Instructional Designer Awareness and Application of Strategies to Manage Cognitive Load

This study examined how practicing instructional designers manage cognitive load in a standardized scenario as they select and implement instructional strategies, message design, content sequencing, and delivery media within various domains with learners at different levels of expertise. The study employed a quasi-experimental, mixed methods design to gain insight into how practicing instructional designers perceive their awareness of strategies to manage cognitive load and implement those strategies within a standardized design scenario. The research design involved the collection of quantitative data from the participants during an initial web-based questionnaire and a second collection of both quantitative and qualitative data as the participants completed a design activity using a think-aloud protocol. The triangulation of data through observation of activity and debriefing interviews was used to clarify data gathered through the protocol. The results of the study indicated that both novice and expert practitioners frequently used several strategies to manage extraneous load (worked examples, completion tasks, and dual modality) as prescribed by theory, as well as the simple-to-complex presentation strategy to manage intrinsic load. They also exhibited a moderate use of the variability strategy to manage germane load as recommended by theory, but overall use of strategies to address germane load was infrequent across all participants. While participants frequently acknowledged differences in the levels of learner expertise within the instructional scenario, few employed strategies prescribed to address the expertise reversal effect as outlined by theory. Participants described a number of barriers preventing them from using additional strategies to manage cognitive load, ranging from those common to all instructional strategies (such as time constraints and lack of formative evaluation) to those specific to cognitive load strategies (such as lack of instructor buy-in regarding cognitive load and the extra design effort to create worked examples)

CaringWire – An Uncommon Approach to a Common Problem

I am a full-time MBA student at Ohio State passionate about aging and death after moving home and seeing that my mother had aged 10 years mentally and physically while caring for her aging parents. This got me thinking. It would be extremely helpful to have a consolidated resource that provides education, resources and consolidated communication. I am working to create an online community that does just that. We believe the resources for caregiver support and services are outdated. Providers overwhelm loved ones with information and are not transparent about expectations. When Michael Sentz cofounded CaringWire he had one thought in mind – to help caregivers easily navigate end-of-life transitions. He watched for many years the struggles that parents went through finding, hiring and managing daily routines, medical, and financial aspects for their aging grandparents. Combine the emotionally charged nature of family dynamics with a lack of transparency to costs and expectations – they discovered there was simply no consolidated resource to help their parents navigate with confidence. After meeting with dozens of babyboomer caregivers and seeing that his parent's struggles were not unique, CaringWire was born. Today, CaringWire is on a mission to provide a trusted community for caregivers and their families to learn, find support, and identify resources to make caring for their loved ones easier. By utilizing technology, we ease the process of end of life planning and allow our caregivers to focus on what matters to them. We are excited to continue to build out our mission and encourage you to share our story with others who may help make our vision a reality. Whether they are caregivers we could learn from, or business contacts who have an interest in helping and mentoring companies like ours, we welcome the opportunity to connect with them.AUTHOR AFFILIATION: Michael Sentz, MBA student, Ohio State Fisher College of Business, [email protected] (Corresponding Author)Baby boomers are losing the best years of their adult lives as they are sandwiched with the burden of caring for their kids and their parents. The current state of health care is not equipped to provide a solution. We are resolving a common problem with an uncommon solution by delivering reliable case coordination by and for people who care

Analysis Of Surge

LectureRecently, considerable attention has been given to the phenomenon of surge in compressors and pumps. Typically, the model under study is a Helmholtz resonator and driver where the flow in the delivery duct to the resonator is assumed incompressible. The objective of this analytical study is to extend this model to one more applicable to field situations and to discuss the impact of some of the added effects. In particular, these effects are: heat transfer in the exhaust chamber, the action of the momentum flux on the fluid boundaries in the duct and the compressibility of the gas in the delivery duct. The equations retain their nonlinear character and are solved numerically. The instability condition is reported and discussed

Spinning Metasurface Stack for Spectro-polarimetric Thermal Imaging

Spectro-polarimetric imaging in the long-wave infrared (LWIR) region plays a crucial role in applications from night vision and machine perception to trace gas sensing and thermography. However, the current generation of spectro-polarimetric LWIR imagers suffer from limitations in size, spectral resolution and field of view (FOV). While meta-optics-based strategies for spectro-polarimetric imaging have been explored in the visible spectrum, their potential for thermal imaging remains largely unexplored. In this work, we introduce a novel approach for spectro-polarimetric decomposition by combining large-area stacked meta-optical devices with advanced computational imaging algorithms. The co-design of a stack of spinning dispersive metasurfaces along with compressed sensing and dictionary learning algorithms allows simultaneous spectral and polarimetric resolution without the need for bulky filter wheels or interferometers. Our spinning-metasurface-based spectro polarimetric stack is compact (< 10 x 10 x 10 cm), robust, and offers a wide field of view (20.5{\deg}). We show that the spectral resolving power of our system substantially enhances performance in machine learning tasks such as material classification, a challenge for conventional panchromatic thermal cameras. Our approach represents a significant advance in the field of thermal imaging for a wide range of applications including heat-assisted detection and ranging (HADAR)

Preliminary space mission design under uncertainty

This paper proposes a way to model uncertainties and to introduce them explicitly in the design process of a preliminary space mission. Traditionally, a system margin approach is used in order to take the min to account. In this paper, Evidence Theory is proposed to crystallise the inherent uncertainties. The design process is then formulated as an optimisation under uncertainties(OUU). Three techniques are proposed to solve the OUU problem: (a) an evolutionary multi-objective approach, (b) a step technique consisting of maximising the belief for different levels of performance, and (c) a clustering method that firstly identifies feasible regions.The three methods are applied to the Bepi Colombo mission and their effectiveness at solving the OUU problem are compared

Constructing Probability Boxes and Dempster-Shafer Structures

This report summarizes a variety of the most useful and commonly applied methods for obtaining Dempster-Shafer structures, and their mathematical kin probability boxes, from empirical information or theoretical knowledge. The report includes a review of the aggregation methods for handling agreement and conflict when multiple such objects are obtained from different sources