@misc{13583,
  abstract     = {{Organ transplantation is associated with significant physical and psychological burden for the recipients. Qualitative reports indicate that organ recipients develop donor and donation images (DDI)—conceptions of the donor and/or the organ. A deeper understanding of DDI is needed in the care of transplant recipients. To present the current state of knowledge, we searched for and identified DDI-related publications in PubMed and Scopus. Inclusion criteria were (1) studies addressing transplant recipients, and (2) English or German language. Twenty-one studies of individuals with transplanted hearts, lungs, or kidneys were included in this scoping review. Prevalence for DDI ranged from 6% to 52.3%. DDI occurs both before and after transplantation and includes ideas about the donor as well as whether and how the recipient’s personality may be altered by the transplanted organ. Some transplant recipients did indeed report personality changes following transplantation due to the adoption of assumed donor characteristics. One study showed a positive association between the presence of DDI and anxiety scores and one described a coping effect. DDI is understudied and should be systematically assessed to improve care for the vulnerable group of individuals undergoing organ transplantation. Current research gaps and future directions are discussed.}},
  author       = {{Laskowski, Nora M.  and Brandt, Gerrit and Tigges-Limmer, Katharina and Halbeisen, Georg and Paslakis, Georgios}},
  booktitle    = {{Journal of Clinical Medicine}},
  issn         = {{2077-0383}},
  keywords     = {{donor image, donation image, organ integration, organ transplantation, heart transplantation, lung transplantation, kidney transplantation, DDI, psychocardiology, scoping review}},
  number       = {{3}},
  publisher    = {{MDPI}},
  title        = {{{Donor and Donation Images (DDI)-A Scoping Review of What We Know and What We Don't}}},
  doi          = {{10.3390/jcm12030952}},
  volume       = {{12}},
  year         = {{2023}},
}

@misc{12796,
  abstract     = {{This Design-Based Research (DBR) project aims to develop an intelligent tutoring system (ITS) for higher education. The system will collect teaching and learning materials in audio and video formats (e.g., podcasts, lecture recordings, screencasts, and explainer videos), and store them on a learning experience platform (LXP). Then, the ITS will process them with the help of speech recognition to gain data which, in turn, will be used to power further applications: Using artificial intelligence (AI), the platform will allow users to search the materials, automatically compiling them according to criteria like lesson subject, language, medium, or required prior knowledge. By the end of the last DBR cycle, the ITS will also provide a more active form of support: It will automatically generate exercises based on predefined patterns and teaching materials, thus allowing learners to check up on their learning progress autonomously. In order to closely match the ITS's features to the needs and learning habits of students in higher education, the development of this AI-based tutoring system is accompanied by an interdisciplinary team which will continuously re-evaluate and adapt the concept over the course of several DBR cycles. Our goal is to derive implications for the system's technical development by collecting and evaluating educational research data (mixed methods design; primary and secondary research methods).}},
  author       = {{Schmohl, Tobias and Schelling, Kathrin and Go, Stefanie and Thaler, Katrin Jana and Watanabe, Alice}},
  booktitle    = {{Proceedings of the 14th International Conference on Computer Supported Education - Vol. 2}},
  editor       = {{Cukurova, Mutlu  and Rummel, Nikol  and Gillet, Denis  and McLaren, Bruce  and Uhomoibhi, James }},
  keywords     = {{Artificial Intelligence in Higher Education, Design-based Research, Intelligent Tutoring System, Participatory Technology Design, Scoping Review}},
  location     = {{Online}},
  pages        = {{179--186}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{Development, Implementation and Acceptance of an AI-based Tutoring System: A Research-Led Methodology}}},
  doi          = {{10.5220/0011068500003182}},
  year         = {{2022}},
}