Coded Dataset of a Literature Review on Learning Sequence Analysis (dataset)

Coded Dataset of a Literature Review on Learning Sequence Analysis

doi:10.4121/10fc3a10-37aa-4292-818d-468b940b2bb7.v1

Datacite citation style:

Valle Torre, Manuel; Specht, Marcus; Oertel, Catharine (2023): Coded Dataset of a Literature Review on Learning Sequence Analysis . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/10fc3a10-37aa-4292-818d-468b940b2bb7.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version: version 2 - 2023-12-06 (latest)

version 1 - 2023-05-24

usage stats

352

views

908

downloads

categories

keywords

Educational Data Mining, Learning Analytics, Learning Sequence Analysis, Literature Review, Sequence Analysis

time coverage

2006-2021

licence

CC0

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RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Manuel Valle Torre , Marcus Specht , Catharine Oertel

Coded dataset of a literature review on the use of sequential analysis in learning analytics and educational data mining research. The analysis was performed on 44 publications from 2006 to 2022, obtained from queries on SCOPUS and Web of Science. Visit the literature review for detailed information about the search terms, inclusion rules, and coding categories.

The worksheet named 'Finished' contains the data that resulted in the analysis and interpretation of the literature review, while the 'Raw' worksheet contains the information as it was extracted from Atlas.ti, where it was originally coded.

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