Two types of redundancy in multimedia learning: a literature review.

Regarding the redundancy effect in multimedia learning environments, more consistency is needed in the theoretical assumptions and investigation of this effect. Current research lacks a comprehensive account of different redundant scenarios in which materials facilitate or inhibit learning and provides little conceptual guidance on how learning processes are affected by different types of redundancy. Theoretical assumptions refer to redundancy as a contentual overlap of information provided by the learning material; in this case, processing duplicated information strains the learners' limited cognitive capacities.

Different types of redundancy and their effect on learning and cognitive load.

Background: What is redundancy? While most studies confirm that redundancy is harmful to learning, there are two theoretical approaches to redundancy. The first understands redundancy as a contentual overlap that puts demand on the limited cognitive capacities of the learner. The second understands redundancy as an ineffective combination of sources leading to an overload of the limited working memory modalities.

[Educational technologies].

Even if the term is not a uniform one and is characterized by different disciplines, the use of (mostly computer-supported) devices and media for analyzing, designing and/or supporting teaching and learning processes can be subsumed under Educational Technologies. Educational technologies are very diverse and can be used on the levels of individual or collaborative learning, teaching, and even school organization. Despite efforts to build a technical infrastructure in schools, national educational monitoring indicates that the perceived ease of use of educational technologies has not increased as a result.

Narrowing down dimensions of e-learning readiness in continuing vocational education - perspectives from the adult learner.

Although e-learning has become an important feature to promote learning experience, still little is known about the readiness of adult learners for e-learning in continuing vocational education. By exploring perceived challenges and benefits, it was our aim to identify dimensions that define e-learning readiness. Therefore, we conducted a study design with qualitative and quantitative components.

University students' profiles of burnout symptoms amid the COVID-19 pandemic in Germany and their relation to concurrent study behavior and experiences.

Burnout symptoms are prevalent among university students. This study examined students' understudied profiles of burnout symptoms and their relation to procrastination, dropout intentions, and study- and life satisfaction. We used cross-sectional data from two online-studies conducted in Germany in April 2020 amid the COVID-19 pandemic (  = 597,  = 857).

Study satisfaction among university students during the COVID-19 pandemic: Longitudinal development and personal-contextual predictors.

The COVID-19 pandemic challenges the well-being and academic success of many students. Yet, little is known about students' study satisfaction during the COVID-19 pandemic, a multilayered construct which accounts for students' subjective cognitive well-being and academic success. Besides, previous studies on study satisfaction are mostly cross-sectional and hardly consider the distinct subdimensions of this construct.

3D surface and body documentation in forensic medicine: 3-D/CAD Photogrammetry merged with 3D radiological scanning.

A main goal of forensic medicine is to document and to translate medical findings to a language and/or visualization that is readable and understandable for judicial persons and for medical laymen. Therefore, in addition to classical methods, scientific cutting-edge technologies can and should be used. Through the use of the Forensic, 3-D/CAD-supported Photogrammetric method the documentation of so-called "morphologic fingerprints" has been realized.

A faster method for 3D/2D medical image registration--a simulation study.

3D/2D patient-to-computed-tomography (CT) registration is a method to determine a transformation that maps two coordinate systems by comparing a projection image rendered from CT to a real projection image. Iterative variation of the CT's position between rendering steps finally leads to exact registration. Applications include exact patient positioning in radiation therapy, calibration of surgical robots, and pose estimation in computer-aided surgery.