Diversified emotional responses are generally referred as the evidence of showing categorical perception of major and minor modes. Yet it is uncertain whether the categorical performance is independent to the emotion tagging. This study therefore adopted a direct measure with the proper controlled stimuli to reexamine the categorial nature of…

Radical social movements are broadly engaged in, and dedicated to, promoting change in their social environment. In their corresponding efforts to call attention to various causes, communicate with like-minded groups, and mobilize support for their activities, radical social movements also produce an enormous amount of text. These texts, like…

According to the Felder and Silverman Learning Styles Model (FSM), students have learning preferences regarding how information is obtained, processed, perceived and understood. The Index of Learning Styles (ILS) is an online questionnaire created by Felder and Soloman to classify students according to their learning styles. With a priori…

Several recent studies have successfully identified college student typologies based on individuals' behaviors. One limitation of past studies has been their reliance on one-time cross-sectional assessments. As a result, we are left to ponder the stability of students' behavioral types as their academic years move forward. This study used…

Purpose: The purpose of this study was to investigate how the distinctive establishment of 2nd language (L2) vowel categories (e.g., how distinctively an L2 vowel is established from nearby L2 vowels and from the native language counterpart in the 1st formant [F1] × 2nd formant [F2] vowel space) affected L2 vowel perception. Method: Identification…

Background: With the Korea Accreditation Board of Nursing Education emphasizing the importance of including the proper operation of simulation exercises to the certification criteria of simulation education, there is a need to synthesize literature on simulation scenarios related to adult health nursing according to the learning objectives.…

Purpose: This study explores the potential of the Farm Accountancy Data Network (FADN) to assess the technical, economic and environmental effects of cooperative innovation projects at farm level. Design/Methodology/Approach: The analysis of the FADN potential relies on the classification of innovations and the co-identification, through the Most…

Most of the existing classification accuracy indices of attribute patterns lose effectiveness when the response data is absent in diagnostic testing. To handle this issue, this article proposes new indices to predict the correct classification rate of a diagnostic test before administering the test under the deterministic noise input…

Analysis of keystroke logging data is of increasing interest, as evident from a substantial amount of recent research on the topic. Some of the research on keystroke logging data has focused on the prediction of essay scores from keystroke logging features, but linear regression is the only prediction method that has been used in this research.…

Dual-process models of recognition memory typically assume that independent familiarity and recollection signals with distinct temporal profiles can each lead to recognition (enabling 2 routes to recognition), whereas single-process models posit a unitary "memory strength" signal. Using multivariate classifiers trained on spectral…

This paper argues that medium for information access becomes central to library and information science. The author discusses the notion of medium, medium neutrality, and personalization and suggests that the dominating paradigm of providing fast, efficient, and neutral systems and services for retrieving information has sidetracked opportunities…

The UK's HE system is mired in public debate around 'grade inflation', and there is substantial pressure to address the perceived devaluation of degrees through blunt policy measures such as modifying classification algorithms. Policy-makers should be aware of the impact of their actions upon students' learning; this article frames some of the…

The types of programming errors that novice programmers make and struggle to resolve have long been of interest to researchers. Various past studies have analyzed the frequency of compiler diagnostic messages. This information, however, does not have a direct correlation to the types of errors students make, due to the inaccuracy and imprecision…

Educators use various statistical techniques to explain relationships between latent and observable variables. One way to model these relationships is to use Bayesian networks as a scoring model. However, adjusting the conditional probability tables (CPT-parameters) to fit a set of observations is still a challenge when using Bayesian networks. A…

In this paper we review the professional learning and development (PLD) needs of teachers in rural and remote schools, focusing on the Australian context. We argue that online PLD is an emerging alternative to face-to-face arrangements for the continuing education of teachers, which can connect to rural contexts through attending to considerations…