Rechtssichere Hochschulprüfungen mit und trotz generativer KI
Ordnung der Wissenschaft
2024
85-100
Beliefs in Conspiracy Theories and Online News Consumption during the onset of the COVID-19 pandemic
Journal of Quantitative Description: Digital Media
2024
4
Advancing posthuman methodologies in the study of teaching and learning [Special Issue]
Digital Culture & Education
2023
14.5
Practicing AI Ethics Literacy: 10 scenarios for engaging with AI ethics in education
Practicing AI ethics literacy can enhance the ability to make informed decisions about what AI technologies to use in educational settings and how to use them. The 10 AI ethics scenarios presented in this document show examples of how AI technologies could be used in educational contexts. The scenarios are based on selected reports of how AI technologies have been envisioned for educational settings in student-centered ways. The purpose of the scenarios is to foster discussions about AI ethics, including how AI technologies are implemented in educational settings, what they mean for teaching and learning, and what ethical considerations result from that. Through such conversations, AI ethics literacy can develop, which refers to the ability to identify and communicate about ethical implications of implementing AI technologies in educational settings. The scenarios are productive for fostering AI ethics literacy in relation to a diverse set of AI technologies with different functionalities and associated ethical and legal risks for education.
2024
Algorithmic learning while creating and sharing content on social media
Computer science continues to face lopsided access for all youth. Identifying youth practices that can be leveraged for computational learning can contribute to a transformed participation in computer science because a wider range of people can see themselves in this field and are ready to contribute to shaping it. In this research, we investigate social media practices as youth-driven practices and rich contexts for computational learning. We thematically analyzed 13 semi-structured interviews with girls (ages 13-18) in Latin America and Europe that also included social media walkthroughs. We translated the youth-practices on social media into pseudo-code to show the computational depth of their everyday, repeated practices, and, in some cases, mundane practices. We found three youth-driven social media practices that can inform the design of youth-driven computational learning activities. These are: (a) Content sharing as flow control structures, (b) content curation as a loop, and (c) playing with algorithms. We highlight the computational themes with data excerpts to illustrate the possibilities of social media as a context for computational learning. We present implications for the design of computational learning opportunities in the form of connected algorithmic learning workshops that are part of future plans for this research and are promising for broadening computing cultures.
2023
Fabric Crafts in Soft Robotics Toward Connected Engineering Learning
Soft robotics is an emerging field that can support equitable STEM education. We investigated one approach to implement soft robotics with materials socio-culturally associated with underrepresented people in STEM, such as women, and can provide different ways of engagement for all learners. Specifically, fiber crafts materials have increasingly become important design materials for soft robotics and engineering education. Yet, it remains underexplored how they can best be implemented in engineering education to promote inclusive engineering learning. Drawing on a connected learning approach, this study explores the design of a fiber-crafts based soft-robotics activity within US middle school setting. We researched demonstrations of engineering ideas and connected learning design principles that were aligned with research on engineering education for girls. In this presentation, we investigate two cases that lie in the intersection of soft robotics actuation and fabric that showcases how placing fabric at the center of soft robotics learning activities can legitimize youth practices by connecting familiarity, personal interests, and emotions with core engineering practices. Yet, more instruction is needed to support all youth.
2022
Creating a doll skirt or a basket: Performing proportional reasoning and spatial visualization
2022
Mapping Posthuman Methodological Innovation in the Study of Learning
The workshop aims to contribute to a mapping of posthumanist methodological innovations for the study of learning and to advance understanding of how these approaches can contribute to studying learning across contexts. Such approaches may include new technological advances for capturing movement of sound, heat cameras, and other machine-readable data points that can be translated across senses, as well as embodied practices which directly engage humans and other-than-humans with senses and materiality. A particular goal of the workshop is to collaboratively create a visual map of existing approaches and how they interlink and advance understanding of learning. Additionally, the proposed workshop will be a continuation and extension of our prior events, a connector between ISLS and BERA researchers working in this area, and a dissemination activity of the Digital Culture and Education Journal special issue.
2022