Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…

Programming skills (PS) are indispensable abilities in the information age, but the current research on PS cultivation mainly focuses on the teaching methods and lacks the analysis of program features to explore the differences in learners' PS and guide programming learning. Therefore, the purpose of this study aims to explore horizontal…

Educational data mining is widely deployed to extract valuable information and patterns from academic data. This research explores new features that can help predict the future performance of undergraduate students and identify at-risk students early on. It answers some crucial and intuitive questions that are not addressed by previous studies.…

The digital era has significantly reshaped journalism, emphasizing the pivotal role of data-driven reporting. This review delves into the nexus of data journalism and journalism education, investigating dominant study characteristics, challenges, and gaps for future research. Examining 41 relevant articles through the Arksey and O'Malley…

This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…

MOOCs can be considered as a powerful alternative in extraordinary situations where people cannot reach formal education. In recent years, the widespread use of the internet worldwide and especially the COVID-19 has increased the need of people for MOOCs. However, in order to increase the effectiveness of MOOCs, and to provide a better learning…

This article proposes a three-step methodological framework called computational grounded theory, which combines expert human knowledge and hermeneutic skills with the processing power and pattern recognition of computers, producing a more methodologically rigorous but interpretive approach to content analysis. The first, pattern detection step,…

Extensive reading for second language learners have been widely documented over the past few decades. However, few studies, if any, have used a corpus analysis approach to analyze the vocabulary coverage within a single-author story series, its repetition of vocabulary, and the incidental and intentional vocabulary learning opportunities therein.…

Observers often remember a scene as containing information that was not presented but that would have likely been located just beyond the observed boundaries of the scene. This effect is called "boundary extension" (BE; e.g., Intraub & Richardson, 1989). Previous studies have observed BE in memory for visual and haptic stimuli, and…

This article outlines some of the findings of a project funded by the German Research Association which conducted an analysis of six leading journals of education in Germany and England. All articles published in these journals between 2001 and 2009 were analysed according to thematic foci, methodological approaches and characteristics of authors.…

Which repair strategy does the language system deploy when it gets garden-pathed, and what can regressive eye movements in reading tell us about reanalysis strategies? Several influential eye-tracking studies on syntactic reanalysis ([Frazier and Rayner, 1982], [Meseguer et al., 2002] and [Mitchell et al., 2008]) have addressed this question by…

This article provides an overview of the ways in which data and text mining have potential as research methodologies in composition studies. It introduces data mining in the context of the field of composition studies and discusses ways in which this methodology can complement and extend our existing research practices by blending the best of what…

This dissertation focuses on developing and evaluating hybrid approaches for analyzing free-form text in the medical domain. This research draws on natural language processing (NLP) techniques that are used to parse and extract concepts based on a controlled vocabulary. Once important concepts are extracted, additional machine learning algorithms,…

Purpose: The purpose of this paper is to identify the legacies of the "Journal of Educational Administration" ("JEA") since its foundation in 1963 to the present (2011) and to illuminate the main contributions of the Journal to the academic field of educational administration (EA) worldwide. Design/methodology/approach: The…

Despite an increasing demand for marketing researchers familiar with ethnographic methods, ethnographic consumer research has received little coverage in current marketing curricula. The innovation discussed in the present paper addresses this problem: it introduces the notion of "cultural relativism" and gives students hands-on experience in…