79 research outputs found
Analytical validation of innovative magneto-inertial outcomes: a controlled environment study.
peer reviewe
Essays on Digital Healthcare and Inclusion
This dissertation consists of two main parts in seven essays: Five essays revolve around digital healthcare, while two additional essays cover teachers’ attitude towards inclusion. The first three essays are about the use of telehealth software in chronic disease treatment, using the case of hemophilia. Essays IV and V discuss the development of a 3D-software prototype to provide medical models to novice surgeons or other practitioners. The last two essays present a study on what impacts a teacher’s attitude towards inclusion in vocational education.
Essay I develops the model and hypotheses which are used in essay II. It combines and adopts several existing models to cover factors that could influence a physician’s decision to recommend a telehealth app to a patient. Essay II builds on this work and tests the model with survey data. The results show that physicians are more likely to recommend a software if they use the software themselves and if they perceive the software to improve their workplace processes.
Essay III turns the perspective of the first two essays and investigates which factors influence a patient to use a telehealth app. This was researched by creating a model based on a combination of existing models that describe the behavior of software users and models of patient behavior. Its results indicate that hedonic motivation has an influence, meaning that healthcare apps still need to provide some level of engagement. The other significant influence was cues to action from the social environment, which includes physicians. This additionally validates the necessity of the study undertaken in the first two essays, where the reasoning for a physician to give such an advice was analyzed.
Essay IV and V show the development of a hardware/software prototype to solve current shortcomings in the field of surgical-adjacent medicine, like soft-tissue fillers. Facial treatments, even for aesthetic purposes, often involve unnecessary patient risk due to treatment by unexperienced practitioners and/or a lack of standardized procedures. The developed prototype focuses on affordability and helps in treatment planning and professional self-development. Essay IV focuses on the architecture of the prototype itself, while essay V adds an exemplary embedding into a treatment process and a test in a live treatment.
Essays VI and VII investigate factors influencing vocational teachers’ attitude towards inclusion. Essay VI is the pilot study. The inclusion-related attitudes of teachers are considered to be essential predictors for their pedagogical and inclusion-related perception and action in inclusive lessons as well as for the teaching success. The results show that previous experiences with inclusion, self-efficacy and the understanding of teaching and learning are the main predictors for a teacher’s personal willingness to act in an inclusive environment
A Low-Cost System Using a Big-Data Deep-Learning Framework for Assessing Physical Telerehabilitation: A Proof-of-Concept
The consolidation of telerehabilitation for the treatment of many diseases over the last
decades is a consequence of its cost-effective results and its ability to offer access to rehabilitation in
remote areas. Telerehabilitation operates over a distance, so vulnerable patients are never exposed to
unnecessary risks. Despite its low cost, the need for a professional to assess therapeutic exercises
and proper corporal movements online should also be mentioned. The focus of this paper is on
a telerehabilitation system for patients suffering from Parkinson’s disease in remote villages and
other less accessible locations. A full-stack is presented using big data frameworks that facilitate
communication between the patient and the occupational therapist, the recording of each session,
and real-time skeleton identification using artificial intelligence techniques. Big data technologies are
used to process the numerous videos that are generated during the course of treating simultaneous
patients. Moreover, the skeleton of each patient can be estimated using deep neural networks for
automated evaluation of corporal exercises, which is of immense help to the therapists in charge of
the treatment programs.This work was supported by project PI19/00670 of the Ministerio de Ciencia, Innovación y Universidades, Instituto de Salud Carlos III, Spain. The authors gratefully acknowledge the support of the NVIDIA Corporation and its donation of the TITAN Xp GPU used in this research. In addition, this work was partially supported by the European Social Fund, as the authors José Miguel Ramírez-Sanz, José Luis Garrido-Labrador, and Alicia Olivares-Gil are the recipients of a pre-doctoral grant (EDU/875/2021) from the Conserjería de Educación de la Junta de Castilla y León
Applied Cognitive Sciences
Cognitive science is an interdisciplinary field in the study of the mind and intelligence. The term cognition refers to a variety of mental processes, including perception, problem solving, learning, decision making, language use, and emotional experience. The basis of the cognitive sciences is the contribution of philosophy and computing to the study of cognition. Computing is very important in the study of cognition because computer-aided research helps to develop mental processes, and computers are used to test scientific hypotheses about mental organization and functioning. This book provides a platform for reviewing these disciplines and presenting cognitive research as a separate discipline
5th International Open and Distance Learning Conference Proceedings Book = 5. Uluslararası Açık ve Uzaktan Öğrenme Konferansı Bildiri Kitabı
In celebration of our 40th anniversary in open and distance learning, we are happy and proud to organize the 5th International Open & Distance Learning Conference- IODL 2022, which was held at Anadolu University, Eskişehir, Türkiye on 28-30 September 2022. After the conferences in 2002, 2006, 2010, and 2019, IODL 2022 is the 5th IODL event hosted by Anadolu University Open Education System (OES)
AI in Learning: Designing the Future
AI (Artificial Intelligence) is predicted to radically change teaching and learning in both schools and industry causing radical disruption of work. AI can support well-being initiatives and lifelong learning but educational institutions and companies need to take the changing technology into account. Moving towards AI supported by digital tools requires a dramatic shift in the concept of learning, expertise and the businesses built off of it. Based on the latest research on AI and how it is changing learning and education, this book will focus on the enormous opportunities to expand educational settings with AI for learning in and beyond the traditional classroom. This open access book also introduces ethical challenges related to learning and education, while connecting human learning and machine learning. This book will be of use to a variety of readers, including researchers, AI users, companies and policy makers
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