University of Applied Sciences Emden Leer
Hochschulschriftenserver der Hochschule Emden/LeerNot a member yet
509 research outputs found
Sort by
The Heb@AR App – Five Augmented Reality Trainings for Self-Directed Learning in Academic Midwifery Education
No full textThe academization of midwifery education entails novel challenges. To second the
transition process, the Heb@AR App is an innovative Augmented Reality (AR) training application.
It is currently being deployed for self-directed and curricular on-site learning in several midwifery
degree programs in Germany. The aim is to strengthen students’ practical competencies, especially
for emergency situations. Hereby, the Heb@AR App is available through the app store on handheld
(Android & iOS) devices for free and currently offers five midwifery-specific training scenarios
TrainAR: Ein Augmented Reality Training Autorensystem
No full textDieser Beitrag beschreibt TrainAR, ein kostenloses Open-Source-Autorensystem mit dem prozedurale Smartphone-basierte Augmented-Reality-Trainings (AR-Trainings) mittels 3D-Scanning und visueller Programmierung erstellt werden können. Es soll Fachexperten befähigen, eigenständig interaktive AR-Trainings zu entwickeln und einzusetzen. TrainAR wurde bereits in mehreren Forschungsprojekten und aktiv in der Lehre an der Hochschule Emden/Leer eingesetzt, um AR-Trainings zu verwirklichen. Nach der Veröffentlichung, Entwicklung mehrerer Trainings und ersten Evaluationsergebnissen wird TrainAR zurzeit systematisch evaluiert
Studium ohne Abitur – Bildungsentscheidungen und biografische Übergänge
No full textDer Beitrag diskutiert zwei Biografien nicht-traditionell Studierender, die den Hoch-
schulzugang über das Ablegen einer Zulassungsprüfung erhalten haben. Zur Re-
konstruktion der Motivstrukturen und der weiterführenden biografischen Verläufe
nach dem Studium wurden narrative Interviews mit der Objektiven Hermeneutik
ausgewertet. Beide Fälle stehen für ausgeprägte Erfolgsgeschichten, unterschei-
den sich jedoch hinsichtlich der Motive, Werthaltungen, Strategien und Zielvor-
stellungen, die auch durch Familie und Milieu geprägt sind. Abschließend erfolgt
ein Fallvergleich, der auf die hohe Bedeutsamkeit von Bildungsoptionen für diese
Personengruppe hinweist
Fuzzy Inference Model for Decision Support in Sustainable Production Planning Processes—A Case Study
No full textDue to crises (e.g., climate crisis, extinction of species, shortage of natural resources, human health crisis), customer requirements for conventionally produced products shift to more sustainably produced products, reducing and avoiding negative environmental and social impacts. Circular thinking in production systems offers new opportunities to meet these new customer expectations. However, it enlarges new challenges for production planning too. Research gaps exist in production planning approaches, considering all three sustainability aspects (economic, environmental, and social) simultaneously. This paper presents a concept of a fuzzy inference model (FIM) to assess the sustainability of production programs. The FIM concept is demonstrated and tested using a single case study considering lab production schedules. The model’s outcome indicates the most significant opportunities to improve production programs’ sustainability using experts’ knowledge
MBS model for control and optimization of a hydrofoil boat
No full textThe most efficient hull concept for racing boats is a hull completely lifted out of the water by a configuration of hydrodynamic foils. Due to its similarity to an inverted pendulum, the system is intrinsically unstable and requires control mechanisms. This paper describes a typical configuration of a hull and the hydrofoils and the corresponding MBS model. The MBS-model allows studying parameters for control and hydrofoil positions and is coupled with a global optimizer to choose the most beneficial set of parameters
Preschoolers’ Profiles of Self-regulation, Social-emotional and Behavior Skills and Its Prediction for a Successful Behavior Adaptation during the Transitional Period from Preschool to Elementary School
No full textResearch Findings: A successful transition from preschool to elementary school requires a high level of behavioral adaptation. The aim of our study was to analyze child-related factors in preschool that facilitate a positive behavioral adaptation in the transitional period to elementary school. A cluster analysis was conducted with the data from 406 preschoolers, in order to identify profiles based on self-regulation skills, social-emotional competences, and externalizing behavior problems. Using structural equation modeling, we then tested a regression model to examine which preschool profile adequately manages to adapt their behavior for elementary school. The profile clustering showed that behavior problems occurred when self-regulation skills were low, despite existing (moderate) social-emotional competences. Moreover, low levels of self-regulation skills in preschool predicted difficulties in behavioral adaptation at school, especially concerning hyperactivity, even when children possessed moderate social-emotional competences. Practice or Policy: Most notably, the results reinforce the relevance of promoting early self-regulation skills to support children in their behavioral adaptation process during the transitional period from preschool to elementary school
Eye Movements in VR Training: Expertise Measurement and it’s Meaning for Adaptive Chess Training
No full textObserving behavior can provide insights into mental states and cognitive processes. In the context of expertise measurement, research is taking advantage of analyzing gaze-based data to understand those underlying processes. The movements of the eyes represent search strategies in problem-solving scenarios, which can be used to distinguish a novice from a person that is more experienced with the topic and the solving process. Applications such as learning environments can be improved by taking expertise into account, as expertise-related instructions and design-decisions could then be adjusted to the learner’s individual needs. In the following, we will discuss the meaning of expertise and instruction design for learning in more detail. Prior work has shown that different groups of expertise can be distinguished using eye movements. We verify this for virtual reality-based chess trainings by presenting a study on chess problem solving in VR. Based on these findings, we discuss suggestions for the implementation of adaptive learning applications on the example of chess
Acceptance by Design: Voice Assistants
No full textVoice Assistants (VAs), Speech-based Technology (SBT), and Voice User Interfaces (VUI) have gained popularity in recent years; however, privacy concerns stop people from using them. Although the terms are used for slightly di?erent purposes, we mainly use "VAs" for simplicity. To increase the adoption rate and address users’ needs, we propose reducing barriers with Acceptance by Design. By that, we mean using, e.g., VA designs that implicitly show if they collect data or how much data is collected. We can do that by ?rst exploring the user requirements and concerns with methods from the Human-Centered Design Process [4] to provide guidelines for the future. This is a complex challenge that requires a deep understanding from di?erent disciplines to design VAs for users skeptical about them. The HCD o?ers a holistic approach for capturing user requirements or discovering new dimensions of the UX that in?uence the user’s perception or awareness of the interactive system. We must keep in mind that users have di?erent needs (e.g., children vs. parents vs. people with disabilities) that could result in di?erent design solutions. Research has already started to explore with questionnaires [9, 10] and interviews the risks and opportunities of VAs (e.g., cultures [6, 22], use cases [1, 3], existing users, or potential users [1, 3, 22]). Furthermore, these guidelines might help others to design future interactive systems for di?erent use cases, such as augmented reality glasses for university students in labs
Guest Editorial: Cloud-Edge Computing for Cyber-Physical Systems and Internet of Things
No full textThis Special Section on ‘`Cloud-Edge Computing for Cyber-Physical Systems and Internet-of-Things’' is oriented to the dissemination of a few of those latest research and innovation results, covering many aspects of design, optimization, implementation, and evaluation of emerging cloud-edge solutions for CPS and IoT applications. The selected high-quality contributions cover a broad range of novel technologies and application scenarios in CPS and IoT. We hope that these accepted papers will produce long-lasting impacts, as well as stimulating and encouraging the international community to work on this exciting and impactful topic