Evaluation of a Maturity Model for the Adoption of Learning Analytics in Higher Education Institutions

Authors

DOI:

https://doi.org/10.17398/1695-288X.19.2.101

Keywords:

Higher Education, Learning Analytics, Politics of Education, Questionnaires, Models

Abstract

Learning Analytics (LA) aims to analyze the data generated by both students and teachers in online environments in order to promote actions to improve teaching and learning processes. The results of such analyzes can help teachers to know their students’ study processes, as well as being able to assist with the verification and correction of both educational activities and practices. For students, LA can help with reflection and self-regulation of learning. However, despite its benefits, institutions have difficulties in adopting it. In this sense, an instrument that can support the use of LA is the Maturity Model (MM), which has been used in different knowledge areas in order to indicate an improvement roadmap for organizations. Hence, this paper aims to present the assessment results of a MM proposed for the adoption of LA in Higher Education Institutions, called MMALA. The evaluation focused on the model composition and was carried out through a questionnaire addressed to LA researchers and professionals. After conducting analyzes, both qualitative and quantitative, suggestions for improvement for the proposed model were identified, and the model was validated, supporting its further development.

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Author Biographies

  • Elyda Laisa Soares Xavier Freitas, Federal University of Pernambuco (UFPE) / Center of Informatics

    Graduated in Information Systems from the University of Pernambuco (UPE) and Master in Computer Science from the Federal University of Pernambuco (UFPE). Has experience in Oracle Database Management, SQL, PL / SQL, Data Warehouse and Business Intelligence development, Cloud Database and programming. She is currently an assistant professor at the University of Pernambuco at the Caruaru campus and a doctoral student at the UFPE Computer Center, conducting research in the areas of Learning Analytics and Non-Relational Databases.

  • Fernando da Fonseca de Souza, Federal University of Pernambuco / Center of Informatics

    He holds a Bachelor's degree in Civil Engineering from the Federal University of Pernambuco (1976), master's degree in computer science from the Federal University of Pernambuco (1982) and a Ph.D. in Computer Sscience from the University Of Kent At Canterbury (1990). He is currently an Associate Professor in the Informatics Center of the Federal University of Pernambuco. He has experience in the area of computer science with an emphasis in databases, working mainly on the following themes: Strategic Information Management, Cloud Databases, Virtual Learning Environments and Accessibility.

  • Vinicius Cardoso Garcia, Federal University of Pernambuco / Center of Informatics

    Dr. Vinicius Garcia is an adjunct professor in the Software Engineering area at Federal University of Pernambuco, Brazil, where he is member of the LABES (Software Engineering Lab), is a senior member of the RiSE (Reuse in Software Engineering) Group and actually is the leader of the ASSERT (Advanced System and Software Engineering Research Technologies) Lab.

  • Taciana Pontual da Rocha Falcão, Federal Rural University of Pernambuco (UFRPE) / Department of Computing

    is a professor and researcher at the Federal Rural University of Pernambuco (UFRPE) in the area of ​​Human-Computer Interaction (IHC) and a member of the Graduate Programs in: Technology and Management in Distance Education (PPGTEG-UFRPE) and Applied Informatics (PPGIA) -UFRPE) PhD from the Institute of Education (IoE) - University of London, UK, her doctoral research dealt with how tangible interfaces can contribute to the learning of children with intellectual difficulties. Graduated (2004) and master's (2007) in Computer Science from the Federal University of Pernambuco. He was an interaction designer at CESAR Recife from 2010 to 2013, and a researcher at the London Knowledge Lab (University of London) in the area of ​​tangible interfaces for education, from 2008 to 2010. He has also worked at NAAH / S-Recife, activities center for children with high skills. He did post-doctoral studies at McGill University - Canada, working with the development of technologies to support the communication of the elderly. His interests include: tangible interfaces for education, technologies for education, teaching programming, computational thinking, digital games in educational contexts, usability, user experience and accessibility.

  • Elaine Cristina Moreira Marques, Federal Rural University of Pernambuco (UFRPE) / Department of Computing
        PhD student in Biometrics and Applied Statistics at the Federal Rural University of Pernambuco (UFRPE) - Recife (2019). Master in Biometrics and Applied Statistics from the Federal Rural University of Pernambuco (UFRPE) - Recife (2018). Graduated in Statistics (Bachelor) from the Federal University of Paraíba - João Pessoa (2015). She is currently a Distance Tutor at the Federal Institute of Education, Science and Technology of Pernambuco - (IFPE) - Recife (2019). She was substitute professor at the Federal Rural University of Pernambuco (UFRPE) - Recife (2018). She was an intern at the Brazilian Micro and Small Business Support Service Company - SEBRAE / PB, at the Strategic Management and Monitoring Unit (UGEM) - João Pessoa (2015). Works in the area of ​​Probability and Statistics, Biological Testing and Bioequivalence, Experiment Planning and in the area of ​​Artificial Intelligence (AI) with an emphasis on Text Mining (MT), with a focus on information retrieval (IR) and text classification (TC) ).
  • Rafael Ferreira Mello, Federal Rural University of Pernambuco (UFRPE) / Department of Computing

    Rafael Ferreira Mello is a doctor in computer science with research interests that include natural language processing, learning analytics and educational technology. He is a professor at the Federal Rural University of Pernambuco, Brazil, where he is one of the coordinators of the Artificial Intelligence Laboratory (https://aiboxlab.org/), develops several initiatives related to learning analytics (LA) and supervises undergraduate students and postgraduate studies. Dr. Mello held a postdoc at the University of Edinburgh School of Informatics in 2018, where he continues to have collaborations. He has worked on several multinational research projects, involving academic partners and companies in Europe, Australia, the United States and Latin America. Dr. Mello's previous experience also includes a research project funded by Hewlett-Packard, where he served as a technical leader. A key theme of his recent research has been the use of natural language processing applied as education and themes more focused on text analysis such as summarization and classification.

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Published

2020-12-13

Issue

Vol. 19 No. 2 (2020)

Section

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How to Cite

Evaluation of a Maturity Model for the Adoption of Learning Analytics in Higher Education Institutions. (2020). Latin American Journal of Educational Technology - RELATEC, 19(2), 101-113. https://doi.org/10.17398/1695-288X.19.2.101

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