Sabine Seufert
Thumbnail Image
Title
Prof. Dr.
Last Name
Seufert
First name
Sabine
Email
sabine.seufert@unisg.ch
Phone
+41 71 224 2632
Homepage

Filters

4 3
Reset filters

Settings
Now showing 1 - 7 of 7
No Thumbnail Available
Publication

Individualisierung in der beruflichen Bildung durch Hybrid Intelligence. Potentiale und Grenzen

2021 , Söllner, Matthias , Janson, Andreas , Rietsche, Roman , Thiel de Gafenco, Marian , Seufert, Sabine , Guggemos, Josef , Ifenthaler, Dirk , Ertl, Hubert , Seifried, Jürgen

View
No Thumbnail Available
Publication

Social robots in education: conceptual overview and use case of academic writing

2022-01 , Guggemos, Josef , Seufert, Sabine , Sonderegger, Stefan , Burkhard, Michael , Ifenthaler, Dirk , Isaías, Pedro , Sampson, Demetrios

Social robots are increasingly being used in education. They can take over various roles including teaching assistant, tutor, and novice. This chapter aims to provide a conceptual overview of the phenomenon. A classification of social robots is outlined; the criteria are: visual appearance, social capabilities, and autonomy and intelligence. The majority of robots used in education are humanoid; Nao from SoftBank Robotics is a quasi-standard type. An important social capability is empathy; a model illustrating how a robot can show empathy is discussed. A taxonomy is presented in order to capture the various degrees of robot autonomy. To achieve autonomy, artificial intelligence is necessary. This chapter advocates for a symbiotic design approach where tasks are collaboratively carried out by the teacher and the social robot, utilizing the complementary strength of both parties. This may be in line with the concept of hybrid intelligence. The ethical aspects of social robot use are explored, including privacy, control, responsibility, and the role of teachers. Moreover, the acceptance of social robots is discussed. Overall, attitudes towards social robots seem to be positive; however, there are also contrary findings. Finally, results are presented from a technology acceptance study with a sample of N = 462 university students from the social sciences. The chapter closes with suggestions for further research.

View
No Thumbnail Available
Publication

Learning Organizations in the Age of Smart Machines. Fusion Skills, Augmentation Strategies, and the Role of HRD Professionals

2021-01 , Meier, Christoph , Seufert, Sabine , Guggemos, Josef , Spirgi, Judith , Ifenthaler, Dirk , Hofhues, Sandra , Egloffstein, Marc , Helbig, Christian

View
No Thumbnail Available
Publication

Artificial Intelligence Education in the Context of Work

2022 , Ifenthaler, Dirk , Seufert, Sabine

View
No Thumbnail Available
Publication

AI-supported systems for integrated skills-management and skills-development

2022-11 , Meier, Christoph , Seufert, Sabine , Ifenthaler, Dirk , Seufert, Sabine

View
No Thumbnail Available
Publication

Computational Thinking Assessment – Towards More Vivid Interpretations

2022-01-27 , Guggemos, Josef , Seufert, Sabine , Román-González, Marcos , Ifenthaler, Dirk

View
No Thumbnail Available
Publication

Using AI-Based LinkedIn Video Platform for Personalised Learning: The Case at Infineon Technologies

2022 , Spirgi, Judith , Tronsberg, Julia , Ifenthaler, Dirk , Seufert, Sabine

View