Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities

Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities

Author: Gupta, Varun

Publisher: IGI Global

Published: 2019-08-30

Total Pages: 196

ISBN-13: 1522596615

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With today’s technological advancements, the evolution of software has led to various challenges regarding mass markets and crowds. High quality processing must be capable of handling large groups in an efficient manner without error. Solutions that have been applied include artificial intelligence and natural language processing, but extensive research in this area has yet to be undertaken. Crowdsourcing and Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities is a pivotal reference source that provides vital research on the application of crowd-based software engineering and supports software engineers who want to improve the manner in which software is developed by increasing the accuracy of probabilistic reasoning to support their decision-making and getting automation support. While highlighting topics such as modeling techniques and programming practices, this publication is ideally designed for software developers, software engineers, computer engineers, executives, professionals, and researchers.


Teaching Innovation in University Education: Case Studies and Main Practices

Teaching Innovation in University Education: Case Studies and Main Practices

Author: Saura, Jose Ramon

Publisher: IGI Global

Published: 2022-06-17

Total Pages: 315

ISBN-13: 1668444429

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In the last decade, the development of new technologies has made innovation a fundamental pillar of education. Teaching innovation includes the evolution of both teaching and learning models to drive improvements in educational methodologies. Teaching innovation is a pioneer in the understanding and comprehension of the different teaching methodologies and models developed in the academic area. Teaching innovation is a process that seeks validation in the academic and teaching communities at universities in order to promote the improvement and its practices and uses in the future characterized by digital development and data-based methods. Teaching Innovation in University Education: Case Studies and Main Practices features the major practices and case studies of teaching innovation developed in recent years at universities. It is a source on study cases focused on teaching innovation methodologies as well as on the identification of new technologies that will help the development of initiatives and practices focused on teaching innovation at higher education institutions. Covering topics such as didactic strategics, service learning, and technology-based gamification, this premier reference source is an indispensable resource for pre-service teachers, lecturers, students, faculty, administrators, libraries, entrepreneurs, researchers, and academicians.


Mobile and Sensor-Based Technologies in Higher Education

Mobile and Sensor-Based Technologies in Higher Education

Author: Sözüdo?ru, Oytun

Publisher: IGI Global

Published: 2022-09-23

Total Pages: 352

ISBN-13: 1668454017

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At all educational levels, innovation is progressively becoming an intrinsic aspect of learning. The proliferation of mobile devices and sensor-based technologies increased the possibilities for learning and pushed it into institutions. One major challenge accompanying the growth in online education is that many teacher educators find themselves under pressure and underprepared to teach online courses. As online education continues to grow, curriculum and training that prepares teachers for online course design and delivery are critical. Mobile and Sensor-Based Technologies in Higher Education explores how mobile and sensor-based technologies are shaping higher education and creating a roadmap for harnessing artificial intelligence, online learning, distance learning, and other modern technologies to aid education. Covering key topics such as assessment, inclusive education, and social distancing, this reference work is ideal for policymakers, researchers, scholars, academicians, practitioners, instructors, and students.


Agile Scrum Implementation and Its Long-Term Impact on Organizations

Agile Scrum Implementation and Its Long-Term Impact on Organizations

Author: Walsh, Kenneth R.

Publisher: IGI Global

Published: 2020-08-21

Total Pages: 268

ISBN-13: 1799848868

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Software engineering has surfaced as an industrial field that is continually evolving due to the emergence of advancing technologies and innovative methodologies. Scrum is the most recent revolution that is transforming traditional software procedures, which has researchers and practitioners scrambling to find the best techniques for implementation. The continued development of this agile process requires an extensive level of research on up-to-date findings and applicable practices. Agile Scrum Implementation and Its Long-Term Impact on Organizations is a collection of innovative research on the methods and applications of scrum practices in developing agile software systems. The book combines perspectives from both the academic and professional communities as the challenges and solutions expressed by each group can create a better understanding of how practice must be applied in the real world of software development. While highlighting topics including scrum adoption, iterative deployment, and human impacts, this book is ideally designed for researchers, developers, engineers, practitioners, academicians, programmers, students, and educators seeking current research on practical improvements in agile software progression using scrum methodologies.


Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era

Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era

Author: Keikhosrokiani, Pantea

Publisher: IGI Global

Published: 2022-06-24

Total Pages: 484

ISBN-13: 1668441705

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The emergence of new technologies within the industrial revolution has transformed businesses to a new socio-digital era. In this new era, businesses are concerned with collecting data on customer needs, behaviors, and preferences for driving effective customer engagement and product development, as well as for crucial decision making. However, the ever-shifting behaviors of consumers provide many challenges for businesses to pinpoint the wants and needs of their audience. The Handbook of Research on Consumer Behavior Change and Data Analytics in the Socio-Digital Era focuses on the concepts, theories, and analytical techniques to track consumer behavior change. It provides multidisciplinary research and practice focusing on social and behavioral analytics to track consumer behavior shifts and improve decision making among businesses. Covering topics such as consumer sentiment analysis, emotional intelligence, and online purchase decision making, this premier reference source is a timely resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, libraries, students and educators of higher education, researchers, and academicians.


Technology Management and Its Social Impact on Education

Technology Management and Its Social Impact on Education

Author: Lai, P.C.

Publisher: IGI Global

Published: 2023-08-18

Total Pages: 341

ISBN-13: 1668491044

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Technology Management and Its Social Impact on Education, edited by PC Lai from the University of Malaya, Malaysia, is an essential resource for anyone interested in understanding the transformative role of technology in education and its impact on society. The book covers a broad range of education concepts, strategies, and sectors, including innovation in education, green education, technology management in education, leadership, management & and HR practices, services, and more. It also examines the challenges and opportunities of education value creation, knowledge management, technology transfer, internationalization of education, innovative supply chain, social and economic impact, and social business in the education world. This book provides a forum for the exchange of research ideas and practices and is a reference convergence point for academicians, professionals, managers, and researchers in the entrepreneurship field, including development practitioners. It offers invaluable insights into the transformative role of technology in education and is a must-read for anyone interested in staying at the forefront of education and technology. Whether you are an academician, a practitioner, a researcher, a student, a writer, a blockchain or NFT community member, a corporate manager, a policy maker, or a government official, this book will equip you with the knowledge and skills necessary to navigate the complex relationship between technology, education, and society.


Preparing Faculty for Technology Dependency in the Post-COVID-19 Era

Preparing Faculty for Technology Dependency in the Post-COVID-19 Era

Author: Bawa, Papia

Publisher: IGI Global

Published: 2022-02-04

Total Pages: 283

ISBN-13: 1799892379

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To cope with the pandemic, many educational institutions in the United States have resorted to emergency remote teaching (ERT). Distance/online learning is a complex process in terms of the design, analysis, and time taken to develop and implement courses and programs. Having been around for decades, it has evolved and morphed into a multidimensional procedure that needs meticulous planning, evolution, and evaluation. It provides meaningful learning experiences to students who may not otherwise have the option to attend college. Students of distance/online courses and programs usually choose to join voluntarily, and designers of such programs purposefully plan for them to be online from the start. In contrast, ERT is an emergency/crisis-based need to move teaching and learning to alternative environments until the crisis is averted or ended. Preparing Faculty for Technology Dependency in the Post-COVID-19 Era is a comprehensive guide that focuses on preparing pre-service teachers, in-service teachers, and higher education faculty to harness technology dependence in an emergency remote teaching era by discussing current and post-pandemic preparedness. Covering a wide range of topics such as digital reality, teacher preparedness, and technology dependency, this book is crucial for educators, administrators, pre-service teachers, researchers, academicians, and students.


Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities

Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities

Author: Paul, Dimple Valayil

Publisher: IGI Global

Published: 2021-01-08

Total Pages: 229

ISBN-13: 1799837734

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The main problems that prevent fast and high-quality document processing in electronic document management systems are insufficient and unstructured information, information redundancy, and the presence of large amounts of undesirable user information. The human factor has a significant impact on the efficiency of document search. An average user is not aware of the advanced option of a query language and uses typical queries. Development of a specialized software toolkit intended for information systems and electronic document management systems can be an effective solution of the tasks listed above. Such toolkits should be based on the means and methods of automatic keyword extraction and text classification. The categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last 10 years due to the increased availability of documents in digital form and the ensuing need to organize them. Thus, research on keyword extraction, advancements in the field, and possible future solutions is of great importance in current times. Developing a Keyword Extractor and Document Classifier: Emerging Research and Opportunities presents an information extraction mechanism that can process many kinds of inputs, realize the type of text, and understand the percentage of the keywords that has to be stored. This mechanism then supports information extraction and information categorization mechanisms. This module is used to support a text summarization mechanism, which leads—with the help of the keyword extraction module—to text categorization. It employs lexical and information retrieval techniques to extract phrases from the document text that are likely to characterize it and determines the category of the retrieved text to present a summary to the users. This book is ideal for practitioners, stakeholders, researchers, academicians, and students who are interested in the development of a new keyword extractor and document classifier method.


Data-Driven Business Intelligence Systems for Socio-Technical Organizations

Data-Driven Business Intelligence Systems for Socio-Technical Organizations

Author: Keikhosrokiani, Pantea

Publisher: IGI Global

Published: 2024-04-09

Total Pages: 514

ISBN-13:

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The convergence of modern technology and social dynamics have shaped the very fabric of today’s organizations, making the role of Business Intelligence (BI) profoundly significant. Data-Driven Business Intelligence Systems for Socio-Technical Organizations delves into the heart of this transformative realm, offering an academic exploration of the tools, strategies, and methodologies that propel enterprises toward data-driven decision-making excellence. Socio-technical organizations, with their intricate interplay between human and technological components, require a unique approach to BI. This book embarks on a comprehensive journey, revealing how BI tools empower these entities to decipher the complexities of their data landscape. From user behavior to social interactions, technological systems to environmental factors, this work sheds light on the multifaceted sources of information that inform organizational strategies. Decision-makers within socio-technical organizations leverage BI insights to discern patterns, spot trends, and uncover correlations that influence operations and the intricate social dynamics within their entities. Research covering real-time monitoring and predictive analytics equips these organizations to respond swiftly to demands and anticipate future trends, harnessing the full potential of data. The book delves into their design, development, and architectural nuances, illuminating these concepts through case studies. This book is ideal for business executives, entrepreneurs, data analysts, marketers, government officials, educators, and researchers.


Encyclopedia of Data Science and Machine Learning

Encyclopedia of Data Science and Machine Learning

Author: Wang, John

Publisher: IGI Global

Published: 2023-01-20

Total Pages: 3296

ISBN-13: 1799892212

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Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.