A Free and Open Dataset from a Prototypical Data-driven Study Assistant in Higher Education

Johannes Schrumpf, Felix Weber, Katharina Schurz, Niklas Dettmer, Tobias Thelen

2022

Abstract

Digital study assistants (DSAs) are an as of yet sparsely explored method to build bridges between classical, on-campus higher education and novel digital education opportunities. The DSA we present in this paper (SIDDATA) aims at supporting students to identify, reflect upon and follow their personal educational goals. Over the course of 11 months, students interacted with a prototype version 2.0 of the software, generating data about what features were interacted with, users' study-related data, and which features were deemed as useful. In this data paper, we present a preprocessed version of the DSA database for research in the domain of digital higher education. We present the data model design of the DSA and its relation to its’ features. We further expand on the data extraction method used to generate the present dataset from the DSA’s database. We discuss potential research paths that can be explored based on the dataset as well as its limitations

Paper Citation

in Harvard Style

Schrumpf J., Weber F., Schurz K., Dettmer N. and Thelen T. (2022). A Free and Open Dataset from a Prototypical Data-driven Study Assistant in Higher Education. In Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU, ISBN 978-989-758-562-3, pages 155-162. DOI: 10.5220/0011038800003182

in Bibtex Style

@conference{csedu22,
author={Johannes Schrumpf and Felix Weber and Katharina Schurz and Niklas Dettmer and Tobias Thelen},
title={A Free and Open Dataset from a Prototypical Data-driven Study Assistant in Higher Education},
booktitle={Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,},
year={2022},
pages={155-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011038800003182},
isbn={978-989-758-562-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Computer Supported Education - Volume 2: CSEDU,
TI - A Free and Open Dataset from a Prototypical Data-driven Study Assistant in Higher Education
SN - 978-989-758-562-3
AU - Schrumpf J.
AU - Weber F.
AU - Schurz K.
AU - Dettmer N.
AU - Thelen T.
PY - 2022
SP - 155
EP - 162
DO - 10.5220/0011038800003182