Article
Refine
Year of publication
- 2024 (2)
- 2023 (3)
- 2022 (3)
- 2021 (4)
- 2020 (7)
- 2018 (1)
- 2016 (2)
- 2015 (3)
- 2014 (5)
- 2013 (3)
- 2012 (4)
- 2010 (2)
- 2009 (4)
- 2008 (3)
- 2007 (5)
- 2006 (2)
- 2005 (1)
- 2004 (2)
- 2003 (6)
- 2002 (3)
- 2001 (4)
- 2000 (2)
- 1999 (7)
- 1998 (2)
- 1997 (3)
- 1996 (6)
- 1995 (2)
- 1994 (8)
- 1993 (3)
- 1992 (2)
- 1991 (3)
- 1990 (5)
- 1987 (1)
- 1986 (2)
- 1984 (1)
Institute
- Fachbereich Wirtschaftswissenschaften (116) (remove)
Language
- English (116) (remove)
Document Type
- Article (116) (remove)
Keywords
- rebound-effect (2)
- sustainability (2)
- Bank-issued Warrants (1)
- Brands (1)
- Centrifugal twisting moment (1)
- Change (1)
- Charging station (1)
- Clinical decision support systems (1)
- Consensus (1)
- Discourse ethics (1)
Info-Web-Generation
(2004)
In this article, we introduce how eye-tracking technology might become a promising tool to teach programming skills, such as debugging with ‘Eye Movement Modeling Examples’ (EMME). EMME are tutorial videos that visualize an expert's (e.g., a programming teacher's) eye movements during task performance to guide students’ attention, e.g., as a moving dot or circle. We first introduce the general idea behind the EMME method and present studies that showed first promising results regarding the benefits of EMME to support programming education. However, we argue that the instructional design of EMME varies notably across them, as evidence-based guidelines on how to create effective EMME are often lacking. As an example, we present our ongoing research on the effects of different ways to instruct the EMME model prior to video creation. Finally, we highlight open questions for future investigations that could help improving the design of EMME for (programming) education.
IT Service Deployment
(2007)
Providing healthcare services frequently involves cognitively demanding tasks, including diagnoses and analyses as well as complex decisions about treatments and therapy. From a global perspective, ethically significant inequalities exist between regions where the expert knowledge required for these tasks is scarce or abundant. One possible strategy to diminish such inequalities and increase healthcare opportunities in expert-scarce settings is to provide healthcare solutions involving digital technologies that do not necessarily require the presence of a human expert, e.g., in the form of artificial intelligent decision-support systems (AI-DSS). Such algorithmic decision-making, however, is mostly developed in resource- and expert-abundant settings to support healthcare experts in their work. As a practical consequence, the normative standards and requirements for such algorithmic decision-making in healthcare require the technology to be at least as explainable as the decisions made by the experts themselves. The goal of providing healthcare in settings where resources and expertise are scarce might come with a normative pull to lower the normative standards of using digital technologies in order to provide at least some healthcare in the first place. We scrutinize this tendency to lower standards in particular settings from a normative perspective, distinguish between different types of absolute and relative, local and global standards of explainability, and conclude by defending an ambitious and practicable standard of local relative explainability.
Knowledge Management
(2001)
Knowledge-based productivity in “low-tech” industries: evidence from firms in developing countries
(2014)
Using firm-level data from five developing countries—Brazil, Ecuador, South Africa, Tanzania, and Bangladesh—and three industries—food processing, textiles, and the garments and leather products—this article examines the importance of various sources of knowledge for explaining productivity and formally tests whether sector- or country-specific characteristics dominate these relationships. Knowledge sources driving productivity appear mainly sector specific. Also differences in the level of development affect the effectiveness of knowledge sources. In the food processing sector, firms with higher educated managers are more productive, and in least-developed countries, additionally those with technology licenses and imported machinery and equipment. In the capital-intensive textiles sector, productivity is higher in firms that conduct R&D. In the garments and leather products sector, higher education of the managers, licensing, and R&D raise productivity.