Mastering Digital Libraries in the Digital Age

Kasemsap, Kijpokin

doi:10.4018/978-1-5225-0474-0.ch015

Cited by 10 publications

(1 citation statement)

References 184 publications

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“…). This is a result of several trends, including the shift to provide digital access to most classical scientific journals, the emergence of many new information outlets—some of which are solely digital—and the digital scanning of older articles, books, and other scientific outputs (Connaway ; Raschke ; Kasemsap ). Although recognized for half a century (Margolis ; London ), the growing influx of indexable, subsettable, and easily accessible text corpora from many sources and eras brings much promise for improved and novel scientific endeavors (Philip Chen & Zhang ).…”

Section: Introductionmentioning

confidence: 99%

Using machine learning to disentangle homonyms in large text corpora

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Correia

Berger‐Tal

2018

Conservation Biology

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Systematic reviews are an increasingly popular decision-making tool that provides an unbiased summary of evidence to support conservation action. These reviews bridge the gap between researchers and managers by presenting a comprehensive overview of all studies relating to a particular topic and identify specifically where and under which conditions an effect is present. However, several technical challenges can severely hinder the feasibility and applicability of systematic reviews, for example, homonyms (terms that share spelling but differ in meaning). Homonyms add noise to search results and cannot be easily identified or removed. We developed a semiautomated approach that can aid in the classification of homonyms among narratives. We used a combination of automated content analysis and artificial neural networks to quickly and accurately sift through large corpora of academic texts and classify them to distinct topics. As an example, we explored the use of the word reintroduction in academic texts. Reintroduction is used within the conservation context to indicate the release of organisms to their former native habitat; however, a Web of Science search for this word returned thousands of publications in which the term has other meanings and contexts. Using our method, we automatically classified a sample of 3000 of these publications with over 99% accuracy, relative to a manual classification. Our approach can be used easily with other homonyms and can greatly facilitate systematic reviews or similar work in which homonyms hinder the harnessing of large text corpora. Beyond homonyms we see great promise in combining automated content analysis and machine-learning methods to handle and screen big data for relevant information in conservation science.

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Section: Introductionmentioning

confidence: 99%

Using machine learning to disentangle homonyms in large text corpora

Roll

Correia

Berger‐Tal

2018

Conservation Biology

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The Importance of Teacher Education in Global Education

Kasemsap

Teacher Education for Ethical Professional Practice in the 21st Century

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This chapter explains the overview of teacher education; teacher education, technological approach, and learning materials; the perspectives on teacher educator; the perspectives on novice teacher; teacher education and teacher competence; teacher education, teacher identity, and social justice; and the importance of teacher education in global education. Teacher education is a continuous process, starting with preservice teacher education, followed by in-service education and continuing education. The aim of teacher education is to create a pedagogically thinking teacher with adequate amounts of theoretical background knowledge and a reflectively-critical attitude toward the challenges encountered in the teaching profession. Technology pedagogy, the 21st century skills, and ethical approaches are very important for preservice teacher practices. The chapter argues that encouraging teacher education has the potential to improve educational performance and gain sustainable competitive advantage in global education.

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Electronic Learning

Kasemsap

2017

Handbook of Research on Innovative Pedagogies and Technologies for Online Learning in Higher Education

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This chapter aims to explain the overview of electronic learning (e-learning); the emerging trends in e-learning; the important factors of e-learning; the relationships among e-learning quality, learning satisfaction, and learning motivation; the implementation of e-learning; the approaches and barriers to e-learning utilization; e-learning for medical and nursing education; and the significance of e-learning in modern education. When compared to the traditional mode of classroom learning, there is clear evidence that e-learning brings faster delivery, lower costs, more effective learning, and lower environmental impact in the modern learning environments. E-learning allows each individual to tackle the subject at their own pace, with interactive tasks being set in place to ensure a thorough understanding throughout each module. The chapter argues that utilizing e-learning has the potential to increase educational performance and reach strategic goals in modern education.

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Mastering Digital Libraries in the Digital Age

Cited by 10 publications

References 184 publications

Using machine learning to disentangle homonyms in large text corpora

Using machine learning to disentangle homonyms in large text corpora

The Importance of Teacher Education in Global Education

Electronic Learning

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