This study aims to create learning path navigation for target learners by discovering the correlation among micro-learning units. In this study, the learning path is defined as a sequence of learning units used to realize a learning goal, and a period used for realizing the learning goal is regarded as a learning cycle. Furthermore, the learning…

The most recent data from the Australian Children's Education and Care Quality Authority (ACECQA) present good news; 79% of Australia's Early Childhood Education and Care services are now meeting the National Quality Standard (NQS). Yet one in five services remain below standard. Understanding the context and characteristics of these services, and…

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…

Education is seen as a resource at a global level but is currently considered to be in crisis in many parts of the world. This constitutes a significant drawback in terms of humanity's prosperity and well-being since education is the key not only to an educated workforce but also to humane, collaborative, and caring societies. Even within this dim…

Data Mining (DM) is one of the most offered courses in data analytics education. However, the design and delivery of DM courses present a number of challenges and issues that stem from the DM's interdisciplinary nature and the industry expectations to generate a broader range of skills from the analytics programs. In this research, we identified…

This article raises important questions about whether the increasing control of early years education through performance data is genuinely a means for school improvement. This composite article, examines the pervasiveness of attainment data in early years education professional activity, its impact on early years teachers' consciousness and…

Short comparative interrupted times series (CITS) designs are increasingly being used in education research to assess the effectiveness of school-level interventions. These designs can be implemented relatively inexpensively, often drawing on publicly available data on aggregate school performance. However, the validity of this approach hinges on…

Learning analytics is an emerging field in which educators and researchers are using data to improve their students' educational experiences. One of the most common courses offered by higher academic institutions in the US is data science. This paper examines the data science syllabi found in today's academic sector and compares the results to…

Measuring Early Learning Quality & Outcomes (MELQO) was initiated to address needs for child development and quality of early childhood education (ECE) data, specifically for low- and middle-income countries. Drawing from existing tools, MELQO convened a consortium to create open-source tools to be adapted to national contexts, simultaneously…

The purpose of this study was to explore award-winning instructors' insights on elements of their course design that were award-winning and the differences between expert and novice online instructors. Interviews were conducted with eight award-winning online faculty members from across the United States who had received online teaching awards…

Evidence-informed practice is now regarded as instrumental to school reform efforts both in England and elsewhere (Greany, 2015). This is especially important given the focus on school self-improvement coupled with a drive for high-quality teaching within a devolved, and increasingly autonomous, education system. Teaching schools are outstanding…

Background: Data-based decision-making (DBDM) and research-informed teaching practice (RITP) are key to teacher and school improvement. Currently, however, DBDM and RITP represent two distinct approaches to developing evidence-informed practice (EIP) and do not correspond to the all-encompassing notion of EIP envisaged by many academics and…

Data analysis techniques can be used to analyze the pattern of data in different fields. Based on the analysis' results, it is recommended that suggestions be provided to decision making authorities. The data mining techniques can be used in educational domain to improve the outcome of the educational sectors. The authors carried out this research…

Data has played an important role in England's recent school improvement journey. The evolution of the approach has not been perfect but the National Pupil Database has become a vital tool for health checking the education system, driving accountability, directing education policymaking, and tracking the educational attainment of key vulnerable…

Measuring of performance for lecturers' has become a popular event not only in the Botswana academic environment but in many parts of the world (16). Being charged with responsibilities as an AAT Team Leader the researcher was interested in getting feedbacks for faculty members in his department. This study focused on the relationship between…