS use and student performance. Identify specific opportunities for improvement.

Regular surveys of student satisfaction with virtual learning experience. Data collected over multiple semesters and including indicators of course type (discipline – ACG/FIN/MKT/IS/MAN and level – UG or G) would permit a richer analysis.

Analyze the provided student survey data regarding their experience with the virtual learning environment [LMS] and identify the themes emerging from the surveys. Analyze the data in terms of trends over time [if data are provided for multiple semesters] and patterns across course types or levels [if such data are collected]. Generate specific recommendations for improvement.

Budgets that show technology investments over past 5 years, compared with investment in physical space over past 5 years, along with data on student enrollments by year.

Using the provided data on IT budgets, infrastructure budgets, and student enrollments for the 5 year period, analyze and critique the level of IT investments at the institution.

Same as previous, coupled with student sentiment analysis and narrative or other documents that describe the school’s current financial situation

Using the data provided on student sentiment analysis and the narrative description (or tabulated spreadsheet) file indicating the school’s current financial situation, analyze the data and generate specific recommendations for where additional investments need to be made.