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Rubrics informed by the Cognitive Theory of Multimedia Learning that Support Research on Personalized Learning Paths
Personalized Learning Paths (PLP)s are a popular area of research in E-Learning where sequences of Learning Materials (LM)s and activities are returned based on a learner profile, the LM metadata, and a knowledge structure that describes the relationship between the underlying topics. Unfortunately, PLP researchers tend to not use an empirically supported cognitive science framework for their research, instead relying on such unsupported theories as learning styles or developing their own ad hoc approaches. While many of these researchers present and solve challenging PLP problems using a variety of algorithmic approaches, the PLP community in general would benefit from a rubric that can be used to quantitatively assess the degree of fit of a PLP for a targeted learner based on an empirically supported cognitive science theory and a set of realistic use cases. This data package includes two rubrics based on the Cognitive Theory of Multimedia Learning (CTML) that are designed to serve this purpose for the PLP research community. CTML is a field of research in cognitive science that offers a set of empirically supported principles that provide insight into what LM and PLP characteristics are likely to improve learning outcomes. The rubrics offered in this data package are an initial attempt to quantify LMs and PLPs according to these CTML principles and are further informed by a small set of realistic learner use cases. The authors of these rubrics hope that they will lead to a publicly available set of labeled LM and PLP data that can benefit future E-Learning research. Researchers should consider using these rubrics to inform their PLP data structure and algorithmic designs and adapt them to their specific use cases when necessary
Technical Data Package for SysMLv2 Vignettes
This Technical Data Package (TDP) thoroughly compiles instructions, concepts, and solutions for eight SysMLv2 vignettes. Each vignette illustrates methods to solve complex system modeling challenges. The initial concept for each vignette can drive the use and evaluation of a custom SysMLv2 modeling tool as shown in [1]. They can support a baseline set of tasks to compare usability with other SysMLv2 modeling software tools.
The document starts with three pairs of vignettes for modeling a hypothetical Unmanned Aerial Vehicle (UAV) operated with a Virtual Reality (VR) headset derived from AFIT WKSP 696. The final pair of vignettes focus on two models from the SysMLv2 Reference Architecture. Each pair of vignettes introduces one or more SysMLv2 modeling concepts, features a search task, and drives the use of the various interface elements and the SysMLv2 language. The vignettes begin with a detailed description of the vignette, the goals, and specific system modeling challenges it addresses. Finally, a step-by-step guide outlines the requirements to accomplish the modeling task.
Each vignette also begins with a provided source model file, often including an error to correct. Next, the document contains the SysMLv2 text syntax to correct the error and examples for all additional text syntax to complete the modeling tasks. SysMLv2 diagrams accompany each instance of SysMLv2 text syntax changes.
This TDP is a comprehensive resource for those interested in an introduction to SysMLv2 regardless of prior experience. The vignettes offer a practical and detailed exploration of SysMLv2’s initial concepts and advance the understanding of this language
Data for: A coupled optical waveguides system in a fluidic medium that elucidates different parity-time-symmetric phases
This research introduces a novel methodology of harnessing liquids to facilitate the realization of parity-time (PT)- symmetric optical waveguides on highly integrated microscale platforms. Additionally, we propose a realistic and detailed fabrication process flow, demonstrating the practical feasibility of fabricating our optofluidic system, thereby bridging the gap between theoretical design and actual implementation. Extensive research has been conducted over the past two decades on PT-symmetric systems across various fields, given their potential to foster a new generation of compact, power-efficient sensors and signal processors with enhanced performance. Passive PT-symmetry in optics can be achieved by evanescently coupling two optical waveguides and incorporating an optically lossy material into one of the waveguides. The essential coupling distance between two optical waveguides in air is usually less than 500 nm for nearinfrared wavelengths and under 100 nm for ultraviolet wavelengths. This necessitates the construction of the coupling region via expensive and time-consuming electron beam lithography, posing a significant manufacturing challenge for the mass production of PT-symmetric optical systems. We propose a solution to this fabrication challenge by introducing liquids capable of dynamic flow between optical waveguides. This technique allows the attainment of evanescent wave coupling with coupling gap dimensions compatible with standard photolithography processes. Consequently, this paves the way for the cost-effective, rapid and large-scale production of PT-symmetric optofluidic systems, applicable across a wide range of fields
Hourly Balancing Authority Transfers, Streamflows, and Climate Data for Carolinas Region
The data contain the electricity transfers and relevant indicators associated with nine exchanges between balancing authorities in the Carolinas region
Inferring TLB Configuration with Performance Tools
Modern computing systems are primarily designed for maximum performance, which inadvertently introduces vulnerabilities at the micro-architecture level. While cache side-channel analysis has received significant attention, other Central Processing Units (CPUs) components like the Translation Lookaside Buffer (TLB) can also be exploited to leak sensitive information. This paper focuses on the TLB, a micro-architecture component that is vulnerable to side-channel attacks. Despite the coarse granularity at the page level, advancements in tools and techniques have made TLB information leakage feasible. The primary goal of this study is not to demonstrate the potential for information leakage from the TLB but to establish a comprehensive framework to reverse engineer the TLB configuration, a critical aspect of side-channel analysis attacks that have previously succeeded in extracting sensitive data. The methodology involves detailed reverse engineering efforts on Intel CPUs, complemented by analytical tools to support TLB reverse engineering. This study successfully reverse-engineered the TLB configurations for Intel CPUs and introduced visual tools for further analysis. These results can be used to explore TLB vulnerabilities in greater depth. However, when attempting to apply the same methodology to the IBM Power9, it became clear that the methodology was not transferable, as mapping functions and performance counters vary across different vendors
Image blur due to aerosols and correlation with aerosol morphology and optical properties
A multiple asset-type, collaborative vehicle routing problem with proximal servicing of demands
The Location of Cationic Substitutions in Carbonated Biomimetic Apatites Significantly Affects Crystal Nanomechanics
Bone and teeth are comprised of carbonate-substituted apatites with cationic substitutions, like sodium and potassium. Cations substitute for calcium in the apatite lattice but it is unclear whether they substitute for Ca(1) or Ca(2). Additionally, although we know that anionic substitutions affect the mineral mechanics, it is unclear how cationic substitutions affect mineral stiffness. Here, a combined experimental and theoretical approach using in situ fluid-mediated hydrostatic loading with synchrotron Wide Angle X-ray Scattering (WAXS) and Density Functional Theory (DFT) is used to elucidate the role of CO32− and Na+ or K+ co-substitutions on the atomic structure and mechanics of biomimetic apatites. Comparison of WAXS and DFT results showed that preferential substitutions at the Ca(1) and Ca(2) sites depended on cationic type and concentration, with a preference for Ca(1) at higher levels of co-substitution. Substitution levels and location of the cationic substitution both significantly affected the modulus of the minerals. This presents a new paradigm for the development of biomimetic apatites with multi-property tunability by considering composition and atomic organization