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

Samantha Garcia, Elaine Marques, Rafael Ferreira Mello, Dragan Gaševic, Rodrigo Lins Rodrigues, Taciana Pontual Falcão

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)


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

Original languageEnglish
Title of host publicationIV Conferencia Latinoamericana de Analíticas de aprendizaje
Subtitle of host publicationProceedings
EditorsKlinge Orlando Villalba-Condori
Place of PublicationSan Jose Peru
PublisherUniversidad Catolica de Santa Maria
Number of pages10
Publication statusPublished - 2021
EventLatin American Conference on Learning Analytics, LALA 2021 - Arequipa, Peru
Duration: 19 Oct 202121 Oct 2021
Conference number: 4th


ConferenceLatin American Conference on Learning Analytics, LALA 2021
Abbreviated titleLALA 2021
Internet address


  • Higher education
  • Instructor expectations
  • Learning analytics
  • Student expectations

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