Data bases systematic literature review. Learning analytics evaluating learning outcomes

Published: 31 August 2022| Version 1 | DOI: 10.17632/rjpwyy8shj.1


This database contains the data and stages of a systematic literature review process for identifying the variables and factors associated with learning outcomes using learning analytics.


Steps to reproduce

This process was done by following the guidelines of the PICOC and PRISMA protocols (Kitchenham & Charters, 2007; Moher, Liberati, Tetzlaff, Altman, & PRISMA Group, 2009; Page, McKenzie, et al., 2021a; Page, McKenzie, et al., 2021b). 1. A spreadsheet was created for including query search. 2. We analyzed the title and abstract of the papers listed in the sheet “First phase”, using the inclusion and exclusion criteria. 3. All duplicated papers were marked using a red color. 4. All duplicated papers marked in red were deleted in the sheet name "I phase without duplicates". 5. The information of papers classified papers as “Candidate paper for second phase” is copied to a second sheet named “Second phase”. The papers in the second sheet were analyzed using a quality assessment checklist. 6. The papers that obtained the 80% or more of the maximum score using the quality checklist were selected for the final phase and copied on the sheet named “Final papers”. 7. The papers in the “Final papers” sheet were classified based on their content, considering the research questions.


Tecnologico de Costa Rica, Universidad de Salamanca


Education, Learning, Data Analytics