An antecedent exercise (AE) intervention was conducted with two young children who demonstrated challenging behaviors during a large group circle time activity in a preschool classroom; outcomes were evaluated in the context of alternating treatments designs. Results from the initial visual analysis suggested no overlap between conditions, with…

The Aim: Evidence shows that, along with other variables, the parenting environment contributes significantly to the educational attainment gap. Whilst 'face-to-face' parenting programmes have been shown to be effective, very few studies have examined online models of delivery. Questions to be addressed, therefore, include establishing if widely…

Flipped instruction has become a hot issue in foreign language teaching technology. In this study, we tracked learners in a beginner-level Chinese Foreign Language classroom to see if flipped teaching based on a MOOC made a difference to their oral proficiency development and rate of progress compared to a baseline group. Language development was…

Massive Open Online Courses (MOOCs) are dramatically restructuring, reshaping, and redefining the vast landscape of teaching and learning across the globe. With MOOCs' ubiquity, openness, and accessibility, they have become a new platform for teacher professional development. Utilizing a co-constructed narrative inquiry, this paper aimed to…

Massive Open Online Courses (MOOCs) are widely used to deliver specialized education and training in different fields. Determining the effectiveness of these courses is an integral part of delivering comprehensive, high-quality learning. This study is an evaluation of a MOOC offered by Imperial College London in collaboration with Health iQ…

Team assessment has been suggested as a competency-based collaborative learning technique. Critical to the success of an assessment for learning, in competency-based education, is the use of formative feedback. This study reports on the development of, and the students' experience of, a Team Assessment with Immediate Feedback (TAIF), in which…

Over the last few years, student engagement has become a commonly used term in Higher Education across the United Kingdom, American and Australasian higher education systems. This article presents research on an area of student engagement absent from the literature, that of new lecturers' practices. Following detailed analyses of interview data…

The role of social tools in massive open online courses (MOOCs) is essential as they connect participants. Of all the participants in an MOOC, top contributors are the ones who more actively contribute via social tools. This article analyses and reports empirical data from five different social tools pertaining to an actual MOOC to characterize…

In this paper, we address issues of transparency, modularity, and privacy with the introduction of an open source, web-based data repository and analysis tool tailored to the Massive Open Online Course community. The tool integrates data request/authorization and distribution workflow features as well as provides a simple analytics module upload…

Massive open online courses (MOOCs) have recently gained worldwide attention from educational institutes. MOOCs provide a new option for learning, yet measurable learning benefits of MOOCs still need to be investigated. Collecting data of three MOOCs at Yuan Ze University (YZU), this paper intended to classify learning behaviors among 1489…

Massive open online courses (MOOCs) are a relatively recent innovation with potential to provide access to relevant education and workforce training at scale. RTI International previously studied MOOCs in the context of the US market and determined that more efforts are needed to examine the prospect of MOOC use in developing economies. This paper…

With the accelerating development of open education, low-cost online learning resources, such as Massive Open Online Courses (MOOCs), are reaching a wide audience around the world. However, when faced with these appealing but overwhelming learning resources, learners are prone making rash learning decisions, which may be either excessive or…

The big data imposes the key problem of generalizability of the results. In the present contribution, we discuss statistical tools which can help to select variables adequate for target level of abstraction. We show that a model considered as over-fitted in one context can be accurate in another. We illustrate this notion with an example analysis…

With a goal of better understanding the online discourse within the Massive Open Online Course (MOOC) context, this paper presents an open source visualisation dashboard developed to identify and classify emergent discussion topics (or themes). As an extension to the authors' previous work in identifying key topics from MOOC discussion contents,…

Over the past three years, Massive Open Online Courses, or MOOCs, have spanned the globe, educating millions with the potential to reach millions more. Taught by leading academics from top institutions, the courses are as complete as those offered in traditional settings; yet, in being web-based and tuition free, they disregard long-standing…