In this paper, the concepts of fabrication, subjectivation and performativity are mobilised in an analysis of varied exclusionary practices in England's schools with particular reference to "off-rolling", defined by the national school inspectorate as the illegal removal of a student from a school roll in order to enhance academic…

In the data science courses at the University of British Columbia, we define data science as the study, development and practice of reproducible and auditable processes to obtain insight from data. While reproducibility is core to our definition, most data science learners enter the field with other aspects of data science in mind, for example…

Cultivating inclusive classrooms, where all students are heard, affirmed, and validated, is an equity issue. As an instructional coach and a supervisor of coaches, the author has a moral obligation to work against the system that was designed to and continues to oppress some students and benefit others. This work often brings up difficult…

Massive open online courses (MOOCs) have evolved rapidly in recent years due to their open and massive nature. However, MOOCs suffer from a high dropout rate, since learners struggle to stay cognitively and emotionally engaged. Learner feedback is an excellent way to understand learner behaviour and model early decision making. In the presented…

Although there are many education information management systems (EMISs) that currently apply administrative development, they contain limited powers, thus leading to the emergence of problems--the most important and damaging of which being the loss of data quality and ensuring how to verify the validity the education and training information…

The commercial space industry is facing a shortage of qualified workers due to the aging and retirements of the workforce and the inability to find qualified candidates. To explore the training, educational experiences, and technical competencies of entry-level manufacturing engineers, the researcher interviewed eight manufacturing engineers at…

To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance for educators to create accessible and engaging Artificial Intelligence (AI) learning experiences for K-12 students. These efforts revealed a significant need to prepare youth to gain a fundamental understanding of how intelligence is created,…

The purpose of this research was to compare the performances of the Fixed Effect Model (FEM) and the Random Effects Model (REM) in the meta-analysis studies conducted through 5, 10, 20 and 40 studies with an outlier and 4, 9, 19 and 39 studies without an outlier in terms of estimated common effect size, confidence interval coverage rate and…

Use of university students' educational data for learning analytics has spurred a debate about whether and how to provide students with agency regarding data collection and use. A concern is that students opting out of learning analytics may skew predictive models, in particular if certain student populations disproportionately opt out and biases…

The article seeks to refine two central concepts in scholarly accounts of national policy responses to international data: 'selectivity' and 'instrumentalisation'. It does so by broadening, firstly, the empirical focus of research to include forms of international data other than the performance data of global learning metrics and international…

The global COVID-19 pandemic has severely hit the lives of the people of Nepal. The country witnessed two phases of lockdown over 10 months from March 2020 until August 2021. I completed my PhD data collection in Nepal through February to April 2021, when the pandemic's risk was naturally lowered. My research explores local value systems of…

The rapid development of big data technology has attracted a variety of sectors, including tertiary education. The purpose of this paper is to construct a precision teaching mode based on big data technology in order to improve teaching quality and further promote education and teaching reform. The proposed mode, based on the theory of precision…

The author of this article describes a new undergraduate course where students use Python programming for macroeconomic data analysis and modeling. Students develop basic familiarity with dynamic optimization and simulating linear dynamic models, basic stochastic processes, real business cycle models, and New Keynesian business cycle models.…

In the last decade education has experienced a shift from privatization to commercialization. This paper argues that the commercialization of education has evolved more recently as a result of artificially intelligent corporate players, enabling forms of insights sales called 'Dark Advertising'. It unpacks how Dark Advertising are profiting from…

Recently, there has been a demand for increased educational technology usage in the university classroom, despite expanded access and implementation there has been little attention paid to student data privacy concerns. Our work is one institution's response to addressing the data privacy gap by creating a comprehensive review process for…