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In the denouement of the COVID-19 pandemic, talk of a return to “normalcy” in higher education belies the great challenges and ongoing disruptions that yet lie ahead for many institutions. Public perceptions of the value of postsecondary education continue their downward slide, placing institutions in the position of having to demonstrate their worth and find solutions to declining enrollments. Data and analytics capabilities continue to evolve, introducing new opportunities and new risks to the institution. Chief among these capabilities, generative AI promises to change teaching and learning in ways many of us have yet to fully understand or prepare for.

For this year’s teaching and learning Horizon Report, expert panelists’ discussions highlighted and wrestled with these present and looming challenges for higher education. This report summarizes the results of those discussions and serves as one vantage point on where our future may be headed.

Executive Summary: Maynooth University Student Feedback and Teaching Evaluation Initiative: Literature Review Executive Summary.

This resource is an executive summary of a key literature review which stemmed from an interdisciplinary project that examines how qualitative and quantitative student feedback and evaluation of teaching methods, at module and programme level, can help to enhance student learning and contribute to the continuing professional development of staff who teach.