The need to identify student cognitive engagement in online-learning settings has increased with our use of online learning approaches because engagement plays an important role in ensuring student success in these environments. Engaged students are more likely to complete online courses successfully, but this setting makes it more difficult for…

We encounter variables with little variation often in educational data mining (EDM) due to the demographics of higher education and the questions we ask. Yet, little work has examined how to analyze such data. Therefore, we conducted a simulation study using logistic regression, penalized regression, and random forest. We systematically varied the…

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…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

Discussion forums in learning management systems (LMS) have been shown to promote student interaction and contribute to the collaborative practice in the teaching-learning process. By evaluating the postings, teachers can identify students with learning difficulties. However, due to the large volume of posts that are generated on a daily basis in…

This paper summarises a new method of grouping postgraduate taught (PGT) courses introduced at Oxford Brookes University as a part of a Portfolio Review. Instead of classifying courses by subject, the new cluster approach uses statistical methods to group the courses based on factors including flexibility of study options, level of specialisation,…

In this paper we show how we can utilize human-guided machine learning techniques coupled with a learning science practitioner interface (DataShop) to identify potential improvements to existing educational technology. Specifically, we provide an interface for the classification of underlying Knowledge Components (KCs) to better model student…

The present study investigated the production of the speech act of disagreement among Tunisian non-native students of English and American native speakers of English. Discourse completion test (DCT) was used to elicit disagreement strategies by the informants. Non-native informants produced a total of 376 acts and native informants produced 395…

This article discusses the current challenges faced by the two authors--both participants on a professional doctorate (PD) programme in education at a leading UK university--in gaining legitimacy as higher education (HE) professionals. By: (1) reflecting upon their own professional experiences in HE and as PD students; (2) utilizing…

This paper explores the views of a group of career development practitioners undertaking a postgraduate qualification as a form of continuing professional development (CPD). It offers insights into how these practitioners perceive and view different forms of CPD. A case study methodology was adopted to gather examples of the CPD activities…

Genre analysis is today's dominant approach for textual analysis, especially in the ESP learning and teaching profession. Adopting this approach, the present study compares the Introduction chapters of MA theses in ELT (English Language Teaching) written by Thai students to those written by American university students based on the move-step…

This study examined associations between Asian international students' perceived quality of contact with faculty, administrative personnel and other students, and self-reported gains in areas identified in "College Students Experience Questionnaire." The sample included 705 Asian students from 25 research universities across the United…

Exemplar-similarity models such as the exemplar-based random walk (EBRW) model (Nosofsky & Palmeri, 1997b) were designed to provide a formal account of multidimensional classification choice probabilities and response times (RTs). At the same time, a recurring theme has been to use exemplar models to account for old-new item recognition and to…

We formalize and provide tests of a set of logical-rule models for predicting perceptual classification response times (RTs) and choice probabilities. The models are developed by synthesizing mental-architecture, random-walk, and decision-bound approaches. According to the models, people make independent decisions about the locations of stimuli…

It is essential for teachers and teacher educators alike to understand how teachers conceptualize multicultural education. It is such understandings that will help a teacher education program meet the real needs of both the teachers and their students. After all, it is the teacher who works with diversity in the classroom and who must make…