Students' Educational Goals in Natural Languagedoi:10.26249/FK2/UJWLJ2osnaData2022-02-211Weber, Felix; Thelen, Tobias, 2022, "Students' Educational Goals in Natural Language", https://doi.org/10.26249/FK2/UJWLJ2, osnaData, V1Students' Educational Goals in Natural Languagedoi:10.26249/FK2/UJWLJ2Weber, FelixThelen, TobiasosnaDataWeber, FelixWeber, Felix2022-02-19Medicine, Health and Life SciencesEducational GoalsGoal CharacteristicsHigher EducationWe built this dataset is on 2.262 student goals in natural language, collected at the Universities of Bremen, Hannover, and Osnabrück in 2019. Six independent raters assigned tags from a set of 28 to those goals. The dataset includes the complete data processing pipeline, from raw data to results and figures generated by a data analysis script written in Python. The README.md file describes folders, files, and processing.CC0 Waiver10.33965/celda2020_202014l004Weber, F., & Le Foll, E. (2020). A Tagset for University Students’ Educational Goals. In 17th International Conference on Cognition and Exploratory Learning in the Digital Age, CELDA 2020.10.1007/978-3-030-90944-4_4Weber, F., & Thelen, T. (2022). Characterizing Personal Educational Goals: Inter-rater Agreement on a Tagset Reveals Domain-Specific Limitations of the External Perspective. In D. Ifenthaler, P. Isaias, & D. G. Sampson (Eds.), Orchestration of Learning Environments in the Digital World (pp. 57–80). Springer International Publishing.goal_processing_pipeline.zipArchive with data, documentation, and code.application/zip