Evaluating the use of a mobile annotation system for geography education

ASTAR partia

Digital Scripture: An Investigation of the Design and Use of a Mobile Application for Reading Sacred Text

Digital sacred text reading is rapidly growing as digital devices such as mobile smartphones are becoming more common across the globe. Although sacred text can have strong influence on identify and behavior, the effects of a digital revolution on scripture reading practices are not well understood. In particular, current research literature indicates that more information is needed about the design and use of digital sacred text applications (apps) such as mobile Bibles across different religious groups or cultures. Therefore, this study builds upon and extends previous work to analyze a religious text app, Gospel Library, which is designed and largely used by members of The Church of Jesus Christ of Latter-day Saints. Data about the design of the app were collected by analyzing app store description text, conducting a technical app walkthrough, and interviewing current app design team members. Data about the usage of Gospel Library were collected by gaining permission from the design organization to access user analytic data collected during normal app operations. Results of the study show that this digital sacred text app is designed and used in ways that support religious or cultural reading values and norms. In particular, this study suggests that Latter-day Saints appear to value the King James Version of the English Bible and other unique religious text such as the Book of Mormon and General Conference sermons or messages. Results also suggest Latter-day Saints value church-wide directed scripture reading efforts situated in a culture of listening and receiving interpretation as opposed to social discussions of scripture. Furthermore, this study reports unique features or affordances that digital sacred texts can offer including audio capabilities, videos, search functions, sharing, highlighting, and other annotations. This study contributes to the research field of digital sacred text literacy by offering data gathered from an app design organization including interviews and user analytic data. It also adds to the broader conversation about religious literacy and digital versus print-based reading

Social Learning Systems: The Design of Evolutionary, Highly Scalable, Socially Curated Knowledge Systems

In recent times, great strides have been made towards the advancement of automated reasoning and knowledge management applications, along with their associated methodologies. The introduction of the World Wide Web peaked academicians’ interest in harnessing the power of linked, online documents for the purpose of developing machine learning corpora, providing dynamical knowledge bases for question answering systems, fueling automated entity extraction applications, and performing graph analytic evaluations, such as uncovering the inherent structural semantics of linked pages. Even more recently, substantial attention in the wider computer science and information systems disciplines has been focused on the evolving study of social computing phenomena, primarily those associated with the use, development, and analysis of online social networks (OSN\u27s). This work followed an independent effort to develop an evolutionary knowledge management system, and outlines a model for integrating the wisdom of the crowd into the process of collecting, analyzing, and curating data for dynamical knowledge systems. Throughout, we examine how relational data modeling, automated reasoning, crowdsourcing, and social curation techniques have been exploited to extend the utility of web-based, transactional knowledge management systems, creating a new breed of knowledge-based system in the process: the Social Learning System (SLS). The key questions this work has explored by way of elucidating the SLS model include considerations for 1) how it is possible to unify Web and OSN mining techniques to conform to a versatile, structured, and computationally-efficient ontological framework, and 2) how large-scale knowledge projects may incorporate tiered collaborative editing systems in an effort to elicit knowledge contributions and curation activities from a diverse, participatory audience

Semantics-Driven Aspect-Based Sentiment Analysis

People using the Web are constantly invited to share their opinions and preferences with the rest of the world, which has led to an explosion of opinionated blogs, reviews of products and services, and comments on virtually everything. This type of web-based content is increasingly recognized as a source of data that has added value for multiple application domains. While the large number of available reviews almost ensures that all relevant parts of the entity under review are properly covered, manually reading each and every review is not feasible. Aspect-based sentiment analysis aims to solve this issue, as it is concerned with the development of algorithms that can automatically extract fine-grained sentiment information from a set of reviews, computing a separate sentiment value for the various aspects of the product or service being reviewed. This dissertation focuses on which discriminants are useful when performing aspect-based sentiment analysis. What signals for sentiment can be extracted from the text itself and what is the effect of using extra-textual discriminants? We find that using semantic lexicons or ontologies, can greatly improve the quality of aspect-based sentiment analysis, especially with limited training data. Additionally, due to semantics driving the analysis, the algorithm is less of a black box and results are easier to explain

Reading with Social, Digital Annotation: Encouraging Engaged Critical Reading in a Challenging Age

This design-based research study examines the pedagogical role of social, digital annotation in teaching reading as rhetorical invention, particularly the kind of invention necessary for thoughtful democratic participation in the contemporary discursive era, often described as troubled. In this dissertation study, I deployed a classroom-based intervention meant to challenge how educators in rhetoric and composition/writing studies might directly address the acute and exigent discursive struggle in the first-year composition classroom. This study ultimately finds that social, digital annotation invites significant shifts in students’ reading habits, in that Hypothes.is-based annotations yielded a far more complex, multifaceted set of reading skills, behaviors, and dispositions than the pre-intervention private annotations. The social annotation experience proved far more performative and, therefore, highly rhetorical and inventive, encouraging an agentic approach to reading that many FYC teacher-scholars crave. In addition to the performative nature of SDA (Hypothes.is, specifically), the social engagement among readers afforded by this relatively new digital tool of reading were the biggest catalysts for change. As a result, SDA may have that capacity as a technology to arrange meaning-making interactions in ways that are visible to the students themselves, shifting their perspectives on agency within reading

Annotations in Scholarly Editions and Research

The notion of annotation is associated in the Humanities and Information Sciences with different concepts that vary in coverage, application and direction of impact, but have conceptual parallels as well. This publication reflects on different practices and associated concepts of annotation, puts them in relation to each other and attempts to systematize their commonalities and divergences in an interdisciplinary perspective

Deliverable D1.1 State of the art and requirements analysis for hypervideo

This deliverable presents a state-of-art and requirements analysis report for hypervideo authored as part of the WP1 of the LinkedTV project. Initially, we present some use-case (viewers) scenarios in the LinkedTV project and through the analysis of the distinctive needs and demands of each scenario we point out the technical requirements from a user-side perspective. Subsequently we study methods for the automatic and semi-automatic decomposition of the audiovisual content in order to effectively support the annotation process. Considering that the multimedia content comprises of different types of information, i.e., visual, textual and audio, we report various methods for the analysis of these three different streams. Finally we present various annotation tools which could integrate the developed analysis results so as to effectively support users (video producers) in the semi-automatic linking of hypervideo content, and based on them we report on the initial progress in building the LinkedTV annotation tool. For each one of the different classes of techniques being discussed in the deliverable we present the evaluation results from the application of one such method of the literature to a dataset well-suited to the needs of the LinkedTV project, and we indicate the future technical requirements that should be addressed in order to achieve higher levels of performance (e.g., in terms of accuracy and time-efficiency), as necessary

Media streams--representing video for retrieval and repurposing

Thesis (Ph. D.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1995.Includes bibliographical references (p. 325-344).by Marc Eliot Davis.Ph.D

Proceedings der 11. Internationalen Tagung Wirtschaftsinformatik (WI2013) - Band 1

The two volumes represent the proceedings of the 11th International Conference on Wirtschaftsinformatik WI2013 (Business Information Systems). They include 118 papers from ten research tracks, a general track and the Student Consortium. The selection of all submissions was subject to a double blind procedure with three reviews for each paper and an overall acceptance rate of 25 percent. The WI2013 was organized at the University of Leipzig between February 27th and March 1st, 2013 and followed the main themes Innovation, Integration and Individualization.:Track 1: Individualization and Consumerization Track 2: Integrated Systems in Manufacturing Industries Track 3: Integrated Systems in Service Industries Track 4: Innovations and Business Models Track 5: Information and Knowledge ManagementDie zweibändigen Tagungsbände zur 11. Internationalen Tagung Wirtschaftsinformatik (WI2013) enthalten 118 Forschungsbeiträge aus zehn thematischen Tracks der Wirtschaftsinformatik, einem General Track sowie einem Student Consortium. Die Selektion der Artikel erfolgte nach einem Double-Blind-Verfahren mit jeweils drei Gutachten und führte zu einer Annahmequote von 25%. Die WI2013 hat vom 27.02. - 01.03.2013 unter den Leitthemen Innovation, Integration und Individualisierung an der Universität Leipzig stattgefunden.:Track 1: Individualization and Consumerization Track 2: Integrated Systems in Manufacturing Industries Track 3: Integrated Systems in Service Industries Track 4: Innovations and Business Models Track 5: Information and Knowledge Managemen