scholarly journals Understanding the phenomenology of reading through modelling

Semantic Web ◽  
2020 ◽  
pp. 1-27
Author(s):  
Alessio Antonini ◽  
Mari Carmen Suárez-Figueroa ◽  
Alessandro Adamou ◽  
Francesca Benatti ◽  
François Vignale ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Conceptual Model ◽  
Large Scale ◽  
Research Field ◽  
Future Research ◽  
Ongoing Research ◽  
Reading Experience ◽  
Macro Scale ◽  
Support Of Research ◽  
Data Investigation

Large scale cultural heritage datasets and computational methods for the Humanities research framework are the two pillars of Digital Humanities (DH), a research field aiming to expand Humanities studies beyond specific sources and periods to address macro-scale research questions on broad human phenomena. In this regard, the development of machine-readable semantically enriched data models based on a cross-disciplinary “language” of phenomena is critical for achieving the interoperability of research data. This paper reports on, documents, and discusses the development of a model for the study of reading experiences as part of the EU JPI-CH project Reading Europe Advanced Data Investigation Tool (READ-IT). Through the discussion of the READ-IT ontology of reading experience, this contribution will highlight and address three challenges emerging from the development of a conceptual model for the support of research on cultural heritage. Firstly, this contribution addresses modelling for multi-disciplinary research. Secondly, this work describes the development of an ontology of reading experience, under the light of the experience of previous projects, and of ongoing and future research developments. Lastly, this contribution addresses the validation of a conceptual model in the context of ongoing research, the lack of a consolidated set of theories and of a consensus of domain experts.

scholarly journals Conceptual Model for Mutual (Host-Guest) Authentication of Intangible Cultural Heritage

2019 ◽  
pp. 160
Author(s):  
Shahida Khanom ◽  
Noel Scott ◽  
Millicent Kennelly ◽  
Brent Moyle
Keyword(s):  
Cultural Heritage ◽  
Conceptual Model ◽  
Mutual Authentication ◽  
Indigenous Communities ◽  
Community Empowerment ◽  
Host Community ◽  
Future Research ◽  
Intangible Cultural Heritage ◽  
Social Psychological ◽  
Proposed Model

The intangible cultural heritage (ICH) of indigenous communities is an attraction to many tourists. Authentic ICH experiences rely on the perceptions and actions of both the host community and guests, a topic which has received with limited scholarly attention, particularly in recent research. This paper presents a conceptual model examining how the mutual (host-guest) authentication of ICH (integrating the perceptions of both hosts and guests) can potentially lead to community empowerment. A literature review has identified that the host community?s attitude and motivation towards ICH, their psychological and economic benefit from ICH, and their participation or involvement in the ICH, together influence the authentication of ICH by these communities. Similarly, a guest?s attitude to and motivation for ICH as well as the way the traditional objects, events or environment are experienced, influence the authentication of ICH. The proposed mutual ICH authentication model combines the interaction of such host and guest factors in authentication of ICH, i.e. both the host community and guest should perceive the same elements as authentic ICH through a synthesis of their own unique perspectives. The perceived authenticity of ICH by the host and guest is reflected in their loyalty, satisfaction, and support for tourism. Further, the model suggests that tourism based on authentic ICH has the potential to empower local communities in their economic, social, psychological and political domains. The proposed model may be useful for future research defining power relations in the authentication of ICH and improving community-based ecotourism through community empowerment. Keywords: intangible cultural heritage, authenticity, mutual authentication, cultural tourism, community empowerment

Tourists’ Need for Uniqueness as a Representation of Differentiated Identity

2020 ◽  
pp. 004728752097280
Author(s):  
Deniz Karagöz ◽  
Muzaffer Uysal
Keyword(s):  
Cultural Heritage ◽  
Least Squares ◽  
Conceptual Model ◽  
Behavioral Intentions ◽  
National Park ◽  
Future Research ◽  
Multigroup Analysis ◽  
Need For Uniqueness ◽  
Object Based ◽  
The Relationship

This study aims to examine the relationship between tourists’ need for uniqueness (TNFU), perceived authenticity, tourists’ emotions, and their behavioral intentions in a heritage context. A proposed conceptual model is tested using the data generated from a convenient sample of 474 tourists visiting Cappadocia Göreme National Park, a natural and cultural heritage destination in Turkey. Using the partial least squares technique, the findings confirm that tourists’ need for uniqueness influences object-based authenticity and existential authenticity. Object-based authenticity and existential authenticity affect tourists’ emotions. Also, the tourist’s emotions affect their behavioral intentions. The model is further examined from a nationality perspective through a multigroup analysis. The effect of avoidance of similarity on TNFU is greater in European tourists. Also, the effect of TNFU on object-based authenticity is greater in Asian tourists. Further, the effect of object-based authenticity on tourists’ emotions is greater in Asian tourists. Discussions and implications for destination marketers, limitations, and suggestions for future research are also provided.

Exploring positively- versus negatively-valenced brand engagement: a conceptual model

2014 ◽  
Vol 23 (1) ◽  
pp. 62-74 ◽  
Author(s):  
Linda D. Hollebeek ◽  
Tom Chen
Keyword(s):  
Conceptual Model ◽  
Large Scale ◽  
Future Research ◽  
Managerial Decision ◽  
Content Type ◽  
Brand Engagement ◽  
Proposed Model ◽  
Academic Marketing ◽  
Quantitative Analyses ◽  
Antecedents And Consequences

Purpose – After gaining traction in business practice the “brand engagement” (BE) concept has transpired in the academic marketing/branding literature. BE has been defined as the level of a consumer's “cognitive, emotional and behavioral investment in specific brand interactions”. Although pioneering research provides exploratory insights, the majority of literature to-date addresses consumers' specific positively-valenced BE; thus largely overlooking potential negatively-valenced manifestations of this emerging concept and their ensuing implications. The purpose of this paper is to propose a novel BE conceptualization that extends to cover focal negatively-valenced, in addition to positively-valenced BE expressions, thus providing a more comprehensive theoretical model of BE. Specifically, while positively-valenced BE addresses consumers' favorable/affirmative cognitive, emotional and behavioral brand-related dynamics during focal brand interactions (e.g. brand-usage); negatively-valenced BE, by contrast, is exhibited through consumers' unfavorable brand-related thoughts, feelings, and behaviors during brand interactions. Design/methodology/approach – Drawing on netnographic methodology, the authors develop a conceptual model addressing the key characteristics of consumers' positively-/negatively-valenced BE, and derive a set of key BE triggers and consequences. Findings – Based on their analyses the authors develop a conceptual model, which addresses consumers' positively/negatively valenced BE, and key antecedents and consequences. Research limitations/implications – Future research is required, which tests and validates the proposed model for specific categories and brands using large-scale, quantitative analyses. Practical implications – Generating enhanced managerial understanding of positively/negatively valenced BE, this research contributes to guiding managerial decision making regarding the management of specific brands. Originality/value – By proposing a conceptual model incorporating positively-/negatively-valenced BE, this paper extends current insights in the branding/marketing literatures, thus contributing to managers and scholars.

scholarly journals Linking Instruction and Student Achievement. A research design for a new generation of classroom studies

2017 ◽  
Vol 11 (3) ◽  
pp. 10 ◽  
Author(s):  
Kirsti Klette ◽  
Marte Blikstad-Balas ◽  
Astrid Roe
Keyword(s):  
Student Achievement ◽  
Large Scale ◽  
Classroom Practices ◽  
Instructional Quality ◽  
Theoretical Background ◽  
Video Data ◽  
Data Sources ◽  
Future Research ◽  
Ongoing Research ◽  
Achievement Data

AbstractEducational research into instructional quality would benefit from macro- and meso-level instructional data – such as achievement data or large-scale student surveys – in relation to data from the micro level – such as detailed analyses of classroom practices. Several scholars have specifically asked for studies that correlate achievement data with records of learning processes and teaching strategies, and ongoing projects attempting to do so have shown promising results. Linking different data sources on instructional quality is quite demanding because it requires a concerted effort by researchers from different fields of expertise and different traditions. A main ambition of our ongoing research project is precisely to advance such integration. As the title of the project reveals, we are dedicated to Linking Instruction and Student Achievement (LISA). In this article, we start by providing a theoretical background and status of knowledge related to instructional quality. We go on to argue that video data has shown particular promise in studies aiming to obtain systematic data from a range of classrooms in order to compare classroom practices. We then present the three components of the LISA project’s design – student perception surveys, systematic classroom observation, and achievement gains in national tests – and the value of combining these three data sources. Finally, we will outline some of our findings thus far and point to future research possibilities.Key words: instructional quality; classroom practices; video studies; mathematics; language arts Å koble undervisning med elevprestasjoner - Forskningsdesign for en ny generasjon klasseromsstudierSammendragFor å studere undervisningskvalitet vil det være en fordel å kombinere data fra et makro og meso- nivå  med detaljerte studier av hva som skjer i klasserommet. Flere har etterlyst studier som ser på sammenhenger mellom målbar faglig fremgang og lærerens undervisning. Å få til slike studier er krevende, da det forutsetter et tett samarbeid mellom forskere fra ulike felt med ulik ekspertise innenfor nokså ulike forskningstradisjoner. En hovedambisjon i vårt pågående forskningsprosjekt er nettopp å få til en slik integrasjon. Som tittelen avslører, er vi dedikert til «Linking Instruction and Student Achievement (LISA)». I denne artikkelen presenterer vi det teoretiske og empiriske grunnlaget knyttet til undervisningskvalitet. Videre argumenterer vi for verdien av videodata i studier som sammenligner undervisningspraksiser fra ulike klasserom på en systematisk måte. Deretter presenterer vi de tre datakildene i LISA-prosjektets forskningsdesign – spørreskjemaer til elever om deres oppfatninger om lærerens undervisning, systematiske klasseromsobservasjoner, og målt fremgang på nasjonale prøver i lesing og regning. Verdien av å kombinere nettopp disse tre datakildene vil også bli diskutert. Avslutningsvis deler vi noen av våre tidlige forskningsfunn.Nøkkelord: undervisningskvalitet; klasseromspraksis; video studier; matematikk; norskfaget

Research on trade credit – a systematic review and bibliometric analysis

2020 ◽  
Vol 12 (4) ◽  
pp. 367-390 ◽  
Author(s):  
Debidutta Pattnaik ◽  
Satish Kumar ◽  
Ashutosh Vashishtha
Keyword(s):  
Conceptual Model ◽  
Trade Credit ◽  
Research Field ◽  
Future Research ◽  
Research Gaps ◽  
Content Type ◽  
Conceptual Structures ◽  
Bibliographic Network ◽  
Literature Selection ◽  
Research Domain

Purpose Trade credit (TC) is a financing provision by non-financing firms. The multi-disciplinary research field has sustained scholarly attention for long. Pursuant to the gap for a comprehensive summary of the literature confined to the areas of Finance and Economics, this study aims to provide quantitative and qualitative insights not fully captured or analysed in previous reviews. Design/methodology/approach Contextualized systematic literature review (SLR) and bibliometric techniques are used to map the thematic, intellectual and conceptual structures latent in 138 articles published in top journals. Findings The top authors, top journals and major themes are recognized using bibliometric techniques followed by an in-depth bibliographic-network-based-content-analysis. Five major clusters indicating the five research dimensions within the specialized field are identified and extensively reviewed. Empirical validation of key theories is discussed in the contents and a conceptual model is developed. Finally, the study has identified key research gaps to set the direction for future research. Research limitations/implications The scope of the literature selection is confined to the areas of finance and economics. Future studies could elaborate on a broader perspective. Originality/value The study contributes by offering a conceptual model latent in the literature on TC. It derives major research gaps to set the direction of future research. Also, the combination of SLR and bibliometrics is a methodological contribution in this research domain.

scholarly journals Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era

Data ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 87 ◽  
Author(s):  
Viktoriia Shubina ◽  
Sylvia Holcer ◽  
Michael Gould ◽  
Elena Simona Lohan
Keyword(s):  
Mobile Devices ◽  
Large Scale ◽  
Data Science ◽  
Research Field ◽  
Mobile Internet ◽  
Contact Tracing ◽  
Future Research ◽  
Location Tracking ◽  
Proximity Detection ◽  
User Location

Some of the recent developments in data science for worldwide disease control have involved research of large-scale feasibility and usefulness of digital contact tracing, user location tracking, and proximity detection on users’ mobile devices or wearables. A centralized solution relying on collecting and storing user traces and location information on a central server can provide more accurate and timely actions than a decentralized solution in combating viral outbreaks, such as COVID-19. However, centralized solutions are more prone to privacy breaches and privacy attacks by malevolent third parties than decentralized solutions, storing the information in a distributed manner among wireless networks. Thus, it is of timely relevance to identify and summarize the existing privacy-preserving solutions, focusing on decentralized methods, and analyzing them in the context of mobile device-based localization and tracking, contact tracing, and proximity detection. Wearables and other mobile Internet of Things devices are of particular interest in our study, as not only privacy, but also energy-efficiency, targets are becoming more and more critical to the end-users. This paper provides a comprehensive survey of user location-tracking, proximity-detection, and digital contact-tracing solutions in the literature from the past two decades, analyses their advantages and drawbacks concerning centralized and decentralized solutions, and presents the authors’ thoughts on future research directions in this timely research field.

scholarly journals BUILDING ARCHAEOLOGY DOCUMENTATION AND ANALYSIS THROUGH OPEN SOURCE HBIM SOLUTIONS VIA NURBS MODELLING

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 1381-1388
Author(s):  
F. Diara ◽  
F. Rinaudo
Keyword(s):  
Cultural Heritage ◽  
Open Source ◽  
Research Field ◽  
Free Form ◽  
Building Information Modelling ◽  
Ongoing Research ◽  
Information Modelling ◽  
Building Information ◽  
Development Processes ◽  
Archaeological Analysis

Abstract. The implementation of historical information within BIM (Building Information Modelling) platforms has experienced great development processes during last years, generating excellent studies based on Historic Building Information Modelling (Murphy et al., 2009; 2013). The HBIM developing growth is certainly explained due to advantages concerning the documentation step as well as monitoring operations for Cultural Heritage assets. In this sense, information concerning historical architectures can be extracted directly from walls and masonries and it is related to stratigraphic information derived from archaeological analysis: this kind of analysis is fundamental in order to comprehend the evolution of the construction site through the identification of layers due to modifications and actions (Parenti R., 2000).The inclusion of stratigraphic analysis inside a HBIM workflow could be an innovative point as far as the management and monitoring is concerned. This kind of documentation, that was not designed to be included inside a common BIM platform, could be collected coupled with digital metric information derived from metric surveys even if it is still considered an ongoing research field, especially since Cultural Heritage assets have no BIM standard classification. For this reason, the main goal of this research is to adapt the possibilities of open source solutions concerning BIM methodologies to building archaeology documentation and analysis exploring unconventional strategies and also overcoming 3D modelling limitations of BIM software with free form modeler based on NURBS algorithm (Oreni et al., 2014), developing a particular scan-to-BIM process that, owing to the used opens source solutions and algorithm, can be renamed scan-to-openBIM via NURBS.

scholarly journals Re-Discovering Ancient Landscapes: Archaeological Survey of Mound Features from Historical Maps in Northwest India and Implications for Investigating the Large-Scale Distribution of Cultural Heritage Sites in South Asia

2019 ◽  
Vol 11 (18) ◽  
pp. 2089 ◽  
Author(s):  
Green ◽  
Orengo ◽  
Alam ◽  
Garcia-Molsosa ◽  
Green ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
South Asia ◽  
Large Scale ◽  
Archaeological Sites ◽  
Future Research ◽  
Archaeological Survey ◽  
Heritage Sites ◽  
Ancient Landscapes ◽  
Northwest India

Incomplete datasets curtail the ability of archaeologists to investigate ancient landscapes, and there are archaeological sites whose locations remain unknown in many parts of the world. To address this problem, we need additional sources of site location data. While remote sensing data can often be used to address this challenge, it is enhanced when integrated with the spatial data found in old and sometimes forgotten sources. The Survey of India 1” to 1-mile maps from the early twentieth century are one such dataset. These maps documented the location of many cultural heritage sites throughout South Asia, including the locations of numerous mound features. An initial study georeferenced a sample of these maps covering northwest India and extracted the location of many potential archaeological sites—historical map mound features. Although numerous historical map mound features were recorded, it was unknown whether these locations corresponded to extant archaeological sites. This article presents the results of archaeological surveys that visited the locations of a sample of these historical map mound features. These surveys revealed which features are associated with extant archaeological sites, which were other kinds of landscape features, and which may represent archaeological mounds that have been destroyed since the maps were completed nearly a century ago. Their results suggest that there remain many unreported cultural heritage sites on the plains of northwest India and the mound features recorded on these maps best correlate with older archaeological sites. They also highlight other possible changes in the large-scale and long-term distribution of settlements in the region. The article concludes that northwest India has witnessed profound changes in its ancient settlement landscapes, creating in a long-term sequence of landscapes that link the past to the present and create a foundation for future research and preservation initiatives.

scholarly journals A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets

2020 ◽  
Vol 10 (21) ◽  
pp. 7640
Author(s):  
Changchang Zeng ◽  
Shaobo Li ◽  
Qin Li ◽  
Jie Hu ◽  
Jianjun Hu
Keyword(s):  
Reading Comprehension ◽  
Language Processing ◽  
Large Scale ◽  
Human Performance ◽  
Research Field ◽  
Evaluation Metrics ◽  
Future Research ◽  
Benchmark Datasets ◽  
Comprehensive Survey ◽  
Machine Reading

Machine Reading Comprehension (MRC) is a challenging Natural Language Processing (NLP) research field with wide real-world applications. The great progress of this field in recent years is mainly due to the emergence of large-scale datasets and deep learning. At present, a lot of MRC models have already surpassed human performance on various benchmark datasets despite the obvious giant gap between existing MRC models and genuine human-level reading comprehension. This shows the need for improving existing datasets, evaluation metrics, and models to move current MRC models toward “real” understanding. To address the current lack of comprehensive survey of existing MRC tasks, evaluation metrics, and datasets, herein, (1) we analyze 57 MRC tasks and datasets and propose a more precise classification method of MRC tasks with 4 different attributes; (2) we summarized 9 evaluation metrics of MRC tasks, 7 attributes and 10 characteristics of MRC datasets; (3) We also discuss key open issues in MRC research and highlighted future research directions. In addition, we have collected, organized, and published our data on the companion website where MRC researchers could directly access each MRC dataset, papers, baseline projects, and the leaderboard.

scholarly journals Modeling the Process of School Shooters Radicalization (Russian Case)

2021 ◽  
Vol 10 (12) ◽  
pp. 477
Author(s):  
Anna Karpova ◽  
Aleksei Savelev ◽  
Nataliya Maksimova
Keyword(s):  
Content Analysis ◽  
Conceptual Model ◽  
Research Field ◽  
Warning Signs ◽  
Future Research ◽  
Qualitative Properties ◽  
Depth Study ◽  
School Shooters ◽  
The Relationship ◽  
Distinguishing Features

Research on radicalization became relevant to the study of terrorism and violent extremism just two decades ago. The accumulated empirical data on terrorism have led researchers and experts to understand that radicalization is a predictor of violent actions by terrorists, violent extremists, and lone actors. Violent incidents committed by school shooters are not terrorist crimes, but there is good reasons for inclusion as terrorist crimes since they have similar mechanisms. The article aims to create a conceptual model of school-shooter radicalization and determine the distinguishing features of the process. The paper presents a theoretical and methodological base of content analysis concepts, political models, and terrorist radicalization on the different levels of study. Based on the content analysis results, we identify the significant gaps in the research field, consider the radicalization phenomenon in detail, substantiated the qualitative aspects of the school shooters radicalization, and propose a conceptual scheme. Psychological, behavioral, cognitive aspects of the school shooters radicalization reflect a holistic picture of the relationship between the process phases and changes in the parameters of the object’s state. The aspects of radicalization and this phenomenon’s qualitative properties are interpreted as the determinants of the conceptual model. The model includes five stages, each of which is considered to be one of the components for the formation and acceptance of the idea of a violent way to solve a problem, but certainly do not act individually as the only component that leads to the actual implementation of the incident of a school shooting. An in-depth study of online social connections and warning signs, mobilization factors, behavioral trajectories, and imitation mechanisms can help scientists understand why school shooters are increasingly motivated to use violent means to achieve personal goals. We have outlined the possibilities and prospects of the model’s application and directions for future research.

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