Assessing the assessment. A deep dive into assessment phases and the use of AI support.

Autor/inn/en	Greif, Carina; Schmocker, David; Matti, Thomas; Klarer, Franziska; Blume, Dana; Woschnack, Ute; Feixas, Monica
Titel	Assessing the assessment. A deep dive into assessment phases and the use of AI support.
Quelle	Aus: Blume, Dana (Hrsg.); Volk, Benno (Hrsg.): Hochschullehre im digitalen Zeitalter. Theorie und Praxis zukunftsfähiger Lern- und Lehrprozesse. Bielefeld: transcript (2026) S. 197-226 PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	Medien- und Gestaltungsästhetik. 21
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISSN	2569-1767; 2703-0849
ISBN	978-3-8376-7751-5; 978-3-8394-0541-3
URN	urn:nbn:de:0168-ssoar-107454-7
Schlagwörter	Künstliche Intelligenz; Lehre; Zukunftsforschung; Wissenschaft; Hochschuldidaktik; Hochschule; E-Learning; Ausland; Schweiz
Abstract	In education, assessment is a continuous process encompassing a range of work phases, including planning, design, implementation, and evaluation. These phases are fundamental to the creation of effective learning environments, regardless of the assessment format. As part of the LeLa ('Learning Lab Higher Education Didactics for Digital Skills') project, educational developers from five universities in the Canton of Zurich - the University of Zurich (UZH), the Swiss Federal Institute of Technology (ETH), the Zurich University of Teacher Education (PHZH), the Zurich University of the Arts (ZHdK) and the Zurich University of Applied Sciences (ZHAW) - collaborated to outline the constituent phases of an assessment cycle and to explore how generative artificial intelligence (AI) might be integrated into this process. Specifically, the potential of AI to enhance the efficiency of the assessment process, to stimulate creativity, and to provide targeted support for assessment improvement was investigated. The main outcome of this collaboration is a graphical representation of an assessment cycle which includes key tasks for each work phase, practical tips, and resources provided by the participating universities. It also offers guidance on the use of AI and includes example prompts for each work phase. (HRK / Abstract übernommen).
Erfasst von	Hochschulrektorenkonferenz, Bonn
Update	2026/4