Towards a User Focused Development of a Digital Study Assistant through a Mixed Methods Design [Konferenzbericht] Paper presented at the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (18th, Virtual, Oct 13-15, 2021.

Autor/inn/en	Schurz, Katharina; Schrumpf, Johannes; Weber, Felix; Lübcke, Maren; Seyfeli, Funda; Wannemacher, Klaus
Titel	Towards a User Focused Development of a Digital Study Assistant through a Mixed Methods Design [Konferenzbericht] Paper presented at the International Association for Development of the Information Society (IADIS) International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) (18th, Virtual, Oct 13-15, 2021.
Quelle	(2021), (8 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Higher Education; Foreign Countries; Artificial Intelligence; Independent Study; Electronic Learning; College Students; Student Attitudes; Educational Technology; Germany + Suchen Sie Ihr Suchwort? Hochschulbildung; Hochschulsystem; Hochschulwesen; Ausland; Künstliche Intelligenz; Selbststudium; Collegestudent; Schülerverhalten; Unterrichtsmedien; Deutschland
Abstract	Digital Study Assistants (DSA) aim to support individual learning processes by designing them appropriately and efficiently based on recommendations. In this paper we present a prototype of a DSA for students in higher education of three German universities. The digital data driven DSA is integrated into the local learning management system and consists of recommender modules with a certain kind of recommendation for a specific purpose, e.g., recommending Academic Contacts that fit an expressed academic interest. The modules implemented so far use a wide range of methods: Classic rule-based Artificial Intelligence (AI) or Neural Networks, that can detect complex features and patterns in large data sets. To evaluate the current prototype of the DSA we used a mixed methods design approach with concurrently collected user data and qualitative data. A first insight in the user data suggests that recommender modules providing personalized recommendations are more likely to be used by students. A focus group discussion with students confirmed these findings with the suggestion to make the DSA more personal, individual, interactive, supportive, and user-friendly. In conclusion we present ideas for the further development of the prototype based on these findings. [For the full proceedings, see ED621108.] (As Provided).
Anmerkungen	International Association for the Development of the Information Society. e-mail: secretariat@iadis.org; Web site: http://www.iadisportal.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01