This article reports on meta-synthesis research that examined contemporary scholarship on global citizenship for the purpose of identifying a possible alignment with Daisaku Ikeda's views on global citizenship. Thirty relatively contemporary scholarly articles on the subject matter were examined using a qualitative meta-synthesis methodology.…

The language of religious leaders expressed in their sermons characterizes the social characteristics of their groups. Over the past decades, most studies into cults specifically destructive cults and mainstream religion have mainly focused on their social-psychological characteristics with limited applicability to other religious groups. In this…

The present study offers a novel methodology for corpus-based discourse analysis that combines Kenneth Burke's (1968, 1969) dramatistic method of text analysis and the corpus techniques of keyword extraction and concordance reading. Applying the methodology, a two-stage analysis of Donald Trump's 2016 Orlando speech has been conducted: First, at a…

With the increasing use of Artificial Intelligence (AI) technologies in education, the number of published studies in the field has increased. However, no large-scale reviews have been conducted to comprehensively investigate the various aspects of this field. Based on 4,519 publications from 2000 to 2019, we attempt to fill this gap and identify…

The National Assessment Program -- Literacy and Numeracy (NAPLAN) has been a key tenet of Australian education policy since its launch over a decade ago. Print media coverage of NAPLAN and myschool.edu.au, which displays and compares NAPLAN results across Australia, has played a role in both reporting and shaping this aspect of education policy.…

This paper explores the creation and content of apps about Donald Trump (n=412) published in Google Play between June 2015 and January 2018. The relevance of the study stems from both its objectives and its methodology. On the one hand, the aim was to characterise the profile, motivations and purposes of the developers of Donald Trump apps; and on…

The potential of social media to give insight into the dynamic evolution of public conversations, and into their reactive and constitutive role in political activities, has to date been underdeveloped. While topic modeling can give static insight into the structure of a conversation, and keyword volume tracking can show how engagement with a…

Latent Semantic Analysis (LSA) plays an important role in analyzing text data from education settings. LSA represents meaning of words and sets of words by vectors from a k-dimensional space generated from a selected corpus. While the impact of the value of k has been investigated by many researchers, the impact of the selection of documents and…

Teachers' online discussion text data shed light on their reflective thinking. With the growing scale of text data, the traditional way of manual coding, however, has been challenged. In order to process the large-scale unstructured text data, it is necessary to integrate the inductive content analysis method and educational data mining…

This paper presents a critical account of the representation of immigration in the Brexit corpus-- a collective corpus of 108,452,923 words compiled mostly from blogs, tweets, and daily news related to Brexit debate. The study follows the methodological synergy approach proposed by Baker et al. (2008), a heuristic methodological approach that…

ESP textbook plays an important role in facilitating students to develop their profession-related language skills. However, ESP textbooks published in China are less developed and often criticized as ignoring the training of language skills. This research aims to reveal the specific problems of China's ESP textbooks by conducting a multiple-case…

The use of computer-assisted qualitative data analysis software (CAQDAS) has not been without controversy, with a pervasive sense of skepticism and resistance towards its adoption by many scholars. Language-based researchers in particular, such as conversation and discourse analysts, have been slow to embrace such tools for their work. In this…

Reflective learning refers to a learner's purposeful and conscious manipulation of ideas toward meaningful learning. Blogs have been used to support reflective thinking, but the commonly seen blog software usually does not provide overt mechanisms for students' high-level reflections. A new tool was designed to support the reflective…

Objective: To examine the discursive strategies deployed by community colleges to sustain legitimacy in an evolving and contradictory institutional environment. Method: Using corpus linguistics software, I compared 1,009 mission statements from 2012-2013 with a reference corpus of 427 mission statements from 2004. Results: Keywords analysis,…

Completion rates for massive open online classes (MOOCs) are notoriously low, but learner intent is an important factor. By studying students who drop out despite their intent to complete the MOOC, it may be possible to develop interventions to improve retention and learning outcomes. Previous research into predicting MOOC completion has focused…