As universities are undergoing transformations produced by trends towards marketisation, massification, new public management, and 'third mission' of socio-economic impact, higher education (HE) researchers are increasingly concerned with the implications of the HE sector change on academic practice, professional identities, and even wellbeing.…

Importance and prevalence of STEM, which is a holistic educational approach that includes science, technology, engineering and mathematics, has been increasing in recent years. It is stated that STEM is very important for countries to compete and stand out in the new world order and economy. In this study, postgraduate theses on STEM education in…

The main aim of this research is to display research trends in studies on augmented reality (AR) in teaching English as a foreign language by using bibliometric mapping and content analysis. For this purpose, 64 studies in total published up to 2019 were accessed for bibliometric analysis. In addition, 49 articles published between 2007 and 2019…

We examine the American landscape of higher education quantitative research concerning how gender and sex demographic information is collected. We use a directed content analysis to examine the prevalence and operationalization of gender and sex among widely used higher education survey instruments. Our findings illuminate a seemingly haphazard…

Intended to guide scholars who are new to qualitative research, this methods brief focuses mostly on what reviewers look for in manuscripts submitted for publication. The author acknowledges that reviewers' preferences likely reflect their theoretical perspectives, research-oriented coursework, mentors, and research and writing experiences. The…

Instructional technologists and faculty in post-secondary institutions have increasingly adopted learning analytics interventions such as dashboards that provide real-time feedback to students to support student' ability to regulate their learning. But analyses of the effectiveness of such interventions can be confounded by measures of students'…

Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are…

In Victoria, Australia, one of the major roles of the teachers' aide (TA) is to assist students with disabilities to access their education. Researchers have identified the inconsistencies in defining the roles of the TA, in a variety of settings, by TAs, teachers, parents, and other research participants. Four main themes that have been…

The aim of this study is to determine the new trends concerning curricula and instruction. The articles that are published in journals of SSCI and ERIC databases are taken into the scope of this study. The new trends regarding relevant literature are tried to be identified by analysing 3079 articles in total through the content analysis method.…

Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…

The purpose of this study was to examine student perceptions of privacy principles related to learning analytics. Privacy issues for learning analytics include how personal data are collected and stored as well as how they are analyzed and presented to different stakeholders. A total of 330 university students participated in an exploratory study…

The use of analytic methods for extracting learning strategies from trace data has attracted considerable attention in the literature. However, there is a paucity of research examining any association between learning strategies extracted from trace data and responses to well-established self-report instruments and performance scores. This paper…

Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…

The purpose of this study was to investigate if students are prepared to release any personal data in order to inform learning analytics systems. Besides the well-documented benefits of learning analytics, serious concerns and challenges are associated with the application of these data driven systems. Most notably, empirical evidence regarding…

Learning analytics can promote pedagogically informed use of learner data, which can steer the progress of technology mediated learning across several learning contexts. This paper presents the application of analytics to a mobile learning solution and demonstrates how a pedagogical sense was inferred from the data. Further, this inference was…