Описание: Natural Language Processing.- Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification.- A Framework for Classifying Temporal Relations with Question Encoder.- When to use OCR post-correction for named entity recognition?.- Semi-Supervised Named-Entity Recognition for Product Attribute Extraction in Book Domain.- Knowledge Structures.- Semantic Segmentation of MOOC Lecture Videos by Analyzing Concept Change in Domain Knowledge Graph.- Towards Customizable Chart Visualizations of Tabular Data Using Knowledge Graphs.- Wikipedia-based Entity Linking for the Digital Library of Polish and Poland-Related News Pamphlets.- Representing Semantified Biological Assays in the Open Research Knowledge Graph.- Construction of Dunhuang Cultural Heritage Knowledge Baseї1/4Take Cave 220 As An Example.- Citation Data Analysis ReViz: A tool for automatically generating citation graphs and variants.- A Large-Scale Analysis of Cross-Lingual Citations in English Papers.- How do retractions in Influence the citations of retracted articles?.- Identification of Research Data References Based on Citation Contexts.- User Analytics.- A Predictive Model for Citizens' Utilization of Open Government Data Portals.- Extracting User Interests from Operation Logs on Museum Devices for Post-Learning.- A Motivational Design Approach to Integrate MOOCs in Traditional Classrooms.- Analysis of Crowdsourced Multilingual Keywords in the Futaba Digital Archive: Lessons Learned for Better Metadata Collection.- Aging Well with Health Information: Examining Health Literacy and Information Seeking Behavior Using a National Survey Dataset.- Application of Cultural and Historical Data.- Entity Linking for Historical Documents: Challenges and Solutions.- Using Deep Learning to Recognize Handwritten Thai Noi Characters in Ancient Palm Leaf Manuscripts.- Unchiku Generation Using a Narrative Explanation Mechanism.- Analyzing the Stage Performance Structure of a Kabuki-dance, Kyoganoko Musume Dojoji Using an Animation System.- Artwork Information Embedding Framework for Multi-source Ukiyo-e Record Retrieval.- A Preliminary Attempt to Evaluate Machine Translations of Ukiyo-e Metadata Records.- Social Media.- Collective sensemaking and location-related factors in the context of a brand-related online rumor.- Identifying the Types of Digital Footprint Data used to Predict Psychographic & Human Behaviour.- Pro ling Bot Accounts Mentioning COVID-19 Publications on Twitter.- Uncovering Topics Related to COVID-19 Pandemic on Twitter.- Classification in the LdoD Archive: A crowdsourcing and gamification approach.- Metadata and Infrastructure.- SchenQL: Evaluation of a Query Language for Bibliographic Metadata.- Domain-focused linked data crawling driven by a semantically defined frontier: a cultural heritage case study in Europeana.- The Intellectual Property Risks of Integrating Public Digital Cultural Resources in China.- Metadata Interoperability for Institutional Repositories: a Case Study in Malang City Academic Libraries.- MetaPro les - a mechanism to express metadata schema, privacy, rights and provenance for data interoperability.- Scholarly Data Mining.- Creating a Scholarly Knowledge Graph from Survey Article Tables.- A Novel Researcher Search System Based on Research Content Similarity and Geographic Information.- Predicting Response Quantity from Linguistic Characteristics of Questions on Academic Social Q&A Sites.- An Empirical Study of Importance of Different Sections in Research Articles Towards Ascertaining their Appropriateness to a Journal.- On the Correlation between Research Complexity and Academic Competitiveness.
Описание: In recent years, technological advancements have enabled higher-learning institutions to offer millions of independent learners the opportunity to participate in open-access online courses. As this practice expands, drawing considerable media attention, questions continue to arise regarding pedagogical methodology and the long-term viability of open learning.Furthering Higher Education Possibilities through Massive Open Online Courses seeks to provide a space for discussion of MOOCs: what they mean for the learning process, how they are redefining the concept of a classroom, and what effects they may have on the role of teachers. Featuring emerging research on a variety of topics relating to distance education, informal learning, as well as educational costs and funding, this book is aimed at teachers, administrators, business professionals, and designers of both curricular resources and e-classroom technology.
Автор: Mckay & Lenarcic Название: Macro-Level Learning Through Massive Open Online Courses (Moocs) ISBN: 1466683244 ISBN-13(EAN): 9781466683242 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: To some in academia, Massive Open Online Courses are a paradigm shift in online education, while others perceive them as a threat to traditional styles of pedagogy. In this regard, the time-honored model of the university lecture is seen as being a potential casualty of the rise of MOOCs.Macro-Level Learning through Massive Open Online Courses (MOOCs): Strategies and Predictions for the Future provides insight into the emerging phenomenon of MOOCs as a design manual for the course designer with a collection of chapters that deal with all facets of the MOOC debate. Industry training developers, corporate trainers, educators, post graduate students, and others will benefit from the information provided in this book.
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