Reviewerly/exHarmony huggingface dataset:
Penggunaan Model Investigasi Kelompok dalam Meningkatkan Kemampuan Menulis Teks Eksplanasi pada Siswa Kelas XI SMK ICB Cinta Wisata Bandung

Basically everyone is capable of writing, writing skills need to be trained continuously, so that student interest can increase. Apart from needing to be trained on an ongoing basis, the selection of learning methods and models also needs to be considered, considering that students' writing skills can be categorized as still weak. This study aims to determine the feasibility of using the group investigation model to improve the ability to write explanatory texts. The research method used was a quasi-experimental design with one group pretest posttest. This research was conducted in class XI of the culinary industry at SMK ICB CintaWisata Bandung.The instruments used test and observation. The instruments are categorized valid and reliable after conducting analysis by expert judgment. The data gathered were analyzed by knowing the mean of pre test and post test, the total of the students score from pre test and post test, knowing the minimum and maximum score, and testing hypothesis by paired sample T- Test. The result of the research showed that there was an improvement from the mean of pre test 43.2 to the mean of post test 81.3.The improvement in writing explanation text of students after using the group investigation model was in accordance with the results of the gain hypothesis test, namely the probability value or Sig. (2-tailed) 0.00 <0.05.The magnitude of the increase in writing skills is indicated by the results of the hypothesis test which states that there are differences in the data from the pretest and posttest results so that there is an increase in learning by seeing the average of each activity. Thus it can be concluded that the group investigation model can improve the ability to write explanatory text.
UTEP Library Research Guides: UNIV 1301 - Campbell: RefWorks

This research guide is for students in UNIV 1301: Learning to Learn taught by Mr. Campbell How to Use RefWorks
Macomi Maintenance: A user-centric data-analytic platform for railway maintenance planning optimisation

This thesis project investigated how user-centred design(UCD) contributes to the railway maintenance planning optimisation. A new UX concept and digital prototype were designed to provide intuitive interaction and clear structure to support the planners confidently and independently optimise railway maintenance planning on a digital platform. This project is under the context of the Dutch railway infrastructure maintenance. With increasing demands for transport on the Dutch railway, optimising maintenance planning for existing infrastructure is challenging for the Dutch railway network management organisation ProRail. Thus, a data-analytic software ProRail Maintenance(PRM) for railway maintenance planning optimisation was developed for the maintenance planners at ProRail. However, as an analytic tool, the outcomes and functions came first for the company while the user experience(UX) was neglected at first, which leads to a series of usability problems and requires much learning time from the users. Based on the above situation, two initial research questions were proposed: “What are the causes of these usability problems?” “Will UCD help to improve the UX of PRM and How?” A series of UCD methods were used in the whole process to understand users’ needs, generate and iterate concept and the final design was evaluated by the final evaluation test. The initial goal in the research phase was to understand the context, problems of PRM and causes and users. Literature research was conducted combined with interviews with experts to understand the Dutch railway maintenance planning. By analysing the qualitative and quantitative data collected from interviews and user testing of PRM, a list of problem statements, design goal and requirements were defined. In the design phase, a series of design activities with users(e.g co-creation session, prototype tests) were conducted to generate ideas and iterate the concept by prototype tests with users. By involving users in every stage of the process, I got instant feedback and had a deeper understanding of the users’ needs and quickly verify the hypothesis and iterate concept. The final concept called Macomi Maintenance consisting of four main functional pages: Homepage, Input, Analysis and Result. It covered the main operations needed to optimise the planning, which achieved an excellent usability performance evaluated by 8 participants in the online evaluation tests. It was found that showing information in an organised way(in this case I used cards and tabs) and provide enough guidance helped to reduce the time and fear of learning new software. All participants could finish the assigned tasks without hints in the evaluation test and show more willingness and confidence to learn Macomi Maintenance.
Assisting Teachers with Artificial Intelligence: Investigating the Role of Teachers Using a Randomized Field Experiment

This study investigates whether artificial intelligence (AI) can transform the teacher’s role by delivering personalized learning to each individual student. Conducting a randomized controlled trial in collaboration with an education company, we evaluate how providing teachers with AI assistance impacts students’ academic outcomes. We find that providing AI-generated reports to teachers significantly improves students’ study effort and performance, although those effects vary by teacher and class characteristics. Consistent with the organizational literature on technology and worker productivity, our findings indicate that technology overload could undermine teachers’ effective use of AI coaching despite its highly accurate diagnostic ability and ready availability. Although some teachers did not utilize the AI coaching program, we found positive effects among the students of both compliers and non-compliers. We, therefore, decompose our results to identify direct and spillover effects on students’ academic performance and show that failing to account for spillover effects across teachers (externality among peers) and within teachers (learning-by-doing across students) may understate the effects of AI coaching. Finally, we provide practical guidelines for implementing technology in educational settings.
Innovation Analysis of College Physics Teaching ModeBased on Network Teaching Platform Innovation

College physics is a professional, technical and theoretical course, difficult for teaching. It is one of the core courses of related science majors. In the traditional college physics course teaching, the teaching form and content are relatively single. Students are more passive in learning college physics with low learning enthusiasm. They regard college physics course as a learning task with low interest in the course. All these have affected the improvement of the teaching quality of college physics. At present, the network teaching mode has been gradually developed and applied. The network teaching platform also provides a path for the informatization and intellectualization of teaching. To promote the development of college physics teaching, we must deepen the course reform and promote the continuous improvement of teaching quality. This paper focuses on the teaching and development of college physics, analyzes the role of network teaching platform in college physics teaching, and explores the specific countermeasures to promote the innovation of college physics teaching mode with the help of network teaching platform.
Augmented Reality-Enhanced Learning : An evaluation of the possibilities of improving learning of Mechanics through an Augmented Reality application

Students’ struggle to understand certain threshold concepts in mechanics is believed to be reducible by better visualization in the often very abstract field of physics. Technology is used to enhan ...
A Study on the Structure of Experience Space in Narrative Memorial

This study aims to investigate the spatial structure of the memorial in terms of experiential space, targeting the ‘narrative memorial’, which has its own unique identity. The narrative memorial, which has a defined path to deliver story of the events through space, has a different order of experience different to the order of floor plan, so it is necessary to understand the space structure from the perspective of the visitor"s experience. Therefore, the research was conducted by using "visitor journey map" originated from "customer (user) journey map" which has been widely used in the service design field to check the actual experience of users in the entire process of using specific products or services. The selected memorials for the research are US Holocaust Memorial Museum, Yad Vashem Holocaust history museum, and Jewish museum Berlin, which are representative of the modern memorial. The main spatial structure of narrative memorial found in terms of experiential space is as follows: 1. Intersecting structure of emotional experience space and practical educational space that are repeatedly experienced, 2. Emotional experience space that forms step-by-step experiences, 3. The role of a connecting space that allows the memorial to become a background itself telling the story of event, 4. a spatial experience that forms different meanings according to the experience stage even in the same space, 5. a transitional space that generates a staged background change. In summary, in the narrative memorial, all spaces participate in the story of an event commemorated, and these experience spaces are repeatedly experienced with each other, forming a staged experience structure based on the intersection of experiences as a whole. In this way, it can be confirmed that the story and emotional experience of the event conveyed in the memorial are consistently delivered to the visitor, and the memorial acts as a medium of memory to be told as the space itself.
대학생의 온라인 강의 학습행태, 온라인 강의 시 학습자 특성, 학습만족도, 교수-학생 상호작용에 따른 온라인 강의 집중도

Purpose: Because of the COVID-19 pandemic in 2020, colleges had no choice but to introduce online classes without sufficient preparation. As a result, various problems emerged in college students’ learning experience. To establish a strategy for improving online education quality, the necessity to understand university students’ learning behavior, learner characteristics, learning satisfaction, and the impact of professor-student interaction on online lecture concentricity. Methods: This study is a cross-sectional survey conducted on college students from nine universities who experienced online lectures in the first semester of 2020. Online lecture learning behavior, learner characteristics, learning satisfaction, and professor-student interaction were analyzed using t-test, ANOVA, and Pearson’s correlation coefficient to explore the difference in online lecture concentration. Results: The concentration in-class lectures and online lectures averaged 7.04 and 5.73, respectively. According to the analysis, online learning concentration was a significant positive correlation by learner characteristics (r=.40, p<.001), professor-student interaction (r=.30, p<.001), online lecture evaluation (r=.34, p<.001). Conclusion: Therefore, it is suggested that universities should establish guidance strategies related to lecture time zones, measures for managing and supervising learners, reflecting online lecture evaluation results, and strategies for improving student interaction.
LibGuides: Free Webinars for Library Staff: Digitization

A compilation of free webinars from various sources intended to serve the professional development needs of library staff.
Long-term structural monitoring of multi-story RC structures, based on data extracted from ambient noise and earthquake vibrations

&amp;lt;p&amp;gt;The impact of natural hazards on structures and infrastructures is a critical issue that needs to be properly addressed by both public and private entities. To better cope with seismic hazard and to mitigate the risk, long-term multi-sensor infrastructure monitoring represents a useful tool for acquiring information on their condition and vulnerability. However, the current increasing data volume collected using sensors is not suitable to be processed with classical standalone methods. Thus, automatic algorithms and decision-making frameworks should be developed to use this data, with minimum intervention from human operators. A case-study for the application of advanced methods is focused on the headquarters of the Institute for Atomic Physics, a 11-story reinforced concrete building, located near Bucharest, Romania. The instrumentation scheme consists of accelerometers installed at the basement, at an intermediate floor and at the top of the structure. The data were continuously recorded, starting with December 2013. More than 80 seismic events with moment magnitude, M&amp;lt;sub&amp;gt;W&amp;lt;/sub&amp;gt;, larger than 3.8 were recorded during the monitoring period. The current study covers the long-term evolution and variation of dynamic parameters (one value per hour), based on both ambient noise sources and small and medium magnitude seismic events. The seasonal variation of these parameters will be determined, as well as their daily variation and the differences between values obtained from ambient noise and from earthquake-induced vibrations. Other atmospheric parameters (e.g. temperature, precipitation, wind speed) will be considered in future studies. The goal of the PREVENT project, in the framework of which the research is performed, is to collect multi-disciplinary data and to integrate them into a complex monitoring system. The current study achieved the first step, focusing on data from the seismic sensors and setting up the premises for a multi-sensor, multi-parameter, more reliable infrastructure monitoring system.&amp;amp;#160;&amp;amp;#160;&amp;lt;/p&amp;gt;
O tema como quadro

This research starts with an approximation of the idea of framing, as an activity developed by the soviet misinformation system over western societies, with the concept of framing as developed by ERWIN GOFFMAN (2012), to map how each one of the Information Related Capabilities (IRC) – Intelligence, Social Communication and Psychological Operations – relates with the frames of the Frame Analysis. It was observed that there are convergences between the Intelligence activity and the schemata of interpretation, the Social Communication and the keys, and the Psychological Operations and the fabrications. Lastly, it was proposed that the Theme, a concept from the Synchronized Communication of the United States Armed Forces, would be used as a Frame, to make easier to get the synergy of the capabilities (IRC).
ИННОВАЦИОННЫЕ МЕТОДЫ ПРЕПОДАВАНИЯ РУССКОГО ЯЗЫКА И ЛИТЕРАТУРЫ

At present, the concept of modern education has determined the goal of the teacher's professional activity - to form students' ability to successfully socialize in society, actively adapt to the labor market. The consequence of this is the development of innovative technologies in teaching. Innovative methods are characterized by a new style of organization of educational and cognitive activities of students. Modern teachers recognize that the technology of problem-based learning presents the maximum opportunities for the development of creative abilities and intellectual activity of students.
LibGuides at Priddy Library: ECED 360: Early Literacy: Digital Object Identifier (DOI)

Emerging literacy process in children, birth to age five. Examination of strategies, materials, and experiences for literacy development
Becoming-Blended-Becoming-Hybrid-Becoming-Multiple-Becoming

As we now teach and learn ineven more multiple hybrid spaces and fall from one platform to another this paper will explore ideas of becoming-learner and becoming-teacher in these multiplicities. How can Deleuze & Guattari’s ideas of rhizomatic ways of re-thinking thought help us learn with each other in cooperative, collaborative, radical assemblages will be developed in an active blended semisynchronous workshop presentation. The form of communicating the paper will mirror the ideas being expressed in it. As learning can happen everywhere at anytime and in any place what new rhythms are we working with is hacked.
Experimental problem task for ninth-graders at physics competition 2019: task and results analysis

In my graduation thesis we will investigate experimental task from the 39th National Competition in Physics for Stefan awards, which was held on April 6th 2019 and which was given to pupils of 9th grade. In the first part we will get a good look at history of physics competitions in Slovenia. We will also present this year's State competition. In the second part of the thesis we will present and analyse the experimental problem and examine the answers of the pupils, to find out what common errors they made. We will try to find out what caused those errors. In the last part I will grade experimental task and compare my own results with official results to check reliability of graders and if instructions for graders provided objectivity of grading.
Library Guides: Open Access Publishing: Datasets

An overview of OA, including government and publisher policies, resources, and key issues pertaining to scholarly publishing and Tulane
On the Challenges of Implementing Machine Learning Systems in Industry

RESUME : Dans l’optique de ce memoire, nous nous concentrons sur les deﬁs de l’implantation de sys-temes d’apprentissage automatique dans le contexte de l’industrie. Notre travail est reparti sur deux volets: dans un premier temps, nous explorons des considerations fondamentales sur le processus d’ingenierie de systemes d’apprentissage automatique et dans un second temps, nous explorons l’aspect pratique de l’ingenierie de tels systemes dans un cadre industriel. Pour le premier volet, nous explorons un des deﬁs recemment mis en evidence par la com-munaute scientiﬁque: la reproducibilite. Nous expliquons les deﬁs qui s’y rattachent et, a la lueur de cette nouvelle comprehension, nous explorons un des eﬀets rattaches, omnipresent dans l’ingenierie logicielle: la presence de defaut logiciels. A l’aide d’une methodologie rigoureuse nous cherchons a savoir si la presence de defauts logiciels, parmis un echantillon de taille ﬁxe, dans un cadriciel d’apprentissage automatique impacte le resultat d’un processus d’apprentissage.----------ABSTRACT : Software engineering projects face a number of challenges, ranging from managing their life-cycle to ensuring proper testing methodologies, dealing with defects, building, deploying, among others. As machine learning is becoming more prominent, introducing machine learn-ing in new environments requires skills and considerations from software engineering, machine learning and computer engineering, while also sharing their challenges from these disciplines. As democratization of machine learning has increased by the presence of open-source projects led by both academia and industry, industry practitioners and researchers share one thing in common: the tools they use. In machine learning, tools are represented by libraries and frameworks used as software for the various steps necessary in a machine learning project. In this work, we investigate the challenges in implementing machine learning systems in the industry.
Curating news sections in a historical Swedish news corpus

The National Library of Sweden uses optical character recognition software to digitize their collections of historical newspapers. The purpose of such software is first to automatically segment tex ...
Implementation of the Comprehensive Ability Assessment System for English Teaching from the Perspective of Computer Information Management

In order to further improve the teaching comprehensive ability of college English teachers, we must have a scientific and reliable ability evaluation system. The system should set up the evaluation indexes strictly according to the talent training plan and the related psychological weight of each university in order to complete the evaluation order of comprehensive ability. However, because the parameters and data processing involved in the evaluation system are very large, this paper discusses the effective path of the construction of the comprehensive capability evaluation system on the basis of the advantages of big data technology.
Embracing Heterogeneity in Modern GPUs

Graphics Processing Units is one of the most widely adopted parallel computing engines for modern applications. However, due to the “memory wall”, the scaling of GPUs is lagging behind the ever-growing complexity of application algorithms and ever-increasing data volume of inputs. Near-data computing (NDC) is a widely-acknowledged computing paradigm that alleviates the memory wall problem by offloading computation to data instead of conventional fetching data to computation. While the NDC GPU architectures have been proposed and studied, there are several key questions that remain unanswered: i) what portions of an application's execution should be launched as GPU device kernels that can benefit from the executions on NDC GPU cores? ii) How to schedule these device kernels while considering the data reuse and sharing among them? iii) Where to execute these kernels if there are multiple potential candidate cores?
A Comprehensive Study of Real-Time Hand GestureDetectionand Recognition

Hand gesture is an important form of communication used to convey instructions, give commands, and is an importantmeans for mute people to express themselves. The vast majority of the world population do not know about sign language thatthemutepeopleusetocommunicatewitheachotherandhencefinditdifficulttocomprehendwhatthedisabledpersonistryingto convey. With the growth in the field of human-computer interaction, a significant amount of research work has been devotedto bridging this communication gap.Breakthroughs in the field of computer vision, deep learning, Internet-of-Things, andcomputational power or capability has motivated a significant amount of work towards real-time hand gesture detection andrecognition. The primary reason for the popularity of this field of research is the challenge of generalization of the system tomakeitaccessibletoallthepeoplewhoneeditandtheproblems associatedwithhanddetection.Inthispaper,weexploresomenovel approaches used to solve this problem and compare the results of these systems to determine their compatibility underdifferentscenariosandtheirimpactonsociety.