In Australia, a new system of collecting data on school-aged students with disability is in the early phases of implementation. The "nationally consistent collection of data on school-age students with disability" (NCCD) establishes a mandatory data collection process in which teachers categorise and report on individual students' level…

Translation into another language to enable understanding (of concepts or phenomena) is a basic cultural technique and a prerequisite for international research. Translation decisions inevitably shape the research process and output for qualitative researchers relying on interview or textual data. Decisions need to be made in all stages of the…

In this article, the authors introduce the "Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II): A Framework for Statistics and Data Science Education" report. This report, which was published by the American Statistical Association (ASA) and endorsed by the National Council of Teachers of Mathematics…

Although educational researchers will acknowledge that they have a moral imperative to avoid harming their participants whilst carrying out research, it does not necessarily mean that they can describe the nature of what this harm might be or how it can be recognised and so avoided. This is particularly important for those working with vulnerable…

Distance learning has assumed a relevant role in the educational scenario. The use of Virtual Learning Environments contributes to obtaining a substantial amount of educational data. In this sense, the analyzed data generate knowledge used by institutions to assist managers and professors in strategic planning and teaching. The discovery of…

Researchers have demonstrated that video-based interventions are effective at teaching a variety of skills to individuals with intellectual disabilities. To replicate and extend this line of research, we initially planned to compare the effects of video modeling and video prompting on the acquisition of a novel work skill (i.e., data entry) in two…

Visual analytics technology enjoys a growing trend in data analysis and visualisation science. The potential of visual analytics application in classroom learning remains opaque. We integrated visual analytics tool in learning to examine higher-order thinking in terms of technology's innovation attributes, learning satisfaction, and…

Laboratory report assignments for non-major and introductory classes can be challenging because the students are unfamiliar with the type of technical writing required and the subject matter. These issues for the student make the grading for the instructor difficult and time consuming. Determining the level of detail to require, the format, and…

Courses: Organizational Communication; any advanced communication course that can benefit from using a case study approach. Objectives: This semester-long case study assignment asks students to write a case study around an organizational communication issue based on their empirical data collection of a real organization. Students are expected to…

The purpose of the study was to investigate the leadership practices that elementary school administrators and leadership teams utilize to promote effective, successful, and sustainable schoolwide positive behavioral interventions and supports (SWPBIS). The study focused on the practices, processes, and challenges that administrators and school…

This study focus on how administrators in districts approach data and data use in education differently. Based on data material from local policy documents, interviews with district administrators and observations from meetings with district administrators, school leaders and teachers, we reveal how different views on learning outcomes manifest in…

Big Data Technology (BDT) and Analytics have gained immense recognition in recent years. BDT plays an essential role in various sectors. This study intends to provide a review of BDT in the education sector which includes analyzing, predicting learner's results based on behavior patterns, assessing their performance regularly. Education…

The proliferation of vast quantities of available datasets that are large and complex in nature has challenged universities to keep up with the demand for graduates trained in both the statistical and the computational set of skills required to effectively plan, acquire, manage, analyze, and communicate the findings of such data. To keep up with…

This paper summarizes findings from a consensus panel on using data from learning management systems and software to help educators understand and improve student engagement during remote instruction. Center on Reinventing Public Education (CRPE) convened a group of researchers, practitioners, and technology and curriculum providers to explore how…

The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…