Adopting Learning Analytics in a Brazilian higher education institution:ideal and predicted expectations

Learning Analytics (LA) consists of using educational data to inform teaching strategies and management decisions, aiming to improve students' learning. The successful implementation of LA in Higher Education Institutions (HEIs) involves technical aspects and infrastructure but also stakeholders' acceptance. The SHEILA framework proposes instruments for diagnosis of HEIs for LA adoption, including stakeholders' views. In this paper, we present the results of the application of SHEILA's surveys to identify the highest and lowest expectations about LA adoption, in the views of students and instructors, and compare their ideal and realistic expectations. Results confirmed the high interest in using LA for improving the learning experience, but with ideal expectations higher than realistic expectations, and point out key challenges and opportunities for Latin American researchers to join efforts towards building solid evidence that can inform educational policy-makers and managers, and support the development of strategies for LA services in the region. c 2021